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Sparse representation is efficient to approximately recover signals by a linear composition of a few bases from an over-complete dictionary. However, in the scenario of data compression, its efficiency and popularity are hindered due to the extra overhead for encoding the sparse coefficients. Therefore, how to establish an accurate rate model in sparse coding and dictionary learning becomes meaningful,...
Program instrumentation is a widely used technique in dynamic analysis and testing, which makes use of probe code inserted to the target program to monitor its behaviors, or log runtime information for off-line analysis. There are a number of automatic tools for instrumentation on the source or byte code of Java programs. However, few works address this issue on the register-based Dalvik byte-code...
The non-orthogonal multiple access (NOMA) technique or more generally the non-orthogonal principle is a crucial component for the next generation cellular system. For two-user downlink NOMA, the constellations of near and far users are superposed for transmission, and maximum likelihood (ML) or successive interference cancellation (SIC) receiver is used for reception. In this paper, we aim to further...
Color-guided depth completion is to refine depth map through structure light sensing by filling missing depth structure and de-nosing. It is based on the assumption that depth discontinuity and color edge at the corresponding location are consistent. Among all proposed methods, MRF-based method including its variants is one of major approaches. However, the assumption above is not always true, which...
The compressive sensing theory indicates that robust reconstruction of signals can be obtained from far fewer measurements than those required by the Nyquist theorem. Thus, it has great potential in video acquisition and processing in that it can tremendously save the complex compression required by traditional video coding standards. In this paper, we consider reconstruction of compressive-sensed...
Considering real-time path planning in emergent threats and starting from engineering practice this paper put forward a method for real-time path planning. Combined with dynamic battlefield environment real-time path planning constraints are classified. According to the receding horizon control thought, the rolling detection and planning process is designed, also the time and space constraints of...
Voltage stability margin is associated with reactive power reserve. From this point of view, an optimization method to schedule VAR sources is proposed. Generators have various efficiency of reactive supports to voltage stability because of their location and system condition, etc. Generator participation factor is introduced to assess the importance of generator reactive reserve. The optimization...
This paper presents an optimization of the Irondale algorithm which can speed up execution on ARM920T microprocessor. Irondale was selected as the Advanced Encryption Standard (AES) by the National Institute of Standards and Technology (NIST). First we present a theoretical analysis of the Irondale algorithm and code optimization, and then simulation results of the optimized algorithm on ARM920T microprocessor...
For a given data set, exploring their multi-view instances under a clustering framework is a practical way to boost the clustering performance. This is because that each view might reflect partial information for the existing data. Furthermore, due to the noise and other impact factors, exploring these instances from different views will enhance the mining of the real structure and feature information...
Due to severe geographical conditions, limited investment and environmental pressure, HVDC sending systems are often weakly interconnected with main network, Sometimes HVDC sending systems may even operate in islanded mode. Over-voltage/low-voltage after large disturbances becomes a serious problem. Static over-voltage/low-voltage problem in weakly interconnected or islanded HVDC sending systems is...
This paper proposes a fuzzy bi-objective unit commitment optimization model considering source-grid-load interactions. On the one hand, the model combines economic objective and environmental objective reasonably, and it can deal with bi-objective optimization both with priority and without priority. On the other hand, the model takes the interactions between supply side and demand side of power system...
The arrangement of traction motor for ventilation and air duct directly affect the operating performance of locomotives. Due to the complex structure of modern locomotive, irregular bending or twisting section inevitably appear when designing air ducts, which bring lots of trouble for layout of air duct. It is necessary to apply modern design method in order to design ventilation system with good...
Combinatorial Testing (CT) is a black-box testing technique, which is used to test parameterized systems. Real applications often have some special testing requirements, especially parameter constraints. Our experimental results show that existing CT test generators cannot deal with constraints very well as the number of constraints increases. This is due to their constraint solving mechanisms, where...
This paper presented the mathematical models of load three-phase equilibrium optimal allocation in low-voltage power network, studied the commonly used graphical modeling method based on the painted electric writing diagram of low-voltage power network. Using Visio 2003 we developed a practical auxiliary system of calculating the line loss in low-voltage network and load optimal allocation. It is...
Compressed Sensing (CS) has drawn quite an amount of attention as a joint sampling and compression approach. Its theory shows that a signal can be decoded from many fewer measurements than suggested by the Nyquist sampling theory, when the signal is sparse in some domain. So one of the most significant challenges in CS is to seek a domain where a signal can exhibit a high degree of sparsity and hence...
In this paper, a novel algorithm for high-quality image restoration is proposed. The contributions of this work are two-fold. First, a new form of minimization function for solving image inverse problems is formulated via combining local total variation model and nonlocal adaptive 3-D sparse representation model as regularizers under the regularization-based framework. Second, a new Split-Bregman...
We propose tuple density to be a new metric for combinatorial test suites. It can be used to distinguish one test suite from another even if they have the same size and strength. Moreover, it is also illustrated how a given test suite can be optimized based on this metric. The initial experimental results are encouraging.
We introduce a new method for classification called the influence machine. The influence machine assigns influence powers to the instances in the training sample so that they can apply their influence to other instances through the connections between the instances specified by a connection matrix. A new instance is classified to be positive if the overall influence it receives is positive and vice...
In order to accurately describe the uncertainty in production environment, an approach on making production planning with fuzzy information is proposed. Based on the credibility theory, a fuzzy chance-constrained programming model is established. With the uncertain information presented as trapezoidal fuzzy number, the model can be transformed into its corresponding crisp equivalent model. In the...
In this paper, we propose an adaptive cross layer technique that optimally enhance the QoS of wireless video transmission in an IEEE 802.11e WLAN. The optimization takes into account the unequal error protection characteristics of video streaming, the IEEE 802.11e EDCA parameters and the lossy nature of wireless channel. Our proposed technique makes use of two analytical models: a video distortion...
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