2015 International Conference on Computing Communication Control and Automation最新文献_第5页

Fabric Defect Detection Using Wavelet Filter 基于小波滤波的织物疵点检测

2015 International Conference on Computing Communication Control and Automation Pub Date : 2015-02-26 DOI: 10.1109/ICCUBEA.2015.145

Vaibhav V. Karlekar, M. Biradar, K. Bhangale

引用次数: 26

Analysis of Speech Features for Emotion Detection: A Review 面向情感检测的语音特征分析综述

2015 International Conference on Computing Communication Control and Automation Pub Date : 2015-02-26 DOI: 10.1109/ICCUBEA.2015.135

R. Sudhakar, Manjare Chandraprabha Anil

引用次数: 17

Database Transformation to Build Data-Set for Data Mining Analysis - A Review 数据库转换构建数据挖掘分析的数据集综述

2015 International Conference on Computing Communication Control and Automation Pub Date : 2015-02-26 DOI: 10.1109/ICCUBEA.2015.81

A. Chaudhari, H. Khanuja

{"title":"Database Transformation to Build Data-Set for Data Mining Analysis - A Review","authors":"A. Chaudhari, H. Khanuja","doi":"10.1109/ICCUBEA.2015.81","DOIUrl":"https://doi.org/10.1109/ICCUBEA.2015.81","url":null,"abstract":"In Data Mining Project, the most time consuming task is to prepare a normalized data-set from relational database, which is suitable for analysis. In general the database has collection of many tables and views that must be joined, aggregated and transformed in order to build the required dataset. It results most long, complex SQL queries written multiple times independently and in disorganized manner. Therefore, the database grows with many tables and views that are not present as entities in the ER model and similar SQL queries are written multiple times, which complicate the database management, software development and maintenance. In this paper, we propose simple methods which generate SQL code to return aggregated columns in a horizontal tabular layout, where every row corresponds to an observation and every column disassociated to dimension. This new class of functions is called horizontal aggregations. Horizontal aggregations build data sets which is the standard normalized layout required by most data mining algorithms. We introduce three fundamental methods to evaluate database transformation: SPJ: Based on standard relational algebra operators (SPJ queries), CASE: Using CASE programming construct available in SQL, PIVOT: Using the PIVOT operator, which is a built-in operator in a commercial DBMS.","PeriodicalId":325841,"journal":{"name":"2015 International Conference on Computing Communication Control and Automation","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128880934","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

TSP Problem Using Modified ABC Based on Dynamically Division of Bees 基于蜜蜂动态划分的改进ABC的TSP问题

2015 International Conference on Computing Communication Control and Automation Pub Date : 2015-02-26 DOI: 10.1109/ICCUBEA.2015.89

Poorti Sharma, Manish Gupta

引用次数: 2

GUI Based Performance Comparison of Noise Reduction Techniques Based on Wavelet Transform 基于GUI的小波变换降噪技术性能比较

2015 International Conference on Computing Communication Control and Automation Pub Date : 2015-02-26 DOI: 10.1109/ICCUBEA.2015.132

P. Undre, Harjeet Kaur, R. Talwar

引用次数: 0

Performance Analysis of FFT Based OFDM System and DWT Based OFDM System to Reduce Inter-carrier Interference 基于FFT的OFDM系统和基于DWT的OFDM系统降低载波间干扰的性能分析

2015 International Conference on Computing Communication Control and Automation Pub Date : 2015-02-26 DOI: 10.1109/ICCUBEA.2015.71

Gauri Waichal, A. Khedkar

引用次数: 16

A Survey on Document Image Binarization Techniques 文献图像二值化技术综述

2015 International Conference on Computing Communication Control and Automation Pub Date : 2015-02-26 DOI: 10.1109/ICCUBEA.2015.148

S. Lokhande, N. Dawande

引用次数: 7

Automobile Theft Prevention Using 3D Gesture Key Fob and Cryptography 利用3D手势密钥和密码技术预防汽车盗窃

2015 International Conference on Computing Communication Control and Automation Pub Date : 2015-02-26 DOI: 10.1109/ICCUBEA.2015.64

M. Shakil, M. Rashid, Ajit B. Patil

引用次数: 1

Improvement in k-Means Clustering Algorithm Using Data Clustering 基于数据聚类的k-Means聚类算法改进

2015 International Conference on Computing Communication Control and Automation Pub Date : 2015-02-26 DOI: 10.1109/ICCUBEA.2015.205

K. Rajeswari, O. Acharya, M. Sharma, Mahesh Kopnar, K. Karandikar

{"title":"Improvement in k-Means Clustering Algorithm Using Data Clustering","authors":"K. Rajeswari, O. Acharya, M. Sharma, Mahesh Kopnar, K. Karandikar","doi":"10.1109/ICCUBEA.2015.205","DOIUrl":"https://doi.org/10.1109/ICCUBEA.2015.205","url":null,"abstract":"The set of objects having same characteristics are organized in groups and clusters of these objects reformed known as Data Clustering. It is an unsupervised learning technique for classification of data. K-means algorithm is widely used and famous algorithm for analysis of clusters. In this algorithm, n number of data points are divided into k clusters based on some similarity measurement criterion. K-Means Algorithm has fast speed and thus is used commonly clustering algorithm. Vector quantization, cluster analysis, feature learning are some of the application of K-Means. However results generated using this algorithm are mainly dependant on choosing initial cluster centroids. The main short come of this algorithm is to provide appropriate number of clusters. Provision of number of clusters before applying the algorithm is highly impractical and requires deep knowledge of clustering field. In this project, we are going to propose an algorithm for improvement in the initializing the centroids for K-Means algorithm. We are going to work on numerical data sets along with the categorical datasets with the n dimensions. For similarity measurement we are going to consider the Manhattan distance,Dice distance and cosine distance. The result of this proposed algorithm will be compared with the original K-Means. Also the quality and complexity of the proposed algorithm will be checked with the existing algorithm.","PeriodicalId":325841,"journal":{"name":"2015 International Conference on Computing Communication Control and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130654112","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: 21

A Hybrid Color Plane Approach Towards Color Based Object Detection and Modeling of a Real-Time Gesture Based Intelligent Virtual Aid Using Artificial Neural Network 一种基于颜色的混合颜色平面方法及基于人工神经网络的实时手势智能虚拟助手建模

2015 International Conference on Computing Communication Control and Automation Pub Date : 2015-02-26 DOI: 10.1109/ICCUBEA.2015.173

P. Das, Annesha Mukherjee, A. Dey, Debasish Kundu, Sudipta Ghosh, Sauvik Das Gupta

{"title":"A Hybrid Color Plane Approach Towards Color Based Object Detection and Modeling of a Real-Time Gesture Based Intelligent Virtual Aid Using Artificial Neural Network","authors":"P. Das, Annesha Mukherjee, A. Dey, Debasish Kundu, Sudipta Ghosh, Sauvik Das Gupta","doi":"10.1109/ICCUBEA.2015.173","DOIUrl":"https://doi.org/10.1109/ICCUBEA.2015.173","url":null,"abstract":"Augmented and Virtual Reality has become a highly researched subfield in the Computer Vision domain. Among various researched topics, object detection and tracking is a major field of interest, with various algorithms being developed for it. Various algorithms exist that employs different approaches to solving the problem of object detection. The approach that we take is a mixture of investigating and evaluating the previous approaches and coming up with a novel algorithm that is able to detect and track objects in real-time that is not tightly bound to specific colours. In order to implement a dynamic algorithm, we look into various colour planes and then take in multiple dimensions from a given colour plane and use a combination of the results obtained from the individual dimensions to get a result that is capable of detecting various range of colours. After the objects are satisfactorily detected, we proceed to track them and implement gestures that allow the users to elect a single colour to be tracked without any direct interactions, using a novel algorithm that we developed over the course of the research. After the election, the algorithm is expanded further to be able to integrate the ability to detect various gestures and patterns. The system is also capable of basic intelligence and is able to modify its phases as necessary based on the user's interaction with the system. As such most of the system is user action dependent and free of any physical interaction. All the while, the algorithm is designed to be able to do all the processing in real-time.","PeriodicalId":325841,"journal":{"name":"2015 International Conference on Computing Communication Control and Automation","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131758025","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: 1