Applied Mechanics and Materials Vols. 58-60

Abstract: Signal restoration from randomly sampling is needed in many different application environments, like time efficiency and low-power device or hardware failure. In this paper, we use the Analogical Basis Decomposition (ABD) theory to restore the signal by randomized sampling data in frequency domain. Based on the ABD theory, once standard basis are defined in the signal domain, the corresponding analogical basis can be obtained by randomized sampling each base in the frequency domain. Randomly sampled signal can be represented as sum of weighted analogical basis. We developed a fast matching pursuit technique to estimate the weights of analogical basis and then restore the signal. Actually, ABD theory can be used for signal restoration in other transformation domain (like wavelet transformation). Finally, we apply the ABD theory to reconstruct 2-D MR image based on partial sampling data in k-space.

Abstract: Ontology plays a key role in such areas: knowledge engineering, artificial intelligence, information retrieval, semantic web and web service. It is important to recover knowledge associated with specific domains in relational database to semantics, especially, in Ontology learning field. Previous works showed that ontologies can learn from relational database. However, the presented approaches still have some limits. In this paper, we present an ontology learning method based on Object Relation Mapping (ORM) that presents how the source of the databases can be exploited to ontology and the details of object can be generated, such as class hierarchies, relationship and properties.

Abstract: When supply channels varied increasingly, key material supply forecasting has become indispensable to effective operations management. Rapid technological changes and an abundance of product configurations mean that the supply for key material is frequently volatile and hard to forecast. The paper describes a key material supply forecasting diagnostics tools based on Dynamic Bayesian Network (DBN). The tool was embodied parametric description of some important factors in key material supply forecasting. Furthermore, we developed this tool to pool supply patterns of little or no supply history data. Finally, we solve this reasoning problem with stochastic simulation.

Abstract: This paper introduces a novel algorithm that decomposes a given shape into meaningful parts requiring only strokes to specify foreground and background regions. The user is asked to draws freehand sketches to provide some facets as belonging to the desired part of the surface, and then an energy function is constructed based on graph Laplacian. Finally, a solution of minimizing energy function is provided and then segmentation is finished. We have presented an effective interactive system with an easy-to-use UI for mesh segmentation. The experiment results show that our algorithm is robust, fast, and capable of producing satisfactory results with regard to the human intuition and geometric attributes.

Abstract: In this paper, a novel frequency synchronization algorithm for a new modulation scheme named time domain and frequency domain united orthogonal frequency division multiplexing (TFU-OFDM) is introduced. The frequency synchronization method has two-steps, which joints time and frequency domain estimation based on PN sequences and pilots. We utilize the PN sequences as guard intervals in time domain to achieve the first-step estimation and the second-step is realized by the pilots in data blocks in frequency domain. The simulation results and analysis show that the proposed frequency synchronization method could achieve fast and reliable synchronization and sufficient precision, and provides excellent performance for TFU-OFDM systems.

Abstract: Through investigating the architecture of multi-sensor data fusion system, a universal software architecture which can be used in distributed multi-radar fusion systems is proposed in this paper. In this architecture, functionally independent modules will be extracted from system, it will be standardized as components by object-oriented techniques, and the interface specifications of all the modules are also specified. Aiming at the different objects, system flow and modules can be framed quickly by selecting or expanding proper components based on different scenes feature and object properties. The architecture improves software reusability and scalability, and is propitious to increase software development efficiency.

Abstract: In this paper, we develop a novel robust scheme of two-dimensional unequal error protection (2-D UEP) for the H.264 scalable video coding (SVC) with a combined temporal and quality (SNR) scalability over packet-erasure channel. To avoid the waste of bits and obtain the best rate allocation, we propose a threshold-based UEP (TH-UEP) scheme. The proposed TH-UEP designs a predefined threshold according to the length of packet and the error correcting ability of RS code to achieve the best allocation. In addition, the proposed scheme also derives a simple mathematical model to reduce computational load of the best allocation. Experimental results demonstrate that the proposed H.264 video transmission scheme can provide strong robustness and video quality improvement when compared to other 2-D UEP schemes.

Abstract: In this paper, we propose an embedded real-time MPEG-4 decoder based on ADSP-BF527 Blackfin DSP. In order to achieve the real-time requirement of MPEG-4 decoding, we modify and optimize the decoding modules. Firstly, we analyze the number of operations for various modules, and then use two buffer groups (BG) as parallel decoding mechanism of broadcast transformation. Finally, we make use of direct memory access (DMA) to carry out program steps. Experimental results demonstrate that the proposed method can decode a CIF video which reduces approximately 40.3 MHz core cycles. In addition, the decoded frame playing rate can increase from 3 fps to 25 fps when applied the PPI procedure. The playing rate can reach above 30 fps as using QCIF video so that the proposed method can achieve a real-time decoder and player.

Abstract: According to the limitation on radio range of sensor nodes and the shortage of the nodes' energy of wireless sensor networks(WSNs),we proposed a routing protocol based on CEJ ant colony algorithm(Common ants, Energy ants, Jumping ants).In the improved algorithm, the Common ants walk by inducing pheromone； the Energy ants walk by inducing the remaining energy of the nodes that adjacent to the current node；the Jumping ants induce the times they need to hop from the current node to the Sink node。All the ants cooperate to construct the optimum transmission chain eventually. Simulation results show that this algorithm can balance the energy consumption of nodes in the network and prolong the lifecycle of the whole network.

Abstract: We consider the problem of transmitting common message over discrete memoryless broadcast channel (DM-BC) with noncausal discrete memoryless (DM) channel side information (CSI) only known at encoder. Nayak, etc. consider this problem and give a scheme combining Wyner-Ziv coding and Gelfand-Pinsker coding. The Gelfand-Pinsker's code is optimal for point-to-point communication with the encoder accessed to noncausal CSI. But Nair, etc., show that the straightforward extension of Gelfand-Pinsker's code to DM-BC with DM state is not optimal. In this paper, the inner bound of transmitting common message over DM-BC with noncausal DM-CSI only known at encoder is given. The proof of achievability uses Wyner-Ziv coding, Gelfand-Pinsker coding, superposition coding, Marton coding and indirect decoding.