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2021 3rd International Conference on Electrical Engineering (EECon)最新文献

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Keynote Address 01: Digital Real-Time Simulation for Power and Energy Systems 主题演讲01:电力和能源系统的数字实时仿真
2021 3rd International Conference on Electrical Engineering (EECon) Pub Date : 2021-09-24 DOI: 10.1109/eecon52960.2021.9580962
D. Gurusinghe
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引用次数: 0
Cloud Movement Analysis Using Lucas Kanade Method 基于Lucas Kanade方法的云运动分析
2021 3rd International Conference on Electrical Engineering (EECon) Pub Date : 2021-09-24 DOI: 10.1109/EECon52960.2021.9580952
Sachini U. Weligamage, H. M. Ravindu, T. Bandara, L. Ranathunga
{"title":"Cloud Movement Analysis Using Lucas Kanade Method","authors":"Sachini U. Weligamage, H. M. Ravindu, T. Bandara, L. Ranathunga","doi":"10.1109/EECon52960.2021.9580952","DOIUrl":"https://doi.org/10.1109/EECon52960.2021.9580952","url":null,"abstract":"Weather forecasting is an important task as it helps people to manage their work. Cloud movement is a major factor for the variation of the weather. Along with the other factors, cloud movements can be used to predict the weather changes. This paper propose a method to analyze the cloud movements and calculate the motion vectors using Lucas Kanade method. Cloud velocity vectors can be used with cloud types, wind and thermal data to predict the cloud patterns which helps to forecast weather changes. Proposed method has implemented on a software platform and experiments has been carried out to validate the system.","PeriodicalId":118240,"journal":{"name":"2021 3rd International Conference on Electrical Engineering (EECon)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122711851","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
Techno-economic Feasibility of Implementing Carbon Capture and Storage Technology in Sri Lankan Power Sector 斯里兰卡电力部门实施碳捕集与封存技术的技术经济可行性
2021 3rd International Conference on Electrical Engineering (EECon) Pub Date : 2021-09-24 DOI: 10.1109/EECon52960.2021.9580880
K.M. Guruvita, R. Damayanthi
{"title":"Techno-economic Feasibility of Implementing Carbon Capture and Storage Technology in Sri Lankan Power Sector","authors":"K.M. Guruvita, R. Damayanthi","doi":"10.1109/EECon52960.2021.9580880","DOIUrl":"https://doi.org/10.1109/EECon52960.2021.9580880","url":null,"abstract":"Earth is consistently getting hotter with the highest recorded global temperature was in 2020, surpassing the previous record in 2016. Global warming is the principle explanation behind the temperature increase on the planet. As one of the maj or greenhouse gases, carbon dioxide has a strong influence on the global warming. Fossil fuel-based power generation is one of the primary source that release carbon dioxide to the environment. Carbon Capture and Storage (CCS) is an emerging global technology to reduce the carbon dioxide emissions from fossil fuel power generation plants. However, this technology is highly capital and resource intensive and those vary from country to country as well. Therefore, it is essential to estimate the economic feasibility and the impacts on the environmental resources beforehand. This study is an effort to estimate the technical and economic feasibility of implementing CCS technology in the Sri Lankan fossil fuel power plants.","PeriodicalId":118240,"journal":{"name":"2021 3rd International Conference on Electrical Engineering (EECon)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116998700","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
Workshop on ‘Soft Robotics for Biomedical Applications’: A soft robotics approach to understand how the brain organizes the body to make real-time survival in natural environments more efficient “生物医学应用的软机器人”研讨会:用软机器人方法来理解大脑如何组织身体，从而更有效地在自然环境中实时生存
2021 3rd International Conference on Electrical Engineering (EECon) Pub Date : 2021-09-24 DOI: 10.1109/eecon52960.2021.9580881
T. Nanayakkara
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引用次数: 0
Development of a Software Tool for Power Flow Analysis in a Distributed Generation Integrated Radial Distribution System 分布式发电综合径向配电系统潮流分析软件的开发
2021 3rd International Conference on Electrical Engineering (EECon) Pub Date : 2021-09-24 DOI: 10.1109/EECon52960.2021.9580946
P. Guruge, Asini Kodikara, P.G.D.S. Karunasena, L. Arachchige
{"title":"Development of a Software Tool for Power Flow Analysis in a Distributed Generation Integrated Radial Distribution System","authors":"P. Guruge, Asini Kodikara, P.G.D.S. Karunasena, L. Arachchige","doi":"10.1109/EECon52960.2021.9580946","DOIUrl":"https://doi.org/10.1109/EECon52960.2021.9580946","url":null,"abstract":"Distribution system power flow analysis has significant differences when compared with that of transmission systems owing to their special topological properties. Hence, application of conventional power flow methods on ill-conditioned distribution systems brings out unsatisfactory results. Integration of distributed generation has caused the distribution system to become no longer passive in nature, highlighting the importance of more precise algorithms for power flow analysis. Solving power flow problems, which are mostly based on solving systems of non-linear algebraic equations can be efficiently done using software tools. However, most of the available software tools are focused on transmission systems and are very expensive. This study focuses on coming up with a software tool to solve power flow problems in distributed generation integrated radial distribution systems, which can be used as a teaching tool at universities. The proposed algorithm is based on the Forward Backward Sweep Method, and attempts have been made to model each distribution system component in a way that reflects the system parameters reasonably. Algorithm was tested on standard IEEE 4 Bus system, IEEE 13 Bus system and IEEE 15 Bus system, and the results were analyzed to assess the validity of the proposed algorithm.","PeriodicalId":118240,"journal":{"name":"2021 3rd International Conference on Electrical Engineering (EECon)","volume":"28 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133043110","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
Object Identification using Support Vector Regression for Haptic Object Reconstruction 基于支持向量回归的触觉物体重建目标识别
2021 3rd International Conference on Electrical Engineering (EECon) Pub Date : 2021-09-24 DOI: 10.1109/EECon52960.2021.9580959
Praveena W. Dewapura, K.D.M. Jayawardhana, A. Harsha, S. Abeykoon
{"title":"Object Identification using Support Vector Regression for Haptic Object Reconstruction","authors":"Praveena W. Dewapura, K.D.M. Jayawardhana, A. Harsha, S. Abeykoon","doi":"10.1109/EECon52960.2021.9580959","DOIUrl":"https://doi.org/10.1109/EECon52960.2021.9580959","url":null,"abstract":"The lack of realistic haptic feedback has become a significant barrier to achieve realization in virtual reality. If an object is to be reproduced in the haptic dimension, it's essential to analyze the obj ect behavior for mechanical inputs. Nevertheless, prior studies have considered model-based approaches to model the behavior of the real object for reconstruction, and the conventional spring-damper model was the most widely used. However, proper object identification is crucial in accurate haptic object modeling for reconstruction. Thus, this paper proposes an AI-based approach using a nonlinear regression algorithm, Support Vector Regression (SVR). AI algorithm predicts the object's response for motion parameters by analyzing the nonlinear responses from the object extracted through a sensorless sensing system based on Disturbance Observer (DOB) and Reaction Force Observer (RFOB). Furthermore, the viability of the proposed approach is demonstrated by comparing it to the conventional model-based approach.","PeriodicalId":118240,"journal":{"name":"2021 3rd International Conference on Electrical Engineering (EECon)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121143393","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
Short-term Wind Power Forecasting Using a Markov Model 基于马尔可夫模型的短期风电预测
2021 3rd International Conference on Electrical Engineering (EECon) Pub Date : 2021-09-24 DOI: 10.1109/EECon52960.2021.9580963
Pulendran Jeyakumar, Nethmini Kolambage, Nalin Geeganage, Gihan Amarasinghe, S. Abeygunawardane
{"title":"Short-term Wind Power Forecasting Using a Markov Model","authors":"Pulendran Jeyakumar, Nethmini Kolambage, Nalin Geeganage, Gihan Amarasinghe, S. Abeygunawardane","doi":"10.1109/EECon52960.2021.9580963","DOIUrl":"https://doi.org/10.1109/EECon52960.2021.9580963","url":null,"abstract":"Large-scale wind power integration to power systems has been rapidly increasing since the last decade. However, the reliability of power systems tend to degrade due to the intermittency and the inability to control the wind power generation. Future wind power generation forecasts can be used to reduce the impacts of intermittency and un controllability of wind power on the reliability of power systems. This paper proposes Markov chain-based models for the short-term forecasting of wind power. First and second order models are used as they require lesser memory and have lower complexities. Seasonal variation is also incorporated into the proposed model to further improve the accuracy. Results obtained from both Markov models are validated with real wind power output data and evaluated using evaluation metrics such as Mean Square Error and Root Mean Square Error. The results show that the accuracy of the first-order and second-order Markov models for a high wind regime is 81.33% and 82.61 %, respectively and for a low wind regime is 83.50% and 89.27% respectively.","PeriodicalId":118240,"journal":{"name":"2021 3rd International Conference on Electrical Engineering (EECon)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124422468","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
Analysis of Torque Sensorless Steer by Wire System Using the Bilateral Tele-Operation Concept 基于双向遥控概念的无扭矩传感器线系转向分析
2021 3rd International Conference on Electrical Engineering (EECon) Pub Date : 2021-09-24 DOI: 10.1109/EECon52960.2021.9580870
Esala H. Senevirathne, A. Harsha, S. Abeykoon, W. M. Theekshana, G. Wijewardhana
{"title":"Analysis of Torque Sensorless Steer by Wire System Using the Bilateral Tele-Operation Concept","authors":"Esala H. Senevirathne, A. Harsha, S. Abeykoon, W. M. Theekshana, G. Wijewardhana","doi":"10.1109/EECon52960.2021.9580870","DOIUrl":"https://doi.org/10.1109/EECon52960.2021.9580870","url":null,"abstract":"The mechanical linkage of the steering column can ideally be replaced by a bilateral controller-based steer by wire system. This paper presents an intuitive method of designing a bilaterally controlled steer by wire system based on disturbance observers and reaction torque observers. The presented system can overcome the force sensing demerits of traditional force sensors as well as the demerits of existing steer by wire systems based on bilateral control systems. Feedback torque from the steering rack to the steering wheel conveys important data about the road conditions as well as the vehicle conditions to the driver. Hence, accurate feedback to the driver is vital for smooth vehicle handling. The presented method has the capability of tuning the system as per the desire. The validity of the proposed method has been verified through simulations using real-world vehicle and controller data.","PeriodicalId":118240,"journal":{"name":"2021 3rd International Conference on Electrical Engineering (EECon)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117136341","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
Pose Estimation of a Robot Arm from a Single Camera 基于单相机的机械臂姿态估计
2021 3rd International Conference on Electrical Engineering (EECon) Pub Date : 2021-09-24 DOI: 10.1109/EECon52960.2021.9580957
Kiruthikan Sithamparanathan, Sarangan Rajendran, Pirakash Thavapirakasam, A. Harsha, S. Abeykoon
{"title":"Pose Estimation of a Robot Arm from a Single Camera","authors":"Kiruthikan Sithamparanathan, Sarangan Rajendran, Pirakash Thavapirakasam, A. Harsha, S. Abeykoon","doi":"10.1109/EECon52960.2021.9580957","DOIUrl":"https://doi.org/10.1109/EECon52960.2021.9580957","url":null,"abstract":"This paper describes a vision based deep learning approach to estimate the pose of a robot arm from a single camera input, without any depth information. Conventionally, pose of robot arm is determined using encoders which sense the j oint angles, and then the pose of each link (including the end effector) relative to the robot base is obtained from the direct kinematics of the manipulator. But there may be inaccuracies in the determined pose when the encoders or the manipulators are malfunctioning. This paper presents an approach based on computer vision, where a single RGB camera is fixed at a distance from the robot arm. Based on the kinematics of the manipulator and the calibrated camera, the input 2-dimensional image is reconstructed in 3-dimensional form and the pose of the manipulator is determined by means of a deep network model trained on synthetic data. Furthermore, a graphical user interface (GUI) is developed, which simplifies the output interpretation for users who operate the implemented system. Finally, the effectiveness of the proposed approach is demonstrated via several examples and results are presented. The proposed approach cannot entirely replace the function of encoders. Instead, it can be treated as a backup method which provides a reference solution.","PeriodicalId":118240,"journal":{"name":"2021 3rd International Conference on Electrical Engineering (EECon)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127356778","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
Message from the Publications Chair 出版物主席的致辞
2021 3rd International Conference on Electrical Engineering (EECon) Pub Date : 2021-09-24 DOI: 10.1109/eecon52960.2021.9580878
{"title":"Message from the Publications Chair","authors":"","doi":"10.1109/eecon52960.2021.9580878","DOIUrl":"https://doi.org/10.1109/eecon52960.2021.9580878","url":null,"abstract":"","PeriodicalId":118240,"journal":{"name":"2021 3rd International Conference on Electrical Engineering (EECon)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130474839","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
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