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All-Optical Initialization, Readout, and Coherent Preparation of Single Silicon-Vacancy Spins in Diamond

Physical Review Letters 2014年第26期113卷 263602-263602页

作者： Lachlan J. Rogers Kay D. Jahnke Mathias H. Metsch Alp Sipahigil Jan M. Binder Tokuyuki Teraji Hitoshi Sumiya Junichi Isoya Mikhail D. Lukin Philip Hemmer Fedor Jelezko Institute for Quantum Optics and Center for Integrated Quantum Science and Technology (IQst) Ulm University Ulm D-89081 Germany Department of Physics Harvard University 17 Oxford Street Cambridge Massachusetts 02138 USA National Institute for Materials Science 1-1 Namiki Tsukuba Ibaraki 305-0044 Japan Advanced Materials R & D Laboratories Sumitomo Electric Industries Limited Itami Hyogo 664-0016 Japan Research Center for Knowledge Communities University of Tsukuba 1-2 Kasuga Tsukuba Ibaraki 305-8550 Japan Electrical & Computer Engineering Department Texas A&M University College Station Texas 77843 USA

The silicon-vacancy (SiV−) color center in diamond has attracted attention because of its unique optical properties. It exhibits spectral stability and indistinguishability that facilitate efficient generation of photons capable of demonstrating quantum interference. Here we show optical initialization and readout of electronic spin in a single SiV− center with a spin relaxation time of T1=2.4±0.2 ms. Coherent population trapping (CPT) is used to demonstrate coherent preparation of dark superposition states with a spin coherence time of T2⋆=35±3 ns. This is fundamentally limited by orbital relaxation, and an understanding of this process opens the way to extend coherence by engineering interactions with phonons. Hyperfine structure is observed in CPT measurements with the Si29 isotope which allows access to nuclear spin. These results establish the SiV− center as a solid-state spin-photon interface.

关键词： SILICON -- Optical properties ELECTRON spin states PHOTONIC crystals DIAMONDS PHONONS FINE structure (Physics)

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Approximate Dynamic Programming Based Controller Design Using an Improved Learning Algorithm with Application to Tracking Control of Aircraft

Approximate Dynamic Programming Based Controller Design Usin...

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2013年中国智能自动化学术会议

作者： Xiong Luo Yuchao Zhou Zengqi Sun School of Computer and Communication Engineering University of Science and Technology Beijing(USTB) Beijing Key Laboratory of Knowledge Engineering for Materials Science Key Laboratory of Knowledge Engineering for Materials Science Department of Computer Science and Technology Tsinghua University

The strategy using approximate/adaptive dynamic programming(ADP) has been widely used to design a learning controller for complex systems of higher dimension in recent *** paper aims at handling an important problem in the design of ADP learning controllers,which is the improvement of learning algorithm for its convergence *** analyze ADP controller implementation framework according to the requirement of tracking control task,with emphasis on providing an improved weight-updating gradient descent approach in optimizing connection weights in network structures.A comparison of the proposed method and classic ADP design for tracking and controlling pitch angle of aircraft is *** verifies the feasibility in the design of the proposed ADP based controller.

关键词： Approximate dynamic programming Controller Learning algorithm Aircraft control

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Dynamics of knowledge assets and change management perspectives

Dynamics of knowledge assets and change management perspecti...

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IEEE International Conference on Electro-Information Technology

作者： Sara Nasiri Fazel Ansari Madjid Fathi Institute of Knowledge Based Systems & Knowledge Management Department of Electrical Engineering & Computer Science University of Siegen Siegen Germany

Change Management (CM) is the major challenge of the strategic management particularly due to dynamics of knowledge assets (i.e. Temporal knowledge transformation) and also inadequate or insufficient use of knowledge, competencies and human creativities. In this context, CM needs to utilize knowledge Management (KM) to guarantee successful implementation of the change and also to sustain long-term organizational advantages (e.g. Time to market and Return on Investment). Such co-operation needs to comprehensively consider internal factors to organizational success as well as external (e.g. Customers). Moreover measuring and evaluating the co-operation foreground the essence of integrating feedback loop into the framework to empower CM and assure the success of KM activities. In this paper, a formerly developed model, IQMP, is customized and adapted to support CM. The IQMP provides a comprehensive framework to deploy Performance Quality Indicators (PQIs) and a knowledge based analysis of feedback. Finally the paper discusses conception and potential application of the inherited model, Dynamic knowledge Assets Management (DKAM).

关键词： Organizations knowledge management Adaptation models Monitoring Context Educational institutions

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An hidden markov model-based transcription factor mining method

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Journal of Bionanoscience 2013年第1期7卷 66-71页

作者： Wu, Chunguo Li, Gaoyang Wu, Xiaozhou Han, Xiaosong Wang, Binghong Breis, Jesualdo Tomás Fernández Wang, Fei Liang, Yanchun Key Laboratory for Symbol Computation and Knowledge Engineering of National Education Ministry College of Computer Science and Technology Jilin University Changchun 130012 China Business School University of Shanghai for Science and Technology Shanghai 200093 China Shanghai Key Laboratory of Intelligent Information Processing Shanghai 200433 China Department of Informatics and Systems University of Murcia 30100 Murcia Spain

A text mining algorithm named HMM-TFM (Hidden Markov Model based transcription factor name mining) is presented. The proposed algorithm does not need a dictionary of transcription factor names. A small verb set is defined to filter sentences. Transcription factor names are mined according to the part of speech tagged by hidden Markov model. Experimental results show that the recall and precision of HMM-TFM achieve 74.2% and 77.9%, respectively. Copyright © 2013 American Scientific Publishers.

关键词： Data mining

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Demo-SocioPhone: Everyday face-to-face interaction monitoring platform using multi-phone sensor fusion

Demo-SocioPhone: Everyday face-to-face interaction monitorin...

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11th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2013

作者： Lee, Youngki Min, Chulhong Hwang, Chanyou Lee, Jaeung Hwang, Inseok Ju, Younghyun Yoo, Chungkuk Moon, Miri Lee, Uichin Song, Junehwa School of Information Systems Singapore Management University Singapore Computer Science Department KAIST Korea Republic of Web Science and Technology Division KAIST Korea Republic of Center for Mobile Software Platform KAIST Korea Republic of Knowledge Service Engineering Department KAIST Korea Republic of

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SocioPhone: Everyday face-to-face interaction monitoring platform using multi-phone sensor fusion 13

SocioPhone: Everyday face-to-face interaction monitoring pla...

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11th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2013

ISBN: (纸本)9781450316729

In this paper, we propose SocioPhone, a novel initiative to build a mobile platform for face-to-face interaction monitoring. Face-to-face interaction, especially conversation, is a fundamental part of everyday life. Interaction-aware applications aimed at facilitating group conversations have been proposed, but have not proliferated yet. Useful contexts to capture and support face-to-face interactions need to be explored more deeply. More important, recognizing delicate conversational contexts with commodity mobile devices requires solving a number of technical challenges. As a first step to address such challenges, we identify useful meta-linguistic contexts of conversation, such as turn-takings, prosodic features, a dominant participant, and pace. These serve as cornerstones for building a variety of interaction-aware applications. SocioPhone abstracts such useful meta-linguistic contexts as a set of intuitive APIs. Its runtime efficiently monitors registered contexts during in-progress conversations and notifies applications on-the-fly. Importantly, we have noticed that online turn monitoring is the basic building block for extracting diverse meta-linguistic contexts, and have devised a novel volume-topography-based method. We show the usefulness of SocioPhone with several interesting applications: SocioTherapist, SocioDigest, and Tug-of-War. Also, we show that our turnmonitoring technique is highly accurate and energy-efficient under diverse real-life situations. Copyright 2013 ACM.

关键词： Linguistics

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Physicochemical signatures of nanoparticle-dependent complement activation

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Computational science and Discovery 2014年第1期7卷 015003-15002页

作者： Thomas, Dennis G. Chikkagoudar, Satish Heredia-Langner, Alejandro Tardiff, Mark F. Xu, Zhixiang Hourcade, Dennis E. Pham, Christine T. N. Lanza, Gregory M. Weinberger, Kilian Q. Baker, Nathan A. Knowledge Discovery and Informatics Pacific Northwest National Laboratory RichlandWA99352 United States Applied Statistics and Computational Modeling Group Pacific Northwest National Laboratory RichlandWA99352 United States Department of Computer Science and Engineering Washington University in St. Louis St. LouisMO63130 United States Division of Rheumatology Department of Medicine Washington University School of Medicine St. LouisMO63110 United States Division of Cardiology Department of Medicine Washington University School of Medicine St. LouisMO63110 United States

Nanoparticles are potentially powerful therapeutic tools that have the capacity to target drug payloads and imaging agents. However, some nanoparticles can activate complement, a branch of the innate immune system, and cause adverse side-effects. Recently, we employed an in vitro hemolysis assay to measure the serum complement activity of perfluorocarbon nanoparticles that differed by size, surface charge, and surface chemistry, quantifying the nanoparticle-dependent complement activity using a metric called Residual Hemolytic Activity (RHA). In the present work, we have used a decision tree learning algorithm to derive the rules for estimating nanoparticle-dependent complement response based on the data generated from the hemolytic assay studies. Our results indicate that physicochemical properties of nanoparticles, namely, size, polydispersity index, zeta potential, and mole percentage of the active surface ligand of a nanoparticle, can serve as good descriptors for prediction of nanoparticle-dependent complement activation in the decision tree modeling framework. © 2014 IOP Publishing Ltd.

关键词： Nanoparticles

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Introduction to the "soft computing and intelligent data analysis" minitrack

Proceedings of the Annual Hawaii International Conference on...

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Proceedings of the Annual Hawaii International Conference on System sciences 2013年 1384-1384页

作者： Kruse, Rudolf Otto von Guericke University Magdeburg Germany Faculty of Computer Science Department of Knowledge Processing and Language Engineering Germany

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Mining complex event patterns in computer networks

Mining complex event patterns in computer networks

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1st International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2012

作者： Seipel, Dietmar Neubeck, Philipp Köhler, Stefan Atzmueller, Martin University of Würzburg Department of Computer Science Germany Google Germany GmbH Munich Germany Infosim GmbH and Co. KG Würzburg Germany University of Kassel Knowledge and Data Engineering Group Germany

ISBN: (纸本)9783642373817

More and more ubiquitous and mobile computer networks are becoming available, which leads to a massive growth in the amount of traffic and according log messages. Therefore, sophisticated approaches for network management and analysis are necessary for handling and managing networks efficiently. In this paper, we show how to use temporal data mining in a declarative framework for analysing log files for computer networks. From a sequence of network management protocol messages, we derive temporal association rules, which state frequent dependencies between the occuring events. We also present methods for extendable and modular parsing of text messages and their analysis in log files based on Xml. © 2013 Springer-Verlag.

关键词： Data mining

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Recommending web services via combining collaborative filtering with content-based features

Recommending web services via combining collaborative filter...

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2013 IEEE 20th International Conference on Web Services, ICWS 2013

作者： Yao, Lina Sheng, Quan Z. Segev, Aviv Yu, Jian School of Computer Science University of Adelaide Adelaide SA 5005 Australia Department of Knowledge Service Engineering KAIST Daejeon 305-701 Korea Republic of Faculty of ICT Swinburne University of Technology Melbourne VIC 3122 Australia

ISBN: (纸本)9780768550251

With increasing adoption and presence of Web services, designing novel approaches for efficient Web services recommendation has become steadily more important. Existing Web services discovery and recommendation approaches focus on either perishing UDDI registries, or keyword-dominant Web service search engines, which possess many limitations such as insufficient recommendation performance and heavy dependence on the input from users such as preparing complicated queries. In this paper, we propose a novel approach that dynamically recommends Web services that fit users' interests. Our approach is a hybrid one in the sense that it combines collaborative filtering and content-based recommendation. In particular, our approach considers simultaneously both rating data and content data of Web services using a three-way aspect model. Unobservable user preferences are represented by introducing a set of latent variables, which is statistically estimated. To verify the proposed approach, we conduct experiments using 3, 693 real-world Web services. The experimental results show that our approach outperforms the two conventional methods on recommendation performance. © 2013 IEEE.

关键词： Collaborative filtering

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