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7th International Conference on Computing Methodologies and Communication, ICCMC 2023

作者： Kavitha, M.N. Saranya, S.S. Santhiya, E. Swetha, D. Dharshika, R. Department of Computer Science and Engineering Kongu Engineering College TamilNadu Erode India Bachelor of Science - Computer Systems and Design Kongu Engineering College TamilNadu Erode India

ISBN: (纸本)9781665464086

The number of people in the world now is estimated to be 1.38 billion. As the population of India grows, there is a chance that there will be twice as many automobiles on the road. Numerous methods have been put out for finding and identifying the license plates of automobiles using various technologies and procedures. The license plate detection and identification accomplished in the paper is done by OpenCV and Tensor flow for the detection of the license plate. The second set makes use of CNN (Convolutional Neural Network). First, the input image has been taken and pre-processed. Next, the number plate has been detected and contours are extracted. Finally, the characters have been recognized and the model has been trained using CNN for predicting the characters in the number plate. Comparing to other TensorFlow projects, this system provides the highest accuracy. © 2023 IEEE.

关键词： Tensors

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An Ensembled Real-Time Hand-Gesture Recognition using CNN 15

An Ensembled Real-Time Hand-Gesture Recognition using CNN

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15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Kavitha, M.N. Saranya, S.S. Prasad, M. Kaviyarasu, S. Ragunath, N. Rahul, P. Kongu Engineering College Department of Computer Science and Design Tamilnadu Erode India PSG Institute of Technology and Applied Research Department of Computer Science and Engineering Tamilnadu Coimbatore India Controller of Examinations Tamilnadu Namakkal India Kongu Engineering College Bachelor of Science - Information Systems Tamilnadu Erode India

ISBN: (纸本)9798350370249

Hand sign recognition is a vital technology in the human-computer interaction, enabling individuals to communicate with machines naturally and effectively. An innovative approach for real-time hand sign identification with the help of CNN and OpenCV is introduced with the fusion of computer vision and deep learning that can accurately interpret and classify an extensive range of hand signs and gestures. This research contributes significantly to the fields of computer vision and human-computer interaction, offering a practical and efficient solution for hand sign recognition. The combination of CNN and OpenCV presents a promising avenue for enhancing accessibility and communication, especially in environments where verbal communication is limited or non-existent. The model is trained with multiple data so that the system can recognize the hand gestures more precisely. Pre-trained architectures like ResNet and MobileNet are combined with the CNN model using ensemble learning and the performance is improved when compared to all the three CNN architectures individually. The ensemble model provides better accuracy of 96 %. The potential applications of this technology are vast, from assisting the hearing-impaired in understanding sign language to more immersive and intuitive interactions. Overall, the approach holds the promise of bridging the gap between human gestures and machine understanding, opening new doors for meaningful interactions between individuals and intelligent systems. © 2024 IEEE.

关键词： Intelligent systems

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An Ensembled Real-Time Hand-Gesture Recognition using CNN

An Ensembled Real-Time Hand-Gesture Recognition using CNN

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International Conference on Computing and Networking Technology (ICCNT)

作者： M N Kavitha S S Saranya M Prasad S Kaviyarasu N Ragunath P Rahul Department of Computer Science and Design Kongu Engineering College Erode TamilNadu India Department of Computer Science and Engineering PSG Institute of Technology and Applied Research Coimbatore TamilNadu India Controller of Examinations K S Rangasamy College of Arts and Science (Autonomous) Namakkal TamilNadu India Bachelor of Science – Information Systems Kongu Engineering College Erode TamilNadu India

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370270

关键词： Human computer interaction Deep learning computer vision Sign language Neural networks computer architecture Real-time systems Data models Ensemble learning Intelligent systems

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TRACKING CONTROL IN THE PRESENCE OF NONLINEAR DYNAMIC FRICTIONAL EFFECTS: ROBOT EXTENSION

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Asian Journal of Control 2008年第3期1卷

作者： M. Feemster D.M. Dawson A. Behal W. Dixon Matthew Feemster received the B.S degree in Electrical Engineering from Clemson University Clemson South Carolina in December 1994. Upon graduation he remained at Clemson University and received the M.S. degree in Electrical Engineering in 1997. During this time he also served as a research/teaching assistant. His research work focused on the design and implementation of various nonlinear control algorithms with emphasis on the induction motor and mechanical systems with friction present. He is currently working toward his Ph.D. degree in Electrical Engineering at Clemson University. Darren M. Dawson was born in 1962 in Macon Georgia. He received an Associate Degree in Mathematics from Macon Junior College in 1982 and a B.S. Degree in Electrical Engineering from the Georgia Institute of Technology in 1984. He then worked for Westinghouse as a control engineer from 1985 to 1987. In 1987 he returned to the Georgia Institute of Technology where he received the Ph.D. Degree in Electrical Engineering in March 1990. During this time he also served as a research/teaching assistant. In July 1990 he joined the Electrical and Computer Engineering Department and the Center for Advanced Manufacturing (CAM) at Clemson University where he currently holds the position of Professor. Under the CAM director's supervision he currently leads the Robotics and Manufacturing Automation Laboratory which is jointly operated by the Electrical and Mechanical Engineering departments. His main research interests are in the fields of nonlinear based robust adaptive and learning control with application to electro-mechanical systems including robot manipulators motor drives magnetic bearings flexible cables flexible beams and high-speed transport systems. Aman Behal was born in India in 1973. He received his Masters Degree in Electrical Engineering from Indian Institute of Technology Bombay in 1996. He is currently working towards a Ph.D in Controls and Robotics at Clemson University. His research focuses on the control of no

In this paper, we extend the observer/control strategies previously published in [25] to an n -link, serially connected, direct drive, rigid link, revolute robot operating in the presence of nonlinear friction effects modeled by the Lu-Gre model. In addition, we also present a new adaptive control technique for compensating for the nonlinear parameterizable Stribeck effects. Specifically, an adaptive observer/controller scheme is developed which contains a feedforward approximation of the Stribeck effects. This feedforward approximation is used in a composite controller/observer strategy which forces the average square integral of the position tracking error to an arbitrarily small value. Experimental results are included to illustrate the performance of the proposed controllers.

关键词： Friction compensation nonlinear control

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Decision-aid system for survivability of damaged conventional military submarines

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NAVAL ENGINEERS JOURNAL 2002年第4期114卷 21-30页

作者： Lee, D Lee, J Lee, KH DONGKON LEE has served as a research engineer in Korea Research Institute of Ships and Ocean Engineering(KRISO)/KORDI for 19 years. He obtained his Ph.D in naval architecture at Pusan National University Korea in 1995. His current research interests include artificial intelligence maritime safety damage survivability evacuation and computer simulation. He is a member of the American Society of Naval Engineers Society of Naval Architects of Korea Korea Information Science Society and Korea Intelligent Information System. JAEYONG LEE has served as an engineering duty officer a commander in Korea Naval Sea Systems Command for 20 years. He graduated from Korea Naval Academy in 1979 with a bachelor of science degree in electric engineering. He received a master of engineering degree in industrial engineering from Yeonse University in 1997 and a master of engineering degree in naval architecture from Chungnam National University in 2000. His current research interests include design and safety of submarine. KYUNG-HO LEE has served as a research engineer in Korea Research Institute of Ships and Ocean Engineering(KRISO)/KORDI for 11 years. He obtained his Ph.D in naval architecture at Seoul National University in 1998. His current research interests include artificial intelligence maritime safety and concurrent engineering. He is a member of the Society of Naval Architects of Korea

AEven small leakage in submarines can lead to serious consecutive damage, since they operate under high water pressure. Such leakage including damage to piping and the bull eventually result in human casualties and loss of expensive equipment as well as the loss of combat capabilities. In such cases, a decision-making system is necessary to respond immediately to the damage in order to maintain the safety or the survival of the submarine. So it is necessary to have an automatic system that can generate responses and give advice to the operator on bow to make decisions to maintain the survivability of the damaged vessel. In this paper a knowledge-based decision support system for submarine safety is developed. The domain knowledge is acquired from submarine design documents, design expertise, and interviews with operators. The knowledge consists of responses regarding damage of the pressure bull and piping systems. Expert elements are deduced to obtain the decision from the knowledge base, and the system makes recommendations on bow to cope with damage to the bull and piping and whether the submarine should stay in the sea or to surface. It is demonstrated that the developed system is well simulated to the real situation through sample applications.

关键词： Submarines

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Developing a prototype concurrent design tool for composite topside structures

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NAVAL ENGINEERS JOURNAL 1997年第3期109卷 279-290页

作者： Dirlik, S Hambric, S Azarm, S Marquardt, M Hellman, A Bartlett, S Castelli, V Steve Dirlik:began his career at the Naval Surface Warfare Center Carderock Division in 1981 as an aerospace engineer co-op student. He completed his bachelor of science degree in aeropace and ocean engineering from Virginia Polytechnic Institute and State University in 1985 and his master of science degree in aerospace engineering from the University of Maryland in 1990. Mr. Dirlik recently completed a master of science program in applied physics at The Johns Hopins University and currently works in the Radar Cross Section and Target Physics Branch of the Signatures Directorate at the Naval Surface Warfare Center Corderoke Division. He has worked on Navy low observable programs since 1990. Stephen Hambric:is a research associate at the Applied Research Laboratory at The Pennsylvania State University. He received his B. S. and M.S. degree in mechanical engineering from Virginia Polytechnic Institute and State University and his D. Sc. in mechnical engineering from the George Washington University. He has worked on several computer aided multidiscikplinary design and optimization projects over the years including an automated propeller design system and a structural acoustic optimization capability. Dr. Shpour Azarm:is currently working as an associate professor with the Design and Manufacturing Group of the Department of Mechanical Engineering at the University of maryland at College Park. Dr Azarm's expertise is in the areas of optimization-based designed and concurrent design and optimization of multidisciplinary systems. He was a consultant at Black & Decker Corporation (summer 1996) and worked as a Navy senior summer faculty fellow (summer 1995) and a NASA summer faculty fellow (summer 1994). He was a visiting scientist at NASA Langley Research Center for Multidisciplinary Analysis and Applied Structural Optimzatiom at the University of Siegen in Germany (spring 1992) and the Design Institute of the Technical University of Denmark (summer 1990). Dr Azarm was an associate technical editor of the ASME Jour

A prototype concurrent engineering tool has been developed for the preliminary design of composite topside structures for modern navy warships. This tool, named GELS for the Concurrent Engineering of Layered Structures, provides designers with an immediate assessment of the impacts of their decisions on several disciplines which are important to the performance of a modern naval topside structure, including electromagnetic interference effects (EMI), radar cross section (RCS), structural integrity, cost, and weight. Preliminary analysis modules in each of these disciplines are integrated to operate from a common set of design variables and a common materials database. Performance in each discipline and an overall fitness function for the concept are then evaluated. A graphical user interface (GUI) is used to define requirements and to display the results from the technical analysis modules. Optimization techniques, including feasible sequential quadratic programming (FSQP) and exhaustive search are used to modify the design variables to satisfy all requirements simultaneously. The development of this tool, the technical modules, and their integration are discussed noting the decisions and compromises required to develop and integrate the modules into a prototype conceptual design tool.

关键词： Warships

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Influence of human engineering on manning levels and human performance on ships

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NAVAL ENGINEERS JOURNAL 1997年第5期109卷 67-76页

作者： Anderson, DE Oberman, FR Malone, TB Baker, CC David E. Anderson:has a bachelor of science degree in environmental engineering from Florida Technological University and a master's degree in environmental engineering from the University of Central Florida. He is a graduate of the Naval Sea Systems Command's Engineer-In-Training (EIT) Program. Mr. Anderson was instrumental in introducing the collective protection system (CPS) in the U.S. Navy developing the initial forward-fit package for the USS Gunston Hall and the engineering change proposal (ECP) for the USS Wasp. In 1990 he joined the Human Systems Integration (HSI) Division (SEA 55W5) where he was task leader for auxiliary ships. He is currently the HSI manager for the future technology variant of the SeaLift ship and the future carrier. Association of Scientists and Engineers 33rdAnnual Technical Symposium 26 April 1996. Fred R. Oberman:has B.A. and M.A. degrees from the University of Chicago and Loyola University (experimental psychology) and an M.S. degree in industrial engineering and operations research from Virginia Polytechnic Institute (VPI). He has more than 30 years experience in HSI management planning research analysis design and testing in government and private sector positions. He is currently responsible for NavSea HSI generic research and tool development efforts. He is responsible for Human Engineering Specifications and Standards (Commercial Hypertext) and is the NavSea 03D7 representative on HSI in Performance Specifications and for integration of HSI within Integrated Logistic Support (ILS). He has served as DoD HSI SubTAG chair and member of the Simulation and Modeling Test and Evaluation Display and Control Systems Human Computer Interaction Specifications and Standards and Systems Design Sub Tags as a member of the Society of Naval Architects and Marine Engineers (SNAME) Systems Safety Panel and a member of NATO RSG 14 on man-machine analysis. Thomas B. Malone: CHFEP received a Ph.D. in experimental psychology from Fordham University in 1964. He is president of Carlow

The objectives of Human Engineering (HE) are generally viewed as increasing human performance, reducing human error, enhancing personnel and equipment safety, and reducing training and related personnel costs. There are other benefits that are thoroughly consistent with the direction of the Navy of the future, chief among these is reduction of required numbers of personnel to operate and maintain Navy ships. The Naval Research Advisory Committee (NRAC) report on Man-Machine Technology in the Navy estimated that one of the benefits from increased application of man-machine technology to Navy ship design is personnel reduction as well as improving system availability, effectiveness, and safety The objective of this paper is to discuss aspects of the human engineering design of ships and systems that affect manning requirements, and impact human-performance and safety The paper will also discuss how the application of human engineering leads to improved performance, and crew safety, and reduced workload, all of which influence manning levels. Finally, the paper presents a discussion of tools and case studies of good human engineering design practices which reduce manning.

关键词： Human engineering

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DETERMINATION OF EXTREME SEAS ENCOUNTERED BY OPERATIONAL SHIPS

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NAVAL ENGINEERS JOURNAL 1995年第3期107卷 197-215页

作者： ZAHN, PB GRIM, M Mr. Zahn received a B.S. degree in Naval Architecture and Marine Engineering from Webb Institute in 1980 and has published various papers on offshore systems computer tools for engineering and operations and icebreaker design and performance. He is a member of ASNE and SNAME Mr. Grim received a Bachelor of Science in Ocean Engineering from Virginia Polytechnic Institute and State University in 1992. He is a member of SNAME

In March of 1993, components of a CVN Battle Group deploying to the Mediterranean encountered heavy seas in the area between Norfolk and Bermuda, This was the storm referred to in the press as The Blizzard of '93. The ships involved reported damage as a result of wave action, but continued their transit without incident and with full mission capability intact. In order to investigate the damage, it was necessary to determine what the encountered wave conditions were. Because the probable time of damage was at night, with no visual observations available, as well as because of the large variations in reported conditions, it was decided that other methods would be investigated to determine the actual conditions encountered. Four data sources were used in an attempt to determine the encountered wave conditions. This paper describes the data sources, the comparison of the data, and the conclusion that, while severe, the conditions are not likely to represent the lifetime maximum for design.

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THERE ARE NO IN-SITU METHODS

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GROUND WATER MONITORING AND REMEDIATION 1994年第4期14卷 120-123页

作者： NYER, EK SCHAFER, DC Evan K. Nyer is an expert in the research and application of technology to ground water cleanup. As vice president of technical resources with Geraghty & Miller Inc. (1099–18th St. Ste. 2100 Denver CO 80202) he is responsible for maintaining and expanding Geraghty & Miller's technical expertise in geology/hydrogeology engineering modeling risk assessment bioremediation and many other areas. He also provides expertise in engineering services including the design of treatment systems for contaminated water sites throughout the United States. He has designed and installed more than 100 ground water and soil remediation systems. He is a member of the Water Pollution Control Federation the National Ground Water Association the American Institute of Chemical Engineers and the American Society of Civil Engineers. David C. Schafer is a principal scientist/associate with Geraghty & Miller Inc. He attended the University of Minnesota where he obtained a bachelor's degree in mathematics and a master's degree in computer science. Prior to joining Geraghty & Miller he worked for a major water well equipment manufacturer for 19 years. Throughout his career he has specialized in the design of monitoring and production wells and the analysis and interpretation of pumping test data. He has written numerous articles on these subjects and has designed and analyzed pumping tests from hundreds of wells throughout North America.

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VES design - USING SIMPLE OR SOPHISTICATED design METHODS

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GROUND WATER MONITORING AND REMEDIATION 1994年第3期14卷 101-104页

作者： NYER, EK MACNEAL, RW SCHAFER, DC Evan K. Nyer is an expert in the research and application of technology to ground water cleanup. As vice president of technical resources with Geraghty & Miller Inc. (1099–18th St. Ste. 2100 Denver CO 80202) he is responsible for maintaining and expanding Geraghty & Miller's technical expertise in geology/hydrogeology engineering modeling risk assessment bioremediation and many other areas. He also provides expertise in engineering services including the design of treatment systems for contaminated water sites throughout the United States. He has designed and installed more than 100 ground water and soil remediation systems. He is a member of the Water Pollution Control Federation the National Ground Water Association the American Institute of Chemical Engineers and the American Society of Civil Engineers. Robert W. Macneal is a staff engineer with Geraghty & Miller Inc. with five years of experience in environmental consulting. He specializes in applying mathematical models to study saturated flow and transport processes in support of remediation design and risk evaluation. He conducts analyses to design and optimize soil venting bioventing air sparging and ground water recovery systems. He is a member of the Association of Ground Water Scientists and Engineers and the American Society of Civil Engineers. David C. Schafer is a principal scientist/associate with Geraghty & Miller Inc. He attended the University of Minnesota where he obtained a bachelor's degree in mathematics and a master's degree in computer science. Prior to joining Geraghty & Miller he worked for a major water well equipment manufacturer for 19 years. Throughout his career he has specialized in the design of monitoring and production wells and the analysis and interpretation of pumping test data. He has written numerous articles on these subjects and has designed and analyzed pumping tests from hundreds of wells throughout North America.

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