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检索条件"任意字段=8th IEEE International Conference on Software Engineering and Computer Systems, ICSECS 2023"

共 1532 条记录，以下是241-250 订阅

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Model Checking of Adaptive Programs with Mode-extended Linear Temporal Logic

Model Checking of Adaptive Programs with Mode-extended Linea...

引用

ieee Int Conf/Workshops on engineering of Autonomic and Autonomous systems/Int Conf on the engineering of computer-Based systems/Int Conf on the engineering of Complex computer systems

作者： Zhao, Yongwang Ma, Dianfu Li, Jing Li, Zhuqing Beihang Univ Sch Comp Sci & Engn State Key Lab Software Dev Environm Beijing Peoples R China Beihang Univ Sch Engn & Comp Sci Inst Adv Comp Technol Beijing 100191 Peoples R China

ISBN: (纸本)9780769543802

Increasingly, software needs to dynamically adapt its structure and behavior at runtime in response to changing conditions in the supporting computing, network infrastructure, and in the surrounding physical environments. By high complexity, adaptive programs are generally difficult to specify, verify, and validate. Assurance of high dependability of these programs is a great challenge. Efficiently and precisely specifying requirements and flexible model checking for adaptation are the key issues for developing dependably adaptive software. this paper introduces a formal model for adaptive programs which have different behavioral modes. We consider that adaptive programs have two behavioral level, functional behavior and adaptation. State machine is used to describe functional behavior in different modes and mode automata is proposed for adaptations. Specifications of adaptive programs are classified into three categories, local, adaptation and global properties from their different scope of dynamic adaptation. To specify and verify specifications on our model, We propose the Mode-extended Linear Temporal Logic (mLTL) and its model checking approach. mLTL extends Linear Temporal Logic (LTL) by adding mode related element and enables describing properties on different modes. Our formal model and mLTL formulae are translated to SMV language and verified in NuSMV model checker.

关键词： Dynamic Adaptation Dependability Autonomic Computing Formal Specification Verification

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A Comparative Analysis on three Duplication Elements in Copy-Move Forgery using PatchMatch-Based Detection Method

A Comparative Analysis on Three Duplication Elements in Copy...

引用

international conference on software engineering and computer systems (icsecs)

作者： Nur Izzati Nor Azaimi Nor Bakiah Abd Warif Nor-Syahidatul N Ismail Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Johor Malaysia Faculty of Computer Science and Information Technology Centre for Information Security Research Universiti Tun Hussein Onn Malaysia Johor Malaysia Department of Computer System and Networking Faculty of Computing Universiti Malaysia Pahang Al-Sultan Abdullah Pekan Pahang Malaysia

Image forgery is the alteration of a digital image to hide some of the important and useful information. Copy-move forgery (CMF) is one of the most difficult to detect because the copied part of the image has the same characteristics as the original image. Most of the existing datasets only highlight additional attacks in the copied part. Since there are no categories of duplication elements in the datasets, this research analyzed three categories of duplication elements in CMF which are animals, food and non-living things using DEFACTO and CoMo3Dataset. the analysis is performed on PatchMatch-based detection method and the results show that the method able to maintain at least 83% for all duplication elements in both DEFACTO and CoMo3Dataset. Furthermore, the method is able to detect a minimum 92% score for the food category in both datasets.

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the research on the construction method of evaluation indicator system based on software product line

The research on the construction method of evaluation indica...

引用

2011 8th international conference on Fuzzy systems and Knowledge Discovery, FSKD 2011, Jointly with the 2011 7th international conference on Natural Computation, ICNC'11

作者： Liu, Yu-Yan Zhao, Qing Liu, Yu-Lin Department of Computer Science Technology of Kunming University Yunnan China Trade and Administration College Chongqing University Chongqing China

ISBN: (纸本)9781612841816

the software product line development goal is whole domain rather than a single software system, with the results that effectively improved the software system development productivity and quality, shortened development time, and reduced overall development costs. the ideas of software product line engineering can be used as an experience for reference of this article, and proposed the construction method of evaluation indicator system model based on software product line engineering, which in the real application attempt to build the evaluation indicator system overcome casualness of disadvantages, and quickly construct high-quality domain evaluation indicator system. © 2011 ieee.

关键词： Quality control

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Fraud Detection using Recurrent Neural Networks for Digital Wallet Security 8

Fraud Detection using Recurrent Neural Networks for Digital ...

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8th international conference on computer Science and engineering, UBMK 2023

作者： Iscan, Can Akbulut, Fatma Patlar R&d Center of Formica Ai Istanbul Turkey Istanbul Kültür University Department of Software Engineering Istanbul Turkey

ISBN: (纸本)9798350340815

E-wallet use has exploded, bringing in a new era of convenient and secure digital transactions;nevertheless, it has also led to a surge in fraudulent transactions. Using Recurrent Neural Networks (RNNs), this research provides an experimental approach for detecting fraudulent use of e-wallets. To detect fraudulent behaviors in e-wallet transactions, we have developed Long-Short Term Memory (LSTM) architecture to make use of the sequential nature of transaction data. Using the United Payment dataset for training and testing, the proposed model successfully classifies fraudulent transactions while reducing the number of false positives. the findings underline the utility of the RNN-based strategy in strengthening the safety and reliability of e-wallet systems, lead off for more secure online financial dealings. this study adds to the growing body of literature on detecting fraudulent use of electronic wallets by developing a model that makes use of deep learning to enhance fraud detection effectiveness in the ever-changing domain of digital payments. © 2023 ieee.

关键词： Long short-term memory

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Universal methodology for embedded system testing

Universal methodology for embedded system testing

引用

8th international conference on computer Science and Education, ICCSE 2013

作者： Karmore, Swapnili P. Mahajan, Anjali R. Department of Computer Science and Engineering G. H. Raisoni College of Engineering Nagpur Maharashtra India Department of Computer Science and Engineering P.I.ET. Nagpur Maharashtra India

ISBN: (纸本)9781467344623

this paper describes testing framework that is capable of testing heterogeneous embedded systems. there are three key contributions. the first is the introduction of a new approach of embedded system testing. the second is simple and efficient embedded system classifier interface, named as discovery interface device for embedded system. the third key contribution is a method for combining classifiers in one module, provides environment and testing methodology for embedded system testing. A set of different experiments in the domain of testing of embedded system is presented. this system yields of embedded system testing comparable to the best previous system implemented on traditional embedded software testing tools. this approach is capable to testing of host based and target based embedded systems. © 2013 ieee.

关键词： Embedded systems

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An evaluation of software requirements tools 8

An evaluation of software requirements tools

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8th international conference on Intelligent Computing and Information systems, ICICIS 2017

作者： Shah, Atif Alasow, Mohamed Ali Sajjad, Faisal Baig, Jawad Javed Akbar Information and Computer Science Department King Fahd University of Petroleum and Minerals Dhahran Saudi Arabia

ISBN: (纸本)9772371723

software requirements gathering from users, customers, and stakeholders is the very first and critical step in software development. Requirements are volatile due to change in needs, processes and technology. this makes manual requirement management a challenging task. To overcome such problems, practitioners developed various tools to collect and manage software requirements. Use of these tools can safe efforts and time and remove inconsistencies. In this study, we evaluated different tools which are used to manage and gather requirements during the whole life-cycle of software development or in a particular phase, which includes requirements elicitation, analysis, specification, verification, traceability, document support, graphical representation, and tool integration. Tools are analyzed according to functionality, scope, performance and availability. © 2017 ieee.

关键词： Requirements engineering

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Feature Based Comparative Analysis of Traditional Intrusion Detection System and software-Defined Networking Based Intrusion Detection System 8

Feature Based Comparative Analysis of Traditional Intrusion ...

引用

8th ieee international conference on engineering Technologies and Applied Sciences, ICETAS 2023

作者： Mahar, Iftekhar Ahmed Libing, Wu Rahu, Ghulam Ali Maher, Zulfikar Ahmed Koondhar, Muhammad Yaqoob School of Computer Science Wuhan University China Wuhan China Information Technology Centre Sindh Agriculture University Tandojam Tandojam Pakistan

ISBN: (纸本)9798350327090

Intrusion Detection systems (IDS) play a crucial role in a comprehensive security framework for an organization by detection and response to security incidents, encompassing both network-based and host-based threats. the selection of IDS components and its configuration depends upon the security requirements of the company and the prevailing threat landscape they encounter. the conventional Intrusion Detection System (IDS) and the software-Defined Networking (SDN) IDS share the common objective of identifying and mitigating network security breaches. However, they diverge notably in terms of their architectural design and operational methodology. this paper presents a comparative analysis between a traditional Intrusion Detection System (IDS) and a software-Defined Networking (SDN) based IDS. It aims to offer a comprehensive examination of both IDS systems, enabling organizations to make informed decisions considering their unique security requirements, network architecture, and operational limitations.. © 2023 ieee.

关键词： software defined networking

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Product Recommendation using Deep Learning in computer Vision

Product Recommendation using Deep Learning in Computer Visio...

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international conference on software engineering and computer systems (icsecs)

作者： Sharvinteraan C. Mogan Zuriani Mustaffa Mohd Herwan Sulaiman Ferda Ernawan Faculty of Computing Universiti Malaysia Pahang Al-Sultan Abdullah Pekan Pahang Malaysia Faculty of Electrical and Electronics Engineering technology Universiti Malaysia Pahang Al-Sultan Abdullah Pekan Pahang Malaysia

Recently, recommendation models have gained popularity due to their effectiveness in improving customer satisfaction and deriving sales. However, current product recommendation models have a drawback: they lack personalized and targeted advertisements for individual users. Consequently, the recommendations provided are random and not tailored to users' preferences. this limitation negatively impacts the system's ability to deliver relevant and personalized advertisements, leading to reduced user engagement and potentially lower conversion rates. Moreover, the absence of personalized advertisements can result in user dissatisfaction as they may receive recommendations that are irrelevant or not aligned with their interests and needs. To address these challenges, this study proposed a targeted product recommendation model using Deep Learning (DL) techniques in computer vision. the study utilizes the dataset of human images obtained from the Kaggle website, which includes details such as gender, class, and age. Findings of the study demonstrated a high level of accuracy in product recommendations, indicating the potential for significant improvements in addressing the issues. In conclusion, the proposed method achieves good accuracy in predicting the gender and age, and provides appropriate product recommendations based on these features.

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PMSM Sliding Mode Control Based on a New Approach Law 8

PMSM Sliding Mode Control Based on a New Approach Law

引用

8th international conference on Intelligent Informatics and Biomedical Sciences, ICIIBMS 2023

作者： Wang, Bulai Li, Zixin Shanghai Institute of Technology School of Electrical and Electronic Engineering Shanghai China

ISBN: (纸本)9798350369564

A new type of exponential reaching law is proposed to address the problems of large overshoot and weak anti-interference ability of traditional exponential reaching law sliding mode control in permanent magnet synchronous motor speed control systems. this approach law incorporates a weighted integral gain and a fractional polynomial with exponential terms on the basis of the traditional exponential approach law, and automatically adjusts the approach speed based on the distance from the sliding surface of the system. the simulation results show that compared with the traditional exponential reaching law, the new exponential reaching law improves the Rate of convergence of the system and reduces the overshoot. the chattering suppression ability and dynamic performance are improved, which verifies the feasibility of the strategy. © 2023 ieee.

关键词： Sliding mode control

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Sentirec - A Sentiment Analysis with Recommendation System 8

Sentirec - A Sentiment Analysis with Recommendation System

引用

8th international conference on Communication and Electronics systems, ICCES 2023

作者： Oswalt Manoj, S. Catherine Chandralekha, T. Dharshini, R.M. Hemadharsini, P. Sri Krishna College of Engineering and Technology Department of Computer Science and Business System Coimbatore India Sri Krishna College of Engineering and Technology Department of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9798350396638

the standard language is assessed, and the feelings transmitted by the individual are brought up. the purpose of sentiment analysis is to determine the polarity of a person's textual opinion. Most of the people use social media to market ourselves and share all knowledge, thoughts, ideas, and experiences with the rest of the world. Sentiment analysis has been studied by several internet companies that offer materials based on human emotions expressed through social media. Many people use social media to post and share their thoughts and feelings. the sentiment analysis standard assorts a sentence with all forms of emotions, each of which has an intensity. this study includes a sentiment analysis of diverse perspectives on social topics that are trending on social media, along with a recommendation system. this method recommends related content to viewers based on their current statement or issue. the algorithm also suggests customized video sets to users based on their social media activity, such as diverse perspectives on a particular social problem about which they actively express their thoughts on social media. NLP algorithms are utilized for sentiment analysis and recommendation systems. © 2023 ieee.

关键词： Recommender systems

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