Hosei University International Colloquium on
Integrated Science and Technology

Advanced Research on
Integrated Science and Technology atTsinghua and Hosei Universities
法政大学 IIST 国際コロキウム

法政・清華大学における先進総合理工学研究This colloquium is to introduce current research development on integrated science and engineering
at both in Tsinghua and Hosei University. The colloquium is to understand the research strength ofboth institutions and to explores the possible opportunity of research collaboration. Outstanding
graduate students and faculties are invited to give their works. The colloquium is open to public.
Interested researchers of other institutions and citizens are welcome to participate.
本コロキウムは法政大学と清華大学の総合理工学分野における最新の研究成果を共有し、両大学の研究の強みを理解するとともに、共同研究の機会を探ることを目的としています。本コロキウムにおける両大学の大学院生、教員による研究内容の紹介は、興味をもつ他研究機関の研究者、一般の方にも公開されます。
Date: 13:00- 15:30 Jan 12th, 2017
日時: 2017 年 1 月 12 日 13:00-15:30
Venue: Multimedia Hall, B1F Building West, Hosei University Koganei Campus
3-7-2 Kajino cho, Koganei City, Tokyo 184-8584 JAPAN
会場: 法政大学,小金井キャンパス, 西館地下 1F マルチメディアホール
〒184-8584 東京都小金井市梶野町 3-7-2

Host: Hosei University IIST: Institute of Integrated Science and Technology
主催: 法政大学・ IIST (総合理工学インスティチュート)PROGRAM (プログラム)

13:00-13:05

OPENING MESSAGE (開会の辞)
Prof. Kazuo Yana, Vice President, Hosei University
Mr. XIA Guangzhi, Associate Dean of the Tsinghua Univ. Graduate School at Shenzhen

SESSION 1（第一部）
nd

13:05-13:15 Yanqin Chen (2 Year Ph. D. Student, Control Sci. and Eng., Tsinghua Univ.)
Absolute Distance Estimation for Light Field Images using Ray Tracing【レイトレーシングによる光照射野の絶対距離測定】
13:15-13:25 Ryo Ito (2nd Year Master Student, Medical Imaging Technology, Hosei Univ.),
Estimation of an Atomic Density with a Singular Value Decomposition Method
Using a Photon-Counting X-ray CT【フォトンカウンティング形 X 線 CT を用いた原子密度推定】
13:25-13:35

Guo Ao (1st year Ph.D. student, IIST, Hosei University)
A Context-Aware Scheduling Mechanism for Smartphone-based
Personal Data Collection from Multiple Wearable Devices【ウェアラブルデバイス群によるパーソナルデータ収集におけるコンテンツ依存スケジューリングについて】

13:35-13:45

Sun Zhiyan (3rd Year Ph. D. Student, Material Science, Tsinghua Univ. )Ultrasonic Surface Rolling Process (USRP) is a Novel Surface【超音波表面回転プロセス(USRP): 新しい表面加工技術】

13:45-13:55 Jianxu Zeng (2nd Year Master Student, Microelectronics Eng., Tsinghua Univ.)
Power Management for Wireless Power Transfer【無線電力伝送における電力制御について】
13:55-14:25

INTERMISSION (休憩)SESSION 2（第二部）
14:25-14:45
Prof. Jinjia Zhou,( IIST, Hosei University)
A 4Gpixel/s 8/10b H.265/HEVC Video Decoder Chip for 8K Ultra HD Applications【8K 超高解像度 H265/HEVC ビデオデコーディングチップ】
14:45-15:05

Prof. Xin Jin (Graduate School at Shenzhen, Tsinghua Univ.)
Light field processing and compression【ライトフィールド画像信号処理と情報圧縮 】

15:05-15:25
Prof. Genci Capi, (Robotics Eng., Hosei Univ.)Intelligent Assistive Robots Operating in Real Environments (Video Presentation)【知的福祉ロボットの実用化例】
15:25-15:30
CLOSING REMARKS (閉会の辞)
Prof. Lei Li, Dean of the Faculty of Sci. & Eng., Hosei Univ. 理工学部長 李磊教授

13:05-13:15

Yanqin Chen (2nd Year Ph. D. Student, Control Sci. and Eng., Tsinghua Univ.)
Absolute Distance Estimation for Light Field Images using Ray Tracing

ABSTRACT: In this talk, we propose a geometric optical model to estimate
the absolute distances of objects in an image captured by a hand-held light fieldcamera. The proposed geometric optical model consists of two sub-models
based on ray tracing: 1) Light rays emitting from object space propagate into
the main lens and refract inside the main lens following refraction theorem; 2)
Light rays exit from some out off positions on the main lens after anotherrefraction and subsequently impinge on the sensor plane with different imaging
diameters. We investigate the relationships between light rays’ imaging diameters and theircorresponding out off positions on the main lens utilizing refocusing and similar triangle principle.
By combining the two sub-models and tracing light rays back into object space, we figure out therelationships between imaging diameters and absolute distances of objects. Experimental results
demonstrate that the proposed model can outperform the existing approaches in terms of estimation
accuracy and efficiency.
BIOSKETCH: Yanqin Chen received the B.E. degree from the School of Mechanical andAutomotive Engineering, South China University of Technology, Guangdong, China in 2015. She iscurrently pursuing the Ph.D. degree in Department of Automation at Tsinghua University, Beijing,China. She joined the IEEE and became a student member in 2016. Her current research interests
include computational photography and computer vision.

13:15-13:25
Ryo Ito (2nd Year Master Student, Medical Imaging Technology, Hosei Univ.),
Estimation of an Atomic Density with a Singular Value Decomposition Method Using aPhoton-Counting X-ray CT
ABSTRACT: In the treatment planning of a heavy ion radiation therapy, anaccurate density distribution of each atom in a human body is required.
However, it is very difficult to obtain this distribution, and so the distributionof the electron density is estimated with the x-ray CT number of an electron
density phantom. The purpose of our research is to measure the density
distribution of a specified atom in compounds in a human body. The paper
proposed a new method to obtain the density distribution of an atom with thesingular value decomposition method using a photon counting detector. We
conducted simulation using two phantoms that were composed of water, ethanol and benzene, andwe calculated the density distribution of hydrogen, carbon and oxygen. The simulation results of aphantom including several compounds showed the feasibility of our proposed method.
BIOSKETCH: Ryo Ito received BS degree in Applied Informatics from Hosei University, in 2015.
He is currently a master’s student at the Graduate School of Science and Engineering, Hosei
University. He is developing a new X-ray CT imaging systems, especially photon-counting X-ray CT
for material decomposition and density estimation. He is a climber reached the top of Mt. Fuji twice.
He presented his papers at IEEE Nuclear Science Symposium and Medical Imaging Conference
2015 and 2016.

13:25-13:35
Ao Guo (1st year Ph.D. student, IIST, Hosei University)
A Context-Aware Scheduling Mechanism for Smartphone-based Personal Data Collection fromMultiple Wearable Devices
ABSTRACT: Due to rapid progresses of smartphone and various wearable
devices, it becomes feasible to collect rich personal data that can be used for
activity recognition, user modeling and better personalized services. Becauseof the popularity and high accessibility, a smartphone becomes not only aneffective terminal in personal data collection but also a gateway to connect
wearable devices and gather various kinds of personal data from thesewearables. In the most of current applications, the wearables work for datacollection according to a fixed schedule often preset manually by a user. The
main problems in the data collection with following such fixed scheduling are weak adaptiveness towearables’ state change, big redundancy in collected data, and possible mismatch to dynamic
precision requirements in data capture. Therefore, we propose a context-aware schedulingmechanism that is able to dynamically adjust the data collection schedule based on varying situationsof wearable condition, network availability, computing resource and user state. This talk presents thedetails of this context-aware scheduling mechanism, and a corresponding smartphone-based system
to collect personal data from multiple wearables and upload the gathered data to a server. The
efficiency and effectiveness of the proposed scheduling mechanism have been verified by the actual
data collection using the developed system.
BIOSKETCH: Ao Guo received M.E. degree from Huazhong University of Science andTechnology, China, in 2016. He is currently working toward the Ph.D. degree at Hosei University,
Japan. He received the best paper award at the 2016 IEEE International Conference on Cyber,
Physical, and Social Computing (CPSCom 2016). His research interests lie in the intersection ofhuman-computer interaction and ubiquitous computing, including context-aware data collection
system and personality analysis.

13:35-13:45

Sun Zhiyan (3rd Year Ph. D. Student, Material Science, Tsinghua Univ. )Ultrasonic Surface Rolling Process (USRP) is a Novel Surface

ABSTRACT: Ultrasonic surface rolling process (USRP) is a novel surface
nanocrystallization technology based on severe plastic deformation(SPD). But
the remarkable hardening of surface strengthened layer induced by SPD is also
an extreme obstruct for the further plastic deformation and strengthening insideof the metal. Electropulsing, as an advanced external field processing
technology for metallic material can affect its plasticity, structure evolution andso on. The introduction of electropulsing can facilitate the surface cracks
healing, receive better surface roughness, and alter the cross-sectional micro-hardness gradient
distribution within the surface strengthened layer. Therefore High-precision metal surfaces can beobtained during electropulsing-assisted ultrasonic surface rolling process(EP-USRP). EP-USRP isproved to be a high precision machining technology.
BIOSKETCH: Zhiyan Sun received the B.E. degree from the Department of Materials Science andEngineering, Central South University, Changsha, China in 2014. She is currently pursuing the Ph.D.
degree in Department of Materials Science and Engineering at Tsinghua University, Beijing, China.
Her current research interests include electropulsing-assisted turning or ultrasonic surface rollingprocess.

13:45-13:55

Jianxu Zeng (2nd Year Master Student, Microelectronics Eng., Tsinghua Univ.)
Power Management for Wireless Power Transfer
ABSTRACT: (1) The progress of wireless power transfer (WPT); (2) WPT
Applications in IMD (implant medical device); (3) Energy-efficient WPT andcharging circuit for implantable applications
BIOSKETCH: Jianxu Zeng received the B.S degree in microelectronics fromTianjin University, Tianjin, China, in 2015. He is currently working toward M.S
degree in microelectronics from Tsinghua University, Beijing, China. His
research interests focus on power management integrated circuits (PMIC).

14:25-:14:45
Assoc. Prof. Jinjia Zhou,( IIST, Hosei University)
A 4Gpixel/s 8/10b H.265/HEVC Video Decoder Chip for 8K Ultra HD Applications【8K 超高解像度 H265/HEVC ビデオデコードチップ】
ABSTRACT: 8K Ultra HD is being promoted as the next-generation
digital video format. From a communication channel perspective, thelatest high-efficiency video coding standard (H.265/HEVC) greatlyenhances the feasibility of 8K by doubling the compression ratio.
Implementation of such codecs is a challenge, owing to ultrahighthroughput requirements and increased complexity per pixel. The
former corresponds to up to 10b/pixel, 7680×4320pixels/frame and120fps – 80× larger than 1080p HD. The latter comes from the newfeatures of HEVC relative to its predecessor H.264/AVC. The mostchallenging of them is the enlarged and highly variable-size coding/prediction/transform units(CU/PU/TU), which significantly increase: 1) the requirement for on-chip memory as pipelinebuffers, 2) the difficulty in maintaining pipeline utilization, and 3) the complexity of inverse
transforms (IT). This talk presents an HEVC decoder chip supporting 8K Ultra HD, featuring a
16pixel/cycle true-variable-block-size system pipeline. The pipeline: 1) saves on-chip memory with anovel block-in-block-out (BIBO) queue system and a parameter delivery network, and 2) allows highdesign efficiency and utilization of processing components through local synchronization. Key
optimizations at the component level are also presented.
BIOSKETCH: Jinjia Zhou received B.E. degree from Shanghai Jiao Tong University, China, in2007. She received M.E. and Ph.D. degrees from Waseda University, Japan, in 2010 and 2013,respectively. From 2013 to 2016, she was a junior researcher with Waseda University, Fukuoka,
Japan. Currently she is an Associate Professor with Hosei University, Tokyo, Japan. Her interests arein algorithms and VLSI architectures for multimedia signal processing, especially in low-powerhigh-performance VLSI design for video codecs including H.265/HEVC (High Efficiency VideoCoding) and H.264/AVC. Dr. Zhou received the research fellowship of the Japan Society for thePromotion of Science during 2010-2013. She is a recipient of the Chinese Government Award for
Outstanding Students Abroad of 2012. Dr. Zhou received the Hibikino Best Thesis Award in 2011.
She was a co-recipient of the best student paper award of VLSI Circuits Symposium 2010 and thedesign contest award of ACM ISLPED 2010. She participated the design of the world first 8K
UHDTV video decoder chip, which was granted the 2012 Semiconductor of the Year Award of Japan.
She works as a reviewer for journals including IEEE Trans. Circuits Syst. Video Tech., IEEE Trans.
Circuits Syst. I, IEEE Trans. VLSI Syst., and IEEE Trans. Multimedia. This talk was given at IEEEInternational Solid-State Circuits Conference (ISSCC 2016). The paper related to this talk received
the ISSCC 2016 Takuo Sugano Award for Outstanding Far-East Paper.

14:45-15:05

Prof. Xin Jin (Graduate School at Shenzhen, Tsinghua Univ.)
Light field processing and compression

ABSTRACT: Traditional cameras integrate light over the dimensions, suchas directions, colors, temporal variations, by converting photons intoelectrons. The process preserves a subset of two dimensional, or some three
dimensional, time varying information, while loses a huge amount ofinformation in other plenoptic dimensions. In this talk, after a brief
overview of light field acquisition together with the comparison with theconventional image acquisition, the advantages in preserving the plenoptic
dimensions are demonstrated by attractive applications. Our latest researchworks in light field processing and compression are introduced. Startingfrom the distortion modeling for three dimensional free viewpoint TV to four dimensional plenoptic
processing and compression are introduced. Theoretical analysis and experimental results
demonstrated the effectiveness of the proposed approaches in accuracy, fidelity and computationalcomplexity.
BIOSKETCH: Xin Jin received the B. E. degree in communication engineering, M.S. degree incommunication and information system and the Ph.D. degree in information and communicationengineering from Huazhong University of Science and Technology, Wuhan, China, in 1999, 2002
and 2005, respectively. From 2008 to 2012, she was a Visiting Lecturer with the Information
Technology Research Organization, Waseda University, Fukouoka, Japan. Since Mar. 2012, she has
been with Graduate School at Shenzhen, Tsinghua University, China, where she is currently anassociate professor. Her current research interests include power-constrained video processing andcompression, computational imaging and multimedia cloud computing. She has published 104
peer-reviewed conference and journal papers. She has filed more than 40 invention patents in China,of which 12 have been granted. Dr. Jin is the chair of 3D video compression standard ad-hoc groupof the Audio Video Standard Workgroup of China (AVS). She received the Second Prize of National
Science and Technology Progress Award in 2016, the First Prize of Guangdong Science andTechnology Award in 2016, ISOCC Best Paper Award in 2010 and AVS Outstanding Contributor
Award of the Year 2004. She has served on many conference committees, including as a special
session chair at APSIPA2016 and PCM2015, and served as a reviewer for many transactions andinternational conferences, e.g., IEEE TIP, TCSVT, ICIP, ISCAS, ICME, etc.

15:05-15:25
Prof. Genci Capi, (Robotics Eng., Hosei Univ.)Intelligent Assistive Robots Operating in Real Environments (Video Presentation)
ABSTRACT: Soon robots are expected to operate in our homes,hospitals and offices. Therefore, they have to process multiple sensors
data and adapt the policy as the environment changes. In this talk, I
will overview the existing efforts including our attempts at creating
intelligent robots operating in everyday life environments. In particular,
I will focus on remotely operating surveillance robot, robot navigationin urban environments, and assistive humanoid robot. I will show
experimental results that demonstrate the effectiveness of proposed
algorithms.
BIOSKETCH: Genci Capi received the Ph.D. degree from Yamagata University, in 2002. He was a
Researcher at the Department of Computational Neurobiology, ATR Institute from 2002 to 2004. In2004, he joined the Department of System Management, Fukuoka Institute of Technology, as an
Assistant Professor, and in 2006, he was promoted to Associate Professor. He was a Professor in theDepartment of Electrical and Electronic Systems Engineering, University of Toyama up to March2016. Now he is a Professor in the Department of Mechanical Engineering, Hosei University. His
research interests include intelligent robots, BMI, multi robot systems, humanoid robots, learningand evolution. Dr. Capi is a recipient of the Excellent Paper Award of 7-th International Conference
on Production Engineering, Design and Control, Alexandria, 2001; Highly Commended Award for"Real Time Generation of Humanoid Robot Optimal Gait for Going Upstars Using Intelligent
Algorithms" Industrial Robot - An International Journal Vol. 28, No. 6, 2001; Best Paper Award ofInternational Conference on Artificial Life and Robotics, 2007; Best Innovation Award ofICAME2010, 2010; Excellence in Research Journal Award of Journal of Information TechnologyResearch, 2011. He is a leading organizer of the annual IEEE International Symposium on Robotics
and Intelligent Sensors and IEEE the IEEE International Robot PRIDE Competition.