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IEEE Photonics Journal 2023年第1期15卷 1页

作者： Chung, Kuo-Fang Shih, Tien-Tsorng Lee, Jiun-Haw Huang, Ding-Wei Huang Graduate Institute of Photonics and Optoelectronics National Taiwan University Taipei106319 Taiwan Department of Electronic Engineering National Kaohsiung University of Science and Technology Kaohsiung807618 Taiwan Department of Electrical Engineering National Taiwan University Taipei106319 Taiwan

A wavelength division (de)multiplexing (WDM) filter with ultra-low channel crosstalk (XT) and high tolerance was proposed for a 1 × 4 O-band coarse-WDM (CWDM) system on a silicon-on-insulator (SOI). The filter consists of four waveguide Bragg grating (WBG) structures, each one having a multi-mode waveguide and corrugations at both waveguide side walls. To relax the critical dimension, low-material-index silicon nitride (SiNx) was utilized instead of silicon. For efficient design of each SiNx multi-mode WBG (MMWBG), the core and corrugation widths were engineered over the perturbed-permittivity coupled-mode theory, leading to an ultra-high side-lobe suppression ratio >25.3 dB. The overall CWDM filter offers flat-top responses with ultra-low excess losses (ELs) -0.45 dB, broad 1-dB bandwidths (BWs) ∼13.45 nm, ultra-low XTs © 2009-2012 IEEE.

关键词： Silicon photonics

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Julolidine functionalized benzimidazoline-doped fullerene derivatives for efficient and stable perovskite solar cells

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Interdisciplinary Materials 2024年第3期3卷 369-379页

作者： Yanqing Zhu Chenglong Li JiaHui Chen Yuxi Zhang Jianfeng Lu Min Hu Wangnan Li Fuzhi Huang Yi-Bing Cheng Hyesung Park Shengqiang Xiao State Key Laboratory of Silicate Materials for Architectures Wuhan University of TechnologyWuhanChina State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of TechnologyWuhanChina School of Electronic and Electrical Engineering Hubei Province Engineering Research Centre for Intelligent Micro-Nano Medical Equipment and Key TechnologiesWuhan Textile UniversityWuhanChina Hubei Key Laboratory of Low Dimensional Optoelectronic Material and Devices Hubei University of Arts and ScienceXiangyangHubeiChina KU-KIST Graduate School of Converging Science and Technology Korea UniversitySeoulRepublic of Korea Department of Integrative Energy Engineering Korea UniversitySeoulRepublic of Korea Hubei Key Laboratory of Fuel Cell WuhanChina

Fullerene derivatives are highly attractive materials in solar cells,organic thermoelectrics,and other ***,the intrinsic low electron mobility and electrical conductivity restrict their potential device performance,such as perovskite solar cells(PSCs).Herein,we successfully enhanced the electric properties and morphology of phenyl-C61-butyric acid methyl ester(PCBM)by n-doping it with a benzimidazoline derivative,9-(1,3-dimethyl-2,3-dihydro-1H-benzoimidazol-2-yl)-julolidine(JLBI-H)via a solution *** found the n-doping can not only improve the conductivity and optimize the band alignment but also enable the PCBM to have a constantly strong charge extraction ability in a wide temperature from 173 to 373 K,which guarantees a stable photovoltaic performance of the corresponding PSCs under a wide range of operating *** the JLBI-H-doped PCBM,we improved the efficiency from 17.9%to 19.8%,along with enhanced stability of the nonencapsulated devices following the aging protocol of ISOS-D-1.

关键词： charge extraction electron mobility n-doping PSCs wide operation temperature

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Reconfigurable Holographic Surface: A New Paradigm for Ultra-Massive MIMO

arXiv

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arXiv 2024年

作者： Di, Boya Zhang, Hongliang Zhang, Rui Han, Zhu Song, Lingyang School of Electronics Peking University China School of Electronic and Computer Engineering Peking University Shenzhen Graduate School China School of Science and Engineering Shenzhen Research Institute of Big Data The Chinese University of Hong Kong Guangdong Shenzhen China Department of Electrical and Computer Engineering National University of Singapore Singapore Electrical and Computer Engineering Department University of Houston United States

Evolving from massive multiple-input multiple-output (MIMO) in current 5G communications, ultra-massive MIMO emerges as a seminal technology for fulfilling more stringent requirements of future 6G communications. However, widely-utilized phased arrays relying on active components make the implementation of ultra-massive MIMO in practice increasingly prohibitive from both cost and power consumption perspectives. In contrast, the development of reconfigurable holographic surface (RHS) provides a new paradigm to solve the above issue without the need of costly hardware components. By leveraging the holographic principle, the RHS serves as an ultra-thin and lightweight surface antenna integrated with the transceiver, which is a promising alternative to phased arrays for realizing ultra-massive MIMO. In this paper, we provide a comprehensive overview of the RHS, especially the RHS-aided communication and sensing. We first describe the basic concepts of RHS, and introduce its working principle and unique practical constraints. Moreover, we show how to utilize the RHS to achieve cost-efficient and high-performance wireless communication and sensing, and introduce the key technologies. In particular, we present the implementation of RHS with a wireless communication prototype, and report the experimental measurement results based on it. Finally, we outline some open challenges and potential future directions in this area. Copyright © 2024, The Authors. All rights reserved.

关键词： Antenna phased arrays

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Real-Time Graph-Based Optimization for GNSS-Doppler Integrated RTK-GNSS/IMU/DR Positioning System in Urban Area

Real-Time Graph-Based Optimization for GNSS-Doppler Integrat...

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IEEE Symposium on Intelligent Vehicle

作者： Aoki Takanose Eijiro Takeuchi Alexander Carballo Junichi Meguro Kazuya Takeda Graduate School of Informatics Nagoya University Japan TierIV Inc. Japan Department of Electrical Electronic and Computer Engineering Gifu University Gifu Japan Department of Mechatronics Engineering Meijo University Japan

Autonomous driving of vehicles and robots requires highly accurate position information, and RTK-GNSS is expected to be utilized for this purpose. In this paper, we propose a robust and real-time operation method by introducing graph optimization into the integrated RTK-GNSS/IMU method. The proposed method is an extension of a method using vehicle trajectories that can estimate positions with lane-level accuracy even in urban areas. The position is estimated by removing GNSS multipaths from the shape of a vehicle trajectory of several hundred meters and averaging the remaining GNSS results. This method does not take into account the errors in the vehicle trajectory and cannot fully benefit from the high accuracy positioning solution of RTK-GNSS. To solve this problem, we introduce graph optimization to the base method, which treats the error state as a probabilistic model. However, general graph optimization methods have problems with processing time and outlier elimination. The proposed method solves these problems by restricting the time series data to be optimized and using a two-step optimization structure. Evaluations show that the proposed method is effective because it satisfies the requirements for real-time operation and improves accuracy compared to conventional methods.

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Assessing Distributed Energy Resource Hosting Capacity Under Different Grid-Tie Inverter Control Strategies

Assessing Distributed Energy Resource Hosting Capacity Under...

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Workshop on Communication Networks and Power Systems (WCNPS)

作者： Brenda L. M. Santos Luciano S. Barros Daniel Barbosa Fernando A. Moreira Graduate Program in Electrical Engineering Federal University of Bahia Salvador Brazil Computer Systems Department Federal University of Paraíba João Pessoa Brazil Department of Electrical and Computer Engineering Federal University of Bahia Salvador Brazil

Despite the potential benefits that the integration of distributed energy resources (DERs) can bring to the system, it may cause problems related to power quality constraints, such $as$ reverse power flow in substation and overvoltages. An effective approach to address these problems involves the adoption of reactive and active power control in grid-tie inverters associated with DER. Therefore, this paper assesses the impacts of grid-tie inverter control modes, including both Volt-Var and Volt-Watt strategies, on the DER hosting capacity. In order to improve the overall system operation, modifications in the Volt-Var and Volt-Watt curves were proposed. It is noteworthy that these control strategies can have adverse effects on certain distribution system performance indicators, such $as$ voltage deviation and power losses; for this reason, these indicators are also evaluated in this study. A stochastic approach was adopted to deal with the uncertainties associated with DERs and loads. Finally, from tests conducted in the IEEE 33-bus test system, it was concluded that the proper adjustment of the Volt-Var and Volt-Watt control curves significantly influences DER hosting capacity, $as$ well $as$ voltage deviation and power losses.

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Hybrid Global Flexible Power Point Tracking Algorithm for Photovoltaic Systems

Hybrid Global Flexible Power Point Tracking Algorithm for Ph...

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European Conference on Power electronics and Applications

作者： Anusha Kumaresan Hossein Dehghani Tafti Glen G. Farivar Josep Pou Kai Strunz Dusit Niyato Energy Research Institute at NTU Interdisciplinary Graduate Programme Nanyang Technological University Singapore Engineering Institute of Technology (EIT) Australia Department of Electrical and Electronic Engineering The University of Melbourne Victoria Australia School of Electrical and Electronic Engineering Nanyang Technological University Singapore Chair for Sustainable Electric Networks and Sources of Energy Technische Universität Berlin Germany School of Computer Science and Engineering Nanyang Technological University Singapore

ISBN: (数字)9798350364446

ISBN: (纸本)9798350364453

Frequency support in grid-connected photovoltaic (PV) systems is achieved by employing flexible power point tracking (FPPT) algorithms. Subsequently, according to the grid frequency requirements, the PV power is curtailed to a power reference, unlike the traditional method of operating the PV at the maximum power point. In practical cases, the PV arrays are prone to partial shading, and hence, there is a requirement to formulate the FPPT algorithms that operates effectively during such cases. Moreover, fast transient response is a necessity, which implies that the algorithms proposed in this paper is desirable. This paper proposes a hybrid global FPPT (GFPPT) algorithm based on secant and Newton’s method, to shift the PV operating point to the required power reference. The Newton’s method offers quadratic convergence rate and the secant method guarantees convergence. Hence, a hybrid algorithm consisting of these two methods will provide both fast and guaranteed convergence. Validation through simulation is presented in this paper and the proposed method is compared with the recently presented perturb and observe (P&O) GFPPT algorithm in the literature.

关键词： Photovoltaic systems Transient response Europe Voltage Hybrid power systems Convergence

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Sample Complexity of Kernel-Based Q-Learning

arXiv

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arXiv 2023年

作者： Yeh, Sing-Yuan Chang, Fu-Chieh Yueh, Chang-Wei Wu, Pei-Yuan Bernacchia, Alberto Vakili, Sattar MediaTek Research Graduate Program of Data Science National Taiwan University Academia Sinica Taiwan Graduate Institute of Communication Engineering National Taiwan University Taiwan Department of Electrical Engineering National Taiwan University Taiwan

Modern reinforcement learning (RL) often faces an enormous state-action space. Existing analytical results are typically for settings with a small number of state-actions, or simple models such as linearly modeled Q-functions. To derive statistically efficient RL policies handling large state-action spaces, with more general Q-functions, some recent works have considered nonlinear function approximation using kernel ridge regression. In this work, we derive sample complexities for kernel based Q-learning when a generative model exists. We propose a nonparametric Q-learning algorithm which finds an ǫ-optimal policy in an arbitrarily large scale discounted MDP. The sample complexity of the proposed algorithm is order optimal with respect to ǫ and the complexity of the kernel (in terms of its information gain). To the best of our knowledge, this is the first result showing a finite sample complexity under such a general model. © 2023, CC BY.

关键词： Reinforcement learning

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Photonic control of ligand nanospacing in self-assembly regulates stem cell fate

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Bioactive Materials 2024年第4期34卷 164-180页

作者： Sungkyu Lee Jounghyun Yoo Gunhyu Bae Ramar Thangam Jeongyun Heo Jung Yeon Park Honghwan Choi Chowon Kim Jusung An Jungryun Kim Kwang Rok Mun Seungyong Shin Kunyu Zhang Pengchao Zhao Yuri Kim Nayeon Kang Seong-Beom Han Dahee Kim Jiwon Yoon Misun Kang Jihwan Kim Letao Yang Solmaz Karamikamkar Jinjoo Kim Yangzhi Zhu Alireza Hassani Najafabadi Guosheng Song Dong-Hwee Kim Ki-Bum Lee Soong Ju Oh Hyun-Do Jung Hyun-Cheol Song Woo Young Jang Liming Bian Zhiqin Chu Juyoung Yoon Jong Seung Kim Yu Shrike Zhang Yongju Kim Ho Seong Jang Sehoon Kim Heemin Kang Department of Materials Science and Engineering Korea UniversitySeoul02841Republic of Korea Chemical and Biological Integrative Research Center Korea Institute of Science and TechnologySeoul02792Republic of Korea KU-KIST Graduate School of Converging Science and Technology Korea UniversitySeoul02841Republic of Korea Department of Chemistry Korea UniversitySeoul02841Republic of Korea Materials Architecturing Research Center Korea Institute of Science and TechnologySeoul02792Republic of Korea School of Biomedical Sciences and Engineering Guangzhou International CampusSouth China University of TechnologyGuangzhou511442China Department of Chemistry and Chemical Biology Rutgers UniversityPiscatawayNJ08854USA Terasaki Institute for Biomedical Innovation Los AngelesCA90064USA State Key Laboratory of Chemo/Biosensing and Chemometrics College of Chemistry and Chemical EngineeringHunan UniversityChangsha410082China Department of Biomedical-Chemical Engineering The Catholic University of KoreaGyeonggi-do14662Republic of Korea Electronic Materials Research Center Korea Institute of Science and TechnologySeoul02792Republic of Korea KIST-SKKU Carbon-Neutral Research Center Sungkyunkwan University(SKKU)Suwon16419Republic of Korea Department of Orthopedic Surgery Korea University Anam HospitalSeoul02841Republic of Korea Department of Electrical and Electronic Engineering and Joint Appointment with School of Biomedical Sciences The University of Hong KongHong Kong518057China Department of Chemistry and Nanoscience Ewha Womans UniversitySeoul03760Republic of Korea Division of Engineering in Medicine Department of MedicineBrigham and Women’s Hospital Harvard Medical SchoolCambridgeMA02139USA Division of Nano&Information Technology KIST SchoolKorea University of Science and Technology(UST)Seoul02792Republic of Korea College of Medicine Korea UniversitySeoul02841Republic of Korea Division of Materials Science and Engineering Hanyang UniversitySeoul04763Republic of Korea

Extracellular matrix(ECM)undergoes dynamic inflation that dynamically changes ligand nanospacing but has not been *** we utilize ECM-mimicking photocontrolled supramolecular ligand-tunable Azo^(+)self-assembly composed of azobenzene derivatives(Azo^(+))stacked via cation-πinteractions and stabilized with RGD ligand-bearing poly(acrylic acid).Near-infrared-upconverted-ultraviolet light induces cis-Azo^(+)-mediated inflation that suppresses cation-πinteractions,thereby inflating liganded *** inflation increases nanospacing of“closely nanospaced”ligands from 1.8 nm to 2.6 nm and the surface area of liganded selfassembly that facilitate stem cell adhesion,mechanosensing,and differentiation both in vitro and in vivo,including the release of loaded molecules by destabilizing water bridges and hydrogen bonds between the Azo^(+)molecules and loaded ***,visible light induces trans-Azo^(+)formation that facilitates cation-πinteractions,thereby deflating self-assembly with“closely nanospaced”ligands that inhibits stem cell adhesion,mechanosensing,and *** stark contrast,when ligand nanospacing increases from 8.7 nm to 12.2 nm via the inflation of self-assembly,the surface area of“distantly nanospaced”ligands increases,thereby suppressing stem cell adhesion,mechanosensing,and ***-term in vivo stability of self-assembly via real-time tracking and upconversion are *** tuning of ligand nanospacing can unravel dynamic ligand-cell interactions for stem cell-regulated tissue regeneration.

关键词： Dynamic self-assembly Ligand nanospacing In vivo tracking Stem cell adhesion Stem cell fate

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Net-Zero Energy House-oriented Linear programming for the Sizing Problem of Photovoltaic Panels and Batteries

arXiv

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arXiv 2024年

作者： Carnerero, A. Daniel Tanaka, Taichi Li, Mengmou Hatanaka, Takeshi Wasa, Yasuaki Hirata, Kenji Ushifusa, Yoshiaki Ida, Takanori Department of Systems and Control Engineering School of Engineering Tokyo Institute of Technology Tokyo152-8550 Japan Graduate School of Advanced Science and Engineering Hiroshima University Higashi-Hiroshima739-0046 Japan Department of Electrical Engineering and Bioscience School of Advanced Science and Engineering Faculty of Science and Engineering Waseda University Tokyo169-8555 Japan Department of Electrical and Electronic Engineering School of Engineering University of Toyama Toyama930-8555 Japan Faculty of Economics and Business Administration The University of Kitakyushu Fukuoka802-8577 Japan Graduate School of Economics Kyoto University Kyoto606-8501 Japan

The global drive towards carbon neutrality has led to a significant increase in the number of power plants based on renewable energy sources (RES). Concurrently, numerous households are adopting RES to generate their own energy, aiming to decrease both electricity costs and carbon footprints. To support these users, many papers have been devoted to developing optimal investment strategies for residential energy systems. However, there is still a significant gap as these studies often neglect important aspects like carbon neutrality. For this reason, in this paper, we explore the concept of net-zero energy houses (ZEHs)—houses designed to have an annual net energy consumption around zero—by presenting a constrained optimization problem to find the optimal number of photovoltaic panels and the optimal size of the battery system for home integration. Solving this constrained optimization problem is difficult due to its nonconvex constraints. Nevertheless, by applying a series of transformations, we reveal that it is possible to find an equivalent linear programming (LP) problem which is computationally tractable. The attainment of ZEH can be tackled by introducing a single constraint in the optimization problem. Additionally, we propose a sharing economy approach to the investment problem, offering a strategy that could potentially reduce investment costs and facilitate the attainment of ZEH more efficiently. Finally, we apply the proposed frameworks to a neighborhood in Japan as a case study, demonstrating the potential for long-term ZEH attainment. The results show that, under the right incentive, users can achieve ZEH, reduce their electricity costs and have a minimal impact on the main grid. Copyright © 2024, The Authors. All rights reserved.

关键词： Linear programming

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Direct Teaching/Playback Method for the Contact Task of a Six-DOF Manipulator Using a Parallel-Wire-Type Teaching Device with a Remote Center Compliance Device

Direct Teaching/Playback Method for the Contact Task of a Si...

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International Conference on Control, Automation and Systems ( ICCAS)

作者： Tatsuya Okochi Masao Sakai Yoshifumi Morita Department of Engineering Electrical and Mechanical Engineering Program Graduate School of Engineering Nagoya Institute of Technology Nagoya Aichi Japan Industrial Research Center Aichi Center for Industry and Science Technology Kariya-shi Aichi Japan Department of Electrical and Mechanical Engineering Nagoya Institute of Technology Nagoya Aichi Japan

This study proposes a direct teaching method for the task of pressing an end effector attached to a robot manipulator against a workpiece with a constant force. When performing contact tasks, such as deburring or polishing using a manipulator, a passive compliance is required for the end effector to suppress excessive contact force and impact. Therefore, we developed an end effector that combines a “parallel wire-type teaching device,” which enables direct teaching, and a compliance device. In the case of pressing a workpiece with a constant force, after teaching the robot's trajectory to trace the edge of the workpiece, the amount of pressing can be calculated from the stiffness of the end effector and the desired pressing force; the robot's trajectory can be edited to teach contact tasks. An experiment was conducted to press a straight trajectory with a constant force as the target value and evaluate the accuracy of force teaching.

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