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7th IEEE Conference on Dependable and Secure Computing, DSC 2024

作者： Sato, Masaya Mandai, Ryuki Okayama Prefectural University Faculty of Computer Science and Systems Engineering Soja Japan Graduate School of Computer Science and Systems Engineering Okayama Prefectural University Soja Japan

ISBN: (纸本)9798331540289

The number of phishing websites is increasing, and the methods used to direct users to these sites are becoming more diverse. As web push notifications become more widespread, adversaries have begun using them as a method to direct users to phishing websites, known as phishing web push notifications. While protection against other phishing methods has been widely studied, countermeasures against phishing web push notifications remain an ongoing research topic. In this paper, we explore a method to control the display of web push notifications to protect users from phishing attempts. To minimize the cost of implementing and introducing the control mechanism, we utilized a browser extension to manage the display of web push notifications. We employed a keyword-based approach to detect and prevent the display of suspicious web push notifications. Our experimental results demonstrated that the proposed method effectively blocks phishing notifications. © 2024 IEEE.

关键词： Phishing

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Parameter Tuning in Automatic Detection Algorithm for Detecting Artificial Brain Shift 24

Parameter Tuning in Automatic Detection Algorithm for Detect...

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6th International Conference on Intelligent Medicine and Image Processing, IMIP 2024

作者： Watanabe, Kaoru Noborio, Hiroshi Koeda, Masanao Department of Computer Science Osaka Electro-Communication University Japan Faculty of Computer Science and Systems Engineering Okayama Prefectural University Japan

ISBN: (纸本)9798400710032

In neurosurgery to remove brain tumors, DICOM data, a medical imaging standard, is generated preoperatively using CT and MRI. This data is used for surgical planning. However, brain deformation problems, known as brain shift, occur during surgery, resulting in discrepancies from the preoperative surgical plan. Deviations from the surgical plan due to brain shift are a life-threatening problem as they reduce the success rate of surgery. Brain shifts have not yet been elucidated, and DICOM data acquired from MRIs and CTs for surgical planning remain stored and archived in hospital information centers. Here, it is planned to extract the physical parameters of the brain model from a large amount of brain deformation data using pre- and post-operative brain DICOM pairs, which are stored in large quantities in hospitals and discarded after a particular time. This study investigates the optimization of parameters in the brain shift detection algorithm. © 2024 ACM.

关键词： Digital Imaging and Communications in Medicine (DICOM)

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Enhancing the Generalization Performance of Drowsiness Estimation AI in Drivers Using Time-Series Data from FAUs with Limited Datasets 15

Enhancing the Generalization Performance of Drowsiness Estim...

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15th International Congress on Advanced Applied Informatics Winter, IIAI-AAI-Winter 2023

作者： Kubo, Tomoya Yokogawa, Tomoyuki Arimoto, Kazutami Hokari, Masaki Kayano, Isao Okayama Prefectural University Faculty of Computer Science and Systems Engineering Soja Okayama Japan Kawasaki University of Medical Welfare Faculty of Health Science and Technology Kurashiki Okayama Japan

ISBN: (纸本)9798350383829

We developed an AI for Facial Expression Estimation to predict driver drowsiness levels, mimicking human evaluation. Traditional Image-based AIs struggle with limited data generalization in drowsiness prediction. Our proposed AI framework overcomes this by extracting Facial Action Units (FAU) from facial images, using these dynamic expression elements as primary features, making evaluation more humanlike. In our study involving 19 participants, we validated the generalization performance using a Gated Recurrent Unit (GRU) with FAU values and compared it with a Convolutional Neural Network (CNN) model based on VGGFACE (ResNet50). The proposed method demonstrated enhanced performance, showcasing potential improvements in drowsiness estimation with limited data, expecting to significantly reduce the data required for accurate drowsiness level estimation. Furthermore, the results obtained through the process of improving generalization performance imply that there exists a trade-off relationship between performance specialized to specific individuals and generalized performance in learning models utilizing features such as FAUs. © 2023 IEEE.

关键词： Advanced driver assistance systems

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A Study of Color Notation for Optical Properties of a Thin Layer having Multiple Reflection Peaks

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IEEJ Transactions on Fundamentals and Materials 2022年第7期142卷 341-342页

作者： Shiojiri, Toya Wakabayashi, Hideaki Arai, Tsuyoshi Inai, Hiroshi Faculty of Computer Science and Systems Engineering Okayama Prefectural University 111 Kuboki Soja719-1197 Japan

This study deals with structural coloration caused the optical properties having multiple reflection peaks. Getting the dominant wavelengths and the color coordinates in sRGB color space from the reflection by thin layer interference, we numerically consider the color notation and show the visible color. Moreover, we consider a multilayer model that applies thin layer interference. Numerical results for the multilayer model show wavelengths selectivity. © 2022 The Institute of Electrical Engineers of Japan.

关键词： Color

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Analysis of synchronized behaviour of two metronomes: experimental verification

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SICE Journal of Control, Measurement, and System Integration 2021年第1期14卷 291-299页

作者： Izumi, Shinsaku Faculty of Computer Science and Systems Engineering Okayama Prefectural University Okayama Japan

In this paper, we experimentally evaluate the performance of a method for theoretically analysing the synchronized behaviour of two metronomes on a hanging plate using the describing function approach, proposed in our previous work. This is because the performance evaluation for real systems is important for practical application, but it was not conducted previously. By applying the analysis method to an experimental system with real metronomes, we demonstrate that the analysis results similar to experimental ones are obtained even though there are some approximations associated with the use of the describing function approach. This indicates that our analysis method is applicable to the synchronized behaviour of real metronomes. © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group, on behalf of the Society of Instrument and Control Engineers.

关键词： Synchronization

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Food Volume Prediction and Classification using Multi-Task Learning 6

Food Volume Prediction and Classification using Multi-Task L...

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6th World Symposium on Artificial Intelligence, WSAI 2024

作者： Sari, Yuita Arum Nakazawa, Atsushi Gofuku, Akio Graduate School of Interdisciplinary Science and Engineering in Health Systems Okayama University Okayama Japan Brawijaya University Faculty of Computer Science Malang Indonesia

ISBN: (纸本)9798350374162

Food volume prediction is critical for calculating calories in food analysis and nutritional evaluation. However, obtaining data and measuring volume from the 3D sensor camera concurrently is time-consuming. Additionally, high computing power is necessary to compute the volume. Therefore, machine learning techniques are employed to extract specific data collected from the data collection process for learning purposes to save time. In this study, we employ Multi-Task Learning to predict volume and categorize food due to their interdependence simultaneously. We evaluate several backbones and find that ResNet50 attains the best performance with an MAE of 4.87 for volume prediction and 100% food classification accuracy. Our proposed method showcases outstanding results, aided by an efficient volume measurement methodology © 2024 IEEE.

关键词： food volume prediction machine learning multi-task learning

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A Trend Analysis of Test Smells in Python Test Code Over Commit History 49

A Trend Analysis of Test Smells in Python Test Code Over Com...

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49th Euromicro Conference on Software engineering and Advanced Applications, SEAA 2023

作者： Fushihara, Yuki Aman, Hirohisa Amasaki, Sousuke Yokogawa, Tomoyuki Kawahara, Minoru Ehime University Faculty of Engineering Department of Computer Science Ehime790-8577 Japan Ehime University Center for Information Technology Ehime790-8577 Japan Okayama Prefectural University Faculty of Computer Science and Systems Engineering Okayama719-1197 Japan

ISBN: (纸本)9798350342352

Software testing is an essential activity for developing and maintaining high-quality software. Unit testing with test code (test cases) is a fundamental testing activity, and developers can test their production code whenever they create or modify the code. However, such quality assurance relies on the correctness of the test code. If a test code had a flaw, it would mislead the developers about the hidden faults and prevent early detection of the faults. This paper focuses on "test smells,"which may cause test code flaws in Python programs, and analyzes their changing trends over commit history (code changes) toward better Python test code management. Through an empirical data analysis of 100 open-source projects, the paper reports the following findings: (1) a few kinds of test smells constitute the majority of smells detected in the studied projects, and (2) most kinds of smells tend to increase over commits, i.e., many test smells are likely to have remained in test code as technical debt. © 2023 IEEE.

关键词： Python

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A Multi - Aspect Evaluation of DL-based SQLi Attack Detection Models 22

A Multi - Aspect Evaluation of DL-based SQLi Attack Detectio...

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22nd IEEE/ACIS International Conference on Software engineering Research, Management and Applications, SERA 2024

作者： Leelaprute, Pattara Kase, Yuki Amasaki, Sousuke Aman, Hirohisa Yokogawa, Tomoyuki Kasetsart University Department of Computer Engineering Faculty of Engineering Bangkok Thailand Okayama Prefectural University Department of Systems Engineering Soja Japan Center for Information Technology Ehime University Matsuyama Japan

ISBN: (纸本)9798350391343

CONTEXT: Web applications are exposed to malicious accesses through the Internet. SQL injection (SQLi) attacks are still a typical threat to web application providers. Although recent studies proposed deep learning-based SQLi attack detection models with high performance, those studies were not evaluated under the same conditions. Crucial aspects other than the predictive performance were also overlooked. OBJECTIVE: To evaluate SQLi attack detection models from multi-aspects related to its operation. METHOD: Three aspects, namely, predictive performance, detection speed, and operation costs, were applied to deep learning-based SQLi attack detection models. RESULTS: No DL-based model beaten a conventional machine learning-based model, Random Forests. CONCLUSION: Researchers must evaluate DL-based SQLi attack detection models with conventional ones with hyper-parameter tuning. © 2024 IEEE.

关键词： Contrastive Learning

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Control Displaying of Web Push Notifications Inducing Users to Phishing Websites

Control Displaying of Web Push Notifications Inducing Users ...

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IEEE Conference on Dependable and Secure Computing

作者： Masaya Sato Ryuki Mandai Faculty of Computer Science and Systems Engineering Okayama Prefectural University Soja Japan Graduate School of Computer Science and Systems Engineering Okayama Prefectural University Soja Japan

ISBN: (数字)9798331540289

ISBN: (纸本)9798331540296

关键词： Costs Phishing Buildings Prototypes Browsers Protection

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Strong stabilization of two-link underactuated planar robots

Strong stabilization of two-link underactuated planar robots

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2022 Chinese Automation Congress, CAC 2022

作者： Wang, Ziyu Xin, Xin Liu, Yannian Southeast University School of Automation Nanjing China Okayama Prefectural University Faculty of Computer Science and Systems Engineering Okayama Japan

ISBN: (纸本)9781665465335

Strong stabilization refers to designing stable feedback controllers that stabilize a given plant. The second-order stable stabilizing controller design of two-link underactuated planar robots around their UEP (Upright Equilibrium Point) is concerned in this paper. The proposed method can obtain explicit transfer function of the controller by solving a set of inequalities, which is relatively more concise and the final set of stable controllers is larger than the existing results. Simulation results of both the Acrobot and the Pendubot are presented to verify the effectiveness and robustness of proposed stabilizing controllers. © 2022 IEEE.

关键词： Controllers

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