{"title":"Image retrieval using color and texture binary patterns","authors":"A. Bhagyalakshmi, V. V. Chamundeeswari","doi":"10.1109/ICGCIOT.2015.7380556","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2015.7380556","url":null,"abstract":"Image retrieval plays a major role in security systems to extract the images with similar features or patterns, to retrieve the relevant images in web search engines, in industries to detect crack in the manufactured parts, in architectural designs to find same texture patterns and so on. To accomplish efficiency in all the fields of image processing, the effective image retrieval mechanism is imminent. In this paper, we proposed a method based on the combination of binary texture patterns and color features. A Local Binary Pattern (LBP) plays an important role in extracting the binary texture features and color histogram. This feature is implemented to identify and extract features of prominent object present in an image. Using different statistical measures, similarity measures are calculated and evaluated. Image retrieval based on color or texture is a trivial task. Identifying objects of prominence in an image and retrieving image with similar features is a complex task. Finding prominent object in an image is difficult in a background image and is the challenging task in retrieving images. The Implementation results proved that proposed method is effective in recalling the images of same pattern or texture.","PeriodicalId":400178,"journal":{"name":"2015 International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126763937","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}
{"title":"Towards the formalization of Road traffic Management system for safety critical properties by Z notation","authors":"Monika Singh, Arun Kumar Sharma, R. Saxena","doi":"10.1109/ICGCIOT.2015.7380707","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2015.7380707","url":null,"abstract":"The endeavour of this paper is to use formal methods for safety critical systems for providing a formal verification approach. Z notation is a formal language, has been used for structuring the specification of proposed system: road traffic management system for instance, which is further verified by its tool, Z/EVES. This utter need to propose this approach is to make a system which is accurate, reliable and complete.","PeriodicalId":400178,"journal":{"name":"2015 International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126792896","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}
{"title":"Machine learning approaches on map reduce for Big Data analytics","authors":"J. Lakshmi, Ananthi Sheshasaayee","doi":"10.1109/ICGCIOT.2015.7380512","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2015.7380512","url":null,"abstract":"To analyze enormous datasets, collection of algorithms, associated systems and perform necessary processing on massive data structures there is obligation for a novel trend, which is framed by Big Data. Architecture of Big Data varies across compound machines and clusters with unique purpose sub systems. The data produced from several sources requires analysis and organization with meager amounts of time. To potentially speed up the processing, a unified way of machine learning is applied on MapReduce frame work. A broadly applicable programming model MapReduce is applied on different learning algorithms belonging to machine learning family for all business decisions. By using ML algorithms with Hadoop for better storage distribution will improve the time and processing speed. This paper presents parallel implementation of various machine learning algorithms implemented on top of MapReduce model for time and processing efficiency.","PeriodicalId":400178,"journal":{"name":"2015 International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123820008","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}
{"title":"Implementation of pattern discovery to retrieve relevant document using text mining","authors":"Shiva Gupta, B. P. Vasgi","doi":"10.1109/ICGCIOT.2015.7380483","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2015.7380483","url":null,"abstract":"Many data mining techniques are used to extract the patterns from the text documents. But the challenge is using those updated patterns is still a open research issue. Most of the text mining methods generally uses the term based approaches. The main problems faced by the term based approaches is of polysemy and synonymy. This paper focuses on the implementation of an particular discovery way to discover the pattern as well as use them to retrieve the relevant document. Two important process are used i.e pattern deploying and pattern evolving is included as the pattern discovery techniques. These techniques finds to be helpful in improving the effectiveness of the discovered patterns. These discovered patterns can be used in searching the relevant and important information for text mining. To improve the effectiveness of using and updating discovered patterns according to users view, experiments on RCV1 data collection achieves user required data from a large document by removing noisy pattern by pattern evolving.","PeriodicalId":400178,"journal":{"name":"2015 International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123892383","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}
{"title":"Security challenges in cloud","authors":"Sonali Shukla, Surrendra Yadav, Bhramdutt Bohra","doi":"10.1109/ICGCIOT.2015.7380695","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2015.7380695","url":null,"abstract":"Cloud Computing is a term which allows user to access the set applications to perform a group of functions or tasks on the internet enabled devices. The cloud has been divided into three types: private, public and hybrid which are briefly described in this paper. SaaS, IaaS and PaaS are the services of the cloud. Cloud is generally provided by the third party, thus it faces few security challenges which are required to be resolved. In this paper we have discussed those issues and also the security architecture needed for the same.","PeriodicalId":400178,"journal":{"name":"2015 International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114241235","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}
{"title":"Sentences and Circumplexes: Prediction of human behaviour and human emotional states in social media","authors":"Navanshu Rastogi","doi":"10.1109/ICGCIOT.2015.7380508","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2015.7380508","url":null,"abstract":"This report explores the usage of Circumplexes on an individual depth. Understanding and defining a person on basis of their emotions and interests. Using Circumplexes for valence of emotions [1]. Circumplex has been redefined for this type of work. The goal is to understand human emotions and predict them. Emotional states and Ideas has been treated differently throughout this report. Security of individuals, prediction of human behaviour has been dealt in this model. How this model can radically change the things like mobile application, artificial intelligence, internet services, video games and different media. Rating people on their emotional state (pleasure or displeasure). A basic understanding of how a person will be affected or react to a certain situations or about his/her interest in things can be predicted more accurately.","PeriodicalId":400178,"journal":{"name":"2015 International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114623575","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}
{"title":"Business model innovation through big data","authors":"Rashi Chaudhary, Jalaj Ranjan Pandey, Prakhar Pandey","doi":"10.1109/ICGCIOT.2015.7380469","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2015.7380469","url":null,"abstract":"Research depicts how big data analytics techniques have enabled the new business models which were either hard to shape or impossible to render. Big data platforms hold the promise of improved operational efficiencies and generation of greater revenues with enhanced business growth. Efficiency of big data techniques have been analyzed in the research uses the perspective that it delivers greater understanding of business value and ensures business growth. Value addition ensuring phenomenon has been explained through graphical method for business growth through big data techniques.","PeriodicalId":400178,"journal":{"name":"2015 International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"190 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116311013","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}
{"title":"Smart cities and smart homes: From realization to reality","authors":"Siddharth Mehrotra, Rashi Dhande","doi":"10.1109/ICGCIOT.2015.7380652","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2015.7380652","url":null,"abstract":"There is a buzz around the world about building smart cities and smart homes. Smart cities in brief can be defined as a city which uses digital technologies or information-communication technologies to make life of living beings more efficient and comfortable. Smart Home, comprising smart devices in the home context, promises enormous possibilities to our future life. At the same time, it might have its own influence to change our living habits. This paper sets to provide a way-out on how can a city and a home aspiring to become smart can really achieve it with putting up challenges that will be encountered in the path of achieving the goal.","PeriodicalId":400178,"journal":{"name":"2015 International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121507828","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}
{"title":"Realization of OFDM based free space optics","authors":"Raminderjit Singh, G. Soni","doi":"10.1109/ICGCIOT.2015.7380423","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2015.7380423","url":null,"abstract":"OFDM(Optical Frequency Division Multiplexing) provides a promising solution for delivering high data rate , large link range for Free space optical link even for worse atmospheric condition like fog, haze, rain etc. With the help of OFDM high spectral efficiency can be achieved as the data is distributed over large number of orthogonal carrier. This paper investigate the performance of Orthogonal Frequency Division Multiplexing (OFDM) based Free Space optical (FSO) Communication System. By using 4-Level QAM and OFDM Modulation, 20Gbps data is transmitted through the FSO system under different weather condition. Further improvement in the link rage can be done by use of SOA (semiconductor optical amplifier). In the current work maximum link range achieved is 260km for clear weather (attenuation 0.11dBm) whereas for heavy fog(attenuation 22dBm) the maximum distance achieved is 4 km.","PeriodicalId":400178,"journal":{"name":"2015 International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113997858","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}
{"title":"An efficient implementation of multi matrix clocks in the distributed system","authors":"Avaneesh Singh, N. Badal","doi":"10.1109/ICGCIOT.2015.7380459","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2015.7380459","url":null,"abstract":"Multi matrix is extended concept of the matrix clock. The concept of multi matrix clock is used in the distributed computing environment, when multicore processor systems are used in the distributed system. Multi matrix clock gives information of own process event as well as information about other processes which are running concurrently. Multi matrix clock synchronization algorithm is based on exchanging clock information among the nodes and tries to eliminate the effects of non-determinism in the message delay and data processing time. Multi matrix clock may contain many matrices at single events. And these matrices always follow the matrix clock synchronization rule. Multi matrix can be used in the check pointing as well as garbage collection.","PeriodicalId":400178,"journal":{"name":"2015 International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124307455","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}