{"title":"Development of DE based adaptive techniques for nonlinear system identification","authors":"P. Khuntia, B. Sahu, P. Kanungo","doi":"10.1109/ReTIS.2011.6146891","DOIUrl":"https://doi.org/10.1109/ReTIS.2011.6146891","url":null,"abstract":"Nonlinear System Identification is generally used in control system, pattern recognition and optimization problem. In past the Least Mean Square Algorithm (LMS), Recursive least square (RLS), Artificial Neural Network (ANN) and Genetic Algorithm (GA) have been successfully employed for nonlinear system identification. The LMS, RLS and ANN techniques are derivative based and hence are chances that the parameters may fall to local minima during training. Though GA is a derivative free technique, it takes more converging time. We propose a novel identification technique based on Differential Evolution (DE). DE is an efficient and powerful population based stochastic search technique for solving optimization problems over continuous space and hence the system identification performance is expected to be superior.","PeriodicalId":137916,"journal":{"name":"2011 International Conference on Recent Trends in Information Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128769708","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":"Edge preserving restoration of random valued impulse noises (EPRRVIN)","authors":"J. K. Mandal, S. Mukhopadhyay","doi":"10.1109/ReTIS.2011.6146887","DOIUrl":"https://doi.org/10.1109/ReTIS.2011.6146887","url":null,"abstract":"To remove random valued impulse noise from the digital images, a novel two step method has been proposed. The first step is to classify whether the center pixel in the 5 × 5 window is noisy or not, which is done using all neighbor directional weighted pixels in a 5 × 5 mask. The proposed algorithm performs simple arithmetic absolute differences on the pixels aligned in the four main directions with the center pixel. On detection of noisy pixels an advance median filter has been proposed for restoration of noisy pixel where a variable window consisting of 3 × 3 and 5 × 5 respectively have been used. To optimize the results, a 3-D search space has been used on user supplied parameters in a wide range. Proposed algorithm obtains better results in suppression of RVIN in digital images than the existing operators. The algorithm also preserves fine textures and details in the restored images.","PeriodicalId":137916,"journal":{"name":"2011 International Conference on Recent Trends in Information Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131056573","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}
T. Chakraborti, Abhronil Sengupta, D. Banerjee, A. Konar, S. Bhattacharyya, A. Khasnobish, R. Janarthanan
{"title":"Implementation of EEG based control of remote robotic systems","authors":"T. Chakraborti, Abhronil Sengupta, D. Banerjee, A. Konar, S. Bhattacharyya, A. Khasnobish, R. Janarthanan","doi":"10.1109/ReTIS.2011.6146868","DOIUrl":"https://doi.org/10.1109/ReTIS.2011.6146868","url":null,"abstract":"The paper provides a novel approach to control the motion and orientation of a mobile robot using an encoded sequence of arm movements, obtained from the motor imagery indicated by electroencephalographic measurements. The importance of the proposed scheme lies in maintaining secrecy and privacy in control or management of remote robotic systems, as the signals liberated from the user's brain is not accessible to any third party even during the execution phase of the command and hence can find applications in the defense sector. For our demonstration we have successfully differentiated six classes of limb movements from the raw EEG data, encoded the classified signals and used this to control the movements of a Khepera mobile robot. Experiments have been undertaken to study the suitability of the scheme, and the results are promising.","PeriodicalId":137916,"journal":{"name":"2011 International Conference on Recent Trends in Information Systems","volume":"271 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132741733","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":"Visual data mining to discover knowledge patterns from Web navigational trends","authors":"N. Neelima, Syeda Farha Shazmeen","doi":"10.1109/ReTIS.2011.6146851","DOIUrl":"https://doi.org/10.1109/ReTIS.2011.6146851","url":null,"abstract":"Discovering web navigational trends and understanding data mining results which is useful to web designers and web-based application builders. It is also desirable to interactively investigate web access data and patterns, Visualizing the usage data in the context of the web site structure is of major importance, as it puts web access requests and their connectivity in perspective. The visualization tool we used to represent the data mining functionalities to generate new patterns. Here we present our visual data mining system, WebViz, which allows interactive investigation of web usage data within their structure context, as well as ad-hoc knowledge, by using Webwiz pattern discovery on web navigational behaviour.","PeriodicalId":137916,"journal":{"name":"2011 International Conference on Recent Trends in Information Systems","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133953819","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":"Molecular machinery-a nanorobotics control system design for cancer drug delivery","authors":"Sankar Karan, D. D. Majumder","doi":"10.1109/ReTIS.2011.6146867","DOIUrl":"https://doi.org/10.1109/ReTIS.2011.6146867","url":null,"abstract":"We present a new approach within mathematical formalisms for the problem of self assembly in molecular systems automation and its application in targeted drug delivery for cancer treatment. The problem under study concentrates its main focus on nano-robot control systems design including systems casualty, state notation and automata. We also describe the theory of nano-scale thermodynamically driven self assembly for collaborative information processing in a Bio-nanorobotics systems. A fuzzy shaped based approach is described in context of recognizing a single malignant cell along with its stage, as a target for medical treatment. The synthesis and imaging of magnetic nanoparticles, that can be functionally bind with the medicine and reached the effected regions for targeted drug delivery, such as in cancer treatment is also presented. A cybernetics approach for control, communication and computation in infinitesimal machinery systems with integration to complex man-machines systems in the light of general systems theory is suggested.","PeriodicalId":137916,"journal":{"name":"2011 International Conference on Recent Trends in Information Systems","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121377508","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":"Analysis of pixel level features in recognition of real life dual-handed sign language data set","authors":"Himanshu Lilha, D. Shivmurthy","doi":"10.1109/ReTIS.2011.6146876","DOIUrl":"https://doi.org/10.1109/ReTIS.2011.6146876","url":null,"abstract":"This paper demonstrates the evaluation of various pixel level features for the dual handed sign language data set. Data sets are collected from the real life scenario. We compare the feature extraction methods like Histogram of Orientation Gradient (HOG), Histogram of Boundary Description (HBD) and the Histogram of Edge Frequency (HOEF). The accuracy of HOG and HBD found up to 71.4% and 77.3% whereas the accuracy of HOEF in real life data set is 97.3% and in ideal condition 98.1%.","PeriodicalId":137916,"journal":{"name":"2011 International Conference on Recent Trends in Information Systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114348179","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}
S. Bhattacharjee, Boudhayan Bhattacharya, Saunak Sengupta, Owijesh Outta Majumder
{"title":"Delivery time delay analysis of MLFFA based on queuing model","authors":"S. Bhattacharjee, Boudhayan Bhattacharya, Saunak Sengupta, Owijesh Outta Majumder","doi":"10.1109/ReTIS.2011.6146889","DOIUrl":"https://doi.org/10.1109/ReTIS.2011.6146889","url":null,"abstract":"In this paper, we described the Queuing delay in our own MLFFA architecture based on data fusion and analyzed different data fusion filter architectures available in the literature with our new Multi-level Federated Architecture (MLFFA) to improve the filtration of each signaling sensor for a reference sensor (RS) within its fusion domain. It is done by sending the individual sensor data through multiple levels of local filters (LF). This process reduces both Rate of Data Loss and eases the load on Master Fusion Filter (MFF). This article presents a comparison of other existing data fusion architectures - Centralised, Cascaded, Federated, and Distributed with our MLFFA which shows improvement with respect to the existing architectures in term of queuing delay.","PeriodicalId":137916,"journal":{"name":"2011 International Conference on Recent Trends in Information Systems","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124959635","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":"Thinned concentric circular array antenna synthesis using Particle Swarm Optimization with Constriction Factor and Inertia Weight Approach","authors":"D. Mandal, R. Kar, S. Ghoshal","doi":"10.1109/ReTIS.2011.6146844","DOIUrl":"https://doi.org/10.1109/ReTIS.2011.6146844","url":null,"abstract":"Circular antenna array has gained immense popularity in the field of communications. It has been proved to be a better alternative over other types of antenna array configurations due to its all-azimuth scan capability, and a beam pattern which can be kept invariant. This paper is basically concerned with the thinning of a large multiple concentric circular ring arrays of uniformly excited isotropic antennas based on Particle Swarm Optimization with Constriction Factor and Inertia Weight Approach (PSOCFIWA) method. In this paper a 9 ringed Concentric Circular Antenna Array (CCAA) with central element feeding is considered. The computational results show that the number of antenna array elements can be brought down from 279 to 135 with the simultaneous reduction in Side Lobe Level (SLL) of −20.56 dB with a fixed half power beamwidth.","PeriodicalId":137916,"journal":{"name":"2011 International Conference on Recent Trends in Information Systems","volume":"174 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123473265","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":"On the implementation of QIM FPGA hardware","authors":"A. Basu, Abhik Roy, T. Das, S. Sarkar","doi":"10.1109/ReTIS.2011.6146883","DOIUrl":"https://doi.org/10.1109/ReTIS.2011.6146883","url":null,"abstract":"In this paper, we propose the FPGA implementation of a watermarking algorithm in the spatial domain. The paper put emphasis on Quantization Index Modulation based watermarking approach using dither sequences. The cost-effective data embedding algorithm can conceal watermark into original cover image coming from a sensor more rapidly than software implementation and the embedded image is effortlessly transmitted to PC by using proper interface. The obtained results for the algorithm and FPGA implementation are presented and discussed.","PeriodicalId":137916,"journal":{"name":"2011 International Conference on Recent Trends in Information Systems","volume":"28 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114113481","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":"Overview of automatic Indian music information recognition, classification and retrieval systems","authors":"Trisiladevi C. Nagavi, Nagappa U. Bhajantri","doi":"10.1109/ReTIS.2011.6146850","DOIUrl":"https://doi.org/10.1109/ReTIS.2011.6146850","url":null,"abstract":"In recent time conventional ways of listening to music, and methods for discovering music, such as radio broadcasts and record stores, are being replaced by personalized ways to hear and learn about music. There is abundant research and experimentation done over Western music. However, moderate amount of work noticed over Indian music and its related fields such as computational musicology and artificial intelligence to the realm of Indian music [1]. On the other hand, Indian music has adequate history and slowly it is becoming an international phenomenon. This has opened a wide opportunity for an Indian music discovery system which can suggest music based either on known artists or on simple descriptive terms. Hence researchers from various domains such as music processing, computer engineering and artificial intelligence etc. are contributing more towards Indian music processing. Eventually Indian music is broadly classified into South Indian Carnatic music and North Indian Hindustani music. Both the systems of music are rich in their own style and Carnatic music is much more complex in the way the notes are arranged and rendered [11]. Apart from these two broader categories, there are various types of Indian music. They are folk, tribal, bhajans or devotional, bhangra, Indi-pop, film songs, fusion and ghazals. This paper presents an overview of previous works on automatic Indian music information recognition, classification and retrieval. Furthermore the comparative study of the recognition, classification and retrieval techniques effectiveness based on various factors is also presented.","PeriodicalId":137916,"journal":{"name":"2011 International Conference on Recent Trends in Information Systems","volume":"175 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133733454","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}