2022 International Conference on Decision Aid Sciences and Applications (DASA)最新文献_第10页

Ensure Safe Internet for Children and Teenagers Using Deep Learning 使用深度学习确保儿童和青少年安全上网

2022 International Conference on Decision Aid Sciences and Applications (DASA) Pub Date : 2022-03-23 DOI: 10.1109/DASA54658.2022.9765035

Farzana Arefin Nazira, Sudipto Gosh, Prof. Dr. Kamruddin Nur, Sondip Poul Singh, M. F. Mridha

{"title":"Ensure Safe Internet for Children and Teenagers Using Deep Learning","authors":"Farzana Arefin Nazira, Sudipto Gosh, Prof. Dr. Kamruddin Nur, Sondip Poul Singh, M. F. Mridha","doi":"10.1109/DASA54658.2022.9765035","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765035","url":null,"abstract":"Modern technology provides us with incredible resources that change how we live our lives daily. In today’s world, every single person uses a mobile phone. The child and teenagers also use mobile phones with the internet to communicate with their parents when they are in the office. Children and teenagers also use mobile phones for study, gaming, and social media. Sometimes the inappropriate content will appear before children and teenagers. Sometimes they cannot understand and click on it. We developed a proposed architecture based on CNN, RNN, OpenCV, haar cascade classifier, and MySQL for internet safety children and teenagers. When children and teenagers click on inappropriate content, the video camera will open and detect a child, teenager, adult, or old. If it is a child or teenager, the content will be hidden. OpenCV has been used for opening the video camera. Haar cascade classifier used for face detection. XAMPP MySQL database has been used for matching website links and blocking them. We generate a child, teenager, adult, and old(CTAO) dataset that contains 5000 images. The proposed architecture has been assessed using the CTAO dataset. We obtained 88.50% accuracy, 86.12% precision, 87.10% recall, and 86.60% f1 score.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116792805","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

IoT Based Reverse Vending Machine to Identify Aluminium Material and Allocate Point Reward 基于物联网的反向自动售货机识别铝材料并分配积分奖励

2022 International Conference on Decision Aid Sciences and Applications (DASA) Pub Date : 2022-03-23 DOI: 10.1109/DASA54658.2022.9765296

Muhammad Ehsan Rana, Kamalanathan Shanmugam, Kwan Yi

引用次数: 1

Architectural Design and Development Recommendations for iBeacon based Smart Shelves in a Retail Store 基于iBeacon的零售商店智能货架的架构设计与开发建议

2022 International Conference on Decision Aid Sciences and Applications (DASA) Pub Date : 2022-03-23 DOI: 10.1109/DASA54658.2022.9765006

Muhammad Ehsan Rana, Junie Halim, Kamalanathan Shanmugam

{"title":"Architectural Design and Development Recommendations for iBeacon based Smart Shelves in a Retail Store","authors":"Muhammad Ehsan Rana, Junie Halim, Kamalanathan Shanmugam","doi":"10.1109/DASA54658.2022.9765006","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765006","url":null,"abstract":"The growth in digital technology has given most sectors an economic boost, especially retail. Digital technology has successfully made a new concept of an online store and brick-and-mortar presence. However, a physical store is still in demand for most individuals, considering the convenience of grab and go without waiting for delivery. Some recent studies found that most retailers face the same issue with the customers who tend to be more demanding towards selecting a product with specific brands. Therefore, the retail sector, which could provide more products, brands, and freshness, will win, whereby small retailers could only depend on pricing to beat the competitor. Henceforth, the researchers have proposed the implementation of iBeacon based smart shelves for retail stores based on IoT devices. This research mainly focuses on most retailers' current state and issues. This research critically evaluates similar systems and justifies the use of IoT devices and other infrastructural components using a systematic approach, and finally proposes the architecture and recommendations for building the iBeacon based smart shelves for retail stores.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114377379","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

Managing performance through technology in times of global crisis 在全球危机时期通过技术管理绩效

2022 International Conference on Decision Aid Sciences and Applications (DASA) Pub Date : 2022-03-23 DOI: 10.1109/DASA54658.2022.9764960

Sunaina Kuknor, B. Sharma, Phanindra Sai Siddamsetty

引用次数: 0

EEG Signals Based Motor Imagery and Movement Classification for BCI Applications 基于脑电信号的脑机接口运动图像和运动分类

2022 International Conference on Decision Aid Sciences and Applications (DASA) Pub Date : 2022-03-23 DOI: 10.1109/DASA54658.2022.9765311

B. Taşar, Orhan Yaman

{"title":"EEG Signals Based Motor Imagery and Movement Classification for BCI Applications","authors":"B. Taşar, Orhan Yaman","doi":"10.1109/DASA54658.2022.9765311","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765311","url":null,"abstract":"The Brain-Computer Interface (BCI) is a system that uses the neural activity data of the brain to control the devices in the outside world, in other words, to communicate. BCI studies of wearable sensor EEG sensor technology have gained momentum. In this study, in order to enable the use of electroencephalogram (EEG) patterns in BCI applications, the extraction of statistical-based features, the selection of the most effective features with the NCA method, and the determination of the type of motion request with classification algorithms were carried out. The PhysioNet EEG Motor Movement/Imagery dataset was used. For six different types of motion and imaging, 30 statistical features were calculated (960 in total) for each channel of the EEG signals received from the 48-channel EEG sensor head, and the most effective 120 features were selected with NCA. The selected feature set is given as input to the LD, NB, SVM classification algorithms. The test accuracy success of the models is 91.18%, 95.41%, and 99.51%, respectively. These results show that the proposed method will give successful results in BCI applications.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114745257","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

Values-Based Decision-Making for Conserving Built Heritage 基于价值的建筑遗产保护决策

2022 International Conference on Decision Aid Sciences and Applications (DASA) Pub Date : 2022-03-23 DOI: 10.1109/DASA54658.2022.9765068

Kanika Bansal, Pankaj Chhabra

{"title":"Values-Based Decision-Making for Conserving Built Heritage","authors":"Kanika Bansal, Pankaj Chhabra","doi":"10.1109/DASA54658.2022.9765068","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765068","url":null,"abstract":"Amidst the urbanization processes and need for contemporary development, preservation, conservation and maintenance of heritage buildings requires rational decisions by the urban local bodies (ULBs). The main challenge lies in the subjectivity in assigning values to heritage buildings because of the diverse stakeholders involved in the process. Value assessment aids to assign Grades (Grade I/II/III) to heritage buildings that ultimately steers the conservation action to be taken. Conflicting opinions on grading heritage buildings and deciding which building is to be preserved and which should be pulled down has resulted in the need for an analytical framework to support the process of grading built heritage. Multi Criteria Decision Making (MCDM) is an established method that presents a formal methodology to give solutions to such problems induced due to decision-making taking into account the available information and stakeholders’ opinion. This study accounts for the problems in grade assessment of heritage buildings through the Weighted Sum Method (WSM) for ranking attributes based on multiple criteria, which in the current research are the values assigned to the heritage buildings. The present study thus, aims to grade the built heritage in the colonial hill town (CHT) of Shimla in north India through a values-based priority decision-making method. The research will aid the decision-makers to prioritize the level of conservation these buildings deserve through a transparent analytical framework which otherwise is done subjectively involving conflicting stakeholders, leading to disputes over which heritage resource to be conserved and to what level.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127450928","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

Spurious Cotton Seed Control Management 假棉种控制管理

2022 International Conference on Decision Aid Sciences and Applications (DASA) Pub Date : 2022-03-23 DOI: 10.1109/DASA54658.2022.9765145

Nishant Racherla, Bhavesh Kankani, Adarsh Reddy Pulakanti, T. Venkat Narayana Rao, P. Vasavi

引用次数: 0

Investment decision in cloud gaming-based businesses opportunities: An analysis of the cloud gaming industry 基于云游戏的商业机会的投资决策:云游戏产业分析

2022 International Conference on Decision Aid Sciences and Applications (DASA) Pub Date : 2022-03-23 DOI: 10.1109/DASA54658.2022.9765298

P. Shrivastava, M. Damle

{"title":"Investment decision in cloud gaming-based businesses opportunities: An analysis of the cloud gaming industry","authors":"P. Shrivastava, M. Damle","doi":"10.1109/DASA54658.2022.9765298","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765298","url":null,"abstract":"Cloud gaming is a way of playing video games that involve remote servers in a data center. The need to download and install games on an end device is eliminated by cloud gaming. Cloud processing is intensive, and streaming is an essential component of cloud gaming which depends on several factors; thus, it faces several challenges in terms of investment decisions in the cloud-based gaming industry for investors. This study aims to provide a brief overview of the current cloud gaming market, posing challenges and opportunities for cloud gaming-based businesses and intends to compare four major cloud gaming platforms (CGP) based on their delivery services, the availability, pricing, features, streaming quality, and various games that the platform offers. Moreover, this study has carried out a SWOT analysis of the cloud game industry from a literature review. This research outlines six challenges that impact investment decisions and company potential. These include device requirements, streaming issues, cyber-attack risk, operational challenges, latency, and bandwidth. Furthermore, the paper also provides collaborative approach using the latest technologies solutions.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121004979","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

An Advanced Weighted Evidence Combination Method for Multisensor Data Fusion in IoT 物联网多传感器数据融合的一种先进加权证据组合方法

2022 International Conference on Decision Aid Sciences and Applications (DASA) Pub Date : 2022-03-23 DOI: 10.1109/DASA54658.2022.9765125

Nour El Imane Hamda, A. Hadjali, Mohand Lagha

引用次数: 3

A Hybrid SVC-CNN based Classification Model for Handwritten Mathematical Expressions(Numbers and Operators) 基于SVC-CNN的手写体数学表达式(数字和算子)混合分类模型

2022 International Conference on Decision Aid Sciences and Applications (DASA) Pub Date : 2022-03-23 DOI: 10.1109/DASA54658.2022.9765141

Sakshi, V. Kukreja

{"title":"A Hybrid SVC-CNN based Classification Model for Handwritten Mathematical Expressions(Numbers and Operators)","authors":"Sakshi, V. Kukreja","doi":"10.1109/DASA54658.2022.9765141","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765141","url":null,"abstract":"Machine learning and Computer Vision are computer science domains that have been working closely for a long time. Given the ubiquity of handwritten text in human transactions, we are endeavoring to acquire the answer to the quest \"Can Computer Vision and Machine learning together be deployed effectively for decisive classification of handwritten mathematical numbers and operators?\". The easier it is to communicate via handwritten texts and documents, the more challenging the task of digitizing and prediction, especially for the two-dimensional complex math statements and operators. This paper presents a hybrid model that involves machine learning and deep learning-based decision algorithms for classifying and predicting mathematical numbers and operators. The dataset considered for the experimentation has been downloaded from the Kaggle dataset store consisting of more than 12K images. The primary tasks involved include data collection, data preprocessing, and building and deploying the model. Mainly our model focuses on the extraction of contour features and performing classification using the LinearSVC model, and the prediction of numbers has been accomplished using CNN. The proposed classification and prediction model achieves an accuracy of 89.76% for predicting the math operators and 91.48% for predicting the numbers.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124918545","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