Pub Date : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9250957
Eshan Karunarathne, J. Pasupuleti, J. Ekanayake, D. Almeida
In today’s world, Distributed Generation (DG) has become an outstanding solution to cater to power system challenges caused due to the exponential growth of load demand. Many researchers have used various optimization techniques for the optimal planning of location and the size of the DGs. However, premature convergence, precision of the output and complexity are few major drawbacks of these optimization techniques. In this paper, Multi-Leader Particle Swarm Optimization (MLPSO) is utilized to determine the optimal locations and sizes of DGs with the intention of active power loss minimization. Thus, the primary drawback of premature convergence in existing optimization techniques is suppressed. A comprehensive performance analysis is carried out on IEEE 33 bus system. The findings reveal a 67.40% reduction of loss by integrating three DGs with unity power factor. The comparison of the results with other optimization techniques has demonstrated the effectiveness of MLPSO Algorithm.
{"title":"Multi-Leader Particle Swarm Optimization for Optimal Planning of Distributed Generation","authors":"Eshan Karunarathne, J. Pasupuleti, J. Ekanayake, D. Almeida","doi":"10.1109/SCOReD50371.2020.9250957","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9250957","url":null,"abstract":"In today’s world, Distributed Generation (DG) has become an outstanding solution to cater to power system challenges caused due to the exponential growth of load demand. Many researchers have used various optimization techniques for the optimal planning of location and the size of the DGs. However, premature convergence, precision of the output and complexity are few major drawbacks of these optimization techniques. In this paper, Multi-Leader Particle Swarm Optimization (MLPSO) is utilized to determine the optimal locations and sizes of DGs with the intention of active power loss minimization. Thus, the primary drawback of premature convergence in existing optimization techniques is suppressed. A comprehensive performance analysis is carried out on IEEE 33 bus system. The findings reveal a 67.40% reduction of loss by integrating three DGs with unity power factor. The comparison of the results with other optimization techniques has demonstrated the effectiveness of MLPSO Algorithm.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124927980","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}
Pub Date : 2020-09-27DOI: 10.1109/scored50371.2020.9250951
{"title":"Presentation Video","authors":"","doi":"10.1109/scored50371.2020.9250951","DOIUrl":"https://doi.org/10.1109/scored50371.2020.9250951","url":null,"abstract":"","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122494225","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}
Pub Date : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9251034
Sharifah Maryam Alhabshee, Abu Ubaidah bin Shamsudin
In this paper, a deep learning method is used to make a system for traffic sign recognition. You Only Look Once (YOLOv3) is used as it has a quick response in terms of real-time data reliability followed by high accuracy and robust performance. This study applies image preprocessing for better decision making for the recognition system in a different environment which includes lighting and weather. This is to ensure that the approach used is safe to be installed in autonomous vehicles. A comparison of images trained and tested will be demonstrated. The accuracy reach up to 100% and time to recognize traffic sign in image is in 36.907457 seconds. An analysis is done to ensure the error rate is reduced as training is done in a longer $period$.
本文采用深度学习的方法构建了一个交通标志识别系统。使用You Only Look Once (YOLOv3)，因为它在实时数据可靠性方面具有快速响应，其次是高精度和强大的性能。本研究将图像预处理应用于不同环境下的识别系统，包括光照和天气。这是为了确保所使用的方法可以安全地安装在自动驾驶汽车上。将演示训练和测试图像的比较。准确率达到100%，图像中交通标志的识别时间为36.907457秒。进行分析以确保在较长的$周期$中进行训练时降低错误率。
{"title":"Deep Learning Traffic Sign Recognition in Autonomous Vehicle","authors":"Sharifah Maryam Alhabshee, Abu Ubaidah bin Shamsudin","doi":"10.1109/SCOReD50371.2020.9251034","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9251034","url":null,"abstract":"In this paper, a deep learning method is used to make a system for traffic sign recognition. You Only Look Once (YOLOv3) is used as it has a quick response in terms of real-time data reliability followed by high accuracy and robust performance. This study applies image preprocessing for better decision making for the recognition system in a different environment which includes lighting and weather. This is to ensure that the approach used is safe to be installed in autonomous vehicles. A comparison of images trained and tested will be demonstrated. The accuracy reach up to 100% and time to recognize traffic sign in image is in 36.907457 seconds. An analysis is done to ensure the error rate is reduced as training is done in a longer $period$.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122538633","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}
Pub Date : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9251032
W. H. Ong, K. Tay, C. C. Chew, A. Huong
Language, an important feature in our daily life. It is a tool in communication used by humans. Currently, there is an increasing number of articles and journals flooded on the Internet It is hard to read and study au the related articles to users’ research areas manually because there is limited time for each people. One of the solutions is to summarize texts in the article. Natural Language Processing (NLP) is one of the features in Machine Learning (ML) and it is used for summarization This study was tried to investigate the performances of the three different extractive algorithms from NLP. The results were evaluated with the ROUGE evaluation package using ROUGE-1, ROUGE-2, ROUGE-L, and ROUGE-SU4 methods. 3 $theta$ samples from the BBC dataset were used as the training data in the evaluation process. Results generated from ROUGE toolkit show the performance of the Barrios et al.’s works is the best among the other two.
语言，是我们日常生活中的一个重要特征。它是人类使用的一种交流工具。目前，互联网上充斥着越来越多的文章和期刊，由于每个人的时间有限，很难手动阅读和研究用户研究领域的相关文章。解决方法之一是总结文章中的文本。自然语言处理(Natural Language Processing, NLP)是机器学习(Machine Learning, ML)的特征之一，用于总结。本研究试图探讨三种不同的NLP提取算法的性能。采用ROUGE评价包，采用ROUGE-1、ROUGE-2、ROUGE- l和ROUGE- su4方法对结果进行评价。在评估过程中，使用来自BBC数据集的3个$theta$样本作为训练数据。ROUGE工具包生成的结果表明，Barrios等人的作品在其他两种作品中表现最好。
{"title":"A Comparative Study of Extractive Summary Algorithms Using Natural Language Processing","authors":"W. H. Ong, K. Tay, C. C. Chew, A. Huong","doi":"10.1109/SCOReD50371.2020.9251032","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9251032","url":null,"abstract":"Language, an important feature in our daily life. It is a tool in communication used by humans. Currently, there is an increasing number of articles and journals flooded on the Internet It is hard to read and study au the related articles to users’ research areas manually because there is limited time for each people. One of the solutions is to summarize texts in the article. Natural Language Processing (NLP) is one of the features in Machine Learning (ML) and it is used for summarization This study was tried to investigate the performances of the three different extractive algorithms from NLP. The results were evaluated with the ROUGE evaluation package using ROUGE-1, ROUGE-2, ROUGE-L, and ROUGE-SU4 methods. 3 $theta$ samples from the BBC dataset were used as the training data in the evaluation process. Results generated from ROUGE toolkit show the performance of the Barrios et al.’s works is the best among the other two.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":"204 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133915810","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}
Pub Date : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9251011
S. N. M. Rozi, S. Salimin
Through the era of globalization, the aims to increase the using of renewable energy in many applications had become vital. The form of Hybrid Energy System (HES) by using solar and wind energy can produce power to supply several types of load including streetlight. This research aims to analyze the power output of a standalone hybrid PV solar and wind energy system by using MATLAB/SIMULINK based on data collection in Ayer Hitam, Johor, Malaysia. Both systems are connected to the common load through DC link. The power output of this hybrid energy system is used to supply the streetlight. The model of wind system is developed by using the Permanent Magnet Synchronous Generator (PMSG). The performance for each system is analyzed.
{"title":"Development of Hybrid Energy System for Streetlight in Ayer Hitam, Johor Using MATLAB/Simulink","authors":"S. N. M. Rozi, S. Salimin","doi":"10.1109/SCOReD50371.2020.9251011","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9251011","url":null,"abstract":"Through the era of globalization, the aims to increase the using of renewable energy in many applications had become vital. The form of Hybrid Energy System (HES) by using solar and wind energy can produce power to supply several types of load including streetlight. This research aims to analyze the power output of a standalone hybrid PV solar and wind energy system by using MATLAB/SIMULINK based on data collection in Ayer Hitam, Johor, Malaysia. Both systems are connected to the common load through DC link. The power output of this hybrid energy system is used to supply the streetlight. The model of wind system is developed by using the Permanent Magnet Synchronous Generator (PMSG). The performance for each system is analyzed.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134030613","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}
Pub Date : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9250993
Kok Hong Wong, Mohd. Zaki Daud
Electronic gadgets are more and more demanding nowadays. When the users are difficult to reach the grid or have no charger along with them, aside from conventional power bank, thermoelectric generator (TEG) can be another choice to charge up their electronic gadgets. Most of the TEG can only generates low voltage which is not enough to charge up the electronic gadgets. So, the voltage needs to be stepped up. Boost converter with voltage sensor or switching regulator is considered and both are compared in terms of efficiency performance, stability, and reliability by using software. In low voltage application, a switching regulator is more suitable to be used to step up TEG voltage for charging mobile devices compared with self-constructed boost converter.
{"title":"Simulation Studies on Converter for Thermoelectric Generator Mobile Charger","authors":"Kok Hong Wong, Mohd. Zaki Daud","doi":"10.1109/SCOReD50371.2020.9250993","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9250993","url":null,"abstract":"Electronic gadgets are more and more demanding nowadays. When the users are difficult to reach the grid or have no charger along with them, aside from conventional power bank, thermoelectric generator (TEG) can be another choice to charge up their electronic gadgets. Most of the TEG can only generates low voltage which is not enough to charge up the electronic gadgets. So, the voltage needs to be stepped up. Boost converter with voltage sensor or switching regulator is considered and both are compared in terms of efficiency performance, stability, and reliability by using software. In low voltage application, a switching regulator is more suitable to be used to step up TEG voltage for charging mobile devices compared with self-constructed boost converter.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134135928","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}
Pub Date : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9251029
Abdulrahman Ahmed Ghaleb Amer, S. Z. Sapuan, N. Nasimuddin
A microwave metasurface (MS) absorber for ISM band applications is proposed and studied. The proposed MS structure consists of two metallic layers separated by two dielectric FR4 materials with a thickness of 1.6 mm. An air gap with a thickness of 10 mm placed between the dielectric layers. The proposed MS absorber exhibits near-unity absorption and wider absorption bandwidth at an operating frequency of 2.4 GHz under normal incidence. For oblique incidence, it shows wider absorption bandwidth and an absorption value of more than 93% for different incident angles for TEM-mode and more than 93% at for TE mode. Moreover, a numerical analysis presented to explain the physical interpretation of the absorption mechanism in detail.
{"title":"Efficient Metasurface Absorber for 2.4 GHz ISM-Band Applications","authors":"Abdulrahman Ahmed Ghaleb Amer, S. Z. Sapuan, N. Nasimuddin","doi":"10.1109/SCOReD50371.2020.9251029","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9251029","url":null,"abstract":"A microwave metasurface (MS) absorber for ISM band applications is proposed and studied. The proposed MS structure consists of two metallic layers separated by two dielectric FR4 materials with a thickness of 1.6 mm. An air gap with a thickness of 10 mm placed between the dielectric layers. The proposed MS absorber exhibits near-unity absorption and wider absorption bandwidth at an operating frequency of 2.4 GHz under normal incidence. For oblique incidence, it shows wider absorption bandwidth and an absorption value of more than 93% for different incident angles for TEM-mode and more than 93% at for TE mode. Moreover, a numerical analysis presented to explain the physical interpretation of the absorption mechanism in detail.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":" 34","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132095815","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}
Pub Date : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9250981
Izhar Izzudin bin Jamaludin, Hasliza Hassan
Serial Peripheral Interface (SPI) is a commonly used communication protocol that allows serial data transfer between a master and a slave device over a short distance. However, the current implementation of the Serial Peripheral Interface has a low speed and clock synchronization issue. When it comes to automotive, there a few things that are needed to be taken into consideration to increase the performance of the interface device. The paper present the design, simulation, verification and optimize SPI based on automotive interface device specifications. This includes a higher speed for the interface device and the efficiency of power dissipation. The SPI has been successfully optimized with a 1000MHz speed, a power of $575.7694 mu mathrm{W}$ and a total area of 1102.81mm2. The speed and area achieved are well improved over the current design of SPI. Even though the total dissipation achieved is above the current implemented SPI design, it is acceptable due to the technical relation between power and speed in VLSI design.
串行外设接口(SPI)是一种常用的通信协议，它允许在主设备和从设备之间进行短距离的串行数据传输。然而，目前串行外设接口的实现存在低速和时钟同步问题。当涉及到汽车，有一些事情需要考虑到提高接口设备的性能。本文介绍了基于汽车接口器件规范的SPI的设计、仿真、验证和优化。这包括更高的接口器件速度和功耗效率。该SPI已成功优化，速度为1000MHz，功耗为575.7694 mu mathm {W}$，总面积为1102.81mm2。实现的速度和面积都比目前的SPI设计有了很大的提高。尽管实现的总耗散高于目前实现的SPI设计，但由于VLSI设计中功率和速度之间的技术关系，它是可以接受的。
{"title":"Design and Analysis of Serial Peripheral Interface for Automotive Controller","authors":"Izhar Izzudin bin Jamaludin, Hasliza Hassan","doi":"10.1109/SCOReD50371.2020.9250981","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9250981","url":null,"abstract":"Serial Peripheral Interface (SPI) is a commonly used communication protocol that allows serial data transfer between a master and a slave device over a short distance. However, the current implementation of the Serial Peripheral Interface has a low speed and clock synchronization issue. When it comes to automotive, there a few things that are needed to be taken into consideration to increase the performance of the interface device. The paper present the design, simulation, verification and optimize SPI based on automotive interface device specifications. This includes a higher speed for the interface device and the efficiency of power dissipation. The SPI has been successfully optimized with a 1000MHz speed, a power of $575.7694 mu mathrm{W}$ and a total area of 1102.81mm2. The speed and area achieved are well improved over the current design of SPI. Even though the total dissipation achieved is above the current implemented SPI design, it is acceptable due to the technical relation between power and speed in VLSI design.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":"462 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133945669","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}
Pub Date : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9250986
Nogol Memari, Saranaz Abdollahi, Mahdi Maghrouni Ganzagh, M. Moghbel
Diabetes is a serious medical condition and regular screening for diabetes is of great importance as treatment options are most effective in the early stages of diabetes. Digital imaging of retina is considered as a low-cost method for screening and could be used in conjunction with computer-based image processing techniques to automatically detect early signs of diabetes utilizing diabetes-related pathologies visible in retinal fundus images. This research proposes a novel computer-assisted diagnosis (CAD) system for assisting with the screening of the population as up to 50% of the affected population are not aware of having diabetes. Moreover, these screenings are often carried out by an optometrist who receives some training with the patients being referred to an ophthalmologist if they show symptoms. Having a computer-assisted diagnosis system assisting the optometrist during the screening can greatly increase the detection rate for patients with diabetes by providing a second opinion and highlighting any suspicious pathologies. For achieving the highest detection rate possible, a hybrid machine learning approach is proposed in this research by combining Deep Learning with the AdaBoost classifier. The proposed computer-assisted diagnosis system starts with the segmentation of the blood vessels. Then, microaneurysms and exudates are segmentation from the image. Statistical and regional features are then extracted utilizing first, second, and higher-order image features. A Deep Learning framework will be utilized for extracting additional statistical image descriptors as a Deep Learning has superior contextual analysis capabilities compared to other machine learning techniques. Finally, the most informative features are selected by a minimal-redundancy maximal-relevance feature selection approach with an AdaBoost classifier analyzing all the features and informing the operator regarding the patient’s condition. Ethereum Swarm blockchain-based decentralized cloud file storage provides the proposed CAD users with a secure storage olution to access the patient information and related images. The sensitivity, specificity, and accuracy of the classification will be measured under clinical conditions. Healthcare, government, and public users would receive the most benefit from this project.
{"title":"Computer-assisted diagnosis (CAD) system for Diabetic Retinopathy screening using color fundus images using Deep learning","authors":"Nogol Memari, Saranaz Abdollahi, Mahdi Maghrouni Ganzagh, M. Moghbel","doi":"10.1109/SCOReD50371.2020.9250986","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9250986","url":null,"abstract":"Diabetes is a serious medical condition and regular screening for diabetes is of great importance as treatment options are most effective in the early stages of diabetes. Digital imaging of retina is considered as a low-cost method for screening and could be used in conjunction with computer-based image processing techniques to automatically detect early signs of diabetes utilizing diabetes-related pathologies visible in retinal fundus images. This research proposes a novel computer-assisted diagnosis (CAD) system for assisting with the screening of the population as up to 50% of the affected population are not aware of having diabetes. Moreover, these screenings are often carried out by an optometrist who receives some training with the patients being referred to an ophthalmologist if they show symptoms. Having a computer-assisted diagnosis system assisting the optometrist during the screening can greatly increase the detection rate for patients with diabetes by providing a second opinion and highlighting any suspicious pathologies. For achieving the highest detection rate possible, a hybrid machine learning approach is proposed in this research by combining Deep Learning with the AdaBoost classifier. The proposed computer-assisted diagnosis system starts with the segmentation of the blood vessels. Then, microaneurysms and exudates are segmentation from the image. Statistical and regional features are then extracted utilizing first, second, and higher-order image features. A Deep Learning framework will be utilized for extracting additional statistical image descriptors as a Deep Learning has superior contextual analysis capabilities compared to other machine learning techniques. Finally, the most informative features are selected by a minimal-redundancy maximal-relevance feature selection approach with an AdaBoost classifier analyzing all the features and informing the operator regarding the patient’s condition. Ethereum Swarm blockchain-based decentralized cloud file storage provides the proposed CAD users with a secure storage olution to access the patient information and related images. The sensitivity, specificity, and accuracy of the classification will be measured under clinical conditions. Healthcare, government, and public users would receive the most benefit from this project.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133913622","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}
Pub Date : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9250932
N. Johari, K. Y. Lau, Z. Abdul-Malek
Polypropylene (PP) has recently been proposed as a good alternative to cross-linked polyethylene (XLPE) in the field of dielectrics due to PP’s beneficial properties to withstand higher thermal endurance of up to 150°C along with its ability to be recycled with ease, when compared with XLPE. However, PP is much stiffer than XLPE, making it unsuitable to be extruded as a high voltage cable insulation. Furthermore, PP has poor thermal conductivity under room temperature when compared with XLPE, which will otherwise result in inferior dielectric performances. Therefore, PP needs to be modified to alter its physical as well as electrical properties. In the current work, ethylene-propylene-diene monomer (EPDM) was proposed to be combined with PP to produce a PP blend with reduced overall stiffness. To increase the thermal conductivity of the PP blend, nanofillers were proposed to be added to the PP blend. For these reasons, the structure of the proposed materials was investigated by Fourier transform infrared spectroscopy (FTIR), thermogravimetric analysis (TGA), and differential scanning calorimetry (DSC).
{"title":"Structure of Polypropylene-based Nanocomposites containing Calcium Zirconate","authors":"N. Johari, K. Y. Lau, Z. Abdul-Malek","doi":"10.1109/SCOReD50371.2020.9250932","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9250932","url":null,"abstract":"Polypropylene (PP) has recently been proposed as a good alternative to cross-linked polyethylene (XLPE) in the field of dielectrics due to PP’s beneficial properties to withstand higher thermal endurance of up to 150°C along with its ability to be recycled with ease, when compared with XLPE. However, PP is much stiffer than XLPE, making it unsuitable to be extruded as a high voltage cable insulation. Furthermore, PP has poor thermal conductivity under room temperature when compared with XLPE, which will otherwise result in inferior dielectric performances. Therefore, PP needs to be modified to alter its physical as well as electrical properties. In the current work, ethylene-propylene-diene monomer (EPDM) was proposed to be combined with PP to produce a PP blend with reduced overall stiffness. To increase the thermal conductivity of the PP blend, nanofillers were proposed to be added to the PP blend. For these reasons, the structure of the proposed materials was investigated by Fourier transform infrared spectroscopy (FTIR), thermogravimetric analysis (TGA), and differential scanning calorimetry (DSC).","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115166311","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}
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