Procedia Computer Science最新文献

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Evaluating Energy Consumption for Routing Selection using the Multi-Routing Clustering Protocol using Timeslot Transmission in Dynamic Path Selection in Wireless Sensor Networks 基于时隙传输的多路由聚类协议的无线传感器网络动态路径选择能耗评估

Procedia Computer Science

Pub Date : 2025-01-01 DOI: 10.1016/j.procs.2024.12.027

M. Prakash , J. Abinesh , P. Malarvizhi , J. Jeba Emilyn , A. Sam Thamburaj , D. Vinod Kumar

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.

无线传感器网络（WSNs）是一项前沿技术，可用于许多需要关键信息的领域。然而，有限的资源约束、上下文连接和生命周期需求促使设计人员寻求更有效的WSN基础设施。无线传感器网络（WSN）信息转向过程中传感器集线器能量利用的不平衡。因此，远程传感器网络配置的主要困难之一是限制传感器集线器的能量利用。因此，为了有效利用传感器节点有限的能量，设计了许多路由方案。这些方案通常使用低功率路径来传输数据。事实证明，在给定网络生命周期的情况下，使用相同的路径是次优的。为了克服这一问题，提出了一种采用时隙传输多路由聚类协议（MRCP-TTDPS）的动态路径选择方法。它在路径选择上消耗能量。在第一步中，通过配置多路径路由来检测路径质量，因此该方法使用MPRS （multipath Optimized routing）发送高质量的路径数据。第二阶段使用基于聚类的最优路径选择（CORS）来建立最佳能量路径。第三阶段发展能源消费模型。具有最值得注意的剩余能量的集线器数量被选为每轮的组顶。每个标准的轮毂都加入了一个由令人筋疲力尽的一群人组成的群体。每个传感器集线器在每一轮中将识别的信息发送给束头。组头将数据发送到基站。结果表明，该模型在路径识别器能量利用率和路径质量方面优于路径模型。

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引用次数: 0

Hydroelectric Power Potentiality Analysis for the Future Aspect of Trends with R2 Score Estimation by XGBoost and Random Forest Regressor Time Series Models 基于XGBoost和随机森林回归时间序列模型R2评分的水电潜力未来趋势分析

Procedia Computer Science

Pub Date : 2025-01-01 DOI: 10.1016/j.procs.2025.01.004

Suman Chowdhury , Apurba Kumar Saha , Dilip Kumar Das

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.

本文利用时间序列模型XGBoost &；随机森林回归。对于两种模型的迭代估计，考虑固定历元（500），根据误差参数和r2分数分析性能。从数据分析中可以看出，Random Forest Regressor的r2评分为0.962，比XGBoost的r2评分为0.926更好。由于水力发电是缓解化石燃料危机的最大动力，因此预测这一重要能源概况的未来方面是很重要的。因此，本文使用这两种时间序列模型来呈现水电的未来方面。

引用次数: 0

Optimized DV-Hop Localization Algorithm Using PSO for IoT and WSNs 基于PSO的物联网和无线传感器网络DV-Hop定位算法优化

Procedia Computer Science

Pub Date : 2025-01-01 DOI: 10.1016/j.procs.2025.03.089

Abdelali Hadir , Naima Kaabouch , Fatima El Jamiy , Mohammed-Alamine El Houssain

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.

在各种需要精确位置数据的物联网（IoT）和无线传感器网络（WSN）应用中，传感器节点定位是一个关键问题。在提出的解决方案中，DV-Hop算法被广泛采用来解决这个问题。然而，实现高定位精度仍然是一个重大的研究挑战。本文介绍了一种利用新公式来最小化估计平均跳长误差的新方法。在此基础上，将元启发式粒子群算法（PSO）融入到DV-Hop方法中，对传感器节点的估计位置进行细化，提高了定位精度。大量的仿真结果表明，该方法优于现有的几种方法。结果表明，该方法显著提高了定位精度，ODV-HopPSO算法在减小误差方面优于现有方法。

引用次数: 0

Cross-Domain Recommendation: Leveraging Semantic Alignment and User Clustering to Address Data Sparsity 跨领域建议：利用语义对齐和用户聚类来解决数据稀疏问题

Procedia Computer Science

Pub Date : 2025-01-01 DOI: 10.1016/j.procs.2025.03.091

Bahareh Rahmatikargar, Abdul Rafey Khan, Pooya Moraidan Zadeh, Ziad Kobti

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.

跨域推荐系统可以通过利用来自数据丰富领域的信息来改进数据稀疏领域的推荐来解决数据稀疏问题。在本研究中，我们考虑两个不同的域，它们共享共同的成员，但有不同的项目。本文提出了一种利用语义对齐和聚类技术来提高稀疏域推荐精度的新方法。我们首先使用域之间共享的语义信息来对齐域。在建立这种语义一致性之后，我们应用聚类技术对每个域中的相似用户进行分组。这些用户集群然后跨领域对齐，允许我们将知识从丰富领域的集群转移到稀疏领域。通过有效地弥合领域之间的差距，我们的方法可以提高推荐的准确性。我们已经在Amazon Movies和Amazon Books数据集上评估了我们提出的方法的性能。

引用次数: 0

Fair and Stable Allocation in On-Demand Delivery Services for Meals and Groceries 食品杂货按需配送服务的公平稳定分配

Procedia Computer Science

Pub Date : 2025-01-01 DOI: 10.1016/j.procs.2025.03.092

Hui Shen, Krishna Murthy Gurumurthy, Yantao Huang, Abdelrahman Ismael, Olcay Sahin, Joshua Auld

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.

现有的共享出行研究大多以全局最优目标来解决请求-车辆分配问题，只考虑到相关各方。本研究偏离常规，采用一种分散的方法，称为稳定和公平匹配算法（SFMA）来解决餐饮和杂货按需配送（ODD）的请求和车辆之间的双边匹配问题。SFMA匹配对是稳定和公平的，因此没有对请求和驱动喜欢改变匹配。在模拟中考虑了饭菜准备和食品杂货包装时间，以德克萨斯州奥斯汀大都市区为例，利用基于大规模智能体的介观交通模拟器POLARIS进行了研究，以说明SFMA的匹配性能。在模拟中，运输服务由与运输网络公司（TNCs）非常相似的运营商提供。将结果与现有的默认启发式策略（DHS）进行比较，以证明SFMA在平均等待时间、匹配率、车辆使用率、空车行驶里程（eVMT）和车辆平均利润方面的优势。研究了几种情况，以评估机队规模对SFMA性能的影响。与DHS相比，由于跨国公司司机的偏好考虑，SFMA提高了匹配率和每辆车的利润，而由此产生的平均等待时间和eVMT略有增加。

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引用次数: 0

LLM-Assisted Qualitative Data Analysis: Security and Privacy Concerns in Gamified Workforce Studies 法学硕士辅助定性数据分析：游戏化劳动力研究中的安全和隐私问题

Procedia Computer Science

Pub Date : 2025-01-01 DOI: 10.1016/j.procs.2025.03.011

Aisvarya Adeseye , Jouni Isoaho , Tahir Mohammad

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.

大型语言模型（llm）已经通过自动化和提高解释准确性来改变文本或定性数据处理和分析，特别是在网络安全、道德和合规等复杂领域。本研究利用从“引入游戏化劳动力研究相关的安全和隐私问题视角”的案例研究中收集的数据，检验了本地法学硕士在分析定性研究方面的有效性。本文的研究利用23个访谈记录来评估在当地基础设施上运行的三种流行的llm，即LLaMA， Gemma和Phi。我们观察到，LLaMA侧重于实际数据安全，Gemma侧重于监管合规，Phi侧重于道德透明度和信任建立。通过结合这些模型，研究人员可以更全面地了解劳动力研究中游戏化的复杂含义。本地llm通过完全在受控环境中处理敏感数据，提供了增强数据隐私和安全性的额外好处。本研究探讨了可以提高专题分析、频率分析、影响水平分析、敏感性分析和披露分析等各种定性研究方法解释准确性的系统和用户提示，展示了地方法学硕士对敏感数据进行定性分析的潜力。本研究建议在定性分析过程的初始阶段使用llm，以提高后续完全手工或软件辅助手工分析的效率和有效性。

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引用次数: 0

Incorporating the habit effect into scoring function of agent-based transport simulation 将习惯效应纳入基于智能体的交通仿真评分函数

Procedia Computer Science

Pub Date : 2025-01-01 DOI: 10.1016/j.procs.2025.03.035

Chansung Kim , Kyoungju Kim , Jiyoung Park

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.

在使用小规模陈述偏好（SP）调查数据的出行行为研究中，模式选择模型被用来预测当目标交通方式的出行时间或成本发生变化时，模式转换的影响。然而，最近的一些研究表明，在运输方式的使用中存在着国家依赖（也被称为惯性或习惯），这表明如果不能适当地考虑到国家依赖的影响，可能会导致对运输政策影响的高估预测。状态依赖是指即使居住地点或交通服务水平发生变化，旅行者仍继续使用同一种交通方式的惯性。相比之下，基于大规模始发目的地（OD）的运输需求模型（如基于agent的模型[ABMs]）并没有确定控制状态依赖的必要性，也没有对此问题的相关研究。这种差距是由于在基于od或abm中实现状态依赖模型的困难，而状态依赖模式选择模型可以使用小规模SP数据开发。此外，有人担心，未能控制ABMs中的状态依赖性可能导致对运输政策影响的高估。本文提出了一种将习惯效应纳入ABMs评分函数的方法，并实现了相关代码。利用公共交通改善政策情景，研究表明习惯效应影响结果。

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引用次数: 0

The Impact of Gender and Age on Thermal Comfort 性别和年龄对热舒适的影响

Procedia Computer Science

Pub Date : 2025-01-01 DOI: 10.1016/j.procs.2025.03.042

Christos Mountzouris , Grigorios Protopsaltis , John Gialelis

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.

热舒适是一种高度主观的体验，反映了个人对室内热环境的满意度。室内气候条件不是形成热体验的唯一决定因素。人为因素也对其产生重大影响，强调需要个性化的方法来提高热舒适。本研究调查了性别和年龄等人为因素是否会影响个体的热感知，分析了来自不同气候带、地理区域和建筑类型的多个热舒适实地研究的数据。结果表明，男性和女性在热感知上存在显著差异，与男性相比，女性表现出更大的报告“冷”感觉的倾向，而报告“中性”感觉的可能性更低。青少年和年轻人报告的不适程度更高，而中年和老年人在舒适和不适之间表现出更均匀的平衡。总的来说，研究结果强调了在热舒适评估中考虑人口多样性的必要性。

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引用次数: 0

A Conceptual Framework for Digital Twins of Multi-Agent Systems 多智能体系统数字孪生的概念框架

Procedia Computer Science

Pub Date : 2025-01-01 DOI: 10.1016/j.procs.2025.03.043

Hui Min Lee , Ruhollah Jamali , Sanja Lazarova-Molnar

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.

多智能体系统（MASs）是由智能体组成的复杂系统，这些智能体可以是具有自主交互能力的任何实体，并可以做出分散的决策来解决复杂问题。数据驱动的基于代理的建模和仿真（DDABMS）使MASs能够访问基于近实时数据的决策，从而为系统的增强提供更明智的决策。数字孪生（Digital Twins, dt）可以作为虚拟副本进一步增强MASs，从而实现假设场景的探索，并允许使用来自MASs的实时数据对底层模型进行持续验证和改进。然而，我们发现在系统地集成DTs和DDABMS方面存在差距，因为现有的工作集中在特定的问题和领域，而不是提供一个通用的框架来开发DTs和DDABMS。本文通过提出一个使用DDABMS为MASs开发DTs的通用框架来解决这一差距。为了证明我们提出的复杂系统建模和模拟框架的实用性，我们提出了一个基于流行病学易感-感染-恢复模型的说明性案例研究。

引用次数: 0

Webcam Eye-Tracking Browser Extension For General Navigation 网络摄像头眼动追踪浏览器扩展一般导航

Procedia Computer Science

Pub Date : 2025-01-01 DOI: 10.1016/j.procs.2025.03.072

Quinth Anthony A. Razuman, Brixzel John Q. Mabala, Malikey M. Maulana

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.

网络摄像头眼动追踪已经成为传统眼动追踪技术的一种经济有效的替代方案，为那些在使用标准输入设备方面面临挑战的残疾人提供了一个有希望的解决方案。在这项研究中，研究人员开发了一个网络浏览器扩展，利用网络摄像头的眼球追踪来浏览和导航网页。该扩展是使用Webgazer.js创建的，这是一个网络摄像头眼动追踪JavaScript库，并辅以为网络摄像头眼动追踪优化的四个web应用程序的开发。通过用户评价和测试，该系统取得了令人鼓舞的效果。用户发现该系统既有用又用户友好，随着时间的推移错误率逐渐下降就是明证。这种趋势表明成功的迭代系统改进和用户熟练程度的提高。虽然在不同的应用程序中观察到错误率的变化，表明不同程度的直观性和用户友好性，但总体结果肯定了系统的实用性和可用性。这项研究通过有效地展示扩展的潜力作为一个强大的工具，手残疾的个人实现了其目标。

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