Graduate School of Information, Production and Systems (IPS), Waseda University

Information Architecture Designing new uses of information, from media tomanagement engineering.

Introduction of Research Field:

 Covering entire field of information and telecommunications, withInformation Architecture

specially emphasizing on educational research and application.
 Developing applications and networks, with requiring state-of-the-art

theory and academia-industry collaboration.
 Educating with accommodation of various fields of science andtechnology, supporting wide range of career development.

Bio-Robotics and Human-Mechatronics Laboratory
Graduate School of Information, Production and Systems, Waseda University
http://www.waseda.jp/sem-matsumaru/

 Information and technologies encircling smart

society.

Takafumi MATSUMARU

 Safe and secure society and comfortable environment comprised of

http://www.f.waseda.jp/matsumaru/
matsumaru@waseda.jp

human, information, and things.
 Tackling researches on information and technologies, with wide

spectrum of abilities and applications, which support upcoming smart
society.
Aug 2019

2019.08. Grad School of IPS, Waseda University, Kitakyushu, Japan

Bio-robotics & Human-mechatronics Lab., Grad School of IPS, Waseda Univ., JapanLaboratory

Human & Machine Coexistence Environment Human & MachineInteractiveCoexistence
Environment

Programming Prof. Jiro TANAKA Interactive Programming Image Media Fiber-optic Systems
 Bio-Robotics & Human-Image Media Prof. Sei-ichiro KAMATA

Mechatronics

 Artificial Wisdom

Fiber-optic Systems
 Prof. Makoto
TSUBOKAWA Neurocomputing Systems
 Data Engineering Example-based machinetranslation/NLP

Mobile Interface
Large Display Interface
Gestures
Augmented Reality

Lifelog
Fusion of Realand Virtual
CSCW

Recent Research topics
1) Optical Network
Multicore/multimode fiber transmission,
Robust network structure,
Optical path setup algorism, etc.
2) Optical Waveguide Device
Nanosize optical splitter/combiner,
Nanosize optical fiber,
Light concentrator, etc.
3) Fiber-Optic Sensor
Bending sensor,
Distribution sensor, etc.

Human-Mechatronics

Community
Bio-robotics & Human-mechatronics Lab., Grad School of IPS, Waseda Univ., Japan

Human Interface
Ubiquitous Computing
Programming Languages
Software EngineeringBio-Robotics & Smart & Productive
 Smart Industry
 Thinking Networks
 Community Computing

2 Prof. Takafumi

MATSUMARU
Aug 2019

3

Bio-robotics & Human-mechatronics Lab., Grad School of IPS, Waseda Univ., JapanAug 2019 4

Human & Machine Coexistence Environment

Human & Machine Coexistence Environment

Interactive

Interactive Programming
1. Go together: providing nonverbal awareness cues to enhance co-Programming

located sensation in remote communication （一緒に行く：遠隔ｺﾐｭﾆｹｰ Prof. Jiro TANAKA

ｼｮﾝで同じ場所にいる感覚を高めるための非言語的認識ｷｭｰを提供する）

Human Interface
Ubiquitous Computing
Programming Languages
Software Engineering
Mobile Interface
Large Display Interface
Gestures
Augmented Reality

Cai, M., Tanaka, J. (2019)
Human-centric Computing & Information Sciences, 9(1), 19, 25 pages.
2. GesID: 3D gesture authentication based on depth camera andone-class classification（GesID:深度ｶﾒﾗと1ｸﾗｽ分類に基づく3Dｼﾞｪｽﾁｬ認識）
Wang, X., Tanaka, J. (2018)
Sensors (Switzerland), 18(10), 3265, 23 pages.

Lifelog
Fusion of Realand VirtualCSCW

3. An interaction technique for smartwatches based on estimating

the moving amount of the thumb （親指の移動量推定に基づくｽﾏｰﾄｳｫｯﾁの片手操作手法）

Aoyama, S., Abe, T., Shizuki, B., Tanaka, J. (2017)
Computer Software, 34(2), pp.102-113
4. Block system based on capacitance （静電容量に基づくﾌﾞﾛｯｸｼｽﾃﾑ）
Yoshida, A., Tsuruta, M., Ikegawa, K., Abe, T., Shizuki, B., Tanaka, J. (2017)
Computer Software, 34(2), pp.93-101

Bio-robotics & Human-mechatronics Lab., Grad School of IPS, Waseda Univ., JapanAug 2019 5

Bio-robotics & Human-mechatronics Lab., Grad School of IPS, Waseda Univ., JapanAug 2019 6

Human & Machine Coexistence Environment

Human & Machine Coexistence Environment

Image MediaImage Media Prof. Sei-ichiro KAMATA

1. Sparse graph based deep learning networks for face recognition（
顔認識のためのスパースグラフベースの深層学習ネットワーク）

Wu, R., Kamata, S.-I. (2018)
IEICE Transactions on Information and Systems, E101D(9), pp.2209-2219.
2. Copy move image forgery detection based on Polar Fourier

representation （極座標フーリエ表現に基づいたコピー画像偽造検出）
Wang, Y., Kamata, S.-I. (2018)
International Journal of Machine Learning and Computing, 8(2), pp 158-163.
3. Nuclei detection based on secant normal voting with skipping

ranges in stained histopathological images （染色された組織病理学的画像における範囲をスキップする割線通常投票に基づく核検出）

Lim, X., Sugimoto, K., Kamata, S.-I. (2018)
IEICE Transactions on Information and Systems, E101D(2), pp.523-530.
4. Discriminative Histogram Intersection Metric Learning and Its

Applications （識別ヒストグラム交差メトリック学習とその応用）
Hao, P.-Y., Xia, Y., Li, X.-X., Kamata, S.-I., Chen, S.-Y. (2017)
Journal of Computer Science and Technology, 32(3), pp.507-519.
Bio-robotics & Human-mechatronics Lab., Grad School of IPS, Waseda Univ., JapanAug 20197

Bio-robotics & Human-mechatronics Lab., Grad School of IPS, Waseda Univ., JapanAug 2019 8

Human & Machine Coexistence Environment

Human & Machine Coexistence Environment

Fiber-optic Systems

Fiber-optic Systems

 Prof. Makoto

TSUBOKAWA

1. Ultrasmall light-spot transmission in a silicon-core fiber with a

Recent Research topics

bowtie slot structure（ﾎﾞｳﾀｲｽﾛｯﾄ構造のｼﾘｺﾝｺｱﾌｧｲﾊﾞでの超小型光ｽﾎﾟｯﾄ伝送）

1) Optical Network

Sheng, A., Tsubokawa, M. (2018)
Optics Express, 26(17), pp.21797-21802.

Multicore/multimode fiber transmission,
Robust network structure,
Optical path setup algorism, etc.

2. Intercore crosstalk mitigation in multicore fiber transmission with

optical space coding（光空間符号化によるﾏﾙﾁｺｱﾌｧｲﾊﾞ伝送におけるｺｱ間ｸ2) Optical Waveguide Device

ﾛｽﾄｰｸ緩和）

Nanosize optical splitter/combiner,
Nanosize optical fiber,
Light concentrator, etc.

Tsubokawa, M., Wang, Y. (2017)
IEICE Transactions on Communications, E100B(12), pp.2104-2109.
3. A controllable nanosize combiner in T-shaped metal-insulator-3) Fiber-Optic Sensor

metal waveguides（ T字型金属-絶縁体-金属導波路における制御可能なﾅﾉｻｲ

Bending sensor,Distribution sensor, etc.

ｽﾞのｺﾝﾊﾞｲﾅ）

Kong, D., Tsubokawa, M ., Chen, L. (2016)
IEICE Electronics Express, 31(6), pp.1-5.
4. Evaluation of slot-to-slot coupling between dielectric slot

waveguides and metal-insulatormetal slot waveguides （誘電体ｽﾛｯﾄ
Bio-robotics & Human-mechatronics Lab., Grad School of IPS, Waseda Univ., JapanAug 2019

9Bio-robotics導波路と金属絶縁体金属ｽﾛｯﾄ導波路間のｽﾛｯﾄ間結合の評価）& Human-mechatronics Lab., Grad School of IPS, Waseda Univ., JapanKong, D., Tsubokawa, M. (2015)

Aug 2019

Human & Machine Coexistence Environment

Human & Machine Coexistence EnvironmentBio-Robotics &Bio-Robotics & Human-Mechatronics

10

1. Three-dimensional aerial image interface, 3DAII（３次元空中画像ｲﾝﾀﾌ

HumanMechatronics

ｪｰｽ, 3DAII）

Matsumaru, T., Septiana, A.I, Kazuki, H. (2019)
Journal of Robotics and Mechatronics, 31(5), pp.657-670.

 Prof. Takafumi

2. Path planning in outdoor pedestrian settings using 2d digital

MATSUMARU

maps（2Dﾃﾞｨｼﾞﾀﾙﾏｯﾌﾟを使用した屋外歩行者設定での経路計画）
Farid, A., Matsumaru, T. (2019)
Journal of Robotics and Mechatronics, 31(3), pp.464-473 .
3. ORB-SHOT SLAM: Trajectory correction by 3D loop closing

based on bag-of-visual-words (BoVM) model for RGB-D visual
SLAM （ORB-SHOT SLAM：RGB-D視覚SLAMのbag-of-visual-words（BoVM）ﾓﾃﾞﾙに基づいた3Dﾙｰﾌﾟｸﾛｰｽﾞによる軌跡補正）

Chai, Z., Matsumaru, T. (2017)
Journal of Robotics and Mechatronics, 29(2), pp.365-380.
4. Calibration and statistical techniques for building an interactive

screen for learning of alphabets by children（子供たちがｱﾙﾌｧﾍﾞｯﾄを学習するためのｲﾝﾀﾗｸﾃｨﾌﾞなｽｸﾘｰﾝを構築するためのｷｬﾘﾌﾞﾚｰｼｮﾝと統計的手法）
Bio-robotics & Human-mechatronics Lab., Grad School of IPS, Waseda Univ., JapanAug 2019

11Boby, R.A., Prakash, R., Saha, S.K., Matsumaru, T., Sharma, P., Jaitly, S. (2017)
Spt. 2017
International Journal of Advanced Robotic Systems, 14(3), pp.1-17.

Bio-robotics & Human-mechatronics Lab., Grad School of IPS, Waseda Univ., Japan

Near-field touch interface using time-of-flight camera

12Artificial Wisdom

Artificial Wisdom

NeurocomputingNeurocomputing

SystemSystem

 Prof. Takayuki

 Prof. Takayuki

FURUZUKIFURUZUKI

Data Engineering Prof. Mizuho IWAIHAExample-basedmachinetranslation/NLP Prof. Yves LEPAGE• Machine translation• Case-based reasoning• Artificial intelligence• Analogy

Bio-robotics & Human-mechatronics Lab., Grad School of IPS, Waseda Univ., JapanAug 2019

13

Bio-robotics & Human-mechatronics Lab., Grad School of IPS, Waseda Univ., Japan

Artificial Wisdom

Artificial Wisdom

Neurocomputing System

Data Engineering

Aug 2019

14

Aug 2019

16

 Prof. Mizuho IWAIHA

1. Fast SVM training using data reconstruction for classification ofvery large datasets（非常に大きなﾃﾞｰﾀｾｯﾄを分類するためのﾃﾞｰﾀ再構成を使用した高速SVMﾄﾚｰﾆﾝｸﾞ）

Liang, P., Li, W., Hu, J. (2020)
IEEJ Transactions on Electrical and Electronic Engineering, 15(3), pp.372-381.
2. An autoencoder-based piecewise linear model for nonlinear

classification using quasilinear support vector machines（準線形ｻ
ﾎﾟｰﾄﾍﾞｸﾀﾏｼﾝを使用した非線形分類のためのｵｰﾄｴﾝｺｰﾀﾞﾍﾞｰｽの区分線形ﾓﾃﾞﾙ）
Li, W., Liang, P., Hu, J. (2019)IEEJ Transactions on Electrical and Electronic Engineering, 14(8), pp.1236-1243.
3. A coarse-to-fine two-step method for semisupervisedclassification using quasi-linear Laplacian SVM（準線形ﾗﾌﾟﾗｼｱﾝSVMを使用した半教師付き分類のための粗密2段階法）

Zhou, B., Li, W., Hu, J. (2019)IEEJ Transactions on Electrical and Electronic Engineering, 14(3), pp.441-448.
4. One-class classification using a support vector machine with aquasi-linear kernel（準線形ｶｰﾈﾙを備えたｻﾎﾟｰﾄﾍﾞｸﾀﾏｼﾝを使ったｸﾗｽ分類）
P., Zheng, F.,
W.,School
Hu,ofJ.IPS,(2019)
Bio-roboticsLiang,& Human-mechatronics
Lab.,Li,Grad
Waseda Univ., JapanSpt. 2017IEEJ Transactions on Electrical and Electronic Engineering, 14(2), pp.289-296.

15

Bio-robotics & Human-mechatronics Lab., Grad School of IPS, Waseda Univ., Japan

Artificial Wisdom

Artificial Wisdom

Data Engineering

Example-based

1. Detection of mergeable wikipedia articles utilizing multiplesimilarity measures（複数の類似性測定を利用したﾏｰｼﾞ可能なｳｨｷﾍﾟﾃﾞｨｱ記事の検出）

Wang, R., Iwaihara, M. (2020)
Journal of Information Processing, 28, pp.178-191.

machinetranslation/NLP Prof. Yves LEPAGE

2. Estimating reference scopes of wikipedia article inner-links（ｳｨｷﾍﾟ
ﾃﾞｨｱの記事の内部ﾘﾝｸの参照範囲の推定）

Wang, R., Iwaihara, M. (2018)
Journal of Information Processing, 26, pp.562-570.
3. Associations between privacy, risk awareness, and interactive

motivations of social networking service users, and motivation
prediction from observable features（ﾌﾟﾗｲﾊﾞｼ-、ﾘｽｸ認識、ｿｰｼｬﾙﾈｯﾄﾜｰ• Machine translation• Case-based reasoning• Artificial intelligence• Analogy

ｷﾝｸﾞｻｰﾋﾞｽﾕｰｻﾞのｲﾝﾀﾗｸﾃｨﾌﾞな動機付け、および観察可能な機能からの動機付
け予測間の関連付け）

Mvungi, B., Iwaihara, M. (2015)
Computers in Human Behavior, 44, pp.20-34.
4. Revision graph extraction in Wikipedia based on supergram

decomposition and sliding update（ｽｰﾊﾟｰｸﾞﾗﾑ分解とｽﾗｲﾃﾞｨﾝｸﾞ更新に基Aug 2019 17

Bio-robotics & Human-mechatronics Lab., Grad School of IPS, Waseda Univ., Japan

Bio-robotics & Human-mechatronics Lab., Grad School of IPS, Waseda Univ., Japan

Artificial Wisdom

Smart & Productive Community

Example-based machine translation/NLP

Smart Industry

づくｳｨｷﾍﾟﾃﾞｨｱの改訂ｸﾞﾗﾌ抽出）

1. Improving automatic Chinese–Japanese patent translation using

Aug 2019 18

 Prof. Shigeru FUJIMURA

bilingual term extraction（ﾊﾞｲﾘﾝｶﾞﾙ用語抽出を使用した自動中国語-日本語特許翻訳の改善）

Yang, W., Lepage, Y. (2018)
IEEJ Transactions on Electrical and Electronic Engineering, 13(1), pp.117-125.

Thinking Networks
 Prof. Keiichi KOYANAGI

2. Inflating a small parallel corpus into a large quasi-parallel corpus

using monolingual data for Chinese–Japanese machinetranslation（中国語から日本語への機械翻訳のための単一言語ﾃﾞｰﾀを使用して、小さな並列ｺｰﾊﾟｽを大きな準並列ｺｰﾊﾟｽに膨張させる）

Yang, W., Shen, H., Lepage, Y. (2017)
Journal of Information Processing, 25, pp.88-99.

Community

Computing Prof. Osamu YOSHIE

3. A method of generating translations of unseen n-grams by using

proportional analogy（比例ｱﾅﾛｼﾞｰを使用して、見えないn-gramの翻訳を生成する方法）

Luo, J., Lepage, Y. (2016)
IEEJ Transactions on Electrical and Electronic Engineering, 11(3), pp.325-330.
4. Extraction of Potentially Useful Phrase Pairs for Statistical

Machine Translation（統計的機械翻訳のための潜在的に有用な句ﾍﾟｱの抽Aug 2019 19
Bio-robotics & Human-mechatronics Lab., Grad Schoolof IPS, Waseda Univ., Japan出）

Bio-robotics & Human-mechatronics Lab., Grad School of IPS, Waseda Univ., JapanAug 201920

Smart & Productive Community

Smart & Productive Community

Smart Industry

Smart Industry

 Prof. Shigeru FUJIMURA

1. Solving university course timetabling problem using localized

island model genetic algorithm with dual dynamic migration
policy（ﾃﾞｭｱﾙﾀﾞｲﾅﾐｯｸﾏｲｸﾞﾚｰｼｮﾝﾎﾟﾘｼｰを備えたﾛｰｶﾗｲｽﾞされたｱｲﾗﾝﾄﾞﾓﾃﾞﾙの遺伝的ｱﾙｺﾞﾘｽﾞﾑを使用して大学のｺｰｽの時間割問題を解決する）

Gozali, A.A., Kurniawan, B., Weng, W., Fujimura, S. (2020)
IEEJ Transactions on Electrical and Electronic Engineering, 15(3), pp.389-400.
2. Triple-chromosome genetic algorithm for unrelated parallelmachine scheduling under time-of-use tariffs（使用時間料金の下での無関係な並列機械ｽｹｼﾞｭｰﾘﾝｸﾞのための三重染色体遺伝的ｱﾙｺﾞﾘｽﾞﾑ）

Kurniawan, B., Chandramitasari, W., Gozali, A.A., Weng, W., Fujimura, S. (2020)
IEEJ Transactions on Electrical and Electronic Engineering, 15(2), pp.208-217.
3. A genetic algorithm with local search using activity list

characteristics for solving resource-constrained multiprojectscheduling problem（ﾘｿ-ｽに制約のあるﾏﾙﾁﾌﾟﾛｼﾞｪｸﾄｽｹｼﾞｭｰﾘﾝｸﾞ問題を解決するための活動ﾘｽﾄ特性を使用した局所探索による遺伝的ｱﾙｺﾞﾘｽﾞﾑ）Okada, I., Weng, W., Yang, W., Fujimura, S. (2016)
IEEJ Transactions on Electrical and Electronic Engineering, 11, pp.S34-S43.
Bio-robotics & Human-mechatronics Lab., Grad School of IPS, Waseda Univ., JapanAug 201921

Integrating genetic algorithm with time control for just-in-time
Spt. 2017 22
scheduling problems（ｼﾞｬｽﾄｲﾝﾀｲﾑｽｹｼﾞｭｰﾘﾝｸﾞ問題のための遺伝的ｱﾙｺﾞﾘｽ

4. & Human-mechatronics Lab., Grad School of IPS, Waseda Univ., Japan
Bio-robotics

Smart & Productive Community

Smart & Productive Community

Thinking Networks

Thinking Networks

 Prof. Keiichi KOYANAGI

1. Research on improvement of information platform for local

tourism by paragraph vector（ﾊﾟﾗｸﾞﾗﾌﾍﾞｸﾀによるﾛｰｶﾙﾂｰﾘｽﾞﾑのための情報ﾌﾟﾗｯﾄﾌｫｰﾑの改善に関する研究）

Tsuchiya, T., Hirose, H., Miyosawa, T., (...), Sawano, H., Koyanagi, K. (2020)
Studies in Computational Intelligence, 819, pp.115-121.
2. 画像処理技術を用いた模擬授業の振り返り支援システムの提案 (A studyof a supporting system for reviewing trial lessons using image processingtechnologies)
小西拓也, 澤野弘明, 坂本將暢, 中條直也, 鈴木裕利, 土屋健, 小柳惠一(2015)
電気学会論文誌Ｃ（電子・情報・システム部門誌）, 135(12), pp. 1509-1516.
3. A distributed information retrieval manner based on the statistic

information for ubiquitous services（ﾕﾋﾞｷﾀｽｻｰﾋﾞｽの統計情報に基づく分散情報検索方法）

Tsuchiya, T., Sawano, H., Lihan, M., Yoshinaga, H., Koyanagi, K. (2009)
Progress in Informatics, (6), pp.63-77
4. 広域ﾈｯﾄﾜｰｸに対応したﾏﾙﾁｴｰｼﾞｪﾝﾄ組織化支援ｼｽﾃﾑ (Agentorganization system for multi-agent based network management)
Bio-robotics & Human-mechatronics Lab., Grad School of IPS, Waseda Univ., JapanAug 201923

Aug小柳2019 24
Bio-robotics寺内敦,& Human-mechatronics
Grad Schoolof IPS, Waseda
Univ., Japan 廣津登志夫, 栗原聡,
明石修,Lab.,
丸山充,
菅原俊治,
福田健介,

惠一 (2007)

Smart & Productive Community

Smart & Productive Community

Community

Community Computing
1. Learning-based power prediction for geo-distributed DataComputing

Centers: weather parameter analysis(地理的に分散したﾃﾞｰﾀｾﾝﾀｰの学 Prof. Osamu YOSHIE

習ﾍﾞｰｽの電力予測:気象ﾊﾟﾗﾒｰﾀｰ分析)

Taheri, S., Goudarzi, M., Yoshie, O. (2020)
Journal of Big Data, 7(1)8, 16pages.
2. Strong optical absorption of a metallic film to induce a lensing

effect in the visible region（可視領域でﾚﾝｽﾞ効果を誘発するための金属ﾌｨﾙ
ﾑの強い光吸収）

Jiang, A.-Q., Zang, K.-Y., Hu, E.-T., Tu, H.-T., Xu, L., Ren, W.-S., Yoshie, O., Lee,Y.-P., Zheng, Y.-X., Wang, S.-Y., Zhao, H.-B., Guo, J.-P., Wang, C.Z., Ho,K.M., Lynch, D.W., Chen, L.-Y. (2019)
Scientific Reports, 9(1)12434, 6pages.
3. Ultrahigh-resolution spectrometer based on 19 integratedgratings（19の統合された回折格子に基づく超高解像度分光計）

Bio-robotics & Human-mechatronics Lab., Grad School of IPS, Waseda Univ., JapanAug 2019

25Jiang, A.-Q., Zang, K.-Y., Tu, H.-T., Chen, J.-K., Lu, W.-J., Yoshie, O., Wang, X.P., Xiang, X.-D., Lee, Y.-P., Chen, B., Zheng, Y.-X., Wang, S.-Y., Zhao, H.-B., Yang,Y.-M., Chen, L.-Y. (2019)
Scientific Reports, 9(1)10211, 7pages.

Bio-robotics & Human-mechatronics Lab., Grad School of IPS, Waseda Univ., JapanSpt. 2017

Graduate School of Information, Production and Systems (IPS), Waseda University

MessageLet’s grow up together

developing a new ﬁeld at themeeting ground for people
who have a new way ofthinking and extraordinary
abilities regardless of areas
or aspects.

Introduction of Research Field:

Information Architecture
Bio-Robotics and Human-Mechatronics Laboratory
Graduate School of Information, Production and Systems, Waseda University
http://www.waseda.jp/sem-matsumaru/

Takafumi MATSUMARU
http://www.f.waseda.jp/matsumaru/
matsumaru@waseda.jp

Bio-robotics & Human-mechatronics Lab., Grad School of IPS, Waseda Univ., JapanAug 20192726

4. Dual supervised learning for non-native speech recognition（非ネイ2019.08. Grad School of IPS, Waseda University, Kitakyushu, Japan