2013 International Conference on Information Technology and Electrical Engineering (ICITEE)最新文献

Automatic exudate extraction for early detection of Diabetic Retinopathy 自动渗出液提取用于糖尿病视网膜病变的早期检测

2013 International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2013-12-02 DOI: 10.1109/ICITEED.2013.6676206

Syna Sreng, Noppadol Maneerat, D. Isarakorn, B. Pasaya, J. Takada, Ronakorn Panjaphongse, R. Varakulsiripunth

{"title":"Automatic exudate extraction for early detection of Diabetic Retinopathy","authors":"Syna Sreng, Noppadol Maneerat, D. Isarakorn, B. Pasaya, J. Takada, Ronakorn Panjaphongse, R. Varakulsiripunth","doi":"10.1109/ICITEED.2013.6676206","DOIUrl":"https://doi.org/10.1109/ICITEED.2013.6676206","url":null,"abstract":"Diabetic Retinopathy (DR) is the most common cause of blindness in diabetic patients, but early detection and timely treatment can prevent this problem. Exudates have been found to be one of the signs and serious DR anomalies so the proper detection of these lesions and the treatment should be done immediately to prevent loss of vision. The aim of this study is to automatically detect these lesions in fundus images. To achieve this goal, the proposed method first preprocesses to improve the quality of fundus image, and then Optic Disc (OD) is detected and eliminated to prevent the interference to the result of exudate detection by combination of 3 methods; image binarization, Region Of Interest (ROI) based segmentation and Morphological Reconstruction (MR). Next, exudates are detected by applying the maximum entropy thresholding to filter out the bright pixels from the result of OD region eliminated. Since the result contains some noises which appear as bright light at the edge of fundus area in some images, that affect is considered and eliminated to improve the result of false positive. Finally, exudates are extracted by using MR. The proposed technique has been tested on 100 fundus images from hospital. Experimental results show that 91 % of exudate is extracted correctly with the average process of 3.92 second per image.","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116678086","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: 27

Performance comparison of IEEE 1609.4/802.11p and 802.11e with EDCA implementation in MAC sublayer IEEE 1609.4/802.11p和802.11e在MAC子层实现EDCA的性能比较

2013 International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2013-12-02 DOI: 10.1109/ICITEED.2013.6676254

D. Perdana, R. F. Sari

引用次数: 10

Optimized GDPWM based on Spontaneous Evolutionary GA for reducing switching losses on inverter 基于自发进化遗传算法的优化GDPWM降低逆变器开关损耗

2013 International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2013-12-02 DOI: 10.1109/ICITEED.2013.6676274

O. Qudsi, N. Windarko, A. Priyadi, M. Purnomo

引用次数: 6

Hand gesture recognition using Optimized Neural Network Shape Fitting on ARM11 ARM11上基于优化神经网络形状拟合的手势识别

2013 International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2013-12-02 DOI: 10.1109/ICITEED.2013.6676226

Heri Setiawan, Iwan Setyawan, Saptadi Nugroho

引用次数: 1

Design of capacitance measurement circuit for data acquisition system ECVT ECVT数据采集系统电容测量电路的设计

2013 International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2013-12-02 DOI: 10.1109/ICITEED.2013.6676283

A. Yusuf, W. Widada, W. Taruno

引用次数: 7

Thermal unit commitment solution using genetic algorithm combined with the principle of tabu search and priority list method 采用遗传算法结合禁忌搜索原理和优先级列表法求解热机组承诺问题

2013 International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2013-12-02 DOI: 10.1109/ICITEED.2013.6676278

Sarjiya, A. Mulyawan, Apri Setiawan, A. Sudiarso

{"title":"Thermal unit commitment solution using genetic algorithm combined with the principle of tabu search and priority list method","authors":"Sarjiya, A. Mulyawan, Apri Setiawan, A. Sudiarso","doi":"10.1109/ICITEED.2013.6676278","DOIUrl":"https://doi.org/10.1109/ICITEED.2013.6676278","url":null,"abstract":"Unit commitment (UC) is one of optimization problem which is important in electrical power systems as effort to minimize generation cost by applying an effective scheduling. However, the size of search space and many constraints in this problem are becoming the problems. This paper will present hybrid algorithm which integrates genetic algorithm (GA) combined with the principle of tabu search (TS) and priority list (PL) methods to solve the UC problem. PL will be used for solving the unit scheduled problem. GA and the principle of TS are used for solving the economic dispatch problem. To optimize GA parameters, design of experiment (DOE) method will be used. The proposed algorithm is tested on the IEEE 10 unit systems for a one day scheduling periods. The results are compared with methodological priority list, shuffled frog leaping algorithm, hybrid particle swarm optimization, standard GA, integer coded GA, and Lagrange relaxation GA methods. This proposed hybrid method shows that the total cost of the unit commitment problem is better than other compared methods and near-optimal solution.","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114326844","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: 13

A comparison of effectiveness of risk data clustering method in Psychiatric Patient Service 风险数据聚类方法在精神病患者服务中的有效性比较

2013 International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2013-12-02 DOI: 10.1109/ICITEED.2013.6676201

Khaengkai Compapong, Sumonta Kasemvilas

引用次数: 2

Ontology and semantic matching for diabetic food recommendations 糖尿病食物推荐的本体与语义匹配

2013 International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2013-12-02 DOI: 10.1109/ICITEED.2013.6676233

Achmad Arwan, Bayu Priyambadha, R. Sarno, Mohamad Sidiq, H. Kristianto

引用次数: 26

Student classification for academic performance prediction using neuro fuzzy in a conventional classroom 基于神经模糊的传统课堂学生分类学习成绩预测

2013 International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2013-12-02 DOI: 10.1109/ICITEED.2013.6676242

Indriana Hidayah, A. E. Permanasari, Ning Ratwastuti

{"title":"Student classification for academic performance prediction using neuro fuzzy in a conventional classroom","authors":"Indriana Hidayah, A. E. Permanasari, Ning Ratwastuti","doi":"10.1109/ICITEED.2013.6676242","DOIUrl":"https://doi.org/10.1109/ICITEED.2013.6676242","url":null,"abstract":"Conventional classroom is still the main learning method applied in undergraduate program of Electrical Engineering and Information Technology Department, Gadjah Mada University. There are several problems in this method, such as large amount of students and limited number of meetings making difficult to understand each student. Student classification is a way to solve the problem by mapping the condition of each student based on certain parameters. Many methods have been applied to classify students that are based on IF-THEN rules and pattern recognition. However, many studies were done on intelligent tutoring systems and e-learning systems, not in a conventional classroom. Moreover, there are no researches that measure basic values by considering intelligence and non-intelligence performances. In this work, a student classification model was developed by applying neuro fuzzy concept; a combination of fuzzy's IF-THEN rules and neural network's ability to learn, so this method has the ability to learn from the generated rules to produce the best classification model. The model can be used to predict students' academic performance. Data were processed using ANFIS Editor-Matlab Fuzzy Logic. The results showed that combination of three parameter values -interest, talent, and motivation- is the best model for students classification, which has training RMSE value 0.12301 and testing average RMSE value 0.25611.","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128895873","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: 36

Preliminary design of static indonesian sign language recognition system 静态印尼语手语识别系统初步设计

2013 International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2013-12-02 DOI: 10.1109/ICITEED.2013.6676236

Rudy Hartanto, A. Susanto, P. Santosa

引用次数: 11