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Design and Implementation of Agricultural Meteorological service Platform of Zhejiang Province Based on WebGIS* Sponsored by Zhejiang science and technology plan project (2015C02048, 2015C33055), “12th Five-Year” National science and technology support program topic (2012BAD20B02), China Meteorological Administration climate change special issue (CCSF201427).

Design and Implementation of Agricultural Meteorological Ser...

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international conference on Agro-Geoinformatics

作者： Jingjing Xiao Yi Ping Yao Zhifeng Jin Fenfen Guo Zhihai Wang Dehui Yuan Han Zhang Zhejiang Meteorological Bureau Zhejiang Climate Center Hangzhou China Second Institute of Oceanography State Oceanic Administration Hangzhou China

Based on WebGis, agricultural meteorological service platform of Zhejiang Province is developed herein mainly by using C# and Java computer language, coupled with meteorological monitoring and forecasting grid data, agricultural meteorological index data, geographic and administrative information data, and so on. Designed front by JS implementation and SQL Server 2012 as back-end server, the platform is composed of 6 systems, including agrometeorological disaster monitoring and early warning system, agricultural weather forecast system, online analysis system, agrometeorological observation and monitoring system, agro climatic resources system and agricultural service products system. Functions of the platform mainly include graphic operation, agricultural information inquiry and statistics, agrometeorological condition diagnosis and analysis, thematic map making. The platform has been applicate in three levels of provincial, city and county of Zhejiang Meteorological Department.

关键词： Agriculture Indexes Monitoring Servers Weather forecasting Tools

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An Efficient Method for Automatic Generation of Labanotation Based on Bi-Directional LSTM

An Efficient Method for Automatic Generation of Labanotation...

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2019 3rd international conference on Machine Vision and Information Technology (CMVIT 2019)

作者： Xueyan Zhang Zhenjiang Miao Xiaonan Yang Qiang Zhang Beijing Jiaotong University School of Computer and Information TechnologyInstitute of Information Science Center for Ethnic and Folk Literature and Art Derelopment.Ministry of Culture and Tourism

Labanotation uses a variety of graphic symbols to analyse and record human movements accurately and flexibly, which is an important means to protect traditional dance. In this paper, we introduce an efficient method for automatic generation of Labanotation from motion capture data by identifying human movements with bidirectional LSTM network(BiLSTM). Up to our knowledge, this is the first time that Bi-LSTM network has been introduced to the field of Labanotation generation. Compared with previous methods, Bi-LSTM used in our human movements recognition system learns context information for sequential data from not only the past but also the future directions. Combined with a newly designed discriminative skeleton-topologic feature, our approach has the ability to generate more accurate Labanotation than previous work. Experiment results on two public motion capture datasets show that our method outperforms state-of-the-art methods, demonstrating its effectiveness.

关键词： An Efficient Method for Automatic Generation of Labanotation Based on Bi-Directional LSTM

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Smart and connected health projects: Characteristics and research challenges

Smart and connected health projects: Characteristics and res...

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international conference on Smart Health, ICSH 2018

作者： Chen, Jiangping Chen, Minghong Qu, Jingye Chen, Haihua Ding, Juncheng Department of Information Science University of North Texas DentonTX76203 United States School of Information Management Sun Yat-sen University Guangzhou510006 China School of Information Technology and Media Beihua University Jilin132013 China Department of Computer Science University of North Texas DentonTX76203 United States

ISBN: (纸本)9783030036485

The Smart and Connected Health (SCH) program at the National science Foundation (NSF) has been established as a stand-alone solicitation since 2012. This article reviews and analyzes the 100 projects that have been funded since 2012 to understand their characteristics and the research challenges they have addressed in SCH. Descriptive analysis, topic analysis based on Latent Dirichlet Allocation (LDA), and comparative content analysis were performed. Our study indicated that NSF SCH projects, featured with collaborative and multidisciplinary research endeavor, have been exploring more than 36 diseases or health problems, and five major research challenges including electronic health record (HER) data processing, system design or computational model building, personalized or patient-centered medicine, training and education, and privacy preserving. Much more research projects are needed to investigate algorithms, devices, and impacts of smart health on diseases and communities. © Springer Nature Switzerland AG 2018.

关键词： Statistics

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Human augmentation of UAV cyber-attack detection 12th

Human augmentation of UAV cyber-attack detection

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12th international conference on Augmented Cognition, AC 2018 Held as Part of HCI international 2018

作者： Zhu, Haibei Elfar, Mahmoud Pajic, Miroslav Wang, Ziyao Cummings, Mary L. Department of Electrical and Computer Engineering Duke University DurhamNC27708 United States Department of Mechanical Engineering and Materials Science Duke University DurhamNC27708 United States

ISBN: (纸本)9783319914664

Unmanned aerial vehicles (UAVs) have extensive applications in both civilian and military applications. Nevertheless, the continued development of UAVs has been accompanied by security concerns. UAV navigation systems are potentially vulnerable to malicious attacks that target their Global Positioning system (GPS). Thus, efficient GPS hacking detection with high success rate is paramount. Significant effort has been put into developing autonomous hacking detection techniques. However, little research has considered how a human operator can contribute to the security of such systems. In this paper, we propose a human-autonomy collaborative approach for a single operator of multiple-UAV supervisory control systems, where human geo-location is used to help detect possible UAV cyber-attacks. An experiment was designed and conducted using the RESCHU-SA experiment platform to evaluate this approach. The primary results show that 65% of all experiment sessions reached over 80% success rate in UAV hacking detection, while only 17% of participants lost one or more UAVs because of incorrect hacking detections. These results suggest that such an approach could help achieve better security guarantees for human-in-the-loop autonomous UAV systems that are prone to cyber-attacks. © Springer international Publishing AG, part of Springer Nature 2018.

关键词： Global positioning system

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Risk analysis and management of IT systems: Practice and challenges 15

Risk analysis and management of IT systems: Practice and cha...

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15th international conference on Information systems for Crisis Response and Management, ISCRAM 2018

作者： Sulaman, Sardar Muhammad Höst, Martin Dept. of Computer Science Lund University Sweden

ISBN: (纸本)9780692127605

Risk analysis is important for safety-critical IT systems and services, both in public and private organizations. However, the actual practices and the challenges of risk analysis in these contexts have not been fully explored. This paper investigates the current practices of risk analysis by an interview-based investigation. This study investigates several factors of the risk analysis process, e.g., its importance, identification of critical resources, definitions of roles, involvement of di erent stakeholders, used methods, and follow-up analysis. Furthermore, this study also investigates existing challenges in the current practices of risk analysis. A number of challenges are identified, e.g., that risk analysis requires competence both about the risk analysis procedures and the analyzed system, which is challenging to identify, and that it is challenging to follow-up and repeat a risk-analysis that is conducted. The identified challenges can be useful when new risk analysis methods are defined. © Information systems for Crisis Response and Management ISCRAM. All rights reserved.

关键词： Risk analysis

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Research on Peak-to-Average Power Ratio Reduction for FBMC-Based 5G Transmission 1st

Research on Peak-to-Average Power Ratio Reduction for FBMC-B...

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1st international conference on 5G for Future Wireless Networks, 5GWN 2017

作者： You, Wenwan Guo, Junqi Shan, Ke Bie, Rongfang College of Information Science and Technology Beijing Normal University Beijing100875 China

ISBN: (纸本)9783319728223

The pursuit of high-quality modulation has become an inevitable trend along with a continuous evolution of mobile communication technologies. The filter-bank based multicarrier (FBMC) modulation, which has aroused wide concern recently for its higher spectral efficiency than orthogonal frequency division multiplexing (OFDM), is considered as a promising candidate solution to the air interface problem in the fifth-generation communication (5G). Since performance of multicarrier transmission is inevitably and largely affected by peak-to-average power ratio (PAPR), research on PAPR reduction methods is essential. After presenting the architecture of an FBMC transmission system and analyzing structural characteristics of FBMC signals, this paper studies several PAPR reduction methods which are previously used in OFDM transmission, and then attempts to apply them to an FBMC transmission environment by giving theoretical derivation. computer simulation under different cases also verify their feasibility and effectiveness on PAPR reduction of FBMC signal waveform. © 2018, ICST Institute for computer sciences, Social Informatics and Telecommunications Engineering.

关键词： Filter banks

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Knowledge engineering for distributed case-based reasoning systems 1st

Knowledge engineering for distributed case-based reasoning s...

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1st Workshop on Knowledge Engineering and Software Engineering, KESE 2005, Co-Located with 28th German conference on Artificial Intelligence, KI-2005

作者： Bach, Kerstin Department of Computer and Information Science Norwegian University of Science and Technology Trondheim Norway

ISBN: (纸本)9783319641607

This chapter describes how to identify and collect human knowledge and transform it into machine readable and actionable knowledge. We will focus on the knowledge acquisition for distributed case-based reasoning systems. Case-based reasoning (CBR) is a well-known methodology for implementing knowledge-intensive decision support systems (Aamodt, Plaza, Artif Intell Commun, 7(1):39–59, 1994) [1] and has been applied in a broad range of applications. It captures experiences in the form of problem and solution pairs, which are recalled when similar problems reoccur. In order to create a CBR system the initial knowledge has to be identified and captured. In this chapter, we will summarise the knowledge acquisition method presented by Bach, Knowledge acquisition for case-based reasoning systems. Ph.D. thesis, University of Hildesheim, München (2012) [2] and give an running example within the travel medicine domain utilising the open source tool for developing CBR systems, myCBR. © 2018, Springer international Publishing AG.

关键词： Case based reasoning

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Coverage and capacity optimization based on tabu search in ultra-dense network 11th

Coverage and capacity optimization based on tabu search in u...

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11th EAI international conference on Communications and Networking in China, ChinaCom 2016

作者： Su, Xin Lin, Xiaofeng Zeng, Jie Xiao, Chiyang Tsinghua National Laboratory for Information Science and Technology Research Institute of Information Technology Tsinghua University Beijing China

ISBN: (纸本)9783319666273

To meet the requirements of high system capacity and coverage of 5G network, ultra-dense network is viewed as the key technology for networking evolution. And for densely deployed small cell network, self-optimization is crucial in the aspect of reducing the cost of network management while optimizing the network performance. This paper focuses on the coverage and capacity optimization, proposing a mathematical combined optimization function to balance the conflicting key performance indicators. And under this model, we propose the tabu search algorithm for generating new antenna transmit power to optimize the performance. Simulation results show that our proposed algorithm gets significant improvement in network performance and outperforms the adaptive simulated annealing in convergence speed while optimizing. © 2018, ICST Institute for computer sciences, Social Informatics and Telecommunications Engineering.

关键词： Network performance

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Applications of Graph Theory

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PROCEEDINGS OF THE IEEE 2018年第5期106卷 784-786页

作者： Adali, Tuelay Ortega, Antonio Univ Maryland Baltimore Cty Baltimore MD 21228 USA Univ Maryland Baltimore Cty Dept Comp Sci & Elect Engn Baltimore MD 21228 USA Univ Southern Calif Elect Engn Dept Los Angeles CA USA USC EE Syst Los Angeles CA USA USC Signal & Image Proc Inst Los Angeles CA USA

Graph-theoretical methods are being increasingly used in areas of interest within the IEEE and beyond. Graphs are mathematical abstractions that can be used to represent networks of various types: physical (e.g., the internet or electrical networks), biological (e.g., brain networks), or social (e.g., online social networks). Furthermore, graphs can provide tools for flexible representation of data sets in which data points have irregular positions with respect to each other. Common examples of this include data sets acquired by a sensor network, where uniform sensor placement may not be possible, or machine learning data sets, where training samples are not uniformly distributed in feature space. In some instances, a graph representation arises as a natural way to describe the problem, while in other areas, e.g., image processing, they are being used to develop powerful, content-dependent alternatives to conventional processing tools.

关键词： Special issues and sections Graph theory computer graphics Image processing Machine learning Training data Combinatorial mathematics

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Spatial-Temporal Prediction Models for Active Ticket Managing in Data Centers

Spatial-Temporal Prediction Models for Active Ticket Managin...

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作者： Xue, Ji Birke, Robert Chen, Lydia Y. Smirni, Evgenia Department of Computer Science College of William and Mary WilliamsburgVA23185 United States Google Menlo ParkCA94025 United States IBM Research Zurich Röschlikon8803 Switzerland

Performance ticket handling is an expensive operation in data centers, where physical boxes host multiple virtual machines (VMs). A large body of tickets arise from resource usage warnings, e.g., CPU and RAM usages that exceed predefined thresholds. The transient nature of CPU and RAM usage as well as their strong correlation across time among co-located VMs within boxes drastically increase the complexity of ticket management. Based on large resource usage data collected from production data centers, with 6K physical boxes and more than 80K VMs, we first discover patterns of spatial and temporal dependencies among/within the usage series of co-located resources. Leveraging our key findings, we develop an active ticket managing (ATM) system that aims to drastically reduce usage tickets. ATM consists of: 1) a spatial-Temporal dependency-based time series prediction methodology and 2) a proactive capacity planning policy for CPU and RAM resources for VMs co-located within a box and boxes within a single data center client, that aims to drastically reduce usage tickets. ATM exploits the spatial-Temporal dependency across/within multiple resources of co-located VMs and single-client boxes for usage prediction, and then actuates proactive capacity planning. Evaluation results on traces of 6K physical boxes from operating data centers show that ATM is able to provide accurate prediction of usage series in cloud data centers with low computational overhead. At the same time ATM achieves significant ticket reduction up to 60% for both VM and box usage series. © 2004-2012 IEEE.

关键词： Reliability analysis

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