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2023 computer Applications and Technological Solutions, CATS 2023

作者： Hasan, Muhammad Zulkifl Hussain, Muhammad Zunnurain Mughees, Ahmed Javaid, Muhammad Ahsan Noor, Muzayan Nosheen, Summaira Mubarak, Zaima Chuhan, Saad Hussain Mustafa, Muzzamil University of Central Punjab Faculty of Information Technology Department of Computer Science Lahore Pakistan Bahria University Lahore Campus Department of Computer Science Lahore Pakistan University of Punjab Department of Economics Information Technology Lahore Pakistan National College of Business Administration & Economics Department of Computer Science DHA Campus Lahore Pakistan

ISBN: (纸本)9798350383881

Considering quick growth of technical knowledge, it is pertinent for the metropolitan stake-holders to improve the urban living standards by implementing effective policies assistance from data analysis using the Internet of Things (IoT). The IoT involves usage of various sensors for recording data that corresponds to different aspects of urban life, such as health, transport and governance. The interconnection of these sensors enables data analysts and governing bodies to decipher patterns in data, and in turn better understand the urban environments for efficient city planning, eventually creating smart cities. The design and implementation of smart cities is a hot topic nowadays in the field of urban development. This paper reviews the modern technologies that are being used to implement the smart city concept, in turn making it sustainable and more environment-friendly. The necessity of having a variety of sensing platforms for sustainable urban development is discussed. There is a discussion on different data collection and processing frameworks being deployed in smart cities, highlighting the key benefits of utilizing modern technologies like big data, cloud computing, machine learning (ML) and artificial intelligence (AI) with the IoT. The challenges encountered during these processes are also examined, which create new research opportunities. This paper will serve as a guideline for researchers working in the field of sustainable urban development using IoT along with the other modern technologies. © 2023 IEEE.

关键词： Internet of things

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Collaborative decision making system in intelligent transportation system using distributed blockchain technology

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International Journal of Vehicle information and communication Systems 2022年第1期7卷 64-81页

作者： Mohanta, Bhabendu Kumar Jena, Debasish Satapathy, Utkalika Ramasubbareddy, Somula Department of Computer Science and Engineering International Institute of Information Technology Odisha Bhubaneswar India Telangana Hyderabad India

Intelligent Transportation System (ITS) is one of the promising applications of the Internet of Things (IoT) as the IoT system provides an easy way to collect and monitor the system. One of the critical components to make a city smart is by managing the traffic. The mode of transportation in the city is different, like bike, car, bus, auto, and rickshaw. Most of the vehicles integrated with information communication technology (ICT). As the vehicles share and access the information from the ITS infrastructure, some security issue exists. The security issues are trust management, privacy, data linking, and computational problems. In this paper, the authors first identify the security issue present in the ITS model, then propose a distributed architecture of the ITS system using Blockchain. Then, the Consensus algorithm is used to perform computations in a distributed platform. Ethereum platform used to create a distributed network. The implementation and security analysis are given at the end. © 2022 Inderscience Enterprises Ltd.

关键词： Decision making

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Instructors Experience of using Cloud Computing Based Applications in Saudi Arabia 1

Instructors Experience of using Cloud Computing Based Applic...

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1st International Conference in Advanced Innovation on Smart City, ICAISC 2023

作者： Gollapalli, Mohammed Alqahtani, Bador Alghamdi, Amnah Alotaibi, Meera Department of Computer Information Systems College of Computer Science and Information Technology Imam Abdulrahman Bin Faisal University P.O. Box 1982 Dammam31441 Saudi Arabia Imam Abdulrahman Bin Faisal University College of Computer Science and Information Technology Department of Computer Science P.O. Box 1982 Dammam31441 Saudi Arabia

ISBN: (纸本)9781665472753

With the recent global spread of the COVID-19 (also known as the corona virus) pandemic, several governments have attempted to control its transmission through preventive and precautionary measures. Education is one of the factors that has been impacted by the pandemic. As a result, to limit the spread of the virus, many countries adopted distance education instead of traditional education to ensure the continuity of the educational process. Cloud computing is a technology that offers numerous advantages in the field of education. The Kingdom of Saudi Arabia was one of the countries that had decided and continues to use various cloud platforms for distance education. In this study, we look at how effective cloud computing platforms are in the learning process in Saudi Arabian schools. The primary goal of this research was to investigate the teacher's ability to access different cloud computing services, as well as their ease of use and utility, by evaluating the effectiveness of these platforms as a mode of teaching before and after the pandemic. A total of 559 male and female schoolteachers' data was collected using self-administered questionnaires in Al-Bahah region and was analyzed using the IBM SPSS Statistics software. The analysis of this study expanded our understanding on the possibility of using educational platforms across schools in the kingdom. The findings also revealed that the use of cloud platforms during the pandemic increased by 28% in the region which have now become integral part of education. Furthermore, the findings revealed that teachers frequently encountered difficulties in implementing cloud-based educational processes, particularly in rural and mountainous areas. © 2023 IEEE.

关键词： Cloud computing

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Monkeypox Disease Classification from Skin Lesion Images using Deep Convolution Neural Network 3

Monkeypox Disease Classification from Skin Lesion Images usi...

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3rd International Conference on Intelligent Systems, Advanced Computing, and communication, ISACC 2025

作者： Thangaraj, Rajasekaran Vadivel, Balasubramaniam Kumar, S. Manoj Sadesh, S. Karunakaran, P. Prakash, P. Nandha Engineering College Department of Computer Science and Engineering Erode India Sri Ramakrishna Institute of Technology Department of Computer Science and Engineering Coimbatore India KPR Institute of Engineering and Technology Department of Computer Science and Engineering Coimbatore India Velalar College of Engineering and Technology Department of Artificial Intelligence and Data Science Erode India Nandha Engineering College Department of Artificial Intelligence and Data Science Erode India Velalar College of Engineering and Technology Department of Information Technology Erode India

ISBN: (纸本)9798331523893

Recently monkeypox outbreak has raised concerns due to its increasing number of cases and diverse dermatological symptoms in 2024, which can complicate early diagnosis due to similarities with other viral infections such as measles and chickenpox. To enhance diagnostic accuracy, transfer learning models and artificial intelligence (AI) have been explored as effective tools. Pre-trained models such as VGG16, VGG19, ResNet50V2, and MobileNetV2 have been employed for monkeypox detection, each with distinct trade-offs in terms of computational efficiency and diagnostic precision. MobileNetV2 offers superior efficiency, but this comes at the cost of reduced accuracy. VGG models provide higher accuracy but require much more computational *** these models, DenseNet121 stands out by achieving 99% accuracy while requiring 37% less computational power, making it the model optimized choice for efficient and accurate monkeypox classification. © 2025 IEEE.

关键词： Transfer learning

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Explain Ability, Fairness and Trust in Data Systems and Analysis

Explain Ability, Fairness and Trust in Data Systems and Anal...

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2023 computer Applications and Technological Solutions, CATS 2023

作者： Hasan, Muhammad Zulkifl Hussain, Muhammad Zunnurain Fatima, Haniya Ayub, Malaika Nosheen, Summaira Mubarak, Zaima Chuhan, Saad Hussain Mustafa, Muzzamil University of Central Punjab Faculty of Information Technology Department of Computer Science Lahore Pakistan Bahria University Lahore Campus Department of Computer Science Lahore Pakistan Information Technology University of Punjab Department of Economics Lahore Pakistan National College of Business Administration & Economics Department of Computer Science DHA Campus Lahore Pakistan

ISBN: (纸本)9798350383881

From credit scoring algorithms to face recognition systems, data-driven technologies are already impacting our lives and choices. To guarantee that new technologies function for the advantage of everyone, rather than perpetuating prejudices and discrimination, we have to address the ability, fairness, and trustworthiness of data systems and analysis. In literature, ability of data systems and analysis is defines as the capability of data systems to capture, store, retrieve, and manipulate data in large databases. Fairness of data systems means making sure that the usage of data and analytics does not result in biased or discriminating results for individuals or organizations. Trust is an essential factor in the effectiveness and acceptability of data systems and analysis. Without trust, people may be unwilling to utilize or disclose their data with such systems, hampering their ability to give useful insights and take advantages of data systems. To analyze, the ability, fairness, and trust in data systems and analysis, researchers have used secondary, qualitative data. Researchers have used scholarly publications, research papers, and reports taken from credible and peer-reviewed research journals. Using the data, researchers came to the result that data systems analysis have enhanced decision making process and helped us to improve our productivity in daily-life activities, through its capabilities of capturing, stories, retrieving and manipulating data. Yet, there are issues regarding the fairness of data systems. While progress achieved in tackling fairness issues, trust issues concerning data systems and analysis exist owing to data breaches suffered by huge databases globally. To conclude, in order to create trust in data systems and analysis, firms need to concentrate on security, data quality, transparency and accountability of data. This requires implementing strong access limits, leveraging high-quality data sources, being transparent and honest about data

关键词： Database systems

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Utilizing Cutting-Edge Machine Vision Techniques for Swift Anomaly Detection in Suboptimal Surveillance Environments 3

Utilizing Cutting-Edge Machine Vision Techniques for Swift A...

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3rd IEEE International Conference on ICT in Business Industry and Government, ICTBIG 2023

作者： Yadav, Rakesh Kumar Veena, C.S. Sudhamsu, Gadug Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Presidency University Department of Electronics and Communication Engineering Karnataka Bangalore India Faculty of Engineering and Technology Department of Computer Science Engineering Karnataka Bangalore India

ISBN: (纸本)9798350343274

In the realm of surveillance and anomaly detection, the proposed Adaptive Multimodal Anomaly Detection (AMAD) method stands as an innovative and potent approach. The objective of this method is to detect anomalies swiftly and accurately in suboptimal surveillance environments by amalgamating state-of-the-art machine vision techniques with multimodal data fusion. The core idea revolves around leveraging advanced deep learning architectures and statistical models, thereby enhancing the performance of anomaly detection systems. The AMAD method initiates with Algorithm 1: Multimodal Data Fusion, a process that involves integrating multimodal data streams, such as visual, thermal, and infrared information, into a unified feature space. This integration is accomplished using a weighted sum approach, allowing varying importance levels to be assigned to each modality based on weights (α, β, γ). This fusion strategy proves pivotal in capturing a holistic representation of the environment. Convolutional Neural Network (CNN) for Feature Learning follows, where a CNN architecture is employed to learn robust and discriminative features from the fused data. This study showcases that AMAD, with its multimodal integration, deep learning-based feature extraction, and efficient scoring mechanism, triumphs over traditional anomaly detection techniques. It significantly contributes to enhanced anomaly detection capabilities, emphasizing its potential for bolstering public safety and security in dynamic and challenging technological landscapes. © 2023 IEEE.

关键词： Convolutional neural networks

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Automatic Road Extraction using Scale Invariant Feature Transform-based Random Forest in Satellite Images 1

Automatic Road Extraction using Scale Invariant Feature Tran...

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1st International Conference on Software, Systems and information technology, SSITCON 2024

作者： Rajesh, N. Alzubaidi, Laith H. Shivaprasad Yadav, S.G. Chembian, W.T. Prameela, Boddepalli Nitte Meenakshi Institute of Technology Department of Electronics and Communication Engineering Bengaluru India The Islamic University of Babylon Department of Computers Techniques Babylon Iraq Ramaiah Institute of Technology Department of Electronics and Telecommunication Engineering Bengaluru India Department of Computer Science and Engineering Chennai India Vignan's Institute of Information and Technology Department of Artificial Intelligence and Data Science Andhra Pradesh India

ISBN: (纸本)9798350352931

Road Extraction from High-Resolution Satellite Images (HRSI) plays a significant role in the analysis of the remote sensor image field. The extraction of road automatically labels a road's pixels in a satellite image with semantic features depending on topographical meaningful features. However, manual road extraction inaccurately extracts road networks from satellite images which has significant difficulties like complex urban environments, varying road types, and diverse image conditions. Therefore, the Scale Invariant Feature Transform-based Random Forest(SIFT-RF) is proposed for automatic road extraction in satellite images. First, the image is obtained from DeepGlobe dataset and Z-score normalization is employed to maximize model performance. Then, SIFT is established to extract the road network in satellite images. Finally, the RF is utilized to extract and classify roads as road or non-road using Machine Learning (ML). The SIFT-RF achieves a greater f1-score of 98.24% compared to existing methods like Dual-Attention Road extraction Network (DA-RoadNet), High-Resolution U-Net architecture (HRU-Net), and Global Context-aware and Batch-independent Network (GCBNet) respectively. © 2024 IEEE.

关键词： Random forests

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Cultivating Knowledge: Exploring the Impact of Virtual Reality and Augmented Reality on Education 23th

Cultivating Knowledge: Exploring the Impact of Virtual Reali...

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23rd International Conference on Intelligent Systems Design and Applications, ISDA 2023

作者： Elamrani, Lobna Moughit, Mohamed Research Team LASTI: Laboratory Science and Technology for Engineering Transmission and Communication of Information Department Sultan Moulay Slimane University Beni Mellal Khouribga Morocco

ISBN: (纸本)9783031647789

Virtual Reality and Augmented Reality offering new avenues for enhancing learning experiences. This research investigates the potential of VR and AR to enrich education, catering to a wide spectrum of learners from elementary to university levels. By immersing students in simulated environments or overlaying digital elements onto the real world, these technologies enable innovative ways of engaging students and enhancing comprehension while addressing the limitations of traditional teaching methods. The paper highlights the VR and AR in education, they empower students to interact with complex concepts, connect with experts, and experience subjects firsthand. Furthermore, the paper underscores the importance of VR and AR in cultivating 21st-century skills. These technologies have the potential to create immersive, interactive learning environments that transcend traditional pedagogy. It emphasizes that as technology evolves, the potential for educational transformation continues to expand. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Augmented reality

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A Mathematical Model for COVID-19 Image Enhancement based on Mittag-Leffler-Chebyshev Shift

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computers, Materials & Continua 2022年第10期73卷 1307-1316页

作者： Ibtisam Aldawish Hamid A.Jalab Department of Mathematics and Statistics College of ScienceImam Mohammad Ibn Saud Islamic UniversityRiyadh11432Saudi Arabia Department of Computer System&Technology Faculty of Computer Scienceand Information TechnologyUniversiti Malaya50603Kuala LumpurMalaysia

The lungs CT scan is used to visualize the spread of the disease across the lungs to obtain better knowledge of the state of the COVID-19 *** diagnosing of COVID-19 disease is a complex challenge that medical system face during the pandemic *** address this problem,this paper proposes a COVID-19 image enhancement based on Mittag-Leffler-Chebyshev polynomial as pre-processing step for COVID-19 detection and *** proposed approach comprises the MittagLeffler sum convoluted with Chebyshev *** idea for using the proposed image enhancement model is that it improves images with low graylevel changes by estimating the probability of each *** proposed image enhancement technique is tested on a variety of lungs computed tomography(CT)scan dataset of varying quality to demonstrate that it is robust and can resist significant quality *** blind/referenceless image spatial quality evaluator(BRISQUE),and the natural image quality evaluator(NIQE)measures for CT scans were 38.78,and 7.43 *** to the findings,the proposed image enhancement model produces the best image quality ***,this model considerably enhances the details of the given datasets,and it may be able to assist medical professionals in the diagnosing process.

关键词： CT scans COVID-19 Mittag-Leffler Chebyshev polynomial fractional calculus

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A Review of Lightweight Security and Privacy for Resource-Constrained IoT Devices

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computers, Materials & Continua 2024年第1期78卷 31-63页

作者： Sunil Kumar Dilip Kumar Ramraj Dangi Gaurav Choudhary Nicola Dragoni Ilsun You Department of Computer Science and Engineering National Institute of Technology JamshedpurJamshedpurIndia School of Computing Science and Engineering VIT University BhopalBhopal466114India Center for Industrial Software The Maersk Mc-Kinney Moller InstituteUniversity of Southern DenmarkSonderborgOdenseDenmark Department of Applied Mathematics and Computer Science Technical University of DenmarkLyngby2800Denmark Department of Information Security Cryptologyand MathematicsKookmin UniversitySeoulSouth Korea

The widespread and growing interest in the Internet of Things(IoT)may be attributed to its usefulness in many different *** settings are probed for data,which is then transferred via linked *** are several hurdles to overcome when putting IoT into practice,from managing server infrastructure to coordinating the use of tiny *** it comes to deploying IoT,everyone agrees that security is the biggest *** is due to the fact that a large number of IoT devices exist in the physicalworld and thatmany of themhave constrained resources such as electricity,memory,processing power,and square *** research intends to analyse resource-constrained IoT devices,including RFID tags,sensors,and smart cards,and the issues involved with protecting them in such restricted *** lightweight cryptography,the information sent between these gadgets may be *** order to provide a holistic picture,this research evaluates and contrasts well-known algorithms based on their implementation cost,hardware/software efficiency,and attack resistance *** also emphasised how essential lightweight encryption is for striking a good cost-to-performance-to-security ratio.

关键词： IoT a sensor device lightweight cryptography block cipher smart card security and privacy

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