M. Prakash , J. Abinesh , P. Malarvizhi , J. Jeba Emilyn , A. Sam Thamburaj , D. Vinod Kumar
{"title":"Evaluating Energy Consumption for Routing Selection using the Multi-Routing Clustering Protocol using Timeslot Transmission in Dynamic Path Selection in Wireless Sensor Networks","authors":"M. Prakash , J. Abinesh , P. Malarvizhi , J. Jeba Emilyn , A. Sam Thamburaj , D. Vinod Kumar","doi":"10.1016/j.procs.2024.12.027","DOIUrl":"10.1016/j.procs.2024.12.027","url":null,"abstract":"<div><div>Wireless sensor networks (WSNs) are cutting-edge technology that can be used in many fields requiring critical information. However, limited resource constraints, contextual connectivity, and lifecycle requirements drive designers to seek more efficient WSN infrastructures. Unbalanced energy utilization of sensor hubs during information steering in Wireless Sensor Networks (WSN). Accordingly, one of the principal configuration difficulties of remote sensor networks is to limit the energy utilization of sensor hubs. Therefore, many routing schemes are designed to efficiently utilize sensor nodes’ limited Energy. These schemes generally use low-power paths to transmit data. It turns out that using the same path is suboptimal given the network lifetime. To overcome this problem, a new method is introduced that uses a Multi-Route Clustering Protocol Using Timeslot Transmission (MRCP-TTDPS) with dynamic path selection. It consumes Energy on path selection. In the first step, multipath routing is configured to detect path quality, so this method uses Multipath Optimized Routing (MPRS) to send high-quality path data. The second stage uses Cluster-Based Optimal Path Selection (CORS) to establish the best energy path. The third stage develops energy consumption models. The amount of the hubs with the most noteworthy leftover Energy is chosen as the group top of each round. Every standard hub partakes in a group framed by neigh exhausting bunch heads. Every sensor hub sends identified information to the bunch head in each round. The group head sends the data to the base station. The results show that the model is better than the path model regarding path identifier energy utilization and path quality.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"252 ","pages":"Pages 251-259"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143376641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Suman Chowdhury , Apurba Kumar Saha , Dilip Kumar Das
{"title":"Hydroelectric Power Potentiality Analysis for the Future Aspect of Trends with R2 Score Estimation by XGBoost and Random Forest Regressor Time Series Models","authors":"Suman Chowdhury , Apurba Kumar Saha , Dilip Kumar Das","doi":"10.1016/j.procs.2025.01.004","DOIUrl":"10.1016/j.procs.2025.01.004","url":null,"abstract":"<div><div>This paper investigates the hydroelectric power trends in the future aspect using time series models- XGBoost & Random Forest Regressor. For estimating iterations on both models, a fixed epoch (500) is considered to analyze the performance based on the error parameters and r2 score. From the data analysis, it is seen that Random Forest Regressor has proven to be the better estimator obtaining r2 score of 0.962 than the XGBoost where r2 score is recorded as 0.926. Since hydroelectric power is harnessing the utmost prompt for mitigating the fossil fuel crisis, it is important to forecast the future aspect of this important energy profile. Hence a future aspect of hydroelectric power has been presented in this paper using both of these time series models.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"252 ","pages":"Pages 450-456"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abdelali Hadir , Naima Kaabouch , Fatima El Jamiy , Mohammed-Alamine El Houssain
{"title":"Optimized DV-Hop Localization Algorithm Using PSO for IoT and WSNs","authors":"Abdelali Hadir , Naima Kaabouch , Fatima El Jamiy , Mohammed-Alamine El Houssain","doi":"10.1016/j.procs.2025.03.089","DOIUrl":"10.1016/j.procs.2025.03.089","url":null,"abstract":"<div><div>Sensor node localization is a critical issue in various Internet of Things (IoT) and Wireless Sensor Network (WSN) applications that require precise location data. Among the proposed solutions, the DV-Hop algorithm has been widely adopted to address this issue. However, achieving high localization accuracy remains a significant research challenge. This study introduces a novel approach to minimizing errors in estimating the average hop size using a new formula. Furthermore, the metaheuristic particle swarm optimization (PSO) is integrated into the DV-Hop method to refine the estimated locations of sensor nodes, enhancing localization accuracy. Extensive simulations demonstrate that the proposed technique outperforms several existing methods. The results indicate that the proposed approach significantly improves localization accuracy, with the ODV-HopPSO algorithm surpassing existing methods in terms of error reduction.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"257 ","pages":"Pages 690-697"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143870154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bahareh Rahmatikargar, Abdul Rafey Khan, Pooya Moraidan Zadeh, Ziad Kobti
{"title":"Cross-Domain Recommendation: Leveraging Semantic Alignment and User Clustering to Address Data Sparsity","authors":"Bahareh Rahmatikargar, Abdul Rafey Khan, Pooya Moraidan Zadeh, Ziad Kobti","doi":"10.1016/j.procs.2025.03.091","DOIUrl":"10.1016/j.procs.2025.03.091","url":null,"abstract":"<div><div>Cross-domain recommender systems can address data sparsity by leveraging information from a data-rich domain to improve recommendations in a data-sparse domain. In this study, we consider two distinct domains that share common members but have different items. We propose a new approach to enhance recommendation accuracy in the sparse domain by utilizing semantic alignments and clustering techniques. We begin the process by aligning the domains using shared semantic information between them. After establishing this semantic alignment, we apply clustering techniques to group similar users within each domain. These user clusters are then aligned across domains, allowing us to transfer knowledge from the richer domain’s clusters to the sparser domain. By effectively bridging the gap between the domains, our method can enhance the accuracy of the recommendation. We have evaluated the performance of our proposed approach on the Amazon Movies and Amazon Books datasets.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"257 ","pages":"Pages 706-713"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143870156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fair and Stable Allocation in On-Demand Delivery Services for Meals and Groceries","authors":"Hui Shen, Krishna Murthy Gurumurthy, Yantao Huang, Abdelrahman Ismael, Olcay Sahin, Joshua Auld","doi":"10.1016/j.procs.2025.03.092","DOIUrl":"10.1016/j.procs.2025.03.092","url":null,"abstract":"<div><div>Most existing studies in the shared mobility literature address the request-vehicle assignment problem with a globally optimal goal, with only some consideration to the parties involved. This study deviates from the norm and employs a decentralized approach called stable and fair matching algorithm (SFMA) for the two-sided matching problem between requests and vehicles for on-demand delivery (ODD) of meals and groceries. The SFMA matching pairs are stable and fair such that no pair of requests and drivers prefer to change the match. With meal preparation and grocery packaging time considered in simulation, a case study in the metropolitan region of Austin, Texas is conducted with POLARIS, a large-scale agent-based mesoscopic traffic simulator, to illustrate the matching performance of SFMA. The delivery services are provided by operators closely resembling transportation network companies (TNCs) in the simulation. Results are compared to the existing default heuristic strategy (DHS) to demonstrate the SFMA benefits in terms of the average wait time, matching rate, vehicle usage rate, empty vehicle miles travelled (eVMT), and the average profit of vehicles. Several scenarios are investigated to assess the impacts of fleet size on performance of SFMA. Compared to DHS, SFMA improves the matching rate and profits earned per vehicle due to the preference consideration of TNC drivers while the resultant average wait times and eVMT increases slightly.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"257 ","pages":"Pages 714-721"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143870157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"LLM-Assisted Qualitative Data Analysis: Security and Privacy Concerns in Gamified Workforce Studies","authors":"Aisvarya Adeseye , Jouni Isoaho , Tahir Mohammad","doi":"10.1016/j.procs.2025.03.011","DOIUrl":"10.1016/j.procs.2025.03.011","url":null,"abstract":"<div><div>Large language models (LLMs) have transformed textual or qualitative data processing and analysis by automating and enhancing interpretive accuracy, particularly in complex areas like cybersecurity, ethics, and compliance. This study examines the effective-ness of local LLMs in analyzing qualitative research using the data gathered from the case study on “perspectives on security and privacy issues associated with the introduction of gamified workforce studies”. The research presented in this paper utilized 23 interview transcripts to evaluate three popular LLMs, namely LLaMA, Gemma, and Phi, running on a local infrastructure. We observed that LLaMA focuses on practical data security, Gemma on regulatory compliance, and Phi on ethical transparency and trust-building. By combining these models, researchers can gain a more comprehensive understanding of the complex implications of gamification in workforce studies. Local LLMs provide the added benefit of enhanced data privacy and security by processing sensitive data entirely within a controlled environment. This study explores the system and user prompts that can improve the interpretive accuracy of various qualitative research approaches, such as thematic analysis, frequency analysis, impact level analysis, sensitivity analysis, and disclosure analysis, demonstrating the potential of local LLMs for qualitative analysis for sensitive data. This study recommends the usage of LLMs for the initial stage of the qualitative analysis process to enhance the efficiency and effectiveness of subsequent completely manual or software-assisted manual analysis.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"257 ","pages":"Pages 60-67"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143870277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Incorporating the habit effect into scoring function of agent-based transport simulation","authors":"Chansung Kim , Kyoungju Kim , Jiyoung Park","doi":"10.1016/j.procs.2025.03.035","DOIUrl":"10.1016/j.procs.2025.03.035","url":null,"abstract":"<div><div>In studies of travel behavior using small-scale stated preference (SP) survey data, mode choice models have been used to predict the effects of modal shifts when the travel time or cost of a target transport mode changes. Recently, however, some studies have shown the existence of state dependence (also referred to as inertia or habit) in transport mode use, suggesting that failing to account properly for the effects of state dependence may lead to overestimated predictions of the impact of transport policies. State dependence refers to the inertia of travelers who continue using the same mode of transport even when their residential locations or the levels of transport service change. By contrast, large-scale origin-destination (OD)-based transport demand models (such as agent-based models [ABMs]) have not identified the need to control for state dependence, nor have there been related studies on this issue. This gap is due to the difficulty of implementing state-dependent models within OD-based or ABMs, whereas state-dependent mode choice models can be developed using small-scale SP data. Additionally, there is concern that failing to control for state dependence in ABMs may lead to an overestimation of the effects of transport policies. This study proposes a method to incorporate the habit effect into the scoring function of ABMs and implements the related code. Using a public transportation enhancement policy scenario, the study demonstrates that the habit effect influences the results.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"257 ","pages":"Pages 259-266"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143870319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Christos Mountzouris , Grigorios Protopsaltis , John Gialelis
{"title":"The Impact of Gender and Age on Thermal Comfort","authors":"Christos Mountzouris , Grigorios Protopsaltis , John Gialelis","doi":"10.1016/j.procs.2025.03.042","DOIUrl":"10.1016/j.procs.2025.03.042","url":null,"abstract":"<div><div>Thermal comfort is a highly subjective experience, reflecting an individual’s satisfaction with the prevailing thermal conditions in indoor spaces. Indoor climatic conditions are not the sole determinants shaping thermal experiences. Anthropogenic factors also exert a significant influence on them, underscoring the need for personalized approaches to enhance thermal comfort. This study investigated whether the anthropogenic factors of gender and age influence an individual’s thermal perception, analyzing data from multiple field studies on thermal comfort, which conducted across diverse climatic zones, geographical regions, and building types. The results demonstrated significant differences in thermal perception between males and females, with females exhibiting a greater propensity to report “cold” sensations and a reduced likelihood to report “neutral” sensations compared to males. Adolescents and young adults reported higher discomfort levels, while middle-aged and elderly exhibited a more evenly distributed balance between comfort and discomfort. Overall, the findings highlight the necessity to account for demographic diversity in thermal comfort assessments.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"257 ","pages":"Pages 314-320"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143870326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hui Min Lee , Ruhollah Jamali , Sanja Lazarova-Molnar
{"title":"A Conceptual Framework for Digital Twins of Multi-Agent Systems","authors":"Hui Min Lee , Ruhollah Jamali , Sanja Lazarova-Molnar","doi":"10.1016/j.procs.2025.03.043","DOIUrl":"10.1016/j.procs.2025.03.043","url":null,"abstract":"<div><div>Multi-agent Systems (MASs) are complex systems made up of agents that can be any entities with the ability to interact autonomously and make decentralized decision-making to solve complex problems. Data-driven Agent-based Modeling and Simulation (DDABMS) equips MASs with access to decisions based on near-real-time data, allowing for more informed decisions for systems’ enhancements. Digital Twins (DTs) can further enhance MASs by serving as virtual replicas that enable what-if scenarios exploration and allow continuous validation and refinement of the underlying models with real-time data from MASs. However, we discovered a gap in systematically integrating DTs with DDABMS, as existing efforts focus on specific problems and domains rather than providing a generalized framework to develop DTs with DDABMS. This paper addresses this gap by proposing a generalized framework to develop DTs for MASs with DDABMS. To demonstrate the practicability of our proposed framework for modeling and simulation of complex systems, we present an illustrative case study based on an epidemiological Susceptible-Infected-Recovered model.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"257 ","pages":"Pages 321-328"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143870327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Quinth Anthony A. Razuman, Brixzel John Q. Mabala, Malikey M. Maulana
{"title":"Webcam Eye-Tracking Browser Extension For General Navigation","authors":"Quinth Anthony A. Razuman, Brixzel John Q. Mabala, Malikey M. Maulana","doi":"10.1016/j.procs.2025.03.072","DOIUrl":"10.1016/j.procs.2025.03.072","url":null,"abstract":"<div><div>Webcam eye-tracking has emerged as a cost-effective alternative to traditional eye-tracking technologies, offering a promising solution for individuals with disabilities who face challenges in using standard input devices. In this study, the researchers developed a web browser extension leveraging webcam eye-tracking for web browsing and navigation. The extension was created using Webgazer.js, a webcam eye-tracking JavaScript library, and complemented by the development of four web applications optimized for webcam eye-tracking. Through user evaluations and testing, the system demonstrated encouraging results. Users found the system to be both useful and user-friendly, as evidenced by a progressive decline in error rates over time. This trend indicated successful iterative system improvements and increased user proficiency. Although variations in error rates were observed across different applications, suggesting varying levels of intuitiveness and user-friendliness, the overall findings affirmed the system’s utility and usability. This research achieved its objectives by effectively showcasing the extension’s potential as a robust tool for individuals with hand disabilities.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"257 ","pages":"Pages 561-568"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143870333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}