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Next Research 2025年第2期2卷

作者： Jihui Yuan Da Yan Xiong Xiao Yasuhiro Shimazaki Yupeng Wang Zhichao Jiao Zhengsong Lin Marko Bizjak Craig Farnham Kazuo Emura Department of Living Environment Design Grad. School of Human Life and Ecology Osaka Metropolitan University Osaka Japan Department of Architecture and Civil Eng. Grad. School of Eng. Toyohashi University of Technology Aichi Japan Building Energy Research Center School of Architecture Tsinghua University Beijing China School of Human Settlements and Civil Engineering Xi'an Jiaotong University No.28 Xianning West Road Xi'an Shaanxi Province China College of Art & Design Nanjing Forestry University Nanjing 210037 China Faculty of Electrical Engineering and Computer Science University of Maribor Koroška cesta 46 SI 2000 Maribor Slovenia

This study aims to delineate the origin, purpose, process, and results of the research, focusing on investigating the impact of different exterior wall materials on outdoor thermal indicators in Nagoya, Japan. The ultimate goal is to mitigate the Urban Heat Island (UHI) effect and improve urban outdoor thermal comfort. Computational Fluid Dynamics (CFD) is employed to evaluate two types of exterior wall materials: diffuse highly reflective (DHR) and retro-reflective (RR) materials. The research process involves assessing various outdoor thermal indices, such as wet-bulb globe temperature (WBGT), standard effective temperature (SET*), and universal thermal climate index (UTCI), in order to comprehend the thermal performance of each material. The results of the study indicate that the RR material consistently outperforms the DHR material in terms of outdoor thermal comfort, despite having slightly lower solar reflectance. This is supported by lower surface temperatures and surface heat flow associated with the RR material, suggesting reduced indoor cooling loads and significant energy savings for cooling purposes. These findings highlight the potential of RR material in mitigating the UHI effect and enhancing urban outdoor thermal conditions. By establishing a critical relationship between exterior wall materials and outdoor thermal indicators, this study proposes the adoption of RR materials for urban building exteriors as a sustainable and economically viable solution to improve urban outdoor thermal comfort and enhance the quality of life for residents.

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Eliminating NB-IoT interference to LTE system: A sparse machine learning based approach

arXiv

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arXiv 2020年

作者： Liu, Sicong Xiao, Liang Han, Zhu Tang, Yuliang Department of Communication Engineering Key Laboratory of Digital Fujian on IoT Communication Architecture and Security Technology Xiamen University Xiamen361005 China University of Houston HoustonTX77004 United States Department of Computer Science and Engineering Kyung Hee University Seoul446-701 Korea Republic of

—Narrowband internet-of-things (NB-IoT) is a competitive 5G technology for massive machine-type communication scenarios, but meanwhile introduces narrowband interference (NBI) to existing broadband transmission such as the long term evolution (LTE) systems in enhanced mobile broadband (eMBB) scenarios. In order to facilitate the harmonic and fair coexistence in wireless heterogeneous networks, it is important to eliminate NB-IoT interference to LTE systems. In this paper, a novel sparse machine learning based framework and a sparse combinatorial optimization problem is formulated for accurate NBI recovery, which can be efficiently solved using the proposed iterative sparse learning algorithm called sparse cross-entropy minimization (SCEM). To further improve the recovery accuracy and convergence rate, regularization is introduced to the loss function in the enhanced algorithm called regularized SCEM. Moreover, exploiting the spatial correlation of NBI, the framework is extended to multiple-input multiple-output systems. Simulation results demonstrate that the proposed methods are effective in eliminating NB-IoT interference to LTE systems, and significantly outperform the state-of-the-art methods. Copyright © 2020, The Authors. All rights reserved.

关键词： Internet of things

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A novel FPGA-based high throughput accelerator for binary search trees

arXiv

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arXiv 2019年

作者： Melikoglu, Oyku Ergin, Oguz Salami, Behzad Pavon, Julian Unsal, Osman Cristal, Adrian Department of Computer Engineering TOBB University of Economics and Technology Ankara Turkey Computer Architecture for Parallel Paradigms Group Barcelona Supercomputing Center Barcelona Spain

This paper presents a deeply pipelined and massively parallel Binary Search Tree (BST) accelerator for Field Programmable Gate Arrays (FPGAs). Our design relies on the extremely parallel on-chip memory, or Block RAMs (BRAMs) architecture of FPGAs. To achieve significant throughput for the search operation on BST, we present several novel mechanisms including tree duplication as well as horizontal, duplicated, and hybrid (horizontal-vertical) tree partitioning. Also, we present efficient techniques to decrease the stalling rates that can occur during the parallel tree search. By combining these techniques and implementations on Xilinx Virtex-7 VC709 platform, we achieve up to 8X throughput improvement gain in comparison to the baseline implementation, i.e., a fully-pipelined FPGA-based accelerator. Copyright © 2019, The Authors. All rights reserved.

关键词： Field programmable gate arrays (FPGA)

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A Novel FPGA-Based High Throughput Accelerator For Binary Search Trees

A Novel FPGA-Based High Throughput Accelerator For Binary Se...

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International Conference on High Performance Computing & Simulation (HPCS)

作者： Oyku Melikoglu Oguz Ergin Behzad Salami Julian Pavon Osman Unsal Adrian Cristal Department of Computer Engineering TOBB University of Economics and Technology Ankara Turkey Computer Architecture for Parallel Paradigms Group Barcelona Supercomputing Center Barcelona Spain

ISBN: (数字)9781728144849

ISBN: (纸本)9781728144856

关键词： Registers Throughput Field programmable gate arrays Vegetation Pipeline processing Binary search trees Random access memory

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MV-Sketch: A Fast and Compact Invertible Sketch for Heavy Flow Detection in Network Data Streams

MV-Sketch: A Fast and Compact Invertible Sketch for Heavy Fl...

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IEEE Conference on computer Communications

作者： Lu Tang Qun Huang Patrick P. C. Lee Department of Computer Science and Engineering The Chinese University of Hong Kong State Key Lab of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences

ISBN: (纸本)9781728105161

Fast detection of heavy flows (e.g., heavy hitters and heavy changers) in massive network traffic is challenging due to the stringent requirements of fast packet processing and limited resource availability. Invertible sketches are summary data structures that can recover heavy flows with small memory footprints and bounded errors, yet existing invertible sketches incur high memory access overhead that leads to performance degradation. We present MV-Sketch, a fast and compact invertible sketch that supports heavy flow detection with small and static memory allocation. MV-Sketch tracks candidate heavy flows inside the sketch data structure via the idea of majority voting, such that it incurs small memory access overhead in both update and query operations, while achieving high detection accuracy. We present theoretical analysis on the memory usage, performance, and accuracy of MV-Sketch. Trace-driven evaluation shows that MVSketch achieves higher accuracy than existing invertible sketches, with up to 3.38× throughput gain. We also show how to boost the performance of MV-Sketch with SIMD instructions.

关键词： Sketches Reversibility Heavy Packet Processing traffic network degradation of performance Fasting

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A Markov Traffic Model for Signalized Traffic Networks Based on Bayesian Estimation

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IFAC-PapersOnLine 2020年第2期53卷 15029-15034页

作者： S.Y. Liu S. Lin Y.B. Wang B. De Schutter W.H.K. Lam School of Computer Science and Technology University of Chinese Academy of Sciences Beijing 100089 China Key Lab of Big Data Mining and Knowledge Management Chinese Academy of Sciences College of Civil Engineering and Architecture Zhejiang University PR China Delft Center for Systems and Control Delft University of Technology The Netherlands Department of Civil and Structural Engineering The Hong Kong Polytechnic University Hong Kong SAR China

In order to better understand the stochastic dynamic features of signalized traffic networks, we propose a Markov traffic model to simulate the dynamics of traffic link flow density for signalized urban traffic networks with demand uncertainty. In this model, we have four different state modes for the link according to different congestion levels of the link. Each link can only be in one of the four link state modes at any time, and the transition probability from one state to the other state is estimated by Bayesian estimation based on the distributions of the dynamic traffic flow densities, and the posterior probabilities. Therefore, we use a first-order Markov Chain Model to describe the dynamics of the traffic flow evolution process. We illustrate our approach for a small traffic network. Compared with the data from the microscopic traffic simulator SUMO, the proposed model can estimate the link traffic densities accurately and can give a reliable estimation of the uncertainties in the dynamic process of signalized traffic networks.

关键词： Markov traffic model Traffic signals Bayesian Urban traffic network

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An ARQ-Based Cooperative Relaying Scheme for 5G IoT Slice

An ARQ-Based Cooperative Relaying Scheme for 5G IoT Slice

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2019 IEEE Global Conference on Internet of Things, GCIoT 2019

作者： Otaru, Musa Ajiya, Mohammed Adinoyi, Abdulkareem Aljlayl, Mohammed Yanikomeroglu, Halim Telecommunications Services Nigerian Communications Satellite Ltd Abuja Nigeria Bayero University Department of Electrical Engineering Kano Nigeria Technology Enterprise Architecture Saudi Telecommunications Company Saudi Arabia Carleton University Dept. of Systems and Computer Engineering Ottawa Canada

ISBN: (纸本)9781728148731

We introduce a new twist to the classical automatic repeat request (ARQ)-based cooperative relaying scheme. Here, we target a 5G slice for offering internet-of-things (IoT)-inspired services. In this 5G application segment (e.g., utility or smart metering), utility sensors or devices are expected to last for decades and, operate on tight power budgets, and the system can tolerate periodic stops to check the fidelity of previous transmissions. For this scenario, we employ a service provider-deployed relay that alleviates the IoT devices of their communication burdens. The source transmits for a certain time window or period without requiring acknowledgments (ACK) from the destination. At the end of this window, the destination sends an ACK. If negative, the relay is expected to assist. Thus, the relay transmits only intermittently, in either one transmission time slot or a few time slots, using a suitably chosen higherorder modulation constellation. If no error occurs, the source continues its transmission. The numerical results show that with just a few antennas at the relay, the new scheme provides both a reduction in the number of ARQ transmissions and a superior probability of bit error compared with a reference scheme. We adopt the two-parameter Weibull fading model to evaluate the performance of the proposed scheme. © 2019 IEEE.

关键词： Internet of things

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Register-based implementation of the sparse general matrix-matrix multiplication on GPUs

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ACM SIGPLAN Notices 2018年第1期53卷 407-408页

作者： Liu, Junhong He, Xin Liu, Weifeng Tan, Guangming State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences China University of Chinese Academy of Sciences China Department of Computer Science Norwegian University of Science and Technology Norway

General sparse matrix-matrix multiplication (SpGEMM) is an essential building block in a number of applications. In our work, we fully utilize GPU registers and shared memory to implement an efficient and load balance... 详细信息

ISBN: (纸本)9781450349116

关键词： Matrix algebra

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Author Correction: Aerial additive manufacturing with multiple autonomous robots

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Nature 2024年第7998期626卷 E5页

作者： Ketao Zhang Pisak Chermprayong Feng Xiao Dimos Tzoumanikas Barrie Dams Sebastian Kay Basaran Bahadir Kocer Alec Burns Lachlan Orr Talib Alhinai Christopher Choi Durgesh Dattatray Darekar Wenbin Li Steven Hirschmann Valentina Soana Shamsiah Awang Ngah Clément Grillot Sina Sareh Ashutosh Choubey Laura Margheri Vijay M Pawar Richard J Ball Chris Williams Paul Shepherd Stefan Leutenegger Robert Stuart-Smith Mirko Kovac Department of Aeronautics Imperial College London London UK. School of Engineering and Materials Science Queen Mary University of London London UK. Department of Computing Imperial College London London UK. Department of Architecture and Civil Engineering University of Bath Bath UK. Department of Computer Science University College London London UK. Materials and Technology Centre of Robotics Swiss Federal Laboratories for Materials Science and Technology (Empa) Dübendorf Switzerland. Department of Informatics Technical University of Munich Garching Germany. Stuart Weitzman School of Design University of Pennsylvania Philadelphia PA USA. Department of Aeronautics Imperial College London London UK. m.kovac@imperial.ac.uk. Materials and Technology Centre of Robotics Swiss Federal Laboratories for Materials Science and Technology (Empa) Dübendorf Switzerland. m.kovac@imperial.ac.uk.

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White Rabbit: A Deterministic Time Transfer and Frequency Dissemination technology for Distrihuted Systems 2

White Rabbit: A Deterministic Time Transfer and Frequency Di...

引用

2nd URSI Atlantic Radio Science Meeting, AT-RASC 2018

作者： Diaz, J. Ros, E. Rodriguez-Gomez, R. University of Granada Computer Architecture and Technology Department Spain Seven Solutions S.L. Spain

ISBN: (纸本)9789082598735

Latest developments on the field of radio-communications and astrophysics rely on the development of distributed systems as a way to better sensing and optimize the utilization of the electromagnetic spectrum. From modern radio-telescopes like the Square Kilometer Array (SKA) or the Cherenkov Telescope Array (CTA), to distributed radars and communication systems, all of them require a common and highly stable frequency reference in all the antennas. This is needed to guarantee that the radio signal is sampled or emitted in a coherent way despite the location. Furthermore, all of them need a proper Pulse-Per-Second (PPS) signal. This signal is used as synchronization mechanism, key for signal timestamping as well as a mechanism to control the phase of the signal distributed at each antenna of the system. This allows the distributed instrumentation (arrays of antennas) to work as a single system, with a global time and frequency reference. © 2018 International Union of Radio Science URSI.

关键词： Antennas

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