2017 3rd International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT)最新文献_第7页

Protection policy in networked locations using machine learning and data science approach 使用机器学习和数据科学方法的网络位置保护策略

2017 3rd International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT) Pub Date : 2017-12-01 DOI: 10.1109/ICATCCT.2017.8389140

S. S. S. Reddy, Ramesh Shahabadkar, Ch Mamatha, P. Chatterjee

引用次数: 1

Unsupervised feature learning using deep learning approaches and applying on the image matching context 使用深度学习方法的无监督特征学习，并将其应用于图像匹配上下文

2017 3rd International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT) Pub Date : 2017-12-01 DOI: 10.1109/ICATCCT.2017.8389137

Suyog Trivedi, R. Kumar, Gopichand Agnihotram, Pandurang Naik

{"title":"Unsupervised feature learning using deep learning approaches and applying on the image matching context","authors":"Suyog Trivedi, R. Kumar, Gopichand Agnihotram, Pandurang Naik","doi":"10.1109/ICATCCT.2017.8389137","DOIUrl":"https://doi.org/10.1109/ICATCCT.2017.8389137","url":null,"abstract":"Image matching is quite challenging task to identify the matching images in the data. There are multiple methods in computer vision techniques such as histogram based algorithms, color/edge based algorithms, textual based features, SIFT and Surf algorithms which will help to identify the similar images. Here in our paper we are addressing an Industrial problem to provide the better solution where US multinational courier delivery services facing challenges in delivering the products where labels/tags and barcodes of the products are missed while delivering to the customers and customer comes with the product image and with some information about the product. The job is to map the user/customer product information with the existing missed products in the database in order to deliver them. This entire process currently goes manual and it takes lot of time to address the missed products. The advances in computer science and availability of GPU machines, the problem will be addressed and solution can be automated using deep learning approaches. The paper describes the solution for matching the images accurately and comparing the solution with the existing classical computer vision algorithms.","PeriodicalId":123050,"journal":{"name":"2017 3rd International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114112911","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

Outlier detection in data streams using MCOD algorithm 用MCOD算法检测数据流中的异常值

2017 3rd International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT) Pub Date : 2017-12-01 DOI: 10.1109/icatcct.2017.8389156

S. Reddy, T. Harshita, S. Koneru, K. Ashesh

{"title":"Outlier detection in data streams using MCOD algorithm","authors":"S. Reddy, T. Harshita, S. Koneru, K. Ashesh","doi":"10.1109/icatcct.2017.8389156","DOIUrl":"https://doi.org/10.1109/icatcct.2017.8389156","url":null,"abstract":"Data mining is one of the most exciting fields of research for a researcher. In data mining, outlier detection is one of the important area where similar kind of data objects are grouped together and the objects that does not belong to the group are termed as outliers. This helps in finding objects that have different behavior with respect to other objects. Due to the presence of outliers overall nature of the data may be compromised. So it is a challenging task to find outliers present in the data. Every day huge amount data is flowing around us which belong to different streams, so our main is to find the objects that does not belong to the particular stream. In this paper, different outlier detection algorithms are described and implemented and the best algorithm among them is found based on their performance with the help of MOA tool. Performance issues like memory consumption, domain queries, time are shown. MOA tool contains prescribed algorithms where one can be used as a base algorithm to compare remaining algorithms. Each algorithm is an increasing and adaptive to concept extension. Finally the performance of each algorithm is tabled.","PeriodicalId":123050,"journal":{"name":"2017 3rd International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT)","volume":"275 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116166224","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

Gain enhancement of PIFA with DGS for wireless communication 基于DGS的PIFA无线通信增益增强

2017 3rd International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT) Pub Date : 2017-12-01 DOI: 10.1109/ICATCCT.2017.8389141

Prakriti Aggarwal, Parnika Saxena, Shuchismita Pani

引用次数: 2

Image enhancement of old manuscripts using machine learning 使用机器学习的旧手稿图像增强

2017 3rd International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT) Pub Date : 2017-12-01 DOI: 10.1109/ICATCCT.2017.8389104

Rishabh Kataria, Tushar Sharma, T. Choudhury, Praveen Kumar

引用次数: 1

An efficient method to predict software quality using soft computing techniques 利用软计算技术预测软件质量的有效方法

2017 3rd International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT) Pub Date : 2017-12-01 DOI: 10.1109/ICATCCT.2017.8389159

Ayush Rai, T. Choudhury, Sheetal Sharma, Kuo-Chang Ting

引用次数: 1