Developing an integration management system for business continuity, records and knowledge (IMS of BRK) is beneficial to the collaboration, optimization and innovation of business continuity management system (BCMS), ...
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Developing an integration management system for business continuity, records and knowledge (IMS of BRK) is beneficial to the collaboration, optimization and innovation of business continuity management system (BCMS), records management system (RMS) and knowledge management system (KMS) for organization. Comprehensive research and development requirements along with a cogent framework, however, have not been proposed for integrating three of them, which were proposed independently. Based on situational analysis of cross boundaries integration feasibilities in terms of common understandings, general principles and best practice frameworks from relevant national and international standards, this paper proposes integration thinking to combine the advantages of the three paradigms to sustainable competitive advantages; supported by international best practices, the authors propose an integration route covering five levels of integration framework, two integration approaches and three integration controls for dynamic accumulation, sharing and exchange of evidence, memory and knowledge in digital world and global competition.
Much research has been done on integrated use of ISO management system standards. Integrated use of management systems is identified to have shared values of varied integration impacts on resources efficiency building...
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Much research has been done on integrated use of ISO management system standards. Integrated use of management systems is identified to have shared values of varied integration impacts on resources efficiency building and sustainable development of business processes. However, little research has been done on integrated use of business continuity management systems (BCMS), records management systems (RMS) and knowledge management systems (KMS). This paper proposes a holistic integration management approach for collaboration, optimization and innovation of the three management systems through mapping/building/operationalizing cycle for supply of efficiency building strategy to the dynamic accumulation, sharing, and exchanges of memory, evidence and knowledge of organization.
Given a set of lists, where items of each list are sorted by the ascending order of their values, the objective of this paper is to figure out the common items that appear in all of the lists efficiently. This problem...
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Given a set of lists, where items of each list are sorted by the ascending order of their values, the objective of this paper is to figure out the common items that appear in all of the lists efficiently. This problem is sometimes known as common items extraction from sorted lists. To solve this problem, one common approach is to scan all items of all lists sequentially in parallel until one of the lists is exhausted. However, we observe that if the overlap of items across all lists is not high, such sequential access approach can be significantly improved. In this paper, we propose two algorithms, MergeSkip and MergeESkip, to solve this problem by taking the idea of skipping as many items of lists as possible. As a result, a large number of comparisons among items can be saved, and hence the efficiency can be improved. We conduct extensive analysis of our proposed algorithms on one real dataset and two synthetic datasets with different data distributions. We report all our findings in this paper.
SimRank is a well known algorithm which conducts link analysis to measure similarity between each pair of nodes (nodepair). But it suffers from high computational cost, limiting its usage in large-scale datasets. More...
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SimRank is a well known algorithm which conducts link analysis to measure similarity between each pair of nodes (nodepair). But it suffers from high computational cost, limiting its usage in large-scale datasets. Moreover, Links between nodes are changing over time. It may be desirable to quickly approximate the similarity score between certain nodepair without performing a large-scale computation on the entire graph. In our approach we propose a method to efficiently estimate the similarity score using only a small subgraph of the entire graph. We call this novel algorithm “Local-SimRank”. The experimental results conducted on real datasets and synthetic dataset show that our algorithm efficiently produces good approximations to the global SimRank scores. Meanwhile, we prove that the Local-SimRank score LS(a, b) is always less than original SimRank score S(a, b) mathematically.
In recent years, many scientists have done some work in monitoring the fog, and achieved fruitful results. Now we want to conduct more in-depth study. In this paper, we utilize MODTRAN to simulate the relationship bet...
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Nowadays, the key strategic issues about resource and environment, such as global warming, water resources shortage, food security etc. are more complex and multidisciplinary than ever before. In scientific research, ...
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ISBN:
(纸本)9781424473014
Nowadays, the key strategic issues about resource and environment, such as global warming, water resources shortage, food security etc. are more complex and multidisciplinary than ever before. In scientific research, the developmental tendency of modelling and integrating technique is all but irreversible. Focusing on the topic of model integration, we develop a Workflow-based Spatial Modeling Environment (WF-SME) which enables scientists and modeling users easy to design and create of complex systems models through a drag-drop operation or editing mathematical formula in model constructor. WF-SME, a visual integrated modeling environment is mainly used for the rapid realization of model dynamic integration, in which we can implement the composition and connection of the existing models, and generate new model through graphical operation. The papers firstly introduce the framework of model integration designed for WF-SME as well as its supporting theory, and then explain in detail how the modules of WF-SME have been realized. WF-SME is a platform for spatial modelling, which was designed in four parts, Spatial Workflow Designer, Model builder, Spatial Calculation engine and Visualization of Modelling Output. The spatial workflow designer built-in WFSME shipping with toolsets was adopted to create spatial workflow, reuse and aggregate models. Consisting of equation editor and data banding tool, the model builder enable modeller updates formulas on-demand. This editor parsed by MathML is powerful and flexible enough for the requirements of expressions of mathematical calculations. The spatial calculating engine developed based on component, through the map algebra language, executes mathematical calculations. The multi-form visualization module was developed to provide visual expression for a series of intermediate data and its result of the domain models. Finally, we illustrate how the typical practical application sample has been modeled in our modeling environment
The trusted process mechanism is an important part of the operating system security mechanism, but there is no uniform definition of the trusted process and there are some limitations in understanding its fundamental ...
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The trusted process mechanism is an important part of the operating system security mechanism, but there is no uniform definition of the trusted process and there are some limitations in understanding its fundamental properties. In this paper, the trustworthiness of a trusted process is discussed in terms of privilege, data-operated integrity, functional and logic correctness, self-integrity, availability and trusted interactions. A trusted process definition is then given which summarizes the fundamental properties of a trusted process as a theoretical foundation for researching and enforcing the trusted process mechanism. A prototype of a trusted process mechanism is implemented in a secure operating system based on Linux, with the trustworthiness of the trusted process assured in many ways to improve and extende the original trust mechanisms in Linux.
Implementing runtime integrity measurement in an acceptable way is a big challenge. We tackle this challenge by developing a framework called Patos. This paper discusses the design and implementation concepts of our o...
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Poor quality and harsh condition can result in faulty and outlier data in sampling data of sensor nodes. So we need median query to reflect average level of monitoring region. First, we put forward HMA algorithm. Seco...
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Poor quality and harsh condition can result in faulty and outlier data in sampling data of sensor nodes. So we need median query to reflect average level of monitoring region. First, we put forward HMA algorithm. Second, we extend HMA algorithm and put forward HFMA algorithm. In HFMA, We only need collect data inside filter and aggregate influence coefficient during sampling period. Base station can compute median result according to the sample data inside filter and influence coefficient aggregation value. Experimental results have shown that HFMA outperforms Naive algorithm and HMA algorithm and can prolong the lifetime of sensor network.
Along with a massive amount of information being placed online, it is a challenge to exploit the internal and external information of documents when assessing similarity between them. A variety of approaches have been...
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