Procedia Computer Science最新文献_第4页

Classifying wireless IOT ICU traffic with machine learning models 利用机器学习模型对无线物联网 ICU 流量进行分类

Procedia Computer Science Pub Date : 2024-01-01 DOI: 10.1016/j.procs.2024.08.018

Fadi N. Sibai , Ahmad Sibai

{"title":"Classifying wireless IOT ICU traffic with machine learning models","authors":"Fadi N. Sibai , Ahmad Sibai","doi":"10.1016/j.procs.2024.08.018","DOIUrl":"10.1016/j.procs.2024.08.018","url":null,"abstract":"<div><p>In this work, we classified the wireless internet of things (IoT) traffic of the IoT Health intensive care unit (IHI) dataset which belongs to three general classes: patient monitoring, environment monitoring, and network attack. We trained and tested 7 machine learning (ML) models with Orange 3 including kNN, Decision Tree (tree), SVM, Random Forest (RF), Neural Network (NN), Gradient Boosting (GB), and AdaBoost (AB). With the original dataset, 5 ML models performed perfect classification. After pruning the dataset columns by keeping the features with the highest correlations with the label in the dataset, good classifications were obtained with only 4 TCP/IP features by the Gradient Boosting, kNN, and RF models with MSEs in the range 0.008-0.011, and R<sup>2</sup>s in the range 0.978-0.984. With only 6 MQTT features, Gradient Boosting, RF, Tree, and NN were the top classifiers with MSEs in the range 0.073-0.074, and R<sup>2</sup>s in the range 0.856-0.859. This work demonstrates the effectiveness of guiding the feature pruning process by the values of the correlation coefficients in order to minimize the long training times of ML models while achieving good accuracies.</p></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"241 ","pages":"Pages 123-128"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1877050924017290/pdf?md5=c399a0c1ccebd138c3e3a99fb71ebab6&pid=1-s2.0-S1877050924017290-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142087086","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}

引用次数: 0

A Novel Magnetic Coupler with PQI Cores for Wireless Power Transfer 带 PQI 磁芯的新型磁耦合器用于无线电力传输

Procedia Computer Science Pub Date : 2024-01-01 DOI: 10.1016/j.procs.2024.08.051

Xiaokun Li , Junwei Lu , Haoran Wang , Jingda Li

{"title":"A Novel Magnetic Coupler with PQI Cores for Wireless Power Transfer","authors":"Xiaokun Li , Junwei Lu , Haoran Wang , Jingda Li","doi":"10.1016/j.procs.2024.08.051","DOIUrl":"10.1016/j.procs.2024.08.051","url":null,"abstract":"<div><p>The magnetic coupler is a key component of the wireless power transfer (WPT) system, which greatly affects the performance of the WPT. This paper proposes a novel magnetic coupler with ferrite PQI cores for the WPT of small drones, which can enhance the magnetic coupling and improve power transfer efficiency. This magnetic coupler includes the transmitting (T<sub>X</sub>) side and receiving (R<sub>X</sub>) side. The T<sub>X</sub> side is made of a helical coil and a ferrite PQ core; and the R<sub>X</sub> side is made of a helical coil and a ferrite I core plate. Finite element simulations are used to investigate the performance of the proposed magnetic coupler with PQI cores, and compare it with a conventional planar magnetic coupler with two I core plates. In addition, an experimental platform is built to prove the validity of the proposed magnetic coupler with PQI cores. The results show that the coupling coefficient can reach 0.97, and it can exceed 0.446 even under the worst coupling conditions. Meanwhile, power transfer efficiency increases by 10.3% using the magnetic coupler with PQI cores.</p></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"241 ","pages":"Pages 379-384"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1877050924017629/pdf?md5=53565a6b9d6cc6b064c28eba25510501&pid=1-s2.0-S1877050924017629-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142087435","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}

引用次数: 0

Analysis of Cooling Loads and their Effects on Energy Costs for an Integrated Insulating Materials-Based Direct Iron Processing Plant 基于保温材料的综合直接炼铁厂冷却负荷及其对能源成本的影响分析

Procedia Computer Science Pub Date : 2024-01-01 DOI: 10.1016/j.procs.2024.08.034

Anthony A. Adeyanju

{"title":"Analysis of Cooling Loads and their Effects on Energy Costs for an Integrated Insulating Materials-Based Direct Iron Processing Plant","authors":"Anthony A. Adeyanju","doi":"10.1016/j.procs.2024.08.034","DOIUrl":"10.1016/j.procs.2024.08.034","url":null,"abstract":"<div><p>This study discusses the surge in energy consumption in the Caribbean region over the past decade, notably in Trinidad, where per capita consumption exceeds 6500 kWh. In response to rising electricity tariffs, energy sector entities are implementing conservation initiatives. The study focuses on a Direct Reduced Iron (DRI) plant in Trinidad's Point Lisas Industrial Estate, specifically examining alternatives to conventional air conditioning in a DRI processing laboratory. Various insulating materials were simulated using CHVAC software and evaluated against a 5-ton air-conditioning unit using the CLTD method. Analysis reveals standalone use of insulating systems in the laboratory is impractical due to orientation, location, and internal heat loads, necessitating a hybrid cooling system. Economically viable configurations involve a 3-ton A/C unit paired with PVC, foam, or fibreglass walls and ceilings. Despite higher initial costs, configurations with a 3-ton unit offer savings in maintenance and electricity. Findings extend beyond the laboratory, potentially influencing passive cooling material adoption and active cooling load reduction in other contexts, thus promoting sustainable energy practices.</p></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"241 ","pages":"Pages 248-257"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1877050924017459/pdf?md5=716a6ca5902fb56b0bde88ff58b9c3dc&pid=1-s2.0-S1877050924017459-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142088538","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}

引用次数: 0

The Role of Fog Device Density in IoT-Fog-Cloud Systems 物联网-雾-云系统中雾设备密度的作用

Procedia Computer Science Pub Date : 2024-01-01 DOI: 10.1016/j.procs.2024.08.033

Asma Almulifi , Heba Kurdi

{"title":"The Role of Fog Device Density in IoT-Fog-Cloud Systems","authors":"Asma Almulifi , Heba Kurdi","doi":"10.1016/j.procs.2024.08.033","DOIUrl":"10.1016/j.procs.2024.08.033","url":null,"abstract":"<div><p>Fog computing has emerged as an essential technology for enabling real-time, low-latency responses in cloud-based applications within Internet of Things (IoT) systems. This study explored the impact of the number of fog devices (NFDs) on the performance of IoT-fog-cloud systems. Through comparative analysis, two scheduling algorithms—First Come First Serve (FCFS) and Priority—were evaluated across different scales of system deployment. The results indicated that the FCFS algorithm was optimal for systems with fewer NFDs, whereas the Priority algorithm proved advantageous in larger settings. These findings not only establish guidelines for selecting appropriate scheduling strategies based on the scale of fog device deployment but also provide strategic insights for businesses on the optimal distribution of computational resources. This research aids companies in deciding whether to centralize resources in fewer branches with more employees or to decentralize into more branches with fewer employees, thereby optimizing operational efficiency and responsiveness.</p></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"241 ","pages":"Pages 242-247"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1877050924017447/pdf?md5=fe9721b7b723ecf8629422653401b8be&pid=1-s2.0-S1877050924017447-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142088539","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}

引用次数: 0

Design and Development of a Digital Twin Platform for Scenario-Based Testing of Road Vehicles 设计和开发用于道路车辆情景测试的数字孪生平台

Procedia Computer Science Pub Date : 2024-01-01 DOI: 10.1016/j.procs.2024.08.030

Akramul Azim , Ridwan Hossain

{"title":"Design and Development of a Digital Twin Platform for Scenario-Based Testing of Road Vehicles","authors":"Akramul Azim , Ridwan Hossain","doi":"10.1016/j.procs.2024.08.030","DOIUrl":"10.1016/j.procs.2024.08.030","url":null,"abstract":"<div><p>There currently exists a need for a platform that provides users with the ability to perform extensive, repeatable and meaningful simulation and testing for the hardware and software which compose vehicle/autonomous vehicle systems whilst being broadly accessible, widely supported and provides robust features and development tools. The contemporary implementations of similar systems are either financially exorbitant or highly contained. The system reflected in this paper aims to fill a gap in the industry of vehicle/autonomous vehicle development by extending on currently existing open-source software to provide a highly streamlined platform to support the production of general road vehicle and autonomous vehicle driving systems. The software tools and hardware components chosen for the system will be discussed, followed by the features constructed throughout the development process. The end result of the system is a platform that allows for quick, repeatable, accurate, and nearly endless testing of a digital twin of real life vehicles. This system will allow users to gain valuable simulation and testing data of hardware and software components in a manner which is not always feasible using the traditional methods of autonomous vehicle testing.</p></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"241 ","pages":"Pages 220-227"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1877050924017411/pdf?md5=8ffac2ccdcf0926841b22ca1d61838cf&pid=1-s2.0-S1877050924017411-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142088542","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}

引用次数: 0

A Hybrid Discrete Grey Wolf Optimizer with Local Search for Multi-UAV Patrolling 混合离散灰狼优化器与局部搜索用于多无人机巡逻

Procedia Computer Science Pub Date : 2024-01-01 DOI: 10.1016/j.procs.2024.08.031

Ebtesam Aloboud , Heba Kurdi

引用次数: 0

Experiment on UI evaluation using automated test 使用自动测试进行用户界面评估实验

Procedia Computer Science Pub Date : 2024-01-01 DOI: 10.1016/j.procs.2024.10.233

Kania Katherina , Dany Eka Saputra

引用次数: 0

White rice stem borer pest detection system using image-based convolution neural network 使用基于图像的卷积神经网络的白稻二化螟虫害检测系统

Procedia Computer Science Pub Date : 2024-01-01 DOI: 10.1016/j.procs.2024.10.278

Akhmad Saufi , Suharjito

{"title":"White rice stem borer pest detection system using image-based convolution neural network","authors":"Akhmad Saufi , Suharjito","doi":"10.1016/j.procs.2024.10.278","DOIUrl":"10.1016/j.procs.2024.10.278","url":null,"abstract":"<div><div>Preventing agricultural resource loss caused by pests remains a crucial issue. While technological advancements are being achieved, the current agricultural management methods and equipment have yet to meet the required level for precise pest control, a huge portion of the pest population analysis process is still conducted manually. As a solution to this issue, the development of a White Rice Stem Borer pest detection system has been conducted by applying Convolutional Neural Network (CNN) technology to calculate the pest population count at the research location. This system has been specifically designed to detect the White Rice Stem Borer using available traps. The method involves training data from a direct dataset obtained from the field, categorized into two positive and negative classes of the White Stem Borer pests. Six models have been trained from this dataset, utilizing two different architectures. Out of the six trained models, four showed potential overfitting, one exhibited underfitting, and one model demonstrated optimal results. The highest accuracy in image detection achieved by the most optimal CNN model was 97.35%, with a training accuracy of 98.54%. This best-performing model utilized an architecture with three Convolution layers, 50 Epochs, and an automatic data split with an 80:20 training-validation data ratio. From the research findings, it is concluded that this study can assist in automatically analyzing the quantity of White Stem Borer pests in a specific area without directly counting the number of pests from existing traps. However, the study still encounters a limitation—the detection process still requires substantial server resources and cannot be directly processed on the Raspberry PI device installed in the trap. Consequently, the detection relies on transmitting image data from the field device to the server before the detection process can occur.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"245 ","pages":"Pages 518-527"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142651450","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}

引用次数: 0

Public Perception and Acceptance of AI-based Mental Health Assessment Tools 公众对基于人工智能的心理健康评估工具的看法和接受程度

Procedia Computer Science Pub Date : 2024-01-01 DOI: 10.1016/j.procs.2024.10.311

Alex Sandro Steven , Muhammad Amien Ibrahim , Renaldy Fredyan

{"title":"Public Perception and Acceptance of AI-based Mental Health Assessment Tools","authors":"Alex Sandro Steven , Muhammad Amien Ibrahim , Renaldy Fredyan","doi":"10.1016/j.procs.2024.10.311","DOIUrl":"10.1016/j.procs.2024.10.311","url":null,"abstract":"<div><div>A survey consisting of 18 questions that lasted for 3 days from 10th May 2024 to 13th May 2024 was conducted to the public across Indonesian. In order to find out about public perception and acceptance of AI-based mental health assessment tools. One hundred and thirty participants responded to the survey, however only 107 of them passed the data quality check. from the 107 respondents, 61.7 % of them are males, and 38.3% of them are females, and 88% of the respondents are in the age range of 18-29 with the last level of education around high school and undergraduate. Using the score of 1-5, Most were familiar with AI, but over two-thirds hadn't used AI in mental health. They weakly believed in AI effectiveness (mean score: 3.08) and doubted it could match traditional methods (mean score: 2.88). Nearly 80% saw AI as helpful for early detection and intervention; 54.2% found current AI credible. Comfort with AI tools was moderate (score: 3.12), but confidence in AI vs. professional assessments was low (score: 2.78). Trust in AI tools is expected to grow in 10 years, with nearly 80% expecting widespread use and higher comfort (score: 3.64). AI is seen as beneficial for increasing mental health service use (score: 3.77) and improving access for underserved populations (70.1%). Privacy and security concerns were high (72.9%). Overall, the public sees AI-based mental health tools positively but still prefers human experts. The level of trust is expected to grow as technology progresses. Privacy concerns need addressing, but overall, acceptance is high.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"245 ","pages":"Pages 844-852"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652111","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}

引用次数: 0

Research on Video Sample Collection and Processing Methods Based on Artificial Intelligence Platform 基于人工智能平台的视频样本采集与处理方法研究

Procedia Computer Science Pub Date : 2024-01-01 DOI: 10.1016/j.procs.2024.10.073

An Hu , Qi Wang , Xiaoguang Xu , Yao Zhao , Qian Ji , Lei Pei

引用次数: 0