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4th International Conference on Smart Electronics and Communication, ICOSEC 2023

作者： Gejea, Adugna Mekonnen Mayakannan, S. Palacios, Rosana Marianela Hamad, Abdulsattar Abdullah Sundaram, Barani Alghamdi, Wajdi Bule Hora University Department of Computer Science Ethiopia Vidyaa Vikas College of Engineering and Technology Department of Mechanical Engineering Tamilnadu Namakkal India Department of Marketing Engineering Riobamba060155 Ecuador Dijlah University College Department of Medical Laboratory Techniques Baghdad Iraq King Abdulaziz University Faculty of Computing and Information Technology Department of Information Technology Jeddah21589 Saudi Arabia

ISBN: (纸本)9798350300888

A truly universal quantum computer is still on the small scale at the present. There has been no transition from the laboratory use of quantum computers to more widespread use of the technology. As a result, quantum simulation has emerged as the accepted norm for supporting the validation of quantum algorithms. Many conventional algorithms benefit from grover's quantum search method because it accelerates their usage of search heuristics. For better multi-core load balancing, memory utilization, and simulation efficiency, this research presented a high-performance grover method simulation that combines the benefits of grover's technique with the parallel of cloud computing. This study also suggests and experimentally compares five distinct cloud-based computing architectures that are well-suited to quantum simulation. Through research and testing, this study also verifies the optimization's efficiency. Depending on the size of the current configuration, the experimental results reveal that the simulation can reach 31 bits. © 2023 IEEE.

关键词： Cloud computing

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Estimation of Bandwidth Requirement for Underwater Fiber Optic Networks

Estimation of Bandwidth Requirement for Underwater Fiber Opt...

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2023 IEEE International Conference on Paradigm Shift in Information Technologies with Innovative Applications in Global Scenario, ICPSITIAGS 2023

作者： Choudhary, Sanjay Sahoo, Girija Shankar Rajesh, A. Khurana, Jatin Yuvaraj, S. Shewale, Chaitali R. Vivekananda Global University Department of Mechanical Engineering Jaipur India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh India Faculty of Engineering and Technology Department of Computer Science Engineering Karnataka Bangalore India Centre of Interdisciplinary Research in Business and Technology Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Prince Shri Venkateshwara Padmavathy Engineering College Department of Electronics and Communication Engineering Chennai127 India Vishwakarma Institute of Information Technology Department of Information Technology Pune India

ISBN: (纸本)9798350329773

This paper affords an estimation of the bandwidth requirement for underwater fiber optic networks by thinking about transmission c together with signal attenuation, dispersion, and nonlinear effects (NLEs). The authors present an evaluation of the signal power level and the propagation of the signal in an underwater environment. from this evaluation, they obtain empirical expressions for the desired signal-to-noise ratio (SNR) to achieve a given bit-errors charge (BER) for different sorts of fiber optics. The impact of NLEs at the sign excellent is also investigated by means of modeling these effects with polynomial expressions under high electricity excitation of the optical fiber. The authors suggest numerous methods for estimating the bit fee required for a given data rate and BER, inclusive of the p-endurance method, which is based totally on an assessment of the energy of the received optical sign. The results acquired from this observation suggest that NLEs can extensively affect the overall performance of optical communications, leading to extra design concerns and extended machine requirements for underwater fiber optic networks. © 2023 IEEE.

关键词： Signal to noise ratio

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Protect Your Secrets: Understanding and Measuring Data Exposure in VSCode Extensions

Protect Your Secrets: Understanding and Measuring Data Expos...

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IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)

作者： Yue Liu Chakkrit Tantithamthavorn Li Li Faculty of Information Technology Monash University Melbourne Australia Department of Computer Science and Engineering Beihang University China

ISBN: (数字)9798331535100

ISBN: (纸本)9798331535117

Recent years have witnessed the emerging trend of extensions in modern Integrated Development Environments (IDEs) like Visual Studio Code (VSCode) that significantly enhance developer productivity. Especially, popular AI coding assistants like GitHub Copilot and Tabnine provide conveniences like automated code completion and debugging. While these extensions offer numerous benefits, they may introduce privacy and security concerns to software developers. However, there is no existing work that systematically analyzes the security and privacy concerns, including the risks of data exposure in VSCode extensions. In this paper, we investigate on the security issues of cross-extension interactions in VSCode and shed light on the vulner-abilities caused by data exposure among different extensions. Our study uncovers high-impact security flaws that could allow adversaries to stealthily acquire or manipulate credential-related data (e.g., passwords, API keys, access tokens) from other extensions if not properly handled by extension vendors. To measure their prevalence, we design a novel automated risk detection framework that leverages program analysis and natural language processing techniques to automatically identify potential risks in VSCode extensions. By applying our tool to 27,261 real-world VSCode extensions, we discover that 8.5 % of them (i.e., 2,325 extensions) are exposed to credential-related data leakage through various vectors, such as commands, user input, and configurations. Our study sheds light on the security challenges and flaws of the extension-in-IDE paradigm and provides suggestions and recommendations for improving the security of VSCode extensions and mitigating the risks of data exposure.

关键词： Productivity Visualization Privacy Codes Passwords Software Vectors Natural language processing Security Software development management

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Optimizing EDM parameters for enhanced mechanical properties of aged AA2024/SiC composite using Taguchi-GRA approach

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Interactions 2024年第1期245卷 210-210页

作者： Bhagat, Madhuri S. Seenivasan, S. Satishkumar, P. Saminathan, Rajasekaran Ishwarya, T. Department of Civil Engineering Yeshwantrao Chavan College of Engineering Maharashtra Nagpur India Department of Mechanical Engineering Rathinam Technical Campus Tamilnadu Coimbatore India Department of Mechanical Engineering College of Engineering and Computer Science Jazan University Jizan Saudi Arabia Faculty of Mathematics Department of Science & ampHumanities Rathinam Technical Campus Tamilnadu Coimbatore India

Enhancing the process parameters is crucial for dealing with aged AA2024 matrix composites as they affect various elements including mechanical properties, TWR, surface finish, and accuracy. AA2024 is selected as matrix in this study to enhance mechanical characteristics. Reinforcing material Silicon Carbide (SiC) was selected because of its exceptional mechanical qualities. So, SiC can enhance AA2024's mechanical properties. Easy fabrication, consistent reinforcement distribution, reduced oxidation and porosity susceptibility led to the stir cast method's selection for AA2024/SiC (0, 3, 6, 9, and 12 wt.%) manufacturing. The AA2024/9 wt.%SiC MMC was aged by heating it to 520 °C for 180 min and then cooling it in the furnace. The AA2024/9 wt.%SiC MMC was aged by heating it to 525 °C for 190 min and then cooling within furnace. The density of both composites was ascertained by means of a density test that was based on Archimedes' principle. The non-aged and aged AA2024 matrix composites were analyzed for their microhardness using a Vickers microhardness tester. Utilizing UTM, the tensile and compressive strengths of the composites were obtained. Their mechanical properties were used to identify the best combination of the manufactured AA2024/SiC MMCs. When comparing other combinations, the one with the best density, compressive and tensile strength, and hardness was found to be AA2024/9 wt.%SiC MMC. The objective of the aging procedure is to enhance the mechanical characteristics without incorporating reinforcements. EDM process parameters for an aged AA2024/9 wt.%SiC composite were optimized using the GRA approach, which is based on Taguchi design statistics. The optimization process utilized chromium concentration, current, and pulse-on time as input variables. SR and TWR were selected as optimization parameters. The sequence of input parameters listed as concentration of chromium, current and pulse on time. © The Author(s), under exclusive licence to Springer Natur

关键词： Microhardness

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Exploring the fixed point theory and numerical modeling of fish harvesting system with Allee effect

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Modeling Earth Systems and Environment 2025年第4期11卷 1-18页

作者： Yasin, Muhammad Waqas Akhtar, Mobeen Ahmed, Nauman Akgül, Ali Al-Mdallal, Qasem Department of mathematics University of Narowal Narowal Pakistan Department of Mathematics and Statistics The University of Lahore Lahore Pakistan Department of Electronics and Communication Engineering Saveetha School of Engineering SIMATS Tamilnadu Chennai India Department of Mathematics Art and Science Faculty Siirt University Siirt 56100 Turkey Department of Mathematics Mathematics Research Center Near East University Near East Boulevard Nicosia 99138 Turkey Department of Computer Engineering Biruni University Istanbul Topkapi 34010 Turkey Department of Mathematical Sciences UAE University P.O. Box 17551 Al Ain United Arab Emirates

Fish harvesting has a major role in nutritive food that is easily accessible for human nourishment. In this article, a reaction-diffusion fish harvesting model with the Allee effect is analyzed. The study of population models is a need of this hour because by using precautionary measures, mankind can handle the issue of food better. The basic mathematical properties are studied such as equilibrium analysis, stability, and consistency of this model. The Implicit finite difference and backward Euler methods are used for the computational results of the underlying model. The linear analysis of both schemes is derived and schemes are unconditionally stable. By using the Taylor series consistency of both schemes is proved. The positivity of the Implicit finite difference scheme is proved by using the induction technique. A test problem has been used for the numerical results. For the various values of the parameters, the simulations are drawn. The dynamical properties of continuous models, like positivity, are absent from the simulations produced by the backward Euler scheme. Implicit finite difference scheme preserves the dynamical properties of the model such as positivity, consistency, and stability. Simulations of the test problem prove the effectiveness of the Implicit finite difference scheme. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2025.

关键词： Allee effect Analysis Backward Euler scheme Holling type II Implicit finite difference scheme Reaction-diffusion model Simulations

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Time-series satellite remote sensing reveals gradually increasing war damage in the Gaza Strip

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National science Review 2024年第9期11卷 181-191页

作者： Shimaa Holail Tamer Saleh Xiongwu Xiao Jing Xiao Gui-Song Xia Zhenfeng Shao Mi Wang Jianya Gong Deren Li State Key Laboratoryof Information Engineering in Surveying Mapping and Remote SensingWuhan University Geomatics Engineering Department Faculty of Engineering at Shoubra Benha University School of Computer Science Wuhan University Collaborative Innovation Center of Geospatial Technology National Engineering Research Center for Multi-media Software Institute of Artificial IntelligenceWuhan University

War-related urban destruction is a significant global concern, impacting national security, social stability,people's survival and economic development. The effects of urban geomorphology and complex geological contexts during conflicts, characterized by different levels of structural damage, are not yet fully understood globally. Here we report how integrating deep learning with data from the independently developed Luo Jia3-01 satellite enables near real-time detection of explosions and assessment of different building damage levels in the Israel–Palestine conflict. We found that the damage continually increased from 17 October 2023 to 2 March 2024. We found 3747 missile craters with precision positions and sizes, and timing on vital infrastructure across five governorates in the Gaza Strip on 2 March 2024, providing accurate estimates of potential unexploded ordnance locations and assisting in demining and chemical decontamination. Our findings reveal a significant increase in damage to residential and educational structures, accounting for 58.4% of the total—15.4% destroyed, 18.7% severely damaged, 11.8% moderately damaged and 12.5% slightly damaged—which exacerbates the housing crisis and potential population displacement. Additionally, there is a 34.1% decline in the cultivated area of agricultural land, posing a risk to food security. The Luo Jia3-01 satellite data are crucial for impartial conflict monitoring, and our innovative methodology offers a cost-effective, scalable approach to assess future conflicts in various global *** first-time findings highlight the urgent need for an immediate ceasefire to prevent further damage and support the release of hostages and subsequent reconstruction efforts.

关键词： war damage monitoring satellite remote sensing missile crater detection type of damaged building building damage level detection Gaza Strip

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A Decision Support System for Enhancing Transportation Services Using Aspect-Based Sentiment Analysis

A Decision Support System for Enhancing Transportation Servi...

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Decision Aid sciences and Application (DASA), International Conference on

作者： Lamya Benaddi Charaf Ouaddi Lahbib Naimi Adnane Souha Abdeslam Jakimi Brahim Ouchao Department of Computer Sciences Software Engineering and Information Systems Engineering Team Faculty of Science and Technology Errachidia Moulay Ismail University Morocco

ISBN: (数字)9798350369106

ISBN: (纸本)9798350369113

This paper proposes an innovative decision support system based on sentiment analysis, specifically designed for the transportation sector. The system employs an aspect-based sentiment analysis approach, which accurately identifies and classifies customer opinions on key transportation service aspects such as comfort, driver behavior, punctuality, and vehicle condition. By integrating the BERT model, known for its advanced natural language processing capabilities, our system provides an in-depth and reliable analysis of customer sentiments. This analysis enables managers and decision-makers to better understand the strengths and weaknesses of the provided transportation services and to precisely target areas that require improvement. By offering actionable insights, our approach aims to enhance the user experience, improve service quality, and increase overall customer satisfaction.

关键词： Decision support systems Sentiment analysis Social networking (online) Reviews Soft sensors Transportation User interfaces User experience Driver behavior Usability

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Fast Shortest Path Polyline Smoothing With G1 Continuity and Bounded Curvature

arXiv

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arXiv 2024年

作者： Pastorelli, Patrick Dagnino, Simone Saccon, Enrico Frego, Marco Palopoli, Luigi Department of Information Engineering and Computer Science University of Trento Trento Italy Faculty of Engineering Free University of Bozen-Bolzano Bolzano Italy

In this work, we propose the Dubins Path Smoothing (DPS) algorithm, a novel and efficient method for smoothing polylines in motion planning tasks. DPS applies to motion planning of vehicles with bounded curvature. In the paper, we show that the generated path: 1) has minimal length, 2) is G1 continuous, and 3) is collision-free by construction, under mild hypotheses. We compare our solution with the state-of-the-art and show its convenience both in terms of computation time and of length of the compute path. Copyright © 2024, The Authors. All rights reserved.

关键词： Motion planning

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CARM:Context Based Association Rule Mining for Conventional Data

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computers, Materials & Continua 2021年第9期68卷 3305-3322页

作者： Muhammad Shaheen Umair Abdullah Faculty of Engineering&Information Technology Foundation UniversityIslamabadPakistan Department of Computer Science Barani Institute of Information TechnologyRawalpindiPakistan

This paper is aimed to develop an algorithm for extracting association rules,called Context-Based Association Rule Mining algorithm(CARM),which can be regarded as an extension of the Context-Based Positive and Negative Association Rule Mining algorithm(CBPNARM).CBPNARM was developed to extract positive and negative association rules from Spatiotemporal(space-time)data only,while the proposed algorithm can be applied to both spatial and non-spatial *** proposed algorithm is applied to the energy dataset to classify a country’s energy development by uncovering the enthralling interdependencies between the set of variables to get positive and negative *** association rules related to sustainable energy development are extracted by the proposed algorithm that needs to be pruned by some pruning *** context,in this paper serves as a pruning measure to extract pertinent association rules from non-spatial *** Probability Increment Ratio(CPIR)is also added in the proposed algorithm that was not used in *** inclusion of the context variable and CPIR resulted in fewer rules and improved robustness and ease of ***,the extraction of a common negative frequent itemset in CARM is different from that of *** rules created by the proposed algorithm are more meaningful,significant,relevant and *** accuracy of the proposed algorithm is compared with the Apriori,PNARM and CBPNARM *** results demonstrated enhanced accuracy,relevance and timeliness.

关键词： Association rules context CBPNARM non-spatial data CPIR support confidence interestingness

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Students’ Perspective on AI-Supported Assessment of Open-Ended Questions in Higher Education 15

Students’ Perspective on AI-Supported Assessment of Open-En...

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15th International Conference on computer Supported Education, CSEDU 2023

作者： Braun, Daniel Rogetzer, Patricia Stoica, Eva Kurzhals, Henry Department of High-tech Business and Entrepreneurship University of Twente Enschede Netherlands Faculty of Electrical Engineering Mathematics and Computer Science University of Twente Enschede Netherlands Faculty of Behavioural Management and Social Sciences University of Twente Enschede Netherlands

ISBN: (纸本)9789897586415

Artificial Intelligence (AI) is widely used for the assessment of multiple-choice questions. There is an increasing effort to also use it for open-ended questions. While the use of AI can benefit the learning of students, e.g. by increasing the number of feedback moments, most applications focus on saving costs by reducing the need for manual assessment. The perspective of teachers on this kind of automation has been studied extensively, the student perspective, however, is still under-researched. This paper presents the results of two surveys and a series of interviews among students to identify their perspective on AI-supported assessment and elaborate on under which conditions they would accept such technology. The results show that the majority of students (more than 80%), is, under certain conditions, open to AI-supported assessment. Most importantly, they stress that humans should still be involved in the assessment (human-in-the-loop). Copyright © 2023 by SCITEPRESS – science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)

关键词： Students

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