{"title":"Detecting Moving Objects from Long-Range Atmospheric Turbulence Degraded Videos","authors":"M. E. Elahi, K. K. Halder","doi":"10.1109/CEEICT.2018.8628082","DOIUrl":"https://doi.org/10.1109/CEEICT.2018.8628082","url":null,"abstract":"This paper presents an improved method to detect moving objects from videos distorted by atmospheric turbulence. The method is based on generating an accurate mask from the changing properties of pixel intensities from frame to frame. The background frame is estimated by calculating the median from a sufficient number of input frames. Three different masks are generated by thresholding the difference image and pixel shiftmap of each input frame with respect to the background. A final mask is then obtained by combining all these three masks, which is more accurate than the individual ones. The performance of the proposed method is compared with that of an existing method by applying them on real-world videos. Results show that the proposed method provides better detection of moving objects than the compared method.","PeriodicalId":417359,"journal":{"name":"2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125328334","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. Habib, Shishir Mallick, Abu Shakil Ahmed, S. S. Alam, A. Ahmad
{"title":"Performance Appraisal of Spectrum Sensing in Cognitive Radio Network","authors":"A. Habib, Shishir Mallick, Abu Shakil Ahmed, S. S. Alam, A. Ahmad","doi":"10.1109/CEEICT.2018.8628132","DOIUrl":"https://doi.org/10.1109/CEEICT.2018.8628132","url":null,"abstract":"Spectrum is a precious resource in wireless communication due to its insufficiency. Cognitive Radio (CR), a wireless communication technique, is introduced to reduce the shortage of spectrum using the licensed band of the Primary User (PU) when it is not in use. Spectrum sensing is a prerequisite for detection of vacant bands in CR technology though fading effect and time-varying disposition impede spectrum hole detection. In this paper, we have presented a comparative analysis among different spectrum sensing approaches such as cooperative sensing by applying four decision fusion rules i.e., AND-rule, OR-rule, majority-rule, and optimal fusion rule as well as non-cooperative approach in terms of probability of detection $({P}_{d})$ and the probability of false alarm (Pf). Moreover, the number of nodes or Secondary Users (SUs) has been varied to observe its contribution to spectrum sensing. The analysis has been carried out under Additive White Gaussian Noise (AWGN), Rayleigh, Rician, and Nakagami channel considering the fading effect. Finally, the optimum configuration for spectrum hole detection has been determined as per the analysis.","PeriodicalId":417359,"journal":{"name":"2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126998469","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}
H. M. Abdul Fattah, Md. Masum Al Masba, K. M. Azharul Hasan
{"title":"Sentiment Clustering By Mahalanobis Distance","authors":"H. M. Abdul Fattah, Md. Masum Al Masba, K. M. Azharul Hasan","doi":"10.1109/CEEICT.2018.8628142","DOIUrl":"https://doi.org/10.1109/CEEICT.2018.8628142","url":null,"abstract":"Sentiment clustering is the computational study of people’s opinions, sentiments, attitudes, and emotions. In this paper, we describe the use of Mahalanobis Distance (MD) to cluster review comments of users. MD is widely used for outlier detection in data mining. We have classified the comments into four clusters namely ’excellent’, ’good’, ’bad’ and ’not recommended’ where the training data has two classifications ’positive’ and ’negative’ only. To use this measure, a Representative Term Document Matrix (RTDM) and Inverse Co-Variance Matrix (C<sup>-1)</sup> has been computed from training data. Using the RTDM and C<sup>-1</sup>, MD has been calculated and clustering thresholds have been fixed based on MD of training data. Using these thresholds, final outcome are determined. We have used the Amazon watch reviews consisting of 62485 reviews, we received good accuracy based on MD based clustering approach. We also applied the approach collecting comments from street people to measure the accuracy and found over 90% of accuracy.","PeriodicalId":417359,"journal":{"name":"2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129069545","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}
Rezoana Bente Arif, M. Siddique, Mohammad Mahmudur Rahman Khan, M. Oishe
{"title":"Study and Observation of the Variations of Accuracies for Handwritten Digits Recognition with Various Hidden Layers and Epochs using Convolutional Neural Network","authors":"Rezoana Bente Arif, M. Siddique, Mohammad Mahmudur Rahman Khan, M. Oishe","doi":"10.1109/CEEICT.2018.8628078","DOIUrl":"https://doi.org/10.1109/CEEICT.2018.8628078","url":null,"abstract":"Nowadays, deep learning can be employed to a wide ranges of fields including medicine, engineering, etc. In deep learning, Convolutional Neural Network (CNN) is extensively used in the pattern and sequence recognition, video analysis, natural language processing, spam detection, topic categorization, regression analysis, speech recognition, image classification, object detection, segmentation, face recognition, robotics, and control. The benefits associated with its near human level accuracies in large applications lead to the growing acceptance of CNN in recent years. The primary contribution of this paper is to analyze the impact of the pattern of the hidden layers of a CNN over the overall performance of the network. To demonstrate this influence, we applied neural network with different layers on the Modified National Institute of Standards and Technology (MNIST) dataset. Also, is to observe the variations of accuracies of the network for various numbers of hidden layers and epochs and to make comparison and contrast among them. The system is trained utilizing stochastic gradient and backpropagation algorithm and tested with feedforward algorithm.","PeriodicalId":417359,"journal":{"name":"2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128182890","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. Shams, Marufa Rahman Meghla, M. Asaduzzaman, Md. Farhad Hossain
{"title":"Performance of Coordinated Scheduling in Downlink LTE-A under User Mobility","authors":"A. Shams, Marufa Rahman Meghla, M. Asaduzzaman, Md. Farhad Hossain","doi":"10.1109/CEEICT.2018.8628126","DOIUrl":"https://doi.org/10.1109/CEEICT.2018.8628126","url":null,"abstract":"Resource scheduling, in LTE, plays a pivotal role to determine the user equipment (UE) throughput. The performance of a scheduler is primarily affected by the associated latency and UE mobility. These can significantly deteriorate the overall system efficiency. Coordinated multipoint (CoMP) is considered as one of the primary downlink transmission technique to improve data transmission efficiency. A key feature of CoMP is coordinated scheduling (CS). This coordination can be centralized or distributed. These improve interference management but at the cost of an increased latency and backhaul traffic, which potentially reduces the overall achievable throughput of the system. The effect becomes significantly important when UE mobility is considered which further degrades the received UE signal-to-interference-plus-noise-ratio (SINR). This degrades the performance of a scheduler. In this paper, we have simulated, analyzed and compared several LTE downlink parameters between centralized coordinated scheduling (C-CS) and distributed coordinated scheduling (D-CS) for various channel bandwidths and UE densities under multiple UE velocity to determine which CS scheme is comparatively more efficient for high velocity UEs and under large UE densitites.","PeriodicalId":417359,"journal":{"name":"2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117200586","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":"Single Neuron ANN Based Current Controlled Permanent Magnet Brushless DC motor Drives","authors":"Nasim Mahmud, Protik Biswas","doi":"10.1109/CEEICT.2018.8628119","DOIUrl":"https://doi.org/10.1109/CEEICT.2018.8628119","url":null,"abstract":"Permanent Magnet Brushless DC (PMBLDC) motor has a huge scope of industrial application in modern automated industries. In this paper, an artificial neural network (ANN) based PMBLDC motor drives are proposed and the computational complexities of the neural network is avoided by using single neuron based neural network. Two types of neural network with different activation functions are considered in this paper. One is recurrent neural network (RNN) and another is feed forward back propagation (FFBP) based neural network. The performance of these proposed ANN based drives with respect to conventional adaptive PI controller is compared for different dynamic conditions. Considering starting characteristics there is no performance deviation among the proposed drives with respect to conventional drive system. But in case of dynamic speed changing condition, the transient current response of PMBLDC motor drive for proposed single neuron ANN based controller is moderated as compared to conventional drive.","PeriodicalId":417359,"journal":{"name":"2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT)","volume":"168 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132319655","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}
Akash Biswas, S. Nesar, Abdul Muktadir, Akib Jayed Islam, Nishako Chakma
{"title":"A Compact Microstripline-Fed On-Body Matched Antenna for Wireless Medical Applications","authors":"Akash Biswas, S. Nesar, Abdul Muktadir, Akib Jayed Islam, Nishako Chakma","doi":"10.1109/CEEICT.2018.8628045","DOIUrl":"https://doi.org/10.1109/CEEICT.2018.8628045","url":null,"abstract":"A novel design of a flexible on-body matched microstripline-fed antenna for biomedical applications is proposed in this article. The core feature of the proposed antenna refers to its tiny dimension, bendability, low temperature co-fired ceramics (LTCC) substrate layer, impressive return loss, higher bandwidth that makes it appropriate for on-body matched wireless medical applications. The dimension of the antenna is 13.86 mm × 13.49 mm × 0.35 mm where substrate layer, LTCC layer has the thickness of 0.326 mm and on the other hand, the thickness of the radiating patch is 0.012 mm. The performance of the antenna was analyzed to operate in the Industrial, Scientific and Medical (ISM) band (2.4–2.5 GHz). Three layers of the human phantom model have been proposed as well as biocompatibility test, SAR calculations, flexibility, and several performance measurements have been utilized using CST Microwave Studio software in both curved and planar states by following different types of dielectric property matching with human tissue model. Finally, Specific Absorption Rate (SAR) is evaluated to check its feasibility and workability in wireless medical applications.","PeriodicalId":417359,"journal":{"name":"2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129524126","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}
Mohammad Mahmudur Rahman Khan, M. Siddique, Rezoana Bente Arif, M. Oishe
{"title":"ADBSCAN: Adaptive Density-Based Spatial Clustering of Applications with Noise for Identifying Clusters with Varying Densities","authors":"Mohammad Mahmudur Rahman Khan, M. Siddique, Rezoana Bente Arif, M. Oishe","doi":"10.1109/CEEICT.2018.8628138","DOIUrl":"https://doi.org/10.1109/CEEICT.2018.8628138","url":null,"abstract":"Density-based spatial clustering of applications with noise (DBSCAN) is a data clustering algorithm which has the high-performance rate for dataset where clusters have the constant density of data points. One of the significant attributes of this algorithm is noise cancellation. However, DBSCAN demonstrates reduced performances for clusters with different densities. Therefore, in this paper, an adaptive DBSCAN is proposed which can work significantly well for identifying clusters with varying densities.","PeriodicalId":417359,"journal":{"name":"2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130565094","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. A. Razi, Syeda Maliha Rahim, R. Urbi, N. Mohammad, R. Islam
{"title":"Performance Improvement of In0.65Ga_0.35N Solar Cell Incorporated With Front and Back Contact","authors":"S. A. Razi, Syeda Maliha Rahim, R. Urbi, N. Mohammad, R. Islam","doi":"10.1109/CEEICT.2018.8628124","DOIUrl":"https://doi.org/10.1109/CEEICT.2018.8628124","url":null,"abstract":"In this paper, we have investigated the effects of incorporating Indium Tin Oxide (ITO) as front contact and Nickel as back contact in the In0.65Ga0.35N singlejunction (SJ) solar cell. The effects of variation in doping concentrations and thickness of p-layer and n-layer on the cell performance are studied. The maximum efficiency of the cell is found at 500 nm and 100 nm thicknesses of the p-layer and the n-layer respectively. The optimum bandgap for both the layers is 1.5 eV with the same doping concentration. The optimum efficiency, open circuit voltage, short circuit current density and fill factor found from the proposed cell are 25.62%, 0.97 V, 29.59 mA/cm2 and 0.85 respectively for an air-mass, AM 1.5.","PeriodicalId":417359,"journal":{"name":"2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134336868","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}
Abu Taher Noman, Samzad Hossain, Shariful Islam, M. E. Islam, N. Ahmed, M. Chowdhury
{"title":"Design and Implementation of Microcontroller Based Anti-Theft Vehicle Security System using GPS, GSM and RFID","authors":"Abu Taher Noman, Samzad Hossain, Shariful Islam, M. E. Islam, N. Ahmed, M. Chowdhury","doi":"10.1109/CEEICT.2018.8628051","DOIUrl":"https://doi.org/10.1109/CEEICT.2018.8628051","url":null,"abstract":"Stealing the vehicle is the major threat to car or vehicle owners. Nowadays, it is increasing day by day. If not recovered soon, stolen vehicle are generally sold, revamped or even burned, if the resale price is considered to be too low. When a vehicle is stolen, it becomes hard to locate and track it, which considerably decreases the chances of recovering it. An Anti-Theft vehicle security has been developed to mitigate this problem. This system consists of a PIC16F876A microcontroller, fingerprint, RFID, GPS-GSM modules and a tilt sensor. The car will be started with RFID or fingerprint or password. If an unauthorized person wants to open the door of the vehicle, it will ask for correct RFID or password or fingerprint. The tilt sensor is used to measure any breaking of windows or doors and movement of the vehicle, a message will be sent to the owner's mobile containing the location of the car via GPS-GSM module. The system gives also an alarm. Furthermore, the connection to the fuel injector of the car is deactivated to prevent the unauthorized start of the vehicle anyhow. This anti-theft security system enhances the chances of recovering the car.","PeriodicalId":417359,"journal":{"name":"2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134379315","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}