TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON)最新文献_第2页

Static Characterisation of Gallium Nitride HEMTs at Cryogenic Temperatures 低温下氮化镓hemt的静态表征

TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) Pub Date : 2021-12-07 DOI: 10.1109/TENCON54134.2021.9707264

Samuel Mora, Henry Seaton, Soren Subritzky, Dylan Toms, A. Lapthorn, B. Heffernan

{"title":"Static Characterisation of Gallium Nitride HEMTs at Cryogenic Temperatures","authors":"Samuel Mora, Henry Seaton, Soren Subritzky, Dylan Toms, A. Lapthorn, B. Heffernan","doi":"10.1109/TENCON54134.2021.9707264","DOIUrl":"https://doi.org/10.1109/TENCON54134.2021.9707264","url":null,"abstract":"Understanding the cryogenic performance of Gal-lium Nitride (GaN) devices is essential for determining their suitability for use in the electrification of large-scale transport such as aircraft, where the power electronics may need to withstand cryogenic temperatures. In this paper we investigate the temperature relationship of the channel on-resistance and gate threshold voltage of various GaN devices, using liquid nitrogen as an inexpensive and effective cryogenic medium. Two cascode-configuration high electron mobility transistors (Cascode HEMT) and two enhancement mode high electron mobility transistors (E-HEMT) devices, each from different manufacturers were selected to ensure a range of technologies were covered. The on-resistance of GaN devices was found to decrease approximately linearly with reducing temperature, until a knee-point is reached whereupon the on-resistance rises. One E-HEMT device did not reach a knee point, indicating the need for further testing at lower temperatures to determine whether, or where such a knee point exists. The device with the lowest normalised on resistance at -196.6°C exhibited 32.8% of its room temperature value, while the device with the highest normalised on resistance showed 89.3% of its room temperature value. It was also found that the gate thresh-old voltage shows temperature dependency. For both Cascode manufacturers, the threshold voltage increased linearly with decreasing temperature. For one of the E-HEMTs the threshold voltage increased non-linearly with decreasing temperature. For the other E-HEMTs the threshold voltage decreased linearly with decreasing temperature. Initial results indicate that GaN devices are compatible with operation in or near cryogenic environments. Further characteristics need investigation to fully confirm suitability. Output characteristics, as well switching rise and fall times may change in cryogenic conditions, potentially affecting suitability.","PeriodicalId":405859,"journal":{"name":"TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON)","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125655669","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: 2

Feature Subset Selection Using Genetic Algorithm with Aggressive Mutation for Classification Problem 基于主动变异遗传算法的特征子集选择

TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) Pub Date : 2021-12-07 DOI: 10.1109/TENCON54134.2021.9707450

Marc Jermaine Pontiveros, Geoffrey A. Solano, J. Diaz, Jaime D. L. Caro

引用次数: 2

Multiple Distributed Generation Allocation in Radial Distribution Networks by Considering Loss Reduction and Curtailment 考虑减损和弃电的径向配电网多分布式发电分配

TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) Pub Date : 2021-12-07 DOI: 10.1109/TENCON54134.2021.9707327

Kritthapat Peanviboon, T. Tayjasanant

引用次数: 0

Detecting Lung Cancer from Histopathological Images using Convolution Neural Network 利用卷积神经网络从组织病理图像中检测肺癌

TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) Pub Date : 2021-12-07 DOI: 10.1109/TENCON54134.2021.9707242

Dewan Ziaul Karim, Tasfia Anika Bushra

{"title":"Detecting Lung Cancer from Histopathological Images using Convolution Neural Network","authors":"Dewan Ziaul Karim, Tasfia Anika Bushra","doi":"10.1109/TENCON54134.2021.9707242","DOIUrl":"https://doi.org/10.1109/TENCON54134.2021.9707242","url":null,"abstract":"Lung cancer is one of the leading causes of mortality in both men and women throughout the world. That is why early identification and treatment of lung cancer patients bear a huge significance in the recovery procedure of such patients. A lot of time, pathologists use histopathological pictures of tissue biopsy from possibly diseased regions of the lungs to detect the probability and type of cancer. However, this procedure is both tedious and sometimes fallible too. Machine learning based solutions for medical image analysis can help a lot in this regard. The aim of this work is to provide a convolution neural network (CNN) model that can accurately recognize and categorize lung cancer types with superior accuracy which is very important for treatment. We propose a CNN model with 15000 images split into 3 categories: Training, validation, and testing. Three different types of lung tissues (Benign tissue, Adenocarcinoma, and squamous cell carcinoma) have been examined. 50 instances from every class were kept for testing procedure. The rest of the data was split as: about 80% and 20% for training and validation respectively. Eventually, our model obtained 98.15% training accuracy and 98.07% validation accuracy.","PeriodicalId":405859,"journal":{"name":"TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132850777","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: 7

A Fair Allocation Method of Curtailed Power for Wind Farms Considering Transmission Line Capacity and Conditions for Fair Allocation 考虑输电线路容量及公平分配条件的风电场截电公平分配方法

TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) Pub Date : 2021-12-07 DOI: 10.1109/TENCON54134.2021.9707365

Daichi Sugawara, H. Saitoh

引用次数: 1

Lesson Learned and Future Design of IEC 61850 Based Digital Bay in Central Java Substations 基于IEC 61850的中爪哇变电站数字湾的经验教训与未来设计

TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) Pub Date : 2021-12-07 DOI: 10.1109/TENCON54134.2021.9707423

E. Prasetyo, Rendie Ramadhan, I. Kurniawan, Rousyan Faikar

{"title":"Lesson Learned and Future Design of IEC 61850 Based Digital Bay in Central Java Substations","authors":"E. Prasetyo, Rendie Ramadhan, I. Kurniawan, Rousyan Faikar","doi":"10.1109/TENCON54134.2021.9707423","DOIUrl":"https://doi.org/10.1109/TENCON54134.2021.9707423","url":null,"abstract":"Modern electrical power grids are expected to be resilient, secure, efficient, and flexible. In terms of power grid modernisation, the IEC 61850 based communication and automation has been developed over the years to satisfy the requirements. Furthermore, the digital substation concept has emerged as one revolutionary idea that might change the future of substation automation. In PLN Indonesia, several hybrid-digital bays combining the IEC 61850 based process bus, merging unit, and conventional instrument transformer has been constructed recently. This idea promises excessive wire reduction using the digital substation concept for substation operation, control, and automation while still incorporating conventional instrument transformers, breakers, and disconnecting switches. This paper presents a comparative study of the hybrid digital bay implementation at PLN substations in Central Java from three different manufacturers. Technical and economic comparisons are delivered to exhibit benefits and drawbacks over the three designs. The future topology of the digital bay is also discussed to improve the technical design of the digital bay in Indonesia. The result shows that digital bay has brought investment cost reduction while also needs a specification standardisation to be optimally utilised.","PeriodicalId":405859,"journal":{"name":"TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124153081","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

Image Compression using Approximate Addition 使用近似加法的图像压缩

TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) Pub Date : 2021-12-07 DOI: 10.1109/TENCON54134.2021.9707323

R. Nayar, P. Balasubramanian, D. Maskell

{"title":"Image Compression using Approximate Addition","authors":"R. Nayar, P. Balasubramanian, D. Maskell","doi":"10.1109/TENCON54134.2021.9707323","DOIUrl":"https://doi.org/10.1109/TENCON54134.2021.9707323","url":null,"abstract":"This paper investigates the application of approximate addition in digital image compression. Discrete cosine transform (DCT) is an important operation in digital image compression and we considered utilizing accurate addition and approximate addition separately while calculating the DCT. Accurate addition was performed using the accurate adder and approximate addition was performed using different approximate adders. Accurate and approximate adders were implemented in an ASIC design environment using a 32-28nm CMOS standard cell library and in a FPGA design environment using a Xilinx Artix-7 device. Error analysis has been performed to calculate mean absolute error and root mean square error of approximate adders by considering one million random input vectors. It is observed that approximate adders help to better reduce the file size of compressed images than the accurate adder. Simultaneously, the approximate adders enable reductions in design metrics compared to the accurate adder. For a FPGA implementation, an optimum approximate adder achieves 8% delay reduction and 19.7% power reduction while consuming 47.6% fewer LUTs and 42.2% fewer flip-flops compared to the accurate FPGA adder. With respect to an ASIC based implementation using standard library cells, an optimum approximate adder achieves 27.1% delay reduction, 46.4% area reduction and 50.3% power reduction compared to a high-speed accurate carry look-ahead adder.","PeriodicalId":405859,"journal":{"name":"TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114961021","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

Autonomous Warehouse Robot using Deep Q-Learning 使用深度q -学习的自主仓库机器人

TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) Pub Date : 2021-12-07 DOI: 10.1109/TENCON54134.2021.9707256

Ismot Sadik Peyas, Z. Hasan, Md. Rafat Rahman Tushar, Al Musabbir, Raisa Mehjabin Azni, Shahnewaz Siddique

引用次数: 2

Agro-Mate: A Virtual Assister to Maximize Crop Yield in Agriculture Sector agromate:一个虚拟助手，以最大限度地提高作物产量在农业部门

TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) Pub Date : 2021-12-07 DOI: 10.1109/TENCON54134.2021.9707199

S. Dayalini, M. Sathana, N. NavodyaP.R., R. W. A. I. M. N. Weerakkodi, A. Jayakody, N. Gamage

{"title":"Agro-Mate: A Virtual Assister to Maximize Crop Yield in Agriculture Sector","authors":"S. Dayalini, M. Sathana, N. NavodyaP.R., R. W. A. I. M. N. Weerakkodi, A. Jayakody, N. Gamage","doi":"10.1109/TENCON54134.2021.9707199","DOIUrl":"https://doi.org/10.1109/TENCON54134.2021.9707199","url":null,"abstract":"This paper presents a decision support system that supports farmers to take accurate decisions and help them with soil quality determination, best crop selection, rice disease prediction, and disaster prediction for the wet zone of Sri Lanka. This project has incorporated technologies such as Deep Learning, Image Processing, the Internet of Things, and Machine Learning that can aid farmers or investors to maximize yield. ‘Agro-Mate’ consists of four components which are soil quality determination, best crop selection, rice disease prediction, and natural disaster prediction. Also, the application suggests fertilizer when soil is lacking quality and provides recommendations whenever rice diseases or natural disasters are identified. An android mobile application is developed which users will utilize to access the system and make use of it. The proposed system facilitates the farmer in accurate decision-making to gain more quality and quantity of crops. ‘Agro-mate’ is more likely to increase the productivity of crops. In the future, this paper will be included with the test and evaluations results to prove the proposed decision-making concept.","PeriodicalId":405859,"journal":{"name":"TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123541564","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

Assisting Wheelchair: Assist W 辅助轮椅:辅助轮椅

TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) Pub Date : 2021-12-07 DOI: 10.1109/TENCON54134.2021.9707221

Dileesha Ranaweera, Chanuka Athalage, Murthi Sri Virajamana, Chamoth Kaveesha, Dilshan De Silva, Hansi De Silva

引用次数: 1