2022 International Conference on Artificial Intelligence of Things (ICAIoT)最新文献_第6页

Neural Network and IoT-based Test Maneuver Deployment for 2 DoF Vehicle Simulator 基于神经网络和物联网的2自由度车辆模拟器测试机动部署

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121850

Bora Demirci, U. Demir, Gazi Akgün, Alper Yildirim, Mesutcan Özkan, M. C. Aküner

引用次数: 0

Data Mining Techniques for Extraction and Analysis of Covid-19 Data Covid-19数据提取和分析的数据挖掘技术

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121870

Mohamed Ghanim Al-Obadi, Hameed Mutlag Farhan, Raghda Awad Shaban Naseri, A. Turkben, Ahmed Khalid Mustafa, Ahmed Raad Al-Aloosi

引用次数: 0

On the Performance of mm-Wave Massive MIMO Multi-Carrier Modulation Technique for Vehicle-to-Vehicle Communication 车对车通信中毫米波海量MIMO多载波调制技术的性能研究

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121888

Ahmed Thair Al-Heety, Alaa Hamid Mohammed, Mostafa A. Hamood, Suhail Najm Abdullah, Qasim M. Khalaf, Ibrahim I. Alkhateeb

{"title":"On the Performance of mm-Wave Massive MIMO Multi-Carrier Modulation Technique for Vehicle-to-Vehicle Communication","authors":"Ahmed Thair Al-Heety, Alaa Hamid Mohammed, Mostafa A. Hamood, Suhail Najm Abdullah, Qasim M. Khalaf, Ibrahim I. Alkhateeb","doi":"10.1109/ICAIoT57170.2022.10121888","DOIUrl":"https://doi.org/10.1109/ICAIoT57170.2022.10121888","url":null,"abstract":"It is expected that the 5G network will cover more eventualities than what present mobile communications systems can handle. One of the primary anticipated future services is vehicle-to-vehicle (V2V) communications, which have demanding requirements at millimeter wave band frequencies. Waveforms that are spectrally confined and scalable are required to make the greatest use of the frequency resources which are currently available without interfering with nearby nodes. A common method used to reduce out-ofband emission is the filtering of OFDM. The use of OFDM results in a high Out of Band and a high Peak to Average Power Ratio (PAPR). This boosts the chances of hiring additional multicarrier waveform varieties to improve the Orthogonal frequency-division multiplexing responses. A collection of data can be transmitted simultaneously over several narrow-band subcarriers using Multi-Carrier Modulation (MCM) methods. MCM was used in this investigation in four different ways to start examining the performance of a single-user preceded mm-Wave massive MIMO wireless advancement systems: orthogonal frequency-division multiplexing, simplified frequency division multiplexing, filter bank multicarrier, and universal filtered multicarrier. These multicarrier modulation techniques rely on symbol and subcarrier filtering to reduce the effect of cyclic prefixes on the bit error rate (BER) and throughput of OFDM. Additionally, the impacts of phase noise are tested, and it is demonstrated that QAM-FBMC is phase noise resilient.","PeriodicalId":297735,"journal":{"name":"2022 International Conference on Artificial Intelligence of Things (ICAIoT)","volume":"110 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":"122326798","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

Young Driver Gaze (YDGaze): Dataset for driver gaze analysis 年轻司机凝视(YDGaze):司机凝视分析数据集

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121856

Süleyman Çeven, A. Albayrak, R. Bayir

引用次数: 0

Simulation Study of Traffic Operation in Some Roundabouts in Karbala Government 卡尔巴拉政府部分环形交叉口交通运行模拟研究

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121841

Ali Fadhlallah Hussein, H. A. Ewadh, Raid R. A. Almuhanna

引用次数: 0

Object Detection in Aerial Images : A Case Study on Performance Improvement 航空图像中的目标检测:性能改进的案例研究

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121898

Adnan Khan, Muhammad Uzair Khattak, Khaled Dawoud

{"title":"Object Detection in Aerial Images : A Case Study on Performance Improvement","authors":"Adnan Khan, Muhammad Uzair Khattak, Khaled Dawoud","doi":"10.1109/ICAIoT57170.2022.10121898","DOIUrl":"https://doi.org/10.1109/ICAIoT57170.2022.10121898","url":null,"abstract":"Object Detection (OD) in aerial images has gained much attention due to its applications in search and rescue, town planning, and agriculture yield prediction etc. Recently introduced large-scale aerial images dataset, iSAID has enabled the researchers to advance the OD tasks on satellite images. Unfortunately, the available OD pipelines and ready-to-train architectures are well-tailored and configured to be used with tasks dealing with natural images. In this work, we study that directly using the available object detectors, specifically the vanilla Faster RCNN with FPN is sub-optimal for aerial OD. To help improve its performance, we tailor the Faster R-CNN architecture and propose several modifications including changes in architecture in different blocks of detector, training & transfer learning strategies, loss formulations, and other pre-post processing techniques. By adopting the proposed modifications on top of the vanilla Faster-RCNN, we push the performance of the model and achieve an absolute gain of 4.44 AP over the vanilla Faster R-CNN on the iSAID validation set.","PeriodicalId":297735,"journal":{"name":"2022 International Conference on Artificial Intelligence of Things (ICAIoT)","volume":"13 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":"123772806","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

Investigation of High-Efficiency for Smartphone Applications 智能手机应用的高效率研究

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121882

Reem Emad Nafiaa, A. Z. Yonis

引用次数: 0

Enhanced Smart Wireless Communication by Intelligent Reflecting Surfaces (IRSs) and Measuring the Integration of Distributed Systems 利用智能反射面(IRSs)和测量分布式系统集成增强智能无线通信

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121872

M. Al-Jasim, Mesut Cevik

{"title":"Enhanced Smart Wireless Communication by Intelligent Reflecting Surfaces (IRSs) and Measuring the Integration of Distributed Systems","authors":"M. Al-Jasim, Mesut Cevik","doi":"10.1109/ICAIoT57170.2022.10121872","DOIUrl":"https://doi.org/10.1109/ICAIoT57170.2022.10121872","url":null,"abstract":"Intelligent Reflecting Surfaces (IRSs) is a structure whose electric and magnetic characteristics may be controlled to regulate the movement of electromagnetic waves. This study provides an overview of IRSs considering the increasing interest in IRS, a smart technology that uses 6G wireless communications. Most computer networks and distributed systems where cloud storage is stored have difficulty storing text files, audio files, video files, and other sorts of data. They also cannot transmit and receive such data or access it from various places. An extensive collection of scattering devices may be individually set in the IRS to cause additional phase shifts in the reflected signals. In this paper, MATLAB software was used to build a virtual network with a group of IRSs to improve the performance of cloud and distributed computing. This was done by making it faster for data to move between the sender and the receiver and by making it possible to store more data. IRSs were used once with supporting network hardware and once without supporting network hardware. Because the existence of hardware devices may create a flaw in the data transmission process owing to the challenges that these devices confront in their functioning, the suggested system was implemented with excellent results while employing IRSs without supporting hardware devices.","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":"130957161","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

An LLMS Remotely Controlled Experiment for Smart Hydro Energy Storage and Irrigation System Powered by Photo-Voltaic Array and IoT 以光伏阵列和物联网为动力的智能水力储能和灌溉系统的 LLMS 远程控制实验

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121890

Helmy M. El Zoghby, H. A. H. Hassan Hosny, M. M. Elmesalawy, Ahmed M. Abd El-Haleem

{"title":"An LLMS Remotely Controlled Experiment for Smart Hydro Energy Storage and Irrigation System Powered by Photo-Voltaic Array and IoT","authors":"Helmy M. El Zoghby, H. A. H. Hassan Hosny, M. M. Elmesalawy, Ahmed M. Abd El-Haleem","doi":"10.1109/ICAIoT57170.2022.10121890","DOIUrl":"https://doi.org/10.1109/ICAIoT57170.2022.10121890","url":null,"abstract":"Many students all over the world have faced some educational issues due to the Covid-19 epidemic. As a consequence, many educational institutes focused on shifting to an E-learning system. This paper introduces a design and implementation steps of a remotely controlled experiment representing a smart hydro energy storage and irrigation system with monitoring capability using photovoltaic power and the Internet of Things (IoT). The experiment is running within the newly proposed Laboratory Learning Management System (LLMS). The remotely controlled experiment is a smart hydro energy storage and irrigation system, where the stored water during the daytime is used at night for smart irrigation of three different types of plants based on the moisture and temperature, in addition to the amount of water that the user sets for every area. In this experiment, during the daytime, the utilities are feeding from the solar panel and battery, but at night, the utilities are feeding from the battery or the hydro turbine that converts the water potential energy to electric energy. The overall Experiment is controlled using IoT sensors and relays which are connected and driven by the parameters that the user sets and can be communicated with the system using the Internet which allows the system to be proactive and take the needed decision in the right time. The main contribution of this system’s experiment is the pumping of underground water in irrigation using a renewable and clean energy source, in addition to controlling the systems using IoT through the proposed LLMS.","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":"130963549","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

Four-Axis Stepper Motor Training Set: STM32 Microcontroller, Algorithm and Teaching Considerations 四轴步进电机训练集:STM32单片机，算法和教学注意事项

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121886

Burcu Keskin, M. S. Çelik, Ilyas Eminoglu

{"title":"Four-Axis Stepper Motor Training Set: STM32 Microcontroller, Algorithm and Teaching Considerations","authors":"Burcu Keskin, M. S. Çelik, Ilyas Eminoglu","doi":"10.1109/ICAIoT57170.2022.10121886","DOIUrl":"https://doi.org/10.1109/ICAIoT57170.2022.10121886","url":null,"abstract":"Practical training is essential in engineering education. Various applied trainings are carried out in the Department of Electrical and Electronics Engineering in order to develop engineering skills and create an engineering culture. The servo-capable (position-controlled) training set, which represents the multi-axis (complex) manufacturing process, is intended to be used in hands-on training for this purpose. Instead of the training set, which basically shows the speed and position capability of the servo motor, how to operate the servo motor, and how to take measurements, it was paid attention to design a training set to represent production processes such as drilling and screwing, etc. The STM32F series microprocessor, which is based on ARM, is used to control the motors in the training set according to the algorithm's requirements. Thanks to the training set designed in this study, undergraduate students will gain knowledge about the position control of a complex production process and the equipment (stepper motor and driver, ball screw, DC source, optical sensor and limit switch, emergency stop button, wiring and terminals) in the set. The theoretical knowledge gained in the course will be transformed into practice. As a result, it will meaningfully contribute to the development of undergraduate students' engineering skills. In the future work, it is aimed to make the training set compatible with the IoT technology.","PeriodicalId":297735,"journal":{"name":"2022 International Conference on Artificial Intelligence of Things (ICAIoT)","volume":"2012 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":"128886142","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