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This paper focuses on addressing the decentralized data fusion (DDF) problem in dynamic sensor networks based on Chernoff rule. Generally, the Chernoff rule is challenging to implement since the fused probability density functions (pdfs) that cannot be obtained in closed form. Besides, the existing works for implementing Chernoff rule are mostly confined to iterative fusion of two sensors. To address...
This paper looks into G4 function, which helps to estimate the third order phase coefficient parameter of a polynomial phase signal (PPS). However, the use of the lag parameter of G4 function has not yet been fully exploited. Therefore, in this paper, we theoretically derive the optimal lag with respect to the ratio of mean square error (MSE) to the Cramer-Rao low bound (CRB). When the signal-to-noise...
Based on the division or partition of sub array of airborne early warning (AEW) radar, a new method for the partition of the sub array is proposed, which is based on the path search of the directed graph. Under the condition that the number of sub array is given, to maximize the improved factor of sub array level STAP and the lowest side-lobe are the optimization criterion, which is used to search...
The charging behavior of large scale electric vehicle (EV) fleet has the time-spatial characteristics, in this paper the charging characteristics and driving behaviors of an EV was analyzed, and the EV charging load model has been developed. Based on the Monte Carlo method, the charging model of large scale EVs has been built and the impacts of the charging behaviors of the large amount EVs has been...
Multiplexer/switch ICs are key components of NVDIMM architecture that serve to isolate the host controller from the DRAM memory system. Signal integrity performance of the IC can drastically be impacted by package parasitics. In this paper we detailed a system co-design methodology that was employed to design a cost-effective DDR4 switch packaged in a laminate-based chip-scale packaging (CSP), without...
In a coal-fired power generation system, energy efficiency is increasingly focused on due to the fact that the key indices of power plant such as coal cost and emission are closely related to energy efficiency. However, many coal-fired power plants lack effective energy efficiency program due to: diversified unit equipment type, insufficient or outdated original parameter setting, or diversified operation...
The use of top-down categorization information in bottom-up semantic segmentation can significantly improve its performance. The basic Conditional Random Field (CR-F) model can capture the local contexture information, while the locality-consistent sparse representation can obtain the category-level priors and the relationship infeature space. In this paper, we propose a novel semantic segmentation...
In this paper, we derive closed-form expressions for the maximum squared correlation (MSC), total asymptotic efficiency (TAE), and sum capacity (Csum) of minimum total squared correlation (TSC) quaternary signature sets. While TSC, MSC, TAE, and Csum are equivalent optimization metrics over the real/complex field, our developments show that such equivalence does not hold, in general, over the quaternary...
Early detection is important for the quality and reliability management in the industries to reduce the production cost, enhance quality control, improve product reliability, and shorten time-to-market. SPC (Statistical Process Control) is the major tool to realize early detection. A successful SPC pro gram requires management supports, a complete coverage, and the well maintained knowledge management...
This paper concerns the balance between exploration and exploitation for the uncertain environment based on the particle swarm optimizer. Furthermore, the empirical analysis is based on the proposed membership function AEr and AEi, which can measure the distinctions between exploration and exploitation more precisely than before. The experiments are orthogonal designed under different circumstances...
This paper proposes an efficient optimization algorithm to dynamically control the Evolved Packet System (EPS) bearer rates to transport various services between the UE and Evolved Packet Core (EPC) in a LTE Femtocell network scenario. The algorithm is focused on improving the accumulated QoE in the networks and takes joint consideration of limited radio and transport resource so as to leverage the...
Optimization in noisy environments is regard as a favorite application domains of genetic algorithms. Different methods for reducing the influence of noise are presented and discussed. A new fitness evaluation method is proposed that reevaluates all survival individuals each generation. Compared with re-sampling and population sizing, the new evaluation approach shows higher probability of searching...
Multi-interconnect systems (MIS) have become highly popular in high-performance and high-density electrical systems design. However, the ever-increasing clock speed and the ever-complicated interconnections make signal integrity (SI) become a critical design issue and in most situations several iterations are required to achieve optimal SI performance. For the MIS with one driver and N receivers,...
To achieve a minimal time to through the urban traffic trunk road. However, the traditional analytical algorithm can not be applied in actual traffic widely. By combining the genetic BP neural network with the traditional analytical, A novel dynamic two-direction green wave coordinate control strategy was proposed, which applied in solving the function optimization problem. Finally, the new algorithm...
In recent years there is a growing interest in the research of applying genetic algorithms (GAs) for dynamic optimization problems (DOPs), and several approaches have developed to deal with DOPs. Cloud model is a model of transforming a qualitative concept to a set of quantitative numerical values. A new hybrid genetic algorithm based on cloud model is proposed in this paper, cloud model is used to...
Under the background of the balance of exploration and exploitation, this paper analyzes the causes of the optimization hardness by using the concepts of effective ratio of exploration and exploitation. Then, a novel method is proposed to estimate the optimal feature factor, which is the essential part of optimal contraction theorem. At last, the method is tested with eight test functions. Some disadvantages...
LC filters are commonly used in switch mode power supplies to suppress electromagnetic interference (EMI) noise. They are also a driving force for the weight of the system. Optimization of the passive filters has been studied in previous work, however, separately designing the converter and filter does not guarantee an optimal system design. This paper proposes an optimization process with consideration...
Particle Swarm Optimization (PSO) has been successfully applied in the design and optimization of electromagnetic structures. Combined with FDTD technique, PSO is applied in the design of frequency selective surfaces. Together with the GPU acceleration, the FDTD program runs about 100 times faster while preserves the broad-band nature of the algorithm. Standard PSO and binary PSO are applied to deal...
This paper first builds a mathematical model for the mission assignment problem (MAP) of cooperative multiple uninhabited combat aerial vehicles (UCAVs). To address challenges posed by the specific MAP problem, we propose a new immune particle swarm optimization (NIPSO) approach through incorporating immunity memory, diversity clone, and immune selection in artificial immune algorithm into standard...
Traditional swarm intelligence algorithms lack of evolution ability and are easy to fall into premature convergence. Therefore, a new kind of swarm intelligence algorithm, called bacterial colony optimization (BCO) algorithm, was proposed in this paper. The solution space of the problem was considered as a certain culture medium. A single bacterium or a few bacteria were placed randomly in the space...
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