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 activities in Information Engineering and Manufacturing Science. The program consisted of invited sessions and technical workshops and discussions with eminent speakers, and contributions to this proceedings volume cover a wide range of topics in 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 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

The most up-to-date view of manufacturing technologies. Written by leading experts from the USA, Europe, and Asia, both handbook and CD-ROM cover a wide range of topics ranging from industrial management and organization to automation and control, from mechanical to electronical technology, and from machine tools to the consumer goods industry. It gives a unique interdisciplinary and global presentation of material and combines, for the first time, theoretical and significant practical results from the last decades of the most important branches of machine building. Its broad coverage appeals to the highly skilled scientific expert as well as the experienced design engineer, and to undergraduate and advanced students.

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.

Manufacturing process controls include all systems and software that exert control over production processes. Control systems include process sensors, data processing equipment, actuators, networks to connect equipment, and algorithms to relate process variables to product attributes. Since 1995, the U.S. Department of Energy Office of Industrial Technology 's (OIT) program management strategy has reflected its commitment to increasing and documenting the commercial impact of OIT programs. OIT's management strategy for research and development has been in transition from a technology push strategy to a market pull strategy based on the needs of seven energy-and waste-intensive industries-steel, forest products, glass, metal casting, aluminum, chemicals, and petroleum refining. These industries, designated as Industries of the Future (IOF), are the focus of OIT programs. In 1997, agriculture, specifically renewable bioproducts, was added to the IOF group.The National Research Council Panel on Manufacturing Process Controls is part of the Committee on Industrial Technology Assessments (CITA), which was established to evaluate the OIT program strategy, to provide guidance during the transition to the new IOF strategy, and to assess the effects of the change in program strategy on cross-cutting technology programs, that is, technologies applicable to several of the IOF industries. The panel was established to identify key processes and needs for improved manufacturing control technology, especially the needs common to several IOF industries; identify specific research opportunities for addressing these common industry needs; suggest criteria for identifying and prioritizing research and development (R&D) to improve manufacturing controls technologies; and recommend means for implementing advances in control technologies.

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.

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.