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Transformer-Based Macroscopic Regulation for High-Speed Railway Timetable Rescheduling

IEEE/CAA Journal of Automatica Sinica 2023年第9期10卷 1822-1833页

作者： Wei Xu Chen Zhao Jie Cheng Yin Wang Yiqing Tang Tao Zhang Zhiming Yuan Yisheng Lv Fei-Yue Wang Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China Signal&Communication Research Institute China Academy Railway SciencesBeijing 100081China School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049 State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China IEEE State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 Macao Institute of Systems Engineering Macao University of Science and TechnologyMacao 999078China

Unexpected delays in train operations can cause a cascade of negative consequences in a high-speed railway *** such cases,train timetables need to be ***,timely and efficient train timetable rescheduling is still a challenging problem due to its modeling difficulties and low optimization *** paper presents a Transformer-based macroscopic regulation approach which consists of two stages including Transformer-based modeling and policy-based ***,the relationship between various train schedules and operations is described by creating a macroscopic model with the Transformer,providing the better understanding of overall operation in the high-speed railway ***,a policy-based approach is used to solve a continuous decision problem after macro-modeling for fast *** experiments on various delay scenarios are *** results demonstrate the effectiveness of the proposed method in comparison to other popular methods.

关键词： High-speed railway reinforcement learning train timetable rescheduling Transformer

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A multi-band atomic candle with microwave-dressed Rydberg atoms

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Frontiers of physics 2023年第1期18卷 201-207页

作者： Yafen Cai Shuai Shi Yijia Zhou Jianhao Yu Yali Tian Yitong Li Kuan Zhang Chenhao Du Weibin Li Lin Li MOE Key Laboratory of Fundamental Physical Quantities Measurement Hubei Key Laboratory of Gravitation and Quantum PhysicsPGMFInstitute for Quantum Science and EngineeringSchool of PhysicsHuazhong University of Science and TechnologyWuhan 430074China Graduate School of China Academy of Engineering Physics Beijing 100193China School of Physics and Astronomy and Centre for the Mathematics and Theoretical Physics of Quantum Non-equilibrium Systems University of NottinghamNottinghamNG72RDUK

Stabilizing important physical quantities to atom-based standards lies at the heart of modern atomic,molecular and optical physics,and is widely applied to the field of precision *** particular importance is the atom-based microwave field amplitude stabilizer,the so-called atomic *** atomic candles are realized with atoms in their ground state,and hence suffer from the lack of frequency band tunability and small stabilization bandwidth,severely limiting their development and potential *** tackle these limitations,we employ microwave-dressed Rydberg atoms to realize a novel atomic candle that features multi-band frequency tunability and large stabilization *** demonstrate amplitude stabilization of microwave field from C-band to Ka-band,which could be extended to quasi-DC and terahertz fields by exploring abundant Rydberg *** atomic candle achieves stabilization bandwidth of 100 Hz,outperforming previous ones by more than two orders of *** simulation indicates the stabilization bandwidth can be further increased up to 100 *** work paves a route to develop novel electric field control and applications with a noise-resilient,miniaturized,sensitive and broadband atomic candle.

关键词： Rydberg atoms microwave atomic spectroscopy

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IoT-based Smart Hydroponic System Using Nutrient Film Technique (NFT) for Lettuce Plant 12

IoT-based Smart Hydroponic System Using Nutrient Film Techni...

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12th IEEE Global Conference on Consumer Electronics, GCCE 2023

作者： Zaid, Abang Muhamad Rauf, Natasha Amira Abdul Nor, Danial Md Saon, Sharifah Mahamad, Abd Kadir Ahmadon, Mohd Anuaruddin Bin Yamaguchi, Shingo University Tun Hussein Onn Malaysia Faculty of Electrical and Electronic Engineering Johor Malaysia Yamaguchi University Graduate School of Science and Technology for Innovation Japan

ISBN: (纸本)9798350340181

Hydroponic system can be defined as a modern soilless agriculture technology that utilizes the use of water. This project aims to develop the Smart Hydroponic System using nutrient film technique (NFT) for lettuce plants with the integration of IoT to provide an optimum growing environment with minimal human intervention. Monitoring and managing a hydroponic system can be time-consuming and labor-intensive, especially in a larger hydroponic setup. The hydroponic system is also sensitive to environmental changes;timely adjustments are necessary to ensure plant health. The major component used for this proposed work are the ESP32 microcontroller, BH1750 sensor, DHT11 sensor module, TDS sensor, pH sensor, LED Light, Water pump, DC fan, and ultrasonic atomizer. The essential parameter like light intensity, environment temperature, humidity, TDS level, and pH value has been monitored remotely through the Favoriot IoT platform. The integration between an automated hydroponic system with IoT;through the Favoriot application, enables these parameters to be monitored remotely in real-time. The actuator in the system can act automatically to control those parameters to achieve its optimum requirement. The test has been conducted to measure the functionality and performance of the proposed system. © 2023 IEEE.

关键词： Lettuce

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Damage Conditions and Structural Performance Assessment for Small Bridges Subjected to Seismic Forces 7th

Damage Conditions and Structural Performance Assessment for ...

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7th International Conference on Civil engineering and Architecture, ICCEA 2024

作者： Kien, Le Trung Minato, Toshihiko Satou, Kenichi Fukada, Saiji Graduate School of Natural Science and Technology Kanazawa University Ishikawa Japan Tokyo Consultants Co. Ltd. Ishikawa Japan Faculty of Geosciences and Civil Engineering Kanazawa University Ishikawa Japan

ISBN: (纸本)9789819661145

The 2024 Noto Peninsula Earthquake, registering a magnitude of 7.6 on the Japan Meteorological Agency (JMA) scale, caused significant structural damage across the region, including to the Target Bridge. Despite undergoing repairs in 2022, the bridge exhibited notable issues post-earthquake, such as increased peak strain values, static strain values, and unusually large oscillations in strain data. These findings suggest potential deformation of the bridge girders and damage to the bearings, likely exacerbated by the earthquake. To evaluate the bridge’s performance, bridge weigh-in-motion (BWIM) techniques were employed. Sensors were strategically installed along the bridge girders to capture real-time strain data under normal traffic conditions, with high-frequency sampling providing detailed insights. Strain data collected in 2023 and 2024, calculated by impact factor, showed significant differences, underscoring the impact of the earthquake on the bridge’s structural integrity. Implementing these measures will help maintain the bridge’s operational capacity and resilience against future seismic events, ensuring safe passage for the daily traffic it supports. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Earthquake effects

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Power Assisting Control System for Electric Bicycles Based on Simple Adaptive Control 9

Power Assisting Control System for Electric Bicycles Based o...

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9th International Conference on Control, Decision and Information Technologies, CoDIT 2023

作者： Hatada, Kazuyoshi Hirata, Kentaro Fukuoka University Faculty of Engineering Fukuoka814-0180 Japan Graduate School of Natural Science and Technology Okayama University Okayama700-8530 Japan

ISBN: (纸本)9798350311402

This paper discusses energy-efficient power assisting control systems. In particular, this study focuses on pedaling motions of electric power-assisted bicycles. To improve energy efficiency, it is effective to suppress a velocity pulsation invoked by the pulsation of the pedaling torque. Since the conditions related to dynamics of the bicycle drive trains are varied, it is required to apply adaptive control methods from a practical viewpoint. Therefore, this paper presents a power assist control system based on simple adaptive control (SAC). The effectiveness of the proposed system is verified through numerical simulations using measured actual pedaling torque data. © 2023 IEEE.

关键词： Bicycles

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Malaysian Food Recognition and Calories Estimation Using CNN With TensorFlow 12

Malaysian Food Recognition and Calories Estimation Using CNN...

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12th IEEE Global Conference on Consumer Electronics, GCCE 2023

作者： Rauf, Natasha Amira Abdul Zaid, Abang Muhamad Saon, Sharifah Mahamad, Abd Kadir Bin Ahmadon, Mohd Anuaruddin Yamaguchi, Shingo University Tun Hussein Onn Malaysia Faculty of Electrical and Electronic Engineering Johor Malaysia Yamaguchi University Graduate School of Science and Technology for Innovation Japan

ISBN: (纸本)9798350340181

In Malaysia, health monitoring has become a top priority, especially in regard to calorie intake, which is essential for keeping a fit body. The prevalence of overweight people and obesity-related disorders, including diabetes and cardiovascular problems, is alarmingly rising across the nation. The current approach of manually calculating calories based on the amount of food consumed can produce unreliable results. A project utilizing a Convolutional Neural Network (CNN) to detect food classes and a TensorFlow model to calculate calorie counts to address this issue. Combining different Kaggle datasets resulted in a collection of popular Malaysian cuisines, including three regional specialties and three fruits. The TensorFlow model was then trained and tested using the TensorFlow Keras framework. To evaluate the project's accuracy, the performance of the developed model was compared to that of commercial calories using data from the United States Department of Agriculture (USDA) and the Malaysia Ministry of Health (KKM) as a reference. © 2023 IEEE.

关键词： Convolutional neural networks

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Study on the Applicability Considering on the Relationship between Shape and Flexibility of the Adsorption Gripper Tip 7

Study on the Applicability Considering on the Relationship b...

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7th International Conference on Control and Robotics engineering, ICCRE 2022

作者： Ofuchi, Akira Fujiwara, Daisuke Iizuka, Kojiro Shibaura Institute of Technology Graduate School of Systems Engineering and Science Saitama Japan Suwa University of Science Faculty of Engineering Department of Mechanical & Electrical Engineering Chino Japan Shibaura Institute of Technology Department of Machinery and Control System Saitama Japan

ISBN: (纸本)9781665468404

This study considers automatic scallop harvesting using the drone with the robot arm as the new scallop fishery. The fishery needs the dedicated gripper attaching the robot arm. This study judges the adsorption gripper as the dedicated gripper. The adsorption gripper must push itself to the object during gripping motion. If the pushing force is too large, there are some problems with the grasping. This study focuses on the flexibility of the gripper tip contacting object to solve those problems. Then, we investigate the applicability considering on the relationship between shape and flexibility of the adsorption gripper tip from the experiment. From these considerations, the dedicated gripper has been developed. © 2022 IEEE.

关键词： Adsorption

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Pedestrian-Vehicle Collision Avoidance Support System Considering the Left and Right Positions of Pedestrians 33

Pedestrian-Vehicle Collision Avoidance Support System Consid...

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33rd International Telecommunication Networks and Applications Conference, ITNAC 2023

作者： Uchida, Sota Shimada, Hikaru Wada, Tomotaka Hashimoto, Naohisa Graduate School of Science and Enigineering Kansai University Osaka Japan Kansai Univesity Faculty of Engineering Science Osaka Japan National Institute of Advanced Industrial Science and Technology Ibaraki Japan

ISBN: (纸本)9798350317138

The increase in the number of automobiles has caused social problems such as traffic accidents and chronic traffic congestion in urban areas. We focus on the Pedestrian-Vehicle Collision Avoidance Assistance System (P-VCASS), which assists drivers in avoiding collisions between vehicles and pedestrians. P-VCASS warns a driver when a potential collision is predicted. However, this method does not consider differences in danger depending on the position of pedestrians in a pedestrian crossing. In addition, it does not assume the case where there are multiple pedestrians. To solve these problems, we propose a warning system that assumes multiple pedestrians and calculates the degree of danger by considering the left and right positions of pedestrians. The effectiveness of the proposed system is demonstrated through experiments using vehicle and pedestrian terminals in pedestrian crossings. The results show that the proposed system can calculate the degree of danger for each pedestrian and provide appropriate warnings to drivers. © 2023 IEEE.

关键词： Vehicles

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Modelling Traffic Conditions in Developing Urban Areas: A Combined Approach of Explainable Artificial Intelligence and Mobile Crowd-Sourcing 17th

Modelling Traffic Conditions in Developing Urban Areas: A C...

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17th World Congress on engineering Asset Management, WCEAM 2023

作者： Pham, Hung Pham, Thanh Luong, Stanley Nguyen, Khuong Nguyen, Hoang-Thao-Quynh Nguyen, Quang Dang School of Science Engineering and Technology Royal Melbourne Institute of Technology Ho Chi Minh City Viet Nam The Vietnam National Institute of Education Sciences Hanoi Viet Nam Centre for Complex Systems Faculty of Engineering University of Sydney CamperdownNSW Australia

ISBN: (纸本)9783031590412

Traffic congestion remains a persistent and challenging issue in major urban centers, particularly in developing countries where transportation infrastructure struggles to keep pace with rapidly growing demand. This paper proposes innovative solutions to address this issue by introducing mobile crowd-sourcing based approaches for traffic condition estimation. A scalable framework is outlined for the efficient collection, integration, and analysis of traffic-related data contributed by mobile crowds. Furthermore, the paper addresses critical issues related to reliably predicting traffic conditions where prediction interpretation is unavailable, utilizing an machine learning model backed by Explainable Artificial Intelligence. By leveraging the explainability of the model, valuable insights can be extracted to enhance traffic conditions and improve overall social welfare. © International Society of engineering Asset Management 2024.

关键词： Traffic congestion

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A STUDY ON DYNAMIC RESPONSE DISPLACEMENT MEASURING METHODS FOR BUILDING UNDER EARTHQUAKE USING SATELLITE technology WITH TWO MOVABLE VIBRATION TABLES

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AIJ Journal of technology and Design 2024年第74期30卷 65-70页

作者： Hashimoto, Akihiro Mukai, Tomohisa Tajima, Kazuyuki Nakamura, Akihiro Ariki, Katsuyoshi Kinugasa, Hideyuki Dept. of Architecture Graduate School of Science and Technology Tokyo Univ. of Science Japan Building Dept. National Institute for Land and Infrastructure Management Program Management Division Ground Facilities Dept. The Japan Aerospace Exploration Agency Dept. of Structural Engineering Building Research Institute Dept. of Structural Engineering Building Research Institute Urban Renaissance Agency Japan Dept. of Architecture Faculty of Science and Technology Tokyo Univ. of Science Japan

In recent years, research has been conducted to establish a method for quickly and appropriately determining damage to buildings during an earthquake using sensors, and it’s useful to appropriately evaluate the maximum and residual displacement during an earthquake. The purpose of this study is to propose a disaster assessment method using a satellite positioning system that directly measures the response displacement of a building from satellite positioning information. In this paper, the positioning accuracy is verified when calculating the relative displacement using two movable vibration tables that assume the top floor of a building and the ground surface under earthquake. © 2024 Architectural Institute of Japan. All rights reserved.

关键词： Earthquakes

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