2016 International Conference on Recent Trends in Information Technology (ICRTIT)最新文献

An automated computer aided diagnosis of skin lesions detection and classification for dermoscopy images 一种用于皮肤镜检查图像的皮肤病变检测和分类的自动计算机辅助诊断

2016 International Conference on Recent Trends in Information Technology (ICRTIT) Pub Date : 2016-04-08 DOI: 10.1109/ICRTIT.2016.7569538

R. Suganya

{"title":"An automated computer aided diagnosis of skin lesions detection and classification for dermoscopy images","authors":"R. Suganya","doi":"10.1109/ICRTIT.2016.7569538","DOIUrl":"https://doi.org/10.1109/ICRTIT.2016.7569538","url":null,"abstract":"Skin cancer is a deadly disease nowadays. So, early detection and prevention are essential. To classify the skin lesions in accurate manner an automatic Computer-Aided Diagnosis (CAD) for dermoscopy images were needed. The lesion segmentation is vital in the classification process. For segmenting the skin lesions many researchers have been developed different methods on melanocytic skin lesions (MSLs) and few methods for non-melanocytic skin lesions (NoMSLs), while the accurate segmentation for the variety of lesions are somewhat risky. In this K-means clustering is used for segmentation. After lesion is segmented extract the features such as color, text and shape. Many methods are used for classification but they focus only on melanocytic skin lesion i.e detecting melanoma only. Other lesion should also be classified for that a novel approach is used in this paper. The support vector machine (SVM) classifier was used for classification of skin lesions such as Melanoma, Basal cell carcinoma (BCC), Seborrhoeic keratosis (SK) and Nevus. The dataset collected from Dermweb. We used 100 NoMSLs and 220 MSLs set of images. Our classification method has achieved better accuracy as compared to others.","PeriodicalId":351133,"journal":{"name":"2016 International Conference on Recent Trends in Information Technology (ICRTIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129707812","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: 49

An application of image processing techniques for detection of diseases on brinjal leaves using k-means clustering method 基于k均值聚类方法的图像处理技术在茄子叶片病害检测中的应用

2016 International Conference on Recent Trends in Information Technology (ICRTIT) Pub Date : 2016-04-08 DOI: 10.1109/ICRTIT.2016.7569531

R. Anand, S. Veni, J. Aravinth

引用次数: 97

IoT smart parking system for reducing green house gas emission 减少温室气体排放的物联网智能停车系统

2016 International Conference on Recent Trends in Information Technology (ICRTIT) Pub Date : 2016-04-08 DOI: 10.1109/ICRTIT.2016.7569513

引用次数: 46

Design space exploration for IoT based traffic density indication system 基于物联网的交通密度指示系统设计空间探索

2016 International Conference on Recent Trends in Information Technology (ICRTIT) Pub Date : 2016-04-08 DOI: 10.1109/ICRTIT.2016.7569528

Shubham N. Mahalank, Keertikumar B. Malagund, R. Banakar

{"title":"Design space exploration for IoT based traffic density indication system","authors":"Shubham N. Mahalank, Keertikumar B. Malagund, R. Banakar","doi":"10.1109/ICRTIT.2016.7569528","DOIUrl":"https://doi.org/10.1109/ICRTIT.2016.7569528","url":null,"abstract":"A complex Internet of Things infrastructure needs systematic approach in the initial stages of the design to freeze between many available design alternatives. The decisions are located at the infrastructure level, mode of data transmission and software module development level. The choices affect the several design goals indicating the alternatives to represent a multi-criteria problem to judge the quality of the new IoT design. The performance and the response time along with cost for the application in Smart Traffic Management System is the criteria. Several aspects of the design space environment are investigated to answer the question that arise at the system level integration phase, in particular the communication mode devices, software modules, design integration issue and user services are uniquely identified from this framework. The required interface units, data transfer mode and software tool suite is provided using the IoT design space exploration approach. Users preferences based on the service requirement describes an end objective design response that can be used in the solution model.","PeriodicalId":351133,"journal":{"name":"2016 International Conference on Recent Trends in Information Technology (ICRTIT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115900866","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

Detection of communities in dynamic social networks 动态社会网络中的社区检测

2016 International Conference on Recent Trends in Information Technology (ICRTIT) Pub Date : 2016-04-08 DOI: 10.1109/ICRTIT.2016.7569567

S. Krishnan, S. Karthika, S. Bose

引用次数: 3

A selection approach in service composition of SOA SOA服务组合中的一种选择方法

2016 International Conference on Recent Trends in Information Technology (ICRTIT) Pub Date : 2016-04-08 DOI: 10.1109/ICRTIT.2016.7569573

B. Sahoo, Prachet Bhuyan

{"title":"A selection approach in service composition of SOA","authors":"B. Sahoo, Prachet Bhuyan","doi":"10.1109/ICRTIT.2016.7569573","DOIUrl":"https://doi.org/10.1109/ICRTIT.2016.7569573","url":null,"abstract":"In recent years, research has been going in the field of service composition to improvise and gain fast delivery of complex applications. These complex business processes from heterogeneous service providers are composed as services at the run time to match the requirements of the consumers. Service composition has been acknowledged as a promising approach to create composite services that are capable of supporting service user needs. Service composition addresses and resolves these business requirements raised by various end users from time to time. Service composition in SOA has various techniques to compose services dynamically based on users' requirements, considering both functional and non-functional requirements. In our work, we have proposed a framework of dynamic service composition based on the service-composition life-cycle phases. After the service discovery, the selection of potential services for composition is a challenging task. For the selection of right candidate services in the composition process, we have also considered the non-functional requirements, which are the quality of services (QoS) aspects. We have proposed a selection algorithm for obtaining a reduced set of candidate services for the service composition process.","PeriodicalId":351133,"journal":{"name":"2016 International Conference on Recent Trends in Information Technology (ICRTIT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131055575","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: 2

Performance of k-means based satellite image clustering in RGB and HSV color space 基于k均值的RGB和HSV色彩空间卫星图像聚类性能

2016 International Conference on Recent Trends in Information Technology (ICRTIT) Pub Date : 2016-04-08 DOI: 10.1109/ICRTIT.2016.7569523

G. Kumar, P. Parth, Sarthi Prabhat, Ranjan R Rajesh

引用次数: 15

Feature based image retrieval system using Zernike moments and Daubechies Wavelet Transform 基于泽尼克矩和小波变换的特征图像检索系统

2016 International Conference on Recent Trends in Information Technology (ICRTIT) Pub Date : 2016-04-08 DOI: 10.1109/ICRTIT.2016.7569541

D. Sudarvizhi

{"title":"Feature based image retrieval system using Zernike moments and Daubechies Wavelet Transform","authors":"D. Sudarvizhi","doi":"10.1109/ICRTIT.2016.7569541","DOIUrl":"https://doi.org/10.1109/ICRTIT.2016.7569541","url":null,"abstract":"In image processing research field, image retrieval is extensively used in various application. Increasing need of the image retrieval, it is quiet most exciting research field. In image retrieval system, features are the most significant process used for indexing, retrieving and classifying the images. For computer systems, automatic indexing, storing and retrieving larger image collections effectively are a critical task. Nowadays several retrieval systems were implemented to overcome these issues but still there is a lack of speed and accuracy during image retrieval process. First, address the various issues on performance degradation of image retrieval then analyze and compare the methods and results in previous work. Second, discover the effective approach to be used to increase the accuracy of retrieval system significantly. This work provides a framework based on low level features extraction using Daubechies Wavelet Transform (DWT) and Zernike moments. Based on that features images are retrieved by using the distance measure. Zernike moments constitute a powerful shape descriptor due to its strength and narrative capability. Experimental results shows that our scheme provides significant improvement on retrieval accuracy compared to existing system based on the combination of both the color and edge features by using Discrete Wavelet Transform. In this paper, wang's image dataset is used for experiments.","PeriodicalId":351133,"journal":{"name":"2016 International Conference on Recent Trends in Information Technology (ICRTIT)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132543070","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

Identification of Tamil ancient characters and information retrieval from temple epigraphy using image zoning 基于图像分区的泰米尔古文字识别与寺庙碑文信息检索

2016 International Conference on Recent Trends in Information Technology (ICRTIT) Pub Date : 2016-04-08 DOI: 10.1109/ICRTIT.2016.7569600

R. Giridharan, E. K. Vellingiriraj, P. Balasubramanie

{"title":"Identification of Tamil ancient characters and information retrieval from temple epigraphy using image zoning","authors":"R. Giridharan, E. K. Vellingiriraj, P. Balasubramanie","doi":"10.1109/ICRTIT.2016.7569600","DOIUrl":"https://doi.org/10.1109/ICRTIT.2016.7569600","url":null,"abstract":"The aim of this paper is to develop a system that involves character recognition and information retrieval of Brahmi, Vattezhuthu and Grantha letters from temple epigraphy and their conversion to the present Tamil digital text format. Though many researchers have implemented various algorithms and techniques for character recognition in different languages, Ancient letter conversion still poses a big challenge. Because Image recognition technology has reached near-perfection when it comes to scanning English and other language text. But optical character recognition (OCR) software capable of digitizing printed Tamil text with high levels of accuracy is still elusive. Only a few people are familiar with the ancient characters and make attempts to convert them into written documents manually. If this continues, all the precious information given by our forefathers will not be known to the future generations. The proposed system overcomes such a situation by converting all the ancient characters from inscriptions and palm manuscripts into Tamil digital text format. After converting into the Tamil digital text, the words will not be correct spelling. Because the ancient words are Etymological word, the meaning is not known. So this modal approach is to solve these types of problem and convert the Tamil digital text with meaning.","PeriodicalId":351133,"journal":{"name":"2016 International Conference on Recent Trends in Information Technology (ICRTIT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125480412","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: 16

Alleviating data sparsity and cold start in recommender systems using social behaviour 利用社会行为缓解推荐系统中的数据稀疏性和冷启动

2016 International Conference on Recent Trends in Information Technology (ICRTIT) Pub Date : 2016-04-08 DOI: 10.1109/ICRTIT.2016.7569532

R. Reshma, G. Ambikesh, P. S. Thilagam

{"title":"Alleviating data sparsity and cold start in recommender systems using social behaviour","authors":"R. Reshma, G. Ambikesh, P. S. Thilagam","doi":"10.1109/ICRTIT.2016.7569532","DOIUrl":"https://doi.org/10.1109/ICRTIT.2016.7569532","url":null,"abstract":"Recommender systems are used to find preferences of people or to predict the ratings with the help of information available from other users. The most widely used collaborative filtering recommender system by the e-commerce sites suffers from both the sparsity and cold-start problem due to insufficient data. Most of the existing systems consider only the ratings of the similar users and they do not give any preferences to the social behavior of users which shall aid the recommendations made to the user to a great extent. In this paper, instead of finding similarity from rating information, we propose a new approach which predicts the ratings of items by considering directed and transitive trust with timestamps and profile similarity from the social network along with the user-rated information. In cases where the trust and the rating details of users from the system is absent, we still make use of the social data of the users like the products liked by the user, user's social profile-education status, location etc. to make recommendation. Experimental analysis proves that our approach can improve the user recommendations at the extreme levels of sparsity in user-rating data. We also show that our approach works considerably well for cold-start users under the circumstances where collaborative filtering approach fails.","PeriodicalId":351133,"journal":{"name":"2016 International Conference on Recent Trends in Information Technology (ICRTIT)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124293399","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: 22