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Lecture Notes in Electrical Engineering 2015年 343卷 283-305页

作者： Chaaban, Walid Schwarz, Michael Börcsök, Josef Department of Computer Architecture and System Programming University of Kassel Willhelmshöher Allee. 71 Kassel34121 Germany

Heterogeneous redundant series-parallel systems allow the mixing of components within the same subsystem. This diversity feature may improve the overall characteristics of the system compared with the homogeneous case in term of less susceptibility against so called common-cause failures and reduced cost. That means they guarantee longer availability and are quite suitable for systems that are designed to perform continuous processes. But the main challenging task is to determine the optimal design that corresponds to the minimal investment costs and satisfies the predefined constraints. This kind of combinatorial optimization tasks is perfectly solved using heuristic methods, since those approaches showed stability, powerfulness, and computing effectiveness in solving such matters. This task is more complex than the homogeneous case since the search space is getting larger due to the fact that every component available and that can be deployed in a subsystem has to be taken into account. This fact leads definitely to greater chromosome length and makes the search more time consuming. The algorithm has been implemented in Matlab and three different existing models (Levitin, Lisnianski, and Ouzineb) have been considered for a comparison with the homogeneous case and for validation purposes. © Springer International Publishing Switzerland 2015.

关键词： Genetic algorithms

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Text classification experiments on Mongolian language

Text classification experiments on Mongolian language

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International Forum on Strategic Technology, IFOST

作者： Zolboo Damiran Khuder Altangerel Department of lnformation System MUST-CSMS Ulaanbaatar Mongolia Department of Programming Technology MUST-CSMS Ulaanbaatar Mongolia

Text classification is an important task of assigning objects from a universe to two or more classes, especially classification is to classify the topic or the theme of a document. In this research, we have analyzed the result of an experiment on a text classification using Naive Bayesian method approaches for Mongolian language. We have training set of documents, each labeled with one of 10 classes. Since it is the first work in this field for Mongolian language no previous work results were available for comparison.

关键词： Training Economics Manganese Feature extraction Testing

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Ontological Approach to the Formal Specification of the Standard Life Cycle

Ontological Approach to the Formal Specification of the Stan...

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Science and Information Conference

作者： Ekaterina Lavrishcheva Software Engineering Department Institute for System Programming of the RAS Prof. MIPT Moscow Russia

ISBN: (纸本)9781479985487

Approach is offered to the formal specification of Standard Life Cycle (LC) of the program systems (PS) by the ontology facilities with purpose automation and generation of the variants LC for making the appropriate kinds process for development different PS. Ontological approach to presentation LC model of the standard ISO/IEC 12207-2007 is included the specification of general, organizational and support processes. These processes are presented in the subject-oriented DSL, which than transformed to XML for realization. One of the processes, the testing process is given in terms of Protégé systems. An eventual result of this system Protégé got generally at accepted to the XML, suitable for implementation tasks testing PS on computer.

关键词： ontology the life cycle standard model of life cycle processes actions task testing DSL description Protégé XML

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Vision-Based Metal Oxide Semiconductor Transistor-Level Layout Error Classification Using EfficientNet Model

Vision-Based Metal Oxide Semiconductor Transistor-Level Layo...

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2020 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2020

作者： Ilagan, Lorena Concepcion Ii, Ronnie Cabatuan, Melvin Roque, Christian University of Perpetual Help System DALTA Electronics Engineering Department Las Pinãs City Philippines De la Salle University Electronics and Communications Engineering Department Manila Philippines Center for Applied Microelectronics and Programming Inc. Muntinlupa City Philippines

ISBN: (纸本)9781728172019

In response to the emerging challenges of providing intelligent dynamic integrated circuit (IC) layout checking, computer vision in IC design and constraint engineering highlights the opportunities of computational intelligence solutions. In this study, vision-based system architecture is integrated with deep transfer learning models to classify metal oxide semiconductor (MOS) transistor cell-level layout error using one-vs-rest (OvR) multilabel classification. Two layout errors, namely missing contact layer and excess structure around the gate, are generated using the developed tool command language (TCL) script that is executed on Synopsys platform. Missing contact layer error is furtherly subcategorized to metal 1 in place and not fully placed, off positioned contact and its combination. Excess structure around the transistor gate is characterized by excess p-type implant (PIMP) and n-type implant (NIMP) with misaligned diffusion (DIFF) and polysilicon (PO) layers. Feature extraction for MOS-level error classification explored on using MobileNetV2 and EfficientNet variants. It was found that EfficientNetB7 best MobileNetV2 and other variants of EfficientNet in predicting IC layout errors based on nine error subcategories. Hamming loss was found to decrease and inference time to increase as the input image size is increased. The deep transfer network EfficientNetB7 has accuracy of 96.889 %, precision of 88.778 %, recall of 97.444 % and F1score of 91.667 in predicting transistor-level layout errors. Overall, the developed approach in predicting MOS transistor cell-level layout error using integrated computer vision and deep learning proved to be accurate and easy to be replicated for further enhancement to provide advanced layout evaluation. © 2020 IEEE.

关键词： Metals

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Author Identification - An Experiment Based on Mongolian Literature Using Decision Trees

Author Identification - An Experiment Based on Mongolian Lit...

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IEEE International Conference on Ubi-Media Computing

作者： Zolboo Damiran Khuder Altangerel Department of Information System MUST-CSMS Ulaanbaatar Mongolia Department of Programming Technology MUST-CSMS Ulaanbaatar Mongolia

Nowadays, cases of piracies, copyrights, legal disputes and allegations are increasing as far as software is concerned. In such cases it is difficult to say who is right and who is wrong between the two quarreling parties due to insufficient evidences. So, what can be done. Author identification plays a very important role in most of these cases, such as plagiarism detection, masquerade detection, software maintainability and resolving authorship disputes. In this research, we have analyzed the result of an experiment on a text classification using Decision tree method approaches for Mongolian language. We have a training set of documents, each labeled with one of 13 classes. Since it is the first work in this field for Mongolian language no previous work results were available for comparison.

关键词： Decision trees Classification algorithms Text categorization Training Accuracy Entropy Software

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AI methods of control for distributed space systems: a review 8

AI methods of control for distributed space systems: a revie...

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8th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2024

作者： Granichin, Oleg Tikhonov, Alexey Ivanskiy, Yury Kopylova, Kseniia Department of System Programming Saint Petersburg State University Saint Petersburg Russia Department of Theory and Applied Mechanics Saint Petersburg State University Saint Petersburg Russia Faculty of Ecomonic Cybernetics Saint Petersburg State University Saint Petersburg Russia

ISBN: (纸本)9798350390834

The paper is a short review of the problems arising in control of distributed systems of spacecraft due to different kinds of uncertainties and of various AI-based approaches to deal with them. The considered uncertainties are caused by external and internal disturbances of different nature. The methods to deal with the uncertainties include neural networks, fuzzy logic, evolutionary algorithms, randomized algorithms and reinforcement learning. © 2024 IEEE.

关键词： Fuzzy neural networks

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Applications of Fuzzy Logic in Recruitment systems

Applications of Fuzzy Logic in Recruitment Systems

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2022 International Conference on Information Science and Communications Technologies, ICISCT 2022

作者： Medetova, Kunduz Sultanov, Djamshid Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi Department of System and Applied Programming Tashkent Uzbekistan Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi Department of Hardware and Software of Management Systems in Telcommunications Tashkent Uzbekistan

ISBN: (纸本)9781665472296

This paper presents methods for solving problems using the method of fuzzy logic. This method serves to study the characteristics of determining the level of compliance of a candidate for an existing vacant position. When measuring compliance with database requirements based on the results of assessing compliance with the requirements of an employee for a position. The use of artificial intelligence in personnel records gives high efficiency and serves for decision making. © 2022 IEEE.

关键词： Fuzzy logic

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Securing an IoT Medical system Using AI and a Unidirectional Network Device: Application to a Driver 11

Securing an IoT Medical System Using AI and a Unidirectional...

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11th International Conference on Electronics, Communications and Networks, CECNet 2021

作者： El Hajal, Georges Daou, Roy Abi Zeid Ducq, Yves Boercsoek, Josef Univ. Bordeaux IMS Laboratory France Biomedical Technologies Department Lebanese German University Lebanon MART Learning Education and Research Center Chananir Lebanon University of Kassel Institute for Computer Architecture and System Programming Germany

ISBN: (纸本)9781643682402

Security in systems and networks has always been a major issue for IT administrators. When it comes to medical applications, this concern is much more important due to the sensitivity of data and the risks that may be caused due to alteration or falsification of such critical information. The proposed paper presents a solution to assure the best security possible in such an environment. Thus, based on an application that monitors a driver's health while driving his car, a data diode will be implemented in order to assure security of the system by forcing unidirectional flow of network data to the healthcare provider side. Added to that, an AI-based program will be developed to verify the confidentiality, the integrity and the availability of the exchanged data and to check the patient health for abnormalities. Every sub-part of the system has been tested separately and results have shown that falsified data has been filtered out of the received end, e.g. the healthcare provider side. © 2022 The authors and IOS Press.

关键词： Medical applications

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Advanced IOT Traffic Light Control system 5

Advanced IOT Traffic Light Control System

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5th International Conference on Advances in Computational Tools for Engineering Applications, ACTEA 2023

作者： Hamad, Martin Abou El Hajj, Antonio Daou, Roy Abi Zeid Hayek, Ali Haidar, Gaby Abou Lebanese German University Faculty of Public Health Biomedical Technologies Department Lebanon MART Learning Education and Research Center Lebanon University of Kassel Department of Computer Architecture and System Programming Kassel Germany American University of Science and Technology Engineering Faculty Zahle Lebanon

ISBN: (纸本)9798350309959

For several years, traffic congestion has been a major problem in big cities where the number of cars and different means of transportation has been increasing significantly. The problem of congestion is becoming more and more critical, and if not treated smartly this issue will negatively affect drivers by wasting time and fuel gas while waiting for hours in lanes. This paper presents a new and smart way to mitigate this issue in an affordable cost, minimum processing power, and low power consumption. This concept takes into consideration the majority of the cases that may cause congestion and presents a smart and accurate outputs to ease traffic flow leading to the prediction of the peak hours of traffic congestion for smarter control. A model is designed to study the case of a four lanes crossroad with two traffic lights and two LCD monitors. The strategy in reading data is divided into two parts: real data from sensors and pre collected data from google maps to create a kind of a predicted pattern over a certain time interval. The responsiveness of the system is analyzed thoroughly, and the accuracy of all possible cases is carefully considered and evaluated. Each part of the system was tested alone, and the overall system is still in an ongoing testing phase. The results have shown minimum faulty errors and accepted outputs that can lead to safe traffic control decisions. Finally, integrating more IoT devices and sensors between V2V, V2P, V2I with the help of artificial intelligence will definitely optimize this system with higher accuracy. © 2023 IEEE.

关键词： Traffic congestion

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On spatial modeling of discrete event systems using point-interval logic

On spatial modeling of discrete event systems using point-in...

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system Security and Assurance

作者： Zaidi, Abbas K. Rizvi, Kazim H. Hussain, S. Sajjad System Architectures Lab George Mason University Fairfax VA United States Department of EECS Mohammad Ali Jinnah University Karachi Pakistan Logic Programming Group Max-Planck-Institut fur Informatik Saarbrüken Germany

The paper presents a spatial logic, called PISL-2D, and an implementation of its inference engine, called SpInE. The approach can be used to represent spatial knowledge in a 2-dimensional space using a set of qualitative spatial relations. The formalism is based on a point-interval logic and a graphical representation, called Point Graphs. The graph representation is used by SpInE to verify and infer spatial knowledge.

关键词： Formal logic

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