Faculty Profiles - ARAKI Shunsuke

Papers - ARAKI Shunsuke

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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

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

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

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

Automated Two-Stage Approach for Damage Detection of Surface Defects in Historical Buildings Reviewed International journal

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

Proceedings - 2022 IEEE 46th Annual Computers, Software, and Applications Conference, COMPSAC 2022 1816 - 1821 2022.01

A Study on the Creation of 3D Models of Cultural Properties by SfM Using an Elaborate Diorama of a Non-Existing Excavation Site Reviewed International journal

Miki Sugano, Wanpeng Shao, Ken'ichi Kakizaki, Shunsuke Araki

Proc. of The 20th International Conference on Computer and Information Technology (CIT-2021) (IEEE Computer Society Press) ( IEEE ) 2021.12

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

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

Proceedings - 23rd IEEE International Symposium on Multimedia, ISM 2021 39 - 42 2021.11

A Study on Use of Machine Learning to Evaluate the Security of Common Key Cryptosystem Reviewed International journal

Inomata A., Araki S., Kakizaki K.

2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021 2021.09

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

Taiwan (オンライン) Penghu 2021.09.15 - 2021.09.17

DOI： 10.1109/ICCE-TW52618.2021.9602938

Scopus

Other Link： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85123051008&origin=inward

A Study on Relationship Between Period and Number of Divisions in Piecewise Logistic Map over Integers Reviewed International journal

Eguchi S., Miyazaki T., Uehara S., Araki S., Nogami Y.

2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021 2021.09

A Study on Digital Watermarks for Audio Signals Using Phase of Frequency Signals in Addition to the Other Methods Reviewed International journal

Takahashi K., Miyazaki T., Araki S., Uehara S., Nogami Y.

2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021 2021.09

A Study on Control Parameter and Output Sequence of the Logistic Map over Integers for Pseudorandom Number Generation Reviewed International journal

Osono G., Araki S., Miyazaki T., Uehara S., Kakizaki K.

2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021 2021.09

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

Taiwan (オンライン) Penghu 2021.09.15 - 2021.09.17

DOI： 10.1109/ICCE-TW52618.2021.9603001

Scopus

Other Link： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85123046543&origin=inward

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Papers - ARAKI Shunsuke