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IAENG International Journal of Computer science 2025年第1期52卷 223-232页

作者： Maeda, Kyosuke Yokota, Issei Okada, Yoshifurni Lee, Saerom Division of Science for Creative Emergence Kagawa University Graduate School 2-1 Saiwai-cho Kagawa Takamatsu760-8523 Japan Division of Science for Creative Emergence Kagawa University Graduate School 2-1 Saiwai-cho Kagawa Takamatsu760-8523 Japan College of Information and Systems Muroran Institute of Technology 27-1 Mizumoto-cho Hokkaido Muroran050-8585 Japan Faculty of Engineering and Design Kagawa University 1-1 Saiwai-cho Kagawa Takamatsu760-8523 Japan

Linkage pattern mining is a method used to extract frequently occurring patterns from multiple sequential data without considering the similarity or correlation between frequent patterns. Therefore, it is expected to be a promising approach for disease prediction and voice data analysis. In the previous method, closed itemset mining was introduced in the linkage pattern-mining algorithm to ensure robustness against noise. Although this method can extract linkage patterns from noisy artificial dataseis, a reduction in computation time and stringent parameter settings are essential for its practical application to real data. In this study, we employed Episode Mining using Memory Anchor algorithm for frequent pattern mining to overcome the limitations of the previous method. The objective of this study is to develop a new robust linkage pattern-mining method that is more applicable to real data, A performance comparison between the previous and proposed methods using artificial datasets showed that the proposed method achieved a reduction in computation time while maintaining an extraction accuracy that is comparable to that of the previous method, particularly on noisy artificial datasets. © (2025), (International Association of Engineers). All rights reserved.

关键词： closed itemset EMMA interval graph linkage pattern sequential pattern mining

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Light field depth estimation:A comprehensive survey from principles to future

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High-Confidence Computing 2024年第1期4卷 92-107页

作者： Tun Wang Hao Sheng Rongshan Chen Da Yang Zhenglong Cui Sizhe Wang Ruixuan Cong Mingyuan Zhao State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and EngineeringBeihang UniversityBeijing 100191China Zhongfa Aviation Institute Beihang UniversityHangzhou 311115China Faculty of Applied Sciences Macao Polytechnic UniversityMacao 999078China State Key Laboratory of Software Development Environment School of Computer Science and EngineeringBeihang UniversityBeijing 100191China

Light Field(LF)depth estimation is an important research direction in the area of computer vision and computational photography,which aims to infer the depth information of different objects in threedimensional scenes by capturing LF *** this new era of significance,this article introduces a survey of the key concepts,methods,novel applications,and future trends in this *** summarize the LF depth estimation methods,which are usually based on the interaction of radiance from rays in all directions of the LF data,such as epipolar-plane,multi-view geometry,focal stack,and deep *** analyze the many challenges facing each of these approaches,including complex algorithms,large amounts of computation,and speed *** addition,this survey summarizes most of the currently available methods,conducts some comparative experiments,discusses the results,and investigates the novel directions in LF depth estimation.

关键词： Light field Depth estimation Deep learning Sub-aperture image Epipolar-plane image

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Study on a Visible Light Communication and Positioning System Utilizing an Optical Diffusion Filter and Rolling Shutter Sensor 13

Study on a Visible Light Communication and Positioning Syste...

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13th International Conference on Indoor Positioning and Indoor Navigation, IPIN 2023

作者： Okawara, Reo Ebihara, Tadashi Wakatsuki, Naoto Zempo, Keiichi Mizutani, Koichi University of Tsukuba Graduate School of Science and Technology Ibaraki Tsukuba Japan University of Tsukuba Institute of Systems and Information Engineering Ibaraki Tsukuba Japan

ISBN: (纸本)9798350320114

The demand for indoor positioning technology is currently increasing in various industries. Although positioning methods using sensors and functions installed on smartphones have been proposed in previous studies, no definitive indoor positioning technology has yet been established. Therefore, this paper presents a positioning system that performs visible light communication using a rolling shutter sensor installed in smartphones and an optical diffusion filter that diffuses light in one direction. The system calculates the camera position from information obtained through communication and the LED position in the captured image. The performance of the positioning method using four LEDs was evaluated in both simulations and experiments. The obtained results suggest that the proposed positioning system achieved a positioning error of less than 100 mm. The proposed method can become a viable alternative to provide seamless transition from outdoor to indoor positioning using current technologies such as global navigation satellite systems. © 2023 IEEE.

关键词： Optical Diffusion Filter Positioning Rolling Shutter Effect Rolling Shutter Sensor Visible Light Communication

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Artificial Finger Consisting of Closed Linkages and a Single Planetary Gear System: Control of a Reaction Force Vector Yielded at a Fingertip

Artificial Finger Consisting of Closed Linkages and a Single...

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2025 IEEE/SICE International Symposium on System Integration, SII 2025

作者： Eto, Y. Koganezawa, K. Kai, Y. Tokai University Graduate School of Science and Technology 4-1-1 Kitakaname Hiratsuka259-1292 Japan Tokai University Japan Tokai University Department of Mechanical Systems Engineering Japan

ISBN: (纸本)9798331531614

The authors have developed a five-finger robot hand with artificial fingers consisting of closed linkages and a Single Planetary Gear System. Recently, we developed a new finger mechanism equipping a hyperextension joint at the fingertip that acts passively by two torsion springs. This paper aims to investigate how the hyperextension joint allows to control the reaction force vector that the fingertip applies to an external object in kinematic & kinetic theoretical point of view. © 2025 IEEE.

关键词： Epicyclic gears

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Enhancing Healthcare Data Security: Computational Efficiency of Blockchain-Based Digital Signatures 5th

Enhancing Healthcare Data Security: Computational Efficiency...

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5th Doctoral Symposium on Computational Intelligence, DoSCI 2024

作者： Xu, Li Goyal, S.B. Rajawat, Anand Singh Niranjala, T. H. A. Shyama Heshini City Graduate School City University Petaling Jaya46100 Malaysia Nanchang Institute of Science and Technology Nanchang China Faculty of Information Technology City University Petaling Jaya46100 Malaysia School of Computer Science and Engineering Sandip University Nashik India

ISBN: (纸本)9789819771776

This study aims to examine the computational efficiency of blockchain-based digital signature technologies with respect to healthcare data security. When thinking about the revolutionary opportunities and risks posed by healthcare data digitization, concerns regarding data privacy and security have come to the forefront. Blockchain technology, which is both decentralised and immutable, offers a promising alternative. Two of its primary uses, data integrity and identity authentication, are made possible by digital signature systems. We conducted a comprehensive analysis to find out how efficient different protocols are in healthcare computing. Among these protocols were EdDSA, ECDSA, and Schnorr signatures. Our research indicates that efficiency is significantly affected by protocol selection. Despite the strong security it provides, data validation delays may occur due to the increased processing expense generated by ECDSA. Schnorr signatures and EdDSA are viable solutions that offer a reasonable compromise between security and efficiency. By delving into optimization methodologies and associated difficulties, this research paved the road for the ethical application of blockchain technology in healthcare. The healthcare industry, policymakers, and IT developers all benefit from our study when it comes to selecting and improving methods for secure and efficient data storage. This study uniquely examines the computational efficiency of blockchain-based digital signature protocols in healthcare data security, addressing optimization methodologies and highlighting the suitability of Schnorr signatures and EdDSA. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Electronic health record

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Early Detection of Childhood Malnutrition Using Survey Data and Machine Learning Approaches 4

Early Detection of Childhood Malnutrition Using Survey Data ...

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4th International Conference on Sentiment Analysis and Deep Learning, ICSADL 2025

作者： Zumma, Thoufiq Rahaman, Anikur Islam Prova, Nuzhat Noor Haque, Tasriful Joy Bose, Julias Caeser Youki, Ravina Akter Daffodil International University Department of Computer Science and Engineering Dhaka Bangladesh Washington University Science and Technology Department of Computer Science New York United States Pace University Department of Seidenberg School of Csis New York United States Victorian Institute of Technology Master of Information Technology and Systems Australia University of Wollongong Faculty of Artificial Intelligence and Science Australia University of Technology Sydney Faculty of Engineering and It Australia

ISBN: (纸本)9798331523923

Children's physical, mental and emotional development depends heavily on sleep, with age-specific sleep needs fluctuating. Malnutrition may result from eating too little, absorbing nutrients poorly, being unwell, living in poverty or not knowing enough about nutrition. Food allergies and iron insufficiency are two examples of illnesses whose onsets might differ depending on environmental exposures and genetics. By providing proper diet, getting medical attention when necessary and encouraging healthy behaviors, parents play a crucial role in supporting their children's health. For children to grow and develop properly, they need meals high in fruits, vegetables, milk, protein, calcium, iron and fiber. Key advantages of a balanced diet include aiding bone formation, improving heart health and encouraging regular bowel motions and digestion. In general, children's general health and wellness depend on caregivers being aware of their dietary requirements and giving them the proper attention. The findings of the research imply that machine learning algorithms may be useful in understanding and predicting the prevalence of malnutrition in children. Furthermore, these algorithms could provide perceptive data that might help politicians create effective policies. In this research, we make use of five different machine learning algorithms. With a decision tree, the accuracy is 0.92%, followed by svm which provides 0.91%, KNN, which provides 0.84%, GBM classifier, which provides 0.79% and random forest, which provides 0.65%. © 2025 IEEE.

关键词： Adversarial machine learning

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Empirical Research on 3D Analysis and Flow Prediction of Upstream Rivers Using Drones 13

Empirical Research on 3D Analysis and Flow Prediction of Ups...

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Joint 13th International Conference on Soft Computing and Intelligent systems and 25th International Symposium on Advanced Intelligent systems, SCIS and ISIS 2024

作者： Hoshino, Yukinobu Rathnayake, Namal Dang, Tuan Linh Rathnayake, Upaka School of Systems Engineering Kochi University of Technology Kochi Kami City Japan University of Tokyo River and Environmental Engineering Laboratory 7-3-1 Hongo Bunkyoku Tokyo Japan School of Information and Communications Technology Hanoi University of Science and Technology Hanoi Viet Nam Atlantic University of Technology Faculty of Engineering and Design Sligo Ireland

ISBN: (纸本)9798350373332

This study aims to develop an AI prediction system for watersheds, utilizing data from Sri Lanka and Vietnam in collaboration with overseas researchers. Initially, a foundational AI prediction system will be constructed, and basic data will be gathered based on river data from Japan. Subsequently, topographic data of the watershed area, managed by the joint research partner institution, will be incorporated into the AI prediction system through drone-based aerial measurement and analysis. Moreover, visits to the joint research institution will be conducted to gather information on water damage and electricity supply. This information will then be integrated into the AI prediction system. Utilizing the collected data and additional observation data, efforts will be made to enhance the accuracy of the AI prediction algorithm, identify potential issues, and overcome them. The ultimate goal is to establish new AI pre-diction technology by comparing the results of this study with both domestic and international research outcomes. This paper will present data from a drone scan of the upstream watershed and discuss the future use of AI based on the results of three-dimensional analysis and image processing. © 2024 IEEE.

关键词： Flood damage

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Effects of various parameters on guidewire and catheter behavior during catheter introduction

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Journal of Biomechanical science and engineering 2025年第1期20卷 1-15页

作者： TAKASHIMA, Kazuto HIDAKA, Hiroto NAMBA, Akinori HAGA, Yoichi OHTA, Makoto MORI, Koji TOMA, Naoki SHOJIMA, Masaaki Graduate School of Life Science and Systems Engineering Kyushu Institute of Technology 2-4 Hibikino Wakamatsu-ku Kitakyushu Fukuoka808-0196 Japan Graduate School of Biomedical Engineering Tohoku University 6-6 Aza-Aoba Aramaki Aoba-ku Sendai Miyagi980-8579 Japan Institute of Fluid Science Tohoku University 2-1-1 Katahira Aoba-ku Sendai Miyagi980-8577 Japan Graduate School of Sciences and Technology for Innovation Yamaguchi University 2-16-1 Tokiwadai Ube Yamaguchi755-8611 Japan Graduate School of Medicine Mie University 2-174 Edobashi Tsu Mie514-8507 Japan Graduate School of Medicine Teikyo University 2-11-1 Kaga Itabashi-Ku Tokyo173-8606 Japan

Many guidewire penetration accidents occur during catheter introduction. Therefore, we have evaluated the behavior of medical devices such as guidewires and catheters during catheter introduction using numerical simulations. In our previous study, we evaluated the effects of the insertion velocity of the guidewire and the catheter and confirmed that during catheter introduction, the guidewire imparted a greater load on the vessel wall than that exerted by the guidewire alone. However, it was unclear whether the above phenomenon could also occur under other conditions. In the present study, in addition to these effects, we evaluate the effects of the blood vessel elastic modulus, device insertion length, blood vessel centerline curvature, and their interactions. Furthermore, we evaluate the behavior of the medical devices during guidewire removal after catheter introduction, which was not evaluated in our previous study. We determine the simulation conditions based on the design of experiments and investigate the dominant parameters that affect the contact force between the medical devices and the blood vessel wall using two methods (one that considers parameter interactions and one that does not). We confirm that during guidewire insertion and removal, the device velocity and the vessel centerline curvature have the largest effects, respectively. For the guidewire and the catheter during catheter introduction, the vessel elastic modulus and the insertion velocity have the largest effects, respectively, and the parameter interactions have large effects. These findings are clinically important because they are counterintuitive. During catheter introduction, the average contact forces are larger than those during both guidewire insertion and removal. Furthermore, during guidewire removal, the catheter tip moves in the distal direction. © 2025 The Japan Society of Mechanical Engineers

关键词： Catheter tip sensors

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Effect of Hybrid Surface Treatment Composed of Plasma Nitriding and DLC Coating on Friction-Wear Properties and Fatigue Strength of Alloy Tool Steel SKD11

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Zairyo/Journal of the Society of Materials science, Japan 2024年第4期73卷 328-334页

作者： Morita, Tatsuro Ding, Xiaoteng Takesue, Shogo Hirata, Kensuke Faculty of Mechanical Engineering Kyoto Institute of Technology Gosyonouchi-cho Matsugasaki Sakyo-ku Kyoto606-8585 Japan Department of Mechanical and System Engineering Graduate School of Science and Technology Kyoto Institute of Technology Gosyokaido-cho Matsugasaki Sakyo-ku Kyoto606-8585 Japan Kawasaki Nitriding Co. Ltd. Kojima-cho Kawasaki-ku Kawasaki210-0861 Japan

In this study, we investigated the effect of the hybrid surface modification composed of plasma nitriding and DLC (diamond-like carbon) coating on the friction-wear properties and fatigue strength of alloy tool steel SKD11. Plasma nitriding and DLC coating improved the friction-wear properties, respectively. The hybrid surface modification was more effective to improve the friction-wear properties, because the planarity of the DLC layers was maintained by the formed hardened layer. The increase of hydrogen quantity in the DLC layers reduced the friction coefficient and improved the wear resistance. DLC coating suppressed fatigue crack initiation from the surfaces of the untreated and plasma-nitrided materials;however, its effect was not marked to improve the fatigue strength. © 2024 The Society of Materials science, Japan.

关键词： Wear resistance

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Velocity Estimation of an Underwater Vehicle Using Doppler Shift of Positioning Signals

Velocity Estimation of an Underwater Vehicle Using Doppler S...

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2025 IEEE Underwater technology, UT 2025

作者： Tsuchiya, Atsushi Ebihara, Tadashi Wakatsuki, Naoto Yoshihara, Tohru University of Tsukuba Graduate School of Science and Technology Tsukuba Japan University of Tsukuba Institute of Systems and Information Engineering Tsukuba Japan Aomi Construction Co. Ltd. Technology Development Department Tokyo Japan

ISBN: (纸本)9798331534189

This paper proposes a method for estimating the moving velocity of underwater vehicles by utilizing the Doppler shift in positioning signals employed for time-of-arrival (ToA) acoustic positioning. The Doppler shift generated in the received signal was measured by resampling, and the moving velocity in global coordinates was estimated by finding the least-squares solution using the Doppler shift generated in the direct wave and the position measured by ToA positioning. Field experiments conducted in a real marine environment demonstrated the feasibility and effectiveness of the proposed velocity estimation method. © 2025 IEEE.

关键词： Underwater acoustics

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