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5th International Conference on Information Technology and Applications, ICITA 2008

作者： Luk, Vincent Wing-Hei Chan, Jacky Ng, Kam-Wing Wong, Albert Kai-Sun Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong Programming Practices Laboratory Department of Computer Science and Engineering Chinese University of Hong Kong Hong Kong Department of Computer Science and Engineering Chinese University of Hong Kong Hong Kong

ISBN: (纸本)9780980326727

In this paper, we propose an On-Demand Content Delivery Grid system that supplements the traditional content delivery network to deal with problems such as the huge influx of network traffic in a short period of time and the high cost in renting a fixed number of servers. We present its system architecture and describe its implementation in details. An experimental high-definition movie streaming site was setup using our content delivery grid system to demonstrate its capabilities with performance analysis.

关键词： Grid computing

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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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Development the Numerical Method to Solve the Inverse Initial Value Problem for the Thermal Conductivity Equation of Composite Materials

Development the Numerical Method to Solve the Inverse Initia...

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2020 Ibn Al-Haitham International Conference for Pure and Applied Sciences, IHICPS 2020

作者： Al-Mahdawi, H.K. Department of System Programming School of Electronic Engineering and Computer Science South Ural State University Lenina 76 Chelyabinsk454080 Russia

In this paper, the heat conduction equation for composite materials posed and solved. This problem is known as an inverse initial value problem for the heat conduction equation. In order to solve and formulate this inverse problem, the function spaces must be defined and represented. By studying and solving the direct problem for the heat equation in composite materials, it is possible to determine the function spaces and solve the inverse initial value problem. Scientific methods used: the separation of variables method used to solve the direct problem for the heat equation. It found that method separation of variables does not completely lead to the solution of the inverse initial value problem, since this method leads to a divergent series of solutions and rather massive errors. The heat conduction problem can be formulated as Fredholm integral first kind equations. The discretization algorithm applied to reformulated the problem as linear operator problem as matrix and vectors form. Then, Tikhonov's regularization inversion method has been used to find an approximation solution. Finally, as shown in the numerical example the regularized approximate solutions obtained. © Published under licence by IOP Publishing Ltd.

关键词： Initial value problems

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Application of S-UTD-CH model into multiple diffraction scenarios at 900MHz

Application of S-UTD-CH model into multiple diffraction scen...

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Progress in Electromagnetics Research Symposium, PIERS 2014

作者： Tabakcioglu, Mehmet Baris Ayberkin, Doruk Electrical and Electronics Engineering Department Engineering Faculty Bayburt University Bayburt69000 Turkey Computer Programming Department Bayburt Vocational School Bayburt University Bayburt69000 Turkey

ISBN: (纸本)9781934142288

In this study, propagation prediction models based on ray tracing in coverage estimation for broadcasting systems are compared with respect to computation time and accuracy. Uniform Theory of Diffraction (UTD), Slope Diffraction (S-UTD) and Slope UTD with Convex Hull (S-UTD-CH) models are compared for computation time and propagation path loss. Moreover in this study, effects of transmitter height to relative path loss at the receiver are analyzed. S-UTD-CH model is optimum model with respect to computation time and relative path loss.

关键词： Ray tracing

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Promoter recognition with machine learning algorithms keREM, RULSE-3 and ANN

Promoter recognition with machine learning algorithms keREM,...

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International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2012

作者： Karli, Günay Nayir, Ahmet Faculty of Engineering and Information Technology International Burch Universiy Sarajevo Bosnia and Herzegovina Department of Computer Programming Fatih University Istanbul Turkey

ISBN: (纸本)9781467314466

Data mining has become an important and active area of research because of theoretical challenges and practical applications associated with the problem of discovering interesting and previously unknown knowledge from very large real world database. These databases contain potential gold mine of valuable information, but it is beyond human ability to analyze massive amount of data and elicit meaningful patterns by using conventional techniques. In this study, DNA sequence was analyzed to locate promoter which is a regulatory region of DNA located upstream of a gene, providing a control point for regulated gene transcription. In this study, some supervised learning algorithms such as artificial neural network (ANN), RULES-3 and newly developed keREM rule induction algorithm were used to analyse to DNA sequence. In the experiments different option of keREM, RULES-3 and ANN were used, and according to the empirical comparisons, the algorithms appeared to be comparable to well-known algorithms in terms of the accuracy of the extracted rule in classifying unseen data. © 2012 IEEE.

关键词： Supervised learning

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Al-Biruni Earth Radius Optimization for COVID-19 Forecasting

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computer Systems Science & engineering 2023年第7期46卷 883-896页

作者： El-Sayed M.El-kenawy Abdelaziz A.Abdelhamid Abdelhameed Ibrahim Mostafa Abotaleb Tatiana Makarovskikh Amal H.Alharbi Doaa Sami Khafaga Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams University11566CairoEgypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura University35516MansouraEgypt Department of System Programming South Ural State University454080ChelyabinskRussia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

Several instances of pneumonia with no clear etiology were recorded in Wuhan,China,on December 31,*** world health organization(WHO)called it COVID-19 that stands for“Coronavirus Disease 2019,”which is the second version of the previously known severe acute respiratory syndrome(SARS)Coronavirus and identified in short as(SARSCoV-2).There have been regular restrictions to avoid the infection spread in all countries,including Saudi *** prediction of new cases of infections is crucial for authorities to get ready for early handling of the virus ***:Analysis and forecasting of epidemic patterns in new SARSCoV-2 positive patients are presented in this research using metaheuristic optimization and long short-term memory(LSTM).The optimization method employed for optimizing the parameters of LSTM is Al-Biruni Earth Radius(BER)***:To evaluate the effectiveness of the proposed methodology,a dataset is collected based on the recorded cases in Saudi Arabia between March 7^(th),2020 and July 13^(th),*** addition,six regression models were included in the conducted experiments to show the effectiveness and superiority of the proposed *** achieved results show that the proposed approach could reduce the mean square error(MSE),mean absolute error(MAE),and R^(2)by 5.92%,3.66%,and 39.44%,respectively,when compared with the six base *** the other hand,a statistical analysis is performed to measure the significance of the proposed ***:The achieved results confirm the effectiveness,superiority,and significance of the proposed approach in predicting the infection cases of COVID-19.

关键词： COVID-19 prediction meta-heuristic optimization LSTM Al-Biruni earth radius algorithm

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Colouring of COVID-19 Affected Region Based on Fuzzy Directed Graphs

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computers, Materials & Continua 2021年第7期68卷 1219-1233页

作者： Rupkumar Mahapatra Sovan Samanta Madhumangal Pal Jeong-Gon Lee Shah Khalid Khan Usman Naseem Robin Singh Bhadoria Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar UniversityMidnapore721102India Department of Mathematics Tamralipta MahavidyalayaTamluk721636India Division of Applied Mathematics Wonkwang UniversityIksan-SiJeonbuk54538Korea School of Engineering RMIT UniversityMelbourne3001Australia School of Computer Science University of Sydney Sydney2006Australia Department of Computer Science&Engineering Birla Institute of Applied Sciences(BIAS)BhimtalUttarakhand263136India

Graph colouring is the system of assigning a colour to each vertex of a *** is done in such a way that adjacent vertices do not have equal *** is fundamental in graph *** is often used to solve real-world problems like traffic light signalling,map colouring,scheduling,***,social networks are prevalent systems in our ***,the users are considered as vertices,and their connections/interactions are taken as *** users follow other popular users’profiles in these networks,and some don’t,but those non-followers are connected directly to the popular *** means,along with traditional relationship(information flowing),there is another relation among *** depends on the domination of the relationship between the *** type of situation can be modelled as a directed fuzzy *** the colouring of fuzzy graph theory,edge membership plays a vital *** membership is a representation of flowing information between end nodes of the *** from the communication relationship,there may be some other factors like domination in *** influence of power is captured *** this article,the colouring of directed fuzzy graphs is defined based on the influence of *** with this,the chromatic number and strong chromatic number are provided,and related properties are *** application regarding COVID-19 infection is presented using the colouring of directed fuzzy graphs.

关键词： Graph colouring chromatic index directed fuzzy graphs

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Intelligent Agent for Support of Decision Making on Civil Law Regulation of Contract for the Provision of in Vitro Fertilization 15

Intelligent Agent for Support of Decision Making on Civil La...

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15th IEEE International Scientific and Technical Conference on computer Sciences and Information Technologies, CSIT 2020

作者： Hovorushchenko, Tetiana Herts, Alla Hnatchuk, Yelyzaveta Computer Engineering and System Programming Department Khmelnytskyi Ukraine Ivan Franko National University of Lviv Civil Law and Legal Proceedings Department Lviv Ukraine

ISBN: (纸本)9781728174433

Nowadays in Ukraine, there is a need for automation and removal of human from the processes of decision making on civil law regulation of contract for the provision of in vitro fertilization, which can significantly increase the correctness of the concluded contract in terms of civil law and medical law. So, the purpose of this study is the development of an intelligent agent for support of decision making on civil law regulation of contract for the provision of in vitro fertilization. The method of activity of intelligent agent for support of decision making on civil law regulation of contract for the provision of in vitro fertilization was first developed in this paper, which concludes that the content of the contract for the provision of in vitro fertilization is correct or incorrect, as well as a recommendation to conclude a contract (if its content is correct) or to revise the contract (if its content is incorrect). © 2020 IEEE.

关键词： Decision making

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Design and testing tool for a safe monitoring system for neurodegenerative disorder patients 3

Design and testing tool for a safe monitoring system for neu...

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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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