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In this study, a new artificial neuron network model called the meta-controlled Boltzmann machine is introduced. The meta-controlled Boltzmann machine model includes the McCulloch-Pitts model, the Hop field network, and also the Boltzmann machine. The proposed method are applied both diffusion processes and simulated annealing. The convergence proof of the proposed method is shows in this paper. Meta-controlled...
In this paper, we propose a new data hiding method. We divide cover-image into many non-overlapping blocks. Each block consists of two contiguous pixels. We separate the secret data into two parts. These two parts of secret data are hidden into two pixels of the block. The hiding capacity is depended on the difference value of the two points. If the difference value is higher, we embed more bits of...
In this paper, a Similarity Reasoning (SR) scheme for monotonic multi-input Fuzzy Inference System (FISs) is proposed. The sufficient conditions for an FIS to be of monotonicity are exploited as part of the SR and FIS modeling procedure. We first assume that the fuzzy membership functions of an FIS are designed according to the sufficient conditions. We then argue that a conventional SR scheme that...
An experimental approach to the general gray model GMHN was adopted in this paper. Using the GM(0,N) model, we analyze the free vibrations of a Timoshenko beam-carrying multiple spring-mass system. The relative weighting between the five lowest natural frequencies generated by inputting the three variables k*, m* and ξ*. First, we used the data and experiments from past literature to derive...
A novel dynamic contention window control scheme is presented in this paper to improve the performance and energy efficiency of IEEE 802.11-based CSMA/CA DCF wireless networks operating in ad-hoc mode. The number of competing nodes in physical carrier sense systems is one of the major impact on DCF performance and on the energy consumed. A new approach in presented in this paper is using a cross layer...
In this paper, a communication strategy for the parallelized Artificial Bee Colony (ABC) optimization is proposed for solving numerical optimization problems. The artificial agents are split into several independent subpopulations based on the original structure of the ABC, and the proposed communication strategy provides the information flow for the agents to communicate in different subpopulations...
This paper focus on two types of the industry class high-voltage consumer, to investigate various kind of electricity fees which includes demand charge, energy charge, power factor charge and penalty charge, and correlation among them according to the monthly electricity fee calculation structure in the past. Using the simulation of Fuzzy theory analysis and the Optimal Learning of Genetic Algorithm...
In this paper, we propose a novel adaptive fuzzy weight parameter PSO Algorithm (FPSO). In the improved algorithm, the inertia weight reserves its decreasing property after fuzzy treatment, and the position is controlled by fuzzy parameter. Simulations have been done to illustrate that the improved algorithm can regulate global search and local search, and has better search accuracy than the basic...
According to the feature of the allocation of resources in grid environment, an improved grid resource management model based double auction is presented and evaluated. By double auction of grid resource agent and task agent, it implements the management of resources and proposes bidding strategies of grid resources to resolve the low efficiency problem which is because of excessive rounds in the...
In this study, the genetic algorithms and fuzzy comprehensive evaluation were used together to analyze the product assessment data. It is explored which operators were employed and whether everybody used the same operators in fuzzy comprehensive evaluation. It investigated the evaluation made by undergraduates on Master Kong beef instant noodle. The results demonstrated that males used the “max...
This study presents an optimization-based image watermarking scheme by using Lagrange Principle. Unlike traditional way of single-coefficient quantization, this study uses multi-coefficients quantization to embed the watermarks. To modify the low-frequency coefficients of discrete wavelet transform (DWT), the Lagrange Principle is applied to derive an optimization-based formula. Experimental results...
In the wireless LAN, positioning technology based on signal strength of indoor gets more and more attention. in this paper, We introduce Carl filtering algorithm in positioning technology based on signal strength of indoor, it could filter the sampling data to eliminate some noise, and then improves the system's positioning accuracy. the Experimental results show that Carl filtering algorithm could...
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