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2024 International Conference on Decision Aid sciences and Applications, DASA 2024

作者： Ahmed, Amjed Abbas Najim, Ali Hamza Ibraheem, Ahmed Salman Ali Alheeti, Khattab M. Mohd Satar, Nurhizam Safie Abdallah Hashim, Aisha Hassan Universiti Kebangsaan Malaysia Center for Cyber Security Faculty of Information Science and Technology Bangi Malaysia Department of Computer Techniques Engineering Baghdad Iraq Department of Computer Technical Engineering Al-Diwaniyah Iraq Department of Computer Technical Engineering Baghdad Iraq College of Computer and Information Technology Computer Networking Systems Department University of Anbar Anbar Iraq Center for Cyber Security Faculty of Information Science and Technology Bangi43600 Malaysia International Islamic University Malaysia Faculty of Engineering Department of Electrical and Computer Engineering Selangor Malaysia

ISBN: (纸本)9798350369106

An advanced hybrid renewable energy collecting and storage system prototype that utilizes water flow as its primary power source. Additionally, the system incorporates an energy monitoring system based on the Internet of Things (IoT) technology. The device effectively harnesses energy from the movement of water, storing it for future use in low-voltage applications. It demonstrates a maximum daily energy capture capacity of about 100Wh. The energy monitoring system, based on the Internet of Things (IoT), enables the real-time and remote monitoring of energy harvesting and usage. We thoroughly assessed the energy harvesting component across different situations to identify the crucial parameters that impact energy output. The results of our study demonstrate that several elements, including the spatial separation 'between the energy harvester and the water source, Water flow' speed, sensor orientation, and sensor density, all play significant roles in determining the quantity of energy collected. This research shows that it is possible to integrate IoT technology with hydropower renewable energy systems. It provides significant perspectives on enhancing energy extraction efficiency in practical scenarios. © 2024 IEEE.

关键词： harvesting renewable energy IoT storage energy water flow energy

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Advancing Healthcare Through Internet of Things: A Comprehensive Review of Smart Healthcare systems and Their Applications 2

Advancing Healthcare Through Internet of Things: A Comprehen...

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2nd International Conference on Machine Learning and Autonomous systems, ICMLAS 2025

作者： Raushan, Rahul Chaudhri, Shiv Nath Suman, Saurabh Kumar, Dhiraj Kumar, Gulshan Kumar, Abhishek Faculty of Engineering and - Technology Department of Computer Science & Design Maharashtra Wardha442001 India

ISBN: (纸本)9798331505745

The Internet of Things (IoT) has turned the healthcare domain in a better direction due to more interconnected and smarter systems that enhance care delivery. Certainly, the IoT-accessible applications in these fields are only possible if devices, sensors, and real-time data are interconnected. Among today's marvels are remote patient monitoring, wearable health trackers, telemedicine, and smart hospital management. Medicine gets more personal, effective, and accessible due to these improvements. However, its development remains unmatched being faced with complexities such as security of personalized data, safety risks resolution, and seamless device-to-system integration. This paper examines the influential role of IoT in advanced healthcare systems, with its virtues, major applications, and implementation obstacles as the subject. The Internet of Things as a mode of health and technology bridging can entirely change how medicines are being practiced and even lead to the improvement of the lives of patients by introducing adaptive and efficient hospital systems. Thus, IoT can be a technology that balances tech and medicine for the betterment of patient treatment outcomes and make the system adaptive and efficient. © 2025 IEEE.

关键词： Personalized medicine

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Determining category metadata in open data portals - an approach based on Formal Concept Analysis 32

Determining category metadata in open data portals - an appr...

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32nd Telecommunications Forum, TELFOR 2024

作者： Gligorijevic, Milena Frtunic Bogdanovic, Milos Stoimenov, Leonid University of Niš Faculty of Electronic Engineering Department for Computer Science Niš Serbia

ISBN: (纸本)9798350391053

The efforts for data transparency and open government initiatives have resulted in a large amount of data being published on open data portals. These portals are organized to enhance published data accessibility by providing search mechanisms that utilize metadata such as category, tags, format, and publisher. However, due to the metadata incompleteness, such as missing category information, datasets are harder to find. Therefore, within this paper, we address the issue of missing category information by proposing an approach for categorizing datasets using keywords and their usage within categories. The presented approach is based on the Formal Concept Analysis method, which is used to create a hierarchical order of keywords grounded on their usage within categories on one open data portal. Further, we present the evaluation of the presented method using data from the Canadian open data portal. © 2024 IEEE.

关键词： categorization FCA formal concept analysis metadata enrichment open data open data portals

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Efficient Earth Observation Data Visualization Using Dual Orthogonal Equidistant Cylindrical Projection 11

Efficient Earth Observation Data Visualization Using Dual Or...

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11th International Conference on Electrical, Electronic and Computing engineering, IcETRAN 2024

作者： Dimitrijević, Aleksandar University of Niš Faculty of Electronic Engineering Department of Computer Science Niš Serbia

ISBN: (纸本)9798350386998

Earth observation (EO) data have seen a constant surge in volume, necessitating efficient storage, retrieval, and sharing mechanisms. Cartographic projections play a vital role in transforming spheroidal surface data into two-dimensional representations, albeit with distortions. The Dual Orthogonal Equidistant Cylindrical (DOEC) projection offers a balance between simplicity and distortion, making it a promising choice for EO data storage and visualization. This paper explores various methods for raster geodata visualization in DOEC projection, addressing challenges of partitioning, distortion, and visualization techniques. Through experimental comparisons, the paper demonstrates the efficiency of these methods, highlighting their applicability in EO data processing and visualization systems. © 2024 IEEE.

关键词： Rasterization

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Traditional and parameter-efficient fine-Tuning of LLMs for sentiment analysis in the English and Serbian language 11

Traditional and parameter-efficient fine-Tuning of LLMs for ...

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11th International Conference on Electrical, Electronic and Computing engineering, IcETRAN 2024

作者： Dordevic, Nikola Stojkovic, Suzana University of Niš Faculty of Electronic Engineering Department of Computer Science Niš Serbia

ISBN: (纸本)9798350386998

Fine-Tuning of large language models is often demanding in terms of computational resources and memory. Consequently, there is a need to explore new methods that can effectively fine-Tune these models without compromising performance. In this paper, we compared traditional and parameter-efficient fine-Tuning of large language model XLM-RoBERTa, across both high-resourced languages like English and low-resourced languages such as Serbian. The model is fine-Tuned for sentiment analysis when it is conducted using text classification. The experiments have shown that parameter-efficient fine-Tuning can produce results that are on par with traditional fine-Tuning, both for the English and the Serbian language. Furthermore, parameter efficient fine-Tuning approach significantly reduces the computational time and memory requirements associated with model training, thereby offering a promising avenue for resource-efficient large language models fine-Tuning. In experiments with the English language, we achieved accuracy using the PEFT approach that was only 3% lower than the accuracy obtained through the traditional approach, while reducing training time by 35% and memory requirements by 42%. In experiments involving the Serbian language, we achieved accuracy using the PEFT approach that was only 1% lower than the accuracy obtained through the traditional approach, while reducing training time by 42% and memory requirements by 69%. © 2024 IEEE.

关键词： Modeling languages

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An Approach for Metadata Enrichment on Open Data Portals 11

An Approach for Metadata Enrichment on Open Data Portals

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11th International Conference on Electrical, Electronic and Computing engineering, IcETRAN 2024

作者： Gligorijević, Milena Frtunic Bogdanović, Milos Stoimenov, Leonid University of Niš Faculty of Electronic Engineering Department for Computer Science Niš Serbia

ISBN: (纸本)9798350386998

Open data initiatives have resulted in a large amount of data being published on open data portals. In order to make published data more accessible these portals provide search mechanisms based on metadata like category, tags, format, and publisher. However, due to the lack of metadata information, like category values, search results are incomplete, and data is harder to be found. Therefore, this paper presents an approach for metadata enrichment on open data portals. In particular, the presented approach is focused on suggesting categories one dataset should belong to, based on the combination of tags that is used for its description. This approach relies on the tags usage for describing datasets within categories and the Formal Concept Analysis method for creating a hierarchical order of tags within categories. The presented proposal has been evaluated using data from Ireland's open data portal. © 2024 IEEE.

关键词： FCA formal concept analysis metadata enrichment open data open data portals

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Obstacle Detection Using Arduino Board and Bluetooth Control 8th

Obstacle Detection Using Arduino Board and Bluetooth Control

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8th International Conference on Information and Communication Technology for Competitive Strategies, ICTCS 2023

作者： Pavitha, N. Dardige, Rohit Patil, Vaibhav Pawar, Ameya Shah, Bhavesh Department of Computer Engineering Faculty Science and Technology Vishwakarma University Pune India

ISBN: (纸本)9789819994885

An intelligent robotic vehicle with an ultrasonic sensor that can avoid obstacles in its path is the research idea. This sensor recognizes obstructions, permitting the vehicle to perform activities like halting, turning right or left, and going in reverse. The essential objective is to make a robot vehicle that can work independently or under client direction. The vehicle responds to avoid collision when the ultrasonic sensor detects an obstruction. The vehicle's development incorporates an Arduino UNO microcontroller, ultrasonic sensor, engines, and other electric parts. The microcontroller, which serves as the vehicle's brain, receives information about objects in the vehicle's path from the ultrasonic sensor. After that, the microcontroller issues commands to a servo motor that is connected to the wheels. This ensures that the vehicle comes to a stop in order to avoid colliding with anything. Moreover, the vehicle's usefulness incorporates Bluetooth availability for control. Bluetooth allows users to control the vehicle from a distance and even use voice commands to do so. The joining of a Bluetooth module empowers these control choices, upgrading the vehicle's flexibility and connection prospects. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Bluetooth

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A Systematic Literature Review on the Security Attacks and Countermeasures Used in Graphical Passwords

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IEEE Access 2024年 12卷 53408-53423页

作者： Por, Lip Yee Ng, Ian Ouii Chen, Yen-Lin Yang, Jing Ku, Chin Soon Universiti Malaya Faculty of Computer Science and Information Technology Department of Computer System and Technology Kuala Lumpur50603 Malaysia National Taipei University of Technology Department of Computer Science and Information Engineering Taipei106344 Taiwan Universiti Tunku Abdul Rahman Department of Computer Science Kampar31900 Malaysia

This systematic literature review delves into the dynamic realm of graphical passwords, focusing on the myriad security attacks they face and the diverse countermeasures devised to mitigate these threats. The core objective of this paper is to identify existing security threats to graphical password schemes and the corresponding countermeasures developed to mitigate these attacks. The study process begins by identifying the usable databases and search engines to identify all the relevant resources. The inclusion and exclusion criteria were carefully selected to prioritize the study, focusing mostly on attacks and countermeasures related to graphical password schemes between 2009 and 2023. After thorough identification and selection progress, 59 studies met all the criteria. Among these studies, 47 mentioned shoulder surfing as a threat to graphical password schemes, while 20 discussed brute force attacks. Additionally, there were 21 papers on dictionary attacks, 13 on smudge attacks, spyware attacks, and social engineering, and 19 that discussed guessing attacks as threats to graphical password schemes. Furthermore, the papers identified several other attacks, including frequency of occurrence analysis attacks, video recording, eavesdropping, computer vision, sonar, and image gallery attacks, with the corresponding numbers of papers being 9, 17, 5, 2, 2, and 1, respectively. The results also highlight the countermeasures proposed in the study papers to mitigate the aforementioned attacks. Among the various countermeasures identified, most revolve around randomization, obfuscation, and password space complexity as the most commonly used techniques for enhancing the security of graphical password schemes. © 2013 IEEE.

关键词： Authentication

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Unified Approach Integrating Machine Learning Algorithms for Detection of e-Mail Phishing Attacks 1

Unified Approach Integrating Machine Learning Algorithms for...

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1st International Conference on Computing, sciences and Communications, ICCSC 2024

作者： Mathur, Abeer Dubey, Abhinav Sudhakar Mahara, Pranav Singh Gandhi, Usha Devi School of Computer Science & Engineering Vellore Institute of Technology Department of Software Systems Vellore India School of Computer Science Engineering & Information Systems Vellore Institute of Technology Department of Information Technology Vellore India

ISBN: (纸本)9798350353648

With the ever-rising risk of phishing attacks, which capitalize on vulnerable human behavior in the contemporary digital space, requires new cybersecurity methods. This literary work contributes to the solution by novel incorporation of three techniques: Support Vector Machine (SVM), Natural Language Processing (NLP) and Random Forest (RF). Utilizing NLP for deep analysis of text in phishing e-mails, SVM for strong categorization and Random Forest's decision making by group helps in improving detection. This combination of language and pattern analysis along with group learning builds a fortified system. This approach differs from prior work on a variety of factors such as reliability, security, integrity, scalability, interpretability, transparency, and robustness. Thorough evaluation on a reliable dataset aimed to demonstrate the method's effectiveness, which resulted in 98.7 % of accuracy in detection. This majorly aims at showcasing the potential of ensemble techniques to combat against cyber-attacks like phishing for laying a strong foundation for a secure digital environment. © 2024 IEEE.

关键词： Phishing

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Efficient spectrum allocation for secondary users in cognitive radio network using round robin priority algorithm along with reservation channels

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Journal of Ambient Intelligence and Humanized Computing 2023年第12期14卷 16715-16728页

作者： Suganthi, N. Meenakshi, S. Department of Computer Science and Engineering SRM Institute of Science and Technology Faculty of Engineering and Technology Ramapuram Tamil Nadu Chennai600119 India Tamil Nadu Chennai India

Cognitive Radio Network provides opportunistic spectrum access to unlicensed users in the absence of licensed users using dynamic spectrum access technology. The key challenge here is to impartially share the existing spectrum to all the secondary users in the network. A Round Robin Priority (RRP) algorithm along with reservation spectrum is proposed in this paper to impartially schedule available spectrum band and to provide continuous uninterrupted service to all secondary users. The QoS of secondary users are evaluated and compared with traditional spectrum allocation methods. The QoS parameters considered are blocking probability, the forced termination probability, spectrum utilization, average waiting time and the average delay of secondary users. The proposed Round Robin Priority Algorithm with Reservation scheme results reveals 22.82% reduction in Blocking Probability, 15.28% reduction in Forced Termination Probability, 12.54% reduction in average waiting time and 24.58% increase in Spectrum utilization when compared with traditional Constant Channel Aggregation Scheme. On comparing RRP with reservation with Variable Channel Aggregation schemes shows 19.32% reduction in Blocking Probability, 12.74% reduction in Forced Termination Probability and 10.57% increase in Spectrum Utilization. © 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Blocking probability

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