2015 IEEE Power, Communication and Information Technology Conference (PCITC)最新文献_第10页

Multi-class classification using Cuckoo Search based hybrid network 基于布谷鸟搜索的混合网络多类分类

2015 IEEE Power, Communication and Information Technology Conference (PCITC) Pub Date : 2015-10-01 DOI: 10.1109/PCITC.2015.7438134

S. Chakravarty, Puspanjali Mohapatra

{"title":"Multi-class classification using Cuckoo Search based hybrid network","authors":"S. Chakravarty, Puspanjali Mohapatra","doi":"10.1109/PCITC.2015.7438134","DOIUrl":"https://doi.org/10.1109/PCITC.2015.7438134","url":null,"abstract":"Classification plays an important role in various fields such as science, engineering, medicine and business. This paper proposes a cuckoo search based hybrid model i.e. Functional Link Neural Fuzzy Network named as CSFLNFN for classification of multi-class datasets. Both FLANN, as an efficient computational technique and fuzzy logic, as a basis of much inference system are combined to take the advantages from both the techniques. These two techniques are supplementary to each other in a way that one is helping other to overcome their limitations. The proposed CSFLNFN model uses FLANN to the consequent part of the fuzzy rules. The parameters of the models are optimized by the evolutionary algorithm, Cuckoo Search (CS). The CSFLNFN model is evaluated with one medical dataset, dermatology and three other frequently used multi-class datasets, wine, glass and iris. Further, to get more classification accuracy, Principal Component Analysis (PCA) has been used to extract the features from the datasets. Performance of the model is measured by number of measures like confusion matrix, accuracy, sensitivity, specificity, F-score, gmean and area under the receiver operating characteristic (ROC) curve. In this study, a comparison has been made between results before and after features extraction and it is seen that the classification accuracy increases with extracted features from the datasets. However the results demonstrate the superiority of the CSFLNFN compare to other models including CSMLP, CSFLANN, Naïve Bayesian and K-Nearest Neighbor irrespective of the feature extraction.","PeriodicalId":253244,"journal":{"name":"2015 IEEE Power, Communication and Information Technology Conference (PCITC)","volume":"23 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":"127811772","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: 5

Segmentation of nonuniformly illuminated images using adaptive windowing and nonhomogeneous granulation 基于自适应窗和非均匀粒化的非均匀光照图像分割

2015 IEEE Power, Communication and Information Technology Conference (PCITC) Pub Date : 2015-10-01 DOI: 10.1109/PCITC.2015.7438107

Mamata Wagh, P. Nanda

引用次数: 0

An adaptive isotropic search window based NLM algorithm for image denoising 基于自适应各向同性搜索窗口的NLM图像去噪算法

2015 IEEE Power, Communication and Information Technology Conference (PCITC) Pub Date : 2015-10-01 DOI: 10.1109/PCITC.2015.7438182

Rajiv Verma, R. Pandey

引用次数: 3

Short term wind power forecasting using Chebyshev polynomial trained by ridge extreme learning machine 利用脊极学习机训练的切比雪夫多项式进行短期风电预测

2015 IEEE Power, Communication and Information Technology Conference (PCITC) Pub Date : 2015-10-01 DOI: 10.1109/PCITC.2015.7438155

S. Mishra, P. Dash

引用次数: 6

Modelling and simulation of WECS for maximum power extration and optimal efficincy control using squirrel cage induction generator 基于鼠笼式感应发电机的wcs最大功率提取与最优效率控制建模与仿真

2015 IEEE Power, Communication and Information Technology Conference (PCITC) Pub Date : 2015-10-01 DOI: 10.1109/PCITC.2015.7438126

Vishal D. Dhareppagol, S. Nagendraprasad

{"title":"Modelling and simulation of WECS for maximum power extration and optimal efficincy control using squirrel cage induction generator","authors":"Vishal D. Dhareppagol, S. Nagendraprasad","doi":"10.1109/PCITC.2015.7438126","DOIUrl":"https://doi.org/10.1109/PCITC.2015.7438126","url":null,"abstract":"The paper describes the development of an algorithm for maximum power extraction with a strategy for optimal efficiency of wind energy conversion system (WECS). The proposed control strategy attempts a dual purpose of maximum power extraction from the wind turbine and an optimal efficiency of the induction generator. This combination of the controller strategy results in increasing the overall efficiency. Here the configuration helps to exploit the low wind speed region, with the system comprising of HAWT and SCIG. A maximum power extraction (MPE) controller is used to extract the maximum wind turbine output power and Loss Minimization (LM) controller is introduced to minimize the generator electric loss. The input to both optimal controllers is the differential speed available due to the gears at generator unit. The switching scheme used is space vector modulation devoid of the wind speed measurement, unlike its dependence in other algorithms. The controllers determine the optimal d-axis and q-axis stator current components of the induction generator through optimal conditions and, thus fast dynamic response of the WECS is achieved. The entire proposed system is modeled and simulated using power system Simulink blocks in MATLAB R2013a to obtain the desired results. The studies have been carried out to confirm the effectiveness and the operational improvements. This system of dual controller can be implemented in a real world WECS system.","PeriodicalId":253244,"journal":{"name":"2015 IEEE Power, Communication and Information Technology Conference (PCITC)","volume":"62 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":"133964254","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

A novel islanding detection technique based on wavelet packet transform 基于小波包变换的孤岛检测技术

2015 IEEE Power, Communication and Information Technology Conference (PCITC) Pub Date : 2015-10-01 DOI: 10.1109/PCITC.2015.7438087

M. Mishra, P. Rout, S. Patel

引用次数: 4

Infrastructure-less collaborative indoor positioning for time critical operations 无基础设施协作室内定位，用于时间关键操作

2015 IEEE Power, Communication and Information Technology Conference (PCITC) Pub Date : 2015-10-01 DOI: 10.1109/PCITC.2015.7438111

A. Tondwalkar

引用次数: 3

Novel design of multiband coplanar patch antenna for X band application X波段多波段共面贴片天线的新设计

2015 IEEE Power, Communication and Information Technology Conference (PCITC) Pub Date : 2015-10-01 DOI: 10.1109/PCITC.2015.7438117

Asmita Rajawat, Devesh Kumar, Chavi Jain, P. Tomar, Kartik Kapur

引用次数: 3

A novel reversible combinational circuit design for low power computation 一种用于低功耗计算的新型可逆组合电路设计

2015 IEEE Power, Communication and Information Technology Conference (PCITC) Pub Date : 2015-10-01 DOI: 10.1109/PCITC.2015.7438189

Rakhi Saha, S. Dalal

引用次数: 2

Solar photovoltaic system design and its reliability 太阳能光伏系统设计及其可靠性

2015 IEEE Power, Communication and Information Technology Conference (PCITC) Pub Date : 2015-10-01 DOI: 10.1109/PCITC.2015.7438151

Renu Sharma, S. Goel

引用次数: 3