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PERFORMANCE TESTING OF SHIPBOARD ELECTRONIC systems

NAVAL ENGINEERS JOURNAL 1993年第3期105卷 118-124页

作者： HARDER, G MARTIN, RA PE George Harder:is an electronics engineer for Naval Undersea Warfare Center Detachment Norfolk's Electromagnetic Engineering Branch located at the Norfolk Shipboard Electronic Systems Evaluation Facility (SESEF) site. He is responsible for fleet electromagnetic readiness (FEMR) inspections on board Navy ships and provides computer programming support to SESEF. Mr. Harder has a bachelor of science degree in electrical engineering from the University of Florida and has qualified for his professional engineering license in the state of Virginia. Robert A. Martin:is a supervisor electronics engineer employed by the Naval Undersea Warfare Center Detachment Norfolk. He functions as the branch head for the Electromagnetic Engineering Office which is responsible for the operation of the Norfolk Shipboard Electronic Systems Evaluation Facility (SESEF) and the Fleet Electromagnetic Readiness (FEMR) Program. Mr. Martin received a bachelor of science degree in electrical engineering from the University of Akron.

Performance evaluation of shipboard electronic systems entails debugging the systems in a laboratory environment, placing them in service and relving on svstem operators to provide feedback. General testing can be performed at selected sites by system designers, but each site where equipment is to be installed can offer unique problems. It is impossible to predict all the scenarios. Unique problems are more the rule than the exception when equipment is destined for Navy ships. Ship deployments make for difficult logistics when sending test teams to evaluate system failures. So, out of necessity, if newly installed equipment receives the proper inputs and generates the proper outputs, it is accepted and becomes the sailor's responsibilitv to maintain. In cases where documentation is ambiguous or incomplete, it is left to the sailor's ingenuity to continue testing and training on equipment. This is generallv obtained through computer simulations and back-to-back testing which can provide results for ideal conditions, but does not take the dynamics of interference into account. Remote site testing is the only way to get a true representation of equipment performance and training problems. Electronic system operators on board Navy vessels are fortunate, thev have help. There exists an organization available near major naval ports worldwide whose existence is to test electronic systems performance. The testing utilizes electronic systems as they would normally be configured for operations. This organization is the Shipboard Electronic Svstem Evaluation Facility (SESEF).

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Data Poisoning: Issues, Challenges, and Needs 7

Data Poisoning: Issues, Challenges, and Needs

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7th IET Smart Cities Symposium, SCS 2023

作者： Aljanabi, Mohammad Omran, Alaa Hamza Mijwil, Maad M. Abotaleb, Mostafa El-Kenawy, El-Sayed M. Mohammed, Sahar Yousif Ibrahim, Abdelhameed Department of computer College of Education Aliarqai university Baghdad Iraq University of information technology and communications Baghdad Iraq Computer Techniques Engineering Department Baghdad College of Economic Sciences University Baghdad Iraq Department of System Programming South Ural State University Chelyabinsk Russia Department of Communications and Electronics Delta Higher Institute of Engineering and Technology Egypt Computer Science Department Computer Science &Information Technology College Anbar University Anbar Iraq Computer Engineering and Control Systems Department Faculty of Engineering Mansoura University Mansoura Egypt

ISBN: (纸本)9781839539831

Data poisoning attacks, where adversaries manipulate training data to degrade model performance, are an emerging threat as machine learning becomes widely deployed in sensitive applications. This paper provides a comprehensive overview of data poisoning including attack techniques, adversary incentives, impacts on security and reliability, detection methods, defenses, and key research gaps. We examine label flipping, instance injection, backdoors, and other attack categories that enable malicious outcomes ranging from IP theft to accidents in autonomous systems. Promising detection approaches include statistical tests, robust learning, and forensics. However, significant challenges remain in translating academic defenses like adversarial training and sanitization into practical tools ready for operational use. With safety and trustworthiness at stake, more research on benchmarking evaluations, adaptive attacks, fundamental tradeoffs, and real-world deployment of defenses is urgently needed. Understanding vulnerabilities and developing resilient machine learning pipelines will only grow in importance as data integrity is fundamental to developing safe artificial intelligence. © The Institution of Engineering & Technology 2023.

关键词： Machine learning

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THE GEOGRAPHY OF URBAN COMMUTING FIELDS - SOME EMPIRICAL-EVIDENCE FROM NEW ENGLAND

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PROFESSIONAL GEOGRAPHER 1981年第2期33卷 182-188页

作者： PLANE, DA DAVID A. PLANE Assistant Professor of Geography and Regional Development at the University of Arizona received his doctorate in regional science from the University of Pennsylvania. His main research interests are population and transport models settlement systems and spatial interaction theory. I would like to thank Daniel R. Vining Jr. for providing indefatigable encouragement and practical constructive criticism Stephen Gale for stimulating my thinking about regions Richard Forstall and Andrew Isserman for making numerous thoughtful comments on later drafts of the paper and Thomas Elwertowski for sharing unselfishly his computer programming expertise.

Cities have become increasingly interdependent. Yet we continue to think of the urban landscape in terms of mutually exclusive, monocentric regions. Data from New England suggest a richer, overlapping geography of metropolitan-area commuting fields. New ways of conceptualizing flow-based systems are needed to understand urban settlement patterns better.

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Customs Fraud Detection Method Based on Artificial Intelligence and Data Analytics

Customs Fraud Detection Method Based on Artificial Intellige...

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Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), International Conference on

作者： Veska Gancheva George Popov Ognyan Nakov Kamelia Raynova Antoaneta Popova dept. of Programming and Computer Technologies Technical University of Sofia Sofia Bulgaria dept. of Cybersecurity Technical University of Sofia Sofia Bulgaria dept. of Computer Systems Technical University of Sofia Sofia Bulgaria dept. of Information Technologies in Industry Technical University of Sofia Sofia Bulgaria

ISBN: (数字)9798350391183

ISBN: (纸本)9798350391190

Because of the increased market opening and massive data collection brought about by globalization, the need of maintaining control over customs procedures has increased. However, the integration and processing of customs data are complicated by its extreme imbalance. Finding autonomous, computationally sophisticated solutions for customs handling is therefore crucial. The study described in this paper aims to propose an artificial intelligence-based method for customs fraud detection through data analytics. A machine learning-based approach for detecting customs fraud is proposed. The research methodology includes data preprocessing, data analytics, combining results, and deriving precise solutions from results obtained. The aim is to extract meaningful information from a dataset. For the purpose of classifying customs fraud, seven algorithms for machine-learning-kNN, SGD, Constant, Logistic Regression, Random Forest, Neural Network, and Naive Bayes-are chosen and empirically assessed.

关键词： Training Analytical models Logistic regression Data analysis Neural networks Data models Fraud Bayes methods Data mining Random forests

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Revealing academic web interlinking motives through webometrics and statistical techniques: Nigerian university websites as a case study

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International Journal of Web Engineering and Technology 2016年第4期11卷 335-350页

作者： Nwohiri, Anthony M. Pechnikov, Andrey A. Department of Programming Technologies Faculty of Applied Mathematics and Control Processes St. Petersburg State University 7-9 Universitetskaya Naberezhnaya St. Petersburg199034 Russia Laboratory for Telecommunications Systems Institute of Applied Mathematical Research Karelian Research Centre Russian Academy of Sciences Russia 11 Pushkinskaya Street Petrozavodsk Karelia Rep.185910 Russia

The websites of the universities of Africa's most populous country Nigeria were examined. The goal was to unearth the reasons why external hyperlinks are placed on these sites and identify any peculiarities by geographical location. Academic website interlinking motivations were formulated. Over 6,000 hyperlinks placed on the websites of 86 Nigerian universities were categorised under these interlinking motivations. Categorising the motivations by examining the source and target pages of each hyperlink was an arduous task. Statistical analysis offered a clearer picture of the interlinking motives. A chi-squared test revealed distinctive features, which are characteristic of specific geographical regions of Nigeria. The study serves as a route to further research on feasibility of findings in other developing countries. Results obtained could be of great importance for academic webpage developers and authors. The results could modify their work towards improving the use of hyperlinks as a major communication tool on the web. Copyright © 2016 Inderscience Enterprises Ltd.

关键词： Data mining

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Using cellular automata for parallel simulation of laser dynamics with dynamic load balancing

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International Journal of High Performance systems Architecture 2008年第4期1卷 251-259页

作者： Guisado, J.L. de Vega, F. Fernández Jiménez-Morales, F.J. Iskra, K.A. Sloot, P.M.A. Departamento de Arquitectura y Tecnología de Computadores Universidad de Sevilla ETS Ingeniería Informática Avda. Reina Mercedes s/n. 41012 Sevilla Spain Centro Universitario de Mérida Universidad de Extremadura Sta. Teresa Jornet 38 06800 Mérida Badajoz Spain Departamento de Física de la Materia Condensada Universidad de Sevilla P.O. Box 1065 41080 Sevilla Spain Argonne National Laboratory Mathematics and Computer Science Division 9700 South Cass Avenue Argonne IL 60439 United States Section Computational Science Laboratory for Computing Systems Architecture and Programming University of Amsterdam Kruislaan 403 1098 SJ Amsterdam Netherlands

We present an analysis of the feasibility of executing a parallel bioinspired model of laser dynamics, based on cellular automata (CA), on the usual target platform of this kind of applications: a heterogeneous non-dedicated cluster. As this model employs a synchronous CA, using the single program, multiple data (SPMD) paradigm, it is not clear in advance if an appropriate efficiency can be obtained on this kind of platform. We have evaluated its performance including artificial load to simulate other tasks or jobs submitted by other users. A dynamic load balancing strategy with two main differences from most previous implementations of CA based models has been used. First, it is possible to migrate load to cluster nodes initially not belonging to the pool. Second, a modular approach is taken in which the model is executed on top of a dynamic load balancing tool - the Dynamite system - gaining flexibility. Very satisfactory results have been obtained, with performance increases from 60% to 80%. Copyright © 2008, Inderscience Publishers.

关键词： Cellular automata

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Review: Object-Oriented programming in Java

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ITNOW 1998年第4期40卷 31-31页

作者： Martin West IBM European Object Technology Practice Chairman BCS Object-Oriented Programming & Systems Specialist Group

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Hybrid Dipper Throated and Grey Wolf Optimization for Feature Selection Applied to Life Benchmark Datasets

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Computers, Materials & Continua 2023年第2期74卷 4531-4545页

作者： Doaa Sami Khafaga El-Sayed M.El-kenawy Faten Khalid Karim Mostafa Abotaleb Abdelhameed Ibrahim Abdelaziz A.Abdelhamid D.L.Elsheweikh Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Department of System Programming South Ural State UniversityChelyabinsk454080Russia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Department of Computer Science Faculty of Specific EducationMansoura UniversityEgypt

Selecting the most relevant subset of features from a dataset is a vital step in data mining and machine *** feature in a dataset has 2n possible subsets,making it challenging to select the optimum collection of features using typical *** a result,a new metaheuristicsbased feature selection method based on the dipper-throated and grey-wolf optimization(DTO-GW)algorithms has been developed in this *** can result when the selection of features is subject to metaheuristics,which can lead to a wide range of ***,we adopted hybrid optimization in our method of optimizing,which allowed us to better balance exploration and harvesting chores more *** propose utilizing the binary DTO-GW search approach we previously devised for selecting the optimal subset of *** the proposed method,the number of features selected is minimized,while classification accuracy is *** test the proposed method’s performance against eleven other state-of-theart approaches,eight datasets from the UCI repository were used,such as binary grey wolf search(bGWO),binary hybrid grey wolf,and particle swarm optimization(bGWO-PSO),bPSO,binary stochastic fractal search(bSFS),binary whale optimization algorithm(bWOA),binary modified grey wolf optimization(bMGWO),binary multiverse optimization(bMVO),binary bowerbird optimization(bSBO),binary hysteresis optimization(bHy),and binary hysteresis optimization(bHWO).The suggested method is superior 4532 CMC,2023,vol.74,no.2 and successful in handling the problem of feature selection,according to the results of the experiments.

关键词： Metaheuristics dipper throated optimization grey wolf optimization binary optimizer feature selection

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Understanding the Relationship of VPN and SSL

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EDPACS 2006年第6期28卷 1-2页

作者： Michael Hines The Coordinator of Data Systems and Programming for the Schools of Engineering at Purdue University in West Lafayette Indiana. He has 35 years of combined IS audit and computing experience. Hines holds a B.S. in engineering and an MS in computer science and has completed additional coursework in management science in the Krannert Graduate School. He is active in the Central Indiana Chapter of ISACA and the Association of

T he VPN and SSL were both designed to negotiate telecom-munication security. The VPN is the Virtual Private Network; the SSL is the Secure Socket Layer or, more properly, Transport Layer Security.

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Problems of Designing the Information systems for the Quality Monitoring of Protective Consortive Ecotones

Problems of Designing the Information Systems for the Qualit...

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International Conference on CAD systems in Microelectronics (CADSM)

作者： Anatoliy Obshta Mykola Prodaniuk Ihor Kohut Maria Ruda Iryna Soroka Department of Computational Mathematics and Programming Lviv Polytechnic National University Lviv Ukraine Department of Information Systems and Networks Lviv Polytechnic National University Lviv Ukraine Department of Environmental Safety and Nature Protection Activity Lviv Polytechnic National University Lviv Ukraine Department of Project Management Lviv Polytechnic National University Lviv Ukraine

We analyzed the methods and means of quality monitoring of the functioning of natural protective forest stands along the railroad tracks. On the basis of experimental studies, we identified the factors of horizontal and vertical structure of protective consortive ecotones (PCE), influencing the effectiveness of protection of the railroad tracks and the natural environment as a whole. We propose structures of basic modules for the quality monitoring system over the functioning of the PCE along the railroad tracks on the basis of the generalized structure of information systems (IS), smart measuring instruments of which can be automatically synthesized by MEMS technology. There was developed a mathematical model of tree diameter growth taking into account the effect of photosynthesis, which will allow predicting the index of PCE condition.

关键词： Monitoring Ecosystems Forestry Rail transportation Information systems Task analysis Organizations

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