2019 IEEE Student Conference on Research and Development (SCOReD)最新文献_第6页

Technical and economic performance evaluation for efficient capacitors sizing and placement in a real distribution network 实际配电网中电容器尺寸和布局的技术经济性能评价

2019 IEEE Student Conference on Research and Development (SCOReD) Pub Date : 2019-10-01 DOI: 10.1109/SCORED.2019.8896285

Theophilus Amara, S. Asefi, Oludamilare Bode Adewuyi, Mikaeel Ahmadi, A. Yona, T. Senjyu

引用次数: 2

Modeling of Single-Phase Grid-Connected using MATLAB/Simulink Software 基于MATLAB/Simulink软件的单相并网建模

2019 IEEE Student Conference on Research and Development (SCOReD) Pub Date : 2019-10-01 DOI: 10.1109/SCORED.2019.8896226

A. A. Bakar, M. Amran, S. Salimin, M.K.M. Jamri, A. Gani

引用次数: 1

Design and Fabrication of Outboard Braking System for All Terrain Vehicle 全地形车外侧制动系统的设计与制造

2019 IEEE Student Conference on Research and Development (SCOReD) Pub Date : 2019-10-01 DOI: 10.1109/SCORED.2019.8896227

Sunny Prajapati, Abhishek Kumar

引用次数: 1

Low-power RRAM Device based 1T1R Array Design with CNTFET as Access Device 以CNTFET为存取元件的低功耗RRAM 1T1R阵列设计

2019 IEEE Student Conference on Research and Development (SCOReD) Pub Date : 2019-10-01 DOI: 10.1109/SCORED.2019.8896306

Furqan Zahoor, T. Zulkifli, F. A. Khanday, Aabid Amin Fida

引用次数: 8

Simulation of 33kV String Insulators Using Finite Element Method (FEM) 33kV串形绝缘子有限元模拟

2019 IEEE Student Conference on Research and Development (SCOReD) Pub Date : 2019-10-01 DOI: 10.1109/SCORED.2019.8896273

M. Othman, M. Isa, M. N. Mazlee, M. Piah, N. Rahman

引用次数: 0

Downtime Cost Analysis of Offloading Operations Considering Vessel Motions and Mooring Responses in Malaysian Waters 考虑船舶运动和系泊响应的马来西亚水域卸载作业停机成本分析

2019 IEEE Student Conference on Research and Development (SCOReD) Pub Date : 2019-10-01 DOI: 10.1109/SCORED.2019.8896325

M. S. Patel, M. S. Liew, Z. Mustaffa, A. M. Al-Yacouby, A. Abdurrasheed, A. Whyte

引用次数: 3

Predictive Maintenance of Air Booster Compressor (ABC) Motor Failure using Artificial Neural Network trained by Particle Swarm Optimization 基于粒子群算法的空气增压压缩机(ABC)电机故障预测维护

2019 IEEE Student Conference on Research and Development (SCOReD) Pub Date : 2019-10-01 DOI: 10.1109/SCORED.2019.8896330

N. Rosli, Nurul Rawaida ain Burhani, R. Ibrahim

引用次数: 5

Classification of Rheumatoid Arthritis using Machine Learning Algorithms 类风湿关节炎分类的机器学习算法

2019 IEEE Student Conference on Research and Development (SCOReD) Pub Date : 2019-10-01 DOI: 10.1109/SCORED.2019.8896344

Ho Sharon, I. Elamvazuthi, CK Lu, S. Parasuraman, Elango Natarajan

{"title":"Classification of Rheumatoid Arthritis using Machine Learning Algorithms","authors":"Ho Sharon, I. Elamvazuthi, CK Lu, S. Parasuraman, Elango Natarajan","doi":"10.1109/SCORED.2019.8896344","DOIUrl":"https://doi.org/10.1109/SCORED.2019.8896344","url":null,"abstract":"Rheumatoid Arthritis (RA) is a persistent provocative ailment that effects and decimates the joints of wrist, finger, and feet. If left untreated, one can lose their ability to lead a normal life. RA is the most typical fiery joint inflammation, influencing around 1-2% of the total populace. Throughout the years, soft computing played an important part in helping ailment analysis in doctor's decision process. The main aim of this study is to investigate the possibility of applying machine learning techniques to the analysis of RA characteristics. As a preliminary work, a credible database has been identified to be used for this research. The database has outputs of array temperature values from thermal imaging for the joints of hand. Furthermore, this database which consists of 8 attributes and 32 instances, are used to determine the performance in terms of accuracy for the classification of different algorithms. In this preliminary work, ensemble algorithms such as bagging, AdaBoost and random subspace with base classifier such as random forest and SVM were trained and tested using the assessment criteria such as accuracy, precision, sensitivity and AUC using Weka tool. From the preliminary finding of this paper, it can be concluded that with base classifier SVM, bagging has better classification accuracy over the others and with base classifier random forest Adaboost slightly outperformed other models for rheumatoid arthritis dataset.","PeriodicalId":231004,"journal":{"name":"2019 IEEE Student Conference on Research and Development (SCOReD)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125411682","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: 14

Robust Character Recognition For Optical And Natural Images Using Deep Learning 基于深度学习的光学和自然图像鲁棒字符识别

2019 IEEE Student Conference on Research and Development (SCOReD) Pub Date : 2019-10-01 DOI: 10.1109/SCORED.2019.8896354

Al.maamoon Rasool Abdali, R. F. Ghani

{"title":"Robust Character Recognition For Optical And Natural Images Using Deep Learning","authors":"Al.maamoon Rasool Abdali, R. F. Ghani","doi":"10.1109/SCORED.2019.8896354","DOIUrl":"https://doi.org/10.1109/SCORED.2019.8896354","url":null,"abstract":"Character recognition is one of the most critical parts of many computer vision system. And many studies have explored character recognition as two subcategories: character recognition in optical images, character recognition natural images while this separation was to achieve high accuracy in each field separated but it needs more hardware resources to operate two models one for each area. In addition to that most researches divided each field into (digits recognition, character recognition) that add extra cost in both time and hardware resources also we found that both areas still have room for accuracy improvement. This paper tackles the problem of the two subclasses by building one robust, accurate classifier using a convolutional neural network that can recognize (characters and digits) accurately in both optical and natural scene images, the proposed model has been trained on a combination of EMNIST and Char74k data sets with a random data augmentation. The proposed model achieved 92% accuracy in EMINST compared to previous works shows that the proposed model has the highest accuracy among all the previous works based on EMNIST data set. We also tested the model on none-seen data sets (ICDAR203) and the obtained results indicate the high generality and the robustness of the classifier.","PeriodicalId":231004,"journal":{"name":"2019 IEEE Student Conference on Research and Development (SCOReD)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129296140","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: 4

Review on Security in Bluetooth Low Energy Mesh Network in Correlation with Wireless Mesh Network Security 蓝牙低功耗网状网络安全与无线网状网络安全研究进展

2019 IEEE Student Conference on Research and Development (SCOReD) Pub Date : 2019-10-01 DOI: 10.1109/SCORED.2019.8896310

M. R. Ghori, T. Wan, Mohammed Anbar, G. Sodhy, Amna Rizwan

{"title":"Review on Security in Bluetooth Low Energy Mesh Network in Correlation with Wireless Mesh Network Security","authors":"M. R. Ghori, T. Wan, Mohammed Anbar, G. Sodhy, Amna Rizwan","doi":"10.1109/SCORED.2019.8896310","DOIUrl":"https://doi.org/10.1109/SCORED.2019.8896310","url":null,"abstract":"Wireless Mesh Networks (WMN) are becoming inevitable in this world of high technology as it provides low cost access to broadband services. Moreover, the technologists are doing research to make WMN more reliable and secure. Subsequently, among wireless ad-hoc networking technologies, Bluetooth Low Energy (BLE) is gaining high degree of importance among researchers due to its easy availability in the gadgets and low power consumption. BLE started its journey from version 4.0 and announced the latest version 5 with mesh support capability. BLE being a low power and mesh supported technology is nowadays among the hot research topics for the researchers. Many of the researchers are working on BLE mesh technology to make it more efficient and smart. Apart from other variables of efficiency, like all communication networks, mesh network security is also of a great concern. In view of the aforesaid, this paper provides a comprehensive review on several works associated to the security in WMN and BLE mesh networks and the research related to the BLE security protocols. Moreover, after the detailed research on related works, this paper has discussed the pros and cons of the present developed mesh security mechanisms. Also, at the end after extracting the curx from the present research on WMN and BLE mesh security, this research study has devised some solutions as how to mitigate the BLE mesh network security lapses.","PeriodicalId":231004,"journal":{"name":"2019 IEEE Student Conference on Research and Development (SCOReD)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130364940","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: 8