2022 International Conference on Artificial Intelligence of Things (ICAIoT)最新文献_第3页

A System for Traceability of Agricultural Products Based on Two-Dimensional Barcoding 基于二维条码的农产品溯源系统

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121857

Bin-hai Wu, Chaowei Wang, Kaihua Du

引用次数: 2

Optimization of the Number and Placement of Routers in Wireless Mesh Networks 无线网状网络中路由器数量和布局的优化

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121861

Mohammed Sadeq Ali Ali, Mesut Cevik

{"title":"Optimization of the Number and Placement of Routers in Wireless Mesh Networks","authors":"Mohammed Sadeq Ali Ali, Mesut Cevik","doi":"10.1109/ICAIoT57170.2022.10121861","DOIUrl":"https://doi.org/10.1109/ICAIoT57170.2022.10121861","url":null,"abstract":"Wireless Mesh Networks (WMNs) are a new type of wireless network that has been growing in popularity. These networks consist of routers and clients. The routers are called mesh routers (MRs) and the clients are called mesh clients. WMNs have several advantages over traditional wireless networks, such as more reliable coverage and faster speeds. Many different types of algorithms can be used to determine the best placement for these routers, with some algorithms being better than others depending on the environment or situation. One algorithm is called a Genetic Algorithm (GA), which uses genetic programming to find an optimal solution for router placement. GA is used to find the best placement of the router so that it can provide the most coverage possible for a specific area GA or evolutionary algorithms are based on a biological theory known as Darwin”s theory. In evolutionary algorithms, it is since the information of the problem becomes chromosomes, and then the problem is solved by special problem-solving techniques in the evolutionary algorithm. The suggested method was implemented utilizing the C++ programming environment and the NS2 software suite. Using a benchmark of produced instances, the experimental outcomes have been analyzed. Variable sets of produced instances ranging in size from small to big have been explored. Consequently, several properties of WMNs, including the topological placement of mesh clients, have been recorded.","PeriodicalId":297735,"journal":{"name":"2022 International Conference on Artificial Intelligence of Things (ICAIoT)","volume":"20 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":"129377183","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

Responsible Artificial Intelligence Development: the Role of Organizational Culture and Perceived Organizational Justice 负责任的人工智能发展:组织文化和组织公平感的作用

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121859

Maryam Mohammadabbasi, Rahele Moharrami, S. Jafari

{"title":"Responsible Artificial Intelligence Development: the Role of Organizational Culture and Perceived Organizational Justice","authors":"Maryam Mohammadabbasi, Rahele Moharrami, S. Jafari","doi":"10.1109/ICAIoT57170.2022.10121859","DOIUrl":"https://doi.org/10.1109/ICAIoT57170.2022.10121859","url":null,"abstract":"The need to use artificial intelligence (AI) in today’s life and the growth of its utilization in various fields have also increased many new challenges. Ethical challenges in the vast utilization of AI called for the progression of accountable artificial intelligence. This research aims to investigate the relationship between those organizational elements that affect the development of responsible artificial intelligence in an organization. Based on the synthesis of previous related research results, the conceptual model of the current research was developed. This research found that perceived organizational justice has a mediating role between organizational culture and the development of responsible artificial intelligence. In other words, by creating a rich organizational culture that leads to more perceived organizational justice, one can take a step toward the acceptable development of responsible artificial intelligence in an organization. Eventually, with the development of responsible artificial intelligence, we will witness the increasing benefits of artificial intelligence usage and its advantages in meeting personal and organizational needs with fewer challenges.","PeriodicalId":297735,"journal":{"name":"2022 International Conference on Artificial Intelligence of Things (ICAIoT)","volume":"194 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":"132755864","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

Face Recognition System Using Local Binary Pattern with Binary Dragonfly Algorithm to Feature Selection 基于局部二值模式的人脸识别系统与二进制蜻蜓算法进行特征选择

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121837

Ahmed Raad Al-Aloosi, Hameed Mutlag Farhan, Raghda Awad Shaban Naseri, A. Turkben, Ahmed Khalid Mustafa, Mohammed G. F. Al-Obadi

引用次数: 0

The Effect of Human Body Shadowing in ZigBee Radio Frequency Fingerprinting Identification 人体阴影在ZigBee射频指纹识别中的作用

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121819

Raya Alhajri, A. Marshall, Guanxiong Shen, M. López-Benítez, Valerio Selis, Junqing Zhang

{"title":"The Effect of Human Body Shadowing in ZigBee Radio Frequency Fingerprinting Identification","authors":"Raya Alhajri, A. Marshall, Guanxiong Shen, M. López-Benítez, Valerio Selis, Junqing Zhang","doi":"10.1109/ICAIoT57170.2022.10121819","DOIUrl":"https://doi.org/10.1109/ICAIoT57170.2022.10121819","url":null,"abstract":"Security is a major concern for the Internet of Medical Things (IoMT), however, many of these devices are limited in their capabilities. Physical layer (PHY) security measures can be used to prevent unauthorized access by exploiting intrinsic emitter characteristics such as Specific Emitter Identification (SEI), known as Radio Frequency Fingerprinting Identification (RFFI). RFFI at the IoMT is a promising approach to secure wearable Body Sensor Network (WBSN) devices. In this paper, we evaluated the effect of human body shadowing on Radio Frequency Fingerprinting Identification (RFFI) systems. Results show that shadowing has a serious impact on RFFI models. We also show that it can be mitigated by applying log-normal shadowing augmentation. Results obtained from simulations and experimental trials show that the classification accuracy increases when the multipath channel model and shadowing block size of 640 are used. A new system model for classifying devices using RFFI is then proposed. The proposed model achieved better classification accuracy when evaluated using unseen shadowed data.","PeriodicalId":297735,"journal":{"name":"2022 International Conference on Artificial Intelligence of Things (ICAIoT)","volume":"32 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":"133262777","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

Comparison of Dental Images Based on Morphology and Appearance of Teeth 基于牙齿形态和外观的牙齿图像比较

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121851

Y. S. Younis, Israa Mohammed Khudher

引用次数: 0

Enabling Digitalization in Forestry 4.0 Using ForestML 4.0-based Digital Twins 使用基于ForestML 4.0的数字孪生实现林业4.0的数字化

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121858

Jiahang Chen, J. Roßmann

{"title":"Enabling Digitalization in Forestry 4.0 Using ForestML 4.0-based Digital Twins","authors":"Jiahang Chen, J. Roßmann","doi":"10.1109/ICAIoT57170.2022.10121858","DOIUrl":"https://doi.org/10.1109/ICAIoT57170.2022.10121858","url":null,"abstract":"Today’s forest-based sector stands at a pivotal stage highlighted by the keyword sustainability and is correlated deeply with climate change, food safety, biodiversity, etc. In Europe, it is distinguished by a high degree of decentralization, technological and know-how heterogeneity, and labor intensity. Faced with the increasing complexity of distinct value-added chains, one frequently referenced approach refers to transferring the concept of Industry 4.0 into forestry, yielding Forestry 4.0. In this context, Digital Twins (DTs), 1-to-1 virtual replicas of the real world, enable novel technological solutions, processes, and individual business models. Although the concept of DTs is not unfamiliar, there is still a lack of practical examples or general software frameworks to implement model-based DTs in forestry, focusing on connectivity, interoperability, and security. Therefore, this paper proposes our software framework based on a modeling language termed ForestML 4.0. In addition, we present that the developed Internet of Things infrastructure S3I can provide DTs with connectivity and security. Finally, we provide two practical examples realized in a forestry-related research project in Germany to prove the feasibility of our framework.","PeriodicalId":297735,"journal":{"name":"2022 International Conference on Artificial Intelligence of Things (ICAIoT)","volume":"1 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":"116703512","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

Lithium Ion Battery Solar Charger Design and Simulation 锂离子电池太阳能充电器设计与仿真

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121828

Ali Riyadh Abdulmajeed Al-Tekreeti, Mesut Cevik

引用次数: 0

Serverless Computing at the Edge for AIoT Applications 面向AIoT应用的边缘无服务器计算

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121879

H. Mora, F. J. Mora-Gimeno, A. Jimeno-Morenilla, A. Maciá-Lillo, A. Elouali

引用次数: 0

A Hybrid Technique for Non-Invasive Fetal ECG Extraction and Heart Rate Estimation From the Mother’s Abdomen Signal 一种无创胎儿心电图提取和母亲腹部信号心率估计的混合技术

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121878

Vinita Yerande, Kalyani Bhole, D. Sonawane, C. Patil

{"title":"A Hybrid Technique for Non-Invasive Fetal ECG Extraction and Heart Rate Estimation From the Mother’s Abdomen Signal","authors":"Vinita Yerande, Kalyani Bhole, D. Sonawane, C. Patil","doi":"10.1109/ICAIoT57170.2022.10121878","DOIUrl":"https://doi.org/10.1109/ICAIoT57170.2022.10121878","url":null,"abstract":"A non invasive fetal electrocardiogram is used to keep track of fetal cardiac status during pregnancy from the 20th week of gestation until delivery. Obtaining of fetal ECG signal is critical, as ECG electrodes can not be placed on a direct fetal heart. Fetal ECG signal has 2–8 times less amplitude compared to the maternal ECG signal, as well it is influenced by motion artifacts, baseline wandering, and uterine contractions. So it is a challenging task to extract an accurate fetal ECG signal in noninvasive way. We proposed a hybrid method consisting of independent component analysis with adaptive filtering to extract fetal ECG signals from mixed signals and to filter out the noise. Pan-Tompkins algorithm measures fetal heartbeats and mother heartbeats. Proposed algorithm is verified by using physionet abdominal and direct fetal ECG (ADFECGDB) database. We obtained a reference fetal heartbeat from direct fetal scalp recording to compare with the extracted fetal heart rate. We have achieved 18.09 dB SNR value. The implemented method gives the advantage of knowing fetal cardiac status in the early phase.","PeriodicalId":297735,"journal":{"name":"2022 International Conference on Artificial Intelligence of Things (ICAIoT)","volume":"1 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":"129567499","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