Basic research for the micro actuator using TiNi shape memory alloy (SMA) is conducted from the crystallographic point of view. SMA (TiNi) thin film is fabricated by sputter deposition. First, the influence of substra...
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Basic research for the micro actuator using TiNi shape memory alloy (SMA) is conducted from the crystallographic point of view. SMA (TiNi) thin film is fabricated by sputter deposition. First, the influence of substrate temperature on crystal structure is verified by measuring resistivity-temperature curve and X-ray diffraction. Though high temperature substrate conditions make TiNi film in regular crystal, an amorphous structure appears at low substrate temperature. Next optimal composition of sputtered SMA thin film is found by SSQ. The negative slope of the resistivity curve due to phase transformation between R-phase and parent phase is observed. Finally, annealing methods are examined to crystallize amorphous TiNi.< >
作者：
Maruyama, SatoshiIwanami, YasunoriIkeda, TetsuoFaculty of Engineering
Nagoya Institute of Technology Nagoya Japan 486 Satoshi Maruyama graduated 1983 Dept. Electrical Eng.
Fac. Eng. Nagoya Inst. Technology. Completed Master's program 1985 Grad. School and affiliated with Fujitsu Co. Engaged in researches in distance measurement by spread spectrum technique. Tetsuo Ikeda graduated 1961 Dept. Comm. Eng.
Fac. Eng. Tohoku University. Completed doctoral program 1966 Grad. School. Assistant 1966 and Assoc. Prof. 1968 Fac. Eng. Tohoku University. Assoc. Prof. 1973 and Prof. 1977 Nagoya Inst. Technology. Engaged in researches in network theory computer networks communication system and electromagnetic environment. Doctor of Eng. Member I.E.E.E. Japan TV Soc. Jap. Inf. Proc. Soc. Jap. Soc. Inf. Comm. and I.E.E.E.
The spread spectrum (SS) communication is a communication system which has excellent characteristics against noise and is suited to the code-division multiplex. This paper describes a method which reduces the tracking...
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The spread spectrum (SS) communication is a communication system which has excellent characteristics against noise and is suited to the code-division multiplex. This paper describes a method which reduces the tracking phase error in DLL due to multipath waves in SS communication system. The method is based on the model with a single multipath wave.
作者：
GERSH, JRThe authoris a principal staff engineer at The Johns Hopkins University Applied Physics Laboratory
where he supervises the AAW Operations Section of the Combat Direction Group. Since joining JHU/APL in 1980 he has been involved in the specification development and testing of advanced surface combat direction systems specializing in the application of rule-based control mechanisms to command and control problems. In 1985-86 he chaired the Doctrine Working Group of the Naval Sea Systems Command's Combat Direction System Engineering Committee. Mr. Gersh served in the U.S. Navy from 1968 to 1977 as a sonar technician and as a junior officer (engineering and gunnery) aboard Atlantic Fleet frigates and as a member of the U.S. Naval Academy's Electrical Engineering faculty. He was educated at Harvard University and the Massachusetts Institute of Technology receiving S. B. S. M. and E. E. degrees in electrical engineering from the latter. He holds certificates as a commercial pilot and flight instructor and is a member of the U.S. Naval Institute the IEEE Computer Society and the American Association for Artificial Intelligence.
For the last four years the most advanced surface combat direction system (CDS) of the U.S. Navy has employed a limited knowledge-based control mechanism. Implemented in the Aegis Weapon system's command and decis...
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For the last four years the most advanced surface combat direction system (CDS) of the U.S. Navy has employed a limited knowledge-based control mechanism. Implemented in the Aegis Weapon system's command and decision element, this capability is called control by doctrine, and is a foundation for the Ticonderoga class cruisers' exceptional performance. Control by doctrine allows CIC personnel to direct that certain CDS functions be performed automatically upon tracks with specified characteristics. In effect, these CDS functions, from identification to engagement, can now be controlled through the specification and activation of general system response rules rather than by individual operator actions. The set of active rules, called doctrine statements, forms a system knowledge-base. The Advanced Combat Direction system, Block 1, successor to today's Naval Tactical Data system, will also employ control by doctrine. As part of a larger effort investigating Aegis/ACDS commonality issues, a Doctrine Working Group was chartered to consider, among other things, implications for force-wide interoperability of multiple systems with such rule-based control mechanisms. The working group produced a set of design objectives for doctrine statement standardization across CDSs. Principal features of these objectives are described. The prospect of several such ships operating together in a battle group has raised questions as to the methods by which the actions of ships with those doctrinally-automated systems can best be coordinated. Related questions deal with specific design features for the support of such coordinated action. Work is now being carried out to investigate these questions. Combat system automation through doctrine statements is only one kind of rule-based control. Much work in the area of artificial intelligence deals with the use and maintenance of complex systems of rules, usually in non-real-time problem solving applications. Such systems are just now beginning
The branch-and-bound principle is successful in solving various combinatorial optimization problems. In general, however, the computation time becomes excessive as the sizes of problems grow. To overcome this difficul...
This book contains expanded versions of research papers presented at the international sessions of Annual Conference of the Japanese Society for Artificial Intelligence (JSAI), which was held online in June 2020. The ...
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ISBN:
(数字)9783030731137
ISBN:
(纸本)9783030731120
This book contains expanded versions of research papers presented at the international sessions of Annual Conference of the Japanese Society for Artificial Intelligence (JSAI), which was held online in June 2020. The JSAI annual conferences are considered key events for our organization, and the international sessions held at these conferences play a key role for the society in its efforts to share Japan’s research on artificial intelligence with other countries. In recent years, AI research has proved of great interest to business people. The event draws both more and more presenters and attendees every year, including people of diverse backgrounds such as law and the social sciences, in additional to artificial intelligence. We are extremely pleased to publish this collection of papers as the research results of our international sessions.
The book is a collection of best selected research papers presented at the Third World Conference on Internet of Things: Applications & Future (ITAF 2023) organized by Global Knowledge Research Foundation in Cairo...
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ISBN:
(数字)9789819947645
ISBN:
(纸本)9789819947638
The book is a collection of best selected research papers presented at the Third World Conference on Internet of Things: Applications & Future (ITAF 2023) organized by Global Knowledge Research Foundation in Cairo during February 4–5, 2023. It includes innovative works from researchers, leading innovators, business executives, and industry professionals to examine the latest advances and applications for commercial and industrial end users across sectors within the emerging Internet of things ecosphere. It shares state-of-the-art as well as emerging topics related to Internet of things such as big data research, emerging services and analytics, Internet of things (IoT) fundamentals, electronic computation and analysis, big data for multi-discipline services, security, privacy and trust, IoT technologies, and open and cloud technologies.
The proliferation of fake news poses a substantial threat to information integrity, prompting the need for robust detection mechanisms. This study advances the research on Arabic fake news detection and overcomes the ...
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The proliferation of fake news poses a substantial threat to information integrity, prompting the need for robust detection mechanisms. This study advances the research on Arabic fake news detection and overcomes the limitation of lower accuracy for fake news detection. This research addresses Arabic fake news detection using word embedding and a powerful stacking classifier. The proposed model combines bagging, boosting, and baseline classifiers, harnessing the strengths of each to create a robust ensemble. Extensive experiments are carried out to evaluate the proposed approach indicating remarkable results, with recall, F1 score, accuracy, and precision reaching 99%. The utilization of advanced stacking techniques, coupled with appropriate textual feature extraction, empowers the model to effectively detect Arabic fake news. Study results make a valuable contribution to fake news detection, particularly in the Arabic context, providing a valuable tool for enhancing information veracity and fostering a more informed public discourse. Furthermore, the proposed model’s accuracy is compared with other cutting-edge models from the existing literature to showcase its superior performance.
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