2012 15th International Conference on Computer and Information Technology (ICCIT)最新文献

{"title":"Implementation of an efficient bangla soft keyboard with text-to-image replacement support","authors":"Sk. Imran Hossain, Md. Fahim Chowdhury, Md. Amer Muntaq Ganim, M. S. Sadi","doi":"10.1109/ICCITECHN.2012.6509781","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2012.6509781","url":null,"abstract":"In present world, Bangla is one of the most spoken languages. But, in the arena of electronic devices, tools for Bangla writing are inadequate. Also, there are limitations for typing Bangla faster in an efficient way because of the lack of proper layout. After forty-one years of the liberation war, an optimal and widely accepted Bangla keyboard layout has not yet been obtained. And in present days, smart-phones and tabs are being used profoundly where soft keyboard is the most essential input method. In Bangla soft keyboard, the arrangement of letters should be in such a way that paves the way towards an easy and efficient text input method. Our primary evaluation shows a significant improvement in typing speed, ease of learning and reduction in error rates. Hence we propose an efficient Fixed Bangla Keyboard Layout where Bangla alphabets are mapped phonetically on the standard QWERTY keyboard and a Bangla text-to-image replacement technique for non-Bangla supported smartphones. In this paper we present a soft keyboard implemented on Android platform using this layout with text-to-image conversion support.","PeriodicalId":127060,"journal":{"name":"2012 15th International Conference on Computer and Information Technology (ICCIT)","volume":"96 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120882153","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 and optimization of a low cost multi band microstrip patch antenna for K-band, Ku-band and X-band applications","authors":"M. A. Motin, Md. Imran Hasan, Md. Asaduz-Zaman","doi":"10.1109/ICCITECHN.2012.6509750","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2012.6509750","url":null,"abstract":"The main motto of this paper is to design the effective shape of a microstrip patch antenna which can provide lower return losses, better gain and performance for K-band (18 GHz to 26 GHz), Ku-band (12 GHz to 18 GHz) and X-band (2 GHz to 12 GHz) applications. Attempts have been made to optimize the antenna performance by using a single slot in different position in patch, by increasing the number of slots in vertical and horizontal direction and by using array technique. The simulation is performed by using GEMS simulator which is commercially available antenna simulator. The antenna is designed by using Taconic TLY-5 dielectric substrate with permittivity □r =2.2 and height, h=1.588 mm. Without using array technique we have got the return losses in the range of −20 db to −25 db at the frequencies around 19.5 GHz. The series feed array offers −13db return loss around 21GHz, −17.5 db return loss around 16 GHz and −7.25 db return loss around 11.5 GHz. Therefore, this antenna is suitable for K-band, Ku-band and X-band applications.","PeriodicalId":127060,"journal":{"name":"2012 15th International Conference on Computer and Information Technology (ICCIT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115559059","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":"Recognition of hand gesture using hidden Markov model","authors":"Khan Mohammad Irteza, Sheikh Mohammad Masudul Ahsan, Razib Chandra Deb","doi":"10.1109/ICCITECHN.2012.6509747","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2012.6509747","url":null,"abstract":"In this paper we proposed a recognition system for hand gesture in 3D environment by using only a single camera. For calculating the relative motion towards the camera, generally a depth sensing device is needed. In order to remove that, we proposed an approach of using the change of the area of the hand in input image. Using skin color; we detect the hand from the input image sequences and then we process the data for feature extraction. Three features are proposed for effectively recognize the gesture by our system. These are orientation, area and angle of the palm. As we proposed our system for dynamic gesture, Hidden Markov Model is utilized to recognize the gesture. In our lab environment our proposed system shows very promising result and we were able to achieve about 80.67% recognition rate on average. The system that we proposed will not only help to recognize the gesture of hand accurately but also lessen the cost for implementing this kind of system because of using minimal number of hardware.","PeriodicalId":127060,"journal":{"name":"2012 15th International Conference on Computer and Information Technology (ICCIT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124505773","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 optimal resource distribution method for arsenic mitigation in Bangladesh","authors":"M. M. Elahi, Muhammad Amin, Md. R. Miah","doi":"10.1109/ICCITECHN.2012.6509792","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2012.6509792","url":null,"abstract":"The discovery of arsenic contamination of groundwater in many nations including Bangladesh shows that this is a global problem. Because of the delayed health effects, poor reporting, and low levels of awareness in some communities, the extent of the adverse health problems caused by arsenic in drinking-water is at alarming level in Bangladesh. Also, allocating resources such as tube wells efficiently and effectively to mitigate arsenic hazard is a challenging task in Bangladesh. To allocate resources based on different arsenic hazard parameters, we have developed a Decision Support System that enables the user to observe the effect of allocation policy both in tabular and spatial format using statistical models. We have also developed an algorithm for optimal allocation of resources. Finally, we have analyzed and demonstrated the efficacy of our algorithm graphically.","PeriodicalId":127060,"journal":{"name":"2012 15th International Conference on Computer and Information Technology (ICCIT)","volume":"55 80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124775226","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":"Multiband low profile Modified Inverted-FL strip antenna for 5.2/5.8 GHz WLAN and 5.5 GHz WiMAX applications in laptop computer","authors":"Farzana Khanam, S. Mitra, Md. Selim Hossain, D. Karmokar","doi":"10.1109/ICCITECHN.2012.6509729","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2012.6509729","url":null,"abstract":"This paper contains a multiband low profile Modified Inverted-FL (IFL) strip antenna for 5.2/5.8 GHz WLAN and 5.5 GHz WiMAX operations in a laptop computer. The simulation results are analyzed by means of Numerical Electromagnetic Code-2 (4NEC2) software. This antenna covers −10 dB return loss bandwidth of 900 MHz (5150 MHz ∼6050 MHz). The antenna provides very high peak gains with lower gain variation in its operating bands. The antenna has suitable omnidirectional radiation characteristics. The dimension of the antenna is 16×18.5 mm2, which is very compact in size. So, this low profile antenna is promising to be embedded within the different portable devices employing WiMAX and WLAN applications.","PeriodicalId":127060,"journal":{"name":"2012 15th International Conference on Computer and Information Technology (ICCIT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126155789","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":"Scalability and performance analysis of CRUD matrix based fragmentation technique for distributed database","authors":"S. I. Khan, A. S. M. L. Hoque","doi":"10.1109/ICCITECHN.2012.6509702","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2012.6509702","url":null,"abstract":"Distributed processing is an efficient way to improve performance of a database management system significantly. Distribution of data involves fragmentation, replication and allocation process. Previous research works provided fragmentation solution based on empirical data which are not applicable at the initial stage of a distributed database. In this paper we have presented a fragmentation technique that can be applied at the initial stage when no experimental data are present as well as in later stages of a distributed database system for partitioning the relations. Scalability of our proposed technique also investigated for different situation those may arise in practical cases of a distributed database. Experimental results show that our technique can solve initial fragmentation problem of distributed database system properly also compete with other non initial fragmentation techniques quite good in later stages.","PeriodicalId":127060,"journal":{"name":"2012 15th International Conference on Computer and Information Technology (ICCIT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123680645","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":"Pattern classification of deep brain local field potentials for brain computer interfaces","authors":"K. Mamun, M. N. Huda, M. Mace, M. Lutman, J. Stein, X. Liu, T. Aziz, R. Vaidyanathan, S. Wang","doi":"10.1109/ICCITECHN.2012.6509740","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2012.6509740","url":null,"abstract":"The trend of current brain computer interfaces (BCI) seek to establish bi-directional communication with the brain, for instance, recovering motor functions by externally controlling devices and directly stimulating the brain. This will greatly assist paralyzed individuals through bypassing the damaged brain region. The key process of this communication interface is to decode movements from neural signals and encode information into neural activity. The majority of decoding or pattern classification studies have focused on cortical areas for BCIs, but deep brain structures have also been involved in motor control. The subthalamic nucleus (STN) in the basal ganglia is involved in the preparation, execution and imagining of movements, and may be an alternative source for driving BCIs. This study therefore aimed to classify patterns of deep brain local field potentials (LFPs) related to execution of visually cued movements. LFPs were recorded bilaterally from the STN through deep brain stimulation electrodes implanted in patients with Parkinson's disease. The frequency dependent components of the LFPs were extracted using the wavelet packet transform. In each frequency component, signal features were extracted using an alternative approach called neural synchronization by analyzing Granger causality between the STN. Based on these extracted features, a new feature selection strategy, namely weighted sequential feature selection (WSFS) was developed to efficiently select the optimal feature subset. A support vector machine (SVM) classifier was implemented alongside this novel feature extraction and selection strategy, and evaluated using a cross-validation procedure. Using this optimised feature subset, average correct pattern classification accuracy of movement (left or right) reached 76.0±3.1%. The results obtained in this study are encouraging and suggest that the neural activity in the deep neural circuit (basal ganglia) can be used for controlling BCIs.","PeriodicalId":127060,"journal":{"name":"2012 15th International Conference on Computer and Information Technology (ICCIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125810345","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":"Local Gabor directional pattern for facial expression recognition","authors":"S. Z. Ishraque, A. BanNa, O. Chae","doi":"10.1109/ICCITECHN.2012.6509762","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2012.6509762","url":null,"abstract":"Humans display emotions through facial expressions. Detecting and recognizing these expressions comes naturally to us. But recognizing expressions is not straight forward for machines. In recent years a lot of literatures surged concerning automatic facial expression recognition. While some of these efforts have generated very good results, room for improvement still remains. There are several ways facial expression recognition can be performed. In this work we are proposing an appearance based method for extracting a new type of image descriptor based on Gabor wavelet which can be used for creating a feature vector of an image. To achieve this goal we applied Gabor filter over the image and recorded the edge response at each pixel. For each pixel we take several responses on several orientations. Finally we encode the responses and create a feature vector from the generated codes. We also showed experimental results on standard database for facial expression recognition using our proposed method.","PeriodicalId":127060,"journal":{"name":"2012 15th International Conference on Computer and Information Technology (ICCIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130555917","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":"Stock market prediction model using TPWS and association rules mining","authors":"Sheikh S. Abdullah, M. Rahaman","doi":"10.1109/ICCITECHN.2012.6509756","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2012.6509756","url":null,"abstract":"The objective of this research is to classify or forecast the stock market from the general investor's point of view. There are three parts in this research. In the first part we performed a survey on most of the well known data mining indicators, implemented the algorithms and calculated the accuracy by applying them on historical data. Then we presented an indicator algorithm which has higher accuracy compare to existing algorithms and it also provides a decision point that helps the investor to understand the significance of the result of the indicator. Finally we applied association rules mining to group the selected (based on precision) indicator algorithms to come up with a model to increase the overall accuracy. However motivating fact is we achieved far better results from our suggested model than other comparable indicator algorithms or strategy. For our research we used the data of Dhaka Stock Exchange (DSE), capital market of Bangladesh.","PeriodicalId":127060,"journal":{"name":"2012 15th International Conference on Computer and Information Technology (ICCIT)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130921374","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":"Novel approaches for detecting fabric fault using Artificial Neural Network with K-fold validation","authors":"A. Andalib, A. Salekin, Mohammad Raihanul Islam, Md. Abdulla-Al-Shami","doi":"10.1109/ICCITECHN.2012.6509767","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2012.6509767","url":null,"abstract":"In this paper we have proposed a novel method to detect the defects in woven fabric based on the abrupt changes in the intensity of fabric image due to the defects and have constructed a classification model to properly identify the defects. We have also improved an existing method based on histogram processing for the classifier. In classification model we have implemented Artificial Neural Network (ANN). Both of our newly proposed method and improved technique have outperformed the existing methods. We have implemented K-validation to estimate the performance of our classification model. Additionally we have analyzed the performance of our classification model for different experimental parameters. Finally we have presented a comparative analysis of these techniques.","PeriodicalId":127060,"journal":{"name":"2012 15th International Conference on Computer and Information Technology (ICCIT)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123650255","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}