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This paper presents a novel approach to stabilize video sequences based on low-rank matrix decomposition. Compared to previous methods which are based on simplified models, our stabilization system can work in situations where significant depth variations exist in the scenes and the camera undergoes large translational movement. We formulate the stabilized frames as a low-rank matrix. This allows...
The optimization of national air route network (ARN) becomes imperative for the increase of air traffic. The Crossing Waypoints Location Problem (CWLP) is a crucial problem in the optimal design of ARN. Although CWLP is in fact a typical multi-objective problem, most state-of-art work solve it from a single objective way, which only considers the flight efficiency and other important properties of...
Many VMI Supply Chains produced a set of candidate stock addresses. The set was clustered by distance and storage. Only one address was selected to found warehouse in every class. The address is selected by all VMI supply chains which decides to found warehourse in that class. All VMI Supply Chains share the storage in one stock address class. Every VMI Supply Chain makes optimization of path itself...
The artificial bee colony algorithm is a swarm intelligence optimization algorithm inspired by the intelligent foraging behavior of honeybees. In this paper, modified ABC algorithms are proposed for numerical optimization. We have compared the performance of our ABC approach against the basic ABC algorithm, results show that the proposed methods have somewhat improved the convergence rate and global...
In this paper, a Honey Bee Mating Optimization based Fuzzy (HBMOF) controller is proposed for solution of the Load Frequency Control (LFC) problem in a restructured power system. In the proposed method, for achieving the desired level of robust performance, exact tuning of the PID parameters is very important. Hence, to reduce the design effort and find a better fuzzy system control, PID parameters...
There has been an increase in the number of domains researching bio-inspired algorithms. The researches conclusions mostly suggest that by taking an example of the processes that work in nature for so long can have its benefits. They proved their performance is greater then the classic approach in most fields. Basically, they were applied to optimize other processes. In this paper we will study and...
Log-likelihood ratios (LLRs) are efficient metrics used in the decoding of modern channel codes such as low-density parity-check and turbo codes. LLR calculation, however, can be a complex task since LLRs are usually complicated nonlinear functions of the channel output. In multi-input multioutput (MIMO) channels, the complexity of the calculation increases exponentially with the number of antennas...
This paper deals with the design of a nonlinear model predictive control (NMPC) scheme for the regulation of the substrate concentration in a lipase production bioprocess that takes place inside a Fed-batch Bioreactor. The NMPC control structure is based on the nonlinear model of the process whose parameters are known and all the states are measurable. Minimization of the cost function is realized...
Given the complexity and sophistication of code generation and optimization algorithms, and the difficulty of systematically testing a compiler, it is unsurprising that bugs occur in compilers and cause miscompilation: incorrect executable code is silently generated from a correct source program. The formal verification of a compiler is a radical solution to the miscompilation issue. By applying formal...
High-performance processors suffer from soft error vulnerability due to the increasing on-chip transistor density, shrinking processor feature size, lower threshold voltage, etc. In this paper, we propose to use a rule search strategy, i.e. Patient Rule Induction Method (PRIM), to optimize processor soft error robustness. By exploring a huge microarchitectural design space on the Architectural Vulnerability...
To make the crank slider protective devices to meet the requirements of regulation, optimization was carried out to the absorbing thread of the crank-slider-CST protective device. Based on the finite element model in VPG and simulation in LS-DYNA, with the orthogonal optimization design, obtained the parameters of the absorbing thread. The crash speed in these simulations is 50km/h, which is higher...
Booster disinfection is the reapplication of disinfectant at strategic locations within a water distribution network to keep disinfectant residuals within specified limits. Compared to conventional methods that apply disinfectant only at the source, booster disinfection could improve residual coverage, and reduce the total disinfectant dose due to the more even distribution of disinfectant in space...
Many search space generation algorithms used by query optimizers focus on efficiently and exhaustively enumerating the set of alternative plans. However, newly emerged systems, such as Object-Relational Mapping (ORM) tools, introduce new challenges to the query optimizer. This is because dynamically generated queries are very complex, relatively inexpensive to execute, and they must be optimized at...
Ant colony algorithm is a bionic optimization algorithm, it can solve combinatorial problems effectively. For the problem of the test suite reduction, this algorithm could find the balance point between the speed and the accuracy of solution. Unlike other existing algorithms, this algorithm used test cost criteria, as well as the test coverage criteria. Finally, the paper presented the results, the...
A trust-region algorithm based on new conic model is presented for unconstrained optimization problems by combining filter and nonmonotone technique. When a trial step is not successful, a filter line search is taken to reduce the number of re-solving subproblem as far as possible. The global convergence of the algorithm is proved under certain conditions. Numerical tests show the algorithm is effective.
Mobile platforms have the resource-constrained characteristic, demanding to optimize the program to make up for the relative lack of resources. In this paper, using Symbian C++ as the development language, mainly optimize the code side and display side for the Symbian platform applications. Experimental results show that the technique improves efficiency and user experience degree.
Current programming models and compiler technologies for multi-core processors do not exploit well the performance benefits obtainable by applying algorithm-specific, i.e., semantic-specific optimizations to a particular application. In this work, we propose a pattern-making methodology that allows algorithm-specific optimizations to be encapsulated into “optimization patterns” that are expressed...
As a consequence of increasing functional density and miniaturization in microelectronics new low-k and ultra-low-k materials are going to be increasingly used in Back-end of line (BEoL) layers of advanced CMOS technologies. These ongoing trends together with the transition to the use of TSVs for 3D-IC-integration cause novel challenges for reliability analysis and prediction of relevant electronics...
BIW modal optimization with traditional FEM method was inefficiency and usually with much mass increase. FEM analysis combined with Multi-objective Optimization method was used to improve the first order frequency of BIW. Mathematic model was built by response surface method to replace FEM model and NSGA-II was used to get non-dominated solutions. During the optimization plates with high relative...
We considered the grid generation problem of computation of a grid over a given domain from the knowledge of the domain boundary. A simple grid generation method based on the direct computing of grid curves was proposed. The grid curves wer constructed in u-direction and v-direction by two formulas with the shape parameters, seperately. By choosing different shape parameters, different grid curves...
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