35977333
Multi-Media Retrieval with Semantic Web: A Case Study in Airport Security Inspection Applications
Multi-media retrieval based on content meaning is an important issue. It has significant applications in the tracing of terrorists based on airport security inspection information. In this paper, we review the defects of traditional image retrieval technology. A semantic Web based image retrieval method is proposed, which is deployed into an airport security inspection information retrieval system. We present the techniques of domain ontology construction and semantic-Web annotation for the media. An image retrieval technique based on semantic annotation is suggested, and the design of a semantic information retrieval prototype system for airport security inspection application is described.
26319937
Intelligent Metal Powder Laser Forming System
Metal Power Laser Forming (MPLF) is a high precision and complicated process. The quality of the formed parts is affected by many parameters and may vary significantly during the laser forming process. In order to guarantee the stabilities of the process, a state-of-the-art intelligent MPLF system was developed in this paper. The intelligent system includes CNC system, energy supply and control system, powder delivering and control system, and realtime feedback control system. The established state-of-the-art apparatus and several metal parts formed by the MPLF system are presented in this paper.
4342705
Weighted Ontology-Based Search Exploiting Semantic Similarity
This paper is concerned with the problem of semantic search. By semantic search, we mean searching for instances from knowledge base. Given a query, we are to retrieve ‘relevant’ instances, including those that contain the query keywords and those that do not contain the keywords. This is contrast to the traditional approaches of generating a ranked list of documents that contain the keywords. Specifically, we first employ keyword based search method to retrieve instances for a query; then a proposed method of semantic feedback is performed to refine the search results; and then we conduct re-retrieval by making use of relations and instance similarities. To make the search more effective, we use weighted ontology as the underlying data model in which importances are assigned to different concepts and relations. As far as we know, exploiting instance similarities in search on weighted ontology has not been investigated previously. For the task of instance similarity calculation, we exploit both concept hierarchy and properties. We applied our methods to a software domain. Empirical evaluation indicates that the proposed methods can improve the search performance significantly.
20822692
Fuzzy Predictive Control in Czochralski Crystal Growth with Power Input as the Unique Manipulation
This paper presents a study to Czochralski crystal growth process based on Hurle’s model linearized at the equilibrium points. In this study, we do the attempt to get single crystal with constant diameter using the power input as the unique manipulation by removing pull rate manipulation which was suspected to be contributing to structure defects in the crystal from the system. Compared with the traditional PID, fuzzy predictive control algorithm is more effective to handle the Czochralski growth process which enhances the tracking capability and system robustness. Simulation results indicate that we can get the constant diameter of crystal by manipulating the power input only and fuzzy predictive control is more effective to the time-lagging and inertia system.
9437535
Practical Application of FDC in Software Service Pricing
This paper proposes a modified fully distributed cost (FDC) pricing method with third-degree price discrimination for software service. The method is a feasible and simple method to be used in practice. The pricing process is generalized as involving data collection, strategy analysis and strategy establishment. Then a practical SCM software service pricing in retail industry is described
1087856
Towards a Model Driven Service Engineering Process
Developments in the realm of business services have opened new challenges in the business consulting world. Consequently, new procedures for services system development are being proposed. In this work, we present a model driven approach for streamlining the service engineering process. An important aspect of our work is a method for model transformation, which is essential for providing and enhancing the management and governance capabilities of the service engineering process. We then introduce a novel infrastructure which leverages Web 2.0 technologies to address the challenge of developing semantic modeling editors. Finally, we use this infrastructure as the target platform to validate our work.
15937167
High-throughput layered decoder implementation for quasi-cyclic LDPC codes
This paper presents a high-throughput decoder design for the Quasi-Cyclic (QC) Low-Density Parity-Check (LDPC) codes. Two new techniques are proposed, including parallel layered decoding architecture (PLDA) and critical path splitting. PLDA enables parallel processing for all layers by establishing dedicated message passing paths among them. The decoder avoids crossbar-based large interconnect network. Critical path splitting technique is based on articulate adjustment of the starting point of each layer to maximize the time intervals between adjacent layers, such that the critical path delay can be split into pipeline stages. Furthermore, min-sum and loosely coupled algorithms are employed for area efficiency. As a case study, a rate-1/2 2304-bit irregular LDPC decoder is implemented using ASIC design in 90 nm CMOS process. The decoder can achieve the maximum decoding throughput of 2.2 Gbps at 10 iterations. The operating frequency is 950 MHz after synthesis and the chip area is 2.9 mm2.