2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)最新文献_第4页

Design and Implementation of a PLC based Automatic Industrial Drainage System 基于PLC的自动工业排水系统的设计与实现

2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) Pub Date : 2021-02-27 DOI: 10.1109/ICICT4SD50815.2021.9396930

Md Atikur Rahman, Hasan al Banna, Amran Hossain, Md. Mosaraf Hossain Khan, Shafayat Hossain, Md. Iquebal Hossain Patwary, Tuhin Mallik, Mohammad Naimul Islam

{"title":"Design and Implementation of a PLC based Automatic Industrial Drainage System","authors":"Md Atikur Rahman, Hasan al Banna, Amran Hossain, Md. Mosaraf Hossain Khan, Shafayat Hossain, Md. Iquebal Hossain Patwary, Tuhin Mallik, Mohammad Naimul Islam","doi":"10.1109/ICICT4SD50815.2021.9396930","DOIUrl":"https://doi.org/10.1109/ICICT4SD50815.2021.9396930","url":null,"abstract":"In garments or other industries waste draining and to keep inner environment air clean is the main headache issue. Also, the reduction of production cost and overall time depends greatly on the proper way of waste removal. Most modern industries adopted the technology of automatic waste removing system. This becomes easier with the introduction of the programmable logic controller (PLC). Therefore, this project work deals with the design and implementation of a model of an automatic industrial waste removing system or drainage system using PLC. The initiative is aimed at design and fabricate a simple and proficient way to control the disposal of solid & liquid wastes and toxic gases in a separate way. The wastes are deposits up to a specific limit and then automate the process of waste removal. Sensors were used to send the information to the controller. This project can be used for industrial purposes, a coal mining company, and Pharmaceutical Industries. Further, in this present work, the performance of this automation system is more reliable to prevent emergency environmental situations.","PeriodicalId":239251,"journal":{"name":"2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127343798","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}

引用次数: 0

A Data Mining Approach to Identify the Stress Level Based on Different Activities of Human 基于人类不同活动的压力水平识别的数据挖掘方法

2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) Pub Date : 2021-02-27 DOI: 10.1109/ICICT4SD50815.2021.9396896

Md. Al-Mamun Billah, M. Raihan, Nasif Alvi, Tamanna Akter, N. J. Bristy

{"title":"A Data Mining Approach to Identify the Stress Level Based on Different Activities of Human","authors":"Md. Al-Mamun Billah, M. Raihan, Nasif Alvi, Tamanna Akter, N. J. Bristy","doi":"10.1109/ICICT4SD50815.2021.9396896","DOIUrl":"https://doi.org/10.1109/ICICT4SD50815.2021.9396896","url":null,"abstract":"Stress is one of the biggest realities in our modern lives because of the rapid variations in human lives and it induces depression. Depression is an illness characterized by anxiety and gloominess felt over a phase of time. Some signs of depression matched with other physical illnesses implying huge trouble in diagnosing it. In this analysis, we have tried to identify the reason for depression among students, based on their nature. We have collected data and generated a dataset that contains 539 instances containing 23 unique attributes individually. By using this data, we created a system that helps to identify the reason for depression. In this paper, a dataset has been analyzed to identify the rate of depression among students using Multilayer Perceptron (MLP), Multi-objective Evolutionary Algorithm and Fuzzy Unordered Rule Induction Algorithm. With the assistance of 100-fold-cross validation, we measure the validity of data that is collected by us, and the performance matrix helps us to report the evaluation of data. This evaluation report has shown us the accuracy and effectiveness of constructing a model to predict the reason for depression. We have got 90.90% accuracy by using Multilayer Perceptron, 92.95% accuracy by using the Fuzzy Unordered Rule Induction Algorithm and 92.76% accuracy by using Multi-objective Evolutionary Algorithm. Our main goal is to identify the rate of depression among students based on human nature.","PeriodicalId":239251,"journal":{"name":"2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124883324","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}

引用次数: 4

Security Policy Based Network Infrastructure for Effective Digital Service 基于安全策略的有效数字服务网络基础设施

2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) Pub Date : 2021-02-27 DOI: 10.1109/ICICT4SD50815.2021.9396907

Toyeer-E-Ferdoush, Bikarna Kumar Ghosh, K. A. Taher

引用次数: 0

A Hybrid Collaborative Recommendation System Based On Matrix Factorization And Deep Neural Network 基于矩阵分解和深度神经网络的混合协同推荐系统

2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) Pub Date : 2021-02-27 DOI: 10.1109/ICICT4SD50815.2021.9397027

Md. Rafidul Islam Sarker, Abdul Matin

引用次数: 1

Mining Significant Features of Diabetes through Employing Various Classification Methods 利用各种分类方法挖掘糖尿病的重要特征

2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) Pub Date : 2021-02-27 DOI: 10.1109/ICICT4SD50815.2021.9397006

Nurjahan, Mohammad Abu Tareq Rony, Md. Shahriare Satu, Md. Whaiduzzaman

{"title":"Mining Significant Features of Diabetes through Employing Various Classification Methods","authors":"Nurjahan, Mohammad Abu Tareq Rony, Md. Shahriare Satu, Md. Whaiduzzaman","doi":"10.1109/ICICT4SD50815.2021.9397006","DOIUrl":"https://doi.org/10.1109/ICICT4SD50815.2021.9397006","url":null,"abstract":"Diabetes is a chronic disease that occurs when blood glucose becomes very high. It is responsible for a number of serious complications in an affected patients body. However, early detection of this harmful disease can reduce critical situations like death as well as minimize the chance of losing valuable organs due to this disease. The aim of this study is to construct a predictive model through examining several machine learning techniques namely Decision tree, K Nearest Neighbour, Naive Bayes, Support Vector Machine, Logistic Regression, extreme Gradient Boosting, Multi-Layer Perceptron and Random Forest on two different datasets of diabetes patients namely Pima Indian diabetes datasets and Sylhet Diabetes Hospital datasets. Several popular and effective feature subset selection procedures have also been utilized for eliminating unnecessary attributes. After analyzing the outputs of the work, it is seen that Random Forest delivers the highest accuracy (97.5%), F-measure (97.5%), Area under Receiver Operating Characteristic Curve (99.80%) for the Gain Ratio Attribute Evaluation feature subset selection technique in case of Sylhet hospital datasets. On the other hand, in case of Pima Indian datasets, Logistic Regression delivers the highest accuracy (77.7%), F-measure (77%) for Information Gain Attribute Evaluation and Area under Receiver Operating Curve (83%) for both of the techniques namely Correlation-based Feature Selection Subset Evaluation and Correlation Attribute Evaluation. However, In this study, 10 fold cross validation technique has been used for the performance measurement.","PeriodicalId":239251,"journal":{"name":"2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132694119","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}

引用次数: 2

A Convolutional Neural Network Model for Early-Stage Detection of Autism Spectrum Disorder 孤独症谱系障碍早期检测的卷积神经网络模型

2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) Pub Date : 2021-02-27 DOI: 10.1109/ICICT4SD50815.2021.9397020

Md. Fazle Rabbi, S. Hasan, Arifa I. Champa, Md. Asif Zaman

{"title":"A Convolutional Neural Network Model for Early-Stage Detection of Autism Spectrum Disorder","authors":"Md. Fazle Rabbi, S. Hasan, Arifa I. Champa, Md. Asif Zaman","doi":"10.1109/ICICT4SD50815.2021.9397020","DOIUrl":"https://doi.org/10.1109/ICICT4SD50815.2021.9397020","url":null,"abstract":"Autism is a developmental handicap of children that gets worse as they age. An autistic child has problems with interaction and communication, as well as limited behavior. If autistic children are diagnosed early, they can have a quality life by providing thorough care and therapy. However, in many developed countries, it is too late to diagnose children with autism. Besides, a trained medical expert is required to identify autism as there are no direct medical tests. Medical practitioners also take enough time to detect it because the children have to be monitored intensively. In this research, artificial intelligence algorithms have been utilized for detecting autism in children from images that are not viable for ordinary people. We have employed five different algorithms that are Multilayer Perceptron (MLP), Random Forest (RF), Gradient Boosting Machine (GBM), AdaBoost (AB) and Convolutional Neural Network (CNN) for classifying Autism Spectrum Disorder (ASD) in children. Comparing classification performances among those algorithms, we have achieved the highest accuracy of 92.31 % on CNN, which outperformed the other conventional Machine Learning (ML) algorithms. Therefore, we proposed a prediction model based on CNN, which can be used for detecting ASD, especially for children.","PeriodicalId":239251,"journal":{"name":"2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131993293","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}

引用次数: 8

Unconventional Energy Harvesting from Wind Velocity and VIV Resonance Phenomenon by using Bladeless Wind Turbine (BLWT) 利用无叶片风力机(BLWT)从风速和涡激共振现象收集非常规能量

2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) Pub Date : 2021-02-27 DOI: 10.1109/ICICT4SD50815.2021.9396939

Md. Abdul Kader Zilani, Akter Hossen, S. Mostafa, M. M. Rahman, Mohammad Minhaj Uddin, Md Abdul Mazid

{"title":"Unconventional Energy Harvesting from Wind Velocity and VIV Resonance Phenomenon by using Bladeless Wind Turbine (BLWT)","authors":"Md. Abdul Kader Zilani, Akter Hossen, S. Mostafa, M. M. Rahman, Mohammad Minhaj Uddin, Md Abdul Mazid","doi":"10.1109/ICICT4SD50815.2021.9396939","DOIUrl":"https://doi.org/10.1109/ICICT4SD50815.2021.9396939","url":null,"abstract":"Electric power is mostly produced by using conventional fuel, which gradually increases the atmospheric temperature and pollutes the environment. That is why the majority of countries are aware of the destructive effect of using conventional fuel and corroborates their plan for achieving electric power from renewable energy source. Electrical Power generation from wind is now growing renewable energy harvesting source using wind turbine because of its higher efficiency. This thesis proposed a wind power production system on the coastal side by using vortex induced vibration of Bladeless wind turbine. In this turbine, when wind passes outside the circular mast, it creates a vortex-induced vibration in its body due to mast vortices. This displacement of the mast rotates a pulley with the help of a crankshaft. Then the rotation of the pulley rotates a dc generator to produce electricity. A prototype of the proposed turbine was designed to record the corresponding output. It has been observed that 2.93V and 2.38A were obtained for 4.1ms-l wind velocity and 7.56V, 5.39A were obtained for 6.5ms-l wind velocity across a variable resistive load. A comparison was also done comparing the existing output with the proposed one for measuring the efficiency. For the proposed model of BLWT, the maximum efficiency was obtained to be around 46%.","PeriodicalId":239251,"journal":{"name":"2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)","volume":"23 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114041011","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}

引用次数: 2

Anomaly Detection Method for Sensor network in Under Water Environment 水下环境下传感器网络异常检测方法

2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) Pub Date : 2021-02-27 DOI: 10.1109/ICICT4SD50815.2021.9396943

F. Nasrin, Arifa Yasmin, Nafiz Ishtiaque Ahmed

{"title":"Anomaly Detection Method for Sensor network in Under Water Environment","authors":"F. Nasrin, Arifa Yasmin, Nafiz Ishtiaque Ahmed","doi":"10.1109/ICICT4SD50815.2021.9396943","DOIUrl":"https://doi.org/10.1109/ICICT4SD50815.2021.9396943","url":null,"abstract":"In recent times, the underwater wireless sensor network (UWSN) is the most challenging issue. Reducing the damage of the underwater channel or device is demanding. UWSN is composed of the variable of sensor nodes that interact to collect and perform collaborative tasks in an underwater environment for monitoring the environment. UWSN is challenging because of the depth of the water. Monitoring in the underwater environment is costly. The monitoring mission can fail to the failure of single or multiple devices or sensor nodes. The main reason for the damage of sensor nodes can occur for some harmful objects like jellyfish, shark, angry fish, big stone, unwanted weather, and similar marine objects. The sensor can be damaged at any time due to the high depth of water and harmful living objects under the water. So designing a proper routing protocol is significant and challenging for the underwater wireless network. In the underwater environment changing, replacing, or recharging the sensor is difficult. The main objective of this paper is to reduce the number of dead sensors during the transmission of data. This study represented a routing protocol by using a detection algorithm and modifying the routing path in the underwater wireless sensor network, which will reduce the amount of dead sensor. In this proposed method, the mechanism will decrease the quantity of sensor damage from unexpected underwater environments.","PeriodicalId":239251,"journal":{"name":"2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114602538","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}

引用次数: 0

Prediction of Hepatitis Disease Using K-Nearest Neighbors, Naive Bayes, Support Vector Machine, Multi-Layer Perceptron and Random Forest 基于k近邻、朴素贝叶斯、支持向量机、多层感知机和随机森林的肝炎疾病预测

2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) Pub Date : 2021-02-27 DOI: 10.1109/ICICT4SD50815.2021.9397013

M. Nayeem, Sohel Rana, Farjana Alam, M. Rahman

{"title":"Prediction of Hepatitis Disease Using K-Nearest Neighbors, Naive Bayes, Support Vector Machine, Multi-Layer Perceptron and Random Forest","authors":"M. Nayeem, Sohel Rana, Farjana Alam, M. Rahman","doi":"10.1109/ICICT4SD50815.2021.9397013","DOIUrl":"https://doi.org/10.1109/ICICT4SD50815.2021.9397013","url":null,"abstract":"At present, Hepatitis is one of the serious types of disease which causes death around the world. It is responsiblefor inflammation in the human liver. If we can succeed to detect this deadly disease early, we can save many people's lives from this disease. In this research paper, we have predicted hepatitis disease by using different data mining techniques. Besides this, we have proposed a decent way by which we can improve the performanceof our prediction models. We have handled missing values present in our dataset by removing the observations having missing values. We have found out the unnecessary features by using info-gain feature selection procedure with ranker search. The classification techniques such that K-Nearest Neighbors (KNN), Naive Bayes Support Vector Machine (SVM), Multi-Layer Perceptron (MLP) and Random Forest are applied on the hepatitis disease dataset in order to calculate prediction accuracy. We have measured accuracy, precision, recall, F1-score and ROC whose help us to compare the performance of the classification models. Removing the observations having missing values as well as the info-gain feature selection technique has helped us to improve the accuracy of our prediction models. We have got best performance from Random Forest whose classification accuracy is 92.41%.","PeriodicalId":239251,"journal":{"name":"2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128205936","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}

引用次数: 7

Multi-Label Bengali article classification using ML-KNN algorithm and Neural Network 基于ML-KNN算法和神经网络的多标签孟加拉文文章分类

2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) Pub Date : 2021-02-27 DOI: 10.1109/ICICT4SD50815.2021.9396882

Wahiduzzaman Akanda, A. Uddin

{"title":"Multi-Label Bengali article classification using ML-KNN algorithm and Neural Network","authors":"Wahiduzzaman Akanda, A. Uddin","doi":"10.1109/ICICT4SD50815.2021.9396882","DOIUrl":"https://doi.org/10.1109/ICICT4SD50815.2021.9396882","url":null,"abstract":"Multi-label classification is a very complex and critical task to solve in Natural Language Processing and Text Mining domain. Moreover, Bengali has limited resources to work with. The goal of this research is to overcome these constraints and provide a sophisticated and standard solution that will solve this problem for Bengali text. This research output can be utilized by any Bengali newspaper portals to improve their recommendation system as well as reduce manual labor of document tagging. In this work, we have utilized a large dataset that contains 4,16,289 news articles and 4,302 unique labels. These news articles are collected from one of the most popular Bengali newspapers of Bangladesh named Prothom Alo. The news articles span over seven years (2013 to 2019). These news articles are categorized into six categories named Sports, Technology, Economy, Entertainment, International, and State. This huge dataset helps us to build a supervised model using the ML-KNN algorithm and Neural Network. Furthermore, for the word embedding feature, we have utilized Count Vectorizer. We will also briefly discuss how different parameters like words per document, labels per category impact the result.","PeriodicalId":239251,"journal":{"name":"2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133649838","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}

引用次数: 3