2022 International Conference on Artificial Intelligence of Things (ICAIoT)最新文献_第8页

Object Constraint Language for Modelling Computer Games 面向计算机游戏建模的对象约束语言

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121868

Sazan Kamal Sulaiman, Rawshan N. Othman

{"title":"Object Constraint Language for Modelling Computer Games","authors":"Sazan Kamal Sulaiman, Rawshan N. Othman","doi":"10.1109/ICAIoT57170.2022.10121868","DOIUrl":"https://doi.org/10.1109/ICAIoT57170.2022.10121868","url":null,"abstract":"Recent years have seen rapid gaming development. As development speeds up, game complexity rises. Software engineers are using agile methodologies to enhance output. In this paper, a meta-model-based computer gaming model is shown. The meta-model was created for design reusability, with the purpose of building codes that automatically make implementations in a well-defined manner by constructing the sections individually and independently for implementation. Early game makers had little industry or resources. Space-time game modeling aids in computer game creation describes related topics and provides a game metamodel. Hand-coded parts and regulations make it harder to adapt to different game areas. MDD is an innovative software development method. Some people think drawing is enough to build a model. Diagrams are also needed. Models must have a well-defined, abstract syntax-illustrative structure consistent with met models. Building a space-time model for games allows for model language research. Meta models and OCL can close the design-implementation gap. The code structure facilitates sorting and querying models.","PeriodicalId":297735,"journal":{"name":"2022 International Conference on Artificial Intelligence of Things (ICAIoT)","volume":"36 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":"117074121","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

Evaluation of Energy Management for Stand-Alone Fuel Cell and Photovoltaic Hybrid System Model 独立燃料电池与光伏混合系统模型的能量管理评价

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121867

Ali Taleb Albdiry, Kenan Yiğit, B. Acarkan

{"title":"Evaluation of Energy Management for Stand-Alone Fuel Cell and Photovoltaic Hybrid System Model","authors":"Ali Taleb Albdiry, Kenan Yiğit, B. Acarkan","doi":"10.1109/ICAIoT57170.2022.10121867","DOIUrl":"https://doi.org/10.1109/ICAIoT57170.2022.10121867","url":null,"abstract":"During times of peak load and when the weather is not sunny, the power produced from solar panels may become insufficient to meet consumer demand. This paper aims to present a hybrid system that uses photovoltaic cells (PV) and fuel cells (FC) to generate suitable electric power to steadily meet load demand. The hybrid system is designed to coordinate two renewable energy sources with regard to changing the rate of temperature and the sun”s radiation to continuously provide the needed energy to consumers. Since the power generated from the solar panels is used most of the time, while the fuel cell comes into operation when the solar energy is not sufficient to meet the demand for electrical energy, the Perturb and Observe system was used to monitor the maximum power generated from the solar panels. In the case of excess energy production from the solar panels, the energy is stored and used to produce hydrogen gas to feed the fuel cell. A fuel cell can be a huge source of energy production during peak load time. This system demonstrates the possibility of energy management using the hybrid system to provide power to many sectors, such as vehicles, ships, and residential consumers during the day and night on a constant basis. MATLAB /Simulink tools were used to simulate this system.","PeriodicalId":297735,"journal":{"name":"2022 International Conference on Artificial Intelligence of Things (ICAIoT)","volume":"68 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":"114679915","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

Predictive Control of a Synchronous Generator Network Using Neural Networks 基于神经网络的同步发电机网络预测控制

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121869

Abdullah Jasim Ibrahim Al-Gburi, Mesut Cevik

引用次数: 0

Optic Disc Segmentation In Human Retina Images With Meta Heuristic Optimization 基于Meta启发式优化的人眼视网膜图像视盘分割

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121896

D. Khalef, A. Turkben, Hameed Mutlag Farhan, Raghda Awad Shaban Naseri

引用次数: 0

Mouse Cursor Movement and Control using Eye Gaze- A Human Computer Interaction 使用眼睛注视的鼠标光标移动和控制-人机交互

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121742

Payel Miah, Mirza Raina Gulshan, Nusrat Jahan

{"title":"Mouse Cursor Movement and Control using Eye Gaze- A Human Computer Interaction","authors":"Payel Miah, Mirza Raina Gulshan, Nusrat Jahan","doi":"10.1109/ICAIoT57170.2022.10121742","DOIUrl":"https://doi.org/10.1109/ICAIoT57170.2022.10121742","url":null,"abstract":"An emerging technology is human computer interaction (HCI). One of the most important HCI strategies is the eye gazing method, which enables the user to operate the display without using their hands. Direct eye movement detection, template, appearance, feature, hybrid, regression, clustering 3D methods are all ways to categorize eye gaze detection techniques. Deep learning, a technology that mimics human behavior and features like speech recognition, image recognition, and language translation can make this possible. A web camera was employed in this study to capture a frame of an eye frame for mouse cursor movement. In connection with the point previously mentioned, we must first concentrate on the function of our eye. We are employing a web camera for pupil identification, which can manage the computer’s cursor. For this paper, an Aspect Ratio Eye (EAR) is determined that corresponds to the blinks of eye’s (right or left) applying the library of Mediapipe which is open source and acts as a computer vision library. You can provide smart people with crippled limbs who are having trouble using computers a chance to express their opinions. Here, the method’s objective is improving the experience of using computer for physically disabled people by assisting them in overcoming challenges using a mouse.","PeriodicalId":297735,"journal":{"name":"2022 International Conference on Artificial Intelligence of Things (ICAIoT)","volume":"15 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":"129998057","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 the Applications and Consequences of Using the Internet of Things (IoT) in the Smart Government 识别在智能政府中使用物联网(IoT)的应用和后果

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121848

Maryam Mohammadabbasi, S. Jafari, Sara Almasizadeh, Sepideh Rabiee, M. Safari

{"title":"Identifying the Applications and Consequences of Using the Internet of Things (IoT) in the Smart Government","authors":"Maryam Mohammadabbasi, S. Jafari, Sara Almasizadeh, Sepideh Rabiee, M. Safari","doi":"10.1109/ICAIoT57170.2022.10121848","DOIUrl":"https://doi.org/10.1109/ICAIoT57170.2022.10121848","url":null,"abstract":"Entering the age of communication and the emergence of intelligence has created a new change and transformation in human life. With the advent of the Fourth Industrial Revolution and the emergence of new technologies, we have gradually witnessed smartening in the field of urban, agricultural, and public service delivery. Smart government is a combination of the smart city with e-government, the capabilities provided by the Internet of Things (IoT) save time and money for individuals and organizations. It also allows people to receive smart services at any time and place to improve processes and service delivery, so the purpose of this study is to identify IoT applications and their consequences in smart government. This research has used a qualitative approach to extract the indicators from the meta-synthesis method. The indicators obtained in the two dimensions of applications and consequences of using the IoT in smart government. The extracted indicators for applications are crisis management and environmental protection, transportation management, smart city, energy, and water management. Moreover, health and health care, citizen services, policy-making and security, socio-cultural services, industry and trade, and training of human resources are the indicators obtained for the dimensions of the consequences. As a result, these indicators can guide the application of IoT technology in smart government.","PeriodicalId":297735,"journal":{"name":"2022 International Conference on Artificial Intelligence of Things (ICAIoT)","volume":"2 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":"130723395","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

Cardiac Arrhythmia Classification using Deep Convolutional Neural Network and Fuzzy Inference System 基于深度卷积神经网络和模糊推理系统的心律失常分类

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121894

Rajesh. S. Pashikanti, C. Patil, A. Shinde

引用次数: 0

Forest Fire Detection Using IoT Enabled UAV And Computer Vision 使用物联网无人机和计算机视觉进行森林火灾探测

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121881

Kheiredddine Choutri, Samiha Fadloun, Mohand Lagha, Farah Bouzidi, Wided Charef

{"title":"Forest Fire Detection Using IoT Enabled UAV And Computer Vision","authors":"Kheiredddine Choutri, Samiha Fadloun, Mohand Lagha, Farah Bouzidi, Wided Charef","doi":"10.1109/ICAIoT57170.2022.10121881","DOIUrl":"https://doi.org/10.1109/ICAIoT57170.2022.10121881","url":null,"abstract":"Owing to their rapid response capabilities, extended range and improved personnel safety, drones equipped with sensors for forest fire monitoring can process the information through sensors and IoT application. Despite this, existing drone-based forest fire detection systems still present many practical problems for their use in operational conditions. In particular, successful detection of forest fires remains difficult, given the very complicated and unstructured forest environments, the movement of UAV-mounted cameras. These negative effects can seriously cause false alarms or faulty detection. In order to perform this mission, meet the corresponding performance criteria and overcome these increasing challenges, it is essential to investigate ways to increase the probability of successful detection and improve the adaptation capabilities to various circumstances in order to improve the accuracy of the forest fire detection system. Based on the above requirements, this paper focuses on the development of reliable and accurate forest fire detection algorithms applicable to drones. For that purpose, many CNN architectures were trained and compared to detect fire. Obtained results demonstrate the accuracy of the developed system compared to traditional detection algorithms.","PeriodicalId":297735,"journal":{"name":"2022 International Conference on Artificial Intelligence of Things (ICAIoT)","volume":"30 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":"128174661","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

Data Mining And Analysis For Predicting Electrical Energy Consumption 电能消耗预测的数据挖掘与分析

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121820

Mustafa Almohammed, Hameed Mutlag Farhan, Raghad Awad Sababan Naseri, A. Turkben

引用次数: 0

Cell-Edge SINR Coverage-Aware Positioning of Intelligent Reflecting Surfaces in 6G Internet of Things Networks 6G物联网智能反射面蜂窝边缘信噪比覆盖感知定位

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121833

Mobasshir Mahbub, R. Shubair

引用次数: 0