检索结果-南通市图书馆

Prospects on mangrove knowledge services in the smart era: From plant atlas to knowledge graphs

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Science China Earth Sciences 2025年第1期68卷 111-127页

作者： Zhi-Wei HOU Wenlong JING Cheng-Zhi QIN Ji YANG Qing XIA Xiaoling YIN key laboratory of Guangdong for Utilization of Remote Sensing and Geographical information system Guangdong Open Laboratory of Geospatial Information Technology and Application Guangzhou Institute of Geography Guangdong Academy of Sciences Southern Marine Science and Engineering Guangdong laboratory (Guangzhou) State key laboratory of Resources and Environmental information system Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of Sciences College of Resources and Environment University of Chinese Academy of Sciences school of Traffic & Transportation Engineering Changsha University of Science and Technology

Mangroves are crucial to the ecological security of the Earth and human well-being. Their management, conservation, and restoration are of great importance and necessitate the support of spatio-temporal information and multidisciplinary knowledge such as biology and ecology. Traditional knowledge services such as plant atlas provide illustrated textual knowledge of mangroves. However, this kind of service is oriented to information retrieval and is incapable of effectively mining and utilizing fragmented knowledge from multi-source heterogeneous data, facing the problem of “massive data, rare knowledge”. Knowledge graphs are capable of extracting, organizing, and fusing the knowledge contained in massive data into semantic networks that can be understood and computed by computers. They provide a solution for the realization of intelligent knowledge services. Focusing on the urgent need for mangrove knowledge acquisition, formal representation, and intelligent services, this paper proposes a research prospect on mangrove knowledge graphs and knowledge services. We first analyze the similarities and differences between various domain-specific concepts of Tupu. On this basis, we define the mangrove knowledge graph as a large-scale knowledge base that integrates multi-disciplinary knowledge and spatio-temporal information with mangrove ecosystems as the core. Then, we propose a research framework for mangrove knowledge services that can realize the transformation from multi-modal data to intelligent knowledge services, including multiple research levels such as ubiquitous data sensing and aggregation, knowledge organization and graph construction, and intelligent mangrove knowledge services. Subsequently, the methods and workflow for constructing mangrove knowledge graphs are introduced. Finally, we discuss the challenges and possible future directions of mangrove knowledge services in the smart era, including the construction of a mangrove knowledge system that integra

关键词： Mangrove Tupu Knowledge graph Multi-modal Knowledge service

AI-Enhanced Secure Data Aggregation for Smart Grids with Privacy Preservation

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2025年第1期82卷 799-816页

作者： Congcong Wang Chen Wang Wenying Zheng Wei Gu school of software Nanjing University of Information Science and TechnologyNanjing210044China school of information Science and Engineering Zhejiang Sci-Tech UniversityHangzhou310018China State key laboratory of Public Big Data Guizhou UniversityGuiyang550025China school of Computer Science and Technology(school of Artificial Intelligence) Zhejiang Sci-Tech UniversityHangzhou310018China school of Computer Science(school of Cyber Science and Engineering) Nanjing University of Information Science and TechnologyNanjing210044China

As smart grid technology rapidly advances,the vast amount of user data collected by smart meter presents significant challenges in data security and privacy *** research emphasizes data security and user privacy concerns within smart ***,existing methods struggle with efficiency and security when processing large-scale *** efficient data processing with stringent privacy protection during data aggregation in smart grids remains an urgent *** paper proposes an AI-based multi-type data aggregation method designed to enhance aggregation efficiency and security by standardizing and normalizing various data *** approach optimizes data preprocessing,integrates Long Short-Term Memory(LSTM)networks for handling time-series data,and employs homomorphic encryption to safeguard user *** also explores the application of Boneh Lynn Shacham(BLS)signatures for user *** proposed scheme’s efficiency,security,and privacy protection capabilities are validated through rigorous security proofs and experimental analysis.

关键词： Smart grid data security privacy protection artificial intelligence data aggregation

QoS Requirement Generation and Algorithm Selection for Composite Service Based on Reference Vector

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Computer Science & Technology 2009年第2期24卷 357-372页

作者：吴邦欲支志雄徐世杰顾明孙家广 school of software Tsinghua University key laboratory for information system security Ministry of Education of China Department of Computer Science and Technology Tsinghua University

Under SOA （Service-Oriented Architecture）, composite service is formed by aggregating multiple component services together in a given workflow. One key criterion of this research topic is QoS composition. Most work on service composition mainly focuses on the algorithms about how to compose services according to assumed QoS, without considering where the required QoS comes from and the selection of user preferred composition algorithm among those with different computational cost and different selection results. In this paper, we propose to strengthen current service composition mechanism by generation of QoS requirement and its algorithm selection based on the QoS reference vectors which are calculated optimally from the existing individual services＇ QoS by registry to represent QoS overview about the best QoS, the worst （or most economical） QoS, or the average QoS of all composite services. To implement QoS requirement, which is determined according to QoS overview, this paper introduces two selection algorithms as two kinds of experiment examples, one aiming at the most accurate service selection and the other chasing for trade-off between selection cost and result. Experimental results show our mechanism can help the requester achieve his expected composite service with appropriate QoS requirement and customized selection algorithm.

关键词： service-oriented architecture service composition quality of services service selection

Dominant Skyline Query Processing over Multiple Time Series

在线全文

学校读者我要写书评

暂无评论

Journal of Computer Science & Technology 2013年第4期28卷 625-635页

作者：汪浩王朝坤徐亚军宁苑池 Department of Computer Science and Technology Tsinghua University Tsinghua National laboratory for information Science and Technology key laboratory for information system security Ministry of Education school of software Tsinghua University

Multiple time series （MTS）, which describes an object in multi-dimensions, is based on single time series and has been proved to be useful. In this paper, a new analytical method called α/β-Dominant-Skyline on MTS and a formal definition of the α/β-dominant skyline MTS are given. Also, three algorithms, called NL, BC and MFB, are proposed to address the α/β-dominant skyline queries over MTS. Finally experimental results on both synthetic and real data verify the correctness and effectiveness of the proposed method and algorithms.

关键词： multiple time series α/β-dominant skyline skyline query processing

Integrated importance measure for multi-state coherent systems of k level

在线全文

学校读者我要写书评

暂无评论

Journal of systems Engineering and Electronics 2013年第6期24卷 1029-1037页

作者： Xibin Zhao Shubin Si Hongyan Dui Zhiqiang Cai Shudong Sun key laboratory for information system security of Ministry of Education School of SoftwareTsinghua University Ministry of Education key laboratory of Contemporary Design and Integrated Manufacturing Technology School of MechatronicsNorthwestern Polytechnical University

To verify the effectiveness of the integrated importance measure （IIM） for multi-state coherent systems of k level, the definition and physical meaning of IIM are demonstrated. Then, the improvement potential and Δ-importance measures are generalized to multi-state coherent systems based on the system performance level, and the relationships between IIM and traditional importance measures are discussed. The characteristics of IIM are demonstrated in both series and parallel systems. Also, an application to an oil transportation system is given. The comparison results show that：（i） IIM has some useful properties that are not possessed by traditional importance measures; （ii） IIM is effective in evaluating the component role in multi-state systems when the component reliability and the failure rate are simultaneously considered.

关键词： multi-state coherent system system performance level integrated importance measure system reliability

A Hierarchical Ensemble Learning Framework for Energy-Efficient Automatic Train Driving

在线全文

学校读者我要写书评

暂无评论

Tsinghua Science and Technology 2019年第2期24卷 226-237页

作者： Guohua Xi Xibin Zhao Yan Liu Jin Huang Yangdong Deng CRRC Corporation Limited school of software and key laboratory for information system security Ministry of Education (KLISS)/Beijing National Research Center for Information Science and Technology (BNRist) Tsinghua University

Railway transportation plays an important role in modern society. As China's massive railway transportation network continues to grow in total mileage and operation density, the energy consumption of trains becomes a serious concern. For any given route, the geographic characteristics are known a priori, but the parameters(e.g., loading and marshaling) of trains vary from one trip to another. An extensive analysis of the train operation data suggests that the control gear operation of trains is the most important factor that affects the energy consumption. Such an observation determines that the problem of energy-efficient train driving has to be addressed by considering both the geographic information and the trip parameters. However, the problem is difficult to solve due to its high dimension, nonlinearity, complex constraints, and time-varying characteristics. Faced with these difficulties, we propose an energy-efficient train control framework based on a hierarchical ensemble learning approach. Through hierarchical refinement, we learn prediction models of speed and gear. The learned models can be used to derive optimized driving operations under real-time requirements. This study uses random forest and bagging – REPTree as classification algorithm and regression algorithm, respectively. We conduct an extensive study on the potential of bagging, decision trees, random forest, and feature selection to design an effective hierarchical ensemble learning framework. The proposed framework was testified through simulation. The average energy consumption of the proposed method is over 7% lower than that of human drivers.

关键词： machine learning energy efficiency train driving system feature selection ensemble learning

SMT-based query tracking for differentially private data analytics systems

在线全文

学校读者我要写书评

暂无评论

Frontiers of Computer Science 2018年第6期12卷 1192-1207页

作者： Chen LUO Fei HE Tsinghua National laboratory for information Science and Technology (TNList) School of SoftwareTsinghua UniversityBeijing 100084China key laboratory for information system security Ministry of EducationTsinghua UniversityBeijing 100084China

Differential privacy enables sensitive data to be analyzed in a privacy-preserving manner. In this paper, we focus on the online setting where each analyst is assigned a privacy budget and queries the data interactively. However, existing differentially private data analytics systems such as PINQ process each query independently, which may cause an unnecessary waste of the privacy budget. Motivated by this, we present a satisfiability modulo theories (SMT)-based query tracking approach to reduce the privacy budget usage. In brief, our approach automatically locates past queries that access disjoint parts of the dataset with respect to the current query to save the privacy cost using the SMT solving techniques. To improve efficiency, we further propose an optimization based on explicitly specified column ranges to facilitate the search process. We have implemented a prototype of our approach with Z3, and conducted several sets of experiments. The results show our approach can save a considerable amount of the privacy budget and each query can be tracked efficiently within milliseconds.

关键词： differential privacy privacy budget satisfiability modulo theory

A B-spline curve extension algorithm

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Science China(information Sciences) 2016年第3期59卷 37-45页

作者： Yang LU Kanle SHI Junhai YONG Hejin GU Haichuan SONG school of software Tsinghua University Department of Computer Science and Technology Tsinghua University key laboratory for information system security Ministry of Education of China Tsinghua National laboratory for information Science and Technology Jiangxi Academy of Science

B-spline curve extension is an important operation in computer aided design systems. In this paper,we present a new extension algorithm for B-spline curves. The algorithm uses curve unclamping to generate a uniform B-spline curve segment from the original curve and gradually extends the segment to pass through every target point. Algorithms of uniform B-spline curves are used such that our algorithm has a low time cost and can easily handle arbitrary-order derivative constraints at the target points. Generalization for non-uniform rational B-spline curve extension is also discussed, and examples show the efficiency of our method.

关键词： curve extension B-spline/NURBS unclamping clamping uniform

TAR~*:an improved process similarity measure based on unfolding of Petri nets

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

计算机集成制造系统 2012年第8期18卷 1774-1784页

作者： WANG Wen-xing WANG Jian-min school of software Tsinghua University Beijing 100084 China Ministry of Education key laboratory for information system security Tsinghua UniversityBeijing 100084 China Tsinghua National laboratory for information Science and Technology Beijing 100084 China

Determining the similarity degree between process models was very important for their management,reuse,and *** approaches either focused on process model's structural aspect,or had inefficiency or imprecision in behavioral *** at these problems,a novel similarity measure which extended an existing method named Transition Adjacent Relation(TAR) with improved precision and efficiency named TAR * was *** ability of measuring similarity was extended by eliminating the duplicate tasks without impacting the *** precision,TARs was classified into repeatable and unrepeatable ones to identify whether a TAR was involved in a *** new kinds of TARs were added,one related to the invisible tasks after the source place and before sink place,and the other representing implicit *** efficiency,all TARs based on unfolding instead of its reach ability graph of a labeled Petri net were calculated to avoid state space *** on artificial and real-world process models showed the effectiveness and efficiency of the proposed method.

关键词： transition adjacent relation unfolding Petri nets behavioral similarity