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DeST 3.0:A new-generation building performance simulation platform

Building Simulation 2022年第11期15卷 1849-1868页

作者： Da Yan Xin Zhou Jingjing An Xuyuan Kang Fan Bu Youming Chen Yiqun Pan Yan Gao Qunli Zhang Hui Zhou Kuining Qiu Jing Liu Yan Liu Honglian Li Lei Zhang Hong Dong Lixin Sun Song Pan Xiang Zhou Zhe Tian Wenjie Zhang Ruhong Wu Hongsan Sun Yu Huang Xiaohong Su Yongwei Zhang Rui Shen Diankun Chen Guangyuan Wei Yixing Chen Jinqing Peng Building Energy Research Center School of ArchitectureTsinghua UniversityBeijing 100084China School of Architecture Southeast UniversityNanjingJiangsu 210096China School of Environment and Energy Engineering Beijing University of Civil Engineering and ArchitectureBeijing 100044China College of Civil Engineering Hunan UniversityChangshaHunan 410082China School of Mechanical Engineering Tongji UniversityShanghai200092China Beijing Key Lab of Heating Gas SupplyVentilating and Air Conditioning EngineeringBeijing University of Civil Engineering and ArchitectureBeijing 100044China China State Construction Technology Center Beijing 101320China School of Architecture Harbin Institute of TechnologyHarbinHeilongjiang 150090China School of Architecture Xi'an University of Architecture and TechnologyXi'anShaanxi 710055China School of Architecture South China University of TechnologyGuangzhouGuangdong 510641China Institute of Building Environment and Energy China Academy of Building ResearchBeijing 100013China Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology Beijing University of TechnologyBeijing 100124China Key Lab of Built Environment and Energy of Tianjin School of Environmental Science and EngineeringTianjin UniversityTianjin 300350China School of Energy and Power Engineering Nanjing University of Science and TechnologyNanjing 210094China School of Civil Engineering Guangzhou UniversityGuangzhou 510006China Faculty of Computing Harbin Institute of TechnologyHarbinHeilongjiang 150001China Beijing Glory PKPM Technology Co. Ltd.Beijing 100013China Beijing Tangent Software Co. LtdBeijing 100081China Shanghai Huadianyuan Information Technology Co. LtdShanghai200092China Luoyang Hongye Information Technology Co. Ltd.LuoyangHenan 471822China

Buildings contribute to almost 30%of total energy consumption *** building energy modeling programs is of great significance for lifecycle building performance assessment and *** in novel building technologies,the requirements of high-performance computation,and the demands for multi-objective models have brought new challenges for building energy modeling software and *** meet the increasing simulation demands,DeST 3.0,a new-generation building performance simulation platform,was developed and *** structure of DeST 3.0 incorporates four simulation engines,including building analysis and simulation(BAS)engine,HVAC system engine,combined plant simulation(CPS)engine,and energy system(ES)engine,connected by air loop and water loop balancing *** 3.0 offers numerous new simulation features,such as advanced simulation modules for building envelopes,occupant behavior and energy systems,cross-platform and compatible simulation kernel,FMI/FMU-based co-simulation functionalities,and high-performance parallel simulation *** 3.0 has been thoroughly evaluated and validated using code verification,inter-program comparison,and case-study *** 3.0 has been applied in various aspects throughout the building lifecycle,supporting building design,operation,retrofit analysis,code appliance,technology adaptability evaluation as well as research and *** new generation building simulation platform DeST 3.0 provides an efficient tool and comprehensive simulation platform for lifecycle building performance analysis and optimization.

关键词： DeST building performance simulation building energy modeling

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Resonant Beam Multi-Target DOA Estimation

arXiv

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arXiv 2024年

作者： Guo, Yixuan Jiang, Qingwei Xiong, Mingliang Fang, Wen Liu, Mingqing Zhang, Qingqing Liu, Qingwen Yan, Gang Research Institute for Intelligent Autonomous Systems Tongji University Shanghai201210 China Department of Computer Science and Technology Tongji University Shanghai201804 China College of Electronics and Information Engineering Tongji University Shanghai201804 China LiFi Research and Development Center Department of Engineering University of Cambridge Cambridge United Kingdom School of Information Engineering Zhejiang University of Technology Zhejiang Hangzhou310014 China University of Electronic Science and Technology of China Zhejiang Huzhou313001 China School of Physics Science and Engineering Tongji University Shanghai200092 China

With the increasing demand for internet of things (IoT) applications, especially for location-based services, how to locate passive mobile targets (MTs) with minimal beam control has become a challenge. Resonant beam systems are considered promising IoT technologies with advantages such as beam self-alignment and energy concentration. To establish a resonant system in the radio frequency (RF) band and achieve multi-target localization, this paper designs a multi-target resonant system architecture, allowing a single base station (BS) to independently connect with multiple MTs. By employing a retro-directive array, a multi-channel cyclic model is established to realize one-to-many electromagnetic wave propagation and MT direction-of-arrival (DOA) estimation through echo resonance. Simulation results show that the proposed system supports resonant establishment between the BS and multiple MTs. This helps the BS to still have high DOA estimation accuracy in the face of multiple passive MTs, and can ensure that the DOA error is less than 1◦ within a range of 6 meters at a 50◦ field of view, with higher accuracy than active beamforming localization systems. Copyright © 2024, The Authors. All rights reserved.

关键词： Direction of arrival

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Femtosecond Laser-Inscribed Polarization-Maintaining Fiber Bragg Grating Using Line-by-Line Technique for Generating Wavelength-Switchable Erbium-Doped Fiber Lasers

SSRN

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SSRN 2023年

作者： He, Wei Hu, Jun Liu, Haochong Ma, Siqi Zhu, Lianqing Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument Beijing Information Science and Technology University Beijing100192 China Beijing Laboratory of Optical Fiber Sensing and Systems Beijing Information Science and Technology University Beijing100192 China Beijing Institute of Control Engineering Beijing100190 China

In this study, a polarization-maintaining fiber Bragg grating (PM-FBG) was inscribed by a femtosecond laser using a line-by-line method and used as a wavelength selector for a wavelength-switchable erbium-doped fiber laser (EDFL). The PM-FBG period was 1.075 μm, and the grating length was 3200 μm. For the proposed EDFL, the lasing threshold was 64 mW, and switchable lasing emissions with stable single and dual wavelengths were realized by adjusting a polarization controller. For the experiments, different single-wavelength switchable lasers with scope values of 1563.34–1564.02 nm were generated, six dual-wavelength lasers were obtained, and a triple-wavelength laser output was realized. The power fluctuations of the single- and dual-wavelength lasers were lower than 0.331 and 0.682 dB, respectively, over a 25 min monitoring time. © 2023, The Authors. All rights reserved.

关键词： Femtosecond lasers

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Adaptive Caching Policies for Chiplet systems Based on Reinforcement Learning

Adaptive Caching Policies for Chiplet Systems Based on Reinf...

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IEEE International Symposium on Circuits and systems (ISCAS)

作者： Chongyi Yang Zhendong Zhang Xiaohang Wang Peng Liu College of Information Science and Electronic Engineering Zhejiang University Hangzhou China Zhejiang Lab Hangzhou China School of Cyber Science and Technology Zhejiang University Hangzhou China

Chiplet packaging becomes a popular solution to integrate more hardware components. However, shared memory access across chiplets suffers from high miss penalty due to long route latency and low bandwidth of inter-chiplet interconnects. We observe that the aggregated last-level cache (LLC) miss penalty takes approximately 35% of time on data access, and that the miss is dominated by coherence miss as a result of shared reads and writes from other LLCs. To address this problem, we propose a caching manager which speculatively enforces (or discards) LLC caching via online reinforcement learning. On every invalidated cacheline, the caching manager receives the cacheline access features, evaluates the current caching policy, and makes the next caching policy adaptively. Experimental evaluation justifies that the caching manager can reduce more than 10% coherence miss and offers a 3% speedup against a state-of-the-art cache coherence protocol.

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On the O(√d/T1/4) Convergence Rate of RMSProp and Its Momentum Extension Measured by 1 Norm

arXiv

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arXiv 2024年

作者： Li, Huan Lin, Zhouchen Institute of Robotics and Automatic Information Systems College of Artificial Intelligence Nankai University Tianjin China National Key Lab of General AI School of Intelligence Science and Technology Peking University Beijing China

Although adaptive gradient methods have been extensively used in deep learning, their convergence rates proved in the literature are all slower than that of SGD, particularly with respect to their dependence on the dimension. This paper considers the classical RMSProp and its momentum extension and establishes the convergence rate of (Equation presented) measured by 1 norm without the bounded gradient assumption, where d is the dimension of the optimization variable, T is the iteration number, and C is a constant identical to that appeared in the optimal convergence rate of SGD. Our convergence rate matches the lower bound with respect to all the coefficients except the dimension d. Since x2 x1 ≤ √dx2 for problems with extremely large d, our convergence rate can be considered to be analogous to the (Equation presented) rate of SGD in the ideal case of ∇f(x)1 = Θ(√d∇f(x)2). © 2024, CC BY.

关键词： Gradient methods

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Ultra-Wide Dual-Polarized Frequency Selective Surface with High Roll-Off Characteristic

Ultra-Wide Dual-Polarized Frequency Selective Surface with H...

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IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP)

作者： Yuqing Sun Da Li Pei Zhang Yudi Fan Erping Li Key Lab of Micro/Nano Electronic and Systems of Zhejiang Zhejiang University-University of Illinois Urbana-Champaign Institute Haining China Department of Information Science & Electronic Engineering Zhejiang University Hangzhou China

ISBN: (数字)9798350351019

ISBN: (纸本)9798350351026

In this paper, a highly selective dual-polarized frequency selective surface (FSS) with an ultra-wide passband is proposed. The proposed FSS achieves a -3dB bandwidth from 2.12 GHz to 6.08 GHz with excellent frequency selectivity. Through multilayer coupling, the FSS maintains a low profile, facilitating practical manufacturing. The angular stability of the model reaches 50° in both TE and TM modes, with a maximum insertion loss below 1dB. This research contributes a novel FSS design with promising practical applications.

关键词： Frequency selective surfaces Couplings Bandwidth Insertion loss Nonhomogeneous media Antennas and propagation Stability analysis Manufacturing Passband Ultra wideband technology

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Sensor Fusion for Glucose Monitoring systems

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IFAC-PapersOnLine 2023年第2期56卷 11527-11532页

作者： Mohamad Al Ahdab Karim Davari Benam Hasti Khoshamadi Anders Lyngvi Fougner Sebastien Gros Section of Automation and Control Department of Electronic Systems Aalborg University Aalborg Øst Denmark Department of Engineering Cybernetics Faculty of Information Technology and Electrical Engineering Norwegian University of Science and Technology (NTNU) O. S. Bragstads Plass 2D 7034 Trondheim Norway

A fully automated artificial pancreas (AP) requires accurate blood glucose (BG) readings. However, many factors can affect the accuracy of commercially available sensors. These factors include sensor artifacts due to the pressure on surrounding tissues, connection loss, and poor calibration. The AP may administer an incorrect insulin bolus due to inaccurate sensor data when the patient is not supervising the system. The situation can be even worse in animal experiments because animals are eager to play with the sensor and apply pressure. In this study, we propose and derive a Multi-Model Kalman Filter with Forgetting Factor (MMKFF) for the problem of fusing information from redundant subcutaneous glucose sensors. The performance of the developed MMKFF was assessed by comparing it against other Kalman Filter (KF) strategies on experimental data obtained in two different animals. The developed MMKFF was shown to provide a reliable fused glucose reading. Additionally, compared to the other KF approaches, the MMKFF was shown to be better able to adjust to changes in the accuracy of the glucose sensors.

关键词： Developments in measurement signal processing Diabetes

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Self-Stretchable Christmas-Tree-Shaped Ultraflexible Neural Probes 22

Self-Stretchable Christmas-Tree-Shaped Ultraflexible Neural ...

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22nd International Conference on Solid-State Sensors, Actuators and Microsystems, Transducers 2023

作者： Tian, Ye Zhou, Cunkai Zhang, Kuikui Yang, Huiran Chen, Zhaohan Zhou, Zhitao Wei, Xiaoling Tao, Tiger H. Sun, Liuyang 2020 X-Lab Shanghai Institute Of Microsystem And Information Technology Chinese Academy Of Sciences Shanghai China Schoool Of Graduate Study University Of Chinese Academy Of Sciences Beijing China College Of Electronics And Information Engineering Shanghai University Of Electric Power Shanghai China Institute Of Intelligent Manufacturing Nanjing Tech University Nanjing China State Key Laboratory Of Transducer Technology Shanghai Institute Of Microsystem And Information Technology Chinese Academy Of Sciences Shanghai China College Of Life Sciences Shanghai Normal University Shanghai China Center Of Materials Science And Optoelectronics Engineering University Of Chinese Academy Of Sciences Beijing China Center For Excellence In Brain Science And Intelligence Technology Chinese Academy Of Sciences Shanghai China Jiangxi Nanchang China Guangdong Institute Of Intelligence Science And Technology Zhuhai Guangdong Hengqin China Tianqiao And Chrissy Chen Institute For Translational Research Shanghai China

ISBN: (纸本)9784886864352

We devised a novel Christmas-tree structure for flexible neural probes, which features recording sites on side-branches that can be folded along the shank of the probe by temporary encapsulation before implantation. This design reduces the size of the implant and minimizes the surgical footprint. Upon implantation, the temporary encapsulation dissolves in vivo, leading to self-stretching of the branches, and an expansion of the lateral detecting range of the probe. We conducted in vitro experiment with our probe in 0.6% agar that mimics the brain tissue environment. The results demonstrate that the neural probe we have developed exhibits self-stretching ability and provides an increased lateral recording range without causing additional damage to the brain tissue. © 2023 IEEJ.

关键词： Brain computer interface Flexible probe Self-stretchable

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A Hybrid Eagle’s Web Swarm Optimization (EWSO) technique for effective cloud resource management

A Hybrid Eagle’s Web Swarm Optimization (EWSO) technique fo...

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International Conference on Advanced Computing, ICAC

作者： N. Jagadish Kumar C. Balasubramanian A. Naresh Kumar G.Praveen Kumar S. Jindhiya Sree Department of Computer science and business systems Sri Sai Ram Engineering college West Tambaram Chennai India Department of Computer science and Engineering P.S.R Engineering college Sivakasi India Department of Information Technology Velammal Institute of Technology Pancheti Chennai India

encompasses a range of tasks focused on the efficient allocation and administration of resources within a cloud computing environment, all in order to meet the requirements of cloud users. The key components of cloud computing resource management consist of resource allocation, task scheduling, load balancing, and data storage optimization. Cloud resource management poses several challenges, including the optimization of resource allocation, efficient task scheduling, and effective data storage management in distributed file systems like HDFS. These challenges require careful consideration and strategic approaches to ensure optimal utilization of resources, timely execution of tasks, and efficient handling of large-scale data. This paper introduces a novel approach for optimizing cloud resources using Eagle’s Web Swarm Optimization (EWSO). The EWSO technique integrates three distinct algorithms, namely the Black Widow optimizer, Golden Eagle optimizer, and Chaotic Leader & Salp optimizer, to address specific aspects of resource optimization in the cloud. By combining these algorithms, the proposed approach aims to enhance the efficiency and the reliability of resource allocation, task scheduling, and HDFS optimization in the cloud environment. To evaluate the effectiveness of the proposed EWSO technique, its efficiency is compared to several other bio-inspired optimization techniques commonly used in cloud resource management. These include WARMS, AARP, ILPEPS and BFDHP. Through this comparison, the performance, and capabilities of the EWSO technique can be assessed in the context of cloud resource management. The findings from experiments prove the effectiveness of the proposed EWSO technique compared to other bio-inspired mechanisms in terms of resource allocation, task scheduling, and HDFS optimization. These findings provide empirical evidence that the EWSO technique outperforms alternative approaches in managing and optimizing cloud resources, highlighting its

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Adaptive PI-Fuzzy Like Control of a Stack Pneumatic Actuators Testbed for Multi-Configuration Small Scale Soft Robotics 6

Adaptive PI-Fuzzy Like Control of a Stack Pneumatic Actuator...

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6th International Conference on Manipulation, Automation, and Robotics at Small Scales, MARSS 2023

作者： Al Mhdawi, Ammar K. Wright, Nick Humaidi, Amjad J. Azar, Ahmad Taher Newcastle University Department of Electrical and Electronic Engineering Newcastle United Kingdom Edge Hill University United Kingdom Prince Sultan University Asscl Lab Saudi Arabia University of Technology Control and Systems Engineering Department Baghdad Iraq College of Computer & Information Sciences Prince Sultan University Riyadh Saudi Arabia Benha University Faculty of Computers and Artificial Intelligence Egypt

ISBN: (纸本)9798350330397

It has become evident that pneumatic muscle-based robots are the most compliant of all soft and semi-soft robotic testbeds under investigation, despite the fact that the artificial muscle-based robot is the most challenging due to its hyperelastic behavior resulting from the constitutive elastic material. The purpose of this paper is to examine the development of a physical pneumatic actuation testbed and the application of control strategies for precision small scale soft robotics control. Moreover, an adaptive PI-Fuzzy like control is proposed for reference signal tracking. It is imperative to note that in this application, the controller's performance is determined by its ability to track a reference signal as well as its ability to minimize the absolute tracking error. The Fuzzy Logic Controller (FLC) controller, including the nature of the membership functions and the rule base, is described in detail. Simulations and hardware testing have revealed that the adaptive PI-Fuzzy like controller outperforms the traditional FLC controller in terms of experimental results. Additionally, the actuation speed is controlled under different loading conditions. It is considered that the proposed testbed is capable of controlling and managing multi-configurations of medium to small scale soft-based robots efficiently and effectively. © 2023 IEEE.

关键词： Controllers

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