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3rd International Conference on Advances in Computational Tools for Engineering Applications, ACTEA 2016

作者： Halabi, Nashaat El Achkar, Roger Daou, Roy Abi Zeid Hayek, Ali Borcsok, Josef Department of Computer and Communications Engineering Faculty of Engineering American University of Science and Technology Beirut Lebanon Department of Biomedical Technologies Faculty of Public Health Lebanese German University Sahel Alma Lebanon Department of Computer Architecture and System Programming Faculty of Electrical Engineering/Computer Science University of Kassel Kassel Germany

ISBN: (纸本)9781467385237

This paper aims to develop a sensor based monitoring and analyzing system for Neuro-Degenerative Disorder patients (NDD);this may consist on SpO2 sensor, Electrophysiological sensors, NIBP, Motion Capture sensors and Eye Monitoring sensor, taking into consideration an acceptable cost for the whole system. Recorded data will be sent to an embedded decision making unit where detection, analysis, classification, prediction and action control will occur. The sensors and the decision making unit will be implemented in a comfortable jacket that doesn't affect the patients' movements and that can be used by several patients with reduced sensor placement alterations. The decision that can be made is creating a stimulus to avoid falling in case of sudden stop while moving, initiating an alarm, sending a notification to a mobile phone application, and/or telemedicine monitoring features. Artificial Neural Networks will be used to classify and predict the abnormal cases where action should be taken, and since the sensors will be continuously recording, it is possible to achieve continuous learning for the ANN as a first phase. Initial models will be defined by testing normal behaviors and some known abnormal behaviors or symptoms related to the electrical activity and other characteristics of the heart, oxygen saturation level, eye activity and body motion. © 2016 IEEE.

关键词： Neural networks

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Tranquility: A low disruptive alternative to quiescence for ensuring safe dynamic updates

Tranquility: A low disruptive alternative to quiescence for ...

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作者： Vandewoude, Yves Ebraert, Peter Berbers, Yolande D'Hondt, Theo Department of Computer Science Katholieke Universiteit Leuven Celestijnenlaan 200A 3001 Heverlee Belgium Programming Technology Lab. Vrije Universiteit Brussel Plainlaan 2 B1050 Brussels Belgium

This paper revisits a problem that was identified by Kramer and Magee: placing a system in a consistent state before and after runtime changes. We show that their notion of quiescence as a necessary and sufficient condition for safe runtime changes is too strict and results in a significant disruption in the application being updated. In this paper, we introduce a weaker condition: tranquility. We show that tranquility is easier to obtain and less disruptive for the running application but still a sufficient condition to ensure application consistency. We present an implementation of our approach on a component middleware platform and experimentally verify the validity and practical applicability of our approach using data retrieved from a case study. © 2007 IEEE.

关键词： Software design

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Coloring gray-scale image using artificial neural networks

Coloring gray-scale image using artificial neural networks

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International Conference on Adaptive Science & technology (ICAST)

作者： Bekir Karlik Mustafa Sariöz Department of Computer Engineering Haliç University Istanbul Turkey Computer Technology and Programming Fatih University Istanbul Turkey

This paper presents a novel method on coloring the grayscale images. For this purpose, a combination of artificial neural networks and some image processing algorithms was developed to transfer colors from a user-selected source image to a target grayscale image. According to the results of this combining method, a survey where volunteers were asked to rate the plausibility of the colorings generated automatically was performed for individual images. In most cases automatically-colored images were rated either as totally or mostly acceptable.

关键词： Gray-scale Artificial neural networks Color Humans Pixel Image databases Motion pictures computer networks Image processing Data visualization

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Software Engineering Research and Applications 1

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丛书名： Lecture Notes in computer Science

1000年

作者： Walter Dosch Roger Y. Lee Chisu Wu

ISBN: (数字)9783540321347

ISBN: (纸本)9783540321330

It was our great pleasure to extend a welcome to all who participated in SERA 2004, the second International Conference on Software Engineering Research, Management and Applications, held at the Omni Hotel, Los Angeles, California, USA. The conference would not have been possible without the cooperation of Seoul National University, Korea, the University of Lübeck, Germany, and Central Michigan University, USA. SERA 2004 was sponsored by the International Association for computer and Information Science (ACIS). The conference brought together researchers, practitioners, and advanced graduate students to exchange and share their experiences, new ideas, and research results in all aspects (theory, applications, and tools) of Software Engineering Research and Applications. At this conference, we had keynote speeches by Barry Boehm, C.V. Ramamoorthy, Raymond Yeh, and Con Kenney. We would like to thank the publicity chairs, the members of our program committees, and everyone else who helped with the conference for their hard work and time dedicated to SERA 2004. We hope that SERA 2004 was enjoyable for all participants. Barry Boehm May 2004 Preface The 2nd ACIS International Conference on Software Engineering – Research, Management and Applications (SERA 2004) was held at the Omni Hotel in Los Angeles, California, during May 5–7, 2004. The conference particularly welcomes contributions at the junction of theory and practice disseminating basic research with immediate impact on practical applications. The SERA conference series has witnessed a short, but successful history:

关键词： Software Engineering/programming and Operating Systems Software Engineering computer Communication Networks Artificial Intelligence User Interfaces and Human computer Interaction Management of Computing and Information Systems

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Network Intrusion Detection Based on Feature Selection and Hybrid Metaheuristic Optimization

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computers, Materials & Continua 2023年第2期74卷 2677-2693页

作者： Reem Alkanhel El-Sayed M.El-kenawy Abdelaziz A.Abdelhamid Abdelhameed Ibrahim Manal Abdullah Alohali Mostafa Abotaleb Doaa Sami Khafaga Department of Information Technology 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 Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Information Systems Department College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of System Programming South Ural State UniversityChelyabinsk454080Russia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

Applications of internet-of-things(IoT)are increasingly being used in many facets of our daily life,which results in an enormous volume of *** computing and fog computing,two of the most common technologies used in IoT applications,have led to major security *** are on the rise as a result of the usage of these technologies since present security measures are *** artificial intelligence(AI)based security solutions,such as intrusion detection systems(IDS),have been proposed in recent *** technologies that require data preprocessing and machine learning algorithm-performance augmentation require the use of feature selection(FS)techniques to increase classification accuracy by minimizing the number of features *** the other hand,metaheuristic optimization algorithms have been widely used in feature selection in recent *** this paper,we proposed a hybrid optimization algorithm for feature selection in *** proposed algorithm is based on grey wolf(GW),and dipper throated optimization(DTO)algorithms and is referred to as *** proposed algorithm has a better balance between the exploration and exploitation steps of the optimization process and thus could achieve better *** the employed IoT-IDS dataset,the performance of the proposed GWDTO algorithm was assessed using a set of evaluation metrics and compared to other optimization approaches in 2678 CMC,2023,vol.74,no.2 the literature to validate its *** addition,a statistical analysis is performed to assess the stability and effectiveness of the proposed *** results confirmed the superiority of the proposed approach in boosting the classification accuracy of the intrusion in IoT-based networks.

关键词： Feature selection grey wolf optimization dipper throated optimization intrusion detection internet-of-things(IoT)

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Optimizations and Deoptimizations for Escape Analysis in Open World

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Chinese Journal of Electronics 2023年第2期19卷 211-216页

作者： Xiaohua Shi Gansha Wu Jin Maozhong Guei-Yuan Lueh School of Computer Science Beihang University Beijing China Programming System Laboratory Microprocessor Technology Labs Intel Corporation Beijing China

This paper introduced the optimization and deoptimization technologies for Escape analysis in open world. These technologies are used in a novel Escape analysis framework that has been implemented in Open runtime platform, Intel's open-source Java virtual machine. We introduced the optimization technologies for synchronization removal and object stack allocation, as well as the runtime deoptimization and compensation work. The deoptimization and compensation technologies are crucial for a practical Escape analysis in open world. We evaluated the runtime efficiency of the deoptimization and compensation work on benchmarks like SPECjbb2000 and SPECjvm98.

关键词： Java Runtime Education Medical services Benchmark testing Virtual machining Synchronization

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Dynamic Calculation and Characterization of Threshold Value in Optical Character Recognition

Dynamic Calculation and Characterization of Threshold Value ...

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International Conference on challenges in IT, Engineering and technology (ICCIET’2014, Phuket)

作者： Ay?e Eldem Fatih Ba??ift?i Department of Computer Technology and Computer Programming Technical Science Vocational High School Karamano?lu Mehmetbey University Department of Computer Engineering Faculty of Technology Selcuk University

Optical character recognition(OCR) can be used in some management mechanisms of state and business world to organize documents scanned or captured by camera. Therefore, OCR is one of the subjects rapidly evolving in the recent times. This study investigates the procedure steps until character recognition. That's because, the more correctly preprocessings are applied;the better results can be obtained in character recognition. In this study, the algorithms providing the best results are determined by following the procedure stages of gray scale transformation, noise removal and image thresholding. Binarization plays an important role in character recognition. For this reason, algorithms dynamically determine thresholds are preferred for character recognition in this study. Accordingly, Otsu thresholding method was determined to give the best results in terms of both picture quality and speed. Therefore, this method was used for character recognition. Primarily, lines were determined for character separation and then letters were individually obtained.

关键词： Image Processing OCR Thresholding Binarization Pattern Recognition

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A survey on OPC and OPC-UA: About the standard, developments and investigations

A survey on OPC and OPC-UA: About the standard, developments...

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XXII International Symposium on Information, Communication and Automation Technologies, ICAT

作者： M. H. Schwarz J. Börcsök Safety Computer Technology University of Kassel Kassel Germany Computer Architecture und System Programming University of Kassel Kassel Germany

In 1996, a new standard was announced that should serve as a software interface to exchange process data and to solve the problem to exchange process data using different industrial protocols and communication systems. A successful story started since then with few additional standards like the Alarm and Event standard using the OPC approach and some revisions and new editions. Ten years later a new approach was created that unified all existing standards and was also concerned with e.g. interoperability, security and web-based systems. This paper details the different OPC standards, tries to answer the question why this standard is important for industries and academia and where current research and development utilising those standards.

关键词： Standards Servers Security Industries XML computer architecture Automation

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A novel reduction method for type-2 uncertain normal critical values and its applications on 4D profit transportation problem involving damageable and substitute items

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International Journal of Applied and Computational Mathematics 2021年第4期7卷 1-30页

作者： Sahoo, Palash Jana, Dipak Kumar Pramanik, Sutapa Panigrahi, Goutam Department of Mathematics National Institute of Technology Durgapur Durgapur 713209 West Bengal India School of Applied Sciences & Humanities Haldia Institute of Technology Haldia Purba Midnapur 721657 West Bengal India Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar University Midnapore 721102 West Bengal India

In this paper, we developed and investigated some four-dimensional profit maximization transportation problems considering damageablity and substitutability, where the parameters are of a type-2 normal uncertain variable in nature. Here, unit transportation cost, distances of the paths, fixed charges, rate of breakability, availability, demands, capacities of conveyances, the unit selling price, unit purchasing cost, unit procurement cost are regarded as type-2 normal uncertain variables. Two models are formulated based on two separate criteria of the substitution items. We use a critical value-based reduction method to reduce type-2 normal uncertain variables into type-1 normal uncertain variables and then apply some properties of uncertainty theory to convert the profit transportation parameters into deterministic form. The two deterministic models are solved using the optimization software named LINGO -18.0. A real-life numerical example and optimal results are presented here to show the application of the proposed model and the proposed reduction method. © 2021, The Author(s), under exclusive licence to Springer Nature India Private Limited.

关键词： Critical value Four dimensional profit transportation problem Reduction method Type-2 normal uncertain variables

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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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