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Sophisticated Calculation of the 1oo4-architecture for Safety-related Systems Conforming to IEC61508

Journal of Physics: Conference Series 2012年第1期364卷

作者： A Hayek M Al Bokhaiti M H Schwarz J Boercsoek To whom any correspondence should be addressed Institute of Computer Architecture and System Programming University of Kassel Wilhelmshoeher Allee 71 34121 Kassel Germany

With the publication and enforcement of the standard IEC 61508 of safety related systems, recent system architectures have been presented and evaluated. Among a number of techniques and measures to the evaluation of safety integrity level (SIL) for safety-related systems, several measures such as reliability block diagrams and Markov models are used to analyze the probability of failure on demand (PFD) and mean time to failure (MTTF) which conform to IEC 61508. The current paper deals with the quantitative analysis of the novel 1oo4-architecture (one out of four) presented in recent work. Therefore sophisticated calculations for the required parameters are introduced. The provided 1oo4-architecture represents an advanced safety architecture based on on-chip redundancy, which is 3-failure safe. This means that at least one of the four channels have to work correctly in order to trigger the safety function.

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The contributions regarding the conception, designing, modelling and the implementation in a flexible cell of fabrication of a modular serial robot

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PAMM 2010年第1期9卷

作者： Silviu Mihai Petrişor Viorel Ispas Mariana Arghir Tehnical University of Cluj-Napoca Department of Mechanics and Computer Programming Muncii Avenue no. 103-105 Cluj-Napoca 400 641 Romania

The authors of the presented paper are propose to relief the calculus, modelling and construction of the translation module of an industrial robot which possess in his cinematic chain five degrees of freedom, type TTRTR. It is propose a choosing variant of the direct current driving engine of the translation module, knowing the output momentum and calculating the input momentum. This is realized by equalize of an equation which results from dynamic modeling of the robot with a designing equation which keep in view the component elements of the structure of the module. The robot is composed by: module of translation on horizontal to the base of the robot (MTB-Sil), module of translation on vertical (MTV-Sil), module of rotation round the vertical axis from the robot's arm, module of translation from the structure of the robot's arm (MT-Sil) and module of orientation assembled with clamping device. In the paper, also is presented an economic study regarding the implementation of the analyzed robot in a manufactural cell concerning the manufacturing and assembling of some types of car radiators. (© 2009 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim)

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New Algorithm for the Identification and Analysis of the Parallel Robots Singularities

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PAMM 2005年第1期5卷

作者： Doina Pisla Department for Mechanics and Computer Programming TU Cluj-Napoca C. Daicoviciu Str. 15 RO-400020 Cluj-Napoca Romania

The paper presents a new algorithm for the analysis of the kinematic singularities for different parallel structures using a testing stand. The derived expressions are used to superimpose graphical representations of the manipulators singularity and workspace. The analytical description of the singularity loci can be successfully used for the optimisation of the kinematic design. The derived algorithm for singularities analysis has been integrated in an already developed parallel robots simulation system, which provides an easy to read graphical representation of the singularities that enables their isolation within the working space and their avoiding in the path programming activity. (© 2005 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)

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Engineering self-coordinating software intensive systems

Engineering self-coordinating software intensive systems

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FSE/SDP Workshop on the Future of Software Engineering Research, FoSER 2010

作者： Schäfer, Wilhelm Birattari, Mauro Blömer, Johannes Dorigo, Marco Engels, Gregor O'Grady, Rehan Platzner, Marco Rammig, Franz Reif, Wolfgang Trächtler, Ansgar Heinz Nixdorf Institute University of Paderborn Fürstenallee 11 Paderborn Germany Heinz Nixdorf Institute University of Paderborn Pohlweg 98 Paderborn Germany Heinz Nixdorf Institute University of Paderborn Warburger Str. 100 Paderborn Germany Department of Computer Science University of Paderborn Warburger Str. 100 Paderborn Germany Department of Control Engineering and Mechatronics University of Paderborn Pohlweg 98 Paderborn Germany IRIDIA CoDE Université Libre de Bruxelles Ave. F. Roosevelt 50 1050 Brussels Belgium Department of Software Engineering and Programming Languages University of Augsburg Universitätsstr. 6a Augsburg Germany

ISBN: (纸本)9781450304276

It my great pleasure and honor to welcome you to FoSER 2010: The FSE/SDP Workshop on the Future of Software Engineering Research. This workshop was organized in collaboration with and made possible by generous support from the Software Design and Productivity Coordinating Group (SDP) of the U.S. National Coordination Office (NCO) for Networking and Information Technology Research and Development (NITRD), and the National Science Foundation (NSF). This one-time, international working conference has brought together top academic and industrial researchers and government research funding agency personnel from around the world to engage in an extended discussion of consequential new ideas about the future of our field. The ideas produced by this workshop will be disseminated in two forms. First, the position papers accepted by the program committee will be published in a companion to the Proceedings of FSE-18. Second, the workshop findings will be published subsequently in a special report by NITRD/SDP. The call for papers for FoSER 2010 solicited 4-page position papers with new ideas about the future of software and software-reliant systems, and the research that will be needed to meet future needs. Papers were expected to be creative and thought-provoking, and to articulate compelling new perspectives, positions, problem formulations, assumptions and approaches. The workshop did not seek, and did not accept, technical research papers or abstracts. The workshop received a total of 139 position papers. Of these, 90 papers (65%) were accepted. Each paper was reviewed by at least two members of the workshop program committee. The committee was asked to accept all papers presenting significant new ideas about how our field should move forward. Copyright 2010 ACM.

关键词： Software design

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A Horizontal Federated Learning Approach to IoT Malware Traffic Detection: An Empirical Evaluation with N-BaIoT Dataset 26

A Horizontal Federated Learning Approach to IoT Malware Traf...

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26th International Conference on Advanced Communications Technology, ICACT 2024

作者： Do, Phuc Hao Le, Tran Duc Vishnevsky, Vladimir Berezkin, Aleksandr Kirichek, Ruslan The Bonch-Bruevich Saint-Petersburg State University of Telecommunications Saint-Petersburg Russia Danang Architecture University Da Nang Viet Nam University of Telecommunications Department of Communication Networks and Data Transmission at Bonch-Bruevich Saint-Petersburg State Russia University of Science and Technology The University of Danang Da Nang Viet Nam The University of Danang University of Science and Technology Information Technology Faculty Danang Viet Nam V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences Moscow Russia Institute of Control Sciences of Russian Academy of Sciences Russia Bonch Bruevich Saint Petersburg State University of Telecommunications Department of Programming Engineering and Computer Science Russia

ISBN: (纸本)9791188428120

The increasing prevalence of botnet attacks in IoT networks has led to the development of deep learning techniques for their detection. However, conventional centralized deep learning models pose challenges in simultaneously ensuring user data privacy and detecting botnet attacks. To address this issue, this study evaluates the efficacy of Federated Learning (FL) in detecting IoT malware traffic while preserving user privacy. The study employs N-BaIoT, a dataset of real-world IoT network traffic infected by malware, and compares the effectiveness of FL models using Convolutional Neural Network, Long Short-Term Memory, and Gated Recurrent Unit models with a centralized approach. The results indicate that FL can achieve high performance in detecting abnormal traffic in IoT networks, with the CNN model yielding the best results among the three models evaluated. The study recommends the use of FL for IoT malware traffic detection due to its ability to preserve data privacy. © 2024 Global IT Research Institute - GIRI.

关键词： Malware

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AUTOCORRELATION IN MARKET MODEL RESIDUALS

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Journal of Business Finance & Accounting 1984年第3期11卷 409-417页

作者： Copley, Ronald E. Cooley, Philip L. Roenfeldt, Rodney L. Ronald E. Copley is from the Fogelman College of Business and Economics Memphis State University. Philip L. Cooley and Rodney L. Roenfeldt are from the College of Business Administration University of South Carolina. They wish to thank Robert J. Sweeney for his extensive computer programming.

Autocorrelation in market model residuals affects the estimate of market risk measured by beta. Correction for autocorrelation can substantially change the estimate of beta for some common stocks. In view of the importance of beta estimates in financial research and investment practice, an examination is undertaken in this paper of the prevalence of autocorrelation and two of its causes. The evidence indicates that negative autocorrelation affects estimates of beta for a large number of stocks. In addition, negative autocorrelation is most prevalent among thinly traded and low‐priced stocks. Copyright © 1984, Wiley Blackwell. All rights reserved

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Analysing the impact of COVID-19 outbreak and economic policy uncertainty on stock markets in major affected economies

Analysing the impact of COVID-19 outbreak and economic polic...

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6th Smart Cities Symposium (SCS 2022)

作者： A. Matuka S. S. Asafo G. O. Eweke P. Mishra S. Ray M. Abotaleb T. Makarovskikh A.A. Alhussan A.A. Abdelhamid E.M. El-Kenawy P. Dutta S. Chowdhury University of Macerata Department of Economics and Law Macerata Italy Department of Banking & Finance Niger Delta University Amassoma Nigeria College of Agriculture J.N.K.V.V. Powarkheda India Centurion University of Technology and Management Paralakhemundi India Department of System Programming South Ural State University Chelyabinsk Russia Department of Computer Sciences College of Computer and Information Sciences Princess Nourah bint Abdulrahman University Riyadh Saudi Arabia Department of Computer Science Faculty of Computer and Information Sciences Ain Shams University Cairo Egypt Department of Communications and Electronics Delta Higher Institute of Engineering and Technolog School of Engineering and Technology Amity University Kolkata Kolkata India MCA Department Sri Venkateshwara College of Engineering and Technology Chittoor India

The covid-19 pandemic and Economic Policy Uncertainty resulting from the shutdown of production, withdrawal of investments, enforcement of lockdowns and quarantines globally, have been directly affecting stock markets worldwide. This study is thus an attempt to analyse the impact of the COVID-19 pandemic on stock market behaviour in major affected economies. Moreover, the time frame was extended by using current data which investigate the impact of the virus during the boom and the blast phase in the country's most hit by the pandemic crisis such as China, Italy, UK and US. The frequency of the data is daily, and it dates from 3 January 2020 up to 10 February 2021. The considered time framework will give a deep insight into how stock markets behave in the case of an exogenous shock. The Dickey-Fuller Augmented Unit Root Test indicates that all the variables are stationary at first difference, which is one of the main conditions to have robust result, and the ARCH-LM test for the heteroskedasticity of the residuals, which show that all the probability values are significant, rejecting the null hypothesis of no ARCH effect. Based on the results of GARCH (1,1), we conclude that the change in stock markets volatility is positive and significant in China, Italy, UK and USA. This suggests that the impacts of COVID-19 outbreak and economic policy uncertainty on Stock Markets are a significant and Homogeneous across the studied countries, and the shock on FTSE Italia All Share has the longest time to vanish which makes it the riskiest to invest during this period, while the shock on SP500 USA has the shortest time to disappear meaning that it is safest Stock Market in this study. These findings have significant implications for policymakers, institutional and individual investors and Financial Markets analysts.

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ATTITUDES TOWARD REPRODUCTIVE ENGINEERING - AN OVERVIEW

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JOURNAL OF FAMILY ISSUES 1981年第1期2卷 5-24页

作者： HARTLEY, SF California State University Hayward Corresponding Author: Shirley Foster Hartley is Professor and former Chair of the Department of Sociology California State University Hayward. Books published include: Population: Quantity vs. Quality (Prentice-Hall) and Illegitimacy (University of California Press). Articles published and research interests vary from micro-analyses of interpersonal attraction role conflicts among clergy wives and marital satisfaction to macro studies of the status of women in various societies and population growth and development. ∗An earlier draft was prepared in conjunction with William J. Beaver whose expertise in computer programming greatly facilitated this analysis. The report on our pilot study was presented at the American Association for the Advancement of Science Pacific Division San Francisco CA June 13 197

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Research on Reasonable Color Matching Method of Interior Decoration Materials Based on Image Segmentation

Research on Reasonable Color Matching Method of Interior Dec...

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International Conference on Smart Technologies For Smart Nation (SmartTechCon)

作者： Lokesh Kalapala Raghunandan K R D. Shyam Saravanan R K Krishnakumar C. Sivasankar Department of Mechanical Engineering Koneru Lakshmaiah Education Foundation Andhra Pradesh India Department of Computer Science and Engineering NMAM Institute of Technology Nitte (Deemed University) Karnataka India Department of EEE Rajalakshmi Engineering College Thandalam Chennai Department of ECE PSNA College of Engineering and Technology Dindigul Tamilnadu India Department of Programming Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences (SIMATS) Chennai India Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences (SIMATS) Chennai India

In recent years, with the continuous growth of social and economic level, people's living standard has also been constantly improved. Under this background, contemporary people highly respect a good living environment, and the importance of building interior decoration engineering has been fully reflected. As one of the important design contents of interior decoration, the use level and effect of color will directly affect the overall visual effect of interior decoration and the comfort of interior space. Through the rational collocation of colors, the artistic characteristics of interior decoration can be displayed, which can also show the important role of color in interior decoration. In modern interior decoration, the use of colors is gradually enriched, and the use of multiple colors leads to the problem of actual color matching. Image segmentation, which is the premise of image recognition and tracking, divides an image into regions with different characteristics and extracts interesting objects. This technology has been widely used in military affairs, medicine, intelligent transportation, pedestrian detection, product inspection, sports, remote sensing, machine vision and other fields. Therefore, good color matching is very important in the actual interior decoration practice.

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Design of Intelligent Decision Support System With Ensembled Machine Learning to Predict Students' Performance

Design of Intelligent Decision Support System With Ensembled...

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Communication, computer Sciences and Engineering (IC3SE), International Conference on

作者： S Deepan Dineshkumar Rajendran Navdeep Dhaliwal K Praveena Melanie Lourens Anandhi R J School of CS & AI SR University Warangal Telangana India Computer Games Design and Programming School of Computing and Innovative Technologies British University Vietnam Vietnam Lovely Professional University Phagwara India Institute of Aeronautical Engineering Dundigal Hyderabad Deputy Dean Faculty of Management Sciences Durban University of Technology South Africa Department of Information Science Engineering New Horizon College of Engineering Bangalore

ISBN: (数字)9798350366846

ISBN: (纸本)9798350366853

Evaluating student performance is important for universities and institutions in the current student education landscape because it helps them create models that work better for students. The automation of various features related to fundamental student traits and behaviours that manage massive amounts of data efficiently processes these. To handle student records that included information about students' behaviour and how it related to their academic performance, the companies employed models of classification with mining concepts. Additionally, the quality of result classification can be substantially improved by using learning analytics and Educational Data Mining (EDM). The educational establishments are making an effort to lower the low student performance. To address this issue, numerous methods for assessing student performance have been devised, allowing the relevant faculties to intervene and enhance the final product. Three classes—Low Performance Student, Average Student, and Smart Student—were created using the K-Mean Clustering methodology for classifying student records. Features including grade point, number of deficits, student attendance, medium of education, and board of education are taken into account when classifying the data. In this case, the WEKA tool is also utilized for implementing the model and outcome assessments.

关键词： Deep learning Decision support systems Analytical models Data analysis Automation Education Companies

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