{"title":"[SCOReD 2021 Front cover]","authors":"","doi":"10.1109/scored53546.2021.9652695","DOIUrl":"https://doi.org/10.1109/scored53546.2021.9652695","url":null,"abstract":"","PeriodicalId":6762,"journal":{"name":"2021 IEEE 19th Student Conference on Research and Development (SCOReD)","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87660734","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}
Muhammad AmirulIzzat Bin Rahmat, H. J. Lee, Eric Pradana, P. Ker, E. Elsheikh, P. Thirunavakkarasu
{"title":"Development of Power Over Fiber for Medical Devices Application","authors":"Muhammad AmirulIzzat Bin Rahmat, H. J. Lee, Eric Pradana, P. Ker, E. Elsheikh, P. Thirunavakkarasu","doi":"10.1109/SCOReD53546.2021.9652701","DOIUrl":"https://doi.org/10.1109/SCOReD53546.2021.9652701","url":null,"abstract":"Copper wires are commonly used to transmit electrical power with several disadvantages in terms of vulnerability and maintenance cost. This project aims to demonstrate the transmission of power using optical fiber cables to power up a medical device. The objective of this project is to supply enough power to power up an Arduino microprocessor that will be connected to several sensors. A high-power laser was used as the input source, optical fiber as a medium to transmit power and a photodiode converter to convert the light energy back to electricity. Simulation work was also carried out using Optisystem to realize a much longer transmission range of up to 100 km. In the experimental work, the high-power laser was able to supply 5 V to enable an Arduino uno to operate successfully. For the simulation, it was possible to obtain 0.147 V output electrical voltage. Both the experimental and simulation works show good agreement and promise a great potential of power over fiber for future development and application.","PeriodicalId":6762,"journal":{"name":"2021 IEEE 19th Student Conference on Research and Development (SCOReD)","volume":"121 1","pages":"367-370"},"PeriodicalIF":0.0,"publicationDate":"2021-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88111518","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}
{"title":"Integration of PV Distributed Renewable Energy Generation into Distribution System using Time-Varying Weather and Load Data","authors":"Hanis Farhah Jamahori, M. Abdullah, Abid Ali","doi":"10.1109/SCOReD53546.2021.9652749","DOIUrl":"https://doi.org/10.1109/SCOReD53546.2021.9652749","url":null,"abstract":"The integration of distributed renewable energy generation (DREG) has attracted great attention due to its technical and economic benefits to both consumer and utilities sides. This paper presents the impact of integrating renewable Photovoltaic (PV) based DREG using time-varying weather and time-varying load model in IEEE 33-bus and IEEE 69-bus systems. 13-years historical solar irradiance data are used and the PV output curve is generated using Beta-distribution to demonstrate the random daily solar irradiance. Results of the time-varying load model with and without PV placement are presented and discussed. Findings showed that integrating PV generation into the distribution system has significantly reduced the overall system losses by 32.71% and 43.80% for 33-bus and 69-bus respectively. The minimum bus voltage has improved from 0.9038 to 0.9719 for 33-bus and from 0.9091 to 0.936 for 69-bus system.","PeriodicalId":6762,"journal":{"name":"2021 IEEE 19th Student Conference on Research and Development (SCOReD)","volume":"176 1","pages":"295-299"},"PeriodicalIF":0.0,"publicationDate":"2021-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88459156","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}
{"title":"Decentralized Battery Management System with Customized Hardware Components","authors":"A. Reindl, H. Meier, M. Niemetz, Sangyoung Park","doi":"10.1109/SCOReD53546.2021.9652737","DOIUrl":"https://doi.org/10.1109/SCOReD53546.2021.9652737","url":null,"abstract":"With an increasing number of sold electric vehicles (EVs), a large number of used batteries will be at disposal. How to deal with these resources is one of the major challenges in reducing the environmental impact of batteries throughout their entire life cycle. Heterogeneous cell parameters due to the different usage histories are a challenge for second-life use. The effort and cost of remanufacturing required to test and assemble a new battery pack is a further concern. Systems that combine battery packs/modules without full reassembly offer advantages such as cost and reusability. A decentralized battery management system (DBMS) provides a suitable architecture for such systems involving different types of batteries. In this paper, an architecture for a decentralized, battery state-dependent control is shown. The proposed DBMS supports various types of batteries, is scalable and flexibly adaptable for a wide range of applications. Despite the significant advantages, there are increased requirements to meet for the hardware implementation and the applied control strategies. Therefore, the necessary hardware components and their requirements are described and the hardware implementations are provided.","PeriodicalId":6762,"journal":{"name":"2021 IEEE 19th Student Conference on Research and Development (SCOReD)","volume":"1 1","pages":"350-355"},"PeriodicalIF":0.0,"publicationDate":"2021-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88949008","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}
Siti Maisarah Zainorzuli, Syahrul Afzal Che Abdullah, H. Z. Abidin, Fazlina Ahmat Ruslan
{"title":"Paddy Leaf Diseases Image Classification using Convolution Neural Network (CNN) Technique","authors":"Siti Maisarah Zainorzuli, Syahrul Afzal Che Abdullah, H. Z. Abidin, Fazlina Ahmat Ruslan","doi":"10.1109/SCOReD53546.2021.9652688","DOIUrl":"https://doi.org/10.1109/SCOReD53546.2021.9652688","url":null,"abstract":"Rice is Malaysian daily food consumption thus it is very important to ensure its production. There is a large manufacturer of rice in Malaysia every year to contain the need of millions of Malaysians but still not sufficient. Pests and diseases play an important role that contributes to the reduction of rice production. The damage by the diseases will become severe as the rice grain grows. In the early days, a paddy disease expert is required to identify and diagnosis the paddy leaf disease. The paddy disease expert will obtain several samples of paddy leaf images from the farmer. Afterwards, the required sample was sent to the biotech laboratory so that the affected leaf can be analyzed. The process for this method was time-consuming, inconvenient for the farmer and on top of that it is very costly. However, with the application of Deep Learning method the diseases can be detected at the early stage. Thus, precaution measures can be taken to lessen the damage as soon as possible. The objective of this work is to identify the types of paddy leaf diseases by using three types of Convolution Neural Network (CNN)models which are AlexNet, GoogleNet and ResNet-50. A preliminary study was conducted to select the appropriate model and to obtain the optimum parameter by using four different types of paddy leaf diseases datasets obtained from the Kaggle database. Then, the accuracy of the three CNN models were compared to determine the best method. Hence, the result shows the highest accuracy at 89.82% by setting the optimal configuration namely learning rate at 0.001 and number of epochs at 30.","PeriodicalId":6762,"journal":{"name":"2021 IEEE 19th Student Conference on Research and Development (SCOReD)","volume":"36 1","pages":"333-338"},"PeriodicalIF":0.0,"publicationDate":"2021-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89276523","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}
Suvendran Ravindran, L. Y. Weng, Khairul Salleh Bin Mohamed Sahari, A. Anuar, Muhammad Fairuz Bin Abdul Jalal, Zubaidi Faiesal Bin Mohamad Rafaai, Prashalini Naidu A-P Raventhran, Husni Bte Mohd Radzi, Salman Yussof
{"title":"Comparing Remote Heart Rate Accuracy Using Different Wavelengths","authors":"Suvendran Ravindran, L. Y. Weng, Khairul Salleh Bin Mohamed Sahari, A. Anuar, Muhammad Fairuz Bin Abdul Jalal, Zubaidi Faiesal Bin Mohamad Rafaai, Prashalini Naidu A-P Raventhran, Husni Bte Mohd Radzi, Salman Yussof","doi":"10.1109/SCOReD53546.2021.9652720","DOIUrl":"https://doi.org/10.1109/SCOReD53546.2021.9652720","url":null,"abstract":"Remote Heart Rate monitoring is a method of measuring Heart Rates using remote-Photoplethysmography signals obtained from image and signal processing. A set of facial images are collected and processed to extract the RGB values which varies due to the change. in blood volume in the blood vessels relative to respiration. Researchers have found multiple method of extracting the r-PPG signal, some have opted for specialized cameras while some uses advanced signal processing methods. Besides hardware and software chooses, researchers also have been debating on the three different wavelengths, Red, Green and Blue. This paper compares the Red, Green and Blue wavelengths from 20 set of pictures to study the best wavelength to be used for RHR measurements. The Heart rate from the 3 wavelengths is calculated and compared with a baseline HR. This paper introduces a RHR measuring system by comparing all 3 wavelengths, Red, Green and Blue with an average mean error of 11.7779%, 6.0633% and 8.6780% respectively introducing the green wavelength as the best wavelength for RHR monitoring.","PeriodicalId":6762,"journal":{"name":"2021 IEEE 19th Student Conference on Research and Development (SCOReD)","volume":"48 1","pages":"345-349"},"PeriodicalIF":0.0,"publicationDate":"2021-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87061699","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}
L. Fang, N. Kimpol, Muhammad Syahmi Bin Mohamed Motari, Junaidah Binti Ali Mohd Jobran, M. I. F. Bin Romli, Muhammad Zaid Bin Aihsan
{"title":"Designing Raindrop Energy Harvester Using PZT Piezoelectric Transducer","authors":"L. Fang, N. Kimpol, Muhammad Syahmi Bin Mohamed Motari, Junaidah Binti Ali Mohd Jobran, M. I. F. Bin Romli, Muhammad Zaid Bin Aihsan","doi":"10.1109/SCOReD53546.2021.9652698","DOIUrl":"https://doi.org/10.1109/SCOReD53546.2021.9652698","url":null,"abstract":"As an ecological source of renewable energy, the available kinetic energy of rainfall is not trifling, especially in tropical countries at the equators. The research on the use of piezoelectric transducers to harvest raindrop kinetic energy is gaining more and more attention recently. According to the Malaysian Meteorological Department (MMD), the annual average rainfall is 2,420 mm for Peninsular Malaysia, 2,630 mm for Sabah, and 3,830 mm for Sarawak. With annual average rainfall in Malaysia, this project is one of the solutions without wasting energy sources. Raindrops are a source of kinetic energy that can be utilised without wasting the source. To utilize the rainfall, using piezoelectric as an energy harvester can convert kinetic energy into electrical energy. Based on the problem highlighted, this research focuses on using Lead Zirconate Titanate (PZT) piezoelectric mechanism which can harvest kinetic energy from raindrops and convert the kinetic energy into electrical energy. Other than that, this research also investigates the simulated analysis on the best type of alternating current to direct current (AC-DC) harvesting circuit to generate highly efficient power amplification and evaluate the performance of the whole raindrop energy harvester system. With energy generated, it will provide enough electric energy and then be applied for low voltage electronic devices. An experimental result shows that piezoelectric in a series-parallel configuration combination can produce an output voltage of 0.236 V and 0.023 mA for output current.","PeriodicalId":6762,"journal":{"name":"2021 IEEE 19th Student Conference on Research and Development (SCOReD)","volume":"35 1","pages":"7-12"},"PeriodicalIF":0.0,"publicationDate":"2021-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87186068","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}
{"title":"Security of a Power System Under High Penetration of Wind Energy Considering Contingencies and Stability Margins","authors":"Pierre O. Dorile, Daniel R. Jagessar, R. McCann","doi":"10.1109/SCOReD53546.2021.9652753","DOIUrl":"https://doi.org/10.1109/SCOReD53546.2021.9652753","url":null,"abstract":"Security is a well-known function to any transmission operator and system planner. As the world is moving toward the decarbonization of the power industry, it is more complicated for the system operators to maintain an acceptable level of security in the power system operation. More large-scale wind farms are being incorporated into the grid, and thus, the voltage stability concern is increasing. In practice, several contingencies are imagined by the system operators to assess the reliability of the grid. Since voltage stability is one of the major menaces that can trigger voltage instability in a power system, this paper is attempting to present to the transmission system planners and operators a dedicated methodology to facilitate the incorporation of large-scale wind farms into a transmission grid under high penetration of wind power. the stability of a wind-dominated power system is discussed based on Q-V and P-V methodologies and some N-1 contingencies with the Remedial Action Schemes (RAS). Furthermore, a methodology to rank the worst contingencies and to predict the voltage collapse during the highest wind penetration level is presented. Simulations have been, extensively, carried out to examine the methodology and have provided valuable information about the static security of the wind-dominated power system. The results can be used by the transmission system operator to anticipate voltage instability or voltage collapse in the power system during high wind penetration levels.","PeriodicalId":6762,"journal":{"name":"2021 IEEE 19th Student Conference on Research and Development (SCOReD)","volume":"2 1","pages":"450-455"},"PeriodicalIF":0.0,"publicationDate":"2021-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75991811","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}
Japhet C. Hipolito, Alvin Sarraga Alon, Ryndel V. Amorado, Maricel Grace Z. Fernando, Poul Isaac C. De Chavez
{"title":"Detection of Underwater Marine Plastic Debris Using an Augmented Low Sample Size Dataset for Machine Vision System: A Deep Transfer Learning Approach","authors":"Japhet C. Hipolito, Alvin Sarraga Alon, Ryndel V. Amorado, Maricel Grace Z. Fernando, Poul Isaac C. De Chavez","doi":"10.1109/SCOReD53546.2021.9652703","DOIUrl":"https://doi.org/10.1109/SCOReD53546.2021.9652703","url":null,"abstract":"Waste in aquatic environments devastates aquatic habitats and offers a tall environmental and economical risk. Machine Vision might play a role in resolving this issue by detecting and finally eliminating debris. Using an augmented low sample size from a publicly available collection of underwater plastic waste, this research employed a YOLOv3 deep-learning system to visually recognize debris in realistic underwater environments. The detection model has a training and validation accuracy of 98.026 % and 94.582 %, respectively, according to the study's findings, with an mAP value of 98.15%. With its effectiveness in detecting underwater plastic waste, the recommended model is suitable for a variety of machine vision systems. The system has a 100% testing accuracy, with detection per frame accuracy ranging from 60.59% to 98.89%.","PeriodicalId":6762,"journal":{"name":"2021 IEEE 19th Student Conference on Research and Development (SCOReD)","volume":"55 1","pages":"82-86"},"PeriodicalIF":0.0,"publicationDate":"2021-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81276367","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}
Kit Guan Lim, Zhen Hua Chu, Helen Sin Ee Chuo, M. K. Tan, H. Lago, K. Teo
{"title":"Employing Portable Vehicle-To-Infrastructure Transceiver with Network Coding","authors":"Kit Guan Lim, Zhen Hua Chu, Helen Sin Ee Chuo, M. K. Tan, H. Lago, K. Teo","doi":"10.1109/SCOReD53546.2021.9652733","DOIUrl":"https://doi.org/10.1109/SCOReD53546.2021.9652733","url":null,"abstract":"In Vehicle-to-Infrastructure (V2I) technology, transmission between vehicles and infrastructures could be a major challenge due to the moving environment of vehicle, as well as the changing distance and speed of vehicle during the communication with infrastructure. This project starts with the review of past and present researches that are related to V2I communication. Prototype of wireless data transceivers are developed to identify the optimum transmission range. Store-and-forward (SF) algorithm is a process of storing and forwarding data from one data transceiver to another data transceiver. This technique is used to overcome the limitation of transmission range by continuously passing information from one point to another. However, during the transmission, the process taken for data exchanging will affect the entire transmission time. Thus, an algorithm named Network coding (NC) is introduced to reduce the transmission while maintaining the stable connection. NC is a process of combining two or more sources of data to reduce number of transmissions, which is very useful in data exchanging. These algorithms are computed in MATLAB and simulated for performance analysis. Apart from that, SF and NC are also programmed into wireless data transceivers to carry out real time experiment. Simulation results showed that SF uses 0.1664 s to exchange 256 bits data while NC spends 0.1266 s to complete the same mission. Hence NC is showing better performance than SF.","PeriodicalId":6762,"journal":{"name":"2021 IEEE 19th Student Conference on Research and Development (SCOReD)","volume":"83 1","pages":"466-471"},"PeriodicalIF":0.0,"publicationDate":"2021-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80378116","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}