{"title":"CRLRM: Category Based Recommendation Using Linear Regression Model","authors":"Gourav Jain, Nishchol Mishra, S. Sharma","doi":"10.1109/ICACC.2013.11","DOIUrl":"https://doi.org/10.1109/ICACC.2013.11","url":null,"abstract":"A system that suggests list of most popular items to a set of users on the basis of their interest is named as recommendation system. Recommendation system filters the unnecessary information by applying knowledge discovery techniques for online users and has become the most powerful and admired tools in E-Business. ERPM is one of the easiest movie recommendation method, which overcomes the limitations of scalability and sparsity of recommendation system, but it generates predictions on the basis of probability model, which are less accurate and requires more time for calculations. This article presents a novel method named CRLRM (Category based Recommendation using Linear Regression Model) which is based on linear regression model that improves the prediction accuracy and speed up the calculations. Performance of proposed method is evaluated on the basis of MAE (Mean Absolute Error) comparison, and result obtained is far much better than ERPM and shows improvement in 30-40% of user ratings.","PeriodicalId":109537,"journal":{"name":"2013 Third International Conference on Advances in Computing and Communications","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114431822","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":"Enhanced Design of UWB Antenna with Dual Tapered Conical Wave Launcher for Biomedical Application","authors":"M. Sasikala, A. Petrishia, M. Samy","doi":"10.1109/ICACC.2013.21","DOIUrl":"https://doi.org/10.1109/ICACC.2013.21","url":null,"abstract":"The extensive availability of electromagnetic technology has led to increasing concerns on the possible health hazards. Meanwhile the EM interactions with biological materials have generated considerable interest in a variety of biological and medical applications. The main application of this work is to treat skin cancer using Impulse Radiating antenna because of its effective focus on the affected area only. Impulse Radiating Antenna can radiate very fast electromagnetic pulse with high field amplitude. Recent research shows that such pulse can be used to kill melanoma cells. This antenna uses Intense sub Nano second electric pulse for radiating on the skin. This way of treating cancerous cells ensure very less radiation on the normal part of our body. The design provides a new way of treating skin cancer, which assures better treatment than the rest one due to its effective focus, high gain and effectively treats deep-seated tumors. This paper shows that the enhanced gain of dual tapered arm compared to tradition arm feed arm. Simulation of designed antenna using CST Studio Suite and its observed parameters are open in this paper.","PeriodicalId":109537,"journal":{"name":"2013 Third International Conference on Advances in Computing and Communications","volume":"443 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113986675","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}
A. Bagalkotkar, A. Kandelwal, S. Pandey, S. Kamath
{"title":"A Novel Technique for Efficient Text Document Summarization as a Service","authors":"A. Bagalkotkar, A. Kandelwal, S. Pandey, S. Kamath","doi":"10.1109/ICACC.2013.17","DOIUrl":"https://doi.org/10.1109/ICACC.2013.17","url":null,"abstract":"Due to an exponential growth in the generation of web data, the need for tools and mechanisms for automatic summarization of Web documents has become very critical. Web data can be accessed from multiple sources, for e.g. on different Web pages, which makes searching for relevant pieces of information a difficult task. Therefore, an automatic summarizer is vital towards reducing human effort. Text summarization is an important activity in the analysis of a high volume text documents and is currently a major research topic in Natural Language Processing. It is the process of generation of the summary of an input document by extracting the representative sentences from it. In this paper, we present a novel technique for generating the summarization of domain specific text from a single Web document by using statistical NLP techniques on the text in a reference corpus and on the web document. The summarizer proposed generates a summary based on the calculated Sentence Weight (SW), the rank of a sentence in the document's content, the number of terms and the number of words in a sentence, and using term frequency in the input corpus.","PeriodicalId":109537,"journal":{"name":"2013 Third International Conference on Advances in Computing and Communications","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123681636","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":"TaskTracker Aware Scheduling for Hadoop MapReduce","authors":"Jisha S. Manjaly, Varghese S. Chooralil","doi":"10.1109/ICACC.2013.103","DOIUrl":"https://doi.org/10.1109/ICACC.2013.103","url":null,"abstract":"Hadoop is a framework for processing large amount of data in parallel with the help of Hadoop Distributed File System (HDFS) and MapReduce framework. Job scheduling is an important process in Hadoop MapReduce. Hadoop comes with three types of schedulers namely FIFO, Fair and Capacity Scheduler. The schedulers are now a plug gable component in the Hadoop MapReduce framework. When jobs have a dependency on an external service like database or Web service may leads to the failure of tasks due to overloading. In this scenario, Hadoop needs to re-run the tasks in another slots. To address this issue, Task Tracker aware scheduling has introduced. This scheduler enables users to configure a maximum load per Task Tracker in the Job Configuration itself. The algorithm will not allow a task to run and fail if the load of the Task Tracker reaches its threshold for the job. Also this scheduler allows the users to select the Task Tracker's per Job in the Job configuration.","PeriodicalId":109537,"journal":{"name":"2013 Third International Conference on Advances in Computing and Communications","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127486716","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}
R. Parvathy, Soumya Thilakan, Meenu Joy, K. Sameera
{"title":"Anomaly Detection Using Motion Patterns Computed from Optical Flow","authors":"R. Parvathy, Soumya Thilakan, Meenu Joy, K. Sameera","doi":"10.1109/ICACC.2013.18","DOIUrl":"https://doi.org/10.1109/ICACC.2013.18","url":null,"abstract":"A method is proposed for detecting anomalies in extremely crowded scenes using analysis of motion patterns. The optical flow is computed by initializing the video as a dynamical system. Optical flow is a vector field where each vector represents the direction and amount of motion. This generated model can be used to define trajectories. Then these trajectories are clustered hierarchically using spatial and temporal information for learning the motion patterns. Based on the learned statistical motion patterns, anomalies are detected using statistical methods.","PeriodicalId":109537,"journal":{"name":"2013 Third International Conference on Advances in Computing and Communications","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127488743","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":"Reduction of MAI Using Optical Normaliser in an Optical CDMA System","authors":"Anila John, S. Raj","doi":"10.1109/ICACC.2013.19","DOIUrl":"https://doi.org/10.1109/ICACC.2013.19","url":null,"abstract":"Optical Code Division Multiple Access (OCDMA) is a technology which supports multiple simultaneous transmissions in the same time slot and the same frequency to realize multiplexing transmission and multiple accesses by coding in the optical domain. But one of the major disadvantages of the multi user system is the Multiple Access Interference (MAI) that can occur due to the false detection of incoming signals by the users at receiver side. This MAI can be reduced by using an Optical Hard Limiter (OHL) at the receiver front end. But use of OHL has the drawback that it is incapable of handling random signals effectively. So a new technique using Optical Normaliser (ON) for dynamic thresholding is introduced, that can effectively handle random signals. The Bit Error Rate (BER), Q factor and the received power of the system using ON is analysed and improvement in above factors are observed than that of using OHL. The simulations are carried out using commercially available simulator from Rsoft, OptSim 5.3.","PeriodicalId":109537,"journal":{"name":"2013 Third International Conference on Advances in Computing and Communications","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115646704","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}
Ankita Banerjee, Sudipta Dey, Shubhankar Parui, M. Nasipuri, Subhadip Basu
{"title":"Design of 3-D Phantoms for Human Carotid Vasculature","authors":"Ankita Banerjee, Sudipta Dey, Shubhankar Parui, M. Nasipuri, Subhadip Basu","doi":"10.1109/ICACC.2013.74","DOIUrl":"https://doi.org/10.1109/ICACC.2013.74","url":null,"abstract":"Structural analysis of human carotid vasculature is important for in-depth clinical understanding and to delineate the underlying hemodynamics. Due to the natural difficulty in real-life patient study or ex-vivo analysis, digital phantom based experiments are gathering momentum. Design of accurate/approximate digital cerebro-vascular phantoms is of active interest, due to its acceptability in a wide range of simulation experiments. In this work, we discuss the theory and methods related to the design of 3-D mathematical models of human carotid arterial tree. These approximate phantoms are designed using sphere-based tubular structures, with a help of a custom-designed 2-D/3-D user interface. Multiple tubular structures with varying diameters are combined using piece-wise cubic Bèzier Curves to generate the complete arterial phantom, around the Circle of Willis. We propose robust mathematical models for the design of multilevel bifurcation phantoms with varying diameters. Qualitative analysis of the design strategy is presented with suitable 3-D rendering.","PeriodicalId":109537,"journal":{"name":"2013 Third International Conference on Advances in Computing and Communications","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114726158","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":"Cumulative Acoustic Signal Based Traffic Density State Estimation","authors":"P. Borkar, L. Malik","doi":"10.1109/ICACC.2013.40","DOIUrl":"https://doi.org/10.1109/ICACC.2013.40","url":null,"abstract":"Based on the information present in cumulative acoustic signal acquired from a roadside-installed single microphone, this paper considers the problem of vehicular traffic density state estimation. The occurrence and mixture weightings of traffic noise signals (Tyre, Engine, Air Turbulence, Exhaust, and Honks etc) are determined by the prevalent traffic density conditions on the road segment. In this work, we extract the short-term spectral envelope features of the cumulative acoustic signals using LPC (Linear Predictive Coding). Support Vector Machines (SVM) is used as classifier is used to model the traffic density state as Low (40 Km/h and above), Medium (20-40 Km/h), and Heavy (0-20 Km/h). For the developing geographies where the traffic is non-lane driven and chaotic, other techniques (magnetic loop detectors) are inapplicable. SVM classifier with different kernels are used to classify the acoustic signal segments spanning duration of 20-40 s, which results in average classification accuracy of 98.33% and 96.67% for quadratic and polynomial kernel functions respectively.","PeriodicalId":109537,"journal":{"name":"2013 Third International Conference on Advances in Computing and Communications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130276505","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":"Optimization of Cooperative Spectrum Sensing under AWGN and Rayleigh Channels in Cognitive Radio Network","authors":"Vidyadhar Reddy, N. Murthy","doi":"10.1109/ICACC.2013.32","DOIUrl":"https://doi.org/10.1109/ICACC.2013.32","url":null,"abstract":"This paper deals with cooperative spectrum sensing (CSS) under AWGN and Rayleigh channels with energy detection as sensing technique for cognitive radio network (CRN). The performance of m-out-of-N voting rule, OR fusion logic and AND fusion logic rules under varying threshold is studied, appropriate range of thresholds over which particular fusion rule can be applied has been investigated. An optimum voting rule has been used for AWGN and Rayleigh channels with an aim to improve the performance for real time implementation. A generalized optimal voting rule is derived to minimize the number of cognitive radios (CRs) required to meet target error bound. Simulations are performed for both the channels and the results are found to be comparable with the analytical results. It is observed that 2CRs for Rayleigh channel and 5 CRs for AWGN channel gives minimum error in a CRN of 10 CRs.","PeriodicalId":109537,"journal":{"name":"2013 Third International Conference on Advances in Computing and Communications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130961151","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":"Improving the Accuracy of Ensemble Classifier Prediction Model Based on FLAME Clustering with Random Forest Algorithm","authors":"S. M. Augusty, S. Izudheen","doi":"10.1109/ICACC.2013.58","DOIUrl":"https://doi.org/10.1109/ICACC.2013.58","url":null,"abstract":"Recent approaches in the area of ensemble classification of data aim to make base classifier's error uncorrelated as possible though learning is given little importance. The substantial increase in the learning of the base classifier can propagate better prediction to the final fusion classifier. Therefore a novel approach to enhance the learning capability of the base classifier by fuzzy based clustering has been proposed in this paper. The learning of the base classifier has been drastically improved with the advent of fuzzy decision boundaries manipulated by the algorithm FLAME known as fuzzy clustering by local approximation of membership of the data in the clusters. The proposed model is a combination of unsupervised and supervised learning. Decision trees are used as the base classifiers which are integrated over the probability model based on Bayes' theorem. Decision trees form the ensemble and fusion classification is performed by the Random Forest algorithm along with Bayesian model averaging. The accuracy is evaluated over benchmark dataset from the UCI machine repository.","PeriodicalId":109537,"journal":{"name":"2013 Third International Conference on Advances in Computing and Communications","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125605620","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}