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Interface for Intelligence Computing Design and Option of Technical Systems

Intelligent Control and Automation 2015年第4期6卷 289-294页

作者： Javanshir Mammadov Tarana Tagiyeva Akhmedova Sveta Aliyeva Arzu Department of “Information Technology and Programming” of Sumgait State University Sumqayit Azerbaijan

As a result of analysis of the existent methods and tools of computer aided design of the technical systems of many industrial areas, the primary purpose of the article that consists in the decision of different project problems within the framework of one programmatic system with the use of comfortable programmatic interface is certain. Architecture of the program interface for computer designing and option of technical systems of different industrial areas on the basis of stage-by-stage automated designing principles with using programmatic and informative supports is worked out. In the article, the problem of computer designing, searching and option of elements of manipulator for flexible manufacture module is considered. As a method of logical simulation of the problem, production model of designing procedures of the program interface and intelligence option of a manipulator, its technical parameters are developed. On the basis of algorithmic scheme of searching, the option of a manipulator from data base is worked out.

关键词： Computer-Aided Design Design Stages Production Model Programmatic Interface

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Inferring semantic interfaces of data structures

Inferring semantic interfaces of data structures

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5th International Symposium on Leveraging Applications of Formal Methods, Verification and Validation: Technologies for Mastering Change, ISoLA 2012

作者： Howar, Falk Isberner, Malte Steffen, Bernhard Bauer, Oliver Jonsson, Bengt Technical University Dortmund Department of Programming Systems Dortmund D-44227 Germany Dept. of Information Technology Uppsala University Sweden

ISBN: (纸本)9783642340253

In this paper, we show how to fully automatically infer semantic interfaces of data structures on the basis of systematic testing. Our semantic interfaces are a generalized form of Register Automata (RA), comprising parameterized input and output, allowing to model control- and data-flow in component interfaces concisely. Algorithmic key to the automated synthesis of these semantic interfaces is the extension of an active learning algorithm for Register Automata to explicitly deal with output. We evaluated our algorithm on a complex data structure, a "stack of stacks", the largest of which we could learn in merely 20 seconds with less than 4000 membership queries, resulting in a model with rougly 800 nodes. In contrast, even when restricting the data domain to just four values, the corresponding plain Mealy machine would have more than 109 states and presumably require billions of membership queries. © 2012 Springer-Verlag.

关键词： Data structures

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Optics in computer architectures: Basis of WDM, technologies and potentials

Optics in computer architectures: Basis of WDM, technologies...

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2nd International Conference on Systems, ICONS 2007

作者： Wang, Y. Kusserrow, T. Irmer, S. Hasse, A. Bartels, M. Dharmarasu, N. Hillmer, H. Börcsök, J. Mikami, O. University of Kassel Kassel Germany Department of Computer Architecture and System Programming University of Kassel Germany Department of Information Telecommunication and Electronics School of Information Science and Technology Tokai University Hiratsuka-shi Japan

ISBN: (纸本)0769528074

We present novel concepts, technologies and potentials of optical data communication, especially for future computer architectures. The WDM (wavelength division multiplexing) and the optical wiring technologies are explained in detail. Experimental results of tunable optical filters, which play a major role in WDM systems, are reported. New concepts for novel optical interconnectors and novel miniaturized lasers for direct generation of green light are proposed as examples for possible next generation components to improve the performance of optical communication based computer architecture. © 2007 IEEE.

关键词： Computer architecture

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The Problem of Morphological Synthesis and Methods, Algorithms for Handling Errors in Word Forms 3

The Problem of Morphological Synthesis and Methods, Algorith...

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3rd IEEE International Conference on Problems of Informatics, Electronics and Radio Engineering, PIERE 2024

作者： Kochkonbaeva, Buazhar O. Egemberdieva, Julduz S. Satybaev, Abdugany D. Osh State University Department of Information Technology and Programming Osh Kyrgyzstan Kyrgyz-Uzbek International University after named B. Sydykov Department of Information Technology Osh Kyrgyzstan Osh Technological University after named academican M.M. Adyshev Department of Information Technology and Management Osh Kyrgyzstan

ISBN: (纸本)9798331516321

Morphological synthesis is a key aspect of natural language processing that focuses on the generation of word forms from their base components - roots, stems, prefixes, affixes, and inflectional morphemes. It plays a crucial role in understanding and generating various grammatical forms of words in different languages. This process is essential for tasks such as machine translation, speech synthesis, text generation, and information retrieval. In agglutinative languages, words are formed by stringing together affixes that each represent a single grammatical function. Each morpheme retains its distinct meaning and function, making synthesis relatively predictable. In this article, using Kyrgyz as an example, we have examined the rules governing the attachment of affixes to words and assessed whether these affixes are correctly attached or if there are issues with morphological synthesis. This is, of course, a very topical issue. Because the first step in the problems of artificial intelligence is to pay attention to the features and ways of language creation. © 2024 IEEE.

关键词： Natural language processing systems

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Comprehensive curriculum of programming for engineers, its teaching models and in-lab monitoring technique

Comprehensive curriculum of programming for engineers, its t...

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International MultiConference of Engineers and Computer Scientists 2015, IMECS 2015

作者： Satoskar, Mohit Mali, Sagar Department of Computer Science and Information Technology Ramrao Adik Institute of Technology Mumbai India Computer Programming and System Software Design Area of Computer Science at Kolhapur Maharashtra India

ISBN: (纸本)9789881925329

Issues related to the curriculum design of C programming language is analysed. Aspects and necessity of programming for engineers is discussed. The enhanced outlay of programming for engineers and generating the curriculum is presented. Relativity and dependency briefly highlighted. A superlative teaching model of computer languages is discussed along with its principles. In-Lab monitoring technique is developed successfully using client-server architecture which ensures learner live workshop progress. It is shown how the programming for engineer's curriculum design and techniques help to create highest quality outcome.

关键词： Curricula

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Hybrid Grey Wolf and Dipper Throated Optimization in Network Intrusion Detection Systems

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Computers, Materials & Continua 2023年第2期74卷 2695-2709页

作者： Reem Alkanhel Doaa Sami Khafaga El-Sayed M.El-kenawy Abdelaziz A.Abdelhamid Abdelhameed Ibrahim Rashid Amin Mostafa Abotaleb B.M.El-den Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia 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 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 Department of Computer Science University of Engineering and TechnologyTaxilaPakistan Department of System Programming South Ural State UniversityChelyabinsk454080Russia

The Internet of Things(IoT)is a modern approach that enables connection with a wide variety of devices *** to the resource constraints and open nature of IoT nodes,the routing protocol for low power and lossy(RPL)networks may be vulnerable to several routing ***’s why a network intrusion detection system(NIDS)is needed to guard against routing assaults on RPL-based IoT *** imbalance between the false and valid attacks in the training set degrades the performance of machine learning employed to detect network ***,we propose in this paper a novel approach to balance the dataset classes based on metaheuristic optimization applied to locality-sensitive hashing and synthetic minority oversampling technique(LSH-SMOTE).The proposed optimization approach is based on a new hybrid between the grey wolf and dipper throated optimization *** prove the effectiveness of the proposed approach,a set of experiments were conducted to evaluate the performance of NIDS for three cases,namely,detection without dataset balancing,detection with SMOTE balancing,and detection with the proposed optimized LSHSOMTE *** results showed that the proposed approach outperforms the other approaches and could boost the detection *** addition,a statistical analysis is performed to study the significance and stability of the proposed *** conducted experiments include seven different types of attack cases in the RPL-NIDS17 *** on the 2696 CMC,2023,vol.74,no.2 proposed approach,the achieved accuracy is(98.1%),sensitivity is(97.8%),and specificity is(98.8%).

关键词： Metaheuristics grey wolf optimization dipper throated optimization dataset balancing locality sensitive hashing SMOTE

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Modular Fault Diagnosis in Fixed-Block Railway Signaling Systems

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IFAC-PapersOnLine 2016年第3期49卷 459-464页

作者： Durmus, Mustafa S. Ustoglu, lker Tsarev, Roman Y. Schwarz, Michael Electrical and Electronics Engineering Department Pamukkale University Denizli Turkey Control and Automation Engineering Department Yildiz Technical University Istanbul Turkey Institute of Space and Information Technology Siberian Federal University Krasnoyarsk Russia Computer Architecture and System Programming Kassel University Kassel Germany

The diagnosis of possible faults in railway signaling systems is an important issue to provide safe travel and transportation in railways. Signaling system designers have to consider the possible faults which may occur in railway field components both on the requirements preparation phase and on the development phase of the signaling system software or namely, the interlocking system. Although the diagnosis of different unobservable faults is relatively hard, especially for large scale railway fields, this complexity can be overcome by using the Discrete Event System (DES) based modular diagnosis approach which is explained in this paper. The main advantage of using such modular approach for fault diagnosis in fixed-block signaling systems is the inspection of the diagnosability of the whole system with respect to its subsystems (railway field components). In this study, the diagnosability of the railway field equipment and the whole system is also explained with a case study. © 2016

关键词： Fault detection Discrete event simulation Failure analysis Railroad signal systems Railroads Signaling Development phase Field components Field equipment Fixed block signaling Interlocking systems Modular approach Railway signaling systems Signaling systems

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A Method for Forecasting the Demand for Pharmaceutical Products in a Distributed Pharmacy Network Based on an Integrated Approach Using Fuzzy Logic and Neural Networks

A Method for Forecasting the Demand for Pharmaceutical Produ...

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International Conference on Intelligent and Fuzzy Systems, INFUS 2020

作者： Oglu, Alekperov Ramiz Balashirin Kizi, Isgandarova Ilhama Tarlan Information Technology and Programming Azerimed LLC BakuAZ1147 Azerbaijan Department of Computer Engineering Odlar Yurdu University BakuAZ1072 Azerbaijan

ISBN: (纸本)9783030511555

This article discusses the use of fuzzy logic and a neural network to predict the demand for pharmaceutical products in a distributed network, in conditions of insufficient information, a large assortment and the influence of risk factors. A comprehensive approach to solving forecasting problems is proposed using: the theory of fuzzy logic - when forecasting emerging and unmet needs and a neural network - if there is a lot of retrospective information about the actual sale of drugs and drugs. Using this approach to solve the problems of forecasting demand allows you to get statistics and experience. The general algorithm, mathematical interpretation and examples of forecasting the demand for pharmaceutical products in the face of uncertainty of information are given, and the general structure of the system for forecasting the demand for drugs is described. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Uncertainty analysis

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Dipper Throated Optimization for Detecting Black-Hole Attacks inMANETs

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Computers, Materials & Continua 2023年第1期74卷 1905-1921页

作者： Reem Alkanhel El-Sayed M.El-kenawy Abdelaziz A.Abdelhamid Abdelhameed Ibrahim 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 Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt 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 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

In terms of security and privacy,mobile ad-hoc network(MANET)continues to be in demand for additional debate and *** more MANET applications become data-oriented,implementing a secure and reliable data transfer protocol becomes a major concern in the ***,MANET’s lack of infrastructure,unpredictable topology,and restricted resources,as well as the lack of a previously permitted trust relationship among connected nodes,contribute to the attack detection burden.A novel detection approach is presented in this paper to classify passive and active black-hole *** proposed approach is based on the dipper throated optimization(DTO)algorithm,which presents a plausible path out of multiple paths for statistics transmission to boost MANETs’quality of service.A group of selected packet features will then be weighed by the DTO-based multi-layer perceptron(DTO-MLP),and these features are collected from nodes using the Low Energy Adaptive Clustering Hierarchical(LEACH)clustering *** is a powerful classifier and the DTO weight optimization method has a significant impact on improving the classification process by strengthening the weights of key features while suppressing the weights ofminor *** hybridmethod is primarily designed to combat active black-hole *** the LEACH clustering phase,however,can also detect passive black-hole *** effect of mobility variation on detection error and routing overhead is explored and evaluated using the suggested *** diverse mobility situations,the results demonstrate up to 97%detection accuracy and faster execution ***,the suggested approach uses an adjustable threshold value to make a correct conclusion regarding whether a node is malicious or benign.

关键词： Black-hole attack mobile ad-hoc network optimization dipper throated optimization

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A zero-watermarking algorithm for use in RGB and monochrome images 5

A zero-watermarking algorithm for use in RGB and monochrome ...

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5th IEEE KhPI Week on Advanced technology, KhPIWeek 2024

作者： Poddubnyi, Vadym Gvozdov, Roman Sievierinov, Oleksandr Sukhoteplyi, Vladyslav Bulba, Serhii Lysytsia, Dmytro Department of of information technology security Kharkiv National University of Radio Electronic Kharkiv Ukraine Department of Computer Engineering and Programming Ivan Kozhedub Kharkiv National Air Force University Kharkiv Ukraine Department of Computer Engineering and Programming National Technical University "Kharkiv Polytechnic Institute" Kharkiv Ukraine

ISBN: (纸本)9798350384499

the article proposes a method of zero-watermarking for colored RGB bitmap images. This algorithm can be used to protect property rights to multimedia resources in which it is impossible to use ordinary watermarks due to the impossibility of changing the image (such as medical data where high accuracy is required and the appearance of artifacts is unacceptable) or due to the presence of a higher distortion of the container. This algorithm is based on DWT, SVD and operations in the field by modulo 256. The software implementation of the algorithm was developed (using the Accord and *** libraries to implement DWT, SVD). The software implementation of the algorithm was tested. This algorithm has advantages in the form of normalization of the average error, but it needs further research to improve its performance. ©2024 IEEE.

关键词： Image reconstruction

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