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スピン軌道トルクを用いた磁化制御とそのブール論理演算およびニューロモルフィックコンピューティング素子応用
Get PDF九州工業大学九州工業大学博士学位論文（要旨）学位記番号: 情工博甲第407号 学位授与年月日:令和7年3月25日thesi
Mobile applications for skin cancer detection are vulnerable to physical camera-based adversarial attacks
Get PDFSkin cancer is one of the most prevalent malignant tumors, and early detection is crucial for patient prognosis, leading to the development of mobile applications as screening tools. Recent advances in deep neural networks (DNNs) have accelerated the deployment of DNN-based applications for automated skin cancer detection. While DNNs have demonstrated remarkable capabilities, they are known to be vulnerable to adversarial attacks, where carefully crafted perturbations can manipulate model predictions. The vulnerability of deployed medical mobile applications to such attacks remains largely unexplored under real-world conditions. Here, we investigate the susceptibility of three DNN-based medical mobile applications to physical adversarial attacks using transparent camera stickers under black-box conditions where internal model architectures are inaccessible. Through digital experiments with various DNN architectures trained on a publicly available skin lesion dataset, we first demonstrate that camera-based adversarial patterns can achieve high transferability across different models. Using these findings, we implement physical attacks by attaching optimized transparent stickers to mobile device cameras. Our results show that these attacks successfully manipulate application predictions, particularly for melanoma images, with attack success rates reaching 50–80% across all applications while maintaining visual imperceptibility. Notably, melanoma images showed consistently higher vulnerability compared to nevus images across all tested applications. To the best of our knowledge, this is the first demonstration of real-world adversarial vulnerabilities in deployed medical mobile applications, revealing significant security concerns where prediction manipulation could affect diagnostic processes. Our study demonstrates the importance of security evaluation in deploying such applications in clinical settings.journal articl
Research on the Use of ICT in Classroom Teaching by Trainee Educators: An Analysis Focusing on the Readiness of Trainee Educators
Get PDFThis study examined university students' ICT readiness, classroom implementation readiness, and their use of ICT in educational practice. Additionally, we explored whether the relationship with the supervising teacher and the school culture during educational practice influenced the use of ICT in the classroom. The results indicated that many trainees rated their ICT readiness highly. However, a relatively large number lacked confidence in their skills with spreadsheets and presentation software. The study did not clarify a specific relationship between readiness and satisfaction with ICT-enhanced teaching. No significant relationship was found between the trainees' relationship with their supervising teacher, school culture, and classroom satisfaction. However, the study identified specific difficulties students faced in using ICT in the classroom. Based on these findings, we discussed future guidance for students in teacher training, particularly regarding the integration of ICT into classroom instruction.journal articl
Introducing the Specialized Course of Computer Science in Sport as a Liberal Arts Subject at the National Institute of Technology Graduate School of Computer Science and Systems Engineering: A Case Study Examination in Performance Analysis and System Development Tasks
Get PDFThe purpose of this paper is to present a practical report on the course 'Computer Science in Sport,' which was offered as a liberal arts subject at the Graduate School of Computer Science and Systems Engineering at a regional National Institute of Technology. It shares practices and examines challenges related to performance analysis and system development proposals conducted by graduate students within the course.departmental bulletin pape
Generation of target speech with speaker individuality based on accent conversion for English pronunciation learning
Get PDFThis paper first provides an overview of the English pronunciation learning support tool. The tool aims to use accent-modified speech that retains the learner’s voice quality" as the "target speech." We propose a new conversion model based on conventional methods for this accent conversion. Specifically, we improve the conventional LSTM-based DNN model for accent conversion by adopting a transformer-based model. Our experiments investigated the model’s ability to handle the unique katakana pronunciation characteristic of Japanese speakers. The results confirmed the effectiveness of the proposed conversion method, although challenges remain, such as the scarcity of Japanese speech data and the need to improve the accuracy of speaker identity retention."journal articl
A Visibility vs. Memory Trade-Off for Stand-Up Indulgent Gathering on Lines
No full textWe consider the stronger version of the gathering problem for n autonomous mobile robots that evolve in a line graph: if there is no crash, the robots must gather as usual, and if there is a single crash location, the remaining correct robots have to gather at this location. The robots have very weak capabilities: their vision is limited and depends on the initial maximum distance between the robots, they are unaware of n, and they either retain no memory of the past, or retain a fixed number of states. In this context, we clarify the problem solvability according to visibility range and memory. If the initial number of occupied nodes is odd, we show that (i) an oblivious (that retains no past memory) algorithm can solve the problem if the visibility radius is one more hop than the trivial lower bound, and that bound is tight, and (ii) robots with one bit of persistent memory can solve the problem with optimal visibility radius, which is also tight with respect to the persistent memory. In the more relaxed setting where the initial number of occupied nodes may be even (but in that case, the distance between the border robots must be even), our one-bit memory algorithm remains valid (and optimal), while we present an oblivious algorithm for the same setting that uses two more hops than our lower bound.journal articl