Pub Date : 2016-12-01DOI: 10.1109/ICECTE.2016.7879585
Md. Faruk Hossain, M. Faisal, H. Okada
The photovoltaic cells are the best way to use solar energy by absorbing the photons radiation. The aim of this paper work is to simulate perovskite solar cell and finding the optimum thickness of the absorber layer. Here we run a simulation of perovskite solar cells on SCAPS-1D simulator software. The cell structure employs similarity with other inorganic solar cells such like CIGS, CdTe and Cu(In,Ga)Se2. The absorber layer is CH3NH3PbI3−xCl3 used here for its great attention as highly efficient absorber. A high open circuit voltage of 1.112 V achieved here and the efficiency is more than 22%. The effect of work function of front and back contact also has a great influence over the fill factor and on the efficiency. By varying the thickness of different layers optimum result has been achieved and demonstrates that in I-V characteristics and quantum efficiency (QE).
{"title":"Device modeling and performance analysis of perovskite solar cells based on similarity with inorganic thin film solar cells structure","authors":"Md. Faruk Hossain, M. Faisal, H. Okada","doi":"10.1109/ICECTE.2016.7879585","DOIUrl":"https://doi.org/10.1109/ICECTE.2016.7879585","url":null,"abstract":"The photovoltaic cells are the best way to use solar energy by absorbing the photons radiation. The aim of this paper work is to simulate perovskite solar cell and finding the optimum thickness of the absorber layer. Here we run a simulation of perovskite solar cells on SCAPS-1D simulator software. The cell structure employs similarity with other inorganic solar cells such like CIGS, CdTe and Cu(In,Ga)Se2. The absorber layer is CH3NH3PbI3−xCl3 used here for its great attention as highly efficient absorber. A high open circuit voltage of 1.112 V achieved here and the efficiency is more than 22%. The effect of work function of front and back contact also has a great influence over the fill factor and on the efficiency. By varying the thickness of different layers optimum result has been achieved and demonstrates that in I-V characteristics and quantum efficiency (QE).","PeriodicalId":6578,"journal":{"name":"2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)","volume":"32 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84667224","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/ICECTE.2016.7879593
Subroto K. Sarkar, S. Das
This paper presents the design of a partial feedback linearization controller for speed control of DC machines. The design of the controller is presented based on the nonlinear modeling of the plant. The model of the plant is obtained from differential dynamic equations. A stability analysis is presented to guarantee the stability of the proposed design. To validate the effectiveness of the controller, DC machine systems are simulated. Simulation studies show that the proposed controller provides the accuracy and high performance of DC machines.
{"title":"Nonlinear modeling and control of DC machines: A partial feedback linearization approach","authors":"Subroto K. Sarkar, S. Das","doi":"10.1109/ICECTE.2016.7879593","DOIUrl":"https://doi.org/10.1109/ICECTE.2016.7879593","url":null,"abstract":"This paper presents the design of a partial feedback linearization controller for speed control of DC machines. The design of the controller is presented based on the nonlinear modeling of the plant. The model of the plant is obtained from differential dynamic equations. A stability analysis is presented to guarantee the stability of the proposed design. To validate the effectiveness of the controller, DC machine systems are simulated. Simulation studies show that the proposed controller provides the accuracy and high performance of DC machines.","PeriodicalId":6578,"journal":{"name":"2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)","volume":"13 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84315258","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/ICECTE.2016.7879599
M. A. Munjer, Md. Faruk Hossain, Md. Akramul Alim
This paper presents a modular cascaded H-bridge multilevel photovoltaic (PV) inverter for three-phase grid-connected solar cell. An angular controlled modulation scheme has been proposed for Modular Multilevel Converter in this application. To maximize the solar energy extraction in various irradiance, Incremental Conductance algorithm for maximum power point tracking is used, which allows independent control of each solar cell voltage. The performance of the system has also been analyzed at variable irradiance on the each cell. A simulation model of three-phase seventeen-level cascaded H-bridge inverter has been built by using twenty four number of H-bridge modules (eight modules per phase). Each H-bridge module is connected to a 270-W solar panel. Simulation results are presented to verify the feasibility of the proposed approach where on an average 1.5% THD is achieved in load phase voltage.
{"title":"Performance analysis of grid connected PV array with H-bridge inverter controlled by angular modulation scheme","authors":"M. A. Munjer, Md. Faruk Hossain, Md. Akramul Alim","doi":"10.1109/ICECTE.2016.7879599","DOIUrl":"https://doi.org/10.1109/ICECTE.2016.7879599","url":null,"abstract":"This paper presents a modular cascaded H-bridge multilevel photovoltaic (PV) inverter for three-phase grid-connected solar cell. An angular controlled modulation scheme has been proposed for Modular Multilevel Converter in this application. To maximize the solar energy extraction in various irradiance, Incremental Conductance algorithm for maximum power point tracking is used, which allows independent control of each solar cell voltage. The performance of the system has also been analyzed at variable irradiance on the each cell. A simulation model of three-phase seventeen-level cascaded H-bridge inverter has been built by using twenty four number of H-bridge modules (eight modules per phase). Each H-bridge module is connected to a 270-W solar panel. Simulation results are presented to verify the feasibility of the proposed approach where on an average 1.5% THD is achieved in load phase voltage.","PeriodicalId":6578,"journal":{"name":"2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)","volume":"41 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88225686","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/ICECTE.2016.7879583
Mohammad Kamrul Huq Maroof, Lamia Alam, M. M. Hoque
Natural language processing (NLP) refers to the ability of systems to process sentences in a natural language such as Bangla, rather than in a specialized artificial computer language. Computer processing of Bangla language is a challenging task due to its varieties of words formation and way of speaking. The same meaning can be expressed in different ways which is a great challenge to face for translation by an automatic machine translation system. With the advent of internet technology and e-commerce, the demand of automatic machine translation has been increased. Parsing is essential for any type of natural language processing. Parsing of Bangla natural language can be used as a subsystem for Bangla to another language machine aided translation. A parser usually checks the validity of a sentence using grammatical rule. In this paper, we propose a set of transformational generative grammar (TGG) in conjunction with phrase structure grammar to generate parse tree and to recognize assertive, interrogative, imperative, optative and exclamatory sentences of Bangla language. It is applicable for many sentences that cannot be parsed using only phrase structure grammars. The process involves analysis of Bangla sentence morphologically, syntactically where tokens and grammatical information are passed through parsing stage and finally output can be achieved. A dictionary of lexicon is used which contains some syntactic, semantic, and possibly some pragmatic information. We have tested our system for different kinds of Bangla sentences and experimental result reveals that the overall success rate of the proposed system is 84.4%.
{"title":"Transformational generative grammar (TGG): An efficient way of parsing Bangla sentences","authors":"Mohammad Kamrul Huq Maroof, Lamia Alam, M. M. Hoque","doi":"10.1109/ICECTE.2016.7879583","DOIUrl":"https://doi.org/10.1109/ICECTE.2016.7879583","url":null,"abstract":"Natural language processing (NLP) refers to the ability of systems to process sentences in a natural language such as Bangla, rather than in a specialized artificial computer language. Computer processing of Bangla language is a challenging task due to its varieties of words formation and way of speaking. The same meaning can be expressed in different ways which is a great challenge to face for translation by an automatic machine translation system. With the advent of internet technology and e-commerce, the demand of automatic machine translation has been increased. Parsing is essential for any type of natural language processing. Parsing of Bangla natural language can be used as a subsystem for Bangla to another language machine aided translation. A parser usually checks the validity of a sentence using grammatical rule. In this paper, we propose a set of transformational generative grammar (TGG) in conjunction with phrase structure grammar to generate parse tree and to recognize assertive, interrogative, imperative, optative and exclamatory sentences of Bangla language. It is applicable for many sentences that cannot be parsed using only phrase structure grammars. The process involves analysis of Bangla sentence morphologically, syntactically where tokens and grammatical information are passed through parsing stage and finally output can be achieved. A dictionary of lexicon is used which contains some syntactic, semantic, and possibly some pragmatic information. We have tested our system for different kinds of Bangla sentences and experimental result reveals that the overall success rate of the proposed system is 84.4%.","PeriodicalId":6578,"journal":{"name":"2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)","volume":"22 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82816966","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/ICECTE.2016.7879614
Fariya Tabassum, M. Sheikh, M. Hasanuzzaman
In this paper a central supervisory control system based on wind speed data is proposed for calculating reference power for the blade pitch angle of each wind turbine. Low Pass Filter (LPF) technique is used to generate proposed blade control system of wind farm. The wind farm consists of 5 induction generators (IG) and is connected to a multi machine power system composed of 4 synchronous generators (SG) and a load. An extra LPF is used for calculating reference power for IG4 and IG5. Simulations have been done by PSCAD/EMTDC program by using real wind speed data. Simulation results clearly indicate that proposed blade control system can maintain frequency with less energy losses.
{"title":"Minimization of output fluctuations of wind farm integrated hybrid power system using new pitch controller","authors":"Fariya Tabassum, M. Sheikh, M. Hasanuzzaman","doi":"10.1109/ICECTE.2016.7879614","DOIUrl":"https://doi.org/10.1109/ICECTE.2016.7879614","url":null,"abstract":"In this paper a central supervisory control system based on wind speed data is proposed for calculating reference power for the blade pitch angle of each wind turbine. Low Pass Filter (LPF) technique is used to generate proposed blade control system of wind farm. The wind farm consists of 5 induction generators (IG) and is connected to a multi machine power system composed of 4 synchronous generators (SG) and a load. An extra LPF is used for calculating reference power for IG4 and IG5. Simulations have been done by PSCAD/EMTDC program by using real wind speed data. Simulation results clearly indicate that proposed blade control system can maintain frequency with less energy losses.","PeriodicalId":6578,"journal":{"name":"2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)","volume":"2 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90643386","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/ICECTE.2016.7879630
Md Iamul Arafat Raihan
Modern society expects the power supply to be continuously available on demand because of its pattern of social and working habits. Hence, reliability is a key factor in power system designing and planning. Reliability of power system can be monitored at various levels of generation, transmission and distribution. This paper examines the impact of large scale energy storage on distribution system reliability. Both distributed and lumped placement of energy storage devices have been considered to calculate its impact on feeder as well as overall system reliability. DIgSILENT Power Factory 14.1 has been used as simulation tool. Results show that with introduction of energy storage devices into distribution system, duration of outage decreases in an annum. However, the inclusion of storage devices increases the frequency of outage to some extents.
现代社会的社会模式和工作习惯决定了人们对电力供应的持续需求。因此，可靠性是电力系统设计和规划的关键因素。电力系统的可靠性可以在发电、输电和配电的各个层面进行监测。本文研究了大规模储能对配电系统可靠性的影响。考虑了储能装置的分布式和集总布置，计算了其对馈线和整个系统可靠性的影响。使用DIgSILENT Power Factory 14.1作为仿真工具。结果表明，在配电网中引入储能装置后，配电网的年停电时间有所减少。然而，存储设备的加入在一定程度上增加了中断的频率。
{"title":"Impact of energy storage devices on reliability of distribution system","authors":"Md Iamul Arafat Raihan","doi":"10.1109/ICECTE.2016.7879630","DOIUrl":"https://doi.org/10.1109/ICECTE.2016.7879630","url":null,"abstract":"Modern society expects the power supply to be continuously available on demand because of its pattern of social and working habits. Hence, reliability is a key factor in power system designing and planning. Reliability of power system can be monitored at various levels of generation, transmission and distribution. This paper examines the impact of large scale energy storage on distribution system reliability. Both distributed and lumped placement of energy storage devices have been considered to calculate its impact on feeder as well as overall system reliability. DIgSILENT Power Factory 14.1 has been used as simulation tool. Results show that with introduction of energy storage devices into distribution system, duration of outage decreases in an annum. However, the inclusion of storage devices increases the frequency of outage to some extents.","PeriodicalId":6578,"journal":{"name":"2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)","volume":"73 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83352289","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/ICECTE.2016.7879588
Punab Chandra Kundu, P. Sarker, Nirupam Das, Md. Rabiul Islam
In this paper, the crosstalk performance of a 4 × 4 fiber bragg grating and optical circulator based bidirectional optical cross connects using ten-port rotatable optical circulator (ROC) in wavelength division multiplexing bidirectional ring networks has been presented. The number of coherent and incoherent crosstalk components has been identified. The performance is evaluated in terms of total crosstalk power and BER. Also the effect of fiber brag grating parameter has been investigated considering the power ratio of each coherent and incoherent field, relative to the power of main signal.
{"title":"Performance analysis of 4 × 4 FBG-OC-based bidirectional optical cross connects using ten-port ROC in WDM networks","authors":"Punab Chandra Kundu, P. Sarker, Nirupam Das, Md. Rabiul Islam","doi":"10.1109/ICECTE.2016.7879588","DOIUrl":"https://doi.org/10.1109/ICECTE.2016.7879588","url":null,"abstract":"In this paper, the crosstalk performance of a 4 × 4 fiber bragg grating and optical circulator based bidirectional optical cross connects using ten-port rotatable optical circulator (ROC) in wavelength division multiplexing bidirectional ring networks has been presented. The number of coherent and incoherent crosstalk components has been identified. The performance is evaluated in terms of total crosstalk power and BER. Also the effect of fiber brag grating parameter has been investigated considering the power ratio of each coherent and incoherent field, relative to the power of main signal.","PeriodicalId":6578,"journal":{"name":"2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)","volume":"51 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77574772","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/ICECTE.2016.7879567
Kamrun Nahar Shushama, M. Rana, Reefat Inum
In the present paper, surface plasmon resonance based two graphene coated fiber optic biosensors are analyzed using a four layer model. Graphene is used as third layer of a four layer model. Gold or silver is used as second layer and graphene is coated around the silver or gold. A theoretical study has been carried out for two sensors using gold and silver. Two biosensors have been studied separately and then a comparison has been made. Sensitivity has been studied for different number of graphene layers.
{"title":"Comparison of two types of graphene coated fiber optic SPR biosensors","authors":"Kamrun Nahar Shushama, M. Rana, Reefat Inum","doi":"10.1109/ICECTE.2016.7879567","DOIUrl":"https://doi.org/10.1109/ICECTE.2016.7879567","url":null,"abstract":"In the present paper, surface plasmon resonance based two graphene coated fiber optic biosensors are analyzed using a four layer model. Graphene is used as third layer of a four layer model. Gold or silver is used as second layer and graphene is coated around the silver or gold. A theoretical study has been carried out for two sensors using gold and silver. Two biosensors have been studied separately and then a comparison has been made. Sensitivity has been studied for different number of graphene layers.","PeriodicalId":6578,"journal":{"name":"2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)","volume":"59 2 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74313960","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/ICECTE.2016.7879568
S. K. Dhar, Mahmudul Hasan, Shayhan Ameen Chowdhury
Recognizing human activities has become an active research area in computer vision because of its promising need and use in many applications. In this paper, we represent a method for recognizing human activities in video. In order to recognize different activities accurately a distinctive and informative feature vector is required which can encode more distinctive information. We introduce a feature named Directive Local Binary Pattern (DLBP) which we develop on the basis of our experimental result that is orientation information is more informative than magnitude information for binary silhouette based recognition. The proposed Directive Local Binary Pattern (DLBP) incorporates orientation information with intensity differences of binary silhouette images. It is further combined with Edge Orientation Histogram (EOH) and forms a more distinctive and informative feature set. By means of the extracted features, Support vector machine is used for training and recognition which is a robust classifier. The proposed method for recognizing human activities is experimented on different videos containing various moving humans and the outcomes of our method are encouraging.
人体活动识别由于其广阔的应用前景，已成为计算机视觉领域的一个活跃研究领域。在本文中，我们提出了一种识别视频中人类活动的方法。为了准确地识别不同的活动，需要一个具有鲜明性和信息量的特征向量，该特征向量可以编码更多具有鲜明性的信息。本文介绍了一种基于定向局部二值模式(DLBP)的特征，该特征是在我们的实验结果的基础上开发的，即在基于二值轮廓的识别中，方向信息比大小信息更有信息量。提出的指令局部二值模式(Directive Local Binary Pattern, DLBP)结合了二值轮廓图像的方向信息和强度差异。它进一步与边缘方向直方图(EOH)相结合，形成一个更独特和信息丰富的特征集。利用提取的特征，利用支持向量机进行训练和识别，是一种鲁棒分类器。我们在不同的视频中对所提出的人类活动识别方法进行了实验，结果令人鼓舞。
{"title":"Human activity recognition based on Gaussian mixture model and directive local binary pattern","authors":"S. K. Dhar, Mahmudul Hasan, Shayhan Ameen Chowdhury","doi":"10.1109/ICECTE.2016.7879568","DOIUrl":"https://doi.org/10.1109/ICECTE.2016.7879568","url":null,"abstract":"Recognizing human activities has become an active research area in computer vision because of its promising need and use in many applications. In this paper, we represent a method for recognizing human activities in video. In order to recognize different activities accurately a distinctive and informative feature vector is required which can encode more distinctive information. We introduce a feature named Directive Local Binary Pattern (DLBP) which we develop on the basis of our experimental result that is orientation information is more informative than magnitude information for binary silhouette based recognition. The proposed Directive Local Binary Pattern (DLBP) incorporates orientation information with intensity differences of binary silhouette images. It is further combined with Edge Orientation Histogram (EOH) and forms a more distinctive and informative feature set. By means of the extracted features, Support vector machine is used for training and recognition which is a robust classifier. The proposed method for recognizing human activities is experimented on different videos containing various moving humans and the outcomes of our method are encouraging.","PeriodicalId":6578,"journal":{"name":"2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)","volume":"57 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75786661","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/ICECTE.2016.7879589
Khandakar Tareq Alam, S. M. E. Hossain, M. Arefin
Nowadays, online social networks become an important part in people's everyday life. Most of the people share their feelings, views, likings and disliking using social networks. By analysing social networks' data properly, it is possible to identify the behavioural patterns of the users. Considering this fact, in this paper we present a framework to analyse social networks' data to identify human behaviours. We have developed a framework for the collection and analysis of large data by crawling public data obtained from the users of online social networks. The system can analyze data posted by the users in two different languages. Experimental results show that social network is a good resource for estimating attitudes of the people.
{"title":"Developing a framework for analyzing social networks to identify human behaviours","authors":"Khandakar Tareq Alam, S. M. E. Hossain, M. Arefin","doi":"10.1109/ICECTE.2016.7879589","DOIUrl":"https://doi.org/10.1109/ICECTE.2016.7879589","url":null,"abstract":"Nowadays, online social networks become an important part in people's everyday life. Most of the people share their feelings, views, likings and disliking using social networks. By analysing social networks' data properly, it is possible to identify the behavioural patterns of the users. Considering this fact, in this paper we present a framework to analyse social networks' data to identify human behaviours. We have developed a framework for the collection and analysis of large data by crawling public data obtained from the users of online social networks. The system can analyze data posted by the users in two different languages. Experimental results show that social network is a good resource for estimating attitudes of the people.","PeriodicalId":6578,"journal":{"name":"2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)","volume":"22 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83475684","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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