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Advances in Aerodynamics 2022年第1期4卷 78-95页

作者： Momoha Nishimura Masashi Yamakawa Shinichi Asao seiichi Takeuchi Mehdi Badri Ghomizad Department of Mechanical and System Engineering Kyoto Institute of TechnologyKyotoJapan Department of Mechanical Engineering College of Industrial TechnologyHyogoJapan

This study proposes a method for modelling the flow interaction of multiple moving objects where the flow field variables are communicated between multiple separate moving computational *** of using the conventional approach with a single fixed computational domain covering the whole flow field,this method advances the moving computational domain(MCD)method in which the computational domain itself moves in line with the motions of an object *** computational domains created around each object move independently,and the flow fields of each domain interact where the flows *** eliminates the spatial restriction for simulating multiple moving ***,a shock tube test verifies that the overset implementation and grid movement do not adversely affect the results and that there is communication between the grids.A second test case is conducted in which two spheres are crossed,and the forces exerted on one object due to the other’s crossing at a short distance are *** results verify the reliability of this method and show that it is applicable to the flow interaction of multiple moving objects.

关键词： Crossing Moving boundary problems Compressible flow Moving mesh method

Designer enzyme for green materials innovation： Lactatepolymerizing enzyme as a key catalyst

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Frontiers of Chemical Science and Engineering 2017年第1期11卷 139-142页

作者： seiichi Taguchi Graduate School of Engineering Hokkaido University Hokkaido 060-0808 Japan JST CREST 5 Sanbancho Chiyoda-ku Tokyo 102-0075 Japan

Establishment of the regeneratable whole-cell catalyst platform for the production ofbiobased polymeric materials is a typical topic of synthetic biology. In this commentary, discovery story of a ＂lactate-polymerizing enzyme＂（LPE） and LPE-based achievements for creating a new variety of polyesters with incorporated unnatural monomers are presented. Besides the importance of microbial platform itself is discussed referring to the ＂ballooning＂-Escherichia coli.

关键词： synthetic biology enzyme evolutionary engi-neering polyhydroxyalkanoate

Scene word recognition from pieces to whole

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Frontiers of Computer Science 2019年第2期13卷 292-301页

作者： Anna ZHU seiichi UCHIDA SCST Wuhan University of Technology Wuhan 430000 China ISEE-AIT Kyushu University Fukuoka 819-0395 Japan

Convolutional neural networks (CNNs) have had great success with regard to the object classification problem. For character classification, we found that training and testing using accurately segmented character regions with CNNs resulted in higher accuracy than when roughly segmented regions were used. Therefore, we expect to extract complete character regions from seene images. Text in natural scene images has an obvious contrast with its attachments. Many methods attempt to extract characters through different segmentation techniques. However, for blurred, occluded, and complex background cases, those methods may result in adjoined or over segmented characters. In this paper, we propose a scene word recognition model that integrates words from small pieces to entire after-cluster-based segmentation. The segmented connected components are classified as four types: background, in dividual character proposals, adjoined characters, and stroke proposals. Individual character proposals are directly inputted to a CNN that is trained using accurately segmented character images. The sliding window strategy is applied to adjoined character regions. Stroke proposals are considered as fragments of entire characters whose locations are estimated by a stroke spatial distribution system. Then、the estimated characters from adjoined characters and stroke proposals are classified by a CNN that is trained on roughly segmented character images. Finally, a lexicondriven integration method is performed to obtain the final word recognition results. Compared to other word recognition methods, our method achieves a comparable performance on Street View Text and the ICDAR 2003 and ICDAR 2013 benchmark databases. Moreover, our method can deal with recognizing text images of occlusion and improperly segmented text images.

关键词： text recognition convolutional neural networks cluster-based segmentation character integration

MORPHOLOGY DEPENDENCE OF CRYSTALLIZATION OF NATURAL RUBBER IN BLENDS

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Chinese Journal of Polymer Science 2013年第10期31卷 1424-1431页

作者： Tetsuji Kawazura Oraphin Chaikumpollert seiichi Kawahara Department of Chemistry Faculty of Engineering Nagaoka University of TechnologyNagaoka Niigata 940-2188 Japan National Metal and Materials Technology Center National Science and Technology Development Agency 114 Thailand Science Park Phahonyothin Rd. Klong 1Klong Luang Pathumthani 12120 Thailand

Crystallization of natural rubber （NR） was investigated in different morphology for NR/styrene bntadiene rubber （SBR） blend and NR/polystyrene-（b）-polyisoprene （SI）/polystyrene （PS） blend. A purified NR （PC-TE） was prepared from pale crape via transesterification. In the blends, PC-TE formed various morphologies; that is, matrix phase, island phase and continuous phase with a nano-scale, respectively, in dependence upon the ratio of the rubbers. The crystallization rate of the blends was also significantly associated with the morphology of the rubbers.

关键词： Natural rubber Crystallization Morphology of natural rubber.

Deobfuscation,unpacking,and decoding of obfuscated malicious JavaScript for machine learning models detection performance improvement

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CAAI Transactions on Intelligence Technology 2020年第3期5卷 184-192页

作者： Samuel Ndichu Sangwook Kim seiichi Ozawa Graduate School of Engineering Kobe UniversityKobe CityJapan Center for Mathematical and Data Sciences Kobe UniversityKobe CityJapan

Obfuscation is rampant in both benign and malicious JavaScript(JS)*** generates an obscure and undetectable code that hinders comprehension and ***,accurate detection of JS codes that masquerade as innocuous scripts is *** existing deobfuscation methods assume that a specific tool can recover an original JS code *** a multi-layer obfuscation,general tools realize a formatted JS code,but some sections remain *** the detection of such codes,this study performs Deobfuscation,Unpacking,and Decoding(DUD-preprocessing)by function redefinition using a Virtual Machine(VM),a JS code editor,and a python int_to_str()function to facilitate feature learning by the FastText *** learned feature vectors are passed to a classifier model that judges the maliciousness of a JS *** performance evaluation,the authors use the Hynek Petrak’s dataset for obfuscated malicious JS codes and the SRILAB dataset and the Majestic Million service top 10,000 websites for obfuscated benign JS *** then compare the performance to other models on the detection of DUD-preprocessed obfuscated malicious JS *** experimental results show that the proposed approach enhances feature learning and provides improved accuracy in the detection of obfuscated malicious JS codes.

关键词： JavaScript editor python

Part-based methods for handwritten digit recognition

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Frontiers of Computer Science 2013年第4期7卷 514-525页

作者： Song WANG seiichi UCHIDA Marcus LIWICKI Yaokai FENG Department of Intelligent Systems Graduate School of Information Science and Electrical Engineering Kyushu University Fukuoka 819-0395 Japan German Research Center for Artificial Intelligence (DFKI) Kaiserslautern D-67663 Germany

In this paper, we intensively study the behavior of three part-based methods for handwritten digit recognition. The principle of the proposed methods is to represent a handwritten digit image as a set of parts and recognize the image by aggregating the recognition results of individual parts. Since part-based methods do not rely on the global structure of a character, they are expected to be more robust against various delormations which may damage the global structure. The proposed three methods are based on the same principle but different in their details, for example, the way of aggregating the individual results. Thus, those methods have different performances. Experimental results show that even the simplest part-based method can achieve recognition rate as high as 98.42% while the improved one achieved 99.15%, which is comparable or even higher than some state-of-the-art method. This result is important because it reveals that characters can be recognized without their global structure. The results also show that the part-based method has robustness against deformations which usually appear in handwriting.

关键词： handwritten digit recognition local features,part-based method

Comparative performance analysis of stroke correspondence search methods for stroke-order free online multi-stroke character recognition

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Frontiers of Computer Science 2014年第5期8卷 773-784页

作者： Wenjie CA1 seiichi UCHIDA Hiroaki SAKOE Department of Advanced Information Technology Kyushu University Fukuoka-shi 819-0395 Japan

For stroke-order free online multi-stroke charac- ter recognition, stroke-to-stroke correspondence search be- tween an input pattern and a reference pattern plays an im- portant role to deal with the stroke-order variation. Although various methods of stroke correspondence have been pro- posed, no comparative study for clarifying the relative su- periority of those methods has been done before. In this pa- per, we firstly review the approaches for solving the stroke- order variation problem. Then, five representative methods of stroke correspondence proposed by different groups, includ- ing cube search （CS）, bipartite weighted matching （BWM）, individual correspondence decision （ICD）, stable marriage （SM）, and deviation-expansion model （DE）, are experimen- tally compared, mainly in regard of recognition accuracy and efficiency. The experimental results on an online Kanji char- acter dataset, showed that 99.17%, 99.17%, 96.37%, 98.54%, and 96.59% were attained by CS, BWM, ICD, SM, and DE, respectively as their recognition rates. Extensive discussions are made on their relative superiorities and practicalities.

关键词： cube search bipartite weighted matching indi-vidual correspondence decision stable marriage deviation-expansion model

Highly flexible,mechanically strengthened metallic glass-based composite electrode with enhanced capacitance and cyclic stability

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Rare Metals 2022年第11期41卷 3717-3728页

作者： Yi Xu Pak Man Yiu Yu-Kun Wang Xiao-Meng Qin Tamaki Shibayama seiichi Watanabe Masato Ohnuma Da-Zhu Chen Hua Cheng Chan-Hung Shek Zhou-Guang Lu Chen Liu Guangdong Research Center for Interfacial Engineering of Functional Materials College of Materials Science and EngineeringShenzhen UniversityShenzhen518060China Department of Materials Science and Engineering City University of Hong KongHong Kong999077China College of Physics and Optoelectronic Engineering Shenzhen UniversityShenzhen518060China Division of Quantum Science and Engineering Faculty of EngineeringCentre for Advanced Research of Energy and MaterialsHokkaido UniversitySapporo0608628Japan Guangdong-Hong Kong-Macao Joint Laboratory for Photonic-Thermal-Electrical Energy Materials and Devices Department of Materials Science and EngineeringSouthern University of Science and TechnologyShenzhen518060China

The design of flexible composite electrodes has become the top priority in energy storage devices for the development of future wearable intelligent ***,searching for fully integrated,ultrathin flexible composite electrodes with satisfying electrochemical performance is still a major ***,we introduce a nanoporous gold metallic glass(MG) ribbon-based composite electrode with excellent electric conductivity,mechanical flexibility,and extra capacitance by integrating polypyrrole(PPy) into wrinkled nanoporous ribbon(NPG@MG).The freestanding,ultrathin,highly conductive and flexible" nature of the composite electrode prevents the conducting polymer from structural instability resulting from the volume swell and shrink during the charging/discharging circulation,and the packed PPy provides protection for the wrinkled topology on the surface of the MG *** capacitance of pure NPG@MG-PPy composite electrode reached 393 mF·cm^(-2).The ultra-thin all-solid-state flexible supercapacitor demonstrates an excellent capacitance of 172 mF·cM^(-2)(14.8 F·cm^(-3)),accompanied by a superior cycling capability after 8000 charge/discharge cycles attributed to mechanical *** areal energy density also reached 0.74 mWh·cm^(-3)(9μWh·cm^(-2)) at a power density of 1 μW·cm^(-2).This work provides valuable concepts on the design of PPy-based hybrid materials for flexible energy storage systems with greatly enhanced electrochemical performances.

关键词： Metal-matrix composites(MMCs) Thin films Porosity Nano-structures

Influences of the Exhaust Flow on the Boundary Layer Flow on the Wafer Surface in Spin Coating System

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Journal of Thermal Science 2005年第2期14卷 130-135页

作者： seiichi KIMURA Mizue MUNEKATA Hiroaki KURISHIMA Kazuyoshi MATSUZAKI Hideki OHBA Graduate School of Science and Technology Kumamoto University Mechanical Engineering and Materials Science Kumamoto UniversityTokyo Electron Kyushu LTDTokyo Electron AT LTDMechanical Engineering and Materials Science Kumamoto University

Recently, development of high technology has been required for abe fomaafion of thin uniform film in manufacturing processes of semiconductor as the semiconductor become more sophisticated. Spin coating is usually used for spreading photoresist on a wafer surface. However, since rotating speed of the disk is very high in spin coating, the dropped resist scatters outward and reattaches to the film surface. So, the scattered resist is removed by the exhaust flow generated at the gap between the wafer edge and the catch cup. It is seriously concerned that the stripes called Ekman spiral vortices appears on the disk in the case of high rotating speed and the film thickness increases near the wafer edge in the case of low rotating speed, because it prevent the fomation of uniform film. The purpose of this study is to make clear the generation mechanism of Ekman spiral vortices and the influence of exhaust flow on it. Moreover the influence of the catch cup geometry on the wafer surface boundary layer flow is investigated.

关键词：立式圆盘流自旋电镀边界层流热-线测量