الصفحة 1
الصفحة 1
Frontiers in Hardware Security and Trust : Theory, design and practice
The footprint and power constraints imposed on internet-of-things end-points, smart sensors, mobile and ad hoc network devices make traditional and software based cryptographic solutions that require a general-purpose processor increasingly unfeasible. The fact that security is not the primary functionality of these devices means that only a small portion of their limited processing power and storage is available for security, driving the need for alternative security solutions. Hardware security - including hardware obfuscation, hardware security primitives, side-channel attacks and so on - is therefore becoming an increasingly active research area in both academia and industry.
Data science ; 6th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2020, Taiyuan, China, September 18-21, 2020, Proceedings, Part II
This two volume set (CCIS 1257 and 1258) constitutes the refereed proceedings of the 6th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2020 held in Taiyuan, China, in September 2020. The 98 papers presented in these two volumes were carefully reviewed and selected from 392 submissions. The papers are organized in topical sections: database, machine learning, network, graphic images, system, natural language processing, security, algorithm, application, and education.
Data Science ; 6th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2020, Taiyuan, China, September 18-21, 2020, Proceedings, Part I
This two volume set (CCIS 1257 and 1258) constitutes the refereed proceedings of the 6th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2020 held in Taiyuan, China, in September 2020. The 98 papers presented in these two volumes were carefully reviewed and selected from 392 submissions. The papers are organized in topical sections: database, machine learning, network, graphic images, system, natural language processing, security, algorithm, application, and education.
CMOS Current-Mode Circuits for Data Communications
Addresses the analysis and design principles of CMOS current mode circuits and their applications for data communications. The analytical methods and design principles are based on the characteristics of MOS devices applied to current CMOS technologies. Major topics include: design techniques for current mode circuits, electrical signaling for high speed data links, current-mode transmitters and receivers, switching noise and grounding of mixed mode circuits, a comparison of voltage-mode with current-mode circuits, ESD protection, and additional related topics. Examples are given of CMOS technologies from leading semiconductor companies and analyzed using the latest computer-aided design tools by leading design companies. CMOS Current-Mode Circuits for Data Communications is a valuable reference for circuit design engineers and hardware system engineers.
CMOS Active Inductors and Transformers : Principle, Implementation, and Applications
CMOS Active Inductors and Transformers: Principle, Implementation, and Applications provides a systematic presentation and a detailed examination of the operation principles and implementations, and discusses their emerging applications in high-speed analog signal processing and data communications.
Machine-learning-assisted intelligent processing and optimization of complex systems
Focuses on the most recent developments in intelligent optimization methods and their applications in various test cases. The reprint covers various topics, including distributed multiagent modeling, metaheuristic algorithms, multisource data fusion, mobile computing and mobile sensing, machine learning-based intelligent processing for modeling complex manufacturing systems, and data-driven intelligent modeling
Languages and Compilers for High Performance Computing ; 17th International Workshop, LCPC 2004, West Lafayette, IN, USA, September 22-24, 2004, Revised Selected Papers
Cetus is a compiler infrastructure for the source-to-source transformation of programs. Since its creation nearly three years ago, it has grown to over 12,000 lines of Java code, been made available publically on the web, and become a basis for several research projects. We discuss our experience using Cetus for a selection of these research projects. The focus of this paper is not the projects themselves, but rather how Cetus made these projects possible, how the needs of these projects influenced the development of Cetus, and the solutions we applied to problems we encountered with the infrastructure. We believe the research community can benefit from such a discussion, as shown by the strong interest in the mini-workshop on compiler research infrastructures where some of this information was first presented.
Knowledge science, engineering and management; 13th International Conference, KSEM 2020, Hangzhou, China, August 28–30, 2020, Proceedings, Part I
Constitutes the refereed proceedings of the 13th International Conference on Knowledge Science, Engineering and Management, KSEM 2020, held in Hangzhou, China, in August 2020.* The 58 revised full papers and 27 short papers were carefully reviewed and selected from 291 submissions. The papers of the first volume are organized in the following topical sections: knowledge graph; knowledge representation; knowledge management for education; knowledge-based systems; and data processing and mining. The papers of the second volume are organized in the following topical sections: machine learning; recommendation algorithms and systems; social knowledge analysis and management; text mining and document analysis; and deep learning.
Knowledge science, engineering and management ; 13th International Conference, KSEM 2020, Hangzhou, China, August 28–30, 2020, Proceedings, Part II
Constitutes the refereed proceedings of the 13th International Conference on Knowledge Science, Engineering and Management, KSEM 2020, held in Hangzhou, China, in August 2020.* The 58 revised full papers and 27 short papers were carefully reviewed and selected from 291 submissions. The papers of the first volume are organized in the following topical sections: knowledge graph; knowledge representation; knowledge management for education; knowledge-based systems; and data processing and mining. The papers of the second volume are organized in the following topical sections: machine learning; recommendation algorithms and systems; social knowledge analysis and management; text mining and document analysis; and deep learning.
