2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE)最新文献_第10页

Zemike moment feature extraction for classifying lesion's shape of breast ultrasound images 乳腺超声图像病变形状的泽米克矩特征提取

2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2015-10-01 DOI: 10.1109/ICITEED.2015.7408990

H. A. Nugroho, Hesti Khuzaimah Nurul Yusufiyah, T. B. Adji, A. Nugroho

{"title":"Zemike moment feature extraction for classifying lesion's shape of breast ultrasound images","authors":"H. A. Nugroho, Hesti Khuzaimah Nurul Yusufiyah, T. B. Adji, A. Nugroho","doi":"10.1109/ICITEED.2015.7408990","DOIUrl":"https://doi.org/10.1109/ICITEED.2015.7408990","url":null,"abstract":"One of the methods that is often used to screening breast cancer is ultrasound examination but the result is very subjective. It depends on the ability the radiologist. Therefore, a tool that can help us to make it more objective needs to build. System on the device should be able to diagnose breast cancer malignancies of various parameters including the breast lesion shape parameter. Image classification of breast lesion shape begins with input image processing by filtering it with a median filter then performing segmentation with Chan-Vese active contour, conducting extraction of feature with Zernike moments and Invariant moment. Finally, undertaking classification by support vector machine (SVM) and Multilevel Perceptron (MLP). At the Zernike moment, the highest accuracy obtained by using SVM classifier is 84.80%, and the MLP classifier is 87.90% At invariant moment, accuracy obtained by using SVM classifier is 69.69 %, and the MLP classifier is 78.70%. On the other side, when Zernike moment and invarian moment are combined, the classification result achieves 93,90% for accuracy, 91.70% for specification, and 100% for sensitivity.","PeriodicalId":207985,"journal":{"name":"2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125626578","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

Model-based stator interturn short-circuit fault detection and diagnosis in induction motors 基于模型的异步电动机定子匝间短路故障检测与诊断

2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2015-10-01 DOI: 10.1109/ICITEED.2015.7408935

S. S. Duvvuri, K. Detroja

引用次数: 15

Offline handwritten signature recognition using adaptive variance reduction 使用自适应方差减少的离线手写签名识别

2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2015-10-01 DOI: 10.1109/ICITEED.2015.7408952

Ruangroj Sa-Ardship, K. Woraratpanya

{"title":"Offline handwritten signature recognition using adaptive variance reduction","authors":"Ruangroj Sa-Ardship, K. Woraratpanya","doi":"10.1109/ICITEED.2015.7408952","DOIUrl":"https://doi.org/10.1109/ICITEED.2015.7408952","url":null,"abstract":"Although offline handwritten signature recognition has been continually researched, it still requires an improvement of recognition rate. Most of existing techniques focus on feature extraction to improve their performance. This paper proposes an alternative way to increase the recognition rate by analyzing an important characteristic of input information, namely variability of signatures. The proposed method is based on the hypothesis; reducing the variability of signatures leads to boost up the recognition rate. Therefore, the variance reduction technique is applied to normalize offline handwritten signatures by means of an adaptive dilation operator. Then the variability of signatures is analyzed in terms of coefficient of variation (CV). The optimal CV is obtained and used to be a threshold limit value for the acceptable variance reduction. Based on 5,739 signature samples with 140 classes, the experimental results show that the adaptive variance reduction procedure helps improve the recognition rate when compared to the traditional schemes without adaptive variance reduction, including histogram of gradient (HOG) and pyramid histogram of gradient (PHOG) techniques.","PeriodicalId":207985,"journal":{"name":"2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131485879","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: 3

Cloud computing implementation explained: A tale of two SMEs 云计算实现解释:两个中小企业的故事

2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2015-10-01 DOI: 10.1109/ICITEED.2015.7409019

Nattakarn Phaphoom, Xiaofeng Wang, P. Abrahamsson

引用次数: 1

Robust multi-directional bicycle recognition on the rotation using the in-vehicle cameras 利用车载摄像头对自行车旋转进行鲁棒多向识别

2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2015-10-01 DOI: 10.1109/ICITEED.2015.7408913

Kenta Fukushima, Kousuke Matsushima

{"title":"Robust multi-directional bicycle recognition on the rotation using the in-vehicle cameras","authors":"Kenta Fukushima, Kousuke Matsushima","doi":"10.1109/ICITEED.2015.7408913","DOIUrl":"https://doi.org/10.1109/ICITEED.2015.7408913","url":null,"abstract":"Many researches have worked for the development of automotive technologies, so as to realize a convenient and safety automotive society such as Advanced Safety Vehicle (ASV) and Traffic Monitoring System (TMS). As a result, traffic accidents have decreased as the years pass, and the number of the dead and injuries have been reduced. However, autonomous driving is not only required to detect bicycles around vehicles, but also expected to understand the behaviors of bicycles. In addition, since the proportion of bicycle accident shows a high percentage in the total traffic accident, it has been predicted an increase of the accident of the bicycle in the future. Therefore we propose a multi-directional bicycle recognition system using the disparity information obtained by the stereo camera. In the proposed system, we divide the moving direction of the bicycle into three directions. In addition, we propose a robust feature extraction method on rotation in order to cope with the bicycle between each direction. Finally, we show the experimental results and verify the effectiveness of the proposed method.","PeriodicalId":207985,"journal":{"name":"2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114739148","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

High voltage test on 245 kV post insulators with different materials 245kv不同材料杆状绝缘子高压试验

2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2015-10-01 DOI: 10.1109/ICITEED.2015.7408978

Made Gita Mardika, Tri Andhika Puri, Suwarno, Michael Walch, U. Schichler, G. Godel

引用次数: 1

Automated English mnemonic keyword suggestion for learning Japanese vocabulary 自动英语助记关键字建议学习日语词汇

2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2015-10-01 DOI: 10.1109/ICITEED.2015.7409024

Orapin Anonthanasap, Monticha Ketna, Teerapong Leelanupab

引用次数: 5

Robust fine-tuned PID controller using Taguchi method for regulating DC motor speed 鲁棒微调PID控制器采用田口法对直流电机转速进行调节

2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2015-10-01 DOI: 10.1109/ICITEED.2015.7408936

Gunawan Dewantoro

引用次数: 5

A hybrid OTA-C notch filter for physiological signal acquisition 一种用于生理信号采集的混合OTA-C陷波滤波器

2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2015-10-01 DOI: 10.1109/ICITEED.2015.7408999

Surachoke Thanapitak, C. Sawigun

引用次数: 3

Automatic batik motifs classification using various combinations of SIFT features moments and k-Nearest Neighbor 基于SIFT特征矩和k近邻的蜡染图案自动分类

2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2015-10-01 DOI: 10.1109/ICITEED.2015.7408954

Iwan Setyawan, Ivanna K. Timotius, Marchellius Kalvin

引用次数: 20