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9th International Symposium on Computing and Networking Workshops, CANDARW 2021

作者： Nagao, Kosei Fujiwara, Akihiro Kyushu Institute of Technology Graduate School of Computer Science And Systems Engineering Iizuka Fukuoka820-8502 Japan

ISBN: (纸本)9781665428354

Membrane computing is a computational model inspired by living cell activity. Using the membrane computing, a number of computationally hard problems have been solved by using exponential number of natural materials. However, existing algorithms for computationally hard problems define a huge number of evolution rules to execute arithmetic *** the present paper, we propose an asynchronous P system with branch and bound for solving the subset sum problem by applying existing P systems for elementary operations. Experimental results for the proposed P system show that the proposed method contributes to the large reduction of the numbers of evolution rules and membranes. © 2021 IEEE.

关键词： Branch and bound method

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A study on the classification of red blood cells specimen and data analysis method for the diagnosis of blood disease using a digital holographic microscopy 13

A study on the classification of red blood cells specimen an...

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13th International Conference on Information and Communication technology Convergence, ICTC 2022

作者： Kim, Hyun-Woo Lee, Jaehoon Cho, Myungjin Lee, Min-Chul Kyushu Institute of Technology Dept. of Computer Science and Networks Fukuoka Iizuka Japan School of ICT Robotics and Mechanical Engineering Iitc Hankyong National University Kyonggi-do Anseong Korea Republic of

ISBN: (数字)9781665499392

ISBN: (纸本)9781665499392

Recently, there have been studied using Digital Holographic Microscopy (DHM) research and deep learning technology to analyze cells or diagnose diseases. 3D information of microscopic substances can be obtained through DHM, and several diseases can be diagnosed through the analysis of red blood cell (RBC)s in the human body. However, deep learning systems still show diagnostic results with lower accuracy than human judgment and have disadvantages in that more training data and expensive computers are needed to increase the accuracy. To overcome these shortcomings and help human judgment, this study proceeds with a study to automatically display 3D visual information and statistical data of RBC s in a system using 3D imaging technology based on DHM. Through this, depth information and shape data that are difficult to obtain with only two-dimensional information can be obtained. Therefore, using the average and variance values of each parameter as indicators, it is expected to help diagnose the presence or absence of diseases in which shape changes such as expansion or loss of groove height of the RBC occur. © 2022 IEEE.

关键词： Learning systems

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Gx2Mol: De Novo Generation of Hit-like Molecules from Gene Expression Profiles via Deep Learning

arXiv

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arXiv 2024年

作者： Li, Chen Matsukiyo, Yuki Yamanishi, Yoshihiro Graduate School of Informatics Nagoya University Chikusa Nagoya464-8602 Japan Department of Bioscience and Bioinformatics Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Fukuoka Iizuka820-8502 Japan

De novo generation of hit-like molecules is a challenging task in the drug discovery process. Most methods in previous studies learn the semantics and syntax of molecular structures by analyzing molecular graphs or simplified molecular input line entry system (SMILES) strings;however, they do not take into account the drug responses of the biological systems consisting of genes and proteins. In this study we propose a deep generative model, Gx2Mol, which utilizes gene expression profiles to generate molecular structures with desirable phenotypes for arbitrary target proteins. In the algorithm, a variational autoencoder is employed as a feature extractor to learn the latent feature distribution of the gene expression profiles. Then, a long short-term memory is leveraged as the chemical generator to produce syntactically valid SMILES strings that satisfy the feature conditions of the gene expression profile extracted by the feature extractor. Experimental results and case studies demonstrate that the proposed Gx2Mol model can produce new molecules with potential bioactivities and drug-like properties. © 2024, CC BY.

关键词： Gene expression

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Brain Function Assessment of EEG in Mild Cognitive Impairment using Timelag Analysis

IEEJ Transactions on Electronics, Information and Systems

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IEEJ Transactions on Electronics, Information and systems 2025年第4期145卷 467-473页

作者： Tanabe, Akifumi Harachi, Kento Yamamoto, Yusuke Muramatsu, Ayumi Nagahara, Hajime Takemura, Noriko Shimojo, Shinji Furihata, Daisuke Mizuno-Matsumoto, Yuko Graduate School of Information Science University of Hyogo 7-1-28 Minatojima Minami Chuo-ku Hyogo Kobe650-0047 Japan Department of Medical Engineering Aino University 4-5-4 Higashi-Ohda Ibaraki Osaka567-0012 Japan D3 Center The University of Osaka 2-8 Yamadaoka Osaka Suita565-0871 Japan D3 Center The University of Osaka 5-1 Mihogaoka Ibaraki Osaka567-0047 Japan Graduate School of Computer Science and Systems Engineering Kyushu Institute of Technology 680-4 Kawazu Fukuoka Iizuka820-8502 Japan Faculty of Software and Information Technology Aomori University 2-3-1 Shachihata Aomori-shi Aomori030-0943 Japan

This research aimed to reveal the information process in the brain of the patients who suffered from mild cognitive impairment (MCI) using the power spectra and timelag analysis in electroencephalogram (EEG). The patients with MCI have memory or thinking problems, and are at a great risk of developing Alzheimer's disease or a related dementia. Ten patients with MCI and 13 healthy adults (non-MCI) were examined. The EEGs (122.88 seconds/subject) during a state of relaxation with the eyes closed, were analyzed using the Fourier analysis (power spectrum) and the timelag analysis. The results showed that the mean value of the power spectra in MCI was significantly higher than the mean value in non-MCI in the theta band. The mean value of the absolute timelag values (ATL) in MCI was significantly lower than the mean value in non-MCI in the frontal and left temporal areas. Our findings suggest that the features from EEG of MCI were abstracted in the theta band, and the propagation of information related to memory in brain would becoming fast in MCI. © 2025 The institute of Electrical Engineers of Japan.

关键词： Electroencephalography

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A study on obtaining accurate height information of red blood cells in digital holographic microscopy (DHM)

A study on obtaining accurate height information of red bloo...

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International Conference on Control, Automation and systems ( ICCAS)

作者： Kosei Nakamura Hyun-Woo Kim Myungjin Cho Min-Chul Lee Department of Computer Science and Networks Kyushu Institute of Technology Iizuka Fukuoka Japan School of ICT Robotics and Mechanical Engineering IITC Hankyoung National University Anseong Republic of Korea

ISBN: (数字)9788993215380

ISBN: (纸本)9798331517939

Digital holographic microscopy (DHM) is used in the fields of microbiological research and disease diagnosis. Especially in the medical field, it is required to obtain the precise shape information of red blood cells and living cells for disease diagnosis. To obtain the highly accurate three-dimensional profile of an object, it is necessary to set parameters accurately on the system and perform the analysis. In DHM, it is especially important to set the refractive index of the medium surrounding the object accurately. However, the refractive index varies depending on the temperature and the humidity of the experimental environment, as well as on the sample preparation method, and it is difficult to derive the appropriate refractive index. This is a problem in the medical field, which requires the accurate three-dimensional information. Therefore, in this paper, we propose a method to derive the optimum refractive index and to obtain the accurate height information of red blood cells by conducting experiments using two types of lasers with different wavelengths and comparing the height information of red blood cells obtained with each laser. By using the proposed method, the optimu m refractive index of the surrounding medium and the accurate height information of the red blood cells are obtained.

关键词： Temperature dependence Accuracy Red blood cells Shape Microscopy Lasers Refractive index Process control Medical diagnosis Medical diagnostic imaging

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Phase Binarization in Mutually Synchronized Bias Field-free Spin Hall Nano-oscillators for Reservoir Computing

arXiv

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arXiv 2024年

作者： Manna, Sourabh Medwal, Rohit Mohan, John Rex Fukuma, Yasuhiro Rawat, Rajdeep Singh Natural Sciences and Science Education National Institute of Education Nanyang Technological University 637616 Singapore Department of Physics Indian Institute of Technology Uttar Pradesh Kanpur208016 India School of Computer Science and System Engineering Kyushu Institute of Technology Iizuka820-8502 Japan Research Center for Neuromorphic AI hardware Kyushu Institute of Technology Kitakyushu808-0916 Japan

Mutually coupled spin Hall nano-oscillators (SHNO) can exhibit binarized phase state, offering pathways to realize Ising machines and efficient neuromorphic hardware. Conventionally, phase binarization is achieved in coupled SHNOs via injecting an external microwave at twice of the oscillator frequency in presence of a biasing magnetic field. However, this technology poses potential challenges of higher energy consumption and complex circuit design. Moreover, fabrication-induced mismatch in SHNO dimensions may hinder mutual synchronization. Addressing these challenges, we demonstrate purely DC current-driven mutual synchronization and phase binarization of two non-identical nanoconstriction SHNOs without biasing magnetic field and microwave injection. We thoroughly investigate these phenomena and underlying mechanisms using micromagnetic simulation. We further demonstrate the bias field-free synchronized SHNO pair efficiently performing a reservoir computing benchmark learning task: sin and square wave classification, utilizing current tunable phase binarization. Our results showcase promising magnetization dynamics of coupled bias field-free SHNOs for future computing applications. © 2024, CC BY.

关键词： Magnetic anisotropy

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Dependence of Activation Function on Image Recognition Accuracy in Self-Referential Holographic Deep Neural Network

Dependence of Activation Function on Image Recognition Accur...

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Pacific Rim Conference on Lasers and Electro-Optics (CLEO/Pacific Rim)

作者： Rio Tomioka Masanori Takabayashi Graduate School Kyushu Institute of Technology Iizuka Fukuoka Japan Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Iizuka Fukuoka Japan Research Center for Neuromorphic AI Hardware Kyushu Institute of Technology Kitakyushu Fukuoka Japan

We numerically compared the image recognition properties of self-referential holographic deep neural network (SR-HDNN) with various activation functions. The image recognition rate was improved to 87.1% by applying in...

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Efficient spin-orbit torque driven magnetization switching of GdFe using phosphorus-implanted platinum layers

arXiv

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arXiv 2025年

作者： Shintaku, Kazuki Mathew, Arun Jacob Iwamoto, Akihisa Mohammadi, Mojtaba Awano, Hiroyuki Asada, Hironori Fukuma, Yasuhiro Department of Physics and Information Technology Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Iizuka820-8502 Japan Memory Engineering Laboratory Toyota Technological Institute Nagoya468-8511 Japan Graduate School of Sciences and Technology for Innovation Yamaguchi University Ube755-8611 Japan Research Center for Neuromorphic AI hardware Kyushu Institute of Technology Kitakyushu808-0196 Japan

The capability of the spin-orbit torque (SOT) generated via phenomena such as the spin Hall effect in heavy metals, in switching the magnetization of an adjacent magnetic material, has been studied extensively over the last decade. The efficiency of SOT generation is commonly quantified in terms of the spin Hall angle θSH. In this work, we demonstrate experimentally that implanting platinum (Pt) with phosphorus (P), resulting in Pt (P) d, where d denotes the implantation dose, increases θSH by a factor of 7, from 0.06 (d = 0) to 0.43 (d = 10 × 1016 ions/cm2). The enhanced θSH along with factors such as perpendicular magnetic anisotropy and resistivity, lead to reduction of the critical current density for switching the perpendicular magnetization of ferrimagnetic rare earth-transition metal alloy Gd26Fe74, by a factor of nearly 27, from 4.0 × 1011 A/m2 (d = 0) to 1.5 × 1010 A/m2 (d = 10 × 1016 ions/cm2). Further, the switching current density at zero thermal fluctuations and thermal stability factor were evaluated and found to be 2.0 × 1010 A/m2 and 61.4 (d = 10 × 1016 ions/cm2), with the latter being sufficiently above the required threshold for commercial memory applications. Our results suggest that Pt (P) could be a strong candidate in realizing efficient SOT driven magnetization switching leading to the development of improved memory and logic devices in the future. Copyright © 2025, The Authors. All rights reserved.

关键词： Iron alloys

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Deep Learning-Based Pixel Interpolation in Spatial-Domain Phase Shifting Digital Holography

Deep Learning-Based Pixel Interpolation in Spatial-Domain Ph...

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Pacific Rim Conference on Lasers and Electro-Optics (CLEO/Pacific Rim)

作者： Shu Kajitani Masanori Takabayashi School of Computer Science and Systems Engineering Kyushu Institute of Technology 680-4 Kawazu Iizuka Fukuoka Japan Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology 680-4 Kawazu Iizuka Fukuoka Japan Research Center for Neuromorphic AI Hardware Kyushu Institute of Technology Kitakyushu Fukuoka Japan

We propose to apply deep learning to interpolate missing pixels in interferograms acquired by the spatial-domain phase-shifting interferometry (PSI), and numerically evaluate the quality of object light reconstructed ...

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An asynchronous P system for solving the maximum clique problem with the Bron-Kerbosch algorithm

An asynchronous P system for solving the maximum clique prob...

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International Symposium on Computing and Networking Workshops (CANDARW)

作者： Takuya Noguchi Akihiro Fujiwara Graduate School of Computer Science and Systems Engineering Kyushu Institute of Technology Iizuka Fukuoka Japan

Membrane computing, which is also known as a P system, is a computational model inspired by the activity of living cells. Several P systems, which work in a polynomial number of steps, have been proposed for solving computationally hard problems. However, most of the proposed algorithms use an exponential number of membranes, and reduction of the number of membranes must be considered in order to make a P system a more realistic model. In the present paper, we propose an asynchronous P system based on the Bron-Kerbosch algorithm for solving the maximum clique problem with fewer membranes. The proposed P system solves the maximum clique with $n$ vertices in $O(n^system)$ parallel steps or $O(n^system2^{n})$ sequential steps. We evaluate the number of membranes used in the proposed P system and compare it with the numbers of membranes used in known P systems. Our experimental results demonstrate the validity and efficiency of the proposed P system.

关键词： Computational modeling Conferences

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