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Self-Awareness for Autonomous systems

PROCEEDINGS OF THE IEEE 2020年第7期108卷 971-975页

作者： Dutt, Nikil Regazzoni, Carlo S. Rinner, Bernhard Yao, Xin Nikil Dutt (Fellow IEEE) received the Ph.D. degree from the University of Illinois at Urbana–Champaign Champaign IL USA in 1989.""He is currently a Distinguished Professor of computer science (CS) cognitive sciences and electrical engineering and computer sciences (EECS) with the University of California at Irvine Irvine CA USA. He is a coauthor of seven books. His research interests include embedded systems electronic design automation (EDA) computer architecture distributed systems healthcare Internet of Things (IoT) and brain-inspired architectures and computing.""Dr. Dutt is a Fellow of ACM. He was a recipient of the IFIP Silver Core Award. He has received numerous best paper awards. He serves as the Steering Committee Chair of the IEEE/ACM Embedded Systems Week (ESWEEK). He is also on the steering organizing and program committees of several premier EDA and embedded system design conferences and workshops. He has served on the Editorial Boards for the IEEE Transactions on Very Large Scale Integration (VLSI) Systems and the ACM Transactions on Embedded Computing Systems and also previously served as the Editor-in-Chief (EiC) for the ACM Transactions on Design Automation of Electronic Systems. He served on the Advisory Boards of the IEEE Embedded Systems Letters the ACM Special Interest Group on Embedded Systems the ACM Special Interest Group on Design Automationt and the ACM Transactions on Embedded Computing Systems. Carlo S. Regazzoni (Senior Member IEEE) received the M.S. and Ph.D. degrees in electronic and telecommunications engineering from the University of Genoa Genoa Italy in 1987 and 1992 respectively.""He is currently a Full Professor of cognitive telecommunications systems with the Department of Electrical Electronics and Telecommunication Engineering and Naval Architecture (DITEN) University of Genoa and a Co-Ordinator of the Joint Doctorate on Interactive and Cognitive Environments (JDICE) international Ph.D. course started initially as EU Erasmus Mundus Project and

Autonomous systems are able to make decisions and potentially take actions without direct human intervention, which requires some knowledge about the system and its environment as well as goal-oriented reasoning. In computer systems, one can derive such behavior from the concept of a rational agent with autonomy (“control over its own actions”), reactivity (“react to events from the environment”), proactivity (“act on its own initiative”), and sociality (“interact with other agents”) as fundamental properties \n[1]\n. Autonomous systems will undoubtedly pervade into our everyday lives, and we will find them in a variety of domains and applications including robotics, transportation, health care, communications, and entertainment to name a few. \nThe articles in this month’s special issue cover concepts and fundamentals, architectures and techniques, and applications and case studies in the exciting area of self-awareness in autonomous systems.

关键词： Special issues and sections Autonomous systems Self-aware Robot sensing systems Computational modeling

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STATISTICAL PROCESS-CONTROL FOR SOFTWARE IN THE MAINTENANCE PHASE

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NAVAL ENGINEERS JOURNAL 1993年第3期105卷 192-200页

作者： LUKE, SR JACOBS, DA REED, BM Stephen R. Luke:is a registered professional engineer in the Commonwealth of Virginia. He received his B.S. in mechanical engineering from Virginia Polytechnic Institute in 1983 and is presently pursuing a master's degree in engineering management at Old Dominion University. Mr. Luke is experienced as a test engineer at the Norfolk Naval Shipyard (1978–1989) and as a reliability/quality engineer at the Naval Undersea Warfare Center Detachment Norfolk (1989-Present). Currently he is the group leader of the RMA/QA group for the AN/SQQ-89(V) Antisubmarine Warfare System at Naval Undersea Warfare Center Detachment Norfolk. Mr. Luke is a member of ASNE IEEE (Reliability Society) and ASQC and is an ASQC certified quality engineer and reliability engineer. Derya Alasya Jacobs:is an assistant professor in the Engineering Management Department at Old Dominion University (ODU). She has a B.S. in computer science and an M.S. and Ph.D in engineering management from the University of Missouri-Rolla. Prior to joining ODU Dr. Jacobs worked as a research engineer at the Center for Technology Transfer and Economic Development at the University of Missouri-Rolla. During the same period she served as a consultant in software development for Missouri Enterprise Rolla Missouri. Dr. Jacobs' research interests are in the areas of applied artificial intelligence decision support systems operations research and computer integrated manufacturing. Billie M. Reed:is an assistant professor in the Engineering Management Department at Old Dominion University. He received a B.S. degree in mechanical engineering from Auburn University in 1971. After completing undergraduate studies Dr. Reed was commissioned as an officer in the U.S. Navy where he served in the nuclear submarine force until 1982. Following his military career Dr. Reed worked for nine years as a systems engineer and human-machine interface designer of complex interactive computer based systems for use in aircraft space and ship systems. He received his M.S. and Ph

As technology advances and our dependency on software increases, the requirement to develop the correct means to improve quality in both the deveiopment phase and the maintenance phase of software life cycle support becomes increasingly significant. The focus of this paper is on the dilemma facing software engineering in maintaining quality within the constraints of the maintenance phase. The paper further proposes that the software maintenance process can also be analvzed and improved using statistical process control (SPC) techniques. The methods discussed in this paper have been proposed for use in the Software Maintenance project at NUWC Detachment Norfolk. Upon successful testing at NUWC Detachment Norfolk, they will be forwarded to the AN/SQQ-89(V) (interagencv) Software Quality Evaluation Committee for use by other agencies which are developing and maintaining AN/SQQ-89(V) software.

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The Harold E. Saunders Award

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NAVAL ENGINEERS JOURNAL 2000年第5期112卷 73-75页

作者： Slager, JJ Mr. Slager a native of West Sayville New York graduated with a B.S. degree in Naval Architecture and Marine Engineering from Webb Institute of Naval Architecture in 1949. His professional career which spans more than fifty years and has led to his involvement in hundreds of ship design and ship-design-related projects began with the Navy'S Bureau of Ships (BuShips) in September 1949. As a naval architect in the BuShips Preliminary Design Branch Mr. Slager carried out feasibility and concept design studies for submarines of all types patrol boats escorts destroyers cruisers docking and landing ships tenders oilers and supply ships. He was involved in hull form development powering estimates ship arrangements studies intact- and dam-aged-ship stability analyses weight computations and structural design studies. In 1964 Mr. Slager left government employment and accepted a position as a naval architect at Hydronautics Incorporated. At Hydronautics he was involved in numerous design projects such as: a feasibility study for the Navy'S deep diving rescue submarine propulsion system parametric analyses and ship feasibility studies for a U.S. Coast Guard icebreaker. In addition at Hydronautics Mr. Slager began his involvement in the development of improved design methods. In 1980 Mr. Slager accepted a position as Director of Hull Form Design/Hydrodynamic Performance with Designers & Planners Inc. where his work on ship designs and design methods was continued. In 1984 and 1985 Mr. Slager represented the U.S. Navy during the NATO Frigate (NFR-90) Feasibility Study by serving as a member of the Hydrodynamics Team working in Arlington Virginia and Hamburg Germany on the hull and appendage designs on the hydro-dynamic performance estimates and on planning monitoring and analyzing model tests. In 1988 Mr. Slager accepted a position as Senior Naval Architect with Advanced Marine Enterprises Inc. (now Computer Sciences Corporation/Advanced Marine Center) where he continues to work on ship de

for his significant contribution to naval engineering as set forth in the following

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Preface

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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2004年 3020卷 v-vi页

作者： Polani, Daniel Browning, Brett Bonarini, Andrea Yoshida, Kazuo University of Hertfordshire School of Computer Science Hatfield Hatfield Herts United Kingdom Carnegie Mellon University Newell Simon Hall 4000B 5000 Forbes Avenue PittsburghPA United States Politecnico di Milano Department of Electronics and Information Milan Italy Keio University Department of System Design Engineering 3-14-1 Hiyoshi Kohoku-ku Yokohama Japan

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Operational systems, logistics engineering and technology insertion

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NAVAL ENGINEERS JOURNAL 1997年第3期109卷 205-220页

作者： Grubb, MJ Skolnick, A Michael J. Grubb:has perfomzed naval engineering at the Crane Division Naval Surface Warfare Center (NSWC) for more than twenty-five years. He currently the program manager for the Sustainable Hardware and Affordable Readiness Practice Program (SHARP). is a Navy-wide logistics research and development prgram aimed at the successful transiton of proved technologies inot the fleet. SHARP focuses on reducing acquisition performance capability reliability maintainability and readiness of these systems. Mr. Grubb has served as a department director for the past eleven years. His most recent assignment was as director of the Tactical Computer Resources and Test Equipment Department. This organization provided acquisition and in-service engineering support of the Navy's tectical embedded computers priphirals displays and mass memory storage devices. The organization also provided a complete range of product engineering and metrology engineerig services for SSP NevSeaSysCom and the Trident Program. Prior to this appointment Mr. Grubb was deptuy director psysical security programs department and site responsible for program management and system integration of ashore integrated security systems. Mr. Grubb holds a B.S. degree in industrial engineering from Iowa State Universtiy an M.S. degree in industrial engineering from Purdue University and has copleted the course work (Dec.'96 for a master's degree in public and environment affairs at Indiana University-Purdue Univeristy Indianapolis. Dr. Alfred Skolnick operates System Science Consultants (SSC) specilizing in strategic planning technical program definiton technology assessment and engineering analyses on selected matters of national interest. He has taught physics mathematics and management sciences at University of Virginia and Marymount University and is currently adjunct professor of mathematics at Northern Virginia Community College. Form 1985 to 1989 he was president of the American Society of Noval Engineers. Dr. Skolnick served at Applied Physic

In an era of fiscal austerity, downsizing and unforgiving pressure upon human and economic capital, it is an Augean task to identify resources for fresh and creative work. The realities of the day and the practical demands of more immediate fleet needs can often dictate higher priorities. Yet, the Navy must avoid eating its seed corn. Exercising both technical insight and management foresight, the fleet, the R&D community, the Office of the Chief of Naval Operations (OpNav) and the product engineering expertise of the Naval Surface Warfare Center (NSWC) are joined and underway with integrated efforts to marry new, fully demonstrated technologies and operational urgencies. Defense funding today cannot sponsor all work that can be mission-justified over the long term because budgets are insufficient to support product maturation within the classical development cycle. However, by rigorous technical filtering and astute engineering of both marketplace capabilities and currently available components, it is possible in a few select cases to compress and, in effect, integrate advanced development (6.3), engineering development (6.4), weapon procurement (WPN), ship construction (SCN), operation and maintenance (O&M,N) budgetary categories when fleet criticalities and technology opportunities can happily meet. In short, 6.3 funds can be applied directly to ''ripe gateways'' so modern technology is inserted into existing troubled or aging systems, sidestepping the lengthy, traditional development cycle and accelerating practical payoffs to recurrent fleet problems. To produce such constructive results has required a remarkable convergence of sponsor prescience and engineering workforce excellence. The paper describes, extensively, the philosophy of approach, transition strategy, polling of fleet needs, technology assessment, and management team requirements. The process for culling and selecting specific candidate tasks for SHARP sponsorship (matching operational need with t

关键词： Naval vessels

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Analyzing Customer Churn: A Comparative Study of Machine Learning Models on Pay-TV Subscribers in Turkey

Analyzing Customer Churn: A Comparative Study of Machine Lea...

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2023 4th International Informatics and Software engineering Conference (IISEC)

作者： Tuğçe Aydın Hataş Emir Obalı Ayşenur Yıldız Sibel Kırmızıgül Çalışkan Veysel Karani Yılmaz Erkan Kara Yasemin Kurtçu Meşe Ebru Öz Tuna Çakar Information Technologies MEF University Istanbul Turkey Subscriber Retention Manager Andromeda TV Digital Plat. Op. Inc. Istanbul Turkey R&D/Design Center Specialist Andromeda TV Digital Plat. Op. Inc. Istanbul Turkey Business Intelligence Manager Andromeda TV Digital Plat. Op. Inc. Istanbul Turkey Inf. Tech. and System Network CTO Andromeda TV Digital Plat. Op. Inc. Istanbul Turkey R&D Center Manager Andromeda TV Digital Plat. Op. Inc. Istanbul Turkey CVM and Loyalty Director Andromeda TV Digital Plat. Op. Inc. Istanbul Turkey Computer Engineering MEF University Istanbul Turkey

Understanding the reasons for customer churn provides added value in terms of retaining existing customers, as customer attrition leads to revenue loss for companies and incurs marketing costs for acquiring new customers. In this study, the 6-month historical data of a Pay-TV company operating in Turkey was used, and due to the imbalanced nature of the dataset on a label basis, the oversampling method was applied. During the model development phase, various artificial learning algorithms (Random Forest, Logistic Regression, KNearest Neighbors, Decision Tree, AdaBoost, XGBoost, Extra Tree Classifier) were utilized, and their performances were compared. Based on the evaluation of success criteria for each model, it was observed that the tree-based Random Forest, Extra Tree Classifier and XGBoost achieved the highest performance for this dataset.

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AN ADVANCED METHODOLOGY FOR PRELIMINARY HULL FORM DEVELOPMENT

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NAVAL ENGINEERS JOURNAL 1984年第4期96卷 147-161页

作者： LIN, WC DAY, WG HOUGH, JJ KEANE, RG WALDEN, DA KOH, IY Wen-Chin Lin:heads the Ship Powering Division at the David Taylor Naval Ship R&D Center (DTNSRDC). Dr. Lin received his B.S. degree in mechanical engineering from the National Taiwan University in 1957. He was awarded his M.S. degree in naval architecture and Ph.D. in engineering science from the University of California at Berkeley in 1963 and 1966 respectively. From 1966 to 1969 he was employed by ESSO Research and Engineering Company to conduct marine hydrodynamic research for oil tankers and offshore structures. Since joining DTNSRDC in 1969 he has actively conducted and directed hydrodynamic research to advance naval ship design technology and improve ship performance. Active in national and international symposia on ship hydrodynamic research he is recognized for contributions to the ship research community. For the past six years he has been a member of the Performance Committee of the ITTC and currently serves as secretary of the committee. He is a member of SNAME and the Society of Naval Architects of Japan. William G. Day Jr:. has been employed as a naval architect at the David Taylor Naval Ship R&D Center since receiving a B.E.S. degree from the Johns Hopkins University in 1966. He obtained an M.S. E. degree from George Washington University in 1971. As Head Design Evaluation Branch of the Ship Performance Department he is responsible for model experiments to evaluate the hydrodynamic performance of ships and propulsors. He is a member of ASNE and SNAME. In-Young Koh:received his B.S. and M.S. degrees in electrical engineering from Lowell University in 1969 and 1971 respectively and his Ph.D. in applied mechanics from Rensselaer Polytechnic Institute in 1976. Dr. Koh joined DTNSRDC as an electronic engineer specializing in the application of advanced instrumentation and computer techniques to ship research and design. He is currently engaged in research and development of active control systems for naval ship applications. Dr. Koh is a member of ASNE SNAME and IEEE. David Andrew Walden:is

A ship design methodology is presented for developing hull forms that attain improved performance in both seakeeping and resistance. Contrary to traditional practice, the methodology starts with developing a seakeeping-optimized hull form without making concessions to other performance considerations, such as resistance. The seakeeping-optimized hull is then modified to improve other performance characteristics without degrading the seakeeping. Presented is a point-design example produced by this methodology. Merits of the methodology and the point design are assessed on the basis of theoretical calculations and model experiments. This methodology is an integral part of the Hull Form design system (HFDS) being developed for computer-supported naval ship design. The modularized character of HFDS and its application to hull form development are discussed.

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Optimization of supercritical fluid extraction of Mariposa Christia Vespertilionis leaves towards antioxidant using response surface methodology

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Journal of Physics: Conference Series 2019年第1期1349卷

作者： MAM Ariff S Tukiman NAA Razak M S Osman J Jaapar Faculty of Chemical Engineering Universiti Teknologi MARA Cawangan Pulau Pinang 13500 Permatang Pauh Penang MALAYSIA. Molecular System Design Process & Optimization Research Group (MODEPRO) Universiti Teknologi MARA Cawangan Pulau Pinang 13500 Permatang Pauh Penang MALAYSIA Faculty of Computer Science and Mathematics Universiti Teknologi MARA Cawangan Pulau Pinang 13500 Permatang Pauh Penang MALAYSIA Faculty of Chemical Engineering Universiti Teknologi MARA 40450 Shah Alam Selangor MALAYSIA.

Mariposa Christia Vespertilionis (MCV) or also known as butterfly wing leaves, is popular in the traditional medicine practice. The objective of this study is to optimize the antioxidant components (based on antioxidant activity analysis) from the MCV leaves extract using Supercritical Fluid Extraction (SFE) based on different temperature, pressure, and particle size via Response Surface Methodology (RSM). Besides that, it is also to evaluate the optimal condition of different extracting antioxidant activity from MCV leaves using design Expert 10 software. The condition range for both pressure and temperature were between 150-350 bar and 30-70 °C with constant extraction time. The size of particle samples were between 63 μm-1000 μm. The antioxidant was analyzed using UV–vis Spectrophotometer (UV-vis). The lowest antioxidant activity was 8.20 % and higher antioxidant activity was obtained at 49.76 %. Lower absorbance indicated highest free radical scavenging activities. Maximum percentage (%) indicated high scavenging activities, thus higher 1,1-diphenyl-2-picrylhydrazyl (DPPH) is a good indication for antioxidant. The predicted RSM optimal condition of antioxidant activity was at temperature 50 °C, pressure 282 bar, and particle size 500 μm, which the predicted antioxidant was 50.62 %. Upon verification through experiment, it was found out that the antioxidant activity value was close to the predicted value with an average error of less than 1%.

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Erratum to "Leading edge of the a-wave of the electroretinogram and sodium iodate-induced age-related macular degeneration: A Model" [J. Theor. Biol. 592 (2024) 01-17/111879]

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Journal of theoretical biology 2024年 593卷 111912页

作者： Deepak K Pattanaik Vasudevan Lakshminarayanan Nachieketa K Sharma Amir Prasad Sahu Siksha 'O' Anusandhan University Bhubaneswar OR 751030 India. Electronic address: pattanaikdeepak85@***. School of Optometry and Vision Science and Departments of Physics Electrical and Computer Engineering and System Design Engineering University of Waterloo Waterloo Canada. Electronic address: Vengu@uwaterloo.ca. Siksha 'O' Anusandhan University Bhubaneswar OR 751030 India. Electronic address: nachiketasharma@soa.ac.in. Centurion University of Technology and Management Bhubaneswar OR India. Electronic address: amirprasadsahoo@***.

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An accurate diagnosis of diabetes using data mining

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AIP Conference Proceedings 2022年第1期2405卷

作者： Santhana Santhanavelu Arumugam Vijayalakshmi Kuppan Viswanathan Chakravarthi Karthikeyan Palaniappan 1Centre for Artificial Intelligence and research Chennai Institute of Technology Chennai 600 069 Tamil Nadu India 2Department of Computer Science and Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai 600 062 Tamil Nadu India 3Centre for System Design Chennai Institute of Technology Chennai 600 069 Tamil Nadu India

Diabetes is a highly efficient in nearly every country that affects individuals and can contribute, although not anticipated in the initial stages, to serious complications such as stroke, kidney damage, or eventual death. Many departments concentrate to alleviate this by using multiple approaches to forecast diabetic at a preliminary phase. The clinical and drug tests depend on various available traditional methods for diagnosing diabetes. Health professionals therefore want an accurate diabetic forecasting model. Various data mining methods are useful for testing information from diverse sources to avoid diabetes at an effective time, and important experience is outlined. And use of optimization is suggested here The methods of designation for people with diabetes have been used, including the Random Forest, K - nn and Support Vector Machine. The results revealed that the supporting method of the support vector is highly reliable. The proposed framework of these different classifiers allows one to select the best methodology for interpretation of the findings collection throughout future.

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