A. Arulampalam, G. Ramtharan, J. Ekanayake, A. Tennakoon, S. Abeyratne, N. Jenkins
{"title":"Fault Ride Through operation of a DFIG wind farm connected through VSC HVDC","authors":"A. Arulampalam, G. Ramtharan, J. Ekanayake, A. Tennakoon, S. Abeyratne, N. Jenkins","doi":"10.1109/ICIINFS.2010.5578650","DOIUrl":"https://doi.org/10.1109/ICIINFS.2010.5578650","url":null,"abstract":"The electromechanical transients during a deloading of a DFIG turbine and the Fault Ride Through (FRT) capability of a DFIG wind farm connected through HVDC transmission lines are discussed. The electromechanical oscillations during a deloading operation of a DFIG wind turbine generator are simulated using BLADED software. Then power reduction control during a fault was achieved by reducing the power from the wind farm as a whole and by deloading the individual wind generator. A new power blocking technique applied at the offshore converter station was used to reduce the wind farm power output. Simultaneous control of the wind farm and wind turbine power outputs enabled a smooth power reduction during the fault.","PeriodicalId":106953,"journal":{"name":"2010 5th International Conference on Industrial and Information Systems","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115510038","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":"Design of broadband patch antennas using genetic algorithm optimization","authors":"J. Jayasinghe, D. Uduwawala","doi":"10.1109/ICIINFS.2010.5578733","DOIUrl":"https://doi.org/10.1109/ICIINFS.2010.5578733","url":null,"abstract":"Patch antennas are cheap, simple, robust, inexpensive and compatible with MMIC designs. But the narrow bandwidth and low efficiency are the major drawbacks. Nowadays, the patch antenna is a widely used antenna type in many applications such as cellular phones, pagers, satellite communication and missiles. In this research, Genetic Algorithm optimization (GAO) method is used to design the shape of the patch, thickness of the dielectric substrate and the permittivity of the substrate in order to optimize the bandwidth performance and gain of center feed patch antennas. It is found that thin broadband fragmented single probe feed patch antennas with fractional bandwidths up to 51% can be easily designed using GAO.","PeriodicalId":106953,"journal":{"name":"2010 5th International Conference on Industrial and Information Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131037393","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":"Power flow analysis incorporating firing angle model based TCSC","authors":"S. Sreejith, S. P. Simon, M. Selvan","doi":"10.1109/ICIINFS.2010.5578654","DOIUrl":"https://doi.org/10.1109/ICIINFS.2010.5578654","url":null,"abstract":"This paper investigates power flow analysis incorporating a firing angle model based TCSC. Here the bus voltages, angles and the power transferred are calculated using Newton Raphson power flow method. The firing angle model of TCSC provides a firing angle based nodal admittance matrix which is incorporated in the existing load flow algorithm. This model takes account for the full loop current present in the TCSC under either partial or full conduction state and makes it more efficient than its counterpart variable impedance model. A comparison is carried out for both firing angle model and variable impedance model which is validated on IEEE30 bus and IEEE118 bus test systems.","PeriodicalId":106953,"journal":{"name":"2010 5th International Conference on Industrial and Information Systems","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114494646","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":"Support vector regression based simultaneous identication of multiple NARMA plants","authors":"K. George, P. Harshangi, J. S. Bhat","doi":"10.1109/ICIINFS.2010.5578677","DOIUrl":"https://doi.org/10.1109/ICIINFS.2010.5578677","url":null,"abstract":"The simultaneous identication of multiple nonlinear plants using support vector regressions, and the methodology of multiple models, switching, and tuning, is proposed in this paper. Models are randomly initialised and, at each instant, they are assigned to a specic nonlinear plant, and adapted toward it. Accordingly, the models self-organise themselves in a manner so that, at any given instant of time, a plant is tracked by only one model. Two model assignment strategies are considered in this paper. The choice of the assignment strategy and the performance criteria play an important role in the model assignment, and hence the convergence.","PeriodicalId":106953,"journal":{"name":"2010 5th International Conference on Industrial and Information Systems","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114756039","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":"Integral sliding mode controller for trajectory tracking control of Stewart platform manipulator","authors":"D. Negash, R. Mitra","doi":"10.1109/ICIINFS.2010.5578628","DOIUrl":"https://doi.org/10.1109/ICIINFS.2010.5578628","url":null,"abstract":"Conventional sliding mode controllers have been successfully applied to control various types systems including the Stewart platform manipulator. But chattering, lack of robustness in the reaching phase and sensitivity to unmatched uncertainty are the basic problems which delayed their practical implementations. To avoid the non robust reaching phase to compensate unmatched uncertainties, integral sliding mode controllers have been proposed but only SISO system examples have been tested. Hence in this paper, MIMO implementation of integral sliding mode controller is tested using a 6 DOF Stewart platform manipulator. The integral sliding mode controller is implemented using MATLAB simulation and the result is compared with PD and conventional sliding mode controller. It was found that the integral sliding mode controller performs better in avoiding uncertainties due to load variation and actuator friction.","PeriodicalId":106953,"journal":{"name":"2010 5th International Conference on Industrial and Information Systems","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117339923","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":"Low power, high precision and reduced size CMOS Comparator for high speed ADC design","authors":"A. Nag, K. L. Baishnab, F. Talukdar","doi":"10.1109/ICIINFS.2010.5578706","DOIUrl":"https://doi.org/10.1109/ICIINFS.2010.5578706","url":null,"abstract":"In this paper a low power CMOS Comparator is proposed which is very well capable of distinguishing DC voltage difference of around even 0.2 mV. By providing excitory feedback, the proposed compact circuit is made to successfully avoid the need of a post amplifier or any other cascading stages. The circuit can also operate at a wide range of power supply starting from 1.1 V with a clock frequency of 200MHz. Some trade off between precision and resolution are vividly discussed to get a better understanding of the circuit behavior. The simulated results are shown which are done in CADANCE gpdk-90 technology.","PeriodicalId":106953,"journal":{"name":"2010 5th International Conference on Industrial and Information Systems","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129063607","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":"Recent trends in software and hardware for GPGPU computing: A comprehensive survey","authors":"B. Neelima, Prakash S. Raghavendra","doi":"10.1109/ICIINFS.2010.5578685","DOIUrl":"https://doi.org/10.1109/ICIINFS.2010.5578685","url":null,"abstract":"With the growth of Graphics Processor (GPU) programmability and processing power, graphics hardware has become a compelling platform for computationally demanding tasks in a wide variety of application domains. This state of art paper gives the technical motivations that underlie GPU computing and describe the hardware and software developments that have led to the recent interest in this field.","PeriodicalId":106953,"journal":{"name":"2010 5th International Conference on Industrial and Information Systems","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126319167","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":"Improved tolerance based selective arithmetic mean filter for detection and removal of impulse noise","authors":"S. Deivalakshmi, P. Palanisamy","doi":"10.1109/ICIINFS.2010.5578687","DOIUrl":"https://doi.org/10.1109/ICIINFS.2010.5578687","url":null,"abstract":"A superior methodology based on Improved tolerance based selective arithmetic mean filtering technique for the detection and removal of Salt and Pepper Noise on corrupted images is presented in this paper. The function of the proposed filtering technique is to detect and remove the noisy pixels and restore the noise free information. Many linear and non linear filtering techniques have been proposed earlier to remove impulse noise; however the removal of impulse noise is often accomplished at the expense of blurred and distorted features of edges. Therefore it is necessary to preserve the edges and fine details during filtering. Computer simulation is carried out to demonstrate the performance of the proposed techniques and the results show that the proposed Level-2 Improved tolerance based selective arithmetic mean filtering technique (Level-2 ITSAMFT) is superior over the Tolerance based selective arithmetic mean filtering technique (TSAMFT) in maintaining high signal to noise ratio (PSNR), and correlation (COR).","PeriodicalId":106953,"journal":{"name":"2010 5th International Conference on Industrial and Information Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130871546","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":"Gender classification using Radon and Wavelet Transforms","authors":"P. Rai, P. Khanna","doi":"10.1109/ICIINFS.2010.5578661","DOIUrl":"https://doi.org/10.1109/ICIINFS.2010.5578661","url":null,"abstract":"In this paper a new approach is proposed to recognize gender from the face image. This approach will detect the face from the given image. Radon and Wavelet Transforms are combined to extract key facial features for each face images of male and female. These features will be used to classify the face images of each pattern. We have compared the DCT extracted face feature with our face feature extracted by Radon and Wavelet Transforms. The experimental result shows that the proposed approach (combination of face detector, radon and wavelet transforms, KNN classifier) achieves better performance.","PeriodicalId":106953,"journal":{"name":"2010 5th International Conference on Industrial and Information Systems","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131997899","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. Gopakumar, N. Subbareddy, K. Makkithaya, U. Dinesh Acharya
{"title":"Zone-based structural feature extraction for script identification from Indian documents","authors":"R. Gopakumar, N. Subbareddy, K. Makkithaya, U. Dinesh Acharya","doi":"10.1109/ICIINFS.2010.5578668","DOIUrl":"https://doi.org/10.1109/ICIINFS.2010.5578668","url":null,"abstract":"Automatic identification of a script in a given document image facilitates many important applications such as automatic archiving of multilingual documents, searching online archives of document images and for the selection of script specific OCR in a multilingual environment. In this paper a Zone-based Structural feature extraction algorithm scheme towards the recognition of South-Indian scripts along with English and Hindi is proposed. The document images are segmented into lines and the line image is divided into different zones and the structural features are extracted. A total of 37 features were extracted in the first level and then reduced to an optimal number of features using wrapper and filter selection approaches. The K-nearest neighbor and the support vector machine classifiers are used for classification and recognition purpose. A classification accuracy of 100% is achieved on the optimal feature set.","PeriodicalId":106953,"journal":{"name":"2010 5th International Conference on Industrial and Information Systems","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132306905","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}