Speech Overview: Owing to the rapid growth in population and the world economy, annual energy consumption has been increasing worldwide. Carbon dioxide emissions caused by fossil fuel usage have led to environmental concerns and issues such as global warming, which are increasing in severity. The world is currently committed to reducing carbon emissions, such as by replacing fossil fuels with various renewable energy sources. As one renewable energy source, low-grade thermal resources, such as geothermal energy, ocean thermal energy, hot springs, and waste heat from factories are promising renewable energy sources. This low-grade thermal energy can be used for power generation when utilizing binary power generation, because this binary power generation employs working fluids with low boiling points, such as ammonia, pentane, and chlorofluorocarbons, to generate vapor that can drive a turbine. This keynote speech presents a development of an ultra-compact binary power plant.

Biography: Hee-hyol Lee graduated and received Ph.D. degree in 1986 from Waseda University. After his time as an associate professor and a professor at Fukuoka Institute of Technology, he became a professor at Waseda University in 2003 until present. Also he was a visiting professor at University of California, Los Angeles (UCLA) in 2011. He is currently engaging researches in the area of an Analysis, Estimation and Control of Stochastic systems, Voice and Character Recognition, Sliding Mode control, Decoupling system, Intelligent Traffic Control, and Binary Power Generation. He was awarded the Sawaragi Memorial Award for Encouragement in 1986 from the Institute of Systems, Control and Information Engineers, and the Anniversary Memorial Award for Excellent Paper in 2003 from the Institute of Electrical Engineers of Japan. As recent society activities, Program Chair of the International Symposium on Artificial Life and Robotics, and International Symposium on Bio-Complexity; Deputy Editor of Journal of Artificial Life and Robotics, Springer.

Speech Overview: Climate change and energy crisis are two of the biggest global issues of our time. It is critical to develop computing techniques that do not compromise the wellbeing of future generations. To reduce IT carbon footprint, and to support emerging data-analytic workloads that tend to scale well with large number of compute nodes, there is a heightening demand for green high-performance computing and communication systems. In this talk we would like to share our views on the design methodologies for sustainable computing. We divide sustainable computing system design into three layers and present the opportunities that each layer faces. We also discuss the deep challenges that must be addressed in the sustainable computing era. First, a new resource management abstraction for gaining visibility into the underlying infrastructure is needed. In addition, a framework that synergistically combines various software/hardware tuning knobs at each layer is necessary. Finally, we introduce some applications using our “Energy-Architecture-Workload” co-designed methodology, in smart cities and E-health areas, especially in Lesion-aware Deep Learning System for Diabetic Retinopathy Screening. The above applications constitute the initial idea of a sustainable computing design, which will lead to a more environmentally friendly digital infrastructure, as required by the ongoing shift in computing paradigm.

Biography: Dr. Minyi Guo is the Zhiyuan Chair Professor, an IEEE Fellow, and an ACM Distinguished Member. Additionally, he is the Department of Computer Science and Engineering Director of the Embedded and Pervasive Computing Center at Shanghai Jiao Tong University. Dr. Minyi Guo received the BSc and ME degrees in computer science from Nanjing University, China; and the PhD degree in computer science from the University of Tsukuba, Japan. Before joined SJTU, Dr. Guo had been a professor of the school of computer science and engineering, University of Aizu, Japan. Dr. Guo received the national science fund for distinguished young scholars from NSFC in 2007. His present research interests include parallel/distributed computing, compiler optimizations, big data and cloud computing. He has more than 500 publications in major journals and international conferences in these areas. He received 7 best/highlight paper awards from international conferences including ALSPOS 2017 and ICCD 2018. Dr. Guo also got the national science and technology achievement award in 2019. He is now Editor-in-Chief of IEEE Transactions on Sustainable Computing, and on the editorial board of IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Cloud Computing and Journal of Parallel and Distributed Computing. From 2009, he is a chair professor the Department of Computer Science and Engineering of Shanghai Jiao Tong University (SJTU), China, and was the department head from 2009 to 2019. He won 2023 IEEE Edward J. McCluskey Technical Achievement Award for his contributions to the design and realization of resource-efficient cloud computing.

A1-1 (26): Large Language Models Assisted Text-based Fine-grained Emotion Detection
Alvin Liang Hao Lu, Yu Xiao, Mizuho Iwaihara
(Waseda University)

A1-2 (35): Snow Removal for Point Cloud with CRFs
Weimin Wang
(Dalian University of Technology)

A1-3 (7): Enhancing Low-Resource Neural Machine Translation by Using Case-Based Reasoning
Ruibo Hou, Hengjie Liu, Yves Lepage
(Waseda University)

A1-4 (13): Loading Force Prediction for Fish Vertebrae Based on Topology Optimization and Deep Learning
Longsen Yang¹, Misaki Sakashita², Shintaro Yamasaki¹
(¹Waseda University,
²Tokyo University of Science)

B1-1 (30): Preparation of carbon based PEDOT-redox polymer electrodes by electrochemical polymerization for microbial bioelectronics
Gu Shenghan, Mehes Gabor, Takeo Miyake
(Waseda University)

B1-2 (23): Intelligent Tutoring Based on Virtual Simulation Technology
Dazi Li, Jiahui Xu, Xun Chen
(Beijing University of Chemical Technology)

B1-3 (36): Measurement of ultrahigh dense Fe emission lines by a spectrometer without coma aberration in the 170-600 nm spectral region
Liang-Yao Chen², Chu Li³, Osamu Yoshie¹
(¹Waseda University,
²Fudan University,
³Fudan university)

B1-4 (2): An Improved Linear Active Disturbance Controller with Application in a CSTR Process
Xun Chen, Jiahui Xu, Dazi Li
(Beijing University of Chemical Technology)

Green tea and Japanese pastry wil be offered to 5 to 10 attendants every half an hour.

A2-1 (20): ADMM-based Distributed Algorithm for Energy Management in Multi-microgrid System
Huen Lou, Shigeru Fujimura
(Waseda University)

A2-2 (8): An Integrated Longitudinal and Lateral Following Control for Connected and Automated Vehicle Platooning
Libo Sun, Yanzheng Wu, Wenhu Qin
(Southeast University)

A2-3 (18): Performance Analysis of Econometrics Model and Artificial Intelligence Empowered Forecasting Fiat-settled Cryptocurrency Price
Xiaotong Jiang, Jun Wu
(Waseda University)

A2-4 (25): Multi-modal Demand Side Management in Microgrid System via Improved Particle Swarm Optimization
Sicheng Hou, Shigeru Fujimura
(Waseda University)

B2-1 (31): A Patch Embedding in Vision Transformer robust against Positional Variation
Keigo Shibata, Mitsuki Sueyasu, Yoshimitsu Kuroki
(National Institute of Technology, Kurume College)

B2-2 (4): An image Deblurring Algorithm based on the Diffusion Model
Liang Xu, Yifeng Zhang
(Southeast University)

B2-3 (37): More meaningful patches for Vision Transformer using Convolutional Sparse Representation
Yudai Inada, Yuto Tsukiashi, Yoshimitsu Kuroki
(National Institute of Technology, Kurume College)

B2-4 (14): Kuzushiji Recognition for Ancient Documents Using Knowledge Distillation
Pengfeng Lu, Sei-Ichiro Kamata
(Waseda University)

A3-1 (3): Understanding Pedestrian Trajectory Prediction from the Planning Perspective
Dongchen Li, Jinglu Hu
(Waseda University)

A3-2 (10): A sparse adaptive model identification method for complex systems
Jiaming Fan, Xilei Chen, Shuhua Hu
(Southeast University)

A3-3 (27): Attention Mechanism-based Deep Reinforcement Learning for Dynamic Job-Shop Scheduling
Goytom Gebreyesus, Getu Fellek, Ahmed Farid, Shigeru Fujimura, Osamu Yoshie
(Waseda University)

B3-1 (32): Design of a silicon photonic crystal slow light waveguide in perturbed kagome lattice with a step taper for efficient light coupling
Deji Li, Kiyoto Takahata
(Waseda University)

B3-2 (34): Design of Narrow Linewidth Distributed Reflector Laser with Detuned Loading Effect
Chongrui Zhang, Takaaki Kakitsuka
(Waseda University)

B3-3 (11): LSTM-Aided Semiconductor Light Emitting Diode Longevity Estimation via High-Temperature Acceleration
Minzhi Xu, Ziyu Yan, Mofei Hu, Yinglan Wang, Shichao Yue
(Southeast University)

B3-4 (33): Design of a product-sum photonic circuit based on micro-ring modulators and semiconductor optical amplifiers.
Toshinori Ninomiya, Kiyoto Takahata
(Waseda University)

Speech Overview: Development of artificial organs, biosensors, regenerative medicines, drug delivery systems need the advanced materials which would be achieve specific functions. Moreover, these materials used in devices have to consider the optimum interface properties in addition of mechanical, chemical and biological compatibilities. Because interface is the first contact area between surface of materials and biological species, such as protein and cells. In general, protein adsorption induces the platelet adhesion and activate the coagulation of blood when the medical device implanted to our body. In general, protein adsorption induces the platelet adhesion and activate the coagulation of blood when the medical device implanted to our body. That is unfavorable event, thus we have to invent for inhibitaion of the reactions by material technology. What are the appropriate materials, and interfaces, the reaseracher are seeking the answers. In this talk, looking at biointerfaces of artificial lung for long term use, and of wearable and implantable biosensors, and biofuel cells by nanostructured design of biocompatible polymers.

Biography: Madoka Takai is a Professor of Department of Bioengineering at The University of Tokyo from 2011. She was an associate professor of Department of Materials Engineering, The University of Tokyo from 2003-2010. She received a PhD. in Applied Chemistry from School of Fundamental Science and Engineering, Waseda University. The interests are basic science of interface between biomolecules or cells and materials, and development of polymer materials for biomedical and healthcare devices, such as artificial organs, biosensors, biofuel cells. She received awards "Research achievement for female researcher" from the Japan Society of Applied Physics in 2012, and "Outstanding Researcher Award on Chemistry and Micro-Nano Systems" from Chemistry and Micro-Nano Systems in 2010.

Speech Overview: Iridium oxide has attracted extensive attention due to its unique advantages including excellent chemical stability and sensitivity, impressive electrochemical catalytic activity, sufficient electric conductivity, and desirable biocompatibility. To date, iridium oxide has been widely explored in applications such as anodes for water electrolysis, electrochromic layers for smart windows, and pH sensors. In addition, iridium oxide is known for its superb charge storage capacity and long-term stability renders it a desirable candidate as a bio-interface electrode for implantable bio-medical electronic devices. In this study, we developed solution processes to prepare iridium oxide film for bio-interface applications. We also characterized the electrochemical properties of the iridium oxide films and examined its stability. The iridium oxide film was found to be robust and revealed excellent charge storage capacity and charge injection capability. Additionally, the solution process allows the synthesis of iridium oxide hybrid film by combining plasma protein with enhanced electroactivity, improved cytocompatibility, and controllable electrically responsive protein release to enhance neuronal activity. Therefore, the iridium oxide film plays a multifunctional role as an electrode for bio-interface applications.

Biography: Dr. Po-Chun Chen received his B.S. and M.S. degrees both in National Chiao Tung University, Department of Materials Science and Engineering in 2006 and 2008, respectively. He obtained his Ph. D. degree in Electrical and Computer Engineering from Texas A&M University (U.S.A.) in 2014. Currently, Dr. Po-Chun Chen is an associate professor in Department of Materials and Mineral Resources Engineering, National Taipei University of Technology, Taipei, Taiwan. He is also an active member at Biomedical Electronics Translational Research Center (BETRC) in National Chiao Tung University, Hsinchu, Taiwan. His research interests include implantable devices, thin film processes, bio-interface materials, and micro/nano structures.

Session Overview: The session will consist in a panel discussion. It will be moderated by Prof. Yoshie (Waseda University). Japanese-English simultaneous interpretation will be provided.

Mr. Miura will speak about: "High affinity between Japanese global IT companies and engineering international students".

Ms. Komorita will speak about: "Digital Transformation (DX) strategies for small engineering firms and the need for global human resources".

W1-1 (101): A study on the development of a driving-level model for autonomous driving based on ODD scenarios
Dae-Kug Lee, Min-Jae Jeon, Dong-Hoon Lee, Dae-Gyu Lee, Ki-Hyeok Jeong, Choong-Ho Cho
(Korea University)

W1-2 (102): Survey of Utilizations, Challenges and Thinking of Neural Networks in Solving Path Planning Problem
Yuan Huang, Cheng-Tien Tsao, Hee-Hyol Lee
(Waseda University)

W1-3 (103): Fire/Non-fire false alarm reduction method using weighted cost function
Saeme Byun, Kim Haneul, Changhyun Lee, Hunkee Kim
(Inha University)

W1-4 (104): Optimum Driving Algorithm to Correspond with Various Outdoor Environment
Seung Min Kim, Yeong Ho Ha, Hyun Seo Jang, Young Eun Song
(Korea University)

W1-5 (105): Theoretical Back Grounds for Efficiency of Robust Design in Multi-Level Optimization
Masao Arakawa
(Waseda University)

W1-6 (106): Traffic Context Augmentation Dataset for Roadway Environment Situation Awareness of Autonomous Driving
Sunghwan Kim, Ir. Made Sudarma, Deven Witarsyah Jacob, Minho Jo
(Korea University)

W1-7 (107): Portable ECG Monitor on Edge Device using TensorFlow Lite
Cheonghwan Hwang, Nagyoum An, Jaehyun Park
(Inha University)

W1-8 (108): Multi-Input Shape CNN-based Application Traffic Classification
Ui-Jun Baek, Jee-Tae Park, Jeong-Woo Choi, Myung-Sup Kim
(Korea University)

W1-9 (109): Optimal Logistics Distribution Algorithm for Autonomous Delivery for Local Logistics Hub System
Yeong-Ho Ha, Seong-Min Kim, Hyun-Seo Jang, Young-Eun Song
(Korea University)

C1-1 (24): Investigation of The Effects of Irradiation Dose-rate on Reactive Oxygen Species Generation: Attempt to Improve Radiotherapy for Cancer
Hengmao Zhang, Junko Takahashi
(Waseda University)

C1-2 (38): Soft Magnetic Sensor with High Precision Multi-directional Force Detection Capability
Pinzhen Chen, Shenshun Duan, Fangzhi Zhao, Qiongfeng Shi, Jun Wu
(Southeast University)

C1-3 (29): Wearable, stretchable, wireless strain sensors for intraocular ocular pressure measurement
Hanzhe Zhang, Te Xiao, Azhari Saman, Takeo Miyake
(Waseda University)

C1-4 (39): Hand Pose Estimation enabled by Visual-Tactile Fusion
Fangzhi Zhao, Shengshun Duan, Pinzhen Chen, Jun Wu, Qiongfeng Shi
(Southeast University)

D1-1 (12): Hardware-conscious Training for Deep Neural Network Inference Accelerators to Restore Accuracy Degradation due to Hardware Imperfection
Shuchao Gao, Takashi Ohsawa
(Waseda University)

D1-2 (5): High-perfomance dual-compensation voltage reference
Yu Jiang
(Southeast University)

D1-3 (15): Fabrication of Ultra-Low Resonance Frequency Inertial MEMS Using Through-Silicon Deep-RIE Applied To Silicon-on-Glass
Jun Wu, Hui Zhang, Tamio Ikehashi
(Waseda University)

D1-4 (22): A 201.8-dBc/Hz-FoMT 74.2% Tuning Range LC-VCO IC with a Bias-Shifted Three-Stage Novel Varactor in 45-nm CMOS SOI
Chenxu Zhao, Mengchu Fang, Toshihiko Yoshimasu
(Waseda University)

W2-1 (110): Robot Car Motion Control Leveraging Hand Gesture Recognition with MediaPipe
Jianan Xie, Yue Yi, Kenji Hashimoto
(Waseda University)

W2-2 (111): A Dynamic Human Following Method Based on Ultra-Wideband System for Mobile Robots: Application and Strategies in Librarian Assistance
Yun Kang, Taehoon Kim, Chengyan Gu, Jinchul Roh, Joono Cheong
(Korea University)

W2-3 (112): An Advanced Motor-less Walking Assist Harnesses Power by Integrated Dual-Slider Lever Mechanism
Xiuyuan Wu, Keisuke Osawa, Yuntian Wang, Eiichiro Tanaka
(Waseda University)

W2-4 (113): Development of a Social Coexistent Two-Wheeled Inverted Pendulum Balancing Robot
Chengyan Gu, Taehoon Kim, Joono Cheong
(Korea University)

W2-5 (114): Development of a Stepper Motor Powered Lower Limb Exoskeleton with 3-DOF Kinematic-Biological Matched Hip Joint Structure
Yuntian Wang, Yifan Fang, Xiuyuan Wu, Keisuke Osawa, Eiichiro Tanaka
(Waseda University)

W2-6 (115): Computer vision based surface defect inspection of injection molded products
Hee Min Noh, Pyeon MinJi, Chang Hyun Lee, Hun Kee Kim
(Inha University)

W2-7 (116): Graphene nanostructures grown on stainless steel by plasma chemical vapor deposition
Siyu Jia, Jun Kameoka, Kenji Ueda
(Waseda University)

W2-8 (117): A study on the high-aspect-ratio oxide etching characteristics using a 2 MHz bias power ICP system
Kwang-Ho Kwon
(Korea University)

C2-1 (16): When Honeypot Meets Differential Privacy for Protection of Public Opinion Heat
Zhengyi Sun, Jun Wu
(Waseda University)

C2-2 (6): 5G NR Link Level Simulation Using Simulink HDL Coder
Yifei Yang, Yi Zhang
(Southeast University)

C2-3 (17): Decentralized Bitcoin Mixing Scheme with Zero Knowledge Privacy Preserving
Xijian Xu, Jun Wu
(Waseda University)

C2-4 (19): Meta Reinforcement Learning based Fast-Adaptation of Joint User Scheduling and Task Offloading for Industrial IoT
Hansong Xu¹, Qianqian Pan², Xing Liu³
(¹Shanghai Jiao Tong University,
²The University of Tokyo,
³Sam Houston State University)

D2-1 (1): Grid Sample Based Temporal Iteration for Fully Pipelined 1-ms SLIC Superpixel Segmentation System
Yuan Li, Takeshi Ikenaga
(Waseda University)

D2-2 (21): Tomato Leaf Disease Classification Method Based on New Architecture of Convolutional Neural Networks
Syaiful Anam², Cynthia Ayu Dwi Lestari², Fidia Deny Tisna Amijaya¹, Hagus Tarno², Zuraidah Fitriah², Adli Djul Ikram²
(¹Mulawarman University,
²Brawijaya University)

D2-3 (9): Simulated Lidar Operator Loop Closure Method for Visual SLAM
Junyi Yuan¹, Kaoru Hirota², Yaping Dai¹
(¹Beijing Institute of Technology,
²Tokyo Institute of Technology)

D2-4 (28): A Pytorch-based Environment for CNNs Using Approximate Multipliers
Ke Ma, Shinji Kimura
(Waseda University)