Pub Date : 2023-01-23DOI: 10.1109/ICAISC56366.2023.10085100
Nesma Abd El-mawla, M. Badawy
The last three years showed global systems’ fragility in different disciplines, such as medicine, travel, and trade. Moreover, environmental changes are still happening in extreme weather phenomena, exacerbating COVID-19 in the world health sector. Therefore, the world needs to work hard in both traditional and modern technological ways to develop smart solutions for the development of smart cities to create open, interconnected networks for everyone. The focus of intense research worldwide is the development of standardized eco-friendly sensor networks enabled by IoT technology. This study presents a comprehensive overview of the challenges facing the world and humans in the current era and how modern technologies, including the Internet of Things (IoT), can make a real change in smart city development and save the global environment. These technological solutions and frameworks help to achieve innovative administration, high adaptability, better efficiency, and productivity. In particular, the paper spots light on top environmental challenges according to impact and likelihood classifications. Also, it discusses recent green technology solutions for smart city development in many applications, such as e-waste management, climate change adaptation, water crises, and natural disaster management.
{"title":"Eco-Friendly IoT Solutions for Smart Cities Development: An Overview","authors":"Nesma Abd El-mawla, M. Badawy","doi":"10.1109/ICAISC56366.2023.10085100","DOIUrl":"https://doi.org/10.1109/ICAISC56366.2023.10085100","url":null,"abstract":"The last three years showed global systems’ fragility in different disciplines, such as medicine, travel, and trade. Moreover, environmental changes are still happening in extreme weather phenomena, exacerbating COVID-19 in the world health sector. Therefore, the world needs to work hard in both traditional and modern technological ways to develop smart solutions for the development of smart cities to create open, interconnected networks for everyone. The focus of intense research worldwide is the development of standardized eco-friendly sensor networks enabled by IoT technology. This study presents a comprehensive overview of the challenges facing the world and humans in the current era and how modern technologies, including the Internet of Things (IoT), can make a real change in smart city development and save the global environment. These technological solutions and frameworks help to achieve innovative administration, high adaptability, better efficiency, and productivity. In particular, the paper spots light on top environmental challenges according to impact and likelihood classifications. Also, it discusses recent green technology solutions for smart city development in many applications, such as e-waste management, climate change adaptation, water crises, and natural disaster management.","PeriodicalId":422888,"journal":{"name":"2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)","volume":"48 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":"128102713","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}
Pub Date : 2023-01-23DOI: 10.1109/ICAISC56366.2023.10085377
Rabab Alayham Abbas Helmi, M. Johar, Muhammad Alif Sazwan Bin Mohd. Hafiz
Online phishing detection has gained significant importance, which will only grow with the amount of dependency on cyberspace, the proposed system provides an easy solution, during cases when the user is unsure about the authenticity of the website visited, they can try to copy the Uniform Resource Locator (URL) and paste the link into the online phishing detection system. Through the system process, it will help the user to identify whether given links were legitimate website or it is a phishing website. Therefore, the user will not be in a doubtful situation the whole day in wondering whether the information they gave in a certain website is safe or not. Providing complex decision with simplicity, the system will help the user to detect each variable of URL given accurately. Machine learning will not only able to detect each of the variables, but the system will also learn to determine the element of phishing inside of the URL. Two classifiers are used in order to detect the element of phishing which are Random Forest classifiers and Support Vector Machine (SVM).
{"title":"Online Phishing Detection Using Machine Learning","authors":"Rabab Alayham Abbas Helmi, M. Johar, Muhammad Alif Sazwan Bin Mohd. Hafiz","doi":"10.1109/ICAISC56366.2023.10085377","DOIUrl":"https://doi.org/10.1109/ICAISC56366.2023.10085377","url":null,"abstract":"Online phishing detection has gained significant importance, which will only grow with the amount of dependency on cyberspace, the proposed system provides an easy solution, during cases when the user is unsure about the authenticity of the website visited, they can try to copy the Uniform Resource Locator (URL) and paste the link into the online phishing detection system. Through the system process, it will help the user to identify whether given links were legitimate website or it is a phishing website. Therefore, the user will not be in a doubtful situation the whole day in wondering whether the information they gave in a certain website is safe or not. Providing complex decision with simplicity, the system will help the user to detect each variable of URL given accurately. Machine learning will not only able to detect each of the variables, but the system will also learn to determine the element of phishing inside of the URL. Two classifiers are used in order to detect the element of phishing which are Random Forest classifiers and Support Vector Machine (SVM).","PeriodicalId":422888,"journal":{"name":"2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)","volume":"23 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":"125603990","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}
Pub Date : 2023-01-23DOI: 10.1109/ICAISC56366.2023.10085286
A. Obaid, Mohamed Ksantini, Amina Turki, Abdullah Safaaldin, H. Bellaaj
The hallmark of cancer is metabolic remodelling, which offers a unique insight into the biology of the disease revealing an opportunity for gallbladder cancer identification. By conceptualising the diagnosis of gallbladder cancer as a classification problem, it is possible to assess the capacity of several Machine Learning (ML) models to distinguish between gallbladder cancer patients and healthy individuals. Some of the models that are widely used in metabolomics literature include Support Vector Machines (SVM), Random Forest (RF) classifiers, Artificial Neural Networks (ANN), and Partial Least Squares-Discriminant Analysis (PLS-DA). The use of these models with metabolomic data has been successful. However, whether using them for classification tasks is preferable to using other or more complicated ML models has not been explored. We investigate a novel strategy for classifying people with gallbladder cancer by applying a Graph-Convolutional Neural Network (G-CNN) model to a dataset of patients. The methodical biological model of metabolite interactions and pathways as links is the foundation for this approach. Our findings show that the G-CNN significantly outperforms the most commonly used techniques, in contrast to the RF, whose effectiveness is marginally less but still equivalent to our model. Our findings suggest that using G-CNNs in metabolomics research is promising, and the adoption of non-invasive methods of metabolomic data extraction may help identify gallbladder cancer. Our suggested method achieves an accuracy of 93.6%, a specificity of 97%, and an AUC of 99.2%.
{"title":"Utilizing metabolite connectivity and G-CNN to detect gallbladder cancer","authors":"A. Obaid, Mohamed Ksantini, Amina Turki, Abdullah Safaaldin, H. Bellaaj","doi":"10.1109/ICAISC56366.2023.10085286","DOIUrl":"https://doi.org/10.1109/ICAISC56366.2023.10085286","url":null,"abstract":"The hallmark of cancer is metabolic remodelling, which offers a unique insight into the biology of the disease revealing an opportunity for gallbladder cancer identification. By conceptualising the diagnosis of gallbladder cancer as a classification problem, it is possible to assess the capacity of several Machine Learning (ML) models to distinguish between gallbladder cancer patients and healthy individuals. Some of the models that are widely used in metabolomics literature include Support Vector Machines (SVM), Random Forest (RF) classifiers, Artificial Neural Networks (ANN), and Partial Least Squares-Discriminant Analysis (PLS-DA). The use of these models with metabolomic data has been successful. However, whether using them for classification tasks is preferable to using other or more complicated ML models has not been explored. We investigate a novel strategy for classifying people with gallbladder cancer by applying a Graph-Convolutional Neural Network (G-CNN) model to a dataset of patients. The methodical biological model of metabolite interactions and pathways as links is the foundation for this approach. Our findings show that the G-CNN significantly outperforms the most commonly used techniques, in contrast to the RF, whose effectiveness is marginally less but still equivalent to our model. Our findings suggest that using G-CNNs in metabolomics research is promising, and the adoption of non-invasive methods of metabolomic data extraction may help identify gallbladder cancer. Our suggested method achieves an accuracy of 93.6%, a specificity of 97%, and an AUC of 99.2%.","PeriodicalId":422888,"journal":{"name":"2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)","volume":"32 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":"131861163","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}
Pub Date : 2023-01-23DOI: 10.1109/ICAISC56366.2023.10085126
Wesal Melibari, Hamzah Baodhah, N. Akkari
Due to the rapid growth of the Internet of Things (IoT), smart cities have become a very popular trend around the world when talking about urbanization. While the smart city is powered by modern digital technologies, it is mainly based on the IoT as it is the leading technology for many smart cities’ applications. In order to satisfy the mission of smart cities, IoT is used to connect everything in the physical world with the digital one, resulting in smarter services that are reflected in the quality of living. In this paper, we present an overview of the smart city and its enabling technologies by mentioning their role to lead the future of smart cities. Moreover, the common six basic applications of smart cities with the main existing and future use cases are investigated by highlighting the role of IoT in the evolution of smart cities. Finally, this paper analyzed the challenges and solutions of IoT-based smart cities’ applications to shape future IoT applications and present future directions.
{"title":"IoT-Based Smart Cities Beyond 2030: Enabling Technologies, Challenges, and Solutions","authors":"Wesal Melibari, Hamzah Baodhah, N. Akkari","doi":"10.1109/ICAISC56366.2023.10085126","DOIUrl":"https://doi.org/10.1109/ICAISC56366.2023.10085126","url":null,"abstract":"Due to the rapid growth of the Internet of Things (IoT), smart cities have become a very popular trend around the world when talking about urbanization. While the smart city is powered by modern digital technologies, it is mainly based on the IoT as it is the leading technology for many smart cities’ applications. In order to satisfy the mission of smart cities, IoT is used to connect everything in the physical world with the digital one, resulting in smarter services that are reflected in the quality of living. In this paper, we present an overview of the smart city and its enabling technologies by mentioning their role to lead the future of smart cities. Moreover, the common six basic applications of smart cities with the main existing and future use cases are investigated by highlighting the role of IoT in the evolution of smart cities. Finally, this paper analyzed the challenges and solutions of IoT-based smart cities’ applications to shape future IoT applications and present future directions.","PeriodicalId":422888,"journal":{"name":"2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)","volume":"80 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":"131867780","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}
Pub Date : 2023-01-23DOI: 10.1109/ICAISC56366.2023.10084942
Manik Gupta, I. Dhaou, K. Garg, B. Sharma
The development and use of connected vehicles are becoming increasingly important areas of study in the wireless networking and transportation research communities. These networks can provide various services such as collision warning. Unlike other types of devices, such as hand-held devices, the vehicles’ nodes are not limited by their energy consumption and storage capacity. Therefore, the development of connected networks can be carried out with minimal resources. It is necessary to run a simulation in order to determine whether they are feasible. The availability of multiple devices and protocols has led to the creation of new utilization scenarios. Due to the complexity of the task, many simulation tools were developed during the past few years. This paper systematically reviews the current state of these tools and discusses their capabilities to evaluate the various scenarios related to the development of connected vehicles network.
{"title":"A Systematic Overview on Simulation of Connected Vehicles Infrastructure in Smart Cities","authors":"Manik Gupta, I. Dhaou, K. Garg, B. Sharma","doi":"10.1109/ICAISC56366.2023.10084942","DOIUrl":"https://doi.org/10.1109/ICAISC56366.2023.10084942","url":null,"abstract":"The development and use of connected vehicles are becoming increasingly important areas of study in the wireless networking and transportation research communities. These networks can provide various services such as collision warning. Unlike other types of devices, such as hand-held devices, the vehicles’ nodes are not limited by their energy consumption and storage capacity. Therefore, the development of connected networks can be carried out with minimal resources. It is necessary to run a simulation in order to determine whether they are feasible. The availability of multiple devices and protocols has led to the creation of new utilization scenarios. Due to the complexity of the task, many simulation tools were developed during the past few years. This paper systematically reviews the current state of these tools and discusses their capabilities to evaluate the various scenarios related to the development of connected vehicles network.","PeriodicalId":422888,"journal":{"name":"2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)","volume":"50 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":"126603732","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}
Pub Date : 2023-01-23DOI: 10.1109/ICAISC56366.2023.10085330
Muhammad Tayyab Zamir, Muhammad Asif Ayub, Jebran Khan, Muhammad Jawad Ikram, Nasir Ahmad, Kashif Ahmad
Style analysis, which is relatively a less explored topic, enables several interesting applications. For instance, it allows authors to adjust their writing style to produce a more coherent document in collaboration. Similarly, style analysis can also be used for document provenance and authentication as a primary step. In this paper, we propose an ensemble-based text-processing framework for the classification of single and multi-authored documents, which is one of the key tasks in style analysis. The proposed framework incorporates several state-of-the-art text classification algorithms including classical Machine Learning (ML) algorithms, transformers, and deep learning algorithms both individually and in merit-based late fusion. For the merit-based late fusion, we employed several weight optimization and selection methods to assign merit-based weights to the individual text classification algorithms. We also analyze the impact of the characters on the task that are usually excluded in NLP applications during pre-processing by conducting experiments on both clean and un-clean data. The proposed framework is evaluated on a large-scale benchmark dataset, significantly improving performance over the existing solutions.
{"title":"Document Provenance and Authentication through Authorship Classification","authors":"Muhammad Tayyab Zamir, Muhammad Asif Ayub, Jebran Khan, Muhammad Jawad Ikram, Nasir Ahmad, Kashif Ahmad","doi":"10.1109/ICAISC56366.2023.10085330","DOIUrl":"https://doi.org/10.1109/ICAISC56366.2023.10085330","url":null,"abstract":"Style analysis, which is relatively a less explored topic, enables several interesting applications. For instance, it allows authors to adjust their writing style to produce a more coherent document in collaboration. Similarly, style analysis can also be used for document provenance and authentication as a primary step. In this paper, we propose an ensemble-based text-processing framework for the classification of single and multi-authored documents, which is one of the key tasks in style analysis. The proposed framework incorporates several state-of-the-art text classification algorithms including classical Machine Learning (ML) algorithms, transformers, and deep learning algorithms both individually and in merit-based late fusion. For the merit-based late fusion, we employed several weight optimization and selection methods to assign merit-based weights to the individual text classification algorithms. We also analyze the impact of the characters on the task that are usually excluded in NLP applications during pre-processing by conducting experiments on both clean and un-clean data. The proposed framework is evaluated on a large-scale benchmark dataset, significantly improving performance over the existing solutions.","PeriodicalId":422888,"journal":{"name":"2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)","volume":"154 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":"116633729","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}
Pub Date : 2023-01-23DOI: 10.1109/ICAISC56366.2023.10085145
Mohamed Hassan Abdel Hamied
The increasing demand for energy consumption has led to burning a lot of fossil fuels and emitting large amounts of carbon. The electricity grid was developed to allow the production of electricity through renewable sources and the use of information and communication technology, and hence it was called the smart grid. A smart grid consists of seven domains connected to each other through an information network to exchange data for the operation of the grid. Securing this data is essential to maintain the efficient functioning of the smart grid. This article proves that the use of ESP protocol with tunnel mode in IPsec VPN is suitable for the power grid to secure communication between domains and reduce the risk of cyberattacks. Evaluation of various IPsec VPN authentication, encryption and hashing algorithms proves that AES and HMAC-SHA2 protocols are more secure than DES, 3DES, SEAL, HMAC-MD5 and HMAC-SHAI. Measurement of data throughput and communication delay between two domains shows less delay, throughput and duration occur when using plain text messages but provides no security.
{"title":"Using an IPsec VPN to Secure The Network Communication in The Smart Grid","authors":"Mohamed Hassan Abdel Hamied","doi":"10.1109/ICAISC56366.2023.10085145","DOIUrl":"https://doi.org/10.1109/ICAISC56366.2023.10085145","url":null,"abstract":"The increasing demand for energy consumption has led to burning a lot of fossil fuels and emitting large amounts of carbon. The electricity grid was developed to allow the production of electricity through renewable sources and the use of information and communication technology, and hence it was called the smart grid. A smart grid consists of seven domains connected to each other through an information network to exchange data for the operation of the grid. Securing this data is essential to maintain the efficient functioning of the smart grid. This article proves that the use of ESP protocol with tunnel mode in IPsec VPN is suitable for the power grid to secure communication between domains and reduce the risk of cyberattacks. Evaluation of various IPsec VPN authentication, encryption and hashing algorithms proves that AES and HMAC-SHA2 protocols are more secure than DES, 3DES, SEAL, HMAC-MD5 and HMAC-SHAI. Measurement of data throughput and communication delay between two domains shows less delay, throughput and duration occur when using plain text messages but provides no security.","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":"122537039","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}
Pub Date : 2023-01-23DOI: 10.1109/ICAISC56366.2023.10085598
Saliha Ayman Ahmed, Lina Sami Abouelnaga, T. Brahimi
The purpose of this paper is to conduct a comprehensive data mining, analysis, and visualization of smart cities and climate change, with a focus on development, trends, active actors, and the interrelationship between countries and active institutions. The study is based on the Scopus database and the Visualization Of Similarities Method (VOS) method between objects. Results revealed that 1653 articles were published since 1997, but 97% of these articles were published in the last 10 years alone. The top five most active countries are the USA, India, UK, Italy, and China. 20% of the total documents were in engineering, 16% in environmental science, 14% in social sciences, 12% in computer science, and 12% in energy. The overly visualization revealed that recent publications are more focused on smart cities, climate change, and energy storage with the application of AI, machine learning, deep learning, IoT, and sensors. This study shows how important it is to map the scientific landscape of smart buildings and climate change, which has unveiled an increase in research and provide a valuable tool for finding practical ways to build smart cities while fighting climate change and protecting the environment.
{"title":"Mapping the Scientific Landscape of Smart Buildings and Climate Change","authors":"Saliha Ayman Ahmed, Lina Sami Abouelnaga, T. Brahimi","doi":"10.1109/ICAISC56366.2023.10085598","DOIUrl":"https://doi.org/10.1109/ICAISC56366.2023.10085598","url":null,"abstract":"The purpose of this paper is to conduct a comprehensive data mining, analysis, and visualization of smart cities and climate change, with a focus on development, trends, active actors, and the interrelationship between countries and active institutions. The study is based on the Scopus database and the Visualization Of Similarities Method (VOS) method between objects. Results revealed that 1653 articles were published since 1997, but 97% of these articles were published in the last 10 years alone. The top five most active countries are the USA, India, UK, Italy, and China. 20% of the total documents were in engineering, 16% in environmental science, 14% in social sciences, 12% in computer science, and 12% in energy. The overly visualization revealed that recent publications are more focused on smart cities, climate change, and energy storage with the application of AI, machine learning, deep learning, IoT, and sensors. This study shows how important it is to map the scientific landscape of smart buildings and climate change, which has unveiled an increase in research and provide a valuable tool for finding practical ways to build smart cities while fighting climate change and protecting the environment.","PeriodicalId":422888,"journal":{"name":"2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)","volume":"14 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":"121523289","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}
Pub Date : 2023-01-23DOI: 10.1109/ICAISC56366.2023.10085494
Nur Khairunnisaa’ Suraidi, Nur Shafiza Che Ismail, Safinaz Mustapha
This project aims to educate children on situation of flash flood. A development of a 3D simulation of flash flood and problem solver in the situation are created. With such simulation it can assist children to visualize, understand the danger and take right action. This simulation project is designed specifically for a place rarely affected with flood such as Shah Alam, Selangor. The main target audience for this project is children age between 9 to 12 years old. The application tested on 68 children and based on the result, it can be concluded that they learn and understand the flood issue quicker with the simulation.
{"title":"Flash Flood Simulation for Assisting Children to Understand the Flood Disaster","authors":"Nur Khairunnisaa’ Suraidi, Nur Shafiza Che Ismail, Safinaz Mustapha","doi":"10.1109/ICAISC56366.2023.10085494","DOIUrl":"https://doi.org/10.1109/ICAISC56366.2023.10085494","url":null,"abstract":"This project aims to educate children on situation of flash flood. A development of a 3D simulation of flash flood and problem solver in the situation are created. With such simulation it can assist children to visualize, understand the danger and take right action. This simulation project is designed specifically for a place rarely affected with flood such as Shah Alam, Selangor. The main target audience for this project is children age between 9 to 12 years old. The application tested on 68 children and based on the result, it can be concluded that they learn and understand the flood issue quicker with the simulation.","PeriodicalId":422888,"journal":{"name":"2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)","volume":"40 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":"114338226","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}
Pub Date : 2023-01-23DOI: 10.1109/ICAISC56366.2023.10085441
Ajiya Fatima Moiz, Hassaan Moiz Khawaja, Z. Khan, Raja Sohail
This paper presents an automated solution for real time perimeter surveillance in smart cities. By using a swarm of custom-made drones, installed with surveillance payloads, which is specially designed to carry out such missions, additional advantages can be gained due to multiple drones simultaneously covering different observatory areas. These flying robots have multiple degrees of autonomy, from completely manual to fully scripted pre-planned mission execution. Moreover, they are difficult to detect due to smaller size and signature as compared to fixed wing unmanned aircraft, and even if one of them is compromised, others in the swarm can complete the mission. The real-time video received from the drone can also detect the land mapping of enemy territory and quickly provide live data for situational awareness. The present system uses a leader/follower approach based on the hierarchical swarm of four drones which is able to operate in all terrain and fly over hard to reach places carrying a limited payload which can help saving lives in time constrained missions.
{"title":"QuadSWARM: A Real-Time Autonomous Surveillance System using Multi-Quadcopter UAVs","authors":"Ajiya Fatima Moiz, Hassaan Moiz Khawaja, Z. Khan, Raja Sohail","doi":"10.1109/ICAISC56366.2023.10085441","DOIUrl":"https://doi.org/10.1109/ICAISC56366.2023.10085441","url":null,"abstract":"This paper presents an automated solution for real time perimeter surveillance in smart cities. By using a swarm of custom-made drones, installed with surveillance payloads, which is specially designed to carry out such missions, additional advantages can be gained due to multiple drones simultaneously covering different observatory areas. These flying robots have multiple degrees of autonomy, from completely manual to fully scripted pre-planned mission execution. Moreover, they are difficult to detect due to smaller size and signature as compared to fixed wing unmanned aircraft, and even if one of them is compromised, others in the swarm can complete the mission. The real-time video received from the drone can also detect the land mapping of enemy territory and quickly provide live data for situational awareness. The present system uses a leader/follower approach based on the hierarchical swarm of four drones which is able to operate in all terrain and fly over hard to reach places carrying a limited payload which can help saving lives in time constrained missions.","PeriodicalId":422888,"journal":{"name":"2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)","volume":"02 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":"124452738","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}
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