2022 International Conference on Artificial Intelligence of Things (ICAIoT)最新文献_第2页

Sentiment Analysis with Various Deep Learning Models on Movie Reviews 基于各种深度学习模型的电影评论情感分析

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121745

M. S. Başarslan, F. Kayaalp

引用次数: 2

Forecasting Energy Consumption Using Deep Learning in Smart Cities 在智慧城市中使用深度学习预测能源消耗

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121846

Selahattin Serdar Helli, Senem Tanberk, O. Demir

{"title":"Forecasting Energy Consumption Using Deep Learning in Smart Cities","authors":"Selahattin Serdar Helli, Senem Tanberk, O. Demir","doi":"10.1109/ICAIoT57170.2022.10121846","DOIUrl":"https://doi.org/10.1109/ICAIoT57170.2022.10121846","url":null,"abstract":"Global energy demand is increasing continuously due to growth in the world population and industrial developments. In a parallel dimension, the problem of decreasing CO2 emissions in smart cities is becoming a priority. Forecasting energy consumption is essential for implementing a decarbonization plan in a smart city. The energy consumption forecasting problem has some challenges because of lacking appropriate data, including energy consumption patterns in the energy sector. In such a context, in this study, we focus on short-term time series forecasting for energy consumption tasks with comprehensive data. We employed LSTM, Transformer, XGBoost, and hybrid models to predict energy consumption via time series. The models were tested on the JERICHO-E-usage Germany dataset for Berlin, Düsseldorf, and the whole of Germany. We executed an energy consumption forecasting pipeline in our experiments to summarize Information and Communication Technology and Lighting energy types. Finally, we presented a comparative analysis between state-of-art deep learning and machine learning models (e.g., LSTM, Transformer, XGBoost), and a hybrid model. The proposed energy consumption forecasting pipeline can be applied to various countries and cities based on geographical distributions.","PeriodicalId":297735,"journal":{"name":"2022 International Conference on Artificial Intelligence of Things (ICAIoT)","volume":"118 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":"116364362","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

Advanced Frameworks Human-Type Communication Over Wireless Sensor Network 基于无线传感器网络的人机通信高级框架

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121889

S. Mohammed, M. Ilyas

{"title":"Advanced Frameworks Human-Type Communication Over Wireless Sensor Network","authors":"S. Mohammed, M. Ilyas","doi":"10.1109/ICAIoT57170.2022.10121889","DOIUrl":"https://doi.org/10.1109/ICAIoT57170.2022.10121889","url":null,"abstract":"This study intends to construct sophisticated Wireless Sensor Network topologies for real-time group collaboration. WSNs use dispersed sensors to safeguard data privacy and convey data for analysis. Medical services, postal delivery, energy companies, and industries use WSNs to monitor machines and discover faults. Weakly Connected Networks (WSNs) collect optimal application estimates and transfer them to a door so clients can understand and execute them. WSNs are crucial to human communication because they can be programmed to spot pauses and persistent attacks in ViWi: A framework for deep learning data sets for vision-assisted wireless communications. WSN direction standards describe paths between starting and ending nodes. How can these guiding principles divide the organization into more manageable segments and stimulate contact between them and their neighbors before sending information further afield? The testing industry continues to develop new libraries, methodologies, test findings, and customization possibilities. Python reduces grammatical complexity, increases efficiency compared to prearranging languages, and ensures memory safety. This cutting-edge research recognizes that memory health is an issue for modern human communication systems and has begun porting portions of their convention disentangling logic to achieve a 98.74% accuracy rate for distinguishing all interruptions within the WSN that use a parser age structure to achieve safe convention parsing.","PeriodicalId":297735,"journal":{"name":"2022 International Conference on Artificial Intelligence of Things (ICAIoT)","volume":"33 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":"123483219","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

Design and Implementation of Triple Band Notch Microstrip Antenna for Wireless Communication 无线通信用三波段陷波微带天线的设计与实现

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121864

Adil S. Abduljabbar, R. H. Thaher

{"title":"Design and Implementation of Triple Band Notch Microstrip Antenna for Wireless Communication","authors":"Adil S. Abduljabbar, R. H. Thaher","doi":"10.1109/ICAIoT57170.2022.10121864","DOIUrl":"https://doi.org/10.1109/ICAIoT57170.2022.10121864","url":null,"abstract":"Band pass antenna design, modeling, and manufacturing are all presented in this work. A triple-notched band UWB is created using slots that are about a fourth of the length of the guided wavelength at the notch frequency and by inserting an inverted U-shaped stub at the top of the patch and cutting a slot at the bottom of the radiating patch, the band rejection characteristics for the C band are attained between (4.04–4.7) GHz and (5.6–7.3) GHz, respectively. Further, from (8.5–9.2) GHz is acquired for the X band. By adjusting antenna characteristics, notch bands can be made. Epoxy was used to model and build the design, and it had a 1.6 mm thickness and a ε_r4.3 dielectric constant. Any RF/microwave communication system that has to protect many bands from interference can benefit from this kind of filter. This method also allows for cost and overall physical reductions while keeping outstanding performance. Finally, the proposed antenna with dimensions of (30 × 40 × 1.6) 〖mm〗 ^2 is created and manufactured There is a reasonable agreement between the simulated and produced measurements.","PeriodicalId":297735,"journal":{"name":"2022 International Conference on Artificial Intelligence of Things (ICAIoT)","volume":"22 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":"127545679","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

NWDAF UDI (Use-case Development Interface) for End-to-end AI Enabled 5G and Beyond Networks NWDAF UDI(用例开发接口)，用于端到端支持AI的5G及超越网络

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121746

Hale Donertasli, Madhukiran Medithe

引用次数: 0

ICAIoT 2022 Conference Organization Committee ICAIoT 2022会议组织委员会

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/icaiot57170.2022.10121897

引用次数: 0

Evaluation and Verification of NLP Datasets for the Albanian Language 阿尔巴尼亚语NLP数据集的评估与验证

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121823

Labehat Kryeziu, Visar Shehu, Agron Chaushi

引用次数: 1

Machine Learning-Based Architecture for DDoS Detection in VANETs System 基于机器学习的VANETs系统DDoS检测体系结构

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121900

Naam Alkadiri, M. Ilyas

{"title":"Machine Learning-Based Architecture for DDoS Detection in VANETs System","authors":"Naam Alkadiri, M. Ilyas","doi":"10.1109/ICAIoT57170.2022.10121900","DOIUrl":"https://doi.org/10.1109/ICAIoT57170.2022.10121900","url":null,"abstract":"With the fast and huge vehicular communication systems currently being developed, there is a clear and urgent need for advanced security. To determine whether a vehicle has been attacked, we developed a tool called the misbehavior detection system (MDS), which is intended to help the vehicle take action and minimize any potential harm from attackers. One of the most dangerous forms of attack that threaten vehicular communication systems are distributed denial of service (DDoS) attacks, and increasing the security of VANETs against such attacks is a topic that a large number of researchers are now considering, were to provide highly effective security capabilities, machine learning (ML) techniques were applied. NSL-KDD or KDD-CUP99 datasets form the basis for the greater part of the current research. Attacks on these datasets were outdated. Therefore, we used a new dataset generated by OMNeT++, Veins, and Sumo. Two different types of attacks were conducted during this simulation, and the XGBoost classifier was used to evaluate and predict MDS systems. The median F1-score for this XGBoost classifier was 99%, which represented a clear advantage over another ML method, where we used the Synthetic Minority Oversampling Technique (SMOTE) to class balance the datasets.","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":"127770973","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

A Review of Intelligent IoT Devices at the Edge 边缘智能物联网设备综述

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/ICAIoT57170.2022.10121824

Kevin Afachao, A. Abu-Mahfouz

引用次数: 0

ICAIoT 2022 Cover Page ICAIoT 2022封面页

2022 International Conference on Artificial Intelligence of Things (ICAIoT) Pub Date : 2022-12-29 DOI: 10.1109/icaiot57170.2022.10121871

引用次数: 0