2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)最新文献_第5页

An Implementation of A Bus Following Model in an 802.11p Based Simulator in MATLAB 总线跟踪模型在基于802.11p的模拟器中的MATLAB实现

2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) Pub Date : 2023-01-23 DOI: 10.1109/ICAISC56366.2023.10085008

Felipe Inigo Xavier Reyes Gan, G. Mayuga, Luke Bennett King Lao, E. Magsino

{"title":"An Implementation of A Bus Following Model in an 802.11p Based Simulator in MATLAB","authors":"Felipe Inigo Xavier Reyes Gan, G. Mayuga, Luke Bennett King Lao, E. Magsino","doi":"10.1109/ICAISC56366.2023.10085008","DOIUrl":"https://doi.org/10.1109/ICAISC56366.2023.10085008","url":null,"abstract":"Tailored to address the lack of communications systems between bus and bus stops, this paper explores the use of IEEE 802.11p, a form of Dedicated Short Range Communication (DSRC), for communication in a Bus Rapid Transit (BRT) system using MATLAB through modification of an existing application Vehicle Ad-Hoc Network (VANET) Toolbox. Adding a bus mobility model and a bus entity, a Bus-Following model (BFM) is employed within a single lane setup following the BRT system. Multiple test simulations were conducted, varying in number of buses, bus stops, and information messages. Graphical representations of the communications as well as the generated information messages show that the system works according to the intended design. The simulator was also tested to the scale of a major Philippine road using the latest available passenger inflow and outflow data. The results show that communications between bus and bus stops were within acceptable parameters for latency and Packet Delivery Ratio while also showing that a bus to bus stop ratio of 2:1 was not sufficient to handle the passenger flow of EDSA during the 7AM rush hour. Overall, a verified simulator within the open-source VANET Toolbox is presented.","PeriodicalId":422888,"journal":{"name":"2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)","volume":"38 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":"121699691","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

Process SDLC-GDPR: Towards the Development of Secure and Compliant Applications SDLC-GDPR进程:迈向安全和合规应用程序的开发

2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) Pub Date : 2023-01-23 DOI: 10.1109/ICAISC56366.2023.10085308

Michele B. Freitas, V. M. Araujo, J. Magalhães

{"title":"Process SDLC-GDPR: Towards the Development of Secure and Compliant Applications","authors":"Michele B. Freitas, V. M. Araujo, J. Magalhães","doi":"10.1109/ICAISC56366.2023.10085308","DOIUrl":"https://doi.org/10.1109/ICAISC56366.2023.10085308","url":null,"abstract":"With the full application of the General Data Protection Regulation (GDPR) in the EU on 25 May 2018, data protection by design and by default become a legal obligation. The GDPR requires organizations to adapt how they handle and protect personal and sensitive data. Explicit consent for data collection and processing, report security problems affecting personal data and the appointment of a data controller (DPO) has become mandatory and is already being complied with. However, issues like security by default and by design, from a practical perspective, are still taking the first steps. In this paper we propose a process to support the software development with the essential requirements for obtaining protection and privacy in personal data. The encompasses six procedures, aligned with the SDLC cycle. Each procedure is composed of activities and reference documents. By adopting a process like we propose, organizations achieve greater compliance between the software and the GDPR, contributing to the personal data protection, as well as, the reduction of potential fines and protection against possible financial and trust/reputation losses.","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":"130217727","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

Accidental Face Recognition and Detection Using Machine Learning 基于机器学习的意外人脸识别与检测

2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) Pub Date : 2023-01-23 DOI: 10.1109/ICAISC56366.2023.10085152

Ashish Sharma, Piyansh Agrawal, Krishan, B. Sharma, I. Dhaou

{"title":"Accidental Face Recognition and Detection Using Machine Learning","authors":"Ashish Sharma, Piyansh Agrawal, Krishan, B. Sharma, I. Dhaou","doi":"10.1109/ICAISC56366.2023.10085152","DOIUrl":"https://doi.org/10.1109/ICAISC56366.2023.10085152","url":null,"abstract":"The data collected from all the States and Union Territories has been compiled in the Publication, according to the ministry of road transport and roads transport research wing. The total number of accident-related deaths in 2018 was 1,51,417, which is a 2.3 percent increase over 2017. Around 85% of accident-related deaths occur in the 18-60 age range, which is the most productive. Road traffic fatalities not only inflict the relatives of the victims considerable emotional suffering, but they also cost the nation a lot of money. In this data maximum hazard happens due to delayed response of family and friends as they are unknown of the situation of the sight of the accident. Also, several cases remain unreported. Our objective is to reduce this number to make our nation strong and prosper. In this current research we are committed to creating a social network where road accidents can be reported quickly to family and friends, so the delayed response can be reduced. The practice of associating a person with a picture has become increasingly common thanks to the media. However, it is less resistant to retinal and fingerprint scanning. The face detection and recognition module created for the current research is described in this paper. Face detection will be performed using Haar-Cascades, while face identification will be performed using Eigenfaces, Fisher faces, and local binary pattern histograms.","PeriodicalId":422888,"journal":{"name":"2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)","volume":"25 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":"129075741","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

Rechargeable Battery State Estimation Based on Adaptive-Rate Processing and Machine Learning 基于自适应速率处理和机器学习的可充电电池状态估计

2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) Pub Date : 2023-01-23 DOI: 10.1109/ICAISC56366.2023.10085242

Afnan Alyoucef, S. Qaisar, Meriem Hafsi

{"title":"Rechargeable Battery State Estimation Based on Adaptive-Rate Processing and Machine Learning","authors":"Afnan Alyoucef, S. Qaisar, Meriem Hafsi","doi":"10.1109/ICAISC56366.2023.10085242","DOIUrl":"https://doi.org/10.1109/ICAISC56366.2023.10085242","url":null,"abstract":"The generalization of the use of electronic systems and their integration in industrial systems and different aspects of modern life (internet of things, electric vehicles, robotics, smart grids), give rise to new challenges related to the storage and optimized management of energy. Lithium-on batteries perfectly meet this objective due to their good qualities such as high energy density, small installation size, low self-discharge and high supply capacity. However, their wide application requires further research on battery failure prediction and health management. Intelligent “battery management systems” (BMSs) employ the real-time estimation and control algorithms to improve the battery safety while enhancing its performance. Nevertheless, BMS are complex and require increased processing power which could lead to more power consumption. In this context, the present article provides a new approach for efficient prediction of the “Lithiumion” (Li-ion) battery cells capacities by analysing and exploiting the battery parameters, acquired by an event-driven module. It acquires the intended cells voltages, currents and temperature values during the charge-discharge cycles. The solution is based on the machine learning algorithms and event-based segmentation. The “National Aeronautics and Space Administration” (NASA) has provided a high-power Li-Ion cells dataset for the purpose of research and innovation. This dataset is used to test and evaluate the suggested approach. The evaluation of the overall performance of the chain has shown encouraging results of the proposed approach.","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":"129745621","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

Bayesian Optimization based Hyperparameter Tuning of Ensemble Regression Models in Smart City Air Quality Monitoring Data Analytics 智慧城市空气质量监测数据分析中基于贝叶斯优化的集成回归模型超参数整定

2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) Pub Date : 2023-01-23 DOI: 10.1109/ICAISC56366.2023.10085504

Saptarshi Das, Ahmed Alzimami

引用次数: 1

Real Time Prediction Model for Air Pollution and Air Quality Index based on Machine Learning 基于机器学习的空气污染与空气质量指数实时预测模型

2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) Pub Date : 2023-01-23 DOI: 10.1109/ICAISC56366.2023.10085379

Rakesh Kumar, B. Sharma, S. Shekhar, I. Dhaou, S. Singhal

{"title":"Real Time Prediction Model for Air Pollution and Air Quality Index based on Machine Learning","authors":"Rakesh Kumar, B. Sharma, S. Shekhar, I. Dhaou, S. Singhal","doi":"10.1109/ICAISC56366.2023.10085379","DOIUrl":"https://doi.org/10.1109/ICAISC56366.2023.10085379","url":null,"abstract":"Controlling air pollution is a difficult issue for governments in densely populated and developing nations. The burning of fossil fuels, industrial parameters and traffic assume critical parts in contamination of air. There is distinctive particulate matter which decide the nature of the air however among all the particulate matter, consideration towards particulate matter (PM 2.5) is become a necessity. In this paper we detect the PM value using image processing technology. Image processing uses edge detection and depth estimation techniques to get the contaminated regions of the picture. Accordingly, image processing is used to detect air pollution. It detects and quantifies contamination in the air with the image features like time, day/night, outdoor conditions for determining the correlation. The proposal uses the learning model based on these parameters to predict PM level on collected photos. High-level of PM can cause major issues on individuals’ wellbeing. As a result, regulating it by just being vigilant on its overall visibility is critical. This paper proposes a method for identifying and evaluating PM contamination by distinguishing six image features: transmission, sky perfection and shading, complete and neighborhood picture difference, and picture entropy. To assess the association between PM level and numerous elements, we also analyze the time, terrain, and climate state of each image. We created a relapse model based on these data to forecast PM2.5 levels in a specific city.","PeriodicalId":422888,"journal":{"name":"2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)","volume":"116 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":"115721516","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

Governance of Information Security and Its Role In Reducing the Risk of Electronic Accounting Information System 信息安全治理及其在降低会计电子信息系统风险中的作用

2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) Pub Date : 2023-01-23 DOI: 10.1109/ICAISC56366.2023.10084976

Shahad Mohammed Alenazy, Raghad Mohammed Alenazy, Mohammed Ishaque

引用次数: 0

Towards Edge Computing for 6G Internet of Everything: Challenges and Opportunities 面向6G万物互联的边缘计算:挑战与机遇

2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) Pub Date : 2023-01-23 DOI: 10.1109/ICAISC56366.2023.10085007

A. Alawadhi, Abdullah Almogahed, E. Azrag

{"title":"Towards Edge Computing for 6G Internet of Everything: Challenges and Opportunities","authors":"A. Alawadhi, Abdullah Almogahed, E. Azrag","doi":"10.1109/ICAISC56366.2023.10085007","DOIUrl":"https://doi.org/10.1109/ICAISC56366.2023.10085007","url":null,"abstract":"The Internet of Everything (IoE)-based smart services are becoming more prominent as a result of the growing demands placed on wireless networks. Despite 5G having the ability to serve a wide range of IoE-based applications, they are unable to fully satisfy the needs of the newest intelligent systems. Therefore, 6G is the next generation for the IoT, IoE, and cellular networks, which aim to significantly improve smart services quality, such as maximum throughput and reduced latency. The number of internet-connected smart devices grows exponentially on a daily basis, resulting in Big Data. Several other cloud-based implementations use data centers as centralized servers for handling data collected by edge devices. This model places ever-increasing demands on computational infrastructure and communication, with unavoidable consequences for Experience and Quality-of-Service. By attempting to obtain cloud abilities closer to end users, edge computing is a novel technology which enables the development for 6G by attempting to overcome typical cloud weaknesses such as high latency and a lack of security. The purpose of this paper is to discuss challenges and opportunities in edge computing technology in 6G IoE.","PeriodicalId":422888,"journal":{"name":"2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)","volume":"45 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":"122996830","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: 2

Modelling and Evaluation of Renewable Integrated Grid-Connected Microgrid for Cost-Effective Energy Management 面向成本效益能源管理的可再生集成并网微电网建模与评价

2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) Pub Date : 2023-01-23 DOI: 10.1109/ICAISC56366.2023.10085461

M. Kamal, Ali Asghar, I. Ashraf

{"title":"Modelling and Evaluation of Renewable Integrated Grid-Connected Microgrid for Cost-Effective Energy Management","authors":"M. Kamal, Ali Asghar, I. Ashraf","doi":"10.1109/ICAISC56366.2023.10085461","DOIUrl":"https://doi.org/10.1109/ICAISC56366.2023.10085461","url":null,"abstract":"The world is dedicated to increasing renewable energy, achieving energy savings, and reducing greenhouse gas (GHG) production to help global efforts combat climate change. India has committed to providing access to power in rural regions using accessible renewable energy sources to reduce greenhouse gas emissions. The microgrid powered by renewable resources can meet local energy needs and add the remaining excess power to the electric grid. Additionally, it can minimize the issue of greenhouse emissions. This study examined the best grid-connected microgrid configuration and simulation for a residence in Lucknow, Uttar Pradesh, India. Using the HOMER energy application, a model is created and tested. A battery bank serves as the microgrid’s storage system, and wind turbine, photovoltaic, and diesel generators serve as its generating resources. The simulation results show that, in terms of meeting the demand for the entire load, the proposed home microgrid is more affordable than the power grid. The overall net present cost of the ideal system is computed to be ${$}$ 17,443 for the region under consideration at an energy cost of 010/kWh. Additionally, the proposed grid’s environmental effect is examined, and it is discovered that the architecture of the proposed grid emits just a small amount of dangerous greenhouse gases.","PeriodicalId":422888,"journal":{"name":"2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)","volume":"21 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":"129070392","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

Hybrid grasshopper optimization algorithm with simulated annealing for feature selection using high dimensional dataset 高维数据集特征选择的模拟退火混合蚱蜢优化算法

2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) Pub Date : 2023-01-23 DOI: 10.1109/ICAISC56366.2023.10085104

Bibhuprasad Sahu, J. Ravindra, S. Mohanty, Amrutanshu Panigrahi

{"title":"Hybrid grasshopper optimization algorithm with simulated annealing for feature selection using high dimensional dataset","authors":"Bibhuprasad Sahu, J. Ravindra, S. Mohanty, Amrutanshu Panigrahi","doi":"10.1109/ICAISC56366.2023.10085104","DOIUrl":"https://doi.org/10.1109/ICAISC56366.2023.10085104","url":null,"abstract":"In the era of machine learning, microarray data play a crucial role in identifying cancer diseases. The impact of redundant and noisy features degrades the learning model’s performance. It may also increase the computational cost. The curse of dimensionality is the major concern in the case of microarray datasets. To eliminate this issue, feature selection methods play an effective role. This study proposes a hybrid filter-wrapper feature selection model using mRMR_Plus as a filter and grasshopper optimization algorithm as a wrapper. In the first stage of the proposed model, a ranked base filter mRMR_Plus is used to identify the top-ranked features from the original dataset. Cross-operator embedded simulated annealing (SA) is adopted to basic grasshopper optimization to develop a new wrapper model. The proposed model was tested with different cancer datasets to recognize the best optimal features. The result of mRMR-Plus-GO-SA is compared with different existing approaches. From the result and the comparative study, it’s noteworthy to state that the new mRMR_Plus-GO-SA filter wrapper model performs far better as compared to its counterparts in terms of the number of features selected and accuracy.","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":"129087392","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