Telecommunications System & Management

ISSN: 2167-0919

Open Access

Current Issue

Volume 9, Issue 1 (2020)

    Editorial Note Pages: 1 - 1

    Editor Note on Journal of Telecommunication System and Management

    Dr.Kalyan Raman

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    Special Issue on Artificial Intelligence & Robotics (2020)

      Value Added Abstracts Pages: 2 - 2

      The Foundations of Robosociology: Values and The Aggregate Behaviors of Synthetic Intelligences

      Adam Alonzi

      Outcomes on the macro level often cannot be accurately extrapolated from the microbehaviors of individual agents. The interdependence of complex system’s components makes simulation a viable option for exploring cause and effect relationships within it (Miller and Page, 2009). Chaos theory emphasizes the sensitivity of such networks to starting conditions (Boccaletti, 2000), which strongly suggests thought should be put into the architecture of an AGI “society” before it begins to take shape. Protocols for emergency interventions should certainly be in place, but the network itself should be robust enough from the beginning to handle sudden deviations from basic ethical precepts by one or more of its members.  Outside of its context, and without any information about the parts to which it is connected, a cell or leaf or animal can be studied, but not understood in a meaningful way (Mitchell, 2009). Creating moral agents in a hyperconnected world will involve modeling their interactions with entities like and unlike themselves in the face of both predictable and unforeseen events. This will be helpful as groups can behave differently than their individual parts (Schelling, 1969) Keeping AI friendly does not end with giving each AI a set of maxims before letting them loose, but satisfactorily explicating upon the emergent phenomena that arise from the interactions of similarly or differently “educated” machines. Because of the near certainty that synthetic intelligences will communicate rapidly and regularly, it is imperative that thought leaders in AI safety begin thinking about how groups of artificially intelligent agents will behave.

      Editorial Pages: 1 - 1

      Conference Announcement on Webinar on Artificial Intelligence & Robotics


      We are satisfied to invite you to the " Webinar on Artificial Intelligence & Robotics "after the fruitful culmination of the arrangement of Artificial Intelligence Congress. The congress is planned to occur August 23, 2020.

      This Artificial Intelligence gathering will give you an excellent research understanding and tremendous thoughts. Artificial Intelligence will concentrate on the subject Innovations and headways in Artificial Intelligence. We are certain that you will appreciate the Scientific Program of this up and coming Conference. The point of view of the Artificial Intelligence Conference is to set up cutting edge research to assist individuals with seeing how procedures have progressed and how the field has created as of late.

      Artificial Intelligence is an area of programming building that underscores the creation of canny machines that work and react like individuals. Artificial Intelligence is master in examining how human cerebrum thinks, learn, choose, and work while attempting to take care of an issue, and afterward utilizing the results of this investigation as In the reality, the information has some unfortunate properties. In the advanced world, Artificial Intelligence can be utilized from multiple points of view to control robots, Sensors, actuators and so forth. A robotization framework is a framework that controls and shows building association. These frameworks can be set up in a couple of commonplace ways.  In this portion, a general development outline work for a structure with complex prerequisites because of the activity, for example, a counselling room will be depicted.

      Real plan often has a portion of the highlights and segments portrayed here yet not every one of them. The computerization level comprises of every single dynamic control that direct the field level gadgets in real time. This is perhaps the best case of robotization.  In web based shopping the imbursement and checkout are through online discussion framework.

      The most other designing majors work with Artificial Intelligence, however the core of Artificial Intelligence is Automation and Automation Engineering over every one of the supporters.  Artificial Intelligence gathering is likewise involved Best Post Awards, Best Oral Presentation Awards, Young Researchers Forums (YRF) and furthermore Video Presentation by specialists.

      We are happy to invite all of you to join and enrol for the "Webinar on Artificial Intelligence & Robotics" which will be held during August 23, 2020. Individuals who have missed going to the past gathering are generally free to show your examination thoughts at the 2020 Artificial Intelligence meeting. This meeting will assist you with improving systems administration with famous individuals in the field of transplantation.

      Value Added Abstracts Pages: 4 - 4

      Research Based on COVID 19

      Marandure Elisha

      In my research I discovered that corona virus it is a virus that was discovered way back. Corona virus has MERS, SARS etc. My main aim for this research is based on covid- 19

      COVID- 19

      A lot of people around the world have different views and beliefs on the source of the virus. Even up to now the source of the virus is still under debate, thus resulting in less confidence enough for scientists to come up with a better solution to save humanity, as Scientists have been trying to understand the origin of COVID-19 and the virus that course it SARS-cov-2...(Why?).Original scientists believed that the virus may have developed in bats and later pangolins.... (Why bats and why later pangolins if it has been bats?).

      Well then genomic comparisons suggest that the SARS cov 2 virus is a result of a recombination between two different viruses, meaning the exact origin of the virus is still unclear. (Unclear? Meaning to be clear enough, bats and pangolins, or group family of such kind of animals may help come up with the clear and that's possible). Let's look at MERS a bit Health officials first reported the disease in Saudi Arabia in September 2012(places to look at Saudi Arabia). Through retrospective (backward-looking) investigations, they later identified that the first known cases of MERS occurred in Jordan in April 2012(first case of MERS in Jordan). All cases of MERS have been linked through travel to, or residence in, countries in and near the Arabian Peninsula. The largest known outbreak of MERS outside the Arabian Peninsula occurred in the Republic of Korea in 2015(MERs could also help us come up with the clear view if we trace back to the places it occurs, if it occured in Saudi Arabia,then let's look at the places like Ethiopia,Somalia, Egypt and Suda as well as some places in Africa which does trade in pangolins and other animals including poachers the type of animals they were interested in hanting as well type of meat hunt they eat during the process of poaching. If we are to look at Korea both both and south on the other hand ,what type of food bat or pangolins or snake related,shipping animals as well the travel through water infected fish and so on,so let's look dip in to areas like Korea, Zibo,Dalian,Qingdao,Yangzho,Nanzhing as well how good the relationship of food supplies and movement of people from other location it was to Wuhan?). The outbreak was associated with a traveler returning from the Arabian Peninsula.People with MERS can spread it to others......

       The other way I personally view and under my search goes like. Under normal circumstances the courses of the virus is usually authenticated of such venom threats apart from the figurative sauces to which the identification is malicious pertaining to other deadly viral diseases that has been figured out as global pandemic in about years back. Currently I may say covid 19 is an acute airborne diseases that affects the body with an immediate air crafted response (physical connection distance). Although I may not refer to any source or book because of its causes due to the current diligence researches

      So I vividly consider the research to be part of the animal scientist’s task to take part of the identification so as to approach either soil environmental creature because basically we would have to imagine if it an animal based disease it won’t be possible for us to toss the whole world since we have some animals that are not even found within our locality, like African countries as I heard from one of the medical expert and I argue with them as not true fact of convincing the world,so for us to toss the world will be only due to search of how Corona has been to existence. So I now confident enough that covid 19 it’s a man-made virus that is air crafted with a travelling motivation and reactivate motion that influence our social wellbeing. I know this might sounds crazy but one thing I’m sure about is since we are now chewed with the susceptible society and hypocritical world.

      So from the above I may say it's just a few of what I have and due to lack of enough apparatus to use for the whole search I just have to give a written document so my little idea might help scientists help save humanity

      So for now in my research I think can be done is to go over and over some experiments

      What is a Bat? How do a bat survive? What type of food a bat eat? Looking in to a system of a bat, as well as some type of snakes expected to be the ones to the course, as well as the pangolins.

      Herbs like Zumbani, lemons, Tsine, in shona, Baobabarous type of alovera (gavakava), Ginger, garlic supposed some I've mentioned are not yet tested to be use but alovera have 21 nutrient elements which may help human system (specific baobabarous type)

      Value Added Abstracts Pages: 5 - 5

      The SP Theory of Intelligence and its potential in robotics

      J Gerard Wolff

      The SP System, meaning the SP Theory of Intelligence and its realisation in the SP Computer Model, is the product of a lengthy programme of research, which now provides solutions or potential solutions to several problems in AI research [1]. There is an extended overview of the SP System in [2], and there is a much more comprehensive description in [3]. Details of related publications, with download links, are on This presentation is about how the SP System may prove useful in the development of intelligence in robots. A peer-reviewed, published, paper about this is in [4]. The main theme of this presentation is generality, as described in the following subsections. Generality needed for AI in robots Where some degree of autonomy and intelligence are required in robots, it seems fair to say that capabilities that have been developed so far are quite narrowly specialised, such as vacuum cleaning an apartment or a house, navigating a factory floor, walking over rough ground, and so on. It seems fair to say that there is a pressing need to provide robots with human-like generality and adaptability in intelligence.

      Value Added Abstracts Pages: 3 - 3

      Representing and Reasoning about Viewpoint within the context of Computer Vision, Computer Graphics and Robotics

      Mr. Andrew Ritz

      The concept of Viewpoint Reasoning was proposed a number of years ago within the context of 3D Model-Based Vision for representing viewpoint information about a scene and the objects therein. This concept is based on a representation that stores feature visibility in terms of 3D surfaces or solids that encapsulate individual objects or the whole scene, much in the same way as property spheres and the aspect graph. When the visibility of objects and their features are represented in this way, answers to questions about the joint visibility of features from viewpoints within a scene are at hand. With respect to computer graphics, viewpoint reasoning requires semantics to be routinely associated with 3D objects and the scenes they are placed in. Once this is done a large number of options become available for interacting with a scene and individual objects in a task-oriented way and not just in terms of geometry. Viewpoint Reasoning can be applied within the areas of Computer Graphics and Robotics to problems such as Good Viewpoint Selection, Sensor Placement, Motion Planning, and Object Exploration. This talk describes a system, written in the programming language Python, which demonstrates how such tasks can be performed even when complex objects are involved.

      Value Added Abstracts Pages: 6 - 6

      AI the single most important tool humanity has conceived

      Kelvin Ogba Dafiaghor

      Artificial Intelligence is the development of computer systems to be able to perform task normally requiring human intelligence. Examples are visual perception, speech recognition, decision-making and translation between languages e.t.c. According to Artificial intelligence is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. Artificial intelligence is the technology that drive most modern technology from self driving cars to even our snap chart filter. According to Andrew Ng, an authority in the field of artificial intelligence, he said just as electricity transformed almost everything 100 years ago, we have seen so far that AI will transform our industry in the next several years. AI already powers our home i.e. smart homes, our phone cameras, driverless cars like in Tesla cars. Fictional movies are becoming a reality with artificial intelligence. we now see company trying to create neural machine interface to bridge the gap between humans and AI because of the rate of advancement of AI. It is estimated that trade involving AI will hit $13 trillion by the year 2030. An easy way to build the skills necessary for the machine-learning and AI field is continuing education, in addition to formal strong data science programs, there are also many viable, free options. Importance of Artificial Intelligence. Artificial intelligence as the best tool to solve global poverty. Artificial intelligence can be used to bridge the gap between the have and the have not between the develop and the underdeveloped world. Artificial intelligence can bring same kind of quality education obtainable in Harvard to FUPRE.

      Value Added Abstracts Pages: 7 - 7

      Human and Multi-Agent collaboration in a human-AI teaming framework

      Neda Navidi

      Summary: The main focus of this talk is "human-AI teaming", specifically the mode of "human-AI collaboration" where humans and AIRL-based agents accomplish tasks together in a multi-agent system. Therefore, the objective cannot be achieved by just a lone human or agent, and the responsibilities in the environment are partitioned and/or shared between humans and agents.


      Collaborative multi-agent reinforcement learning (MARL) as a specific category of reinforcement learning (RL) provides effective results with agents learning from their observations, received rewards, and internal interactions between agents. However, centralized learning methods with a joint global policy in a highly dynamic environment present unique challenges in dealing with large amounts of information. This study proposes two innovative solutions to address the complexities of a collaboration between human and multiple RL-based agents (referred to hereafter as “Human-MARL teaming”) where the goals pursued cannot be achieved by a human alone or agents alone. The first innovation is the introduction of a new open-source MARL framework, called COGMENT, to unite humans and agents in real-time complex dynamic systems and efficiently leverage their interactions as a source of learning. The second innovation is our proposal of a new hybrid MARL method, named Dueling Double Deep Q learning MADDPG (D3-MADDPG) to allow agents to train decentralized policies parallelly in a joint centralized policy. This method can solve the overestimation problem in Q-learning methods of value-based MARL. We demonstrate these innovations by using a designed real-time environment with unmanned aerial vehicles driven by RL agents, collaborating with a human to fight fires. The team of RL agent drones autonomously looks for fire seats and the human pilot douses the fires. The results of this study show that the proposed collaborative paradigm and the open-source framework leads to significant reductions in both human effort and exploration costs. Also, the results of the proposed hybrid MARL method shows that it effectively improves the learning process to achieve more reliable Q-values for each action, by decoupling the estimation between state value and advantage value.

      Value Added Abstracts Pages: 8 - 8

      Making Money Out of Data

      Mr. Shailendra Kumar

      Though a lot has been talked about emerging technologies, there are still a lot of unknowns on the concepts. To bring it to life, Shailendra will take a use case approach to showcase how large organizations are becoming Intelligent Enterprises to Make Money out of Data. Shailendra will also talk about how data can bring business value to an organization through data-driven analytics strategies for revenue growth, cost reduction, marketing, and customer behavior management to drive business outcomes driving a huge return on investment. It will give an opportunity for students to ask direct questions to Shailendra, understanding the basic concepts of Data Science.

      Special Issue on AI & Robotics (2020)

        Editorial Pages: 1 - 1

        2021 Conference Announcement on 2nd International Conference on Automation and Artificial Intelligence


        We are satisfied to invite you to the "2nd International Conference on Automation and Artificial Intelligence "after the fruitful culmination of the arrangement of Artificial Intelligence Congress. The congress is planned to occur in the excellent city of London, UK, on June 15-16, 2021.

        This Artificial Intelligence 2021 gathering will give you an excellent research understanding and tremendous thoughts.

        Artificial Intelligence 2021 will concentrate on the subject Innovations and headways in Artificial Intelligence. We are certain that you will appreciate the Scientific Program of this up and coming Conference. The point of view of the Artificial Intelligence Conference is to set up cutting edge research to assist individuals with seeing how procedures have progressed and how the field has created as of late.

        Artificial Intelligence is an area of programming building that underscores the creation of canny machines that work and react like individuals. Artificial Intelligence is master in examining how human cerebrum thinks, learn, choose, and work while attempting to take care of an issue, and afterward utilizing the results of this investigation as In the reality, the information has some unfortunate properties. In the advanced world, Artificial Intelligence can be utilized from multiple points of view to control robots, Sensors, actuators and so forth. A robotization framework is a framework that controls and shows building association. These frameworks can be set up in a couple of commonplace ways.  In this portion, a general development outline work for a structure with complex prerequisites because of the activity, for example, a counselling room will be depicted.

        Real plan often have a portion of the highlights and segments portrayed here yet not every one of them. The computerization level comprises of every single dynamic control that direct the field level gadgets in real time. This is perhaps the best case of robotization.  In web based shopping the imbursement and checkout are through online discussion framework.

        The most other designing majors work with Artificial Intelligence, however the core of Artificial Intelligence is Automation and Automation Engineering over every one of the supporters.  Artificial Intelligence 2021 gathering is likewise involved Best Post Awards, Best Oral Presentation Awards, Young Researchers Forums (YRF) and furthermore Video Presentation by specialists.

        We are happy to invite all of you to join and enrol for the "International Conference on Automation and Artificial Intelligence" which will be held during May21-22, 2020. Individuals who have missed going to the past gathering are generally free to show your examination thoughts at the 2020 Artificial Intelligence meeting. This meeting will assist you with improving systems administration with famous individuals in the field of transplantation.

        Short Communication Pages: 2 - 2

        Multifunctional Robot Vehicle

        Balaji Thiru

        the multifunctional controller vehicle comprises of three primary capacities. Initial one is bomb distinguishing. Second one is putting out fires and last one is sun powered grass shaper. These capacities are very utilizing full in numerous applications. For example, armed force, homegrown, mechanical, timberland insurance and etc., the bomb identifying give an additional line safeguard to the military warriors and the bomb crew. The putting out fires framework goes about as a fire douser during fire mishap and the sunlight-based grass shaper is utilized to cut the grass with the assistance of sun-based force and straightforward instrument. In this sun-based grass shaper framework the sun-based vitality utilized as source vitality so contamination is decreased and fuel isn't too used to even consider running the vehicle.

        The principle point of the Multifunctional Remote-Control Vehicle (MFRCV) is to decrease the expense and development space and increment the work proficiency. In this task the three capacities are included. The bomb identifying framework is utilized to distinguish the bomb in the war place and some other spot. These bomb recognizing frameworks comprise of electromagnetic sensor. This sensor is worked by the guideline of electromagnetic enlistment. At the point when the current conveying Material to be set close to it, it will deliver attractive acceptance.

        Short Communication Pages: 3 - 3

        Monstrous Artificial Intelligence

        Kelvin Ogba Dafiaghor

        In the quest to create a sophisticated ecosystem, researchers have committed to advancing artificial intelligence (AI) technologies thus leading to an expansion in its field of application. AI has changed the spheres of human life as it has found its application in almost every field from daily human needs, health care systems, error optimization, economic decision, to information technology and industrial machines (Robotics). AI, as regarded in this article, can be classified into two, which are the Narrow AI also regarded as weak AI, which is modelled to perform a specific task and General AI a strong AI which is modelled to perform a complex task.

        Nonetheless, the incessant growth of the AI field, its positive impact and the enthusiasm of researchers towards this field have obscured most researchers from ensuring the field's safety and its benefits to the society. Although some experts in the field like Elon Musk talked about the possibility of AI outgrowing and destroying humanity. hence Elon proposed a Neuralink which will allow humans to achieve symbiosis with AI.

        This article gives a brief introduction to AI, examines the benefits and risks of AI; especially the general AI and discuss the need to regulate the AI-based researches to prevent the field from becoming a monster to the society. “Success in creating effective AI could be the biggest event in the history of our civilization. Or the worst. So, we cannot know if we will be infinitely helped by AI, or ignored by it and side-lined, or conceivably destroyed by it,” this quote as stated by Stephen Hawkings, is one that must be put into consideration for a safe and beneficial AI integrated society. Hence the author of this article is working with other experts all over the globe to see that AI is regulated under the UN and that a regulatory body is established.

        The author of this article Kelvin Ogba Dafiaghor is a chemical engineering graduate from Enugu State University of Science and Technology, Enugu, Nigeria. He has an MBA in leadership and management from the Accra Business School, Accra, Ghana. He is the founder of Ogba Educational Clinic, a dynamic organization solving the Educational needs of young Africans and Artificial Intelligence Hub, a technology organization that empowers young people with tech skills relevant for future jobs brought by the fourth industrial revolution. Kelvin has been to Morocco, Ethiopia, Ghana, United Arab Emirates, and many African countries, advancing the frontiers of Artificial Intelligence. Kelvin is a Mentor at Digital peace and an Ex mentor at the Global Stem Alliance, a professional member of The New York Academy of Sciences, a member of Afrilab and a top fan World Economic Forum.

        Short Communication Pages: 4 - 4

        Assessment of sources of adult plant resistance genes to stem rust in Ethiopian durum wheat genotypes

        Mesfin Kebede Gessese

        Stem rust is a devastating disease of bread wheat and durum wheat in the major wheat-growing regions of the world. Races belonging to the Ug99 (TTKSK) lineage of the wheat stem rust fungus, carrying complex virulence combinations, and their migration to countries in Africa, Middle East and Asia continue to pose a significant threat to global wheat production. Therefore, the present study was conducted in the greenhouse and field to assess sources of durable resistance to stem rust. Fifteen durum wheat genotypes and a susceptible cultivar ‘Morocco’ were evaluated in the greenhouse and field at Debre Zeit Agricultural Research Center, Ethiopia in order to detect the presence of effective stem rust resistance genes. A mixture of three dominant races of Puccinia graminis f. sp. tritici (TKTTF, TTKSK and JRCQC) was used for inoculation. The field experiment was conducted using RCB design with three replications at two different locations. Phenotyping of the genotypes at seedling stage in the greenhouse showed four genotypes (Ginchi, Quami, DW-#3 and DW-#11) that carried effective ASR genes; however, the rest eleven genotypes showed susceptible reaction. On the other hand, the field assessment of the genotypes for stem rust resistance showed presence of varied levels of field resistance. The combined results from both seedling reaction test and field experiments indicated that the eleven genotypes might possess one or more adult plant resistance (APR) genes to stem rust of wheat. Molecular marker analysis for detection of the known APR genes (Sr2, Sr55, Sr56, Sr57, and Sr58) should be conducted along with multi-pathotype tests for further determination of the specific genes(s) that conferred resistance to stem rust pathogen races including Ug99 and its derivatives for each genotype. The eleven genotypes that possessed APR genes can be good sources of durable stem rust resistance genes to be incorporated in the Ethiopian durum wheat improvement program.

        Short Communication Pages: 5 - 5

        Making AI Safer through identification and remediation of AI Risks Across Security, Ethics, Transparency, Compliance, and Other Pillars

        Murai Rao & Kashyap Murali

        100 Billion Dollars. That’s how much AI spending is projected to rise to in a mere 3 years. With such rapid investment in a next-generational technology, its safety becomes of heightening concern to everyone that comes in touch with it from customers to vendors alike. Questions about the AI models safety across any potential security risks, particular bias towards a minority group, a lack of transparency in the decision-making process, or compliance violations from the AI environment are raised, and don’t have a proper answer. These questions don’t just apply to a specific vertical but it’s domain-agnostic and ensuring that a businesses AI is safe is what will set them apart from their customers. This talk will explore what AI safety is, why we need it, and how to ensure that one’s AI model is safe both technically and procedurally.

        Short Communication Pages: 6 - 6

        Public Telephone Dialing Habits and Preferences

        Naveen Albert

        We conduct surveys of the general populous in order to gauge current public sentiments with regards to telephone dialing habits and preferences. We analyze the results collected from these surveys in aggregate and compare them with each other. We observe that there continues to be a strong public favoring of traditional seven-digit dialing and that opposition to ten-digit dialing remains widespread. We additionally find that this continues to be the case in spite of proposals or implementations of public safety initiatives that have stipulated ten-digit dialing be required in certain circumstances. Our results concur with previous studies conducted in this domain that were conducted in the context of number relief, suggesting that historical trends, while potentially less pronounced than they once were, remain valid in the modern era.

        Special Issue on Mobile Computing (2020)

          Editorial Pages: 1 - 1

          Conference Announcement on Mobile Computing and Its Applications

          Yassir Karroute

          We are pleased to welcome you to the “International Conference on Mobile Computing and Wireless Communication and Its Applications” after the successful completion of the series of Mobile Computing Congress. The conference is scheduled on November 18-19, 2021 France time zone. This Mobile Computing 2021 Conference will provide you with an exemplary research experience and huge ideas. The perspective of the Mobile Computing Conference is to set up technology research to help people understand how Technology techniques have advanced and how the field has developed in recent years. Mobile Computing rapid uptake of mobile devices and the rising popularity of mobile applications and services pose unprecedented demands on mobile and wireless networking infrastructure. Upcoming 5G systems are evolving to support exploding mobile traffic volumes, real-time extraction of fine-grained analytics, and agile management of network resources, so as to maximize user experience. Fulfilling these tasks is challenging, as mobile environments are increasingly complex, heterogeneous, and evolving. One potential solution is to resort to advanced machine learning techniques, in order to help manage the rise in data volumes and algorithm-driven applications.

          Short Communication Pages: 2 - 2

          Mobile Computing Application In Advanced Urban Public Transportation System

          Manish Chaturvedi

          The ICT based advanced urban public transportation systems (APTS) are used to improve the commuters’ experience during their trips using public transportation buses. Generally, the deployment of APTS solutions requires the manual route feedings which is a tedious task specifically when the route changes are frequent. We design an automatic bus-stop detector using the GPS traces of buses and the crowd sourced accelerometer data of the commuters. We leverage the stop-and-go pattern of buses observed during their trips. The historical trajectory data of buses are processed using the DBSCAN algorithm to find all the locations where a bus stops recurrently during its trip (including the non-bus-stop locations). To discard the non-bus-stop locations, we utilize the fact that the bus-stops are the locations where commuters board or alight the bus. When a commuter is near the location detected as a stoppage by the DBSCAN algorithm, the accelerometer data of the commuter are processed in her smart phones to detect the bus-boarding event. The process involves the stepping event detection and the transport mode classification. The locations of bus-boarding events are used to extract all the bus-stops on the route accurately.

          Short Communication Pages: 3 - 3

          Multi-core and multi-mode optical fibers for high capacity optical transmission

          Ben Puttnam

          Optical transmission systems and networks underpin the digital economy and form a key part of the worldwide communications infrastructure. However, ongoing provision of new services and larger data volumes required to meet the needs of businesses, academia, governments and citizens provide new challenges to optical communication infrastructure with operators also facing commercial pressure to offer them at ever lower cost per bit. In the research community this has led to the exploration of advanced optical fibers to replace the standard single mode fiber (SMF) which has dominated commercial fiber systems for decades. Broadly described as space-division- multiplexing (SDM) [1] , this research field refers to fibers that allow data transmission in parallel strands of SMF, a combination of multiple cores within a single cladding or multiple modes in a single core [2]. In each case, the aim is typically to both increase the achievable data throughput and also to encourage energy and resource savings, hardware integration and joint signal-processing. Here, we describe a series of experiments that aim to characterize the basic properties of such fibers [3-5] and how they can be used to increase efficiency and cost savings. Finally, we describe experiments demonstrating how they may be exploited for super high capacity optical transmission.

          Short Communication Pages: 4 - 4

          Experimental Characterization of Sigma Delta Radio over Fiber System for 5G CRAN

          Muhammad Usman Hadi

          Radio over Fiber (RoF) is an apting technology for the next generation wireless networks including 5G Cloud Radio Access Network (C- RAN). Digital Radio over Fiber (D-RoF) networks are immune to nonlinearities that arise in Analog Radio over Fiber (A-RoF). However, with increase in carrier frequencies and baud rate, the D-RoF cost becomes crucial. There exists a possibility to use Sigma Delta Radio over Fiber (S-DRoF) that combines the advantages of A- RoF and D-RoF by means of Sigma Delta Modulator (SDM) at the transmitter side subsequently replacing the employment of expensive and high-speed digital to analog converters. In this paper, we demonstrate the usage of 2nd order SDM for LTE 20 MHz signal having 256 QAM modulation on a central carrier frequency of 2.475 GHz for the implementation of S-DRoF for 10 Km of Standard Single Mode Fiber with baud rate from 25 to 100 Mbaud. Withal, a comprehensive analysis of the design of SDM is explained followed by the experimental setup. The performance is reported in terms of error vector magnitude, and adjacent channel leakage ratio. The results show that the proposed architecture performance is within the LTE specifications, proving this is a cost and power effective solution for next generation wireless networks.

          Short Communication Pages: 5 - 5

          Interferometer based demodulation technique of phase shifted fiber Bragg grating sensor for acoustic signal sensing

          Deepa Srivastava

          Grating based sensors are ideal candidates for strain and temperature measurement. Many researchers have already anticipated detecting low strain signal by using an fiber Bragg grating (FBG) sensor instead of the conventional lead- zirconate-titanate (PZT) sensor due to the benefits of the FBG together with flexibility, immunity from electromagnetic interference, corrosion resistance, small size, ability to be embedded, and multiplexing capabilities [1]. Especially, FBG sensors are playing a noteworthy role towards the detection of low amplitude dynamic signal. Therefore, there are two essential necessities for detecting low strain signal: broad bandwidth and high sensitivity. FBG is not capable to detect low strain signal because if the wavelength of low strain signal is much lesser than the Bragg wavelength, no change will arise in FBG reflection spectrum. Towards this direction, many researchers developed phase shifted grating based ultrasonic sensors to achieve broader bandwidth and superior sensitivity. The schematic of a phase-shifted FBG is shown in Fig. 1(a). It consists of a phase jump of π at the center of an otherwise periodic modulation of the refractive index in the core of a single mode fiber. Thus, the π phase shift region in the middle results in two identical gratings separated by half the grating pitch (Λ). This phase jump leads to a spectral peak at the center of the transmission spectrum of the grating. Fig. 1(b) shows the transmission spectrum of a phase-shifted FBG of length L=25 mm, which is characterized by a very narrow line width transmission peak at the center. The bandwidth of this transmission peak measured as FWHM (full width at half maximum) is ~ 26 pm. The phase variation in middle of the grating decreases the requirement of effective length of the sensor and delivers an extremely narrow peak for high sensitivity measurement [2-4].

          Short Communication Pages: 6 - 6

          The utilization of laser-induced nucleic acid amplification reaction on the surface of composite magnetic nanoparticles for rapid and semi-quantitative genes detection

          Pin-Kuan Yeh

          Nucleic acid testing (NAT) is regarded as a highly sensitive and specific method for infectious disease screening. Among NAT technologies, polymerase chain reaction (PCR) and loop-mediated isothermal amplification (LAMP) are two common technologies in fundamental research and clinical applications for nuclei acid amplification, which the targeted genes at accurate thermal- control conditions. However, while implementing these two technologies in the external heater (e.g., PCR machine), indirect heat transfer not only leads to massive amounts of energy consumption but increases the cost of assembling a complicated and huge-volume thermal-control system. Therefore, a stable and direct internal thermal-control system is urgent to be developed for NAT. This study combined photo-thermal nanoparticles with LAMP technology, termed as photo- LAMP, which achieved a rapid semi-quantitative detection of Mycobacterium tuberculosis (MTB) bacteria nucleic acids. In this system, a set of six biotin-labeled primers was selected for targeting 16S rRNA gene of MTB bacteria, conjugated to the surface of photo-thermal nanoparticles through streptavidin-biotin interaction. Polypyrrole-modified iron oxide nanoparticles (i.e., photo- thermal nanoparticles) were utilized to be an internal heater for cell or bacteria lysis, maintained a suitable temperature for LAMP reaction and made fluorescent signal condense. Owing to magnetic properties of nanoparticles, the fluorescent intensity was enhanced by magnet. The results showed that photo-LAMP system was capable of semi-quantitatively detecting the targeted nucleic acids within 20 minutes and had lower limit of detection (LoD) than that of conventional PCR machine.

          Short Communication Pages: 7 - 7

          Sensor2Fog2Cloud2 Application Platform for Smart Implementations

          Rossitza Goleva

          Create a concept for open distributed cloud platform based on the Internet of Things, 5G and fog/cloud computing that uses standard interfaces Smart solutions have to be circular and in equilibrium.The platforms are heterogeneous and should be scaled. Soil and water are critical resources for the safety of life IoT and ICT could support it. Requirements to the Smart Management Platforms Stakeholders and end-users need Key Performance Indicators (KPIs) definition Legislation national, international, regional Raw data collection, what and how. Do we need all the data to be stored? Data sharing – open data, data privacy, data customization Security at all levels Services - proprietary, customised, common Possibility to integrate existing platforms at all levels digitization means analogue and digital measurements converted to digital raw data and supporting digital management services Methodology for Requirements. Analyses Communication infrastructure is expected to be: Open, Hierarchical in layers and planes based on standard interfaces and protocols, Encapsulating data, Dividing management from the control and monitoring features, Interoperable by means of data sharing through gateways at different layers, integrable through gateways at different layers, Heterogeneous by default, capable to define services based on the end-user and stakeholder needs, capable to be support short-term and long-term plans for standardization, customised for smart management systems because the implementations are different Methodology for Requirements’ Analyses In the cloud the platform should define Notion, positive and negative implementations, Features, Generic features, Abstraction, Interoperability, Classification, Feature dependencies.

          Special Issue on Cyber Security and Ethical Hacking (2020)

            Editorial Pages: 1 - 1

            2021 Conference Announcement on Cyber Security and Ethical Hacking and Its Applications

            Joe Hansard

            We are pleased to welcome you to the “International conference Announcement on Cyber Security and Ethical Hacking “after the successful completion of the series of Cyber Security Congress. The Conference is scheduled on November 18-19, 2021 Paris time zone. This Cyber Security 2021 Conference will provide you with an exemplary research experience and huge ideas. The perspective of the Cyber Security and Ethical Hacking Conference is to set up technology research to help people understand how Technology techniques have advanced and how the field has developed in recent years. Cyber Security s the state or process of protecting and recovering networks, devices and programs from any type of cyber-attack. Cyber-attacks are an evolving danger to organizations, employees and consumers. They may be designed to access or destroy sensitive data or extort money. They can, in effect, destroy businesses and damage your financial and personal lives — especially if you’re the victim of identity theft. A strong cyber security system has multiple layers of protection spread across computers, devices, networks and programs. But a strong cyber security system doesn’t rely solely on cyber defense technology; it also relies on people making smart cyber defense choices. Biometric identification has a growing role in our everyday security. Physical characteristics are relatively fixed and individualized — even in the case of twins. Each person’s unique biometric identity can be used to replace or at least augment password systems for computers, phones, and restricted access rooms and buildings. Once biometric data is obtained and mapped, it is then saved to be matched with future attempts at access. Most of the time, this data is encrypted and stored within the device or in a remote server. Biometrics scanners are hardware used to capture the biometric for verification of identity. These scans match against the saved database to approve or deny access to the system. The Cloud Security & Virtualization track includes sessions on the security aspects of using and leveraging cloud services, virtualization technologies/services, segmentation, deployment models, network function virtualization.

            Short Communication Pages: 2 - 2

            Free-space optic WDM bidirectional transmission: Design and Evaluation

            Shien-Kuei Peter Liaw

            In this talk, high-speed free space optics communication (FSO) technologies will be reviewed and introduced. We design and demonstrate two proposed FSO schemes. The first scheme is a bi-directional, short-range and free-space optical (FSO) communication with 2x4x10 Gb/s capacity in wavelength division multiplexing (WDM) channels for short-distance transmission. Compared to the backto- back link and uni-directional transmission system, the measured power penalties for bi-directional, four-channel WDM FSO communication are less than 0.8 dB and 0.2 dB, respectively. The second scheme is the hybrid optical fiber and FSO link for outdoor environment, such as cross bridge or inter-building system. In case that the bridge breaks, the transmission path can be switched from fiber link to FSO link to ensure the connectivity of data link. In both cases, the single-mode-fiber (SMF) components are used in the optical terminals for both optical transmission and receiving functions. The environmental and infrastructure factors including window glasses, air turbulence and rainfall that influence the case will also be addressed. The air turbulence induces extra transmission loss and instability in the received power. We found that raindrops are the most influential environmental factor. The bit error rate (BER) test shows that raindrops seriously increase the BER that may interrupt the transmission instantaneously. After appropriate performance improvement, the proposed transmission structures show potential applications for outdoor transmission under various natural weather conditions.

            Short Communication Pages: 3 - 3

            Information Security Risks, Vulnerabilities and Threats in IR 5.0.???

            Rabiah Ahmad

            Recent information technologies are able to facilitate the transformation of traditional administrative processes to services which can be performed online. The rapid growth of ICT is proved to be aligned with its application for the 4th Industry Revolution. Today, information security has become a vital entity to most organizations due to current trends in information transfer through a borderless and vulnerable world. The concern and interest in information security is mainly due to the fact that information security risk analysis (ISRA) is seen as a focal method not only to identify and prioritize information assets but also to identify and monitor the specific threats that an organization induces; especially the chances of these threats occurring and their impact on the respective businesses. Thus, a total of 18 years research in Information Security was conducted, and their findings were gathered and analysed meticulously. Most of the researches were particularly focusing in exploring the various aspect of security threats and its countermeasure through empirical researches, tool development, systematic literature review and dynamic analysis impacted from theoretical knowledge development to its implementation growth in Organization. Our reviews suggested that risks analysis demand critical and deep research to make sure they are able to introduce effective security counter measure. Our research focused on critical information infrastructure such as Healthcare, Power System and Manufacturing. One of the study, we applied empirical study to categorize threats and calculate risks for Healthcare system. In addition to that we developed tool using Machine Learning to explore various type of risks categories using the same dataset.

            Short Communication Pages: 4 - 4

            Advances in Silicon photonics Technologies and Fiber optics Applications

            G. de Valicourt

            The field of silicon photonics is rapidly expanding, similarly to electronics in the 1970s, and much of the knowledge of this mature platform is applicable to photonics. As in electronics, the need for reduced footprint and cost as well as large-scale production pushed for higher levels of integration in photonic devices. In this paper, we will focus on fiber optic communication applications for this technology. On one side, coherent technologies have spurred a revolution in optical core networks and are expected to conquer a large market share in metropolitan and inter-datacenter networks in the very near future; however, these segments are particularly sensitive to cost, and therefore to footprint and power consumption, while still requiring high transmission performance. In order to contain cost, several chips can be co-packaged in the optoelectronic transmitter. For example, in [1], co-packaged laser and modulator chips produced optical data at 32 GBaud; however, monolithic integration is expected to provide even greater cost savings than co-packaging. In fact, novel integrated transceivers have been recently proposed and are being commercially deployed [2]. On the other side, on-chip optical interconnects require extremely low power and compact optical devices, which can be integrated closely with integrated circuits (ICs). Emerging silicon photonics technology has demonstrated low-power optical devices [3] that can operate in combination with energy-efficient CMOS drivers and amplifiers.

            Short Communication Pages: 5 - 5

            Hybrid Ring /Linear Cavity Fiber Laser Operating at 1064 nm Band for Sensing

            Shien-Kuei Liaw

            Laser sources with wavelengths at around 1064 nm have many practical applications and are widely used in materials processing, display technology, biomedical engineering, and remote sensing applications [1]. The 1064 nm laser also has other applications in frequency doubling, optical coherence tomography, micromachining, optical wireless, time-resolved spectrum, etc. In the application of display technology, it is an excellent excitation source for nonlinear optics and biomedical engineering as the biological sample is usually composed of water. Lightwave at 1064 nm band is not absorbed by water or oxygen inside the tissue. Hemoglobin, deoxyhemoglobin or melanin absorption can reduce the damage of biological samples [2], and the Raman light source near the 1064 nm is an ideal light source for medical detection [3]. Semiconductor optical amplifier based hybrid ring cavity/linear cavity fiber laser can also be used as optical sensing source. Compared with conventional sensors, fiber sensors present several advantages, including high sensitivity, great mechanical stability, electromagnetic interference immunity, low cost, compactness, and easy maintenance. The proposed 1064 nm SOA based fiber laser can also play as a sensor. In a fiber-laser-based FBG sensing system, the laser cavity forms part of the FBG sensor. Therefore, the changes in the FBG physical condition can be detected directly via the laser spectrum. The dynamic range of the fiber laser sensor is equivalent to the cavity length.

            Short Communication Pages: 6 - 6

            Efficacy of Machine Learning in Analyzing Amino Acids & Minerals Using Fourier Transform Infrared Spectroscopy

            Yuriy Markushin

            Infrared spectroscopy provides chemical information pertinent to several Mars biological questions. Life as we know it is composed of carbon-containing building blocks, organic molecules. This study was conducted to classify and predict varying concentrations of amino acids and rock using machine learning techniques. The selection of instruments for landing on Mars poses particular challenges. Instruments must withstand launch, vacuum space conditions and landing in the extreme environment. Fourier-transform infrared spectroscopy (FTIR), an analytical technique, meets the challenges and is broadly used to identify organic materials. In this study, several concentrations of L-stereoisomer serine and rock were pulverized and measured using FTIR to obtain a spectrum of absorption. Each sample was measured in 5 sets then averaged to exclude errors. Using the R software environment, we performed Principal Component Analysis (PCA), a machine learning method for dimensionality reduction, to better visualize the story or data told. Preliminary results of our investigation indicate a separation of amino acid/rock mixture and pure rock at our sample concentrations 0.001g and 0.0001g. Further study includes measuring the separation of amino acid/rock mixture and pure rock at the parts per million level, improving on our analysis techniques and developing a method to detect signatures of life in Martian rocks.

            Special Issue on Artificial Intelligence, IoT and Robotics (2020)

              Editorial Pages: 1 - 1

              2021 Conference Announcement on Artificial Intelligence, IoT and Robotic

              Leonor Furtado

              We are pleased to welcome you to the “Conference Announcement on Artificial Intelligence, IoT and Robotics “ after the successful completion of the series of Artificial Intelligence Congress. The International conference is scheduled on November 19-20, 2021 Paris time zone. This Artificial Intelligence 2021 conference will provide you with an exemplary research experience and huge ideas. The perspective of the Artificial Intelligence 2021 conference is to set up technology research to help people understand how Technology techniques have advanced and how the field has developed in recent years. Machine learning is an application of Artificial Intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves. Deep learning is an artificial intelligence (AI) function that imitates the workings of the human brain in processing data and creating patterns for use in decision making. Deep learning is a subset of machine learning in Artificial Intelligence that has networks capable of learning unsupervised from data that is unstructured or unlabelled. Robotics is an interdisciplinary research area at the interface of computer science and engineering. Robotics involves design, construction, operation, and use of robots. The goal of robotics is to design intelligent machines that can help and assist humans in their day-to-day lives and keep everyone safe. The Internet of Things (IoT) describes the network of physical objects—“things”—that are embedded with sensors, software, and other technologies for the purpose of connecting and exchanging data with other devices and systems over the internet. These devices range from ordinary household objects to sophisticated industrial tools. Natural language processing (NLP) is a subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language, in particular how to program computers to process and analyse large amounts of natural language data. In Artificial Intelligence, an expert system is a computer system that emulates the decision-making ability of a human expert. Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if–then rules rather than through conventional procedural code.

              Short Communication Pages: 2 - 2

              Workflow of Artificial Intelligence: The Relationship between Speed and Accuracy

              Patrick Bangert

              Abstract: The workflow of artificial intelligence projects begins with cleaning and labeling data. It proceeds over feature engineering, model selection, and hyper-parameter tuning to finally get to the training of the model. Once the model is ready, it can be used at inference to solve the original task. Each one of these major steps in the workflow can be assisted by tools that make that step either easier, faster or better than the, largely manual, process of today. Data labeling is augmented by Semi-automatic labeling methods. Feature engineering can be automated by creating synthetic features on the fly. Model selection and hyper-parameter tuning are essentially search problems that can also be automated. These possibilities will be illustrated and the common denominator discussed: All of these tools assume that the training of the model is fast. That can be accomplished by training the model on many computers simultaneously – distributed training. We illustrate the saving of time and the improvement of model accuracy in various domains such as natural-language-processing and image classification and segmentation Biography: Patrick is the Vice-President of Artificial Intelligence at Samsung SDSA where he heads the AI Engineering and AI Sciences teams. He is responsible for Brightics AI Accelerator, a distributed ML training and automated ML product that is also included in the Brightics AI platform. He is responsible for X.insights, a data center intelligence platform. Among his other responsibilities is to act as a visionary for the future of AI at Samsung. Before joining Samsung, Patrick spent 15 years as CEO at Algorithmica Technologies, a machine learning Software Company serving the chemicals and oil and gas industries. Prior to that, he was assistant professor of applied mathematics at Jacobs University in Germany, as well as a researcher at Los Alamos National Laboratory and NASA’s Jet Propulsion Laboratory. Patrick obtained his machine learning PhD in mathematics and his Masters in theoretical physics from University College London. A German native, Patrick grew up in Malaysia and the Philippines, and later lived in the UK, Austria, Nepal and USA. He has done business in many countries and believes that AI must serve humanity beyond mere automation of routine tasks. An avid reader of books, Patrick lives in the San Francisco Bay Area with his wife and two children. realization of Sigma Delta Radio over Fiber System. Dr Hadi is a Member IEEE, IEEE Photonics Society and IEEE Communications Society. He serves as a reviewer for IET Optoelectronics, IEEE Communications Letters and ASTES. Publication of speakers: 1. Bangert, Patrick. (2012). Optimization for Industrial Problems. 10.1007/978-3-642-24974-7. 2. Bangert, Patrick. (2012). Statistical Analysis in Solution Space. 10.1007/978-3-642-24974-7_2. 3. Bangert, Patrick. (2012). Overview of Heuristic Optimization. 10.1007/978-3-642-24974-7_1. 4. Bangert, Patrick & Jörg-A, C.. (2011). Increase of overall combined-heat-and-power efficiency through mathematical modelling. 91. 55-57.

              Short Communication Pages: 3 - 3

              The Effect of Thermal and Mechanical Properties of the Metals on the Laser Tube Bending Process

              Khalil Ibraheem Imhan

              The laser tube bending process is affected by many factors including the metal properties which consider as a crucial parameter. Moreover, the absorption and diffusion of the laser energy inside the metal bulk depend on the thermal and mechanical properties of the material. Numerous studies have been conducted to evaluate each parameter of the material properties factor. In this paper, an analytical examination has been employed to study the impact of different material specifications by using the Matlab package. The thermal expansion coefficient is directly proportional to the bending angle while the specific heat and the density are inversely proportional to the bending angle. furthermore, Aluminium had the highest bending angle in most tested conditions, the Stainless Steel 304 came next.

              Short Communication Pages: 4 - 4

              Optical Wireless Communication WDM transmission: Design and Evaluation

              Shien-Kuei Liaw

              In this speech, high-speed optical wireless communication (OWC) technologies in C band (1550 nm) will be briefly addressed. Firstly, two proposed OWC schemes will be implemented and demonstrated. The transmission structures are multiple wavelengths, bi-directional transmission with 10Gb/s modulation for each channel. Compared results including back-to-back or uni-directional transmission will be provided. In free space transmission, some important issues such as temperature gradient, laser misalignment, laser beam divergent and cloudy/rainy condition to system performance will be analyzed. The experimental results of bit error rate (BER) performance will be addressed. Then, we evaluate the system performances between optical fiber transmission and optical wireless transmission in an outdoor bridge before and after it is broken. We find that negligible power penalty is induced for OWC case. A summary will be given to conclude that OWC is a good backup candidate for fiber-based communication.

              Short Communication Pages: 5 - 5

              Experimental Characterization of Sigma Delta Radio over Fiber System for 5G CRAN Downlink

              Muhammad Usman Hadi

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              Short Communication Pages: 6 - 6

              National AI Capital ??? Global Initial Survey

              Aco Momcilovic

              What are the biggest differences between countries and individuals that we talk about? How could AI development influence those differences in the future? What is National AI Capital as a concept? Proposal how to measure NAIC. Is it important and what experts think about NAIC, and how much time do we have to react? Discussion about priority areas of AI investments and different stakeholders.

              Short Communication Pages: 7 - 7

              Linear regression Algorithm

              Mahmoud Magdy

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              Volume 9, Issue 3 (2020)

                Editorial Pages: 1 - 1

                Conference Announcement on Artificial Intelligence 2021


                We are pleased to welcome you to the “2nd International Conference on Automation and Artificial Intelligence” after the successful completion of the series of Artificial Intelligence 2020. The congress is scheduled to take place in the beautiful city of London, UK, on June 15-16, 2021. This Artificial Intelligence 2021 conference will provide you with an exemplary research experience and huge ideas. The perspective of the Artificial Intelligence Conference is to set up transplant research to help people understand how treatment techniques have advanced and how the field has developed in recent years. Conferenceseries proffers our immense pleasure and honour in extending you a warm invitation to attend Artificial Intelligence 2021 on June 15-16, 2021 in London, UK. It is focusing on “Innovations and Advancements in Automation and Artificial Intelligence”, to enhance and explore knowledge among Artificial Intelligence community and to establish corporations and exchanging ideas. Providing the right stage to present stimulating Keynote talks, Plenary sessions, Discussion Panels, B2B Meetings, Poster symposia, Video Presentations and Workshop Artificial Intelligence anticipates over 200 participants around the globe with path breaking subjects, discussions and presentations. This will be a splendid feasibility for the researchers, delegates and the students from Global Universities and Institutes to interact with the world class scientists, speakers, Analyst, practitioners and Industry Professionals. Conference Series invites all the experts and researchers from the Automation and Artificial Intelligence sector all over the world to attend “International Conference on Automation and Artificial Intelligence (Artificial Intelligence 2021) which is going to be held on June 15-16, 2021 in London, UK. Artificial Intelligence 2021 conference includes Keynote presentations, Oral talks, Poster Presentations, Workshops, and Exhibitors. Artificial Intelligence is a region of software engineering that emphasises the production of intelligent machines that work and respond like people. Artificial Intelligence is expert in studying how human brain thinks, learn, decide, and work while trying to solve a problem, and then using the products of this study as a source of increasing smart software and systems. In the real life, the knowledge has some undesirable properties. In the modern world, Artificial Intelligence can be used in many ways to control robots, Sensors, actuators etc., An Automation system is a system that controls and displays building organisation. These systems can be established in a few typical ways. In this segment, a general construction frame work for a structure with complex requirements due to the action such as a consulting room will be described. Actual scheme frequently have some of the features and components described here but not all of them. The Automation level consists of all progressive controls that regulate the field level devices in actual time. Online transaction is broadly utilized nowadays. This is one of the best example of Automation. In online shopping the imbursement and checkout are through online conversation system. The most other engineering majors work with Artificial Intelligence, but the heart of Artificial Intelligence is Automation and Automation Engineering across all the disciples. Artificial Intelligence 2021 conference is also comprised of Best Post Awards, Best Oral Presentation Awards, Young Researchers Forums (YRF) and also Video Presentation by experts. We are glad to welcome you all to join and register for the “International Conference on Automation and Artificial Intelligence” which is going to be held during June 15-16, 2021 at London, UK. Our Mission: • To provide the best platform were various ideas can be shared and information can be discussed. • To conduct conferences annually in each and every field of life science in various parts of the world to target maximum audiences. • To conduct outstanding events with our hard work. • To create some value worldwide.

                Value Added Abstracts Pages: 2 - 2

                Bitcoin is the Future of Money (Blockchain is the Future of Humanity)

                Chris Dos Santos

                Blockchains  are  a  relative  new  concept  that  started  out  when  Bitcoin  and  the  original Whitepaper  came  out,  in  fact,  Satoshi  Nakamoto’s  Whitepaper  didn’t  even  mention  the  word Blockchain, so how did this even became a thing?

                Blockchains are (most of them) ledgers that distribute data usually in a decentralised and public  form,  that  means  that  once  the  information  is  registered,  theoretically  it  cannot  be manipulated  or  altered  which  makes  a  great  use  for  data  management  such  as  logistics,  health records, and of course Money!

                Bitcoin is not only the first Blockchain created, it was the first use of this technology and the first  successful  implementation.  Now  governments,  companies,  and  regular  people  from  any country, social class or economic background can access financial services that are not tied up to a government or backed by a commodity.

                Bitcoin is not owned by anything or anybody which makes it a perfect tool for economic autonomy and the separation of governments and money. Blockchains will record and storage the world’s data so we can finally move to a digital world.

                Short Communication Pages: 3 - 3

                High precision automatic mask-wafer aligner using moire sensing technology

                Brahm Pal Singh

                With the tremendous increase in complexity of integrated circuits having many multifunctional devices on the same board, rapidly shrink the interconnection line width to sub micro meter dimensions levels. The reduced device size can result in the reduced intrinsic switching time, the reduced power consumption as well as the reduced device cost. The devices dramatic miniaturization depends on novel lithographic processes and a high accuracy in mask-wafer alignment technique. Moire signal sensing technology can provide ultrahigh alignment accuracy up to less than +/- 50 nm. To achieve high accuracy in mask-wafer alignment, it required initial alignment to be done with the help of microscopes to bring the mask-wafer alignment grating pitch marks within the moire signal capture range. We have proposed two steps with coarse and fine mask-wafer alignment to make the process automatic without a microscope. When a laser beam is passed through a pair of identical gratings, of say 25 nm pitch, a relative displacement in their position gives a highly periodic signal called “moire” signal. This moire signal is suitably amplified, processed and digitalized to find out the maximum and the minimum values of the moire signal to compute its inverted moire signal Iinv and their difference error signal Idiff using Iinv = A + B – I and Idiff = Iinv – I = (A + B) – 2I, where A, B, and I are maximum, minimum and instantaneous digital values of the moire signal. A novel method was developed to align mask and wafer with placement accuracy estimated to be +/- 40 nm to achieve automatic alignment accuracy to be better than +/- 50 nm. Figure 1 and figure 2 show a setup for feasibility experiments with moire signals and digitalized moire signals with alignment marks, respectively.

                Short Communication Pages: 4 - 4

                The flexibility of hybrid load transfer assemblies: Influence of tightening pre-stress

                Jose Andriamampianina

                The flexibility of bolted assemblies of thin parts is a significant parameter, especially in calculating the load distribution between the various fasteners in an assembly. This characteristic is poorly understood in the case of assemblies that are working both in plastic deformation- shearing and friction. The present study firstly focuses on flexibility of an assembly working only by friction. It highlights the influence of pre-stressing and the coefficient of friction on flexibility as also on hysteresis and assesses the influence of the assembled parts’ geometrical characteristics. The study then goes on to consider a hybrid load transfer assembly. Simulations performed using ABAQUS software provided insight as to how the joint behaves in relation to the pre-stress applied. The results are compared to the case of an assembly working without pre-stress. Using these simulations, a model for determination is proposed. This allows the apparent flexibility of the fastener to be calculated, dissociating the case of apparent flexibility on the first loading cycle needed to calculate the load transfer from the apparent flexibility of the following loading cycles. The formulations proposed thus allow the behaviour of a hybrid load transfer fastener to be characterised in relation to the transferred load FT and a dimensionless parameter characterising the latter’s global behaviour (adhesion or slipping).

                Research Article Pages: 5 - 11

                Smart cell selection method for Femtocell Networks

                Indrajit Kumar Paul*, Mitali Halder


                 In a femtocell network , which is configured as open access, a user from a neighboring cell preferably from a different type of cell eg.(Macro, Pico or micro cell), can make handover to the femtocell network through handover for better coverage and enhance there channel capabilities for better user experience. To avoid any disruption of service for users, which can happen because of ping-pong HO ( handover) it is mandatory to have a effective cell selection method should be in place. In Traditional approach this cell selection method uses RSSI /RSRP value obtained by measurement report, cell load, channel quality etc. to make decision for cell selection for HO. However problem with traditional based approach is that present measured performance does not necessarily reflect the future performance, thus the need for some kind of smart cell selection that can predict the horizon. Subsequently, we present in this paper a reinforcement learning (RL), i.e Q-learning algorithm, as a generic solution for the cell selection problem in a femtocell network.

                Research Article Pages: 11 - 16

                Performance Evaluation of Energy Efficiency and Spectral Efficiency: NOMA vs OFDMA

                Aakarsh Dhariwal

                Non-orthogonal multiple access (NOMA) has emerged as a promising technique to satiate the fifth-generation (5G) requirements like high spectral efficiency, energy efficiency, increased throughput, and optimized sub-channel utilization over the previously deployed orthogonal multiple access (OMA). In this paper, we employ a low-complexity fractional power allocation algorithm to allocate to each user in the Base Stations transmitting area. In this paper, we aim to explore energy efficiency versus spectral efficiency trade-off with the average signal to noise ratio by employing the superposition method to effectively utilize the sub-channel with Successive Interference Cancellation in the downlink case at the receiver end to achieve the expected simulations results. Furthermore, we have also studied the effect on spectral and energy efficiency with an increased number of users in the cellular area. Finally, we have presented simulation results to corroborate our proposed results where SE increases when we increase transmission power and signal to noise ratio.

                Special Issue on Wireless and Artificial Intelligence (2020)

                  Editorial Pages: 1 - 1

                  Market Analysis on Artificial Intelligence 2021

                  Nancy Leo

                  “Artificial Intelligence market to Grow at a Staggering 75% CAGR until 2021: TechSci Research Report

                  Rising Venture Capital Investments Coupled with Increasing R&D Activities in Autonomous Vehicles market to Drive Artificial Intelligence market in US Through 2021 According to TechSci Research report, "United States Artificial Intelligence market, By Application, By Region, By End User Competition Forecast & Opportunities, 2011-2021", the Artificial Intelligence market in the US is projected to grow at a CAGR of 75% during 2016 - 2021 on account of growing Artificial Intelligence technology adoption in consumer electronic devices, research and developmental activities in healthcare industry, unmanned aerial vehicles, autonomous cars, etc.

                  This research evaluates enterprise Robotics in the United States including companies, technologies, and solutions across industry verticals and applications. The report includes forecasts by industry vertical/application for 2017 through 2021. Leading industry verticals are beginning to see improved operational efficiency through the introduction of Robotics and Artificial Intelligence (AI). Robotics investment in many industries represents a substantial capital expenditure with the potential to dramatically reduce operational expenses through resource optimization, quality improvement, and waste reduction. Robotics in business will accelerate as less expensive hardware and improvements in AI lead to improved cost structures and increased integration with enterprise software systems respectively. The massive amount of data generated by Robotics will create opportunities for data analytics and AI-enabled decision support systems. Emerging areas for enterprise Robotics include Robotics as a Service, Cloud Robotics, and General-Purpose Robotics. Artificial Intelligence is the machines which are designed and programmed in such a manner that they and think and act like a human. Artificial Intelligence becomes the important part of our dAIly life. Our life is changed by AI because this technology is used in a wide area of day to day services. These technologies reduce human effort. Now in many industries, people are using this technology to develop machine slaves to perform the different activity. Using the machine for the work speed up your process of doing work and give you an accurate result. It is very likely that areas in which the universal intelligence of the human level is not needed will reach maturity and produce reliable high-quality products in the next decade. Efforts to improve quality and expand boundaries for text and video understanding systems, and to give home robots greater reliability and overall utility, will lead to systems of common sense linking learning and action together in all these modalities. Especially given the massive growth of machine-readable data on human activities and the need for machines that understand human values if such machines are reliable and useful. Public and private sources of knowledge will become part of society. If earlier AI developers were trying to create a machine that could perform tasks independently, at the moment the situation has changed and the goal that is put before Artificial Intelligence is to help a person in various matters. Thanks to the modern approach, Artificial Intelligence starts to simplify and improve various
                  processes; another promising scope is the prediction and even some manipulation of human behaviour in advertising systems. You can expect an increase in the quality of the work of search engines and machine translation. This will be possible due to the fact that the computer will begin to understand and analyse the meaning of the text.

                  Our Mission
                  • To provide the best platform were various ideas can be shared and information can be discussed.
                  • To conduct conferences annually in each and every field of life science in various parts of the world to target maximum audiences.
                  • To conduct outstanding events with our hard work.
                  • To create some value worldwide.


                  Opinion Article Pages: 2 - 2

                  Why to change the leadership of ailing organizations

                  Abdul Aziz Khan

                  It has been a general practice for mature organizations to continually change the main leadership to maintain a growth trend. This leadership change at the highest level is not recommended in all situations. In contrast to it, a lot of organizations have delivered astonishing results without changing the CEO for a very longer period.
                  So, which of the policy is workable, and in what situations? Let us delve into it.

                  Research Pages: 3 - 5

                  The most important tool humanity has conceived

                  Kelvin Ogba Dafiaghor

                  Artificial Intelligence is the development of computer systems to be able to perform task normally requiring human intelligence. Examples are visual perception, speech recognition, decision-making and translation between languages e.t.c. Artificial intelligence is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. Artificial intelligence is the technology that drives most modern technology from self driving cars to even our snap chart filter. Artificial intelligence as the best tool to solve global poverty. Artificial intelligence can be used to bridge the gap between the have and the have not between the develop and the underdeveloped world. The purpose of this study is to present a systematic view why Humans need to embrace fully Artificial Intelligence, the importance and various applications of Artificial Intelligence, How Artificial Intelligence is better than all inventions before it, the role of Artificial Intelligence in fighting the COVID 19 pandemic, the need for Ethical Artificial Intelligence. This study identifies where humans have gotten to in terms of narrow or strong Artificial Intelligence. Having carried out inquiries on the fears of humans accepting the full possibilities of Artificial Intelligence, this study answers two important questions firstly, will Artificial Intelligence bring about the end of the human race? Secondly, the loss of human resources in the labour market as a result of more smarter, efficient Artificial Intelligence. It is hoped this study will inform humans on why Artificial Intelligence is the single most important tool humanity has conceived.

                  Short Communication Pages: 6 - 6

                  Divergence controlled ultrasonic transmitter array for a 3-dimensional long range imaging system in air

                  Sahdev Kumar

                  Ultrasonic sensing techniques are widely used in the various scientific ultrasonic instruments using sophisticated software for various non-destructive industrial and medical applications, owing to its propagation in all kinds of medium including solids, liquids and gases except vacuum. There are many applications using ultrasonic sound in air, such as distance measurement and range imaging etc. at low cost. However, the main disadvantage is its short measurable range due to the large absorption of the ultrasonic sound in air. Another disadvantage is its bigger size. It consists of an array receiver and due to the large inter- element spacing, grating lobes appears that creates ghost images of the object. Therefore, it was the main difficulty to make it a practical product. However, because of a recent progress of Micro Electro Mechanical Systems (MEMS) technologies, it became possible to make a very small microphone array with many elements in a very small area. To extend the measurable range, some approaches were reported such as; high power sound source using spark discharge, using large scale transmitter elements and improving the signal to noise ratio (SNR) through pulse compression technique etc. In this paper, I have proposed a usage of high power ultrasonic phased array transmitter and ultrasonic array receiver using MEMS microphones for a long- range ultrasonic imaging system. The characteristics of the transmitter on the number of elements, modulated pulse width, etc. are investigated theoretically as well as experimentally. An ultrasonic array transmitter consisting of 144 (12 × 12) elements is constructed. It is controlled by four FPGAs and approximately

                  30 dB higher sound pressure level has been obtained than that of the single transmitter. The positions of the object are measured by delay-and-sum operations on the reflected received signal. The performance of the imaging system is compared with the system using a single transmitter. The improved 3D measurement field of an object by controlling the divergence of the ultrasonic transmitting array to improve the view angle of the system is shown. In isotropic divergence controlled system, the applied divergence is equal in both; x and y planes. In some applications a wide horizontal and narrow vertical measuring field is required. Therefore, I proposed an anisotropic divergence control system in which horizontal and the vertical divergence angles can be controlled independently. I described the principle of the anisotropic divergence control of the PAT and confirm it by numerical simulations. The anisotropic divergence of the transmitter was successfully controlled. Although, the sound pressure when the divergence was controlled 20o × 5o was about 6 dB lower than that of the PAT in phase and, 10 dB higher than the isotropic divergence controlled system and 26 dB higher than the single transmitter. The measurable range of the system with anisotropic divergence control has been improved over the isotropic divergence control by >2 m. The developed system can accurately detect the object while locating it at different positions. The maximum measurable range is > 25 m without any divergence. The developed system is useful in natural interferences e.g., smoke, fog, darkness etc. to make it a unique and novel ultrasonic long range imaging and the measurement system.

                  Short Communication Pages: 7 - 7

                  Development of the laser-induced water bubble actuator

                  Shigeru Omori

                  Aiming to realize the newly actuator without any electric cable, the use of laser-induced water vaper bubble has been proposed and performed the principle confirmation experiment. The laser induced water bubble has been applied for the liquid jet therapeutic catheter in medical field. The liquid jet system use physiologic saline for the liquid and a Ho: YAG laser of 2.1μm wavelength that has highly absorption of water. Instead of this combination, we propose the use of carbon powder suspension for working liquid and an infrared Laser Diode (LD) of 970nm wavelength. As the 970nm LD light is not absorbed by water but carbon, the water of the working liquid could be vaporized by heated carbon. LD is considered as a suitable laser source for the actuator in the viewpoint of output controllability by the drive-current modulation. Figure 1 shows the conceptual image of the laser-induced water bubble actuator. It is constructed with a 970nm LD, an optical fiber and an actuator unit with working liquid for producing bubble. An optical fiber connector (SMA connector) has been used for the bubble generator unit in our principle confirmation experiment. We use the inlet space for inserting and fixing fiber cable as the actuator cylinder. The working liquid was prepared by suspending carbon powder of 20μm particle size in water with surface active agent. After the working liquid has been injected in the cylinder, a stainless steel rod of Φ2.3mm diameter and 30mm length inserted as the actuator piston. When the laser irradiation was performed at the LD power of 160-180W and the pulse duration of 2msec, the reciprocating motions of the stainless steel rod have been observed. For the next step, we are planning to evaluate the operating characteristic and also try to maximize the generating force. This work was supported by JSPS KAKENHI Grant Number JP16K12914.

                  Short Communication Pages: 8 - 8

                  High power terahertz radiation emitter and terahertz imaging technology

                  Brahm Pal Singh

                   Terahertz (THz) radiations lie in electromagnetic spectrum gap between the infra-red and the microwave frequencies from 0.10 THz to 30 THz. In last few decades, generation and detection of THz radiations has attracted considerable interest not only in technological applications for THz imaging but also as a tool to investigate fundamental properties of materials by using time domain THz spectroscopy. Other applications too include information technology, biomedical sciences, non-destructive evaluation, security, quality control of foods beverage and medicines, environment monitoring and ultrafast computing etc. Much effort has been made to increase the generated terahertz radiation power. Among various methods, generation of THz radiation with the biased photoconductive switch (PCS), play very important role owing to its simple configuration and power controllability by bias and geometrical scaling. The low temperature (LT) grown GaAs PCS is most commonly used due to its sub picosecond lifetime and high mobility. Though, the THz generation efficiency is limited by its low breakdown field of about 5 x 105 V/cm. Thus, wide band gap materials with high breakdown electric fields are attractive for high power THz radiation, e.g., GaN with breakdown voltage 3.3 x 106 V/cm having high saturation velocity 2.5 x 107 V/cm and high thermal conductivity 1.3 W/cm K. Thus we investigate the most straight forward electromagnetic radiation from a GaN based large aperture LA-PCS. A carbon doped epitaxial layer was used for active region to realize high resistivity to stand high bias voltage. THz pulses of 93.3 pJ/pulse energy was estimated at 500 V bias on excitation with 120 fs laser pulses of 266 nm wavelength with device structure as shown in fig.1. Figure 2 depicts the experimental setup with typical THz pulses and THz spectrum generated by LA GaN-PCS and measured with TDS detection.

                  Special Issue on Cloud Computing (2020)

                    Value Added Abstracts Pages: 1 - 1

                    Framework of Database Auditing: Steps to Ensure Security and Reliability

                    Bernard Igoche

                    In this paper, we present a framework of database auditing by ensuring the security and reliability of database activities through analyzing network traffic, execute audit analysis through event correlation and generate alarms if an anomaly or a violation of security regulations is detected. This area encompasses a huge range of application problems ranging from who can gain access, when access was achieved and what operation was performed. Despite these trends in technology, there is an increasing number of database hacking occurrences and sensitive data loss. Database auditing can help strengthen the security of database. It is therefore imperative to say that security is enhanced and complimented with the use of auditing. There is no security without auditing, therefore security and auditing should be implemented in an integrated fashion. 

                    Value Added Abstracts Pages: 2 - 2

                    The Illiterate of the 21st century: Are you prepared for the future, or will you lose your job? A discuss about IA, Automation and Education.

                    Jefferson Ribeiro

                    On Future Shock (1970) Alvin Toffler said: “The illiterate of the 21st century will not be those who cannot read and write, but those who cannot learn, unlearn and relearn.”. Homo sapiens (wise man in Latin) would have appeared in Africa about 200,000 years ago. From 1760 to 1860, we had the first industrial revolution here in England, in the fabric industries. The second stage took place from 1860 to 1900 but has already involved countries such as Germany, France, Russia and Italy. Some historians have regarded the technological advances of the twentieth and twenty-first centuries as the third stage of the Industrial Revolution. The computer, the fax, the genetic engineering, the cell phone would be some of the innovations of this era. Today we are living the fourth stage of this revolution, with Automation and Artificial Intelligence. According to studies from the University of Oxford, in the next 25-30 years, the unemployment rate in the United Kingdom could reach 35%, in the USA 47%, in Brazil approximately 57% and in intensely industrialised countries like China (77%) and Ethiopia (85%), the number is higher. Stopping Automation and Artificial Intelligence is not a viable option, as it generates savings for organisations and, consequently, more wealth for countries. We cannot stop our society from evolving, but what is the real cost of Automation and Artificial Intelligence for humanity? Are we prepared for the future? We have two certainties: the first is that we don’t know what kind the jobs of the future will be, 65% of our children will work on jobs there isn’t yet. The second is that with Automation and Artificial Intelligence, we will have more time to be human again, skills like originality and social intelligence are difficult features to automate. How we can prepare us for the future? Enabled the life-long learning, a changing world of work means that learning new skills will need to be a continual part of each employee’s lives.  Which skills I need to improve? Pearson published The Future of Skills: Employment in 2030, in collaboration with Nesta and Oxford Martin. By combining a wider understanding 
                    of the trends that impact the future of work with expert human judgment and machine learning, a clearer understanding emerged of the skills more likely to be future-proof skills. The World Economic Forum given us the report with the 10 Skills you’ll need to survive the rise of automation. We need to change how we’re learning and how the teachers are teaching. Technology and education are the keys to help us to improve these new skills for the future and keep our society in economic life-balance.

                    Value Added Abstracts Pages: 3 - 3

                    Enabling inclusion and citizenship with Cloud Computing Technologies, Cognitive Chatbots and Artificial Intelligence

                    Lucio Adolfo Meurer

                    The state of São Paulo is the most populous in Brazil, with 46 million inhabitants and generating one third of the total wealth produced in the country. Among the services provided to the population by the State Government, the issuance and renewal of documents of Identity and Driver License are the most required. Given the number of citizens who require them every day, scheduling interviews for issuing and renewing these documents is a considerable logistical challenge. The Government has a network of Citizen Service Centers where these documents are issued, and over the past few years, the need to automate and ensure prerequisite compliance at the first interview has become a major goal for the government. To address this situation, a chatbot-automated attendance system, delivered through cloud technologies, based on cognitive services has been developed, allowing citizens not only to schedule interview for document issuance but also to ensure that all required fees and certificates are met. This chatbot system showed a historic record of 505,372 interviews scheduled in a single day. The system in question allowed over 90% of assertiveness, preventing a second interview from being necessary due to lack of information or absence of required certificates. Considering that the lower income population in the

                    state needs to take about four bus or train reides to attend interview, the assertiveness and guarantee of having your document issued in the first interview is no longer just an indicator of government effectiveness but, an inclusion factor for all sections of population.

                    Value Added Abstracts Pages: 4 - 4


                    Mohammad ShuaibKhan

                    TThe research work which is presented here is basically an effort which is being made to analyze the significance of knowledge reuse in an academic environment. To achieve the object we will have to appreciate the role of knowledge sharing and the knowledge management as well as the best utilization of reusable tacit and explicit knowledge. Issues of knowledge quality and reusability in contemporary age have also been analyzed. For comprehend the above undertakings in greater details by applying the management of knowledge, we present discussion on the software reusability and its academic applications in an academic environment

                    Value Added Abstracts Pages: 5 - 5

                    BRA2Cloud ??? A Brand new Resilient Agent-based Architecture to Cloud Computing

                    José Pergentino de Araujo Neto

                    Cloud data centers, realizing that the amount of unused resources is significant, have started offering them as transient resources with unpredictable, irreversible revocation. The use of transient resources indicates many relevant issues still pose critical challenges, including security, strong and reliable connectivity and fault-tolerance approaches. To effectively use transient cloud servers to fulfill user requests, it is necessary to define an appropriate fault-tolerant mechanism and its respective parameters to avoid data loss if an unexpected failure occurs. We present an agent-based framework, namely BRA2Cloud, for integrating bag-of-tasks enabled systems using unreliable transient resources. To guarantee application execution and better use of idle resources, it is necessary to create an execution plan through fault tolerance definitions to increase reliability. To do this, BRA2Cloud agents combine features to predict failures in a multi-agent architecture that dynamically creates fault-tolerant multi-strategies, considering the current availability scenario and providing a resilient environment according to users’ application needs. Our approach was validated using real data retrieved between 2017 and 2019 from Amazon Spot Instances. Exhaustive experiments achieved high accuracy levels, reaching a 91% survival prediction success rate, which indicates the model is effective under realistic working conditions. We consider the results promising, decreasing up to 74.48% in total execution time when compared to other approaches in the literature. As the main requirements of our proposal, we have defined a series of features that BRA2Cloud should have in order to address the impact of these definitions on resiliency provision, application execution time reduction, and monetary cost reduction.

                    Value Added Abstracts Pages: 6 - 6

                    TCO and performance optimization for large scale public and Hybrid cloud environment.

                    Prashant Mishra

                    Saving money and to increase the performance is one of the main reasons for moving workloads to the cloud. With the Click2Cloud multi cloud management platform, the cloud infrastructure can reduce total cost of ownership (TCO) as compared to on-premise infrastructure. Cloud brain helps to choose the best hybrid cloud solution that involves careful consideration of how each cloud implementation option would meet the needs of the overall organization and its specific workloads. A hybrid cloud approach offers the best path to the cloud, and a way to optimize your existing assets offers the best path to the cloud, and a way to optimize your existing assets. Using on demand resources in the cloud, you can leverage the power of the cloud and provide services that complement your existing on-premises datacentre. Cloud brain platform also provides consistency across the key areas like; identity; management, security, infra automation, and DevOps. It also simplifies complexities as user can comfortably choose instance sizes, operating systems, database, application framework among other applications as per their business needs and usage.

                    Value Added Abstracts Pages: 7 - 7

                    Blockchain for MedTech Manufacturing

                    Roberto Magnani

                    A project just terminated and reported back to the FDA in the US. In IBM, Watson Health aims to build a smarter health in several areas, government health and human services, payer and providers, enterprise imaging,  ¬oncology. Here we illustrate a specific solution in the area of Life Science where our blockchain expertise has been fused with expertise in the sector. IBM utilizes an open source technology with Linux, called Hyperledger Fabric. On top of it we are building several solutions and use cases. This pilot with other major companies creates a blockchain solution to respond to the FDA request of traceability of drugs and/or medical devices. Blockchain was specifically geared to create a system that would test a rapid alert system among business partners alongside  supply chain in case of medication recall. The results of the pilot can be summarized in 4 main points, Provenance and data privacy are guaranted, so only specific partners are notified in case of provenance enquiries,. Reports of recalls is generated and competent autorithies are notified properly. Patient safety is guaranteed by elimintating only the specific lot impacted by the reason of the recall and therefore no hijacking of falsified products or sumministration of bad drugs would be done. This process, which would usually takes 3 days, took only 10 seconds.. In Europe a similar regulation will be released middle 2021. Unique Device Identification (UDI) System under the EU Medical Device Regulations 2017/745 and 2017/746 will facilitathe to an easy traceability to enhance post market analysis and overall better monitoring by audit agencies and competent authorities. This will

                    prevent falsified and malfunctioning and reduce medical wast, guaranteeing higher standards of safety and we can take advantage of the experience already made in USA.

                    Value Added Abstracts Pages: 8 - 8

                    Now and then, the true impact of AI on healthcare

                    Roberto Magnani

                    We ‘ll cover here the effect of AI in some application for  Life Science industry. We are in the 4th industrial revolution: new technologies like AI, IOT, data and cloud are fundamentally altering the way we live, work and relate to each other. Specifically in healthcare now, with a better ability to integrate and harness the data from wearables, electronic health records, patient reported outcomes, genomics data, we can drive better actionable insights, with more efficient processes, faster decision making, smarter business,  ending ultimately bringing new and more personalized medicines to patients sooner. The Life Science industry is still facing the challenges of the past.  Clinical Trials, 80% of trials in the US fail to meet recruitment deadlines and more than 80% experience delays. It takes a lot of time and cost a lot to deliver a drug to the market, which inevitably affects the number of treatments we do get to the market. In addition Siloed and unstructured data collection across disparate systems makes it difficult and time consuming. It’s not about collecting or finding data anymore, its actually what do we do with the data. With AI we’ can analyze the data to derive actionable insights. The AI can process enormous amounts of structured and unstructured data, can understand natural language, including clinical text, to surface insights, reach conclusions and anticipate problems with human – level expertise. Industry real cases( i.e. project with Majo Clinic in Minnesota for edical coding improvement) show how training  Watson and infuse it’s capability we have a significant improvement in rpecison and reduction of costs and time. With case we will arrive to show that. The pace of change will vary across industries but if we adopt these emerging, advanced technologies in the Life Science space we have a chance to bridge to the needs of yesterday and tomorrow and drive value and scalability to our patients and organizations.

                    Value Added Abstracts Pages: 9 - 9

                    How Hybrid Cloud Accelerates Enterprise Cloud Transformation?

                    Rupal Shirpurkar

                    A Enterprises are increasingly adopting a hybrid cloud approach that includes one or more cloud providers along with on-premises infrastructure. A hybrid cloud approach offers the best path to the cloud, and a way to optimize your existing assets. Click2Cloud Multi cloud management platform makes cloud adoption fast and easy, allowing you to optimize the value of existing on-premises infrastructure, while confidently leveraging the same tools, technologies and skills in the cloud. Choosing the right hybrid cloud solution is an important step in your digital transformation. The hybrid platform is a strategic choice for forward-leaning organizations that are looking for a long-term, powerful solution to innovation, flexibility, and control across their on-premises and cloud environments. Ready to start your cloud journey? Easily migrate your workloads to the AWS, Alibaba, Huawei, GCP, Telefonica Cloud with two months free. Gain rapid scalability, deployment in 60+ global data centers and access to industry-leading disaster recovery, backup, security and compliance solutions from an array of ecosystem partners. Cloud adoption continues to accelerate, as the cloud is increasingly seen as the key to business technology transformation. ***GO FURTHER, FASTER WITH HYBRID CLOUD*

                    Value Added Abstracts Pages: 10 - 10

                    Using GPU based Edge Computing for Federated Machine Learning

                    Sanjay Basu

                    A Today availability of data for machine learning model training is challenging due to data sovereignty restrictions. There are added issues like scaling, cost, latency, etc. when transferring data from the filed or remote regions to core cloud regions for processing and training purposes. This paper focuses on the role of GPU shapes at the edge of the cloud for federated machine learning (ML) training. Federated ML training is recommended to address customer requirement around data sovereignty and other restrictions surrounding streaming or real time data transfer back to a central cloud region. Customers like to use centralized cloud regions to address impacts due to increased latency and associated link costs and lack of data diversity. This paper proposes a solution to implement federated machine learning at the Cloud’s edge point of presences using GPU based computing nodes. In addition depending on industry segments or regional requirements, the inference can also place at the edge. The training data or the inference data are aggregated at the core regions. We will discuss some new developments targeted at this space.

                    Value Added Abstracts Pages: 11 - 11

                    Holistic Resource Management for Sustainable and Reliable Cloud Computing: An Innovative Solution to Global Challenge

                    Sukhpal Singh Gill

                    AMinimizing the energy consumption of servers within cloud computing systems is of utmost importance to cloud providers towards reducing operational costs and enhancing service sustainability by consolidating services onto fewer active servers. Moreover, providers must also provision high levels of availability and reliability, hence cloud services are frequently replicated across servers that subsequently increases server energy consumption and resource overhead. These two objectives can present a potential conflict within cloud resource management decision making that must balance between service consolidation and replication to minimize energy consumption whilst maximizing server availability and reliability, respectively. In this keynote talk, I shall discuss a energy-reliability aware resource scheduling approach for holistic management of cloud computing resources including servers, networks, storage, and cooling systems. This technique clusters and executes heterogeneous workloads on provisioned cloud resources and enhances the energy-efficiency and reduces the carbon footprint in datacenters without adversely affecting cloud service reliability.

                    Value Added Abstracts Pages: 12 - 12

                    Birth Information as a tool for CyberCrime

                    Adebayo Adedapo Emmanuel

                    Privacy is a major concern for governments, corporate organizations and individuals and emergence of digitized methods for the storage of information has pushed mankind into the 21st Century and also has brought about the need for data privacy and confidentiality. Cyber crime began to take off in early 2000’s when social media came to life and usage of internet resources allows for a user to disclose information in certain contexts, while the information remains protected and it’s uses remains limited by an obligation to maintain confidentiality. Researchers and other controllers and processors of personal data have to protect the personal information from unauthorized access as the date of birth collected as part of personal information can pose a great risk to the privacy rights of a user and increase the rate of Identity theft. This research is based on collection of personal information from 300 users (age 22-60), using numerological approach. The information collected from every user was analyzed by reducing the date of birth of each user to a numerical value which in turn gives a life path number and the life path number revealed who the user is, their deepest values and some of their life challenges. From the analysis of the data, 258 users confirmed that the result was very accurate,23 users said it’s somewhat accurate, 12 users are not sure(50/50), 3 user said its inaccurate and there are 4 void result. The results of the analysis carried out on the user data provides proof that the provision of a users birth information posses a great threat to the privacy and safety of a user and also instrumental in cyber crime and social engineering process.

                    Value Added Abstracts Pages: 13 - 13

                    A Privacy-Preserving Authentication and Key Agreement Scheme with Deniability for IoT

                    Tinashe Magara

                    User authentication for the Internet of Things (IoT) is a vital measure as it consists of numerous unattended connected devices and sensors. For security, only the user authenticated by the gateway node can access the real-time data gathered by sensor nodes. We present an efficient privacy-preserving authentication and key agreement scheme for IoT, which enables the user, the gateway node and sensor nodes to authenticate with each other. Only the trusted gateway node can determine the real identity of the user; however, no other entities can get information about user’ identity by just intercepting all exchanged Cyber threats are a global risk that governments, the private sector, non-governmental organizations – and the global community as a whole – must deal with. Chatham House focuses on building cyber capacity and expertise among policymakers, investigating key issues through publishing in-depth policy research, conducting cyber simulation exercises, and convening high-level meetings with a wide group of stakeholders. messages during authentication phase. The gateway cannot prove the received messages from the sender to a third party, and thus preserving the privacy of the sender. The correctness of the proposed scheme is proved to be feasible by using BAN logic, and its security is proved under the random oracle model. The execution time of the proposed scheme is evaluated and compared with existing similar schemes, and the results demonstrate that our proposed scheme is more efficient and applicable for IoT applications. The economic and social benefits of digital technology have transformed the world as we know it, but have introduced high risks through its malicious use by both state and non-state actors. These risks affecting economies, societies and livelihoods, and are threatening international peace and security.

                    Value Added Abstracts Pages: 14 - 14

                    Security as a Service (SecaaS)

                    Adelegbe Lawrence Gbenga

                    Security is freedom from, or resilience against, potential harm caused by others Enterprises need to protect their assets, but they also need to be profitable to stay in business. Protecting information assets has become a priority for enterprises that need to meet compliance requirements or need to protect sensitive data. The challenge for these enterprises is implementing robust security practices while keeping investment and operational costs contained. Security as service offers a way for enterprises to access security services that are robust, scalable and cost effective. When An enterprise chooses SECaaS, they are essentially choosing to relinquish control over their security to a third-party specialist. As a result, the enterprise’s overall security posture improves because security systems are maintained and administered by security specialists. SECaaS is typically delivered on the basis of a subscription, which for many companies means replacing the one-time licensing costs of security software with a reoccurring subscription. With reward comes risk, and enterprises should consider benefits and risk when evaluating Security as service products and providers. And also, enterprises need to understand that they can outsource responsibility but they cannot outsource accountability; therefore, enterprises should implement an assurance plan that includes assessing the services obtained from SecaaS providers. Security as a service enables enterprises that do not have the security expertise in-house, or the ability to recruit the required expertise, to license a professionally managed service.

                    Value Added Abstracts Pages: 15 - 15

                    Known Unknowns

                    Phil Cracknell

                    TCybersecurity is the practice of protecting systems, networks, and programs from digital attacks. These cyberattacks are usually aimed at accessing, changing, or destroying sensitive information; extorting money from users; or interrupting normal business processes. Implementing effective cybersecurity measures is particularly challenging today because there are more devices than people, and attackers are becoming more innovative. Security can only be accurately assessed, if ways of managing ‘non-knowledge’ are taken into account. Anyone attempting to measure an organisation’s security posture finds that metrics are difficult to collect and don’t show the full picture. We also tend to protect against what we know and what we think we know. Knowledge does not come in volumes offering certainty to security decisions. Instead it is an incremental process in which the data reflects but never quite captures the changing security landscape. A steady conversion of unknowns to knowns! Anticipating Blind-Spots! Organisations face complex and uncertain situations every day, but the most challenging circumstances are often completely unexpected, because we never even knew to look for them. Organisations should make efforts to anticipate blind spots. We can never completely eliminate our blind spots, but they can be reduced to improve performance and prevent the mistakes that in hindsight should have been obvious

                    Past Conference Report Pages: 16 - 16

                    Conference Announcement on International Conference on Cloud Computing and Virtualization London, UK | May 21-22, 2020


                    We are satisfied to invite you to the "International Conference on Cloud Computing and Virtualization". after the fruitful culmination of the arrangement of Artificial Intelligence Congress. The congress is planned to occur in the excellent city of London, UK, on May 21-22, 2020.
                    This Cloud Computing 2020 gathering will give you an excellent research understanding and tremendous thoughts. This conference will also present the advanced research, advanced techniques for Cloud Computing and its related fields.
                    Cloud Computing 2020 will concentrate on the subject Innovations and headways in Artificial Intelligence. We are certain that you will appreciate the Scientific Program of this up and coming Conference. The point of view of the Cloud Computing Conference is to set up cutting edge research to assist individuals with seeing how procedures have progressed and how the field has created as of late.
                    Cloud Computing and Virtualization is an area of programming building that underscores the creation of canny machines that work and react like individuals. Man-made brainpower is master in examining how human cerebrum thinks, learn, choose, and work while attempting to take care of an issue, and afterward utilizing the results of this investigation as in the reality, the information has some unfortunate properties. In the advanced world, Cloud Computing and Virtualization can be utilized from multiple points of view to control robots, Sensors, actuators and so forth. A robotization framework is a framework that controls and shows building association. These frameworks can be set up in a couple of commonplace ways. In this portion, a general development outline work for a structure with complex prerequisites because of the activity, for example, a counselling room will be depicted.
                    Conference will encourage Young Researcher’s Forum, scientists and the researchers in their early stage of career graph to widely discuss their outcome so as to enrich and develop the idea. The ‘Best Poster Award’ is meant to encourage students in taking active part in the International Science platform to sharpen their skills and knowledgebase.
                    According to this research report, the global market Cloud Computing is projected to show a robust growth of 6.5 per cent in the CAGR during 2019-2024.
                    Coud Computing is the practice of sharing a network of remote servers which are hosted on the Internet to store, process, and manage data rather than on a local server or a personal computer. It specifically refers to a common storage space through which all the devices in the network can access data simultaneously. The use of Cloud computing technology not only gives cost benefits but also makes applications accessible to all devices in the network at any time and from any location. The global storage market has recorded revenues of $9.12 billion in 2012 with the growth rate of 16.7% as compared to the revenues in 2011. The major driver for the growth of the global cloud computing services market is its cost-effective services.
                    Cloud Computing Technology Market Analysis by Services
                    Gartner predicts the worldwide public cloud service market will grow from $182.4B in 2018 to $331.2B in 2022, attaining a compound annual growth rate (CAGR) of 12.6%.Spending on Infrastructure-as-a-Service (IaaS) is predicted to increase from $30.5B in 2018 to $38.9B in 2019, growing 27.5% in a year.Platform-as-a-Service (PaaS) spending is predicted to grow from $15.6B in 2018 to $19B in 2019, growing 21.8% in a year.
                    Business Intelligence, Supply Chain Management, Project and Portfolio Management and Enterprise Resource Planning (ERP) will see the fastest growth in end-user spending on SaaS applications through 2022.

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