2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)最新文献

1-trit Ternary Multiplier and Adder Designs Using Ternary Multiplexers and Unary Operators 使用三元复用器和一元运算符的1-三三元乘法器和加法器设计

2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) Pub Date : 2021-09-29 DOI: 10.1109/3ICT53449.2021.9581366

Ramzi A. Jaber, Hiba Bazzi, A. Haidar, B. Owaidat, A. Kassem

引用次数: 3

Autocorrelation for time series with linear trend 线性趋势时间序列的自相关

2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) Pub Date : 2021-09-29 DOI: 10.1109/3ICT53449.2021.9581809

Firuz Kamalov, F. Thabtah, Ikhlaas Gurrib

引用次数: 0

Design and Implementation of Intelligent Socializing 3D Humanoid Robot 智能社交三维仿人机器人的设计与实现

2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) Pub Date : 2021-09-29 DOI: 10.1109/3ICT53449.2021.9582077

A. Al-Omary, M. Akram, V. Dhamodharan

{"title":"Design and Implementation of Intelligent Socializing 3D Humanoid Robot","authors":"A. Al-Omary, M. Akram, V. Dhamodharan","doi":"10.1109/3ICT53449.2021.9582077","DOIUrl":"https://doi.org/10.1109/3ICT53449.2021.9582077","url":null,"abstract":"Social intelligence in robots is a relatively new concept. In many application areas and circumstances where robots must communicate and work with other robots or people, social and interaction capabilities have become more evident. This paper presents the design and implementation of intelligent socialized 3D humanoid robot called “RUBEX”. The designed robot was implemented by integrating different technologies and parts like 3D printing, electronical and mechanical parts and different AI and machine learning algorithms. RUBEX has very engaging, rich, and friendly dialogue and interaction with the appearance that resembles humans. In designing the robot head, 3D printer is used to manufacture a handy human like face. Servo motors and sensors are used to control robot face emotions and interaction. The robot was trained to greet people upon their recognition, interact with them and was also customized to detect the emotions and communicate accordingly with people. The intelligent socializing 3D humanoid robot was implemented successfully, tested, and validated and proved to be a successful product that can be manufactured in a large scale in future.","PeriodicalId":133021,"journal":{"name":"2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122950999","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

Classification of flower species using CNN models, Subspace Discriminant, and NCA 基于CNN模型、子空间判别法和NCA的花卉分类

2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) Pub Date : 2021-09-29 DOI: 10.1109/3ICT53449.2021.9582069

M. Yıldırım, A. Cinar, Emine Cengil

{"title":"Classification of flower species using CNN models, Subspace Discriminant, and NCA","authors":"M. Yıldırım, A. Cinar, Emine Cengil","doi":"10.1109/3ICT53449.2021.9582069","DOIUrl":"https://doi.org/10.1109/3ICT53449.2021.9582069","url":null,"abstract":"Flowers have an important place in human life. Because flowers can appear at every stage of human life. People want to know these types of flowers that they come across even in daily life. However, due to a large number of flower types, there are difficulties in recognizing these types. We used deep learning methods in this study to overcome these difficulties. Deep learning methods have been widely used in different fields recently. In this study, we used 3 different deep learning methods. In the first stage, we performed the classification process using the pre-trained Efficientnetb0, MobilenetV2 and Alexnet architectures. In the second step, we extracted the feature maps of the images in the dataset using these three pre-trained deep learning models. Then, we optimized these features using the NCA size reduction method to save time and cost. Next, we classified these optimized features in the features Subspace Discriminant classifier. In the final stage, we combined the features we obtained with three pre-trained deep learning architectures. After optimizing these combined features with the NCA method, we classified the features in the Subspace Discriminant classifier. In the first step, the highest accuracy we achieved in the three pre-trained deep learning architectures was 83.67%, while our accuracy rate was 94% in this hybrid method we recommend. This shows that our proposed model is successful.","PeriodicalId":133021,"journal":{"name":"2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123035193","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

Our Keynote Speakers 我们的主讲人

2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) Pub Date : 2021-09-29 DOI: 10.1109/3ict53449.2021.9581702

J. Hualde, Rodrigo Lopes de Barros, Rachel Garza, Nicholas M. Blaker

引用次数: 1

Fuzzy Logic based Recommendation System: Crafts to Clients Suggestion 基于模糊逻辑的推荐系统:工艺品对客户的建议

2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) Pub Date : 2021-09-29 DOI: 10.1109/3ICT53449.2021.9582050

Saber Modallal, Mamoon Hassan, Amjad Hawash

{"title":"Fuzzy Logic based Recommendation System: Crafts to Clients Suggestion","authors":"Saber Modallal, Mamoon Hassan, Amjad Hawash","doi":"10.1109/3ICT53449.2021.9582050","DOIUrl":"https://doi.org/10.1109/3ICT53449.2021.9582050","url":null,"abstract":"With the population explosion and the increasing number of different types of buildings and the variety of their related facilities, the need for rapid proper searching of craftsmen to make new installations and/or make some repairs is also increased. Usually, people seek close, reasonable wages, and professional craftsmen to make some repairs or installations. Searching for such craftsmen is not an easy task with the increase of population in countries as well as the lack of related and accurate information. In this work, we are suggesting a fuzzy logic-based recommendation system embedded within a web-based database application. The system enables clients (customers) to manually search for craftsmen as well as the ability of the system to suggest craftsmen to clients according to the professionalism of craftsmen and their closeness, all ranked in descending order. Since manual searching for craftsmen is also not an easy task, the recommendation system is able to suggest the most suitable craftsmen to clients according to their needs. The experimental tests at the end of the work emphasize the importance of using a recommendation system instead of the manual search of craftsmen by comparing the manual and the fuzzy-based craftsmen searching in terms of time and effort.","PeriodicalId":133021,"journal":{"name":"2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124679869","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 Homomorphic Cloud Framework for Big Data Analytics Based on Elliptic Curve Cryptography 基于椭圆曲线密码的大数据分析同态云框架

2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) Pub Date : 2021-09-29 DOI: 10.1109/3ICT53449.2021.9582001

Z. Salman, M. Hammad, A. Al-Omary

引用次数: 2

The role of Internet of Things, Blockchain, Artificial Intelligence, and Big Data Technologies in Healthcare to Prevent the Spread of the COVID-19 物联网、区块链、人工智能和大数据技术在医疗保健中预防COVID-19传播的作用

2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) Pub Date : 2021-09-29 DOI: 10.1109/3ICT53449.2021.9581469

Mahmood A. Bazel, Fathey Mohammed, Mogeeb Alsabaiy, H. Abualrejal

{"title":"The role of Internet of Things, Blockchain, Artificial Intelligence, and Big Data Technologies in Healthcare to Prevent the Spread of the COVID-19","authors":"Mahmood A. Bazel, Fathey Mohammed, Mogeeb Alsabaiy, H. Abualrejal","doi":"10.1109/3ICT53449.2021.9581469","DOIUrl":"https://doi.org/10.1109/3ICT53449.2021.9581469","url":null,"abstract":"The spread of new coronavirus pandemic (COVID-19) has led to a major crisis in the economic and health sector, which required prompt response by medical personnel, health organizations, scientists, as well as the government sector. Globally, health care institutions have been affected greatly and unexpectedly by this COVID-19 pandemic put the current systems of healthcare under tremendous pressures, and at their maximum capabilities and resources in order to provide medical services to those infected. In this global health emergency situation and given the current limited healthcare resources, the necessity of finding quick and innovative solutions has been required. As a result, using new technologies to struggle COVID-19 and meeting the pandemic's specified requirements, such as detecting, monitoring, diagnosing, screening, surveillance, tracking, and raising awareness, has become unavoidable. The focus of this research is to understand how the healthcare system use these new technologies to fight against the pandemic. This paper provides a guideline to practitioners on the benefits and application areas of Artificial Intelligence, Internet of things, Blockchain, and Big data technologies in the healthcare industry to face the crisis caused by this pandemic. A detailed analysis of strengths, weaknesses, opportunities, and threats for the thorough implementation of these technologies has been conducted. Also, the paper addresses the obstacles to adopt these technologies in the healthcare systems and make some recommendations for future studies. The paper assists researchers, experts, and readers in recognizing how the use of technology is aiding in the management of the coronavirus infection in a synergistic manner, as well as encourage the need for these techniques in existing and potential times of emergency","PeriodicalId":133021,"journal":{"name":"2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121332010","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

Verified Framework for Distributed Processing Cost Reduction using Excess Cloud Resources 利用多余的云资源降低分布式处理成本的验证框架

2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) Pub Date : 2021-09-29 DOI: 10.1109/3ICT53449.2021.9581879

A. Alalawi, A. Al-Omary

引用次数: 0

Generative Adversarial Networks (GAN) for Arabic Calligraphy 阿拉伯书法的生成对抗网络(GAN)

2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) Pub Date : 2021-09-29 DOI: 10.1109/3ICT53449.2021.9581388

Mahmood Abdulhameed Ahmed, Mohsen Ali, Jassim Ahmed Jassim, H. Al-Ammal

引用次数: 0