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Joint 9th International Conference on Digital Arts, Media and technology with 7th ECTI Northern Section Conference on Electrical, Electronics, computer and Telecommunications engineering, ECTI DAMT and NCON 2024

作者： Kamchompoo, Suleeporn University of Phayao School of Information and Communication Technology Department of Computer Graphic and Multimedia Phayao Thailand

ISBN: (纸本)9798350318241

This research aimed to design the illustrations of Himmapan animals in Super Deformed (SD) form for application to new media and to evaluate the suitability of designing the illustrations of Himmapan animals in SD form for application to new media. This research employed a mixed method, starting with qualitative research to analyze data for use in designing the illustrations of Himmapan animals in SD form and then conducting quantitative research to determine the suitability of designing the illustrations of Himmapan animals in SD form. The illustration design of Himmapan animals were divided into three types: bipedal animals, four-legged animals, and aquatic animals. Each type consisted of three kinds of animals. That is, bipedal animals included swan, Hasadee Link bird, and Kinnaree. Four-legged animals included Singha, Mom, and Kochasri. Aquatic animals included Machawan, Naga, and mermaid. The results of this research showed that the design of Himmapan animal illustrations in SD style for application to new media, conveying the uniqueness of Himmapan animals, and conveying value and applying to new media and design according to the characteristics of SD illustrations were at the highest level. The results of this research can be applied to the design of illustrations of Himmapan animals for use in new media. It can also be applied as a guideline for the development for use as a public relations media and commercial products. Moreover, they can be used on online platforms in order to create contemporary awareness of arts and culture. © 2024 IEEE.

关键词： Animals

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Multifunctional Carbon-Basalt hybrid composites against bird strike

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Materials Today: Proceedings 2023年 74卷 736-743页

作者： Joshi, Sarang Maharshi, Kumar Goyal, Nikunj Patel, Shivdayal Panwar, Ravi Department of Mechanical Engineering PDPM Indian Institute of Information Technology Design and Manufacturing Jabalpur Jabalpur India Department of Electronics and Communication Engineering PDPM Indian Institute of Information Technology Design and Manufacturing Jabalpur Jabalpur India

A bird strike is a common occurrence during an aircraft's takeoff and landing and is classified as a high-velocity impact, which can cause severe damage, a decrease in aerodynamic efficiency, and may lead to catastrophic failure. High strength composite materials are used in the wing structure to resist the bird strike. Stealth is an important factor for military aircraft, as it reduces the detectability range of the target. The current aircraft wing structure incorporates different systems to perform various functions, so a composite wing capable of performing multiple functions of providing stealth while retaining its existing properties is required. The need for sustainable green materials has shifted the focus to natural materials, and hybridization is the way to improve the properties. The current study proposes a multifunctional hybrid carbon-basalt-polyaniline composite for aircraft wing skin that can absorb electromagnetic (EM) waves while maintaining its mechanical properties. A polyaniline with 5 % weight was found to be optimal, as the prepared sample has a dielectric loss tangent of 2.1396. The hybrid composite was simulated against a bird strike and a maximum deflection of −48.54 mm was observed for a thickness of 1.2 mm. The deflection behavior of the prepared composite was compared to several works, and a thickness of 3.6 mm was found to be optimal for a deflection of −28.97 mm. For a curved leading-edge profile, the observed deflection for 1.488 mm thickness was 580 mm. An all-composite wing model was designed and proposed having two ribs, one spar, and two stringers all modelled in carbon-basalt-PANI composite showing the maximum center point deflection of 450 mm. The prepared multifunctional hybrid composite has a high potential for use in aircraft wing skins due to its reasonable mechanical properties, good EM wave absorption, and ability to withstand bird strike. © 2022

关键词： Dielectric losses

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A social diagnosis mechanism for healthcare knowledge sharing

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Journal of information Science 2025年第3期51卷 720-743页

作者： Lin, Lien-Fa Li, Yung-Ming Lin, Yen-Chen Department of Computer Science and Information Engineering National Kaohsiung University of Science and Technology Taiwan Institute of Information Management National Yang Ming Chiao Tung University Taiwan

In recent years, social networks have grown rapidly, and their applications in the healthcare domain are increasingly proposed. Using the crowd wisdom generated from social networks, we can find similar and reliable people sharing helpful experiences. The existing dedicated social networking services for health mainly focus on sharing, but not categorising and extracting. In this research, we construct an environment for social knowledge sharing and expert referring. Analysing queries from online public health databases and the factors of health similarity, social reliability and social intimacy, we extract health knowledge to recommend relevant social knowledge (also called threads) and helpful experts providing consulting. Specifically, the proposed social diagnosis mechanism helps the health seeker to identify relevant threads and recommends enthusiastic experts for healthcare support. Experimental results reveal that the proposed mechanism can effectively improve healthcare knowledge sharing and realise diagnosis support from the crowd. © The Author(s) 2023.

关键词： Knowledge management

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Secure blockchain bidding auction protocol against malicious adversaries

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High-Confidence Computing 2024年第3期4卷 58-63页

作者： Xiaobing Dai Jiajing Liu Xin Liu Xiaofen Tu Ruexue Wang Department of Computer and Information Engineering Baotou Vocational&Technical CollegeBaotou 014010China Department of Computer Tianjin Ren’ai CollegeTianjin 301636China School of Information Engineering Inner Mongolia University of Science and TechnologyBaotou 014010China

In recent years,with the development of blockchain,electronic bidding auction has received more and more *** at the possible problems of privacy leakage in the current electronic bidding and auction,this paper proposes an electronic bidding auction system based on blockchain against malicious adversaries,which uses the secure multi-party computation to realize secure bidding auction protocol without any trusted third *** protocol proposed in this paper is an electronic bidding auction scheme based on the threshold elliptic curve *** can be implemented without any third party to complete the bidding auction for some malicious behaviors of the participants,which can solve the problem of resisting malicious adversary *** security of the protocol is proved by the real/ideal model paradigm,and the efficiency of the protocol is *** efficiency of the protocol is verified by simulating experiments,and the protocol has practical value.

关键词： Blockchain Secure multi-party computation Electronic bidding auction Malicious model Real/ideal model paradigm

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Revolutionizing Home Connectivity with IoT-Enabled Smart Mirrors for Internet Browsing and Smart Home Integration 5

Revolutionizing Home Connectivity with IoT-Enabled Smart Mir...

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5th International Conference on Mobile Computing and Sustainable Informatics, ICMCSI 2024

作者： Prabha, M. Manicka Jegadeesan, S. Jayavathi, S.D. Rajkumar, G. Vinoth Jothi, J. Nirmal Krishnan, R. Santhana SCAD College of Engineering and Technology Department of Computer Science and Engineering Cheranmahadevi India Velammal College of Engineering and Technology Department of Information Technology Madurai India JP College of Engineering Department of Electronics and Communication Engineering Ayikudi Tenkasi India Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi Chennai India SCAD College of Engineering and Technology Department of Electronics and Communication Engineering Cheranmahadevi India

ISBN: (纸本)9798350395235

This research study explores the transformative potential of IoT-Enabled Smart Mirrors to redefine home connectivity by enabling seamless internet browsing and smart home integration. It introduces a novel model algorithm, IoT-ViSense (IVS), which leverages IoT sensor data fusion with vision-based Convolutional Neural Networks (CNN) for real-time environmental monitoring and security. A comprehensive simulation analysis of IoT-ViSense is conducted and compared against existing algorithms using pertinent simulation metrics. IoT-Enabled Smart Mirrors serve as multifunctional interfaces, integrating personalized weather updates, news, calendar schedules, and real-time compliments. They also incorporate features such as a built-in camera for capturing high-quality selfies, on-demand workout sessions facilitated by fitness experts, and the ability to browse the internet, make calls, and interact with other connected devices. The proposed IoT-ViSense (IVS) algorithm combines IoT sensor data with Vision-based CNN analysis to enhance environmental monitoring and security. It continuously processes data from IoT sensors and camera feeds, detecting anomalies and patterns in real-time. By fusing these data streams, IVS enhances security by identifying unauthorized access and suspicious activities while concurrently optimizing resource usage and ensuring comfortable living and working environments. The simulation analysis of IoT-ViSense (IVS) is compared with suitable existing algorithms, assessing its efficiency in terms of accuracy, response time, and resource optimization. Results reveal that IoT-ViSense (IVS) outperforms other algorithms, demonstrating its prowess in achieving a harmonious blend of smart home integration and real-time environmental monitoring. © 2024 IEEE.

关键词： Convolutional neural networks

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Multi-Task Learning Model with Data Augmentation for Arabic Aspect-Based Sentiment Analysis

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computers, Materials & Continua 2023年第5期75卷 4419-4444页

作者： Arwa Saif Fadel Osama Ahmed Abulnaja Mostafa Elsayed Saleh Department of Computer Science Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science Faculty of Computer Sciences and EngineeringHodeidah UniversityYemen

Aspect-based sentiment analysis(ABSA)is a fine-grained *** fundamental subtasks are aspect termextraction(ATE)and aspect polarity classification(APC),and these subtasks are dependent and closely ***,most existing works on Arabic ABSA content separately address them,assume that aspect terms are preidentified,or use a pipeline *** solutions design different models for each task,and the output from the ATE model is used as the input to the APC model,which may result in error propagation among different steps because APC is affected by ATE *** methods are impractical for real-world scenarios where the ATE task is the base task for APC,and its result impacts the accuracy of ***,in this study,we focused on a multi-task learning model for Arabic ATE and APC in which the model is jointly trained on two subtasks simultaneously in a *** paper integrates themulti-task model,namely Local Cotext Foucse-Aspect Term Extraction and Polarity classification(LCF-ATEPC)and Arabic Bidirectional Encoder Representation from Transformers(AraBERT)as a shred layer for Arabic contextual text *** LCF-ATEPC model is based on a multi-head selfattention and local context focus mechanism(LCF)to capture the interactive information between an aspect and its ***,data augmentation techniques are proposed based on state-of-the-art augmentation techniques(word embedding substitution with constraints and contextual embedding(AraBERT))to increase the diversity of the training *** paper examined the effect of data augmentation on the multi-task model for Arabic *** experiments were conducted on the original and combined datasets(merging the original and augmented datasets).Experimental results demonstrate that the proposed Multi-task model outperformed existing APC *** results were obtained by AraBERT and LCF-ATEPC with fusion layer(AR-LCF-ATEPC-Fusion)and the proposed data augmentation

关键词： Arabic aspect extraction arabic sentiment classification AraBERT multi-task learning data augmentation

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Differential Evolution Strategy with Chebyshev Chaos Based Mutation

Journal of Network Intelligence

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Journal of Network Intelligence 2024年第1期9卷 613-628页

作者： Sitenda, Amos Song, Pei-Cheng Chu, Shu-Chuan Chen, Shi-Huang College of Computer Science and Engineering Shandong University of Science and Technology Qingdao266590 China Department of Computer Science and Information Engineering Shu-Te UniversityKaohsiung Kaohsiung824 Taiwan

Differential Evolution (DE) is a potent stochastic evolutionary optimization algorithm garnering increasing research attention. Over the years, it has been found applicable in solving diverse real-world problems. DE employs mutation, crossover, and selection operators to guide populations toward optimal or nearly optimal solutions. However, the standard DE mutation strategies have found limitations in balancing exploration and exploitation effectively, thus prompting research into possible improvements. This study introduces a novel mutation strategy named Chebyshev Infused Chaos Mutation Strategy (CICMS). where a chaotic sequence partially guides the process of donor vector generation. Rigorous evaluations were conducted, comparing our modified DE against the standard DE and seven other metaheuristic algorithms, including Genetic Algorithm, Particle Swarm Optimization and Gravitational Search Algorithm. Experiments were performed using the challenging CEC 2014 benchmark functions, consisting of 30 objective functions. Results indicate substantial improvements in convergence speed and solution quality, highlighting the potential of our novel mutation strategy to enhance DE’s practicality in addressing complex optimization problems. This research contributes valuable insights to the dynamic field of optimization algorithms with implications for a wide range of applications. © 2024, Taiwan Ubiquitous information CO LTD. All rights reserved.

关键词： Chaos theory

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Review of Techniques for Integrating Security in Software Development Lifecycle

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computers, Materials & Continua 2025年第1期82卷 139-172页

作者： Hassan Saeed Imran Shafi Jamil Ahmad Adnan Ahmed Khan Tahir Khurshaid Imran Ashraf College of Electrical and Mechanical Engineering National University of Sciences and Technology(NUST)Rawalpindi46604Pakistan Department of Computer Science Abasyn University Islamabad CampusIslamabad45510Pakistan Military College of Signals National University of Sciences and Technology(NUST)Rawalpindi46600Pakistan Department of Electrical Engineering Yeungnam UniversityGyeongsan38541Republic of Korea Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Republic of Korea

Software-related security aspects are a growing and legitimate concern,especially with 5G data available just at our *** conduct research in this field,periodic comparative analysis is needed with the new techniques coming up *** purpose of this study is to review the recent developments in the field of security integration in the software development lifecycle(SDLC)by analyzing the articles published in the last two decades and to propose a way *** review follows Kitchenham’s review *** review has been divided into three main stages including planning,execution,and *** the selected 100 articles,it becomes evident that need of a collaborative approach is necessary for addressing critical software security risks(CSSRs)through effective risk management/estimation *** risks using a numeric scale enables a comprehensive understanding of their severity,facilitating focused resource allocation and mitigation *** a comprehensive understanding of potential vulnerabilities and proactive mitigation efforts facilitated by protection poker,organizations can prioritize resources effectively to ensure the successful outcome of projects and initiatives in today’s dynamic threat *** review reveals that threat analysis and security testing are needed to develop automated tools for the *** estimation of effort required to prioritize potential security risks is a big challenge in software *** accuracy of effort estimation can be further improved by exploring new techniques,particularly those involving deep *** is also imperative to validate these effort estimation methods to ensure all potential security threats are *** challenge is selecting the right model for each specific security *** achieve a comprehensive evaluation,researchers should use well-known benchmark checklists.

关键词： Software development lifecycle systematic literature review critical software security risks national institute of standards and technology DevSecOps open web application security project McGraw’s touch points

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Noise cancellation of polycystic ovarian syndrome ultrasound images using robust two-dimensional fractional fourier transform filter and VGG-16 model

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International Journal of information technology (Singapore) 2024年第4期16卷 2497-2504页

作者： Jha, Manika Gupta, Richa Saxena, Rajiv Department of Electronics and Communication Engineering Jaypee Institute of Information Technology Uttar Pradesh Noida 201309 India

The occurrence of Polycystic Ovarian Syndrome (PCOS) among women of reproductive age is increasing worldwide. PCOS is recognized as a critical health issue that can harm physical and mental health of women. This motivates clinicians and radiologists to identify PCOS at initial stages avoiding further complications. Conditions such as hirsutism and gynecomastia are analysed to detect PCOS through ultrasound imaging to obtain position, size and number of follicles. However, noise in ultrasound imaging is a serious problem since it can lead to inaccurate disease diagnosis. It is critical to restore image quality by lowering noise levels in order to extract information from medical images. The proposed work develops a denoising filter by using Two-Dimensional Fractional Fourier Transform (2D-FrFT) to remove artifacts from PCOS ultrasound images in time–frequency plane. The optimal value of a critical parameter of 2D-FrFT—fractional operator (a), used for efficient denoising at different angles, is evaluated by a VGG-16 deep learning model after synthetically corrupting the images with speckle noise of various levels. Experimental results uphold the pre-eminence of suggested method over available denoising methods by attaining Root-Mean-Square Error (RMSE) of 0.2309, Peak Signal-to-Noise Ratio (PSNR) of 72.9689 and Structural Similarity (SSIM) of 0.99. The proposed method filters the high frequency noises from the PCOS Ultrasound dataset to yield better quality images for enhanced segmentation and classification models. © The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of computer Applications and Management 2024.

关键词： Denoising Early diagnostics Filtering Fractional fourier transform PCOS detection

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Implementation on the Price Prediction and Analysis of Chicken Breast with Deep Learning Techniques 14th

Implementation on the Price Prediction and Analysis of C...

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14th International Conference on Frontier Computing, FC 2024

作者： Liu, Chao-Hung Chan, Yu-Wei Lin, Po-Yen Chang, Chih-Hung Yang, Chao-Tung Department of Computer Science and Information Management Providence University Taichung Taiwan Department of Computer Science and Information Engineering Providence University Taichung Taiwan Department of Computer Science and Communication Engineering Providence University Taichung Taiwan Department of Computer Science Tunghai University Taichung City Taiwan

ISBN: (纸本)9789819623945

The Taiwanese livestock industry grapples with escalating costs and challenges such as labor shortages, environmental changes, pollution, and disease threats. Trade liberalization and cheaper imports further highlight the need for industry modernization. In slaughter and food processing, predicting prices requires careful consideration of operational costs and pricing strategies. To analyze historical chicken meat prices, we compared ARIMA and LSTM models, common in time series forecasting. Additionally, we introduced STL-LSTM, combining STL and LSTM. These aimed for accurate real-time price predictions, with MSE used to measure accuracy. The study found that the LSTM model exhibited high predictive accuracy with the available data. Across various prediction horizons (1, 3, and 6 steps), the root mean squared error (RMSE) values were 3.09, 3.27, and 3.34, respectively, and the mean absolute percentage error (MAPE) values were 2.29, 2.95, and 2.92, respectively. These results surpassed those of the STL-LSTM and ARIMA models significantly. The LSTM model demonstrated capability in anticipating and signaling abnormal price fluctuations, offering valuable insights for pricing decisions within the industry. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Deep learning

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