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Terror operations are carried out by a team of terrorists with their interaction and cooperation. Different tie strengths, such as acquaintances, friends, and family members, influence the construction and reconstruction of the operation team. Understanding the interaction patterns of tie strength might be useful not only for advancing our understanding of terror operations, but ultimately for providing...
This paper presents a new similarity measure and matching scheme for content-based image retrieval (CBIR), based on modeling positive and negative hypotheses and testing a query image against these two hypotheses. The paper proposes to calculate first a universal image model (UIM), which is built based on a large set of images. The derived UIM is then used as a reference for the calculation of adapted...
The identification documents (IDs) management system is designed according to the trifles of documents transfer in traditional auto after-sales service and the long cycle of claiming for compensation. The system uses the J2EE language development platform, choose Oracle 9i database and use B/S structure with the functions of IDs entry, replenishment and deduction (R&D) entry, audit, settlement,...
This paper focuses on the On-Line Transaction Processing (OLTP) performance evaluation methods for high performance fault-tolerant (HPFT) computers. By analyzing transaction features of Bank intermediary business (BIB), we design the BIBmodel, the database model and the transaction/frame model of bank intermediary business, and develop the BIB benchmark (BIBbench) as the performance testing suite...
Through the actual research on the existing university laboratory, based on the problems existed in laboratory management, this paper puts forward a design of university laboratory management system based on B/S structure, and then realizes it. The design program fully uses the existing design technologies and implementation methods, thus making the development and maintenance of university laboratory...
In recent years, the Software as a Service, largely enabled by the Internet, has become an innovative software delivery model. During the streaming execution of virtualization software, the execution will wait until the missing data was downloaded, which greatly influences the user experience. In this paper, we present a block-level prefetching framework for streaming delivery of software based on...
High voltage switchgear products always produce a great lot of parts models and design information in digital design. And such products have the characteristics of series and complexity. Therefor, this paper takes a certain series of outdoor HV isolating switchgear as an example, and multi-attribute mapping parts library system has been researched and developed based on C/S mode for corporate design...
For the explosive development of mobile technologies, mobile stations have become an important role in our daily life. People can use cellular phone not only for communications including message, voice, and video, but also for trade. In this article, we aim to propose a brand-new value-added service for mobile subscribers, M-check. A subscriber can apply the new service to trade with a virtual vendor...
To achieve the production information management of the coning, drawing and twisting workshops, and promote a good and fast development of the textile enterprise, a multi-agent production monitoring and control system based on C/S mode is developed, through analyzing the actual requirements of the workshops, where the communication of the single-port-multi-protocol and a multi-thread data collection...
A manufacturing execution system oriented to spinning workshop is developed to analyze the production characteristics and management levels of spinning workshop in the textile enterprises. System structure, data processing and main functions are designed according to the practical requirements. Management principles of MES, ERP, as well as device control systempsilas correlations are elaborated. We...
For increasing the efficiency of mining association rules in student score database, this paper presents an improved algorithm that doesnpsilat extract all rules, but extracts a subset of all rules that is called rule-generating set. We can use it to get all rules. The number of the rule-generating set is smaller than all rules, so the efficiency of mining is increased. The algorithm in this paper...
Amounts of data under varying intrinsic features are empirically thought of as high dimensional nonlinear manifold in the observation space. Locality preserving projections (LPP) is a linear transform that optimally preserves the local structure of the data set, and explicitly considers the manifold structure modeled by an adjacency graph. LPP has been applied in many domains successfully, however,...
Data fusion is one of the most important problems in current image processing field. Non-invasive characteristic of ear and profile face recognition contrary to other biometric recognition, unique ear features and ubiety about face and ear of 3D human head ensure the feasibility for fusing face and ear recognition. A new approach in decision fusion is proposed, the method uses less data than other...
In this paper, an efficient feature extraction method named as Constrained Maximum Variance Mapping (CMVM) is developed for dimensionality reduction. The proposed algorithm can be viewed as a linear approximation of multi-manifolds based learning approach, which takes the local geometry and manifold labels into account. After the local scatters have been characterized, the proposed method focuses...
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