Future Information Engineering And Manufacturing Science

The 2014 International Conference on Future Information Engineering and Manufacturing Science (FIEMS 2014) was held June 26-27 in Beijing, China. The objective of FIEMS 2014 was to provide a platform for researchers, engineers, academics as well as industry professionals from all over the world to present their research results and development acti

The clearly declining competitiveness of the United States in the world marketplace has prompted increased concern about the health of the United States' manufacturing industries. This volume is the result of lively discussions and formal presentations by industry leaders and education experts during a symposium convened by the National Academy of Engineering and the National Research Council. Issues involving the changing face of U.S. manufacturing, requirements for educating and training engineers for manufacturing careers, and the possibilities for cooperative arrangements between industry and academia are examined in-depth in an effort to improve manufacturing education and therefore move toward boosting the nation's world competitiveness in manufacturing.

The International Conference on Future Manufacturing Engineering (ICFME 2014) was held in Hong Kong, December 10-11, 2014. It gathered academics, industry managers and experts, manufacturing engineers, university students all interested or proficient in the field of manufacturing engineering, including research, design and development of systems, p

This book constitutes the refereed proceedings of the 4th Computational Methods in Systems and Software 2020 (CoMeSySo 2020) proceedings. Software engineering, computer science and artificial intelligence are crucial topics for the research within an intelligent systems problem domain. The CoMeSySo 2020 conference is breaking the barriers, being held online. CoMeSySo 2020 intends to provide an international forum for the discussion of the latest high-quality research results.

This book offers a collection of high-quality, peer-reviewed research papers presented at the International Conference on Intelligent Computing, Communication and Devices (ICCD 2017), discussing all dimensions of intelligent sciences – intelligent computing, intelligent communication, and intelligent devices. Intelligent computing addresses areas such as intelligent and distributed computing, intelligent grid and cloud computing, internet of things, soft computing and engineering applications, data mining and knowledge discovery, semantic and web technology, hybrid systems, agent computing, bioinformatics, and recommendation systems. Intelligent communication is concerned with communication and network technologies, such as mobile broadband and all optical networks that are the key to groundbreaking inventions of intelligent communication technologies. It includes communication hardware, software and networked intelligence, mobile technologies, machine-to-machine communication networks, speech and natural language processing, routing techniques and network analytics, wireless ad hoc and sensor networks, communications and information security, signal, image and video processing, network management, and traffic engineering. Lastly, intelligent devices are any equipment, instruments, or machines that have their own computing capability. As computing technology becomes more advanced and less expensive, it can be incorporated an increasing number of devices of all kinds. This area covers such as embedded systems, radiofrequency identification (RFID), radiofrequency microelectromechanical system (RF MEMS), very-large-scale integration (VLSI) design and electronic devices, analog and mixed-signal integrated circuit (IC) design and testing, microelectromechanical system (MEMS) and microsystems, solar cells and photonics, nanodevices, single electron and spintronics devices, space electronics, and intelligent robotics.

This book constitutes the revised selected papers of the 8th International Conference on Cloud Computing, Big Data & Emerging Topics, JCC-BD&ET 2020, held in La Plata, Argentina*, in September 2020. The 11 full papers presented were carefully reviewed and selected from a total of 36 submissions. The papers are organized in topical sections of cloud computing and HPC; Big Data and machine and deep learning. *The conference was held virtually due to the COVID-19 pandemic.

The 4-volume set LNCS 11632 until LNCS 11635 constitutes the refereed proceedings of the 5th International Conference on Artificial Intelligence and Security, ICAIS 2019, which was held in New York, USA, in July 2019. The conference was formerly called “International Conference on Cloud Computing and Security” with the acronym ICCCS. The total of 230 full papers presented in this 4-volume proceedings was carefully reviewed and selected from 1529 submissions. The papers were organized in topical sections as follows: Part I: cloud computing; Part II: artificial intelligence; big data; and cloud computing and security; Part III: cloud computing and security; information hiding; IoT security; multimedia forensics; and encryption and cybersecurity; Part IV: encryption and cybersecurity.

"This book focuses on the latest innovations in the process of manufacturing in engineering"--Provided by publisher.

Out of concern for the state of engineering in the United States, the National Science Foundation (NSF) created the Engineering Research Centers (ERCs) with the goal of improving engineering research and education and helping to keep the United States competitive in global markets. Since the ERC program's inception in 1985, NSF has funded 67 ERCs across the United States. NSF funds each ERC for up to 10 years, during which time the centers build robust partnerships with industry, universities, and other government entities that can ideally sustain them upon graduation from NSF support. To ensure that the ERCs continue to be a source of innovation, economic development, and educational excellence, NSF commissioned the National Academies of Sciences, Engineering, and Medicine to convene a 1-day symposium in April 2016. This event featured four plenary panel presentations on: the evolving global context for center-based engineering research, trends in undergraduate and graduate engineering education, new directions in university-industry interaction, and emerging best practices in translating university research into innovation. This publication summarizes the presentations and discussions from the symposium.

The future security, economic growth, and competitiveness of the United States depend on its capacity to innovate. Major sources of innovative capacity are the new knowledge and trained students generated by U.S. research universities. However, many of the complex technical and societal problems the United States faces cannot be addressed by the traditional model of individual university research groups headed by a single principal investigator. Instead, they can only be solved if researchers from multiple institutions and with diverse expertise combine their efforts. The National Science Foundation (NSF), among other federal agencies, began to explore the potential of such center-scale research programs in the 1970s and 1980s; in many ways, the NSF Engineering Research Center (ERC) program is its flagship program in this regard. The ERCs are "interdisciplinary, multi-institutional centers that join academia, industry, and government in partnership to produce transformational engineered systems and engineering graduates who are adept at innovation and primed for leadership in the global economy. To ensure that the ERCs continue to be a source of innovation, economic development, and educational excellence, A New Vision for Center-Based Engineering Research explores the future of center-based engineering research, the skills needed for effective center leadership, and opportunities to enhance engineering education through the centers.