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Non-singular Finite-Time Consensus Tracking Protocols for Second-Order Multi-agent Systems 12th

Non-singular Finite-Time Consensus Tracking Protocols for Se...

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12th international conference on advances in Swarm Intelligence, ICSI 2021

作者： Zou, Yao Yang, Wenfu Wang, Zixuan Long, Keping He, Wei School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing100083 China Institute of Artificial Intelligence University of Science and Technology Beijing Beijing100083 China School of Computer and Communication Engineering University of Science and Technology Beijing Beijing100083 China

ISBN: (纸本)9783030788100

this paper surveys non-singular finite-time consensus tracking issues for second-order multi-agent systems subject to external disturbance. the consensus tracking protocol utilizes the sliding mode control methodology. Firstly, a novel non-singular sliding mode manifold is designed for each agent dynamics, and it ensures the finite-time convergence once the error trajectory reaches it. Further, two non-singular consensus protocols are developed so as to drive the error trajectory towards the assigned sliding mode manifold in finite time. However, the settling time with the first protocol scheme cannot be assessed due to its dependence on transient states. To overcome this dilemma, another protocol scenario is exploited, with which the settling time is assignable off-line using available initial information states and control parameters. Finite-time consensus tracking results are demonstrated based on Lyapunov stability theorems. Eventually, simulations verify the performance of the developed protocols. © 2021, Springer Nature Switzerland AG.

关键词： Multi agent systems

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Discovering Personal Data Security Issues: Insights from "Have I Been Pwned" 8th

Discovering Personal Data Security Issues: Insights from "Ha...

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8th international conference on advances in Computing and Data sciences, ICACDS 2024

作者： Hien, Ton Nguyen Trong Sangsongfa, Adisak Amm-Dee, Noppadol Department of Industrial Technology Management Faculty of Industrial Technology Muban Chom Bueng Rajabhat University Chom Bueng70150 Thailand Faculty of Business Administration Van Lang University Ho Chi Minh City Viet Nam

ISBN: (纸本)9783031709050

the complexity of the digital landscape is on the rise. thus, the urgent issue of personal data protection has become a major concern for individuals and businesses in the modern era. this article uses text mining techniques to examine data concentration and understand current prevalent threats. the data was collected from the "Have I Been Pwned" (HIBP) website, a globally recognized platform for tracking data breaches and compromised accounts. the data was then cleaned, tokenized, and input into a sentiment analysis tool in the Natural Language Toolkit (NLTK). Research findings highlight cybersecurity as a prominent concern, albeit one with a declining trend. Further scrutiny employing text mining methods reveals the existence of multiple issues. Concerns such as password intricacy and susceptibility to spam emails underscore users’ inadequate comprehension of security matters. Besides the objective reasons for purposeful cyberattacks, the consequences warn of risks related to carelessness and limited awareness of cybersecurity issues by users and data owners. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Cybersecurity

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Update at Your Own Risk: Analysis and Recommendations for Update-Related Vulnerabilities 40th

Update at Your Own Risk: Analysis and Recommendations for...

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40th IFIP international conference on ICT Systems Security and Privacy Protection, SEC 2025

作者： Usman, Ahmad B. Asplund, Mikael Department of Computer and Information Science Linköping University Linköping Sweden

ISBN: (纸本)9783031928857

this paper presents an empirical analysis of software and firmware update vulnerabilities in computing systems, resulting in a set of recommendations for implementing more secure update mechanisms. Using a Common Vulnerabilities and Exposures (CVE) dataset, we analyze trends over the past eight years, focusing on the frequency and impact of these vulnerabilities on confidentiality, integrity, and availability, as well as their associated attack vectors and severity levels. We identify distinctive patterns compared to the broader vulnerability dataset, offering insights for risk assessment and management. Our findings reveal that vulnerabilities in software and firmware update (and upgrade) processes have a greater impact than the average disclosed vulnerability. Our results also indicate that the primary attack vector for update-related vulnerabilities is local, whereas for overall vulnerabilities, exploitation typically occurs over the network. Furthermore, we investigate the most common weakness classifications associated with these vulnerabilities, identifying scenarios that illustrate their adverse effects on systems and what they enable an attacker to achieve. Common weaknesses among update-related vulnerabilities include improper verification of cryptographic signatures, improper certificate validation, and improper input validation. From the top most prevalent weaknesses, we systematically derive a set of recommendations to help mitigate or eliminate attacks and breaches that occur during the update process. © IFIP international Federation for Information Processing 2025.

关键词： Firmware

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Fusion technology and Visualisation to Share STEM Data Using PETS Robots (i-COMEL) for Open Data Readiness Amongst Primary School Children

Fusion Technology and Visualisation to Share STEM Data Using...

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7th international conference on advances in Visual Informatics, IVIC 2021

作者： Badioze Zaman, Halimah Baharin, Hanif Ahmad, Azlina Jalan IKRAM-UNITEN Kajang Selangor43000 Malaysia Institute IR4.0 Universiti Kebangsaan Malaysia Bangi Selangor43600 Malaysia Bandar Baru Bangi Malaysia

ISBN: (纸本)9783030902346

the world is seeing rapid and dynamic technological innovations in the form of applications, tools, systems, or software that can help a nation's population, organisations and Government, make their administration and management more effective and efficient and most importantly at a more affordable price. Fusion technology, a hybrid concept practiced in Japan, Germany, which involves the integration of two or more technologies to develop products that can revolutionise the market. thus, this paper highlights a fusion technology innovation (integration of vision and motion as well as analytical technologies) in the form of Box Robot application or PETS Robots that are programmable, called i-COMEL, to share STEM data in a class activity on a lesson related to Solar Systems. this activity was conducted to help primary school students enhance critical and scientific thinking through the use of Computational thinking (CT) across STEM. In this activity students share data with other groups of students to prepare them for open data readiness. this was done through the use of PETS Robots that would use both vision and motion technologies to collect data based on the questions set, and these data were uploaded to the thinkSpeak server on the Internet to visualise the data and displayed for all students to share during the presentation in the classroom. Learning to share data amongst the very young generation of the population, is important as Malaysia reinvents itself and moves towards a smart and digital data driven society, Malaysia 5.0. Findings of the proof of concept (POC) conducted on i-COMEL, showed that fusion technology used in the form PETS Robots and integrated with Computational thinking (CT) across STEM for primary school students not only was a fun method of learning STEM subjects and acquiring critical and scientific skills but also an effective approach to open data readiness practice amongst primary school students. © 2021, Springer Nature Switzerland AG.

关键词： Students

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Application of Internet Plus: TCM Clinical Intelligent Decision Making 12th

Application of Internet Plus: TCM Clinical Intelligent Decis...

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12th international conference on advances in Swarm Intelligence, ICSI 2021

作者： Xie, Jun Dang, Sijie Xu, Xiuyuan Guo, Jixiang Zhang, Xiaozhi Yi, Zhang Chengdu China Machine Intelligence Laboratory College of Computer Science Sichuan University Chengdu China

ISBN: (纸本)9783030788100

To improve the electronic medical record database for traditional Chinese medicine (TCM) and pass on the experience of distinguished TCM practitioners using artificial intelligence technology for TCM clinical decision making. the clinical intelligent assisted decision-making system independently developed by hospital joint enterprises was used to standardize clinical decision making. To create a decision-making support tool, it adopted the approach of disease and syndrome differentiation of TCM;it also analyzed and modeled the empirical approach of distinguished TCM practitioners. Internet Plus information technology supported TCM clinical decision making and allowed more people to benefit from TCM services. Non-expert doctors can understand the system functions quickly;they can grasp a patient’s actual situation more efficiently and issue high-level prescriptions for TCM. through the development and application of the intelligent decision-making system for TCM, the diagnostic efficiency and ability of doctors has greatly improved. the system has attained its expected goal. © 2021, Springer Nature Switzerland AG.

关键词： Informatization

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Systematic Review of Common Factors Used to Measure Individuals’ Career Choice

Systematic Review of Common Factors Used to Measure Individu...

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7th international conference on advances in Visual Informatics, IVIC 2021

作者： Azman, Feninferina Abdul Ghapar, Azimah Ahmad Faudzi, Masyura Baskaran, Hasventhran Rahim, Fiza Abdul Universiti Tenaga Nasional 43000 Putrajaya Campus Jalan Ikram-Uniten Kajang Selangor43000 Malaysia Razak Faculty of Technology and Informatics Universiti Teknologi Malaysia Jalan Sultan Yahya Petra Kuala Lumpur54100 Malaysia

ISBN: (纸本)9783030902346

Many individuals are faced with the challenge of a career choice that is appropriate for them. this is due to the fact that decisions are made up of a variety of subjective judgments. As a result, selecting a career path without first assessing an individual’s suitability as a foundational step can result in an unfavorable outcome. this paper aims to investigate and summarize the evidence of common factors used in the domain of career guidance. this study adapts Systematic Literature Review (SLR) techniques by utilizing research questions and Boolean search strings to identify prospective studies from three established databases that are related to the research area. In this study, 28 articles, consisting of 17 journals and 11 conference proceedings, were selected through a systematic process. All articles underwent a rigorous selection protocol to ensure content quality according to formulated research questions. We categorize and document the common factors in career selection which can benefit in the development of a career decision-making system that helps individuals visualize their future career path. © 2021, Springer Nature Switzerland AG.

关键词： Decision making

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A Hybrid Algorithm for Multi-objective Permutation Flow Shop Scheduling Problem with Setup Times 12th

A Hybrid Algorithm for Multi-objective Permutation Flow Shop...

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12th international conference on advances in Swarm Intelligence, ICSI 2021

作者： Wang, Cuiyu Wang, Shuting Li, Xinyu School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9783030788100

this paper studies the multi-objective permutation flow shop scheduling problem (PFSP) with setup times. Firstly, the mathematical model of multi-objective PFSP with setup time is established, then based on the theory of Pareto, Genetic algorithm and Variable Neighborhood Search, a new hybrid algorithm is proposed, named as Multiple Objective Hybrid Genetic algorithm (MOHGA). Finally, a set of benchmark instances with different scales are used to evaluate the performance of MOHGA. Experimental results show that the MOHGA obtains some solutions better than those previously reported in the literature, which reveals that the proposed MOHGA is an effective approach for the optimization of multi-objective PFSP with setup time. © 2021, Springer Nature Switzerland AG.

关键词： Benchmarking

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Multi-Scale Oriented Basic Image Features Column for Handwritten Digit Recognition 12th

Multi-Scale Oriented Basic Image Features Column for Handwri...

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12th international conference on Soft Computing and Pattern Recognition, SoCPaR 2020 and 16th international conference on Information Assurance and Security, IAS 2020

作者： Gattal, Abdeljalil Djeddi, Chawki Jamil, Akhtar Bensefia, Ameur Department of Mathematics and Computer Science Larbi Tebessi University Tebessa Algeria Department of Computer Engineering Istanbul Sabahattin Zaim University Istanbul Turkey Higher Colleges of Technology CIS Division Abu Dhabi United Arab Emirates

ISBN: (纸本)9783030736880

Handwritten digits recognition is a key research problem in the domain of image analysis and pattern recognition. Specifically, the appearance approaches based on feature extraction have been proposed to solve many research issues. this paper presents a novel way of extending the oriented Basic Image Features column (oBIFs column) to multi-scale features. Moreover, this method is very efficient and robust for hand handwritten digit recognition as the changes in size, slant and shape have little effect on the accuracy. the proposed method is carried in two steps: first, we concatenate oBIF image for scale parameter at two or more scales to provide Multi-scale oBIFs. Second, the two variation Multi-Scale oBIFs are crossed to form columns at each location. Finally, a histogram is created from the occurrences of different patterns. the CVL dataset was considered to evaluate our approach, where the digits used where from different fonts, widths, and directions. We managed to achieve a good recognition of unnormalized digits in almost 96% of the cases, which is comparable with the state-of-the-art approaches. © 2021, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Character recognition

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Virtual and Augmented Reality: Enhancing the learning experience in higher education in the U.A.E. Current standing research directions 7

Virtual and Augmented Reality: Enhancing the learning experi...

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7th international conference on Information technology Trends, ITT 2020

作者： Xanthidis, Dimitrios Manolas, Christos Paul, Sujni Xanthidou, Ourania Koutzampasopoulou Computer and Information Science Higher Colleges of Technology Dubai United Arab Emirates Music and Sound Design for Media Ravensbourne University London United Kingdom University of Malaya Computer Science and Information Technology Kuala Lumpur Malaysia

ISBN: (纸本)9781728183787

In addition to the established and widespread technological tools and trends of the past decades, such as the surge of mobile computing, high-speed networks and social media, new technologies utilizing the increased power and capabilities of modern computers is developing rapidly. Perhaps, no better example of this can be found than the rapid developments in Virtual and Augmented Reality (VR/AR), that have recently made the step from the laboratories and specialized, bespoke training applications of the past, to the mainstream. advances in VR/AR have opened the floodgates to digital internships, virtual labs, and novel collaborative and experiential learning. the magnitude and impact of these emerging technologies is also evident on the significant interest in their application and use in various commercial, professional, and industrial contexts. Examples of these include, but are not limited to, the entertainment industries, specialized training, corporate demonstrations and conferencing, and prototyping and modelling in the technical and engineering areas. Since universities play a vital role in moulding tomorrow's talents, integrating such technologies can help them not only by supporting teaching and learning, but also by contributing to related research and enhancing the learning technology frameworks in their entirety. the aim of this research paper is to briefly discuss the position of these emerging technologies in the educational sector in general, and explore what their role, impact, and structure may be in the educational systems of the future with a focus on higher education in the U.A.E. Eventually, it will contribute by suggesting areas of interest for its future use in higher education in the U.A.E. © 2020 IEEE.

关键词： Augmented reality

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Intrusion Detection System Based on an Updated ANN Model 12th

Intrusion Detection System Based on an Updated ANN Model

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12th international conference on advances in Swarm Intelligence, ICSI 2021

作者： Xue, Yu Onzo, Bernard-marie Neri, Ferrante School of Computer and Software Nanjing University of Information Science and Technology Nanjing210044 China Jiangsu Key Laboratory of Data Science and Smart Software Jingling Institute of Technology Nanjing211169 China COL Laboratory School of Computer Science University of Nottingham Jubilee Campus Wollaton Road NottinghamNG8 1BB United Kingdom

ISBN: (纸本)9783030788100

An intrusion detection system (IDS) is a software application or hardware appliance that monitors traffic on networks and systems to search for suspicious activity and known threats, sending up alerts when it finds such items. In these recent years, attention has been focused on artificial neural networks (ANN) techniques, especially Deep Learning approach on anomaly-based detection techniques;because of the huge and unbalanced datasets, IDS encounters real data processing problems. thus, different techniques have been presented which can handle this problem. In this paper, a deep learning model or technique based on the Convolutional Neural Network (CNN) is proposed to improve the accuracy and precisely detect intrusions. the entire proposed model is divided into four stages: data collection, data pre-processing, the training and testing stage, and performance evaluation. © 2021, Springer Nature Switzerland AG.

关键词： Intrusion detection

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