Pub Date : 2016-12-01DOI: 10.1109/ICCITECHN.2016.7860173
A. Alshammari, Saleh Albdran, Md Atiqur Rahman Ahad, M. Matin
Large scale antenna arrays technology has the potential of bringing many advantages to future wireless systems. Energy and spectral efficiency are going to be the most important features. Hence, accurate estimate of channel state information (CSI) makes these advantages achievable. This paper investigates the effects of angular spread on the accuracy of channel estimation for massive multiple input multiple output (MIMO) wireless communication systems. The model we consider consists of user equipment (UE) and a base station with large antenna array. Linear minimum mean square error (LMMSE) is used to estimate the uplink channel of a massive MIMO system using a pilot signal. It is shown that higher spatial correlation (SC) positively affects the accuracy of channel estimation when the signal to noise ratio is kept constant.
{"title":"Impact of angular spread on massive MIMO channel estimation","authors":"A. Alshammari, Saleh Albdran, Md Atiqur Rahman Ahad, M. Matin","doi":"10.1109/ICCITECHN.2016.7860173","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2016.7860173","url":null,"abstract":"Large scale antenna arrays technology has the potential of bringing many advantages to future wireless systems. Energy and spectral efficiency are going to be the most important features. Hence, accurate estimate of channel state information (CSI) makes these advantages achievable. This paper investigates the effects of angular spread on the accuracy of channel estimation for massive multiple input multiple output (MIMO) wireless communication systems. The model we consider consists of user equipment (UE) and a base station with large antenna array. Linear minimum mean square error (LMMSE) is used to estimate the uplink channel of a massive MIMO system using a pilot signal. It is shown that higher spatial correlation (SC) positively affects the accuracy of channel estimation when the signal to noise ratio is kept constant.","PeriodicalId":287635,"journal":{"name":"2016 19th International Conference on Computer and Information Technology (ICCIT)","volume":"301 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115139204","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}
Emerging trend of recent online marketing has lead researchers to discover a way for the e-commerce websites to support its large number of users in the best possible manner. Meeting up with user's satisfaction is a difficult task. This paper focuses on how user-modeling and recommendation by mouse-tracking can be used for construction of an intelligent e-commerce website that can identify and fulfill all the needs of users.
{"title":"User-modeling and recommendation based on mouse-tracking for e-commerce websites","authors":"Md. Tanjim-Al-Akib, Lutfullahil Kabir Ashik, Hosne-Al-Walid, Krishanu Chowdhury","doi":"10.1109/ICCITECHN.2016.7860252","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2016.7860252","url":null,"abstract":"Emerging trend of recent online marketing has lead researchers to discover a way for the e-commerce websites to support its large number of users in the best possible manner. Meeting up with user's satisfaction is a difficult task. This paper focuses on how user-modeling and recommendation by mouse-tracking can be used for construction of an intelligent e-commerce website that can identify and fulfill all the needs of users.","PeriodicalId":287635,"journal":{"name":"2016 19th International Conference on Computer and Information Technology (ICCIT)","volume":"305 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115768293","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}
Pub Date : 2016-12-01DOI: 10.1109/ICCITECHN.2016.7860201
Sadat Shahriar, Md. Nazmul Hoq
This paper shows an analysis of Linear Predictive Coding (LPC) coefficient for Vowel-Consonant-Vowel (VCV) sequence in order to determine the temporal transfer function of vocal tract. The Linear Prediction model is a linear combination of the speech sample and the glottal pulse as exciter. The acoustical output of the dynamic system is speech sample. Here, a sequence VCV is analyzed by using LPC coefficient and their mean, standard deviation and skewness. The investigation, focused on the variation of LPC coefficient can be applied successfully for speech recognition and vocal tract dynamics modeling.
{"title":"Evaluation of LPC trajectory for Vowel-Consoant-Vowel sequence","authors":"Sadat Shahriar, Md. Nazmul Hoq","doi":"10.1109/ICCITECHN.2016.7860201","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2016.7860201","url":null,"abstract":"This paper shows an analysis of Linear Predictive Coding (LPC) coefficient for Vowel-Consonant-Vowel (VCV) sequence in order to determine the temporal transfer function of vocal tract. The Linear Prediction model is a linear combination of the speech sample and the glottal pulse as exciter. The acoustical output of the dynamic system is speech sample. Here, a sequence VCV is analyzed by using LPC coefficient and their mean, standard deviation and skewness. The investigation, focused on the variation of LPC coefficient can be applied successfully for speech recognition and vocal tract dynamics modeling.","PeriodicalId":287635,"journal":{"name":"2016 19th International Conference on Computer and Information Technology (ICCIT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125067824","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}
Pub Date : 2016-12-01DOI: 10.1109/ICCITECHN.2016.7860215
Ahmed Iqbal Pritom, Md. Ahadur Rahman Munshi, S. Sabab, Shihabuzzaman Shihab
Breast cancer is a major threat for middle aged women throughout the world and currently this is the second most threatening cause of cancer death in women. But early detection and prevention can significantly reduce the chances of death. An important fact regarding breast cancer prognosis is to optimize the probability of cancer recurrence. This paper aims at finding breast cancer recurrence probability using different data mining techniques. We also provide a noble approach in order to improve the accuracy of those models. Cancer patient's data were collected from Wisconsin dataset of UCI machine learning Repository. This dataset contained total 35 attributes in which we applied Naive Bayes, C4.5 Decision Tree and Support Vector Machine (SVM) classification algorithms and calculated their prediction accuracy. An efficient feature selection algorithm helped us to improve the accuracy of each model by reducing some lower ranked attributes. Not only the contributions of these attributes are very less, but their addition also misguides the classification algorithms. After a careful selection of upper ranked attributes we found a much improved accuracy rate for all three algorithms.
{"title":"Predicting breast cancer recurrence using effective classification and feature selection technique","authors":"Ahmed Iqbal Pritom, Md. Ahadur Rahman Munshi, S. Sabab, Shihabuzzaman Shihab","doi":"10.1109/ICCITECHN.2016.7860215","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2016.7860215","url":null,"abstract":"Breast cancer is a major threat for middle aged women throughout the world and currently this is the second most threatening cause of cancer death in women. But early detection and prevention can significantly reduce the chances of death. An important fact regarding breast cancer prognosis is to optimize the probability of cancer recurrence. This paper aims at finding breast cancer recurrence probability using different data mining techniques. We also provide a noble approach in order to improve the accuracy of those models. Cancer patient's data were collected from Wisconsin dataset of UCI machine learning Repository. This dataset contained total 35 attributes in which we applied Naive Bayes, C4.5 Decision Tree and Support Vector Machine (SVM) classification algorithms and calculated their prediction accuracy. An efficient feature selection algorithm helped us to improve the accuracy of each model by reducing some lower ranked attributes. Not only the contributions of these attributes are very less, but their addition also misguides the classification algorithms. After a careful selection of upper ranked attributes we found a much improved accuracy rate for all three algorithms.","PeriodicalId":287635,"journal":{"name":"2016 19th International Conference on Computer and Information Technology (ICCIT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128420240","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}
Pub Date : 2016-12-01DOI: 10.1109/ICCITECHN.2016.7860192
M. Khalid, Md. Iqbal Hossan
The integration of video conferencing systems (VCS) have increased significantly in the classrooms and administrative practices of higher education institutions. The VCSs discussed in the existing literature can be broadly categorized as desktop systems (e.g. Scopia), WebRTC or Real-Time Communications (e.g. Google Hangout, Adobe Connect, Cisco WebEx, and appear.in), and dedicated (e.g. Polycom). There is a lack of empirical study on usability evaluation of the interactive systems in educational contexts. This study identifies usability errors and measures user satisfaction of a dedicated VCS in a Danish university's classrooms. This work contributes (1) to the methodological approach that uses mixed methods to collect and analyze data from users as part of a summative evaluation, (2) to demonstrate the methods applied by independent usability evaluator using field study approach, (3) to the usability evaluation literature dealing with empirical evaluation methods. PACT (people, activity, context, and technology) analysis of participant observation and interview data shows a lack of user guide, training, IT support, and vendor coordination. Software usability measurement inventory (SUMI) analysis of 12 user responses results below average score. Post-study system test by the vendor has identified cabling and setup error. Applying SUMI followed by qualitative methods might enrich evaluation outcomes.
{"title":"Usability evaluation of a video conferencing system in a university's classroom","authors":"M. Khalid, Md. Iqbal Hossan","doi":"10.1109/ICCITECHN.2016.7860192","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2016.7860192","url":null,"abstract":"The integration of video conferencing systems (VCS) have increased significantly in the classrooms and administrative practices of higher education institutions. The VCSs discussed in the existing literature can be broadly categorized as desktop systems (e.g. Scopia), WebRTC or Real-Time Communications (e.g. Google Hangout, Adobe Connect, Cisco WebEx, and appear.in), and dedicated (e.g. Polycom). There is a lack of empirical study on usability evaluation of the interactive systems in educational contexts. This study identifies usability errors and measures user satisfaction of a dedicated VCS in a Danish university's classrooms. This work contributes (1) to the methodological approach that uses mixed methods to collect and analyze data from users as part of a summative evaluation, (2) to demonstrate the methods applied by independent usability evaluator using field study approach, (3) to the usability evaluation literature dealing with empirical evaluation methods. PACT (people, activity, context, and technology) analysis of participant observation and interview data shows a lack of user guide, training, IT support, and vendor coordination. Software usability measurement inventory (SUMI) analysis of 12 user responses results below average score. Post-study system test by the vendor has identified cabling and setup error. Applying SUMI followed by qualitative methods might enrich evaluation outcomes.","PeriodicalId":287635,"journal":{"name":"2016 19th International Conference on Computer and Information Technology (ICCIT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129131484","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}
Pub Date : 2016-12-01DOI: 10.1109/ICCITECHN.2016.7860160
Md. Zahirul Islam, M. S. Alam, Shafika Showkat Moni
Wireless Body Area Network (WBAN) is a time critical remote network where various physiological information of patients are sent through satisfying stringent QoS requirements. However, performance of WBAN may degrade severely due to the coexistence problem, a well known phenomenon where different wireless channel access technologies share the overlapped frequency bands. In this paper, the coexistence problem of WBAN is addressed in terms of mutual interference mitigation and cross interference mitigation. A fuzzy logic based algorithm is proposed to detect the mutual interference and to mitigate it. Furthermore, a channel hopping technique is investigated to mitigate the cross interference problem. Simulation results show that our proposed techniques effectively mitigate the coexistence problem in WBAN scenarios.
无线体域网络(Wireless Body Area Network, WBAN)是一种时间紧迫的远程网络，通过满足严格的QoS要求来发送患者的各种生理信息。然而，由于共存问题，WBAN的性能可能会严重下降，共存问题是一种众所周知的现象，即不同的无线信道接入技术共用重叠的频段。本文从互干扰抑制和交叉干扰抑制两方面解决了无线宽带网络的共存问题。提出了一种基于模糊逻辑的互干扰检测和抑制算法。此外，还研究了一种信道跳变技术来缓解交叉干扰问题。仿真结果表明，我们提出的技术有效地缓解了WBAN场景下的共存问题。
{"title":"Efficient techniques for improving coexistence problem in wireless body area network","authors":"Md. Zahirul Islam, M. S. Alam, Shafika Showkat Moni","doi":"10.1109/ICCITECHN.2016.7860160","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2016.7860160","url":null,"abstract":"Wireless Body Area Network (WBAN) is a time critical remote network where various physiological information of patients are sent through satisfying stringent QoS requirements. However, performance of WBAN may degrade severely due to the coexistence problem, a well known phenomenon where different wireless channel access technologies share the overlapped frequency bands. In this paper, the coexistence problem of WBAN is addressed in terms of mutual interference mitigation and cross interference mitigation. A fuzzy logic based algorithm is proposed to detect the mutual interference and to mitigate it. Furthermore, a channel hopping technique is investigated to mitigate the cross interference problem. Simulation results show that our proposed techniques effectively mitigate the coexistence problem in WBAN scenarios.","PeriodicalId":287635,"journal":{"name":"2016 19th International Conference on Computer and Information Technology (ICCIT)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123898318","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}
Pub Date : 2016-12-01DOI: 10.1109/ICCITECHN.2016.7860185
Syed Hassaan Ahmed, Sajjad Hussain, S. Rehman, Syed Kashif Abbas, S. A. Sheikh
The Duffing oscillator is one of the prototypes of nonlinear dynamics. Jump phenomenon can be induced by either varying the amplitude or the frequency of excitation. A comprehensive study of jump phenomenon of the duffing oscillator in two parameters (amplitude and frequency of excitation) is performed here. The analysis is based on a method of multiple time scale(MMS). In this research the stability conditions as well as unstable regimes on the frequency response curve are determined. The research also focuses on the stability of the dynamic motion of FDO. The amplitude response displays hysteresis in the frequency domain and jump phenomenon is observed in the case of primary resonance of duffing oscillator. The response of a vander Pol oscillator with sinusoidally varying amplitude is also discussed for non linear resonance. Here a method is devised to control the amplitude of oscillations. Hence Multiple harmonics are obtained as well as spring behaviour is also controlled by tweaking the cubic term of forced duffing oscillator.
{"title":"Stability analysis of forced duffing oscillator (FDO)","authors":"Syed Hassaan Ahmed, Sajjad Hussain, S. Rehman, Syed Kashif Abbas, S. A. Sheikh","doi":"10.1109/ICCITECHN.2016.7860185","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2016.7860185","url":null,"abstract":"The Duffing oscillator is one of the prototypes of nonlinear dynamics. Jump phenomenon can be induced by either varying the amplitude or the frequency of excitation. A comprehensive study of jump phenomenon of the duffing oscillator in two parameters (amplitude and frequency of excitation) is performed here. The analysis is based on a method of multiple time scale(MMS). In this research the stability conditions as well as unstable regimes on the frequency response curve are determined. The research also focuses on the stability of the dynamic motion of FDO. The amplitude response displays hysteresis in the frequency domain and jump phenomenon is observed in the case of primary resonance of duffing oscillator. The response of a vander Pol oscillator with sinusoidally varying amplitude is also discussed for non linear resonance. Here a method is devised to control the amplitude of oscillations. Hence Multiple harmonics are obtained as well as spring behaviour is also controlled by tweaking the cubic term of forced duffing oscillator.","PeriodicalId":287635,"journal":{"name":"2016 19th International Conference on Computer and Information Technology (ICCIT)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120892033","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}
Pub Date : 2016-12-01DOI: 10.1109/ICCITECHN.2016.7860196
Md. Asadur Rahman, Mohiudding Ahmad
This study investigates left hand (LH) and right hand (RH) movements related events with respect to resting state (RS) on the basis of hemodynamic response of dorsolateral prefrontal cortex (DLPFC). The signals of hemodynamic responses are acquired by 16 channels functional near infrared (fNIR) spectroscopy. From these multiple channel data, it is difficult to classify the events. To solve this difficulty, statistically the most effective channels are identified. For identifying most effective channels, at first the raw fNIR signal is filtered and separated into three classes (RS, LH, and RH movements) based on the events. The most effective channels are found out by t-test hypothesis and effect size (ES) statistics. Furthermore, for classifying purpose, the time domain features are extracted from oxygenated hemoglobin (HbO2) signal of the most effective channels. From these features, artificial neural network (ANN) is used to classify the events. The classifying accuracy is achieved 79.5% in average. This study is helpful to estimate the voluntary movement from frontal cortex neural activity.
{"title":"Movement related events classification from functional near infrared spectroscopic signal","authors":"Md. Asadur Rahman, Mohiudding Ahmad","doi":"10.1109/ICCITECHN.2016.7860196","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2016.7860196","url":null,"abstract":"This study investigates left hand (LH) and right hand (RH) movements related events with respect to resting state (RS) on the basis of hemodynamic response of dorsolateral prefrontal cortex (DLPFC). The signals of hemodynamic responses are acquired by 16 channels functional near infrared (fNIR) spectroscopy. From these multiple channel data, it is difficult to classify the events. To solve this difficulty, statistically the most effective channels are identified. For identifying most effective channels, at first the raw fNIR signal is filtered and separated into three classes (RS, LH, and RH movements) based on the events. The most effective channels are found out by t-test hypothesis and effect size (ES) statistics. Furthermore, for classifying purpose, the time domain features are extracted from oxygenated hemoglobin (HbO2) signal of the most effective channels. From these features, artificial neural network (ANN) is used to classify the events. The classifying accuracy is achieved 79.5% in average. This study is helpful to estimate the voluntary movement from frontal cortex neural activity.","PeriodicalId":287635,"journal":{"name":"2016 19th International Conference on Computer and Information Technology (ICCIT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122259930","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}
Pub Date : 2016-12-01DOI: 10.1109/ICCITECHN.2016.7860183
P. Benner, J. Saak, Mohammad Monir Uddin
Large sparse second order index-1 descriptor systems arise in various disciplines of science and engineering, such as constraint mechanics or multibody dynamics, mechatronics (where mechanical and electrical elements are coupled), but also RLC circuit design. Simulation, controller design and design optimization are only some applications of such models. Either of these tasks, just like any other many-query situation becomes unfeasible when the system is high dimensional. This paper discusses an algorithm to obtain a reduced state space model of a large sparse second order index-1 system using an interpolatory projection method based on the iterative rational Krylov algorithm (IRKA). In each iteration of this algorithm, we need to solve a number of linear systems. The main contribution of this paper is to solve these linear systems by exploiting the sparsity of the original model, which reduces the computational cost drastically. The algorithm is applied to a micro-mechanical piezo-actuated structural FEM model of a certain building block of a machine tool. Numerical experiments with a complex 3d model of an adaptive spindle support (a piezo-mechanical multiphysics system) show the effectivity and efficiency of the techniques.
{"title":"Reduced-order modeling of index-1 vibrational systems using interpolatory projections","authors":"P. Benner, J. Saak, Mohammad Monir Uddin","doi":"10.1109/ICCITECHN.2016.7860183","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2016.7860183","url":null,"abstract":"Large sparse second order index-1 descriptor systems arise in various disciplines of science and engineering, such as constraint mechanics or multibody dynamics, mechatronics (where mechanical and electrical elements are coupled), but also RLC circuit design. Simulation, controller design and design optimization are only some applications of such models. Either of these tasks, just like any other many-query situation becomes unfeasible when the system is high dimensional. This paper discusses an algorithm to obtain a reduced state space model of a large sparse second order index-1 system using an interpolatory projection method based on the iterative rational Krylov algorithm (IRKA). In each iteration of this algorithm, we need to solve a number of linear systems. The main contribution of this paper is to solve these linear systems by exploiting the sparsity of the original model, which reduces the computational cost drastically. The algorithm is applied to a micro-mechanical piezo-actuated structural FEM model of a certain building block of a machine tool. Numerical experiments with a complex 3d model of an adaptive spindle support (a piezo-mechanical multiphysics system) show the effectivity and efficiency of the techniques.","PeriodicalId":287635,"journal":{"name":"2016 19th International Conference on Computer and Information Technology (ICCIT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129994899","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}
Pub Date : 2016-12-01DOI: 10.1109/ICCITECHN.2016.7860221
Taufhik Hossain Tonmoy, M. Hanif, Hafiz Abdur Rahman, N. Khandaker, Ishtiaque Hossain
Groundwater contamination by Arsenic is a huge problem in many countries. In a developing country like Bangladesh, with widespread Arsenic contamination and lack of laboratory facilities, usually field detection kits are preferred to detect arsenic in tubewells. However, these kits produce a significant number of false positives/negatives due to human errors in matching the detection test-strip colors to the reference color chart. This paper introduces digital image processing methods and a smartphone application, which allow fast and inexpensive improvement in the test-strip classification of field detection kits. A smartphone captures a photo of the test strip used in the field detection kit, while the application detects the Arsenic level by comparison with reference colors. This automation reduces human errors while matching the colors using the eyes only, by adding an extra layer of cross-checking. Thus, the overall accuracy of the Arsenic detection process is improved.
{"title":"Error reduction in arsenic detection through color spectrum analysis","authors":"Taufhik Hossain Tonmoy, M. Hanif, Hafiz Abdur Rahman, N. Khandaker, Ishtiaque Hossain","doi":"10.1109/ICCITECHN.2016.7860221","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2016.7860221","url":null,"abstract":"Groundwater contamination by Arsenic is a huge problem in many countries. In a developing country like Bangladesh, with widespread Arsenic contamination and lack of laboratory facilities, usually field detection kits are preferred to detect arsenic in tubewells. However, these kits produce a significant number of false positives/negatives due to human errors in matching the detection test-strip colors to the reference color chart. This paper introduces digital image processing methods and a smartphone application, which allow fast and inexpensive improvement in the test-strip classification of field detection kits. A smartphone captures a photo of the test strip used in the field detection kit, while the application detects the Arsenic level by comparison with reference colors. This automation reduces human errors while matching the colors using the eyes only, by adding an extra layer of cross-checking. Thus, the overall accuracy of the Arsenic detection process is improved.","PeriodicalId":287635,"journal":{"name":"2016 19th International Conference on Computer and Information Technology (ICCIT)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134442657","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}
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