2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON)最新文献_第3页

MRI brain tumor images classification using K-means clustering, NSCT and SVM 基于k -均值聚类、NSCT和SVM的MRI脑肿瘤图像分类

2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) Pub Date : 2017-10-01 DOI: 10.1109/UPCON.2017.8251069

C. Saha, Md. Foisal Hossain

{"title":"MRI brain tumor images classification using K-means clustering, NSCT and SVM","authors":"C. Saha, Md. Foisal Hossain","doi":"10.1109/UPCON.2017.8251069","DOIUrl":"https://doi.org/10.1109/UPCON.2017.8251069","url":null,"abstract":"Magnetic Resonance Imaging (MRI) has justified its potential to be used as an emerging imaging tool for the anatomical examination of tissue in brain. Manual classification of a large number of MRI brain images of patients is anextremely time killing process and also susceptible to errors, so there is a need to develop a fast, accurate and automatic scheme for classifying MRI brain images. In this paper we present a scheme for the automatic classification of MRI brain images as normal, where tumor is not present or abnormal, where tumor is present using K-Means clustering, nonsubsampledcontourlet transform (NSCT) and support vector machine (SVM). In the preprocessing stage of this proposed scheme, median filter is used for removing noise and enhancing resolution of MRI brain images. Then K-means clustering is used for segmenting MRI brain imagesbecause it segments an image faster. Because of salient properties of NSCT like multiscale, multidirection and shift invariance, NSCT is applied to the segmented image. Then seven features are extracted from subband coefficients of NSCTand these features are applied to support vector machine for the classification of MRI brain images. The efficacy of this scheme is evaluated in terms of sensitivity, specificity and accuracy and this scheme exhibits classification accuracy rate 98.86% for GRB kernel SVM. This scheme is compared with other MRI brain images classification schemes and provides satisfactory results which clarify the effectiveness of our scheme.","PeriodicalId":422673,"journal":{"name":"2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON)","volume":"237 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116099266","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

Database normalization design pattern 数据库规范化设计模式

2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) Pub Date : 2017-10-01 DOI: 10.1109/UPCON.2017.8251067

K. Kumar, S. K. Azad

{"title":"Database normalization design pattern","authors":"K. Kumar, S. K. Azad","doi":"10.1109/UPCON.2017.8251067","DOIUrl":"https://doi.org/10.1109/UPCON.2017.8251067","url":null,"abstract":"Normalization is a database design technique, which is used to design the Relational Database table up to higher normal form. The main aim of the database normalization approach is to reduce data redundancy and maintain the atomicity within the database table. In this paper, The Tabular approach algorithm method is introduced to generating candidate key from set a valid set of functional dependency. Once, it determines the candidate key of a database table from a given valid set of functional dependency, and then applying normalization algorithms we can easily achieve higher level of normal form. It also shows new tabular based automatic generation of all possible super key and candidate key of a database table. A tabular approach algorithm method have table, having three columns marked as left, middle and right and one row. This column contains the valid set of given functional dependency. Once, we feed the column of the tabular approach table marked as left, middle and right with all possible valid set of functional dependency, then using proposed tabular approach algorithm method used to determine candidate key(s) and using these key(s), we can reach higher level of normal form.","PeriodicalId":422673,"journal":{"name":"2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON)","volume":"08 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115243936","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

Analysis of a sixth-order higher bucking converter 六阶高抗压变换器的分析

2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) Pub Date : 2017-10-01 DOI: 10.1109/UPCON.2017.8251083

Shrikant Misal, M. Veerachary

引用次数: 2

Design of low-power high-speed double-tail dynamic CMOS comparator using novel latch structure 基于新型锁存器结构的低功耗高速双尾动态CMOS比较器设计

2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) Pub Date : 2017-10-01 DOI: 10.1109/UPCON.2017.8251050

R. Jain, Avaneesh K. Dubey, Vikrant Varshney, R. Nagaria

引用次数: 6

Tracking and erosion resistance of Liquid Silicone Rubber under normal and acidic environment 液体硅橡胶在正常和酸性环境下的跟踪和耐侵蚀性能

2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) Pub Date : 2017-10-01 DOI: 10.1109/UPCON.2017.8251051

A. Verma, B. S. Reddy

引用次数: 0

Application of SFS algorithm in control of DC motor and comparative analysis SFS算法在直流电机控制中的应用及对比分析

2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) Pub Date : 2017-10-01 DOI: 10.1109/UPCON.2017.8251057

I. Khanam, G. Parmar

引用次数: 34

Modular multi-level converter topologies: Present status and key challenges 模块化多级转换器拓扑:现状和主要挑战

2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) Pub Date : 2017-10-01 DOI: 10.1109/UPCON.2017.8251061

A. Yadav, S. Singh, S. Das

引用次数: 17

Keynote speaker: Computational Intelligence Technologies for Ambient Intelligence 主讲人:面向环境智能的计算智能技术

2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) Pub Date : 2017-10-01 DOI: 10.1109/UPCON.2017.8251141

V. Piuri

引用次数: 0

Multi-objective optimization with non-convex cost functions using fuzzy mechanism based continuous genetic algorithm 基于模糊机制的连续遗传算法的非凸代价函数多目标优化

2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) Pub Date : 2017-10-01 DOI: 10.1109/UPCON.2017.8251091

S. Parihar, Nitin Malik

引用次数: 6

A 0.45V, 1.3 nW bandgap CMOS voltage reference with temperature compensation 带温度补偿的0.45V, 1.3 nW带隙CMOS基准电压

2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) Pub Date : 2017-10-01 DOI: 10.1109/UPCON.2017.8251053

Maxi Solanki, R. Khatri

引用次数: 0