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2022 International Conference on Artificial Intelligence of Things (ICAIoT)最新文献

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Business process Execution: a contextual approach 业务流程执行:上下文方法
2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121836
Jamal El Bouroumi, Hatim Guermah, M. Nassar
{"title":"Business process Execution: a contextual approach","authors":"Jamal El Bouroumi, Hatim Guermah, M. Nassar","doi":"10.1109/ICAIoT57170.2022.10121836","DOIUrl":"https://doi.org/10.1109/ICAIoT57170.2022.10121836","url":null,"abstract":"Companies are always in competition with each other, in order to provide appropriate services to internal and external users. Therefore, they must be always innovative in order to keep their place in the market. To do so, new technologies come to help them in this race, by proposing solutions to facilitate the management of their business. Within this scope comes business process execution, which is a crucial step in the business process management life cycle., in this paper we present a new approach for business process execution that is context-awareness. We propose a SOA based architecture with multiple component that we find very important in business process execution and taking into account the context. To validate our approach, we propose a concrete case study about transport system to provide a proof of the applicability as well as the utility of the approach.","PeriodicalId":297735,"journal":{"name":"2022 International Conference on Artificial Intelligence of Things (ICAIoT)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121923895","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
Capacity Maximization of the mmWave Networks Deploying Intelligent Reflecting Surfaces: An Enhancement Approach for 6G Internet of Things 部署智能反射面毫米波网络的容量最大化:6G物联网的增强方法
2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121863
Mobasshir Mahbub, R. Shubair
{"title":"Capacity Maximization of the mmWave Networks Deploying Intelligent Reflecting Surfaces: An Enhancement Approach for 6G Internet of Things","authors":"Mobasshir Mahbub, R. Shubair","doi":"10.1109/ICAIoT57170.2022.10121863","DOIUrl":"https://doi.org/10.1109/ICAIoT57170.2022.10121863","url":null,"abstract":"An intelligent reflecting surface (IRS) is a reconfigurable mechanism that may be used to regulate the transmission of radio signals by modifying the electrical and magnetic characteristics. As a result, IRS is regarded as an advanced technology for sixth-generation (6G) Internet of Things (IoT) communications infrastructure. The objective of the work is to improve the capacity of the micro cell, i.e., enabling the micro cell base station of a two-tier network to serve an increased number of devices. Therefore, the work deployed an IRS in a micro cell and achieved significant improvements in the performance with a reduced transmit power of the micro base station.","PeriodicalId":297735,"journal":{"name":"2022 International Conference on Artificial Intelligence of Things (ICAIoT)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122628850","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
Vehicle Accident Avoidance System 车辆意外避免系统
2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121876
Sazan Kamal Sulaiman, Rawshan N. Othman
{"title":"Vehicle Accident Avoidance System","authors":"Sazan Kamal Sulaiman, Rawshan N. Othman","doi":"10.1109/ICAIoT57170.2022.10121876","DOIUrl":"https://doi.org/10.1109/ICAIoT57170.2022.10121876","url":null,"abstract":"Recently, the world is growing very fast in terms of technology. One of the main goals of technology is to make life easier. Technology plays a very important role in every life sector such as health, security, education, safety, etc. Human safety is one of the most important features that matter in the community. In this project, we present the importance and role of technology in protecting human life regarding vehicle and road safety. The aim of this project is to create a robotic vehicle that avoids accidents by detecting other nearby vehicles and then changing its path to a lane where it is safe or stopping in the worst case where there are cars in all nearby lanes. Car accidents have become one of the main causes of human death and various studies have shown that driver interference is a cause most of the car accidents. This project will be built using Arduino hardware. In the future, robots can be developed more using more accurate sensors and motors.","PeriodicalId":297735,"journal":{"name":"2022 International Conference on Artificial Intelligence of Things (ICAIoT)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123310244","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
SKNetV2: Improved Selective Kernel Networks for Object Detection SKNetV2:改进的选择性内核网络用于对象检测
2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121885
Jing Huang, Zhenxue Chen, Luna Sun, Tian Liang, Lei Cai
{"title":"SKNetV2: Improved Selective Kernel Networks for Object Detection","authors":"Jing Huang, Zhenxue Chen, Luna Sun, Tian Liang, Lei Cai","doi":"10.1109/ICAIoT57170.2022.10121885","DOIUrl":"https://doi.org/10.1109/ICAIoT57170.2022.10121885","url":null,"abstract":"The main task of object detection is to simultaneously detect all objects in an image. Detecting objects of different scales often places conflicting demands on neurons’ receptive fields, therefore, a single receptive field in each convolutional layer cannot effectively solve the problem of scale variation. In this paper, we propose SKNetV2, an improved version of Selective Kernel Networks. The realization of Selective Kernel (SK) convolution is an adaptive fusion of convolutional branches with different kernel sizes under the guidance of attention. The SK convolution considers only channel attention and ignores spatial attention, which is equally important, so the receptive fields of the neurons are still spatially fixed for the same input. We propose an SKv2 convolution that simultaneously applies spatial attention and channel attention to fuse branches of different kernel sizes and then unifies the two attention results. The cooperation of these two attention mechanisms achieves fully selectable receptive fields. We derive SKNetV2 from SKNet by replacing the SK building block with a proposed SKv2 block. We demonstrate the effectiveness of SKNetV2 through extensive experiments on the challenging MS COCO dataset. Without bells and whistles, we achieve an AP of 45.5%, which surpasses the most recently proposed detectors.","PeriodicalId":297735,"journal":{"name":"2022 International Conference on Artificial Intelligence of Things (ICAIoT)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123322891","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
Deep Learning-Based Biometric System Analysis of Palmprint Images 基于深度学习的掌纹图像生物识别系统分析
2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121874
Mohammed Jaafar Rashid Al-Majmaie, Mesut Cevik
{"title":"Deep Learning-Based Biometric System Analysis of Palmprint Images","authors":"Mohammed Jaafar Rashid Al-Majmaie, Mesut Cevik","doi":"10.1109/ICAIoT57170.2022.10121874","DOIUrl":"https://doi.org/10.1109/ICAIoT57170.2022.10121874","url":null,"abstract":"The implications, both favorable and negative, can result from the speed with which technology is progressing. An increasing number of serious crimes are being committed in cyberspace, and as a result, there has been a need for critical research into the topic of information security all over the globe. Therefore, biometric recognition systems are being used by so many businesses and government agencies today. This study applied a novel strategy for human identification based on a convolutional neural network pre-trained model called AlexNet and the wavelet transform. The suggested method took photographs of people’s hands and extracted novel and effective characteristics from them, then fed those features into an ensemble learning classifier, which used those features to divide the images into many classes, each of which represented one of the 72 people. The proposed method combined Alexnet pre-trained model combined with wavelet transform and ensemble learning. When compared to recent studies at the cutting edge, the 99.14 success rate obtained here is outstanding","PeriodicalId":297735,"journal":{"name":"2022 International Conference on Artificial Intelligence of Things (ICAIoT)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123044203","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
Identifying trends in recent publications using Data Visualization and Analytics 使用数据可视化和分析识别最近出版物的趋势
2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121862
Adrian Besimi, Nuhi Besimi, Agron Chaushi
{"title":"Identifying trends in recent publications using Data Visualization and Analytics","authors":"Adrian Besimi, Nuhi Besimi, Agron Chaushi","doi":"10.1109/ICAIoT57170.2022.10121862","DOIUrl":"https://doi.org/10.1109/ICAIoT57170.2022.10121862","url":null,"abstract":"There is an ongoing trend of applying various data analytics and visualization techniques, including AI algorithms to solve various problems. Technically in higher education defining the research gap and the research trends traditionally requires the researcher to read various articles and books in order to define what is a significant topic and one that represents a trendy topic that was recently explored and can be still explored. This process is time consuming and sometimes may lead to unnecessary overfitted results. In our previous paper we showed the importance of AI in research through a proposed model to increase the quality of research and improve the time spent and quality of content used for different research topics. This paper focuses on the same model but rather on data analytics and visualization applied on custom dataset from recent articles from IEEE Xplore to identify trends on educational research with focus on computer science.","PeriodicalId":297735,"journal":{"name":"2022 International Conference on Artificial Intelligence of Things (ICAIoT)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132994079","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
Key Transposition Cipher and Decipher based on Genetic Algorithm 基于遗传算法的密钥置换密码与解密
2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121893
Dalal N. Hamood
{"title":"Key Transposition Cipher and Decipher based on Genetic Algorithm","authors":"Dalal N. Hamood","doi":"10.1109/ICAIoT57170.2022.10121893","DOIUrl":"https://doi.org/10.1109/ICAIoT57170.2022.10121893","url":null,"abstract":"For increasing attackers and their risks in life, the two parties (sender and receiver) can be using a safe environment to send and receive the secret message by encrypting the message (unreadable message) and send to the receiver. The symmetric key algorithm is more efficient and very fast than an asymmetric key algorithm. This paper used a key transposition cipher for encrypting and decrypting messages, the key obtained by the genetic algorithm when the GA generated the best key after many iterations, and for each iteration treated the individuals by selection and crossover and mutation. The fitness function calculated the difference between letters occurrence between the plaintext and ciphertext. After testing, the proposed method’s success in passing six types of attacks when the traditional transposition fails for two attacks. Also, the proposed method is faster than traditional transposition and it is suited for use in online chatting and live communications.","PeriodicalId":297735,"journal":{"name":"2022 International Conference on Artificial Intelligence of Things (ICAIoT)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131463572","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
Incremental Donor Approach for Immune Plasma Algorithm on Solving Path Planning Problem of UCAV 基于增量供体的免疫血浆算法求解无人机路径规划问题
2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121854
Tevfik Erkin, Selçuk Aslan
{"title":"Incremental Donor Approach for Immune Plasma Algorithm on Solving Path Planning Problem of UCAV","authors":"Tevfik Erkin, Selçuk Aslan","doi":"10.1109/ICAIoT57170.2022.10121854","DOIUrl":"https://doi.org/10.1109/ICAIoT57170.2022.10121854","url":null,"abstract":"Immune Plasma algorithm (IP algorithm or IPA) that models the implementation details of a medical method popularized with the COVID-19 pandemic again known as the immune or convalescent plasma has been introduced recently and used successfully for solving different engineering optimization problems. In this study, incremental donor (ID) approach was first developed for controlling how many donor individuals will be chosen before the treatment of receivers representing the poor solutions of the population and then a promising IPA variant called ID-IPA was developed as a new path planner. For analyzing the contribution of the ID approach on the solving capabilities of the IPA, a set of experimental studies was carried out and results of the ID-IPA were compared with different well-known meta-heuristic algorithms. Comparative studies showed that controlling the incrementation of donor individuals as described in the ID approach increases the qualities of the final solutions and improves the stability of the IP algorithm.","PeriodicalId":297735,"journal":{"name":"2022 International Conference on Artificial Intelligence of Things (ICAIoT)","volume":"2011 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114668699","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
Photovoltaic Cells Anomaly Classification Using Deep Learning Techniques 基于深度学习技术的光伏电池异常分类
2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121875
Ban Jabbar Aljazairy, Mesut Cevik
{"title":"Photovoltaic Cells Anomaly Classification Using Deep Learning Techniques","authors":"Ban Jabbar Aljazairy, Mesut Cevik","doi":"10.1109/ICAIoT57170.2022.10121875","DOIUrl":"https://doi.org/10.1109/ICAIoT57170.2022.10121875","url":null,"abstract":"In recent years, solar photovoltaic (PV) systems have seen widespread use in the field of environmentally friendly energy harvesting. Additionally, the rate at which units reach the end of their useful life cycle is increasing. Heavy metals like lead, tin, and cadmium can be found in solar modules and cause environmental damage. Regular inspections and maintenance for your solar modules are essential to extending their useful life, cutting down on energy waste, and keeping the environment safe. This paper proposes a system that uses PV cell electroluminescence (EL) and deep learning techniques to efficiently screen for and categorize solar modules that exhibit anomalous behavior. Deep neural networks can accurately predict anomalies and classify types of anomalies. Using PV cell electroluminescence, we propose convolution neural network techniques based on residual network architecture and ensemble technology to accurately predict and classify anomalous solar modules.","PeriodicalId":297735,"journal":{"name":"2022 International Conference on Artificial Intelligence of Things (ICAIoT)","volume":"216 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121623571","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
Artificial Intelligence, Game Theory, Programming Used Languages and Platforms, Game Types and Training Methods 人工智能，博弈论，编程语言和平台，游戏类型和训练方法
2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121899
Fatih Sahin
{"title":"Artificial Intelligence, Game Theory, Programming Used Languages and Platforms, Game Types and Training Methods","authors":"Fatih Sahin","doi":"10.1109/ICAIoT57170.2022.10121899","DOIUrl":"https://doi.org/10.1109/ICAIoT57170.2022.10121899","url":null,"abstract":"Artificial Intelligence is one of the most sought-after branches of computer science today, and the branch of artificial intelligence tries to make machines act intelligently, enabling them to cope with more and more diverse problems on their own. Undoubtedly, one of the sectors that has the highest share in the development of artificial intelligence today is the computer games sector. The game development process has a more detailed structure every day. Artificial intelligence applications, which are a comprehensive information technology, have also affected game technologies closely. It is one of the most impressive works that are increasing day by day. Today’s computer games can even beat world chess champions and checkers. In this article, which started with this motivation, first of all, the definition of artificial intelligence was examined, and auxiliary calculation and training methods for artificial intelligence were introduced.","PeriodicalId":297735,"journal":{"name":"2022 International Conference on Artificial Intelligence of Things (ICAIoT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123881138","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
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