Pub Date : 2019-07-01DOI: 10.1109/IC4ME247184.2019.9036602
Azmain Yakin Srizon, Md. Al Mehedi Hasan
Having the five-year survival rate of approximately 5%, currently, the fourth leading reason for cancer-related deaths is pancreatic cancer. Previously, various works have concluded that early diagnosis plays a significant role in improving the survival rate and different online tools have been used to identify prognostic biomarker which is a long process. We think that the statistical feature selection method can provide a better and faster result here. To establish our statement, we selected three different mRNA microarray (GSE15471, GSE28735 and GSE16515) and a microRNA (GSE41372) dataset for identification of differentially expressed genes (DEGs) and differentially expressed microRNAs (DEMs). By using a parametric test (Student’s t-test), 178 DEGs and 16 DEMs were selected. After identifying target genes of DEMs, we selected two DEGs (ECT2 and NRP2) which were also identified among DEMs target genes. Furthermore, overall survival analysis confirmed that ECT2 and NRP2 were correlated with inadequate overall survival. Hence, we concluded that for pancreatic cancer, a parametric test like Student’s t-test can perform better for biomarker identification, and here, ECT2 and NRP2 can act as possible biomarkers. All the resources, programs and snippets of our literature can be discovered at https://github.com/Srizon143005/PancreaticCancerBiomarkers.
{"title":"Prognostic Biomarker Identification for Pancreatic Cancer by Analyzing Multiple mRNA Microarray and microRNA Expression Datasets","authors":"Azmain Yakin Srizon, Md. Al Mehedi Hasan","doi":"10.1109/IC4ME247184.2019.9036602","DOIUrl":"https://doi.org/10.1109/IC4ME247184.2019.9036602","url":null,"abstract":"Having the five-year survival rate of approximately 5%, currently, the fourth leading reason for cancer-related deaths is pancreatic cancer. Previously, various works have concluded that early diagnosis plays a significant role in improving the survival rate and different online tools have been used to identify prognostic biomarker which is a long process. We think that the statistical feature selection method can provide a better and faster result here. To establish our statement, we selected three different mRNA microarray (GSE15471, GSE28735 and GSE16515) and a microRNA (GSE41372) dataset for identification of differentially expressed genes (DEGs) and differentially expressed microRNAs (DEMs). By using a parametric test (Student’s t-test), 178 DEGs and 16 DEMs were selected. After identifying target genes of DEMs, we selected two DEGs (ECT2 and NRP2) which were also identified among DEMs target genes. Furthermore, overall survival analysis confirmed that ECT2 and NRP2 were correlated with inadequate overall survival. Hence, we concluded that for pancreatic cancer, a parametric test like Student’s t-test can perform better for biomarker identification, and here, ECT2 and NRP2 can act as possible biomarkers. All the resources, programs and snippets of our literature can be discovered at https://github.com/Srizon143005/PancreaticCancerBiomarkers.","PeriodicalId":368690,"journal":{"name":"2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124679181","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 : 2019-07-01DOI: 10.1109/IC4ME247184.2019.9036630
Mehedi Hasan, Muzammal Hoque, Md. Mehedi Hashan Jony, M. H. Kabir
The aim of this research is to describe the design and construction process of a microchannel as a multimode lx2 Y-groove optical planar power splitter which will be cost effective and analyzed for short haul backbone optical communication systems. The splitter was designed by using Solidworks software for connecting with specific lmm core diameter fiber and fabricated directly by an FDM 3D printer. NOA glue were used to fill up the core, on the other hand, the design structure of substrate and cover layers was fabricated by ABS polymer. Then, an efficient ultra-smoothing technique was applied and the insertion losses of the splitter were measured.
{"title":"Design of the ABS polymer based multimode planar large core 1x2 splitter fabricated by 3D printing technology","authors":"Mehedi Hasan, Muzammal Hoque, Md. Mehedi Hashan Jony, M. H. Kabir","doi":"10.1109/IC4ME247184.2019.9036630","DOIUrl":"https://doi.org/10.1109/IC4ME247184.2019.9036630","url":null,"abstract":"The aim of this research is to describe the design and construction process of a microchannel as a multimode lx2 Y-groove optical planar power splitter which will be cost effective and analyzed for short haul backbone optical communication systems. The splitter was designed by using Solidworks software for connecting with specific lmm core diameter fiber and fabricated directly by an FDM 3D printer. NOA glue were used to fill up the core, on the other hand, the design structure of substrate and cover layers was fabricated by ABS polymer. Then, an efficient ultra-smoothing technique was applied and the insertion losses of the splitter were measured.","PeriodicalId":368690,"journal":{"name":"2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116649332","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 : 2019-07-01DOI: 10.1109/IC4ME247184.2019.9036615
A. Akter, Badal Chandra Mitra, Rahat Hossain Faisal, Md. Mostafijur Rahman
Garments and fashion industries play a vital role in our economy. The automatic classification and recognition of garments design class may help in development of fashion industry. For this purpose, different feature descriptors have been proposed to extract discriminative information from the garments texture images. In this paper we proposed a new descriptor namely Extended Noise Adaptive Binary Pattern (ENABP). To evaluate this descriptor, we use two different publicly available datasets (Fashion and Clothing attribute dataset). The experimental result shows that ENABP produces better accuracy than NABP and other existing descriptor.
{"title":"Extended Noise Adaptive Binary Pattern for Garments Pattern Classification","authors":"A. Akter, Badal Chandra Mitra, Rahat Hossain Faisal, Md. Mostafijur Rahman","doi":"10.1109/IC4ME247184.2019.9036615","DOIUrl":"https://doi.org/10.1109/IC4ME247184.2019.9036615","url":null,"abstract":"Garments and fashion industries play a vital role in our economy. The automatic classification and recognition of garments design class may help in development of fashion industry. For this purpose, different feature descriptors have been proposed to extract discriminative information from the garments texture images. In this paper we proposed a new descriptor namely Extended Noise Adaptive Binary Pattern (ENABP). To evaluate this descriptor, we use two different publicly available datasets (Fashion and Clothing attribute dataset). The experimental result shows that ENABP produces better accuracy than NABP and other existing descriptor.","PeriodicalId":368690,"journal":{"name":"2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126818847","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 : 2019-07-01DOI: 10.1109/IC4ME247184.2019.9036654
B. R. Bhattarai, Amrit Regmi, S. K. Gautam
Cadmium sulfide (CdS) nanoparticles were synthesized by wet chemical coprecipitation method using cadmium chloride and sodium sulfide as cadmium and sulfur sources, respectively. Ascorbic acid was used as capping agent. XRD analysis showed that the particles were present in hexagonal phase. The average particle size, using Debye-Scherer's equation, was found to be temperature dependent, 3.1 nm at $20^{circ}mathrm{C}$ and 3.4 nm at 45°C. The synthesized CdS nanoparticles revealed considerable blue shift in absorption edge compare to to the bulk CdS. They exhibited quantum size effect and showed an increase in band gap with the decrease in particle size. The average particles sizes obtained from XRD, TEM and UV-visible spectroscopy were found to be in good agreement with each other in the range 3-5 nm.
{"title":"Cadmium Sulfide Nanoparticles: Synthesis and Characterization","authors":"B. R. Bhattarai, Amrit Regmi, S. K. Gautam","doi":"10.1109/IC4ME247184.2019.9036654","DOIUrl":"https://doi.org/10.1109/IC4ME247184.2019.9036654","url":null,"abstract":"Cadmium sulfide (CdS) nanoparticles were synthesized by wet chemical coprecipitation method using cadmium chloride and sodium sulfide as cadmium and sulfur sources, respectively. Ascorbic acid was used as capping agent. XRD analysis showed that the particles were present in hexagonal phase. The average particle size, using Debye-Scherer's equation, was found to be temperature dependent, 3.1 nm at $20^{circ}mathrm{C}$ and 3.4 nm at 45°C. The synthesized CdS nanoparticles revealed considerable blue shift in absorption edge compare to to the bulk CdS. They exhibited quantum size effect and showed an increase in band gap with the decrease in particle size. The average particles sizes obtained from XRD, TEM and UV-visible spectroscopy were found to be in good agreement with each other in the range 3-5 nm.","PeriodicalId":368690,"journal":{"name":"2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126864577","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 : 2019-07-01DOI: 10.1109/IC4ME247184.2019.9036572
Sifat Ahmed, Fatima Tabsun, Abdus Sayef Reyadh, Asif Imtiaz Shaafi, F. Shah
The technology of object recognition has advanced in recent times. There are so many models that performed brilliantly when used to detect English handwritten alphanumeric characters. But when it comes to Bengali handwritten character recognition, these predefined model slightly underperformed. The complexity of Bengali characters and unavailability of a good dataset are the main reasons for the underperformance of these models. So the problem still quite unsolved. But in Bengali digit recognition some of the models performed very well. We propose a Deep Convolutional Neural Network model to recognize Bengali handwritten alphabets. The dataset used in this experiment is pretty new and have not tested with DCNN models. Till now, our model achieves 95% accuracy in recognizing the alphabets.
{"title":"Bengali Handwritten Alphabet Recognition using Deep Convolutional Neural Network","authors":"Sifat Ahmed, Fatima Tabsun, Abdus Sayef Reyadh, Asif Imtiaz Shaafi, F. Shah","doi":"10.1109/IC4ME247184.2019.9036572","DOIUrl":"https://doi.org/10.1109/IC4ME247184.2019.9036572","url":null,"abstract":"The technology of object recognition has advanced in recent times. There are so many models that performed brilliantly when used to detect English handwritten alphanumeric characters. But when it comes to Bengali handwritten character recognition, these predefined model slightly underperformed. The complexity of Bengali characters and unavailability of a good dataset are the main reasons for the underperformance of these models. So the problem still quite unsolved. But in Bengali digit recognition some of the models performed very well. We propose a Deep Convolutional Neural Network model to recognize Bengali handwritten alphabets. The dataset used in this experiment is pretty new and have not tested with DCNN models. Till now, our model achieves 95% accuracy in recognizing the alphabets.","PeriodicalId":368690,"journal":{"name":"2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125723257","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 : 2019-07-01DOI: 10.1109/IC4ME247184.2019.9036705
Md. Kowsher, M. A. Alam, M. J. Uddin, Faisal Ahmed, M. Ullah, Md. Rafiqul Islam
For the time being, Cricket is an indisputably one of the most interesting game in the world, especially in the territory of South Asian. As human beings are prone to error, sometimes errors have happened to an umpire and about a constant time is taken by the third umpire for an exact decision of a review. The two different domains artificial intelligence and computer vision have become pop in cricket analysis and decision making. Using different types of computer vision’s procedures in exploring several Cricket cases and automatically turning into decisions have become exoteric in recent days. In this research paper, we have propounded a classification method by the aids of Convolutional Neural Network (CNN) with Inception V3 in order to automatically unroll the decisions of third umpire and scoring system such as umpire signal detection. We have also proposed the deep CNN technique that aids to increase the performance of CNN.
{"title":"Detecting Third Umpire Decisions & Automated Scoring System of Cricket","authors":"Md. Kowsher, M. A. Alam, M. J. Uddin, Faisal Ahmed, M. Ullah, Md. Rafiqul Islam","doi":"10.1109/IC4ME247184.2019.9036705","DOIUrl":"https://doi.org/10.1109/IC4ME247184.2019.9036705","url":null,"abstract":"For the time being, Cricket is an indisputably one of the most interesting game in the world, especially in the territory of South Asian. As human beings are prone to error, sometimes errors have happened to an umpire and about a constant time is taken by the third umpire for an exact decision of a review. The two different domains artificial intelligence and computer vision have become pop in cricket analysis and decision making. Using different types of computer vision’s procedures in exploring several Cricket cases and automatically turning into decisions have become exoteric in recent days. In this research paper, we have propounded a classification method by the aids of Convolutional Neural Network (CNN) with Inception V3 in order to automatically unroll the decisions of third umpire and scoring system such as umpire signal detection. We have also proposed the deep CNN technique that aids to increase the performance of CNN.","PeriodicalId":368690,"journal":{"name":"2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128903819","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 : 2019-07-01DOI: 10.1109/IC4ME247184.2019.9036552
Fariya Tabassum, M. S. Rana
In this technical brief an optimal linear-quadratic-Gaussian (LQG) control scheme is proposed for the robust control of an automatic voltage regulator (AVR) in a single area power system. In order to improve the overshoot damping efficiency of the system a damping compensator (DC) is incorporated with the LQG controller. The aim of this LQG-DC controller is to restore the nominal voltage of a grid isolated power system due to sudden load variation. The response of AVR system after implementing conventional proportional-integral-derivative (PID), linear-quadratic-regulator (LQR) and LQG controller is compared with the proposed LQG-DC control scheme to prove its efficacy.
{"title":"An Optimal LQG-DC Control for Compensating Voltage Fluctuation in a Single Area Power System","authors":"Fariya Tabassum, M. S. Rana","doi":"10.1109/IC4ME247184.2019.9036552","DOIUrl":"https://doi.org/10.1109/IC4ME247184.2019.9036552","url":null,"abstract":"In this technical brief an optimal linear-quadratic-Gaussian (LQG) control scheme is proposed for the robust control of an automatic voltage regulator (AVR) in a single area power system. In order to improve the overshoot damping efficiency of the system a damping compensator (DC) is incorporated with the LQG controller. The aim of this LQG-DC controller is to restore the nominal voltage of a grid isolated power system due to sudden load variation. The response of AVR system after implementing conventional proportional-integral-derivative (PID), linear-quadratic-regulator (LQR) and LQG controller is compared with the proposed LQG-DC control scheme to prove its efficacy.","PeriodicalId":368690,"journal":{"name":"2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127938195","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 : 2019-07-01DOI: 10.1109/IC4ME247184.2019.9036671
Chyon Krishno Bhattachargee, Niloy Sikder, M. Hasan, A. Nahid
Anatomization of EMG signals is one of the building blocks of modern prostheses. As the goal is to build robotic arms whose functions are identical to the natural ones, EMG signals produced from various hand gestures and finger movements have received much attention in recent times. Surface EMG signals collected from the upper hand muscles show specific patterns for a particular finger movement, which is also true for combined (more than one) finger movements. Utilizing Digital Signal Processing (DSP), and Machine Learning (ML) techniques this paper proposes a novel method to distinguish among various EMG signals generated from ten different hand gestures. To reduce complexity and make the signals more understandable to the algorithm statistical and frequency features were extracted from the raw EMG signals and used for classification. In order to prove the effectiveness of the method, it was tested on a practical EMG dataset and the results of the experiments are presented.
{"title":"Finger Movement Classification Based on Statistical and Frequency Features Extracted from Surface EMG Signals","authors":"Chyon Krishno Bhattachargee, Niloy Sikder, M. Hasan, A. Nahid","doi":"10.1109/IC4ME247184.2019.9036671","DOIUrl":"https://doi.org/10.1109/IC4ME247184.2019.9036671","url":null,"abstract":"Anatomization of EMG signals is one of the building blocks of modern prostheses. As the goal is to build robotic arms whose functions are identical to the natural ones, EMG signals produced from various hand gestures and finger movements have received much attention in recent times. Surface EMG signals collected from the upper hand muscles show specific patterns for a particular finger movement, which is also true for combined (more than one) finger movements. Utilizing Digital Signal Processing (DSP), and Machine Learning (ML) techniques this paper proposes a novel method to distinguish among various EMG signals generated from ten different hand gestures. To reduce complexity and make the signals more understandable to the algorithm statistical and frequency features were extracted from the raw EMG signals and used for classification. In order to prove the effectiveness of the method, it was tested on a practical EMG dataset and the results of the experiments are presented.","PeriodicalId":368690,"journal":{"name":"2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131488255","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 : 2019-07-01DOI: 10.1109/IC4ME247184.2019.9036585
Md. Kowsher, M. A. Alam, M. J. Uddin, Md. Rafiqul Islam, Nuruzzaman Pias, Abu Rayhan Md Saifullah
Bengali Informative Chatbot (BIC) is an effective technique that helps a user to trace relevant information by Natural Language Processing (NLP). In this research paper, we introduce an algorithmic Bengali Informative Chatbot (BIC) based on information that is significant mathematically and statistically. This paper is demonstrated by two algorithms for finding out the lemmatization of Bengali words such as Trie and Dictionary Based Search by Removing Affix (DBSRA) as well as compared with Edit Distance for the exact lemmatization. We present the Bengali Anaphora resolution system using the Hobbs’ algorithm to get the correct expression of information. As the actions of chatbot replying algorithms, the TF-IDF and Cosine Similarity are developed to find out the accurate answer from the documents. In this study, we introduce a Bengali Language Toolkit (BLTK) and Bengali Language Expression (BRE) that make the easiest implication of our task. We have also developed Bengali root word’s corpus, synonym word’s corpus, stop word’s corpus and gathered 672 articles as questions and answers form the popular Bengali newspapers ‘The Daily Prothom Alo’ is our inserted information. For testing this system, we have created 19334 questions from the introduced information and got 97.22% accurate answer by proposed BIC.
{"title":"Bengali Informative Chatbot","authors":"Md. Kowsher, M. A. Alam, M. J. Uddin, Md. Rafiqul Islam, Nuruzzaman Pias, Abu Rayhan Md Saifullah","doi":"10.1109/IC4ME247184.2019.9036585","DOIUrl":"https://doi.org/10.1109/IC4ME247184.2019.9036585","url":null,"abstract":"Bengali Informative Chatbot (BIC) is an effective technique that helps a user to trace relevant information by Natural Language Processing (NLP). In this research paper, we introduce an algorithmic Bengali Informative Chatbot (BIC) based on information that is significant mathematically and statistically. This paper is demonstrated by two algorithms for finding out the lemmatization of Bengali words such as Trie and Dictionary Based Search by Removing Affix (DBSRA) as well as compared with Edit Distance for the exact lemmatization. We present the Bengali Anaphora resolution system using the Hobbs’ algorithm to get the correct expression of information. As the actions of chatbot replying algorithms, the TF-IDF and Cosine Similarity are developed to find out the accurate answer from the documents. In this study, we introduce a Bengali Language Toolkit (BLTK) and Bengali Language Expression (BRE) that make the easiest implication of our task. We have also developed Bengali root word’s corpus, synonym word’s corpus, stop word’s corpus and gathered 672 articles as questions and answers form the popular Bengali newspapers ‘The Daily Prothom Alo’ is our inserted information. For testing this system, we have created 19334 questions from the introduced information and got 97.22% accurate answer by proposed BIC.","PeriodicalId":368690,"journal":{"name":"2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2)","volume":"222 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132198022","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 : 2019-07-01DOI: 10.1109/IC4ME247184.2019.9036597
A. M. Jahirul Islam, J. Saha, K. Roy, A. Barua
At present, most of the people in rural areas use biomass such as wood, cow dung, jute sticks or other agricultural wastes for cooking in the clay stoves. Those traditional clay stoves not only inefficient but also poorly ventilated. As a result, they produce fine particles, aromatic hydrocarbons, carbon monoxide, and dioxins that cause air pollution. However, traditional biogas system accomplished in developing countries and some least developed countries (e.g. Bangladesh) are not automated. In this paper, an automated bidirectional business concept is introduced where both buyers and sellers are benefited at the same time in rural areas. In this community business model, people sell biogas from their micro biogas plant through the automated grid. This research is a master-slave wireless system based on Arduino that incorporates with payment system via a mobile application. RF pair along with transmitter and receiver is used in order to get transmitting and receiving biogas quantity and other signals for every user. In addition, an analytic calculation is done for the performance test of the proposed system.
{"title":"Automated Biogas Grid for Sustainable Development in Rural Area","authors":"A. M. Jahirul Islam, J. Saha, K. Roy, A. Barua","doi":"10.1109/IC4ME247184.2019.9036597","DOIUrl":"https://doi.org/10.1109/IC4ME247184.2019.9036597","url":null,"abstract":"At present, most of the people in rural areas use biomass such as wood, cow dung, jute sticks or other agricultural wastes for cooking in the clay stoves. Those traditional clay stoves not only inefficient but also poorly ventilated. As a result, they produce fine particles, aromatic hydrocarbons, carbon monoxide, and dioxins that cause air pollution. However, traditional biogas system accomplished in developing countries and some least developed countries (e.g. Bangladesh) are not automated. In this paper, an automated bidirectional business concept is introduced where both buyers and sellers are benefited at the same time in rural areas. In this community business model, people sell biogas from their micro biogas plant through the automated grid. This research is a master-slave wireless system based on Arduino that incorporates with payment system via a mobile application. RF pair along with transmitter and receiver is used in order to get transmitting and receiving biogas quantity and other signals for every user. In addition, an analytic calculation is done for the performance test of the proposed system.","PeriodicalId":368690,"journal":{"name":"2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122186962","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：