Faculty Profiles - ARAKI Shunsuke

Papers - ARAKI Shunsuke

Division display1 - 20 of about 69／ All the affair displays >>

Synchronization of Chaotic Extremum-Coded Random Number Generators and Its Application to Segmented Image Encryption Reviewed International journal

Araki S., Wu J.H(National Chin-Yi University of Technology)., Yan J.J.(National Chin-Yi University of Technology)

Mathematics 12 ( 19 ) 2024.10

A Deployment of Ensemble-Based IDS on Raspberry Pi Reviewed International journal

Musthafa M.B., Huda S., Shamim S.M., Kodera Y., Mwaura J., Araki S., Nogami Y.

GCCE 2024 - 2024 IEEE 13th Global Conference on Consumer Electronics 184 - 185 2024.10

Relation between Recognition Accuracy and Object's Occupancy in CAPTCHA Image Using Weave Filters Reviewed International journal

Hayashi N., Miyazaki T., Araki S., Uehara S.

11th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2024 401 - 402 2024.07

Optimizing IoT Intrusion Detection Using Balanced Class Distribution, Feature Selection, and Ensemble Machine Learning Techniques Reviewed International journal

Musthafa M.B., Huda S., Kodera Y., Ali M.A., Araki S., Mwaura J., Nogami Y.

Sensors 24 ( 13 ) 2024.07

A Study on a New Pseudorandom Number Generator with Deterministic Maze Construction Reviewed International journal

Miyazaki T., Araki S., Uehara S.

11th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2024 393 - 394 2024.07

A Novel Design of Random Number Generators Using Chaos-Based Extremum Coding Reviewed

Shunsuke Araki, Ji-Han Wu, Jun-Juh Yan(National Chin-Yi University of Technology)

IEEE Access ( IEEE ) 12 24039 - 24047 2024.02

Language：English Publishing type：Research paper (scientific journal)

This paper proposes a new chaos-based extremum coding method to realize a true random number generator (RNG). Based on the chain rule, we innovatively introduce two parameters into the dynamics of chaotic systems to modulate the speed and amplitude of state responses. Then, by discretizing the continuous modulated chaotic system, the corresponding discrete chaotic system can be obtained, which allows the use of low-cost micro-controllers for implementation, enhancing system stability, and reducing costs. Also, a novel chaos-based extremum coding approach is proposed for generating a random extremum-coded sequence (RECS). Using this RECS to switch and decide modulation parameters significantly improves the randomness of the sequences generated by the RNGs. To highlight the contribution of this RNG design, the randomness and security of the RNGs are evaluated by statistical tests such as NIST, Diehard, and ENT. Through comparisons with recent published works, the results show that the proposed chaotic extremum-coded RNG can demonstrate superior performance with a higher level of randomness.

DOI： 10.1109/ACCESS.2024.3365638

Kyutacar

A Study on DDoS Attacks Detection on IoT Devices Using Machine Learning for Microcontrollers Reviewed International journal

Jedidah M Mwaura,Shunsuke Araki,Ken'ichi Kakizaki

Proc. of IEEE 42nd International Conference on Consumer Electronics 1 - 4 2024.01

Authorship：Corresponding author Language：English Publishing type：Research paper (international conference proceedings)

USA Las Vegas 2024.01.05 - 2024.01.08

In recent years, there has been a proliferation of Internet of Things (IoT) devices, and so has been the attacks on them. In this paper we will propose a methodology to detect Distributed Denial of Service (DDoS) attacks on IoT devices using Machine Learning for Microcontrollers or TinyML. We will discuss a model which we made for Arduino Nano 33 BLE Sense using Machine Learning for Microcontrollers or TinyML. Additionally, we will discuss results of our proposal in detecting DDoS attacks on IoT devices. Lastly, we will describe the feasibility of our model on IoT devices.

Some Properties of Well-Balanced Sequences Obtained from Two Logistic Maps over Integers Reviewed International journal

H. Fujii, S. Uehara, T. Miyazaki, S. Araki, Y. Nogami

2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings 525 - 526 2023.07

How to Construct Pseudorandom Bit Sequences from Mazes by a Method Digging Out Walls Reviewed International journal

T. Miyazaki, S. Araki, S. Uehara

2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings 539 - 540 2023.07

A Study on Guessing plaintexts by Neural Network against Data Encryption Standard (DES) Reviewed International journal

Kawano M., Peng S., Araki S., Kakizaki K.

2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings 531 - 532 2023.07

Authorship：Corresponding author Language：English Publishing type：Research paper (international conference proceedings)

Taiwan Ping Tung 2023.07.17 - 2023.07.19

DOI： 10.1109/ICCE-Taiwan58799.2023.10226974

Scopus

Other Link： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85174944682&origin=inward

A Study on a Full-node Problem of the Domain Name System based on Ethereum Reviewed International journal

S. Peng, S. Araki, K. Kakizaki

2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings 529 - 530 2023.07

Authorship：Corresponding author Language：English Publishing type：Research paper (international conference proceedings)

Taiwan PingTung 2023.07.17 - 2023.07.19

DOI： 10.1109/ICCE-Taiwan58799.2023.10227070

Scopus

Other Link： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85174944409&origin=inward

A METHOD FOR IMPROVING THE ACCURACY OF SFM 3D MEASUREMENTS BY RANDOM PATTERN PROJECTION Reviewed

SUGANO Miki, KAKIZAKI Ken’ichi, TOMINAGA Yasumasa, ARAKI Shunsuke

AIJ Journal of Technology and Design ( Architectural Institute of Japan ) 29 ( 71 ) 533 - 537 2023.02

Language：Japanese Publishing type：Research paper (scientific journal)

SfM can reconstruct the 3D shape of an object with high accuracy if there are many feature points on the surface to be measured. However, in the field of architecture, there is a problem that building surfaces are beautifully preserved and the shape cannot be reconstructed because of the small number of feature points. In this study, we proposed a method to improve the measurement accuracy of SfM by projecting a random pattern on a wall surface and distributing a large number of feature points. Experiments confirmed that the measurement accuracy was as good as that of a laser scanner.

DOI： 10.3130/aijt.29.533

CiNii Research

Damage Detection of the RC Building in TLS Point Clouds Using 3D Deep Neural Network Reviewed

SHAO Wanpeng, KAKIZAKI Ken'ichi, ARAKI Shunsuke, MUKAI Tomohisa

Journal of the Japan Society for Precision Engineering ( The Japan Society for Precision Engineering ) 89 ( 1 ) 70 - 76 2023.01

Language：English Publishing type：Research paper (scientific journal)

Nowadays, it is possible to capture the whole surface areas of buildings in three-dimensional point clouds using laser scanners. However, it is still challenging to find the damaged areas of the building data automatically. The objective of the study is to investigate the use of deep neural networks in combination with the building data captured by the terrestrial laser scanner for damage detection. The post-seismic building data for our experiments is from a structural lab. To find out what kinds of DNNs are useful for damage detection, the deep neural networks we choose are PointNet and PointNet++ (MSG, MRG, and SSG). Since innovative DNNs can only directly operate on small 3D rigid models, we transform the detection problem into a classification problem by voxelizing the whole façade before feeding into the 3D DNNs. Meanwhile, we find a pair of optimal parameters after investigating the impact of different point sizes and voxel sizes on detection results. By comparison, we perform a point-based classification by Random Forest to highlight the effectiveness of our approach.

DOI： 10.2493/jjspe.89.70

CiNii Research

Other Link： https://www.jstage.jst.go.jp/article/jjspe/89/1/89_70/_pdf

Reflections Removal Produced by Multiple Transparent and Reflective Glass Objects in TLS Measurements Reviewed International journal

Shao W., Kakizaki K., Araki S., Mukai T.

Proceedings - International Computer Software and Applications Conference 2023-June 370 - 379 2023.01

Identification of Transparent and Specular Reflective Windows from Terrestrial Laser Scanner Data with Intensity Values Reviewed International journal

Wanpeng Shao, Ken'ichi Kakizaki, Shunsuke Araki, Tomohisa Mukai

Proc. of 2022 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW) 1 - 2 G1(Intelligent Multimedia Processing and Analysis)-1 2022.07

A Study on Parameters of Piecewise Logistic Map over Large Integers and Processing Time Reviewed International journal

Ryo Inoue, Takeru Miyazaki, Shunsuke Araki, Satoshi Uehara

Proc. of 2022 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW) 1 - 2 C5(Advanced Cryptography and its Applications)-3 2022.07

A Study on a DDH-Based Keyed Homomorphic Encryption Suitable to Machine Learning in the Cloud Reviewed International journal

Takuya Tsuruta, Shunsuke Araki, Takeru Miyazaki, Satoshi Uehara, Ken'ichi Kakizaki

Proc. of 2022 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW) 1 - 2 C5(Advanced Cryptography and its Applications)-2 2022.07

Inspection Support System for Aging Buildings Using Virtual Reality Technology Reviewed International journal

Wanpeng Shao, Ayumu Sasaki, Ken'ichi Kakizaki, Shunsuke Araki, Tomohisa Mukai

Proc. of 2022 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW) 1 - 2 A5(Virtual Reality, Augmented Reality, and Displays)-1 2022.07

Improving Motivation Control in Personal Software Process Education Course with a Qualitative Approach Reviewed International journal

Kusakabe Shigeru, Araki Shunsuke, Katamine Keiichi, Umeda Masanobu

International Journal of Learning Technologies and Learning Environments ( International Institute of Applied Informatics ) 5 ( 1 ) 1 - 14 2022.02

A HIGH-PRECISION 3D LASER MEASUREMENT METHOD BASED ON ESTIMATION OF TRUE VALUES BY HIGH-DENSITY MEASUREMENTS AND CALCULATION OF DIFFERENCES BETWEEN MEASUREMENT DATA OF TWO TIMES Reviewed

KAKIZAKI Ken’ichi, MUKAI Tomohisa, ARAKI Shunsuke

AIJ Journal of Technology and Design ( Architectural Institute of Japan ) 28 ( 68 ) 515 - 520 2022.02

Language：Japanese Publishing type：Research paper (scientific journal)

3D laser measurement has a problem that the measurement precision is not sufficient for damage analysis of buildings. In addition, when there is an unevenness in the measurement target, it is difficult to distinguish whether it is an initial shape or damage. In this paper, we propose a method to reduce the measurement error by processing the high-density laser measurement data with statistical methods. In addition, we propose a method to detect the damaged area by comparing the initial shape data of the measured object with the newly measured data.

DOI： 10.3130/aijt.28.515

Scopus

CiNii Article

CiNii Research

Other Link： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85125016347&origin=inward

　PREV- NEXT 　

<ARAKI Shunsuke>

Papers - ARAKI Shunsuke