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arXiv 2020年

作者： Koyano, Yuki Kitahata, Hiroyuki Hasegawa, Koji Matsumoto, Satoshi Nishinari, Katsuhiro Watanabe, Tadashi Kaneko, Akiko Abe, Yutaka Department of Physics Graduate School of Science Tohoku University Sendai Miyagi980-8578 Japan Department of Physics Graduate School of Science Chiba University Chiba263-8522 Japan Faculty of Engineering Kogakuin University Shinjuku-ku Tokyo163-8677 Japan Human Space Flight Technology Directorate Japan Space Exploration Agency Tsukuba Ibaraki305-8505 Japan Research Center for Advanced Science and Technology University of Tokyo Meguro-ku Tokyo153-8904 Japan Research Institute of Nuclear Engineering University of Fukui Tsuruga Fukui914-0055 Japan Graduate School of System and Information Engineering University of Tsukuba Tsukuba Ibaraki305-8573 Japan

The two mixing processes of a fluid, the agitation and diffusion, are often considered separately since they are dominant in different spatial scales. However, the recent experimental results indicate that the diffusion is enhanced by a time-reversible flow induced inside a levitated droplet [Watanabe et al. Sci. Rep. 8, 10221 (2018)]. In the present paper, we focus on the diffusion process coupled with the oscillatory flow, which cannot convect the solutes in time average. We theoretically derived that the diffusion process can be enhanced by the oscillatory flow, and the results are confirmed by numerical calculation of the over-damped Langevin equation with an oscillating flow. Copyright © 2020, The Authors. All rights reserved.

关键词： Oscillating flow

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Decomposing and Cluster Refinement Design Method for Application-Specific Network-on-Chips

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Journal of Shanghai Jiaotong university(science) 2018年第2期23卷 235-243页

作者： MA Jiayi HAO Cong WANG Kundong Department of Instrument Science and Engineering Shanghai Jiao Tong University Shanghai 200240 China Graduate School of Information Production and System Waseda University Kitakyushu-shi 808-0135 Japan

Along with higher and higher integration of intellectual properties(IPs) on a single chip, traditional bus-based system-on-chips(So C) meets several design difficulties(such as low scalability, high power consumption,packet latency and clock tree problem). As a promising solution, network-on-chips(No C) has been proposed and widely studied. In this work, a novel algorithm for No C topology synthesis, which is decomposing and cluster refinement(DCR) algorithm, has been proposed to minimize the total power consumption of application-specific No C. This algorithm is composed of two stages: decomposing with cluster generation, and cluster *** partitioning and cluster generation, an initial low-power solution for No C topology is generated. For cluster refinement, the clustering is optimized by performing floorplan to further reduce power consumption. Meanwhile,a good tradeoff between power consumption and CPU time can be achieved. Experimental results show that the proposed method outperforms the existing work.

关键词： network-on-chips(NoC) partitioning cluster generation low-power solution

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Preparation, characterization and tribological properties of diamond-like carbon film on AZ31 magnesium alloy 5th

Preparation, characterization and tribological properties of...

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5th International Conference on Nanomechanics and Nanocomposites, ICNN5 2018 and the 2nd FIT-ME Symposium, 2018

作者： Han, Beibei Ju, Dongying Sato, Susumu Zhao, Huijun Department of Electronic Engineering Graduate School of Engineering Saitama Institute of Technology Fukaya369-0293 Japan Advanced Science Institute Saitama Institute of Technology Fukaya369-0293 Japan Ningbo Institute of Materials Industry Innovation Ningbo315000 China Department of Information System Fukaya369-0293 Japan Hangzhou Dianzi University Hangzhou310000 China

ISBN: (纸本)9783035714371

In this study, DLC films were deposited using IBED with various CH4/H2 ratio, gas flow rates and accelerating voltages. The composition and mechanical properties of the DLC coatings were characterized using SEM, Raman spectroscopy and nano-indentor. The tribological properties of the coating were also investigated using a frictional surface microscope with an in situ observation system and friction force measurements. The DLC films were characterized by a lower ID/IG, higher hardness, and improved tribological properties when deposited at a lower accelerating voltage (6 kV). At the CH4/H2 ratio of 1:99 and 6 sccm/6 kV, minimum ID/IG values of 0.62, relatively low friction coefficient of 0.12, and a maximum hardness of 4056 HV were attained respectively. © 2019 Trans Tech Publications Ltd, Switzerland.

关键词： Magnesium alloys

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A Human-Friendly Communication Robot for Public Service Based on iBeacon Technology

A Human-Friendly Communication Robot for Public Service Base...

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International Conference on Technologies and Applications of Artificial Intelligence (TAAI)

作者： Lianchao Li Shuai Shao Naoyuki Kubota Chang-Shing Lee Graduate School of System Design Tokyo Metropolitan University Tokyo Japan Computer Science and Information Engineering National University of Tainan Tainan Taiwan

This paper described a view about using human-friendly communication robots in service-centric systems. How-ever, the complete interaction between robots and human is extremely complicated. In this study, we focus on how to use human-friendly communication robots to improve human interaction, when people communicate with robots for the first time. Two people who speak different languages are often inefficient and misunderstood when communicating. Especially when traveling abroad or exhibiting, language barriers will reduce people's enthusiasm. We suggest to using human-friendly communication robot to automatically communicate with people in the language that the people are familiar with in order to bring more motion and satisfaction to people. In this paper, we proposed a method for human-friendly communication robot to identify the user information with utilizing iBeacon device. We introduced our communication robot, and then we made a preliminary experiment in our laboratory. We summarized the experimental setup and discussed the experimental results, then described our future work on this project.

关键词： Service robots Quality of service Robot sensing systems Base stations Games User experience

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Uncovering why deep neural networks lack robustness: Representation metrics that link to adversarial attacks

arXiv

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arXiv 2019年

作者： Vargas, Danilo Vasconcellos Kotyan, Shashank Matsuki, Moe Faculty of Information Science and Electrical Engineering Kyushu University Japan Department of Computer Science and Engineering Dr. SPM IIIT-NR India Department of Applied Science for Integrated System Engineering Graduate School of Engineering Kyushu Institute of Technology University Japan

Neural networks have been shown vulnerable to adversarial samples. Slightly perturbed input images are able to change the classification of accurate models, showing that the representation learned is not as good as previously thought. To aid the development of better neural networks, it would be important to evaluate to what extent are current neural networks' representations capturing the existing features. Here we propose a test that can evaluate neural networks using a new type of zero-shot test, entitled Raw Zero-Shot. This test is based on the principle that some features are present on unknown classes and that unknown classes can be defined as a combination of previous learned features without learning bias. To evaluate the soft-labels of unknown classes, two metrics are proposed. One is based on clustering validation techniques (Davies-Bouldin Index) and the other is based on soft-label distance of a given correct soft-label. Experiments show that such metrics are in accordance with the robustness to adversarial attacks and might serve as a guidance to build better models as well as be used in loss functions to improve the models directly. Interestingly, the results suggests that dynamic routing networks such as CapsNet have better representation while some DNNs might be trading off representation quality for accuracy. Copyright © 2019, The Authors. All rights reserved.

关键词： Deep neural networks

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Investigate of correlation between mango color and sugar content : Classification system by image analysis

Investigate of correlation between mango color and sugar con...

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International Conference on Intelligent Informatics and Biomedical sciences (ICIIBMS)

作者： Yasushi Shiroma Itaru Nagayama Hitoshi Afuso Shiro Tamaki Graduate School of Science and Engineering University of the Ryukyus Nishihara Okinawa Information Technology & Intelligent System University of the Ryukyus Nishihara Okinawa Civil Engineering and Architecture University of the Ryukyus Nishihara Okinawa

Mango's grade is determined by its color and sugar content. However currently it is done by human visually. Visual inspection of grade of mango is human power consuming operation. To this end, the system to classify mangoes by their images has been developed. Traditional system is based on the color histograms of mangoes and thresholding their feature. However traditional research did not validate the assumption that there is correlation between mango's color, And its sugar content and the assumption is essential for image-based classification approach. To this end, authors showed the evidence that there is some correlation between mango's color and its sugar content.

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Beamspace MUSIC Algorithm based on Space-time Array Signal Model

Beamspace MUSIC Algorithm based on Space-time Array Signal M...

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2019 3rd International Conference on Data Mining, Communications and information Technology (DMCIT 2019)

作者： B Yang B Yang C Wang H X Shen Zhengzhou Information Science and Technology Institute National Digital Switching System Engineering and Technology Research Center Graduate School of Chinese Academy of Social Sciences

This paper is devoted to the direction-of-arrival(DOA) algorithm in the moving array scenario.A beamspace MUSIC algorithm based on space-time signal model is proposed to cope with this ***,the DOA information contained in Doppler shift is used to combine with the array spatial information,thus constructing a space-time signal ***,allowing for the considerable dimension and complexity of the space-time model,we transform the array sensor data into beamspace to reduce the computation *** introduction of Doppler information leads to significant enhancement in algorithm *** results demonstrate the promotion of proposed algorithm.

关键词： DOA Beamspace MUSIC Algorithm based on Space-time Array Signal Model

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Room-Temperature Charge-to-Spin Conversion from Quasi-2D Electron Gas at SrTiO3-Based Interfaces

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physica status solidi (RRL) – Rapid Research Letters 2023年第6期17卷

作者： Utkarsh Shashank Angshuman Deka Chen Ye Surbhi Gupta Rohit Medwal Rajdeep Singh Rawat Hironori Asada X. Renshaw Wang Yasuhiro Fukuma Department of Physics and Information Technology Faculty of Computer Science and System Engineering Kyushu Institute of Technology 680-4 Kawazu Iizuka 820-8502 Japan Birck Nanotechnology Center School of Electrical and Computer Engineering Purdue University West Lafayette IN 47907 USA School of Physical and Mathematical Sciences Nanyang Technological University 637616 Singapore Natural Sciences and Science Education National Institute of Education Nanyang Technological University 637616 Singapore Department of Physics Indian Institute of Technology Kanpur Kanpur 208016 India Graduate School of Sciences and Technology for Innovation Yamaguchi University 2-16-1 Tokiwadai Ube 755-8611 Japan School of Electrical and Electronic Engineering Nanyang Technological University 639798 Singapore Research Center for Neuromorphic AI hardware Kyushu Institute of Technology Kitakyushu 808-0196 Japan

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Synthesizing NPR Styled Street View Animation Based on Deep Learning

Synthesizing NPR Styled Street View Animation Based on Deep ...

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International Conference on Technologies and Applications of Artificial Intelligence (TAAI)

作者： Lieu-Hen Chen Cheng-Yu Sun Yasufumi Takama Department of Computer Science and Information Engineering National Chi Nan University Puli Taiwan Graduate school of System Design Tokyo Metropolitan University Tokyo Japan

More and more serious natural disasters happen nowadays. The inheritance of memories across generations consequently faces bigger challenges, since the traditional devices of saving memories such as diary, album, video tape, and even computer may be permanently damaged or lost during the disasters. Meanwhile, both of the software and hardware technologies keep advancing day by day. Thousands of hometown images have been saved on the Cloud by many internet services, such as Google Map and Google Street View. This gave us a new way to share our precious memories with our families and friends through the internet. However, these web services cannot do everything as we expected. For example, Google Street View images cannot show people under various weather conditions like rainy day or starry night. Therefore, we developed a street navigation system based on the image resources of Google Street View in this paper. By applying different visual effects on different regions, which are image segmented, based on deep learning technologies, this system creates vivid NPR (Non-Photorealistic Rendering) animations. In this way, we can create interesting weather effects and retouch the street images with more richness and variety.

关键词： Image color analysis Deep learning Google Image segmentation Navigation Rendering (computer graphics) Object detection

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Operational formulation of weak values without probe systems

arXiv

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arXiv 2019年

作者： Ogawa, Kazuhisa Kobayashi, Hirokazu Tomita, Akihisa Graduate School of Information Science and Technology Hokkaido University Sapporo060-0814 Japan School of System Engineering Kochi University of Technology Tosayamada-cho Kochi782-8502 Japan

Weak values are the fundamental values for observables in a pre- and post-selected system. Weak values are typically measured by weak measurement, in which weak values appear in the change of not the pre- and post-selected system but the probe system. This indirect characteristic of weak measurement obscures the meaning of weak values for the pre- and post-selected system, in contrast to conventional physical quantities, which have a clear operational meaning. In this study, we operationally formulate weak values as the sensitivity of post-selection probability amplitude to small transformation in a pre- and post-selected system. This formulation of weak values, which is free from the concept of probe shift assumed in weak measurement, gives a direct interpretation of strange weak values for the pre- and post-selected system. We further explain that this formulation can simplify weak-value measurement experiments because no probe system is required. Copyright © 2019, The Authors. All rights reserved.

关键词： Probes

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