16303483
A Case Study of Enterprise Application Integration Based on Workflow Management System
Work flow management system (WFMS) is a flexible tool for enterprise application integration (EAI). The EAI implement with work flow technology is cheap and convenient. This enlarges the view of enterprises and gives them an opportunity to integrate their legacy applications by advanced IT technology. By study on environment and stratagem of enterprises, this paper establishes a solution of the EAI based on work flow management system and presents an EAI framework with an embedded workflow management component to support business-to-business operations. Nowadays, however, such system is not common. A case study of EAI implement in Tianjin Port is presented and a brief overview of the current enterprise applications and information systems in this enterprise are also presented.
3041039
The Impacts of Enterprise Resource Planning Systems on Firm Performance: An Empirical Analysis of Chinese Chemical Firms
Chinese firms heavily invest in enterprise resource planning systems (ERP) in recent years and expect that ERP can help them gain superior financial performance. Given the high costs and high risk of ERP investments, to quantify the financial benefits of ERP implementation is an important research issue. This paper empirically examines the impacts of ERP implementation on firm performance using the financial data from 50 Chinese chemical firms that implemented ERP. The firms’ abnormal performance during the two-year implementation period and three-year post-implementation period was analyzed based on the guideline of Barber et al. on event studies. The results find no significant performance improvement during the implementation period and the three-year post-implementation period and a decline in performance in the first two years after implementation. However, a slight performance improvement in the third year after implementation may indicate that the financial benefits of ERP may show after a long-term ERP use. These results provide insight for Chinese firms that want to invest in ERP.
694781
A Decentralized Resource Discovery Based on Keywords Combinations and Node Clusters in Knowledge Grid
The organization and discovery of grid resources are foundational and key subjects in grid research. Many research works in this field have presented the solutions to the problem, but few of them are focused on knowledge resources. This paper aims to explore how to support user's knowledge requests submitted in form of multi-keywords. We present a decentralized resource discovery method based on keyword combinations and node clusters. In the method, hot keyword combinations are formed based on user's knowledge requests. Then, grid nodes can be clustered according to these keyword combinations and user's knowledge requests will be transmitted to those clusters that have high correlations with the requests.
42073338
An Approach to Enterprise Application Integration Based on Ontology Semantic Description
This paper systematically provides an enterprise application integration (EAI) approach for the complex product design industry in which the application integration has long been difficult. In addition, the complex product’s data sources are distributed in different enterprise application systems which resulted in the design ontology’s heterogeneousness. Similarly, the differences in enterprise application systems bring about the heterogeneousness of the application ontology. Based on an actual project, this paper studies the nonobjective characteristic of the heterogeneous design ontology and heterogeneous application ontology in the complex product design industry, and establishes the common semantic description models for the two types of ontology respectively. In the actual project, an information system is developed and has been successfully applied to an enterprise.
35490802
Mining Condensed and Lossless Association Rules by Pruning Redundancy
There are excessive and disordered rules generated by traditional approaches of association rule mining, many of which are redundant, so that they are difficult for users to understand and make use of. Han et al pointed out the bottleneck of association rules mining is not on whether we can derive the complete set of rules under certain constraints efficiently but on whether we can derive a compact but high quality set of rules. To solve this problem, a new method was represented, which is based on statistics and probability to get a condensed rules set by removing redundant rules. Our set of rules is more concise, more intelligible and easier to manage and use than others. Especially, the condensed set is lossless so that its switch to original rules-set can be realized. Itpsilas important because the switch keeps the information complete. Experiments on some datasets show that the number of rules in rules-set has been reduced greatly.
46086944
A Research on Dissipative Structure of the Information Resource Organization of E-Government
Government information resource is the foundation of e-government, and government information resource organization pattern is the key factor that affects sustainable development of e-government. At present, a lack of the systematic plan in government information resource organization exists universally. The primary reason is that systematization and formalization of research on government information resource organization pattern is insufficient and lacks support to organize and plan the government information resource. This article starts with the basic assumption of the government information hyper-cycle system consisting of e-government and its object system, depicts the dissipative structure of government information resource organization through introducing superior-rank operator and lower-rank operator in algebra system, and explores actively the self-organized, extensible and universal government information resource organization pattern based on hyper-cycle (PBHC) systematic plan.
15166655
The Vector Data Management of GIS Based on PDA
Traditionally, vector data of GIS based on PDA is managed with a traditional pyramid model to promote displaying speed. However, this pyramid model does not flexible or practical enough to solve many problems, neither the data file designing and data processing method are discussed before. Therefore, in this paper, an improved pyramid model is proposed and a new data format for the model is designed, also, the data processing method is discussed. The experimental results show that, this solution is practical and efficient.
36508955
Parameter convergence and minimal internal model with an adaptive output regulation problem
The parameter convergence of nonlinear adaptive control systems is an important yet not well addressed issue. In this paper, using the global robust output regulation problem of output feedback systems with unknown exosystems as a platform, we will show that the well known persistency of excitation (PE) condition still guarantees the convergence of the estimated parameter vector to the true parameter vector. Moreover, the PE condition will be satisfied if the internal model is minimal in certain sense.
5885917
Managing peer-to-peer networks with human tactics in social interactions
Abstract
Small-world phenomena have been observed in existing peer-to-peer (P2P) networks which has proved useful in the design of P2P file-sharing systems. Most studies of constructing small world behaviours on P2P are based on the concept of clustering peer nodes into groups, communities or clusters. However, managing additional multilayer topology increases maintenance overhead, especially in highly dynamic environments. In this paper, we present Social-like P2P systems (Social-P2Ps) for object discovery by self-managing P2P topology with human tactics in social networks. In Social-P2Ps, queries are routed intelligently even with limited cached knowledge and node connections. Unlike community-based P2P file-sharing systems, we do not intend to create and maintain peer groups or communities consciously. In contrast, each node connects to other peer nodes with the same interests spontaneously by the result of daily searches.

17142920
Service-Oriented Integration of Systems for Military Capability
Service oriented architecture (SOA) is becoming established in computing as a means to integrate processing and data across organisations. This paper proposes that system-level integration can benefit from service oriented architectural descriptions and loose coupling between the problem domain requirements and different system solutions. The problem domain is exemplified as military capability, from the UK Ministry of Defence (MoD), in particular, network enabled capability (NEC). Representations of military capability in the problem domain can be described in terms of processes. The processes are sequences of functions that can be described as services. Then different types of system solutions can implement the described services. Firstly, the paper presents an overview of conceptual SOA and in the context of military capability compares three levels of service integration: business services, systems services and computing services. Secondly, the paper presents a framework for evaluating the performance and effectiveness of service integration to compare different solutions in delivering military capability.
22546600
Fast and robust detection of near-duplicates in web video database
Web video databases tend to contain tremendous near-duplicates with the explosive growth of online videos. How to detect and eliminate these near-duplicates has become an essential problem for Web video storage and indexing. In this paper, we propose a hierarchical approach to solve this problem efficiently and effectively. For an incoming video, firstly we compare global features to exclude videos with large differences. Then pairwise comparison of key-frame level features with more computation cost is performed. For pairwise comparison, we adopt the maximum matching (MM) framework on bipartite graph. Instead of using standard well-known MM algorithm, a simple approximate algorithm of MM and a graph cut algorithm are applied for a higher speed. Experimental results over two databases summing up to more than 20,000 videos demonstrate our algorithmpsilas excellent performance in both speed and accuracy.