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Performance Evaluation for Cooperative ADF Relaying V2I Communications with Burst transmission and PSA-CE schemes Over Quasi-Static Rayleigh Fading channels

Performance Evaluation for Cooperative ADF Relaying V2I Comm...

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17th International IEEE Conference on Intelligent Transportation systems & The Asia-Pacific Council on systems engineering Conference 2014

作者： Gilwon Seo Min Baek Chungha Bong Kyunbyoung Ko the ConvergenceInformation Technology Research Center for Next-Generation Intelligent Transport System (C-ITRC for NGITS) the Communication and Signal Processing Lab.(CSPL)the Department of IT ConvergenceKorea National University of Transportation50 Daehak-roChungju-siChungbuk380-702 Korea the Department of Control and Instrumentation Engineering Korea National University of Transportation50 Daehak-roChungju-siChungbuk380-702 Korea

In this paper,we propose the analytical approach for adaptive decode-and-forward(ADF) relaying vehicle-toinfrastructure(V2I) schemes consisting of ND-symbol burst data transmission based on pilot symbol assisted-channel estimation(PSA-CE) methods over quasi-static Rayleigh fading *** first,we focus on the error-event at relaying on board equipments(OBEs) for ND-symbol burst data transmission,whereas previous researches considered one data symbol transmission so that they showed the best performance *** considering ND-symbol burst for ADF relaying schemes,we derive an exact bit error rate(BER) expression which can be the performance of practical ***,the practical channel estimation(CE) process is considered by pilot symbols ***,we investigate the effects of both a CE error and an estimated noise variance,which can be obtained by pilot symbol assisted(PSA)-CE methods,on the received signal-to-noise ratio(SNR) and ***,the average BER is derived in approximated closed-form expression for an arbitrary link *** derived analytical approach is verified based on the number of relaying OBEs,pilots,and data *** accuracy is confirmed by comparison with simulation results.

关键词： SNR Performance Evaluation for Cooperative ADF Relaying V2I Communications with Burst transmission and PSA-CE schemes Over Quasi-Static Rayleigh Fading channels Rayleigh ADF

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ESICM LIVES 2016: part one Milan, Italy. 1-5 October 2016 Abstracts

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INTENSIVE CARE MEDICINE EXPERIMENTAL 2016年第SUPPL 1期4卷 1-1页

作者： [Anonymous] Academic Medical Center University of Amsterdam Amsterdam Netherlands UMCU Utrecht Netherlands Autonomous University of Barcelona Barcelona Spain Hospital São Francisco Xavier Lisbon Portugal CHU Henri Mondor Medical ICU Créteil France Université de Paris Est-Créteil Groupe de Recherche Clinique CARMAS Créteil France Hôpital Tenon APHP Medical and Surgical ICU Paris France Université Paris Diderot Sorbonne Paris Cité UMR 1153 Paris France Interdepartmental Division of Critical Care University of Toronto Toronto Canada University Health Network University of Toronto Critical Care Medicine Toronto Canada University of Milan - Bicocca Health Sciences School of Medicine and Surgery Monza Italy St Michael’s Hospital University of Toronto Anesthesia Toronto Canada CHU d’Angers Medical ICU Angers France Interdepartmental Division of Critical Care University of Toronto Saint Michael’s Hospital and Keenan Research Centre Toronto Canada University of Birmingham Institute for Inflammation and Ageing Birmingham UK University of Sheffield Mathematics and Statistics Help Centre Sheffield UK Heart of England NHS Foundation Trust Intensive Care Medicine Birmingham UK Department of Surgery University Hospitals Birmingham NHS Trust Birmingham UK University Hospitals Birmingham NHS Trust Anaesthesia and Critical Care Medicine Birmingham UK Queen’s University of Belfast Wellcome-Wolfson Institute for Experimental Medicine Belfast UK Royal Victoria Hospital Intensive Care Medicine Belfast UK University of Warwick Warwick Clinical Trials Unit Coventry UK University of Bari ‘Aldo Moro’ Bari Italy Hospital Israelita Albert Einstein São Paulo Brazil Mayo Clinic Jacksonville USA Mahidol University Faculty of Tropical Medicine Bangkok Thailand University Medical Center Utrecht Intensive Care Utrecht Netherlands University Medical Center Utrecht Julius Center for Health Sciences and Primary Care Utrecht Netherlands Academic Medical Center University of Amste

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Constraining the water vapor uptake coefficient in ambient cloud droplet formation

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AIP Conference Proceedings 2013年第1期1527卷 812-816页

作者： T. Raatikainen A. Nenes J. H. Seinfeld R. Morales R. H. Moore T. L. Lathem S. Lance L. T. Padro J. J. Lin K. M. Cerully A. Bougiatioti J. Cozic C. Ruehl P. Y. Chuang B. E. Anderson R. C. Flagan H. Jonsson N. Mihalopoulos J. N. Smith Earth & Atmospheric Sciences Georgia Institute of Technology Atlanta GA 30332 and Finnish Meteorological Institute FI-00101 Helsinki Finland Earth & Atmospheric Sciences Georgia Institute of Technology Atlanta GA 30332 and Chemical & Biomolecular Engineering Georgia Institute of Technology Atlanta GA 30332 and Institute of Chemical Engineering and High Temperature Chemical Processes Greece Chemical Engineering California Institute of Technology Pasadenda CA 91106 and Environmental Science & Engineering California Institute of Technology Pasadenda CA 91106 USA Earth & Atmospheric Sciences Georgia Institute of Technology Atlanta GA 30332 USA Chemical & Biomolecular Engineering Georgia Institute of Technology Atlanta GA 30332 and NASA Langley Research Center Hampton VA 23681 USA Earth & Atmospheric Sciences Georgia Institute of Technology Atlanta GA 30332 and Phillips 66 Research Center Bartlesville OK 74003 USA Earth & Atmospheric Sciences Georgia Institute of Technology Atlanta GA 30332 and Atmospheric Chemistry Division National Center for Atmospheric Research Boulder CO 80305 and SPEC Inc. Boulder CO 8030 USA Chemical & Biomolecular Engineering Georgia Institute of Technology Atlanta GA 30332 and Civil & Environmental Engineering Tufts University Medford MA 02155 USA Chemical & Biomolecular Engineering Georgia Institute of Technology Atlanta GA 30332 USA Department of Chemistry University of Crete 71003 Heraklion Greece and Earth & Atmospheric Sciences Georgia Institute of Technology Atlanta GA 30332 USA Chemical Sciences Division Earth System Research Laboratory National Oceanic and Atmospheric Administration Boulder CO 80305 and Laboratoire de Glaciologie et Geophysique de l'Environnement F-38402 Grenoble France Lawrence Berkeley National Lab Berkeley CA 94720 USA Earth & Planetary Sciences University of California Santa Cruz CA USA NASA Langley Research Center Hampton VA 23681 USA Naval Postgraduate School Monterey CA 93943 USA D

Cloud droplet formation depends on the condensation of water vapor on ambient aerosols, the rate of which is strongly affected by the condensation (or mass accommodation) coefficient, αc. Estimates of αc for droplet growth from activation of ambient particles vary considerably and represent a critical source of uncertainty in estimates of global cloud droplet distributions and the aerosol indirect forcing of climate. An analysis of ten globally relevant data sets of cloud condensation nuclei is used to constrain αc, and find that rapid activation kinetics (αc > 0.1) is uniformly prevalent. This means that uncertainty in water vapor accommodation on droplets is less than previously thought and resolves a long-standing issue in cloud physics.

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Post-processing algorithm based on total differential method for multi-axis machine tools with arbitrary configuration

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Jixie Gongcheng Xuebao/Journal of Mechanical engineering 2012年第13期48卷 121-126页

作者： Peng, Fangyu Ma, Jiyang Wang, Li Yan, Rong Li, Bin State Key Lab. of Digital Manufacturing Equipment and Technology Huazhong University of Science and Technology Wuhan 430074 China National Numerical Control System Engineering Research Center Huazhong University of Science and Technology Wuhan 430074 China

Due to existing post-processing algorithm, which is only suitable for a specific type of multi-axis NC machine tool, a generalized method that fits arbitrary configuration is presented. It derives a general kinematic model from multi-body kinematics, and describes the spatial relationship between adjacent CL-data as total differential. The complicated reverse kinematics problem is transformed into solving linear equations. The initial machine control data is solved with the combination of numerical method and total differential method to ensure solving accuracy of subsequent CL-data. In comparison with conventional methods, experiments on a specific machine tool show that the total differential method has attributes of being better generalized, more accurate, and with faster computing speed. © 2012 Journal of Mechanical engineering.

关键词： Machine tools

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Performances and characteristics of DIGRank, ranking in the incomplete networks

Performances and characteristics of DIGRank, ranking in the ...

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11th IEEE International Conference on data Mining, ICDM 2011

作者： Niu, Xiang Li, Lusong Tkach, Daniel Xiong, Xiaobing Li, He Xu, Ke State Key Lab. of Software Development Environment Beihang University Beijing China University of Science and Technology Beijing Beijing China National Digital Switching System Engineering and Technological Research Center Beijing China

ISBN: (纸本)9780769544083

PageRank has been widely used in ranking retrieval results on the web, finding the top influential papers in citation networks or detecting valuable users in online social networks. However, in practice, it is usually hard to obtain a complete structure of any above networks to rank nodes. Thus, some researchers have begun to explore how to get estimated ranks efficiently without acquiring the whole network. They have proposed some approximating methods, however, it is difficult to determine which method is the best one or which is suitable to a certain application. In this case, we set experiments in small-world and scale-free generated networks to certify the feasibility and characteristics of four approximating methods. We also use eleven real networks to mention different optimal conditions for these methods. We find the DIGRank method performs better than other local estimation methods in almost every given subgraph. Besides, Mean field approach method tends to perform well in networks that have low average shortest path length, small amount of nodes with the same low indegree, or weak community structure. Finally, we apply the most versatile method DIGRank to Sina micro-blog website to precisely classify users in a group as elites, grassroots or mummy users. © 2011 IEEE.

关键词： Social networking (online)

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120 Hz low cross-talk stereoscopic display with intelligent LED backlight enabled by multi-dimensional controlling IC

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Displays 2009年第4-5期30卷 148-154页

作者： Liou, Jian-Chiun Tseng, Fan-Gang Nano Engineering and Micro Systems Inst. National Tsing Hua University Taiwan Engineering and System Science Dept. National Tsing Hua University Taiwan Electronics and Optoelectronics Research Lab. Industrial Technology Research Institute Taiwan Division of Mechanics Research Center for Applied Sciences Academia Sinica Taiwan

This paper proposes to employ multi-dimensional controller for driving LED backlight scanning in a 120 Hz LCD for overcoming the hold-type characteristic of an LCD in time-multiplexed stereoscopic displays. A synchronization signal circuit is developed to connect the time scheme of the vertical synchronization for reducing scanning time. The general strategy is to integrate 3D controller and all relatively small-signal electronic functions into one ASIC to minimize the total number of the components. The display panel, LED backlight scanning, and shutter glass signals could be adjusted by vertical synchronization and modulation to obtain stereoscopic images. Each row of LED in a backlight module is controlled by multi-dimensional data registration and synchronization control circuits for LED backlight scanning to flash in bright or dark. LED backlight scanning stereoscopic display incorporated with shutter glasses is provided to realize stereoscopic images even viewed in a liquid crystal display. The eye shutter signal is alternately switched from the left eye to the right eye with 120 Hz of LCD Vertical synchronization (V-sync). This kind of low cross-talk shutter glasses stereoscopic display with an intelligent multiplexing control of LED backlight scanning has low cross-talk below 1% through a liquid crystal shutter glasses. Crown Copyright © 2009.

关键词： Scanning

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Abstracts

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Environmental Management 1977年第1期1卷 67-96页

作者： Frankenfeld, John W. Schulz, Wolfgang McMurty, George J. Petersen, Gary W. May, G. A. Hering, F. S. Schwartz, J. I. Heywood, J. B. Chigier, N. A. Grohse, E. W. Walker, J. D. Colwell, R. R. Petrakis, L. Pergament, H. S. Thorpe, R. D. Schoepf, Richard W. Krzyczkowski, Roman Henneman, Suzanne S. Hudson, Charles L. Putnam, Evelyn S. Thiesen, Donna J. Parks, G. A. McCarty, Perry L. Leckie, J. O. Schrumpf, Barry J. Simonson, G. H. Paine, D. P. Lawrence, R. D. Pyott, W. T. Leh, M. Elders, W. Combs, J. Caplen, T. Harrison, F. L. Wong, K. M. Heft., R. E. Charnell, Robert L. Lehmann, Edward J. Mallon, Lawrence G. Hatfield, Cecile Adams, Gerald H. Johanning, James Talvitie, Antti Noll, Kenneth E. Miller, Terry Smiarowski, Joseph F. Willis, Cleve E. Foster, John H. Schlesinger, Benjamin Daetz, Douglas Lear, Donald U. Smith, Mona F. Hundemann, Audrey S. Crockett, Pernell W. Werner, Kirk G. Carroll, Thomas E. Maase, David L. Genco, Joseph E. Ifeadi, Christopher N. Lowman, F. G. Christensen, S. W. Van Winkle, W. Mattice, J. S. Harrison, Elizabeth A. Barker, James C. Chesness, Jerry L. Smith, Ralph E. Shaheeen, Donald G. Raney, R. Keith Borton, T. Wezernak, C. T. Raney, R. K. Sherwani, Jabbor K. Moreau, David H. Eisenberg, Norman A. Lynch, Cornelius J. Breeding, Roger J. Johnson, J. D. Foster, K. E. Mouat, D. A. Clark, R. Hyden, John William Owen, Wilfred Bayfield, Neil G. Barrow, Graham C. Stolz, Stephanie B. Wienckowski, Louis A. Brown, Betram S. Keyfitz, Nathan Wilson, W. L. Newman, Peter W. G. Bammi, Deepak Bammi, Dalip Goddard, James E. Chisholm, Tony Walsh, Cliff Brennan, Geoffrey Thompson, K. S. Richardson, R. Jensen, Clayton E. Brown, Dail W. Mirabito, John A. Cowing, Thomas G. Binghamton, Suny Siehl, George H. Albrecht, O. W. Alexander, Ariel Barde, Jean -Philippe Darby, William P. McMichael, Francis Clay Dunlap, Robert W. Muckleston, Keith W. Frankenhoff, Charles A. Giulini, Lorenzo T. Wyatt, T. Black, Peter E. Keating, William Thomas Leonard, M. E. Fisher, E. L. Brunelle, M. F. Dickinson, J. E. Pethig, Rudiger Clapham Exxon Research & Engineering Co. Linden Government Research Lab Coast Guard Washington D.C. Department of Transportation Washington D.C. Office For Remote Sensing of Earth Resources. NASA Earth Resources Survey Program Pennsylvania State University Washington D.C. Department of the Navy Washington D.C. Cambridge. Dept. of Mechanical Engineering Massachusetts Inst. of Technology USA Huntsville. School of Graduate Studies and Research Alabama Univ. USA Dept. of Microbiology. Office of Naval Research Maryland Univ. Arlington Research and Development Co. Pittsburgh AeroChem Research Labs. Inc. Princeton Dept. of the Interior Office of Library Services. Bibliographic Series (Final) Washington D.C. Interplan Corp. Santa Barbara Urban Mass Transportation Adm. Washington D.C. Naval Underwater Systems Center Newport Calif. Mercury Project. National Science Found Stanford Univ Washington D.C. Div. of Advanced Environmental Research & Tech. USA Corvallis. NASA Earth Resources Survey Program Oregon State Univ. Washington D.C. Riverside. Inst. of Geophysics and Planetary Physics National Science Foundation California Univ. Washington D.C. Livermore Lawrence Livermore Lab. California Univ. USA Atlantic Oceanographic and Meteorological Labs. National Oceanic and Atmospheric Administration Miami National Technical Information Service Springfield Miami Univ. Coral Gables School of Law National Oceanic and Atmospheric Administration Rockville National Academy of Sciences Office of Sea Grant Washington D. C. School of Law National Oceanic and Atmospheric Administration Office of Sea Grant. Rockville Norman. Dept. of Civil Engineering and Environmental Science. Urban Mass Transportation Administration Oklahoma Univ. Washington D. C. Knoxville.Dept. of Civil Engineering. Federal Highway Administration Tennessee Univ. Washington D. C. Amherst.Water Resources Research Center. Office of Water Research and Technology Massachusetts Univ. Washington D. C. Calif. Dept. of Industria

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Multi-view Intent Learning and Alignment with Large Langue Models for Session-based Recommendation

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ACM Transactions on Information systems 1000年

作者： Shutong Qiao Wei Zhou Junhao Wen Chen Gao Qun Luo Peixuan Chen Yong Li School of Big Data & Software Chongqing University China School of Big Data & Software Chongqing University China Beijing National Research Center for Information Science and Technology Tsinghua University China Tencent China Department of Electronic Engineering Beijing National Research Center for Information Science and Technology Tsinghua University China

Session-based recommendation (SBR) methods often rely on user behavior data, which can struggle with the sparsity of session data, limiting performance. researchers have identified that beyond behavioral signals, rich semantic information in item descriptions is crucial for capturing hidden user intent. While large language models (LLMs) offer new ways to leverage this semantic data, the challenges of session anonymity, short-sequence nature, and high LLM training costs have hindered the development of a lightweight, efficient LLM framework for *** address the above challenges, we propose an LLM-enhanced SBR framework that integrates semantic and behavioral signals from multiple views. This two-stage framework leverages the strengths of both LLMs and traditional SBR models while minimizing training costs. In the first stage, we use multi-view prompts to infer latent user intentions at the session semantic level, supported by an intent localization module to alleviate LLM hallucinations. In the second stage, we align and unify these semantic inferences with behavioral representations, effectively merging insights from both large and small models. Extensive experiments on two real datasets demonstrate that the LLM4SBR framework can effectively improve model performance. We release our codes along with the baselines at https://***/tsinghua-fib-lab/LLM4SBR.

关键词： Recommender system Session-based Recommendation Large Language Models data Augmentation

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Correlation-aware Cross-modal Attention Network for Fashion Compatibility Modeling in UGC systems

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ACM Transactions on Multimedia Computing, Communications, and Applications 1000年

作者： Kai Cui Shenghao Liu Wei Feng Xianjun Deng Liangbin Gao Minmin Cheng Hongwei Lu Laurence T. Yang Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering Huazhong University of Science and Technology China China Nuclear Power Operation Technology Corporation Ltd. China

Empowered by the continuous integration of social multimedia and artificial intelligence, the application scenarios of information retrieval (IR) progressively tend to be diversified and personalized. Currently, User-Generated Content (UGC) systems have great potential to handle the interactions between large-scale users and massive media contents. As an emerging multimedia IR, Fashion Compatibility Modeling (FCM) aims to predict the matching degree of each given outfit and provide complementary item recommendation for user queries. Although existing studies attempt to explore the FCM task from a multimodal perspective with promising progress, they still fail to fully leverage the interactions between multimodal information or ignore the item-item contextual connectivities of intra-outfit. In this paper, a novel fashion compatibility modeling scheme is proposed based on Correlation-aware Cross-modal Attention Network. To better tackle these issues, our work mainly focuses on enhancing comprehensive multimodal representations of fashion items by integrating the cross-modal collaborative contents and uncovering the contextual correlations. Since the multimodal information of fashion items can deliver various semantic clues from multiple aspects, a modality-driven collaborative learning module is presented to explicitly model the interactions of modal consistency and complementarity via a co-attention mechanism. Considering the rich connections among numerous items in each outfit as contextual cues, a correlation-aware information aggregation module is further designed to adaptively capture significant intra-correlations of item-item for characterizing the content-aware outfit representations. Experiments conducted on two real-world fashion datasets demonstrate the superiority of our approach over state-of-the-art methods.

关键词： User-Generated Contents fashion intelligent analysis complementary compatibility modeling multimodal representation learning correlation-aware integration strategy

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AMSPM: Adaptive Model Selection and Partition Mechanism for Edge Intelligence-driven 5G Smart City with Dynamic Computing Resources

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ACM Transactions on Sensor Networks 1000年

作者： Xin Niu Xuejiao Cao Chen Yu Hai Jin National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

With the help of 5G network, edge intelligence (EI) can not only provide distributed, low-latency, and high-reliable intelligent services, but also enable intelligent maintenance and management of smart city. However, the constantly changing available computing resources of end devices and edge servers cannot continuously guarantee the performance of intelligent inference. In order to guarantee the sustainability of intelligent services in smart city, we propose the Adaptive Model Selection and Partition Mechanism (AMSPM) in 5G smart city where EI provides services, which mainly consists of Adaptive Model Selection (AMS) and Adaptive Model Partition (AMP). In AMSPM, the model selection and partition of deep neural network (DNN) are formulated as an optimization problem. Firstly, we propose a recursive-based algorithm named AMS based on the computing resources of edge devices to derive an appropriate DNN model that satisfies the latency demand of intelligent services. Then, we adaptively partition the selected DNN model according to the computing resources of edge devices. The experimental results demonstrate that, when compared with state-of-the-art model selection and partition mechanisms, AMSPM not only reduces latency but also enhances computing resource utilization.

关键词： Edge intelligence changing available computing resources adaptive model selection and partition smart city sustainable intelligent services

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