2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)最新文献_第9页

Hybridization of Wavelet Decomposition and Machine Learning for Brain Waves based Emotion Recognition 基于小波分解和机器学习的脑电波情感识别

2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) Pub Date : 2023-01-23 DOI: 10.1109/ICAISC56366.2023.10085288

Mirna Ali, S. Qaisar, Tamanna Anurulafchar

引用次数: 0

The Roles of Stakeholders in Internet of Things: A Theoretical Framework 利益相关者在物联网中的角色:一个理论框架

2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) Pub Date : 2023-01-23 DOI: 10.1109/ICAISC56366.2023.10085486

Latifah S. Almalki, Amany Alnahdi, Tahani Albalawi

引用次数: 1

Autoresponder using Chatbot for Educational Services Autoresponder使用聊天机器人的教育服务

2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) Pub Date : 2023-01-23 DOI: 10.1109/ICAISC56366.2023.10084956

Thikraa Mohammed Alharethi

{"title":"Autoresponder using Chatbot for Educational Services","authors":"Thikraa Mohammed Alharethi","doi":"10.1109/ICAISC56366.2023.10084956","DOIUrl":"https://doi.org/10.1109/ICAISC56366.2023.10084956","url":null,"abstract":"The Internet of Things (IoT) has had a significant impact on human existence. This branch of study will lead to the creation of technology and concepts that will enable humans to communicate with machines. that is specifically developed it for a specific job. Students and faculty members need to have access to educational service. When learning became fully electronic, during the Corona pandemic, every effort was made to strengthen services such as technical support and access to education materials. Chat bot is the most popular feature on Telegram which allows a third party or user to design bot functionalities based on user requirements. As a result, autoresponder messages can help solve a variety of issues, including searching for educational sources, accessing technical support channels, and FAQs, and easing the heavy burden on technical support that occurred during the COVID-19 pandemic. By developing this service, you may get reply by essential information to lecturers, students, and the academic community while saving time and handling many requests concurrently. Where the service has been developed to be available 24 hours to provide all data and access links directly without having to search for them.","PeriodicalId":422888,"journal":{"name":"2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130347237","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

IIoT-Based Industry Transformation In Saudi Arabia 沙特基于工业物联网的产业转型

2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) Pub Date : 2023-01-23 DOI: 10.1109/ICAISC56366.2023.10085304

Wesal Melibari, Hamzah Baodhah, Nadine Akkari

{"title":"IIoT-Based Industry Transformation In Saudi Arabia","authors":"Wesal Melibari, Hamzah Baodhah, Nadine Akkari","doi":"10.1109/ICAISC56366.2023.10085304","DOIUrl":"https://doi.org/10.1109/ICAISC56366.2023.10085304","url":null,"abstract":"The main idea behind Industry 4.0 was to enable the interaction of the physical and digital worlds and promote automation to increase the productivity and efficiency of operations. From this standpoint, Saudi Arabia has adopted the concept of the Fourth Industrial Revolution, given the compatibility of the goals and ambitions of Vision 2030 related to the Saudi industry with the pioneering technologies of the Fourth Industrial Revolution and the principles of the Fifth Industrial Revolution that will shortly take place. To achieve the purpose of the Fourth Industrial Revolution, the Industrial Internet of Things (IIoT) is the primary technology that acts as a bridge to intelligently connect and communicate both the real and virtual worlds in the industry. To shape and clarify the path of the Saudi industry towards 2030, the future of the Saudi industry in terms of the Industrial Internet of Things will be investigated through this paper. An overview of the transformation of the industrial sectors such as energy, mining, industry, and logistics towards deploying IIoT will be provided, and the benefits brought by this technology to the industry will be discussed. The main contribution of this paper is to study the development of the Internet of Things and the transformation of industry in the Kingdom of Saudi Arabia, in addition to the emergence of the Fifth Industrial Revolution and the driving technologies behind the vision of the industry development and its implementations in the Kingdom to keep pace with the Fifth Industrial Revolution.","PeriodicalId":422888,"journal":{"name":"2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121739128","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

DARIJA-C: towards a Moroccan DARIJA Speech recognition and speech-to-text Translation Corpus 摩洛哥语DARIJA语音识别和语音到文本翻译语料库

2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) Pub Date : 2023-01-23 DOI: 10.1109/ICAISC56366.2023.10085164

Maria Labied, A. Belangour, M. Banane

{"title":"DARIJA-C: towards a Moroccan DARIJA Speech recognition and speech-to-text Translation Corpus","authors":"Maria Labied, A. Belangour, M. Banane","doi":"10.1109/ICAISC56366.2023.10085164","DOIUrl":"https://doi.org/10.1109/ICAISC56366.2023.10085164","url":null,"abstract":"This paper introduces an automated collection of a speech corpus for the Moroccan Arabic dialect “Darija” (DARIJA-C) which is intended for speech-to-text translation from Moroccan Darija into classical Arabic language. The DARIJA-C corpus is designed for Moroccan Darija automatic speech-to-text translation purposes. Nevertheless, it can be useful for automatic speech recognition of this dialect. To address both scale and sustainability, the DARIJA-C project uses crowdsourcing to collect and validate speech transcriptions and translations. By providing an automatic web platform for recording speech, along with their corresponding translation by distinct unknown speakers. The first versions of the Darija-C dataset will include only the translation of Moroccan Darija speech to classical Arabic. In later versions, we will include the translation of Moroccan Darija into other international languages such as French, and English, … The goal of this work is to build the largest crowdsourced corpus of Darija speech, which to our knowledge will be the first corpus for Moroccan Darija Speech-to-text translation.","PeriodicalId":422888,"journal":{"name":"2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132655622","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

BowlingDL: A Deep Learning-Based Bowling Players Pose Estimation and Classification 基于深度学习的保龄球运动员姿态估计与分类

2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) Pub Date : 2023-01-23 DOI: 10.1109/ICAISC56366.2023.10085434

Nourah Janbi, Nada Almuaythir

{"title":"BowlingDL: A Deep Learning-Based Bowling Players Pose Estimation and Classification","authors":"Nourah Janbi, Nada Almuaythir","doi":"10.1109/ICAISC56366.2023.10085434","DOIUrl":"https://doi.org/10.1109/ICAISC56366.2023.10085434","url":null,"abstract":"Human Pose Estimation (HPE) is one of the trending areas of research among artificial intelligent research. It has gained a lot of attention due to its versatile potential applications in various domains including transportation, healthcare, gaming, augmented reality, and sports. HPE can be used to build sports analytics, personalized training, and selflearning systems which allow players, athletes, and trainers to improve the training quality by evaluating various human poses detected from images or videos. As far as we know none of the exciting works considered developing a pose estimation and classification framework for bowling players. Therefore, in this paper, we proposed a deep-learning approach for bowling players’ pose estimation and classification. It uses our proposed Bowling Deep-Learning (BowlingDL) model along with the MoveNet model for bowling players’ pose estimation and classification. The MoveNet model detects various key points in human pose and the BowlingDL model classifies the detected bowling player’s poses into five different classes. For model training and evaluation, we collected and labelled our own dataset as no dataset was found for bowling posture. Our proposed model achieved 80% accuracy for the training dataset and 83% accuracy for the testing dataset. In addition, a smart mobile application for bowling players was developed where an edge-friendly version of BowlingDL–generated using TensorFlow Lite–was deployed.","PeriodicalId":422888,"journal":{"name":"2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130229363","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

Human Activity Recognition in Smart Cities from Smart Watch Data using LSTM Recurrent Neural Networks 利用LSTM递归神经网络从智能手表数据识别智慧城市中的人类活动

2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) Pub Date : 2023-01-23 DOI: 10.1109/ICAISC56366.2023.10085688

M. Kandpal, B. Sharma, Rabindra Kumar Barik, Subrata Chowdhury, S. Patra, I. Dhaou

引用次数: 0

Features Mining and Machine Learning for Home Appliance Identification by Processing Smart meter Data 基于智能电表数据处理的家电识别特征挖掘与机器学习

2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) Pub Date : 2023-01-23 DOI: 10.1109/ICAISC56366.2023.10085074

Rabab Al Talib, S. Qaisar, Hala Fatayerji, A. Waqar

引用次数: 0

Crowdsensing Technologies for Optimizing Passenger Flows in Public Transport 优化公共交通客流的群体感知技术

2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) Pub Date : 2023-01-23 DOI: 10.1109/ICAISC56366.2023.10085515

Alena Plášilová, J. Procházka

引用次数: 0

Using Data Mining Techniques To Enhance The Student Performance. A semantic review. 使用数据挖掘技术提高学生成绩。语义回顾。

2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) Pub Date : 2023-01-23 DOI: 10.1109/ICAISC56366.2023.10084963

Abdulkream A. Alsulami, A. A. Al-Ghamdi, Mahmoud Ragab

引用次数: 0