2017 International Conference on Computing Methodologies and Communication (ICCMC)最新文献

{"title":"Contrast enhancement of night time imagery for traffic activity understanding","authors":"N. Verma, M. Dutta","doi":"10.1109/ICCMC.2017.8282578","DOIUrl":"https://doi.org/10.1109/ICCMC.2017.8282578","url":null,"abstract":"Traffic activity understanding is a vital research topic, as it not only tries to understand the changes in the traffic pattern during the different time periods in a day but also assist in the security of passengers. In the present times, the traffic condition in most urban settings is plagued by congestion and the problem of traffic management during night time conditions poses even greater challenges due to the various factors such as poor street light illumination, improper urban planning etc. Under these conditions, the visibility of vehicles and other objects on the streets are quite poor. Hence, image contrast enhancement techniques are required to be applied on such night time traffic imaging datasets for extraction and analysis of information. In this study, we compare the different state-of-the-art image contrast enhancement techniques suitable for the images acquired under low light and the results are compared and presented.","PeriodicalId":163288,"journal":{"name":"2017 International Conference on Computing Methodologies and Communication (ICCMC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126984344","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":"GMM cluster based choroid segmentation in EDI OCT images","authors":"V. Athira, R. Sindhu","doi":"10.1109/ICCMC.2017.8282562","DOIUrl":"https://doi.org/10.1109/ICCMC.2017.8282562","url":null,"abstract":"The structure of Choroidal layer can reflect many diseases such as polypoidal choroidal vasculopathy and choroidal tumors; hence proper segmentation of this layer is a major task. Also the assessment of choroidal thickness from Enhanced Depth Imaging (EDI-OCT) image is an important basis for diagnosing. Mostly this is done by manual labeling which is a tedious and complicated process especially when the numbers of images are more and thus automatic segmentation techniques should be developed to assist the ophthalmologist in diagnosis and monitoring of eye disease effectively. The segmentation of both Bruch Membrane (BM) and the Choroid-Sclera Interface (CSI) layer can be done by Choroidal segmentation. This paper presents a Dynamic Programming based algorithm for BM that denotes the upper bound of the choroid detection and Expectation Maximization (EM) based Gaussian Mixture Model (GMM) for CSI that denotes the lower bound of the choroid segmentation","PeriodicalId":163288,"journal":{"name":"2017 International Conference on Computing Methodologies and Communication (ICCMC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123837249","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":"Software implementation procedure of the development of an iris-biometric identification system using image processing techniques","authors":"N. Jagadeesh, C. M. Patil","doi":"10.1109/ICCMC.2017.8282552","DOIUrl":"https://doi.org/10.1109/ICCMC.2017.8282552","url":null,"abstract":"Biometrics are computerized techniques for distinguishing a man or confirming the personality of a man in view of a physiological or behavioral trademark. Biometric-based validation is the programmed personality check, in view of individual physiological or behavioral qualities, for example, fingerprints, voice, face and iris. Since biometrics is amazingly hard to produce and can't be overlooked or stolen, Biometric confirmation offers a helpful, exact, key and high secure option for a person, which makes it has preferences over conventional cryptography-based verification plans. In the current years, this biometrics has turned out to be most identifiable strategy for perceiving the individual in all round fields and is picking up unmistakable quality in the guard, managing an account, retail, buyer item, examinations, and so forth…. In this specific situation, a genuine exertion is being made to build up some novel strategy for distinguishing a man in type of building up a one of a kind biometric recognizable proof framework that has got some great preferences over the current techniques in the present situation. Quick preparing calculations are being created by keeping into mind the speed of calculation (3–4 secs). The colossal database is being considered to begin with, trailed by the pre-preparing, division, standardization, include extraction and the coordinating situation with the last coordinated outcomes. The elements of the information eye picture are contrasted and that of the components that is as of now put away in the database and on the off chance that it coordinates, the relating eye picture is recognized else it stays unidentified. In our exploration work, since a bitwise correlation is essential, we have picked the hamming separation is decided for recognizable proof. One preferred standpoint of the approach created in the exploration work considered is the speed of calculation and the straightforwardness of the biometric acknowledgment framework grew with the goal that it is easy to use and any layman can work it. In this paper, we exhibit the procedure, i.e., the calculation that we have received to build up the iris acknowledgment calculation in an immense arrangement of caught databases.","PeriodicalId":163288,"journal":{"name":"2017 International Conference on Computing Methodologies and Communication (ICCMC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123932265","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":"Implementing image compression using transform based approach","authors":"Mugdha Limaye, A. Paithane","doi":"10.1109/ICCMC.2017.8282582","DOIUrl":"https://doi.org/10.1109/ICCMC.2017.8282582","url":null,"abstract":"Nowadays there is an increased need to store images in all the fields such as medicine, engineering, industries. Mostly techniques like wavelet and discrete cosine transform have been implemented. Several techniques have been developed for lossy and lossless image compression, several techniques were developed. Image edges have limitations in capturing them if we make use 1-D wavelet transform simultaneously in 2 dimensions. This is because wavelet transform cannot effectively represent straight line discontinuities and be reconstructed in a proper manner like that of curvelet transform. The Curvelet Transform is more suitable for compressing images, which has more curved portions. Fast discrete curvelet transform is implemented is used that is implemented using stationary wavelet transform. The proposed method is tested on various medical images and the result shows better performance parameters like Peak Signal to Noise Ratio (PSNR) and Compression Ratio (CR) and Mean Square Error.","PeriodicalId":163288,"journal":{"name":"2017 International Conference on Computing Methodologies and Communication (ICCMC)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115908140","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":"Optimal placement & sizing of DG's using backtracking search algorithm in IEEE 33-bus distribution system","authors":"D. Sai Krishna Kanth, N. Sree Ramula Reddy, R. Siva Gangadhar Reddy","doi":"10.1109/ICCMC.2017.8282667","DOIUrl":"https://doi.org/10.1109/ICCMC.2017.8282667","url":null,"abstract":"This paper presents an efficient and fast-converging optimization technique based on a modification of the traditional big bang-big crunch method for optimal placement and sizing of voltage controlled distributed generators. The Proposed Backtracking Search Algorithm (BSA) has been applied on balanced and unbalanced distribution feeders and validated via comparing its results with published results done using different analytical and numerical methods. The method is capable of handling distribution systems of all sizes. A very recent swarm optimization technique namely backtracking search optimization algorithm (BSOA) is considered and compared with conventional Big Bang Big Crunch Method (BBBC). DGs supplying both active and reactive power have been studied. The proposed (BSA) algorithm is implemented in MATLAB environment and tested on the IEEE 33-bus feeder system.","PeriodicalId":163288,"journal":{"name":"2017 International Conference on Computing Methodologies and Communication (ICCMC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132189292","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":"IoT protocol based environmental data monitoring","authors":"Nishant M. Sonawala, Bharat V. Tank, Hardik Patel","doi":"10.1109/ICCMC.2017.8282629","DOIUrl":"https://doi.org/10.1109/ICCMC.2017.8282629","url":null,"abstract":"Day by day, the internet is unfolding and making various connectivity mechanism. The Internet of Things (IoT) is a mechanism, which provides communication between human to machine and machine to machine. Moreover, IoT connectivity mechanism is possible only by it's different protocols. This paper work contains previous comparison results of IoT protocols. However, the key aspects of this paper is to implement the MQ Telemetry Transport (MQTT) protocol on open source platform in context with Industrial Environment, to get real time data monitoring and controlling. In addition to that, real time data for industrial environmental information of different plants, such as temperature, pressure, humidity need to be monitor with mobile device and control rooms. Industry 4.0 is the smart factory model, in which, large amount of data (from production to dispatch and its environment) can be monitor and controlled with the use of Wi-Fi, internet of things (IoT), cloud computing (CC) and cyber physical system (CPS).","PeriodicalId":163288,"journal":{"name":"2017 International Conference on Computing Methodologies and Communication (ICCMC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131517421","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":"Designing communication techniques for PLC in automation with considering cleaning machine","authors":"V. P. Patel, H. Mewada, M. R. Tilwalli","doi":"10.1109/ICCMC.2017.8282589","DOIUrl":"https://doi.org/10.1109/ICCMC.2017.8282589","url":null,"abstract":"In normal situation, industrial firm will work more focus on the use of single PLC system design. For that they have limited number of input and output combination is available for the different work. In certain situation if engineers need more input and output combination than they must compulsory uses another PLC. And the main problem was both PLC is not going to work together. For overcoming this problem, so that I decided to work on that problem. For that certain situation, I have considered one application based on two PLC communication systems. In which use two PLC and try to make them as double inputs and double outputs combination. They will work together. In which I have considering one application for two PLC communications. Particularly in this application have considering four tank in which three tanks will be full previously and keep one tank empty. If I suppose to not keeping any of tank empty than at a onetime only washing or heating tank going work. So, we cannot save the time. so, for saving time purpose we are considering one spare tank the most important tank is washing and heating and another two tank for material loading and unloading process.","PeriodicalId":163288,"journal":{"name":"2017 International Conference on Computing Methodologies and Communication (ICCMC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133731443","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":"Vocal tract length normalization and sub-band spectral subtraction based robust assamese vowel recognition system","authors":"Swapnanil Gogoi, U. Bhattacharjee","doi":"10.1109/ICCMC.2017.8282709","DOIUrl":"https://doi.org/10.1109/ICCMC.2017.8282709","url":null,"abstract":"In this paper, vocal tract length normalization (VTLN) and sub-band spectral subtraction (SSS) have been used for speaker adaptation and noise reduction to develop an Assamese vowel recognition system which is robust to the speaker and environment variabilities. In the present work VTLN has been implemented to reduce the effects of inter speaker variabilities and sub-band spectral subtraction has been used to reduce the effects of environmental variabilities. The effectiveness of VTLN in noisy and noise-free environment has been evaluated for Assamese vowel recognition system. The Assamese vowel recognition system has been implemented using Hidden Markov Model (HMM). Mel Frequency Cepstral Coefficient (MFCC) has been used as feature vector. Experimented result shows that the performance of the system improved considerably after applying VTLN technique in noise-free and some of the noisy conditions.","PeriodicalId":163288,"journal":{"name":"2017 International Conference on Computing Methodologies and Communication (ICCMC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124283648","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":"Lexicon based sentiment analysis system for malayalam language","authors":"M. Ashna, Ancy K Sunny","doi":"10.1109/ICCMC.2017.8282571","DOIUrl":"https://doi.org/10.1109/ICCMC.2017.8282571","url":null,"abstract":"Sentiment Analysis is a natural language processing task that mines information from various text forms such as reviews, news, and blogs and classifies them by their polarity as positive, negative or neutral. Mining sentiments in Malayalam come with a lot of issues and challenges. As compared to English, Malayalam is a free order and morphologically rich language, which adds complexity while handling the user- generated content. Much of the research in Malayalam sentiment analysis has been done using different supervised learning techniques. Although the Supervised learning methods provide better accuracy compared to dictionary-based approach, supervised learning method cannot perform well without sufficient training examples. The accuracy of supervised learning method is directly related to the quality of training corpus created. In Dictionary based approach a sentiment lexicon is created from a pre-annotated seed list of words and its synonyms and antonyms obtained from WorldNet for the purpose of classifying the sentiment. Compared to supervised learning techniques dictionary based approach takes less processing time. But there is no sentiment lexicon readily available for the Malayalam language. So in order to perform sentiment analysis by using lexicon based approach, a sentiment lexicon should be created. In this work, a lexicon based document-level sentiment analysis system is proposed for Malayalam language. Dictionary based approach is used to develop the Malayalam sentiment lexicon. This is because, dictionary based method is typically more efficient than other approaches and include all the words. Besides, dictionary approach is not domain specific that means it is applicable to all domains. The proposed system gives an accuracy of 87.5% for sentence level classification and 90% for document-level classification.","PeriodicalId":163288,"journal":{"name":"2017 International Conference on Computing Methodologies and Communication (ICCMC)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124533336","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":"Plant leaf disease management system","authors":"R. R. Kulkarni, A. Sutagundar","doi":"10.1109/ICCMC.2017.8282581","DOIUrl":"https://doi.org/10.1109/ICCMC.2017.8282581","url":null,"abstract":"Plant trees are extremely needful that the general population expend the different sorts of foods grown from the ground day by day and are influenced by different sicknesses like Citrus infection, Black-spot, and the Leaf-digger which are to be dealt with by the agriculturists inside some an opportunity to expand their creation. Ailment acknowledgment on Plant leaves is a troublesome work. Numerous sicknesses generally perceived on leaves of Plants. By taking the correct solution for the malady, so that harvest misfortunes ought to likewise lessens. This framework is useful for the proprietors of the yield to perceive the sort of the malady and causes them to control inside minimum measure of time. Our framework perceives the sort of sickness in that capacity as they happen on leaf of the plants. The primary point of this venture is to recognize the malady of the Plant leaves and giving proper answer for that infection. At first the pictures of the plant leaves are caught through the high determination computerized camera for good quality. At that point the caught pictures are changed over from RGB to dark scale level for improvement. These changed over pictures are sectioned by the strategy called K-Means group to extricate the ailing part on the leave and the Neural Network is utilized for arrangement. Consequently our proposed framework expands the product yield and enhances the cultivating financially.","PeriodicalId":163288,"journal":{"name":"2017 International Conference on Computing Methodologies and Communication (ICCMC)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115063780","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}