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This paper studies a hybrid method which integrates the evolution algorithm (EA) and the approximation algorithm (AA) to solve one-dimensional multi-material cutting (1-D MMC) problems. The complexity of the 1-D MMC problem is NP-hard, that is, it cannot be optimally solved by a polynomial time algorithm. Therefore, in this paper, an AA method called first fit decreasing (FFD) is first used to get...
A multi-cluster-head based clustering routing algorithm is researched and realized in order to achieve better balance the energy consumption of wireless sensor network nodes as well as promote the stability and extend the service life of the network. By taking cluster as the basic unit, it divides the wireless sensor network into multiple clusters, each of which includes a main cluster head node,...
This paper investigates the task assignment problem for multiple dispersed robots constrained by limited communication range. The robots are initially randomly distributed and need to visit several target locations while trying to minimize the total travel distance. A centralized rendezvous-based algorithm is proposed, under which all the robots first move towards a rendezvous position until communication...
A new generation memory, Non-Volatile Memory (NVM), such as Phase-Change Memory (PCM), has been adopted together with DRAM in the main memory to form the hybrid main memory for low energy consumption and high capacity. The biggest challenge of hybrid memory is how to decrease the average memory access cost for the higher cost of NVM's read/write operation. Currently, most researches are based on migration...
Aiming at the problem of small infrared target detection, improved structural collaborative sparseness (ISCS) detection algorithm which combined sparseness and edge-preserve smoothing was put forward. Firstly, in order to improve the background, component of bigger gradient was extracted based on zero norm of gradient; Secondly, background sparseness was modeled by row norm; At last, small dim infrared...
The time and energy needed for high-performance VLIW digital signal processors (DSPs) is dependent on the execution efficiency of the codes running on them. YHFT-Matrix DSP is a kind of high performance floating-point DSP for wireless communication and video image processing. It has strong ability to handle vector data and has abundant instruction set. To provide efficient codes for it, and meanwhile...
In wireless sensor networks, small-world model can optimize the network performances, such as small average path length of the networks and high clustering coefficient. However, the links between nodes are determined by the radio range. Hence, many methods based on heterogeneous WSN were proposed. In this paper, a novel approach is proposed to create a small-world model for the homogeneous WSNs. In...
In this paper, we construct nonbinary quasi-cyclic low-density parity-check (QC-LDPC) codes whose parity check matrices consist of an array of square sub-matrices which are either zero matrices or circulant permutation matrices. We propose a novel method to design the shift offset values of the circulant permutation sub-matrices, so that the code length can vary while maintaining a large girth. Extensive...
The area, speed, and power consumption of over-sampled data converters are governed largely by the decimation filters in Sigma-Delta Analog/Digital converters(ADC) and multiplication is the core operation of the digital filter, so the performance of digital system is determined by multiplication. This paper compares four different popular methods: Conventional multiplications and additions; full custom...
After being studied the expression of figure-counting methods, a special numerical method is presented to approach any given value. With a gradual decrease weight of each digit, under the given error, any given data could be described by the permutation and combination of digits (-1, 0, 1). Based on this special numerical method, a new variable step-size optimization algorithm is designed to solve...
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