2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)最新文献_第3页

Automatic Image Alignment and Fusion in a Digital Photomontage 自动图像对齐和融合在数字蒙太奇

2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE) Pub Date : 2021-11-01 DOI: 10.1109/ITSS-IoE53029.2021.9615267

Jitender Singh Virk, Surender Singh

{"title":"Automatic Image Alignment and Fusion in a Digital Photomontage","authors":"Jitender Singh Virk, Surender Singh","doi":"10.1109/ITSS-IoE53029.2021.9615267","DOIUrl":"https://doi.org/10.1109/ITSS-IoE53029.2021.9615267","url":null,"abstract":"A composite of several pictures is what we call a Photomontage or a collage. Having a large collection of photographs from an event, wedding, or trip is common these days. It is tedious to manually select meaningful images from the large collection of pictures to create a summary or story-telling montage. With the rapid development of computer vision algorithms, the modern digital world operates on automated and intelligent vision systems. Regular users highly demand these intelligent, automatic, and user-friendly systems. Our focus is to create an intelligent and user-friendly system that requires little to no manual work to create a digital photomontage. As a result, this paper describes the procedure of an automated digital photomontage web app. This system aims to construct an eye-pleasing image from a collection of input images without any effort. The system constructs a montage, also known as collage, of given images using several computer vision algorithms to identify each image’s right placement. The algorithms involve saliency detection, face detection, smooth image-to-image transition, auto-orientation, and image-borders blending. The web app is available at https://jsvirk47.pythonanywhere.com and code is available at https://tinyurl.com/h4ccehrx. The proposed system is easy to use and provides high-quality results. This system is ideal for regular users to process images to share with their friends and family or social media profiles.","PeriodicalId":230566,"journal":{"name":"2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132469958","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

Feature Selection based on Particle Swarm Optimization Algorithm for Sentiment Analysis Classification 基于粒子群算法的情感分析分类特征选择

2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE) Pub Date : 2021-11-01 DOI: 10.1109/ITSS-IoE53029.2021.9615311

Vivine Nurcahyawati, Z. Mustaffa

引用次数: 1

Role of Shariah compliance on Cryptocurrency Acceptance among Malaysians: An Empirical Study 遵守伊斯兰教法对马来西亚人接受加密货币的作用:一项实证研究

2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE) Pub Date : 2021-11-01 DOI: 10.1109/ITSS-IoE53029.2021.9615291

Redhwan Al-amri, Shuhd Al-Shami, Hussein Mohammed Esmail Abualrejal, Mohammed A. Al-Sharafi, Tareq Khaled Yahya Alormuza

{"title":"Role of Shariah compliance on Cryptocurrency Acceptance among Malaysians: An Empirical Study","authors":"Redhwan Al-amri, Shuhd Al-Shami, Hussein Mohammed Esmail Abualrejal, Mohammed A. Al-Sharafi, Tareq Khaled Yahya Alormuza","doi":"10.1109/ITSS-IoE53029.2021.9615291","DOIUrl":"https://doi.org/10.1109/ITSS-IoE53029.2021.9615291","url":null,"abstract":"Cryptocurrency is the first successful application of blockchain technology that represents a breakthrough in the financial industry. Cryptocurrencies are decentralized currencies with no central issuer, allowing users to perform transactions, such as virtual payment for goods and services and fund transfer with low fees independently and effectively by utilizing blockchain platforms to ensure the legitimacy and validity of the transactions conducted. However, the acceptance rate of cryptocurrency globally and in Malaysia, is not at the desired level because of consumers' concerns such as Shariah compliance. Therefore, this paper attempts to examine user perception of the acceptance of the cryptocurrency system application from the Shariah perspectives. UTAUT is utilized in this paper, together with a Shariah compliance integration to formulate and evaluate various hypotheses that would establish the proposed conceptual model. The study used a sample of 496 persons. The hypothesis testing revealed that Performance Expectancy, Effort Expectancy, Social Influence, and Shariah compliance all affect behavioral intention to adopt cryptocurrency from a Shariah perspective in Malaysia.","PeriodicalId":230566,"journal":{"name":"2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)","volume":"20 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123565213","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

Hybrid Neural Network for Handwritten Mathematical Expression Recognition system 手写体数学表达式识别系统的混合神经网络

2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE) Pub Date : 2021-11-01 DOI: 10.1109/ITSS-IoE53029.2021.9615300

G. Rajesh, Rishikesh Narayanan, Karthik Srivatsan, Parthiban S, X. M. Raajini

{"title":"Hybrid Neural Network for Handwritten Mathematical Expression Recognition system","authors":"G. Rajesh, Rishikesh Narayanan, Karthik Srivatsan, Parthiban S, X. M. Raajini","doi":"10.1109/ITSS-IoE53029.2021.9615300","DOIUrl":"https://doi.org/10.1109/ITSS-IoE53029.2021.9615300","url":null,"abstract":"The mathematical expression is an essential part of every domain they provide the mathematical explanation for one’s theory. The technological advancement in the domain of artificial intelligence has aided in various handwritten recognition systems such as handwritten mathematical expression recognition. Symbol recognition and structural analysis are two major obstacles in handwritten mathematical expression recognition. In this paper, we propose a hybrid neural network algorithm called validator, tracker, attention, and parser (VTAP). The hybrid neural network algorithms like CRNN is a blend of recurrent neural network (RNN) and convolutional neural network (CNN). It has shown better and more accurate outputs than the native CNN and RNN algorithms alone. CROHME dataset is used, which is the most widely used dataset. The recognition is divided into 4 parts validator, tracker, attention, and parser (VTAP). A tracker is equipped with a group of Bi-Directional Recurrent Network (BRNN) with the Gated Recurrent Unit (GRU). Succeeded by a tracker, the parser uses a GRU lead by guided hybrid attention. The accuracy and the time complexity of VTAP is compared with existing work Tracker, Attention and Parser (TAP), VTAP shows up to 92.2% of accuracy while TAP shows an accuracy of 89%.","PeriodicalId":230566,"journal":{"name":"2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125363660","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 Robust Invariant Image-Based Paper-Currency Recognition Based on F-kNN 基于F-kNN的鲁棒不变图像纸币识别

2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE) Pub Date : 2021-11-01 DOI: 10.1109/ITSS-IoE53029.2021.9615287

Gurjot Singh Sodhi, Jasjot Singh Sodhi

{"title":"A Robust Invariant Image-Based Paper-Currency Recognition Based on F-kNN","authors":"Gurjot Singh Sodhi, Jasjot Singh Sodhi","doi":"10.1109/ITSS-IoE53029.2021.9615287","DOIUrl":"https://doi.org/10.1109/ITSS-IoE53029.2021.9615287","url":null,"abstract":"The innovation of currency recognition intends to look, distinguish and remove the noticeable just as imperceptible subtleties on paper-money for effective classification of currency. Many a times, currency notes are hazy or harmed; a considerable lot of them have complex structures as well. This makes the assignment of currency recognition troublesome. Currency recognition is applied in order to diminish the human influence, put resources into this procedure. So it is essential to choose the correct highlights and legitimate calculation for this reason. This work presents a framework for automated currency notes recognition utilizing supervised image processing strategies. This work is critical considering the mentioned dimensions, namely, a) They got worn-out ahead of their schedule in comparison to coins; b) The possibility of joining wear-out currency is more noteworthy than that of coin currency; c) Coin currency is restricted to lesser population. We have to actualize a calculation which should be straightforward, less mind-boggling and profoundly effective. Recognition of Paper-Currency is significant in the zone of pattern recognition. Image processing is used to acquire the final outcome, with accuracy of 51.0%, 56.8%, 65.6% for the Decision Tree, SVM, Fine-KNN classifiers respectively.","PeriodicalId":230566,"journal":{"name":"2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124652695","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

Nomadic People Optimizer for IoT Combinatorial Testing Problem 物联网组合测试问题的游牧人优化器

2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE) Pub Date : 2021-11-01 DOI: 10.1109/ITSS-IoE53029.2021.9615325

Abdulrahman A. Alsewari

引用次数: 1

Computation Offloading Algorithms In Vehicular Edge Computing Environment: A Survey 车辆边缘计算环境下的计算卸载算法研究

2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE) Pub Date : 2021-11-01 DOI: 10.1109/ITSS-IoE53029.2021.9615338

Sarah Talal, Walid M. Yousef, Belal A. Al-fuhaidi

引用次数: 6

Arabic Poetry Meter Categorization Using Machine Learning Based on Customized Feature Extraction 基于自定义特征提取的机器学习阿拉伯诗歌韵律分类

2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE) Pub Date : 2021-11-01 DOI: 10.1109/ITSS-IoE53029.2021.9615302

F. Alqasemi, Salah Al-Hagree, Nail Adeeb Ali Abdu, Baligh M. Al-Helali, G. Al-Gaphari

{"title":"Arabic Poetry Meter Categorization Using Machine Learning Based on Customized Feature Extraction","authors":"F. Alqasemi, Salah Al-Hagree, Nail Adeeb Ali Abdu, Baligh M. Al-Helali, G. Al-Gaphari","doi":"10.1109/ITSS-IoE53029.2021.9615302","DOIUrl":"https://doi.org/10.1109/ITSS-IoE53029.2021.9615302","url":null,"abstract":"Text mining applications became important in various intelligent tasks. Text documents are the most materials that record many important procedures in various worldwide organizations and different people cultures. Text poetry is an important type of people culture and education domains media. Arabic text poems classification is a few experimented fields, however, it has an important presence and special influence. Both new and ancient Arabic poetry has the same unique approach for rhythmical harmony measure, which can be used for identifying Arabic poems types. Deep learning as a machine learning method has many distinctive achievements in many areas, as well as, text classification tasks. In this paper, Arabic poetry text is categorized. A customized feature selection is proposed, which is fused with a clustering technique for enhancing models efficiency. Deep learning has experimented alongside two popular machine learning techniques; support vector machine and decision tree. The proposed feature extraction method has achieved high accuracy with all three techniques. The results are better than many related works.","PeriodicalId":230566,"journal":{"name":"2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127217337","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

An IEEE Xplore Database Literature Review Concerning Internet of Everything During 2020-2021 2020-2021年关于万物互联的IEEE数据库文献综述

2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE) Pub Date : 2021-11-01 DOI: 10.1109/ITSS-IoE53029.2021.9615285

F. Alqasemi, Salah Al-Hagree, R. Q. Shaddad, Ammar T. Zahary

{"title":"An IEEE Xplore Database Literature Review Concerning Internet of Everything During 2020-2021","authors":"F. Alqasemi, Salah Al-Hagree, R. Q. Shaddad, Ammar T. Zahary","doi":"10.1109/ITSS-IoE53029.2021.9615285","DOIUrl":"https://doi.org/10.1109/ITSS-IoE53029.2021.9615285","url":null,"abstract":"For communication and computing sciences researchers, the Internet of Everything (IoE) is one of the most attractive topics. It is the field that represents the interconnection between the internet of things (IoT) and people's need for several kinds of technological services. Thus, some literature considers the modern ages as the IoE era. Smart city, 5G, and 6G become part of IoE vocabularies list, besides many techniques and applications that have been utilized by researchers for conducting IoE business and academic projects. In this study, IoE directions have been explored, so papers that have IoE in IEEE Xplore’s indexed terms have been investigated. Retrieved papers have been categorized and systematically reviewed. Diverse perspectives have been studied statistically, presented visually, and papers’ directions are reviewed carefully. The relations between categories have been counted and available information about the IoE world is introduced, the main goal was discovering IoE methods and applications, that have been presented from 2020 to 2021.","PeriodicalId":230566,"journal":{"name":"2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129286404","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

A Tool Model Group (TMG) Development to Enhance Student Performance 开发工具模型小组（TMG），提高学生成绩

2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE) Pub Date : 2021-11-01 DOI: 10.1109/ITSS-IoE53029.2021.9615351

R. M. Tawafak, Abdulrahman A. Alsewari, S. I. Malik, Ghaliya Alfarsi

引用次数: 2