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The treatment of spent electroless nickel plating baths has attracted much attention from the standpoints of environmental protection and nickel recycling. In order to design a nickel recovery process from the spent baths, the continuous extraction and stripping of nickel in the spent baths were carried out using a mixer-settler extractor. 2-Hydroxy-5-nonylacetophenone oxime (LIX84I) and 2-ethylhexylphosphonic...
This paper presents an interleaved class E2 dc/dc converter. In the proposed converter, N class E2 dc/dc converters are connected in parallel at the class E rectifier. The proposed converter is suitable to the low-voltage/high-current applications. Since less current flows through the each converter, the amount of the power losses on the parasitic resistances are also reduced. In addition, the output...
This paper investigates the design curves of the class DE amplifier with nonlinear shunt capacitances for any output Q and any grading coefficient m of the diode junction in MOSFET. The design curves are derived by the numerical calculation. It is clarified that the nonlinearities of shunt capacitances affect the design curves of the class DE amplifier, especially, for low output Q. The waveforms...
In this paper, a new shrink theory and denoising algorithm for image with Gaussian noise based on complex wavelet transform is presented and investigated. We calculate threshold value by a moving window, we can obtain different threshold values for different coefficients using our method. We modify the noisy wavelet coefficients using bivariate shrinkage method, the shrinkage functions do not assume...
This paper studies a image show-through problem. It happens often when we copy or scan a paper document, in which the image from the back page shows through. The images obtained on both side of the paper can be considered as mixture components, which are nonlinear mixtures of original images. In this study, we propose to use self-organizing map (SOM) and fastICA to implement separation of the image...
The increase in the number of medical exams, the need to store images resulting for those exams at a very high quality, and the introduction of teleradiology result in an overwhelm increase in storage and distribution costs of medical images. In this paper we propose a method using JPEG 2000 in the lossless or near lossless modes to encode medical images, in order to reduce image storage costs and...
This paper presents a method of continuous-time simple adaptive control (SAC) using multiple neural networks for a single-input single-output (SISO) nonlinear systems with unknown parameters and dynamics, bounded-input bounded- output, and bounded nonlinearities. The control input is given by the sum of the output of the simple adaptive controller and the sum of the outputs of the parallel small-scale...
Sliding mode control (SMC) has a strong capability of controlling nonlinear systems with uncertainties. However, the discontinuous control signal causes the significant problem of chattering. Furthermore, it requires thorough knowledge of the parameters and dynamics of the controlled plant, which are difficult to be obtained or may be unknown, to calculate the equivalent control law of SMC. In this...
In this paper, a new type of multineural networks filter (MNNF) is presented that is trained for restoration and enhancement of the medical CR images. In medical CR image, noise has been categorized as quantum mottle, which is related to the incident X-ray exposure and artificial noise, which is caused by the grid, etc. MNNF consists of several neural network filters (NNFs). A novel analysis method...
This paper presents a means to make the model for nonlinear systems based on Radial Basis Function Neural Network (RBFNN).As a example, the high power DC graphitizing furnace is analyzed, and the RBF model of the system is constructed from experiments or simulations. The procedures for training the model are described along with discussions on error. All the simulated results show that the discussed...
Motion segmentation is important in many computer vision application, which aims to detect motion regions such as moving vehicles and people in natural scenes. Detecting moving blobs provides a focus of attention for later processes such as tracking and activity analysis. However, changes from weather, illumination, shadow and repetitive motion from clutter make motion segmentation difficult to process...
Compression artifacts are the results of an aggressive data compression scheme applied to an image that discards some data which is determined by an algorithm to be of lesser importance to the overall content but which is nonetheless discernible and objectionable to the user. In this paper we present a post-processing algorithm that focus on restoring the clarity of edges and removing the compression...
In most block-based video coding systems, the fast block matching algorithms (BMAs) use the origin as the initial search center, which may not track the motion very well. To improve the accuracy of the fast BMAs, a new adaptive motion tracking search algorithm is proposed in this paper. Based on the spatial correlation of motion blocks, a predicted starting search point, which reflects the motion...
We propose an independent component analysis (ICA) approach which is robust against impulse noise. It consists of noise detection and image signal separation. We introduce a self-organizing map (SOM) network to determine if the observed image pixels are corrupted by noise. We mark each pixel to distinguish normal and corrupted ones. After that, we use one of two traditional ICA algorithms (fixed-point...
This paper presents the fuzzy PID (FPID) controller using neural network (NN) for controlling the magnetic levitation system. Magnetic levitation systems are open loop unstable, uncertainly and inherently nonlinear systems. Consequently, controlling this kind of the system is very difficulty. The FPID controller is developed to provide nonlinear or linear control action that can improve performance...
The improved multiscale intensity estimation method in wavelet domain presented here is a powerful new tool for image denoising and reconstruction. Specifically, we extend the so-called multiscale intensity estimation in wavelet domain. Unlike traditional wavelet-shrink methods, this method is both well suited to processing Poisson data and capable of preserving image edges. At the heart of this new...
This paper considers an UWB (ultra-wideband) SC-FDE (single-carrier input-multiple output with frequency domain equalization) system for multiuser. The method exploits higher order statistics (HOS) in the received signals. It is followed by a method which solves permutation problem. The permutation problem is caused by the Fourier transform (FFT) operations. Simulations show that the proposed method...
In this paper we propose a progressive encryption and controlled access scheme for JPEG 2000 encoded images. Our scheme applies SNOW 2 stream cipher to JPEG 2000 codestreams in a way that preserves most of the inherent flexibility of JPEG 2000 encoded images and enables untrusted intermediate network transcoders to downstream an encrypted JPEG 2000 image without access to decryption keys. Our scheme...
Sliding mode control (SMC) has a strong capability in controlling nonlinear systems with uncertainties. However, SMC requires thorough knowledge of the controlled plant parameters and dynamics that is difficult to be obtained or may be unknown, which causes difficulties in calculating the equivalent control law of SMC. To overcome this problem, this paper proposes an adaptive SMC using simple adaptive...
This paper presents design procedure and experimental results class DE inverter with band-pass filter. In the proposed inverter, band-pass filter is used instead of resonant filter in the class DE inverter presented at the previous papers. By using band-pass filter, the sensitivity of output voltage to the operating frequency can be suppressed. By carrying out circuit experiments, we show that the...
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