5^th International conference on Artificial Intelligence April 16-17, 2018 Las Vegas, Nevada, USA

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Biography:

Hen-Geul Yeh has completed his PhD from University of California, Irvine. Currently, he is the Chair of Electrical Engineering Department, California State University, Long Beach (CSULB), and has served as the Director of the DSP Laboratory since 1986. He has published more than 100 papers in referred journals and conferences in DSP, communications, power and control systems. He has been serving as an Editorial Board Member of IEEE Trans on circuits and systems II since 2016.

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Digital Signal Processing (DSP) is a general technical term or function which means the processing of discrete-time signals or data sequence either in real-time or off line to get the desirable result. In this paper, we review the history of the development of DSP and the connection to the applications in Artificial Intelligence (AI), including both hardware and software algorithms. Since World War II, if not earlier, electronic engineers have speculated on the applicability of digital hardware techniques to the many problem areas in which signal processing plays a role. Thus, for example, Laemmel (1948) reports a lunchtime conversation among Shannon, Bode, and several other Bell Laboratory scientists on the possibility of employing digital elements to construct a filter. Needless to say, the conclusion was not favorable. Cost, size, power consumption, and reliability strongly preferred analog filtering and analog spectrum analysis techniques. It was not until the mid-1960 that a more formal theory of DSP began to emerge. By then the potential of integrated circuit technology was appreciated and was reasonable to complete signal processing systems that could best be synthesized with digital components. As of today, there are many embedded hardware platforms build on very large scale integrate circuits (VLSI), such as floating-point digital signal processors as well as field programmable gate array (FPGA). At the same time, DSP techniques have been advanced rapidly in recent years and have found many applications in almost every field of technology. In software algorithm development, it starts from adaptive signal processing (1975), then moves to machine learning, neural network, and finally named as artificial intelligence, which becomes a rapid growing field today.

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Jon C Haass has received his PhD from MIT in Applied Mathematics and continued as a CLE Moore Instructor before starting his first company in the field of GPS assisted navigation. He is the Chair of the Department of Cyber Intelligence and Security at the nation’s first College of Security and Intelligence. He has published and presented more than 30 papers in diverse areas ranging from galactic dynamics to cyber threat intelligence information sharing. He is active in building the cyber security workforce in Arizona and is a Member of CyberAwareAZ and the Arizona Cyber Threat Response Alliance (ACTRA).

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Machine learning methods show promise in reducing the number of network analysts required to monitor a large complex network for malicious or anomalous activity. This would potentially free humans to perform other tasks such as mitigation, recovery and analysis of the attack or malware. Today, false positives, inherent in any detection system, wastes precious resources. To utilize machine learning techniques, to improve both issues; sensor data or variables must be pre-processed in some manner to provide input to the learning system. Deep neural nets have demonstrated success of artificial intelligence methods in restricted domains, however, in cyber security applications the problem space is essentially unbounded. Further, the adversary seeks to foil detection. This presentation will briefly look at techniques and problems that have led to our current understanding and solutions. Notable progress by researchers has improved performance in the past several years. Some solutions are being brought to market by startup companies spun off from academic research. A review of two promising approaches will be followed by a discussion of a model that identifies critical variables and sensory input to feed into a learning network. The challenges faced in this project and directions for future research to improve the detection rate and response to changing attack models will conclude the talk.

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Justice Opara-Martins is a Research Fellow in Computing and Informatics Research Centre (CIRC) at Bournemouth University, United Kingdom. His research interests include cloud computing, virtualization, ICT systems and big data – with an emphasis on the operations management aspects (incl. Internet and mobile cloud apps.). His studies and research discoveries will provide senior IT professionals, decision-makers, to seasoned software/solution architects and migration experts within major enterprises with new insights into transforming the way cloud and IT engages with and serves their organizations, including how to effectively tackle the latest migration challenges caused by the cloud lock-in problem. He holds a BSc in Information and Communication Technology (ICT) from Southampton Solent University (UK), an MSc in the field of Computer Science and Communication Networks, an MPhil in Wireless and Mobile Cloud Networks, and a PhD degree in Cloud Computing from Bournemouth University (UK), respectively. He has authored and co-authored several scientific publications in internationally recognized peer-reviewed journals, books and conference proceedings in the areas of cloud computing adoption barriers and enterprise information systems management. He currently serves as a Program Committee Member for Conference Series on Software Engineering for Service and Cloud Computing (SE-CLOUD), a Member of the editorial team for Computer and Information Science Journal and also a reviewer for the widely read computing publication entitled; Springer Journal of Cloud Computing: Advances, Systems and Applications.

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Cloud computing offers an innovative business model to enterprise for IT services consumption and delivery. Software as a Service (SaaS) is one of the cloud offerings that attract organizations as a potential solution in reducing their IT cost. However, the vast diversity among the available cloud SaaS services makes it difficult for customers to decide whose vendor services to use or even to determine a valid basis for their selections. Moreover, this variety of cloud SaaS services has led to proprietary architectures and technologies being used by cloud vendors, increasing the risk of vendor lock-in for customers. Therefore, when enterprises interact with SaaS providers within the purview of the current cloud marketplace, they often encounter significant lock-in challenges to migrating and interconnecting cloud. Hence, the complexity and variety of cloud SaaS service offerings makes it imperative for businesses to use a clear and well understood decision process to procure, migrate and/or discontinue cloud services.

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Eduard Babulak is accomplished international scholar, researcher, consultant, educator, professional engineer and polyglot, with more than thirty years of experience. He served as successfully published and his research was cited by scholars all over the world. He serves as Chair of the IEEE Vancouver Ethics, Professional and Conference Committee. He was Invited Speaker at the University of Cambridge, MIT, Yokohama National University and University of Electro Communications in Tokyo, Japan, Shanghai Jiao Tong University and Sungkyunkwan University in Korea, Penn State in USA, Czech Technical University in Prague, University at West Indies, Graz University of Technology, Austria, and other prestigious academic institutions worldwide. Academic and engineering work was recognized internationally by the Engineering Council in UK, the European Federation of Engineers and credited by the Ontario Society of Professional Engineers and APEG in British Columbia in Canada. He was awarded higher postdoctoral degree DOCENT - Doctor of Science (DSc.) in the Czech Republic, PhD, MSc and High National Certificate (HNC) diplomas in the United Kingdom, as well as, the MSc and BSc diplomas in Electrical Engineering Slovakia.

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The future research innovation and development is in the field of Automation and Robotics in conjunction with the ubiquitous access to Internet, Information Communications Technologies (ICT), Smart Computational Devices (SCD) and Ultrafast Global Communication. The third millennium is a new era the Smart Cyberspace that is becoming pervasive in its nature while connecting the next generation of Ultra-Smart Robotic. Device with the computationally powerful SCDs is accessible to anyone, anywhere and at any time. In support of Automation and Robotics, the telecommunications networks providers and SCDs developers, are working together to create much faster transmission channels with provision of higher quality of service for any multimedia content for anyone, anywhere at any time. The human machine interface with high definition audio and video facilitates seamless control of Smart Robotics and Computational Devices (SRCD), which are becoming a common technology in family homes, business, academic, and business, and industry worldwide. Today, SRCD are communicating via Robotic Internet and may be accessible to public and private customers, while storing important and to some extend confidential information in their memory. In case that SRCD may be lost, stolen or hacked into, the information stored in the memory could be abused, compromised or used for malicious purposes. In near coming future, we may see the SRDC be used to aid, or to protect family residential areas, private homes, schools, hospitals, manufacturing plants, as well as, Cyber Physical Critical Infrastructures (CPCI) such as, atomic power and chemical plants, and large cities. The further research, innovation and development of Future Ultra-SRCD side by side with Future Ultrafast Robotic Internet, will require even more research, innovation and development in the field of Cyber Assurance and Security. Proper safety and security mechanisms and policies will become critical to protect the SRCD and COIP from any form of intrusion or cyber threads from anyone, from anywhere at any time. The author discusses the current and future trends of research, innovation and developments in SRCD, CPCI and Cyber Assurance, in conjunction with the Future Ultra-Fast Internet and Ultra-SRCD. The author promotes creation of multidisciplinary multinational research teams and development of next generation SRCD and Fully Automated Environment while utilizing Ultra-Smart Robotic and Computational Devices, in conjunction with the critical Cyber Safety and Assurance challenges for today and for tomorrow.

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Jacques W Brook has his background in Strategic Management, Technology and Innovation Management, Organization Design and Managerial Economics. He obtained a Master of Science in Computer Sciences from Eindhoven University of Technology, The Netherlands; a Master of Philosophy and a Doctor of Business Administration degree with distinction from the Maastricht School of Management in The Netherlands. He served as Associate Professor of corporate innovation strategy and emerging markets at the Maastricht School of Management, in Maastricht, The Netherlands. He has published both academic and practitioner articles in the fields of Strategy, Technology and Innovation Management, and Emerging Market. In addition to his academic activities, he holds managerial and consulting positions in the industry. He is currently the Managing Director at Innovation Gateway Nederland BV and before, he was partner at Ordina N V a leading Dutch information technology service provider. He also worked at KPN, the largest telecom service in The Netherlands.

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The competitive advantage literature establishes a strong relation between technology innovation and high firm performance. As an emerging technology, Artificial Intelligence is increasingly associated with the potential to lead disruptive innovation, and becoming a new factor of productivity and profitability across industries. However, to be able to benefit from the full potential of Artificial Intelligence, firms should understand the new design challenges ahead, beyond technology, and consequently develop appropriate innovation strategies. In this context, a multidimensional approach to innovation management is used to discuss the design challenges across the dimensions which include: technology, business model, business processes, organization design, services/products and sustainability. In our view, synchronizing design objectives between these dimensions helps to assess the implications of the adoption of the artificial intelligence for the firm’s innovation strategy towards 2035 for example. It is about helping the leadership during strategic planning processes to understand how to navigate landscape of the next generation of automation with artificial intelligence. From a practical perspective, three cases which include healthcare, insurance and government are discussed.

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Since last few years, Smart City and related projects are evolving rapidly so users are shifting from local server to community data centers. Therefore, smart city markets are desperately in need of solutions that can improve safety of people, security of vehicles and can reduce the cost of ownership. This talk focuses on the convergence of the distribute networks and automotive technology towards the visualization pattern and smart city services. However, Internet of Vehicle (IoV) is an emerging concept of computing technology which is fast emerging as a successful extension to existing Internet in an embedded automotive sensor device in recent years. Researchers have visualized interconnections of billions of smart embedded devices to change the way of life. Therefore, several IoV and M-2-M initiatives are going on for the development of sensing technologies for the automotive technologies especially in machine-to-real-world and machine-to-humans. The resultant of the IoV objects are utilized for embedded technologies to monitor, control and for comfortable and secure life of driver and vehicle. This talk mainly focuses on the following questions: What are the most appropriate distributed architectures to support smart city services?; What are the most suitable ways to the management of Internet of Vehicles Applications? and; What is the most appropriate way to improve driver safety and security services? Finally, I will present test-bed and simulation scenarios for the smart city scenario and connected vehicle services.

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Dhananjay Singh is the Director of ReSENSE Lab, and Chair in the Division of Global IT at Hankuk University of Foreign Studies (HUFS) South Korea. He received his BTech degree in Computer Science and Engineering from VBS Purvanchal University, Jaunpur, India in 2003 and MTech degree in Wireless Communication and Computing from Indian Institute of Information Technology (IIIT), Allahabad, India. He received his PhD degree in Ubiquitous IT from Dongseo University (DSU), Busan, South Korea. He is working as a Post Doctor Researcher and Senior Member of Engineering Staff of Future Internet Architecture at National Institute of Mathematical Sciences (NIMS), and Electronics and Telecommunication Research Institute (ETRI), Daejeon, South Korea. He is a Senior Member of IEEE and ACM Society. He has won best paper award for three times from IEEE conferences and two times fellowship award from APAN meeting for Singapore and Manila. He has published 100+ refereed scientific papers, served 100+ TPC membership and delivered 50+ invited talks at the major IEEE conferences/workshop. His research interests focus on the design, analysis and implementation of algorithms/protocols for large-scale data set to solve real-world problems.

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Andrzej Buchacz has completed his MSc in Eng., (1974), PhD, (1979) and DSc (1992). He was an Academician of the Crimean Academy of Sciences (2011), is a Vice Head of Science of Institute of Engineering Processes Automation and Integrated Manufacturing Processes. He is an author or a co-author over 500 papers - 45 in reputed journals, 18 scientific books, eight promoted doctors. He is a laureate of many national and branch prizes and scientific distinctions. He was the Chairman of 2^nd International Conference - Graphs and Mechanic, a Member of the Building Expertise in Science and Technology, Committees of International Conferences (PL, UA, RUS and RU), Machine-Builders International Union, Editorial Board International Journal, Development Technologies and Machine Building Systems (UA) and Machine Dynamics Problems (PL), an Editor in Chief of Publishing House at Silesian University of Technology, a Member of Vibroacoustic and Diagnostics Division of Machines and Systems at Ministry of Science and Information Education and Science, a Fellow of the World Academy of Materials and Manufacturing Engineering.

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In the Gliwice Research Centre, the multiple problems of different models of vibrating beam systems analyzed by the structural numbers methods modelled by means of the graphs and hypergraphs have been solved. The discrete - continuous torsionally and flexibly vibrating mechanical and mechatronic systems were considered. In comparison to dynamical flexibilities only for mechanical flexibly vibrating beam, as a part of complex mechanical and/or mechatronic systems, exact method and approximate methods were used. In this paper, the hypergraphs methods have been used for modeling of mechanical subsystems – vibrating beams – of simply mechatronic subsystems of complex mechatronic systems. On the base of the obtained formulas, which were determined by the exact and approximate method, it is possible to make the analysis of the considered vibrating system by only approximate method. Taking into consideration, other boundary conditions of mechanical or mechatronic systems and other kinds of their vibrations, it is necessary to achieve other researches review in this paper. The problems will be presented in future works, because necessary conditions to synthesis of transverse vibrating mechanical or/and complex mechatronic systems must be obtained.

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