2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)最新文献_第10页

Application of Machine Learning for Optimal Placement of Distributed Generation 机器学习在分布式发电优化布局中的应用

2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) Pub Date : 2021-02-27 DOI: 10.1109/ICICT4SD50815.2021.9396945

Shah Mohazzem Hossain, Md. Saif Hassan Onim, S. Biswas, A. Chowdhury

引用次数: 2

A New Coordination Approach to Mitigate Composition Attack 一种新的协同防御组合攻击方法

2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) Pub Date : 2021-02-27 DOI: 10.1109/ICICT4SD50815.2021.9396903

Farah Wahida, A. S. Sattar, Md. Muktar Hossain

{"title":"A New Coordination Approach to Mitigate Composition Attack","authors":"Farah Wahida, A. S. Sattar, Md. Muktar Hossain","doi":"10.1109/ICICT4SD50815.2021.9396903","DOIUrl":"https://doi.org/10.1109/ICICT4SD50815.2021.9396903","url":null,"abstract":"Data anonymization is one of the essential strategies, which is utilized in security protecting data publication. Numerous techniques have been proposed to anonymize various associations' data sets to distribute them autonomously. In any case, a data set is infrequently confined, a nd distributed by numerous associations may get a record of a similar individual. An independently distributed data set may have a little security hazard. Notwithstanding, the blend of two distributed data sets may penetrate people's security, common in informational collections, by composition attack. A couple of researches have been done to forestall it without considering coordination among different associations before data publishing. Even though coordination is a magnificent method to keep away from such issues, associations would prefer not to share their client informational collections with others. In this work, we present a coordination strategy where complete information sharing is not essential. This will successfully beat security concerns. It has been demonstrated tentatively that the proposed strategy anonymizes information to fulfill the security necessity and preserve high data utility than previously proposed models.","PeriodicalId":239251,"journal":{"name":"2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)","volume":"23 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":"123779266","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

Improved Prediction of Glutarylation PTM Site using Evolutionary Features with LightGBM Resolving Data Imbalance Issue 利用进化特征与LightGBM解决数据不平衡问题的改进戊二酰化PTM位点预测

2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) Pub Date : 2021-02-27 DOI: 10.1109/ICICT4SD50815.2021.9396995

S. M. Shovan, Md. Al Mehedi Hasan, M. Islam

{"title":"Improved Prediction of Glutarylation PTM Site using Evolutionary Features with LightGBM Resolving Data Imbalance Issue","authors":"S. M. Shovan, Md. Al Mehedi Hasan, M. Islam","doi":"10.1109/ICICT4SD50815.2021.9396995","DOIUrl":"https://doi.org/10.1109/ICICT4SD50815.2021.9396995","url":null,"abstract":"Glutarylation is relatively new lysine specific post translational modification which regulates different biochemical processes and biological activities of living cell. The identification process of glutarylation is still primitive. Mass spectrometry is a laboratory method which is time demanding, cost ineffective and requires a lot of human labour. So development of accurate computational tool can effectively reduce both time and expense. Instead of using amino acids frequency based features, mutation is the evolutionary information which has been considered for extracting the features from peptides. Cluster centroid based undersampling is used for preserving the most useful information from the majority class for handling the imbalance issue. Decision tree based boosting classifier, LightGBM is chosen for having the best performance among other classifiers. As a result, we achieved accuracy, sensitivity and specificity of 76.65%, 72.35% & 80.96% for the 10-fold cross validation and 79.5%, 75% & 84% for independent test set respectively. Thus, our model surpasses the performance of recently developed tools RF -GlutarySite and MDDGlutar.","PeriodicalId":239251,"journal":{"name":"2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)","volume":"49 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":"132263009","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

Securely Transfer Information with RSA and Digital Signature by using the concept of Fog Computing and Blockchain 利用雾计算和区块链的概念，通过RSA和数字签名安全地传输信息

2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) Pub Date : 2021-02-27 DOI: 10.1109/ICICT4SD50815.2021.9396987

Anika Tabassum, Humayra Anjumee Jeba, Tasnim Kabir Mahi, S. Reza, Dilshad Ara Hossain

引用次数: 1

Document Level Emotion Detection from Bangla Text Using Machine Learning Techniques 使用机器学习技术从孟加拉语文本中进行文档级情感检测

2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) Pub Date : 2021-02-27 DOI: 10.1109/ICICT4SD50815.2021.9397036

Sadia Afrin Purba, Sadia Tasnim, Mobasshira Jabin, Tahmim Hossen, Md. Khairul Hasan

{"title":"Document Level Emotion Detection from Bangla Text Using Machine Learning Techniques","authors":"Sadia Afrin Purba, Sadia Tasnim, Mobasshira Jabin, Tahmim Hossen, Md. Khairul Hasan","doi":"10.1109/ICICT4SD50815.2021.9397036","DOIUrl":"https://doi.org/10.1109/ICICT4SD50815.2021.9397036","url":null,"abstract":"Understanding emotion from documents automatically is an interesting research topic in the machine learning field. Nowadays, many applications like email, blog, etc have the ability to suggest joyful or angry expressions from written documents. In spite of being a popular language, Bangla lacks a rich corpus with annotated emotion labels, so recognizing emotion from documents is still not developed as other languages. In this work, we have proposed a new dataset containing Bangla documents with annotation of three emotions- Happy, Sad and Angry. Two major feature extraction techniques - Bag of Words(BoW) and Word Embedding is used to extract features from the documents. BoW is used by Logistic Regression and Multinomial Naive Bayes classifiers. Word Embedding is used by Artificial Neural Network(ANN) and Convolutional Neural Network(CNN) classifiers. Among all, Multinomial Naive Bayes classifier has given the best performance on the test set and the accuracy is 68.27%. We have made our dataset11Dataset: https://doi.org/10.6084/m9.figshare.13052789.v1 available for all to be used in further research purposes.","PeriodicalId":239251,"journal":{"name":"2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)","volume":"1 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":"121873597","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

Movie Genre Classification with Deep Neural Network using Poster Images 基于海报图像的深度神经网络电影类型分类

2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) Pub Date : 2021-02-27 DOI: 10.1109/ICICT4SD50815.2021.9396778

N. Hossain, Md. Martuza Ahamad, Sakifa Aktar, M. Moni

{"title":"Movie Genre Classification with Deep Neural Network using Poster Images","authors":"N. Hossain, Md. Martuza Ahamad, Sakifa Aktar, M. Moni","doi":"10.1109/ICICT4SD50815.2021.9396778","DOIUrl":"https://doi.org/10.1109/ICICT4SD50815.2021.9396778","url":null,"abstract":"The utility of the deep learning model on poster images to classify their corresponding movie genre is an incredible challenge in computer vision. The objective of this study is to make a computerized framework that works with pictures, both low-level and high-level highlights (such as object detection and form) to classify movie genres. Categorizing motion pictures makes it easier for the watcher to choose a movie they would like to watch. The method of categorizing movies is known as a genre. Many people started to work with low-level features (colour, edge) utilizing deep neural networks for movie genre classification. In this work, a convolutional neural network has been applied to classify the movie genre using their corresponding poster images. At first, this study extracted features from the movie's poster images and then classified the movie genres. A multilayered convolutional neural network is outlined which is trained over a large number of poster images. This study reached an accuracy of 91.15%, f1 score of 0.22, precision 0.67, hamming loss 0.1 and zero one loss 0.75 for the classification of the movie genre.","PeriodicalId":239251,"journal":{"name":"2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)","volume":"55 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":"121633790","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: 1

Data Assimilation: Two Different Perspectives Based on the Initial-Condition Dependence 数据同化:基于初始条件依赖的两种不同视角

2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) Pub Date : 2020-12-12 DOI: 10.1109/ICICT4SD50815.2021.9396885

Mohammad N. Murshed, Zarin Subah, Mohammad Monir Uddin

{"title":"Data Assimilation: Two Different Perspectives Based on the Initial-Condition Dependence","authors":"Mohammad N. Murshed, Zarin Subah, Mohammad Monir Uddin","doi":"10.1109/ICICT4SD50815.2021.9396885","DOIUrl":"https://doi.org/10.1109/ICICT4SD50815.2021.9396885","url":null,"abstract":"Both theory and real data are what we tend to use for engineering purposes. Data Assimilation (DA) is a computational tool that uses value from the model and the real measurement to arrive to an optimally acceptable value. The work in this paper is motivated by the fact that DA needs to be tailored based on the dependence of the problem on the initial condition. We point out that DA has two different perspectives based on the type of problem: one that does not rely on the initial condition, and the other that is initial condition dependent. Data Assimilation is demonstrated on two examples: runoff monitoring and forecasting in the city of Dhaka (initial condition independent) and convection in the atmosphere (initial condition dependent). We show that standard DA works well for problems with no initial condition dependence and piecewise DA is to be utilized when the problem has initial condition dependence. In the first example, we exploited standard Data Assimilation to arrive at values that are more realistic than the ones from the model and the observations. The second example is where we devised a method to find the dynamics of the system in a piecewise manner in Data Assimilation framework and noticed that the data assimilated dynamics (even due to noisy initial condition) is in good agreement with the true dynamics for a reasonable extent of time in future.","PeriodicalId":239251,"journal":{"name":"2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126604405","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