2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)最新文献

Design and Development of 3D Printed based Magnetic Coupling System for Autonomous Underwater Vehicle 基于3D打印的自主水下航行器磁耦合系统设计与开发

2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) Pub Date : 2023-06-08 DOI: 10.1109/HORA58378.2023.10156659

Iftikhar Ahmad, Ali Ghafail, A. Abdelrhman, S. Chithambaram, S. A. Imam, Mahmood Hammad

{"title":"Design and Development of 3D Printed based Magnetic Coupling System for Autonomous Underwater Vehicle","authors":"Iftikhar Ahmad, Ali Ghafail, A. Abdelrhman, S. Chithambaram, S. A. Imam, Mahmood Hammad","doi":"10.1109/HORA58378.2023.10156659","DOIUrl":"https://doi.org/10.1109/HORA58378.2023.10156659","url":null,"abstract":"Underwater robots are increasingly used for military, commercial, and other applications. They play a crucial role in exploring the oceans and performing tasks that are too dangerous or difficult for humans to do, such as scouting and detecting failures in marine structures/pipelines. However, due to contact-based vector thrust transmission, these robots face the problem of water leakage into their internal circuitry. Therefore, it is necessary to design and develop a fully contactless vector thrust transmission-based autonomous underwater robot with less weight in order to consume less power. In this research, a 3D printed based magnetic coupling system has been designed and developed for autonomous underwater vehicles (AUV). Various components of the magnetic coupling system were 3D printed using Polylactic Acid (PLA) material. Neodymium (NdFeB) magnets were used to develop the magnetic coupling for contactless vector thrust transmission. The magnetic coupling system was successfully tested both in-lab and in a real-time environment without any mishap. It was observed that the 3D printing of the different components reduces the weight of the AUV which helps in the contactless vector thrust transmission.","PeriodicalId":247679,"journal":{"name":"2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115131864","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}

引用次数: 0

Stock market prediction by combining CNNs trained on multiple time frames 结合cnn在多个时间框架上训练的股票市场预测

2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) Pub Date : 2023-06-08 DOI: 10.1109/HORA58378.2023.10156742

N. Nemati, Hadi Farahani, S. R. Kheradpisheh

引用次数: 0

Actor-Critic TD3-based Deep Reinforcement Learning for Energy Management Strategy of HEV 基于Actor-Critic td3的HEV能量管理策略深度强化学习

2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) Pub Date : 2023-06-08 DOI: 10.1109/HORA58378.2023.10156727

Ozan Yazar, S. Coskun, Lin Li, Feng Zhang, Cong Huang

引用次数: 0

Data Mining Management System Optimization using Swarm Intelligence 基于群体智能的数据挖掘管理系统优化

2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) Pub Date : 2023-06-08 DOI: 10.1109/HORA58378.2023.10156732

Asraa Ahmed Hasan Al_Mashhadani, Timur İnan, A. S. Ahmed

引用次数: 0

Effect of Drop-out Layers Inside an Long Short-Term Memory for Household Load Forecast Application 长短期记忆内退出层对家庭负荷预测应用的影响

2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) Pub Date : 2023-06-08 DOI: 10.1109/HORA58378.2023.10156722

Sanaullah Soomro, W. Pora

{"title":"Effect of Drop-out Layers Inside an Long Short-Term Memory for Household Load Forecast Application","authors":"Sanaullah Soomro, W. Pora","doi":"10.1109/HORA58378.2023.10156722","DOIUrl":"https://doi.org/10.1109/HORA58378.2023.10156722","url":null,"abstract":"Ensuring precise power load forecasting is highly important in planning the secure, steady, and cost-effective functioning of the power system. Grid planning and decision-making can be based on accurate long- and short-term power load forecasting. Recently, machine learning techniques have gained wide-spread adoption for both long- and short-term power load forecasting. Specifically, the Long Short-Term Memory (LSTM) is customized for time series data analysis. This research proposes an LSTM model for forecasting the power load of a single house containing electrical appliances over the next 20 days. We conducted a comparative analysis of the impact of dropout layers in load forecasting applications using the LSTM model. The proposed model comprises dropout rates of 0.2, 0.3, 0.4, 0.5, and 0.6, respectively. Their impact on load forecasting is examined. The experimental results demonstrate slight variations in predictions when altering dropout layers. The results show that the effect of dropout layers on the forecast varies the accuracy by only approximately 1%. However, the models with significant dropout rates are more general than those with lower or higher rates. So the model with a dropout rate of 0.4 is suggested.","PeriodicalId":247679,"journal":{"name":"2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123855223","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}

引用次数: 1

Performance Evaluation of various ML techniques for Software Fault Prediction using NASA dataset 基于NASA数据集的各种机器学习技术在软件故障预测中的性能评估

2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) Pub Date : 2023-06-08 DOI: 10.1109/HORA58378.2023.10156708

Baraah Alsangari, Göksel Bi̇rci̇k

{"title":"Performance Evaluation of various ML techniques for Software Fault Prediction using NASA dataset","authors":"Baraah Alsangari, Göksel Bi̇rci̇k","doi":"10.1109/HORA58378.2023.10156708","DOIUrl":"https://doi.org/10.1109/HORA58378.2023.10156708","url":null,"abstract":"In order to improve software dependability, Software Fault Prediction (SFP) has become an important research topic in the area of software engineering. To improve program dependability, program defect predictions are being utilized to aid developers in anticipating prospective issues and optimizing testing resources. As a result of this method, the amount of software defects may be forecast, and software testing resources are directed toward the software modules that have the greatest issues, enabling the defects to be fixed as soon as possible. As a result, this paper handles the issue related for SFP based on using a dataset known as JM1 provided by NASA, with 21 features. In this study, several Machine Learning (ML) techniques will be studied, which include Logistic Regression (LR), Random Forest (RF), Naive Bias (NB), Support Vector Machine (SVM), K-Nearest Neighbor (KNN) with three distance metric, Decision Tree (DT). Three cases of normalization will be involved with investigation which are the without sampling, Random over Sample and the SMOTE. Performance evaluation will be based on various parameters such as the ACC, Recall, Precision, and F1-Score. Results obtained indicate that RF achieve the higher ACC with values of 0.81%, 0.92%, and 0.88% respectively. The comprehensive findings of this study may be utilized as a baseline for subsequent studies, allowing any claim of improved prediction using any new approach, model, or framework to be compared and confirmed. In future, the variation of feature number will be involved with performance evaluation in handling SFP.","PeriodicalId":247679,"journal":{"name":"2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"291 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123462828","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}

引用次数: 0

Smart Home Based on IoT - Architecture and Practices 基于物联网的智能家居——架构与实践

2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) Pub Date : 2023-06-08 DOI: 10.1109/HORA58378.2023.10156739

Tsvetelina Mladenova, Vladimir Cankov

{"title":"Smart Home Based on IoT - Architecture and Practices","authors":"Tsvetelina Mladenova, Vladimir Cankov","doi":"10.1109/HORA58378.2023.10156739","DOIUrl":"https://doi.org/10.1109/HORA58378.2023.10156739","url":null,"abstract":"The emergence of IoT technology gives much more options for connectivity and intelligence to home appliances. The development of a web-based system for a smart home as a part of an IoT ecosystem gives the ability to control and view different items such as lightning, household appliances, computers, etc. via the Internet, regardless of the user's location. The basic functions that a smart home system should have are security, comfort and convenience, health care, energy consumption and efficiency, and indoor and outdoor care. The smart home is based on the usage of smart appliances and devices and an IoT infrastructure with sensors and controllers, all paired with an application that should have the following functions: alert, monitoring, control and management, and intelligence. This paper proposes a conceptual model for the design and development of an experimental system with four-tier architecture. The first tier consists of the hardware components (sensors, controllers, switches). The second tier is business logic - a software program on a microcomputer or microcontroller, used for communication with the hardware components, as well as to send the data to a server. The third tier is responsible for data management - usually, this is a server or a cloud solution that stores the data in a database. The fourth tier is also software-related and is responsible for the user-interactive part of the whole smart-home system. The graphical interface, with which the user interacts is on this tier, as well as the main business logic of the system, the decision-making rules, and the connection with third-party apps and APIs.","PeriodicalId":247679,"journal":{"name":"2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123488070","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}

引用次数: 1

LAN Based GIS Optimization for Coverage in Wireless Networks 基于局域网的GIS无线网络覆盖优化

2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) Pub Date : 2023-06-08 DOI: 10.1109/HORA58378.2023.10156690

Israa Salman Atiyah, G. Cansever, A. S. Ahmed

引用次数: 0

Evaluating AI-UAV Systems: A Combined Approach with Operator Group Comparison 评估人工智能无人机系统:一种与操作者群体比较相结合的方法

2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) Pub Date : 2023-06-08 DOI: 10.1109/HORA58378.2023.10156755

Omar Alharasees, M. S. Abdalla, Utku Kale

引用次数: 0

Electronic Voting Through Blockchain: A Survey 通过区块链进行电子投票:一项调查

2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) Pub Date : 2023-06-08 DOI: 10.1109/HORA58378.2023.10156749

Antonio de Castro, Carlos Coutinho

引用次数: 0