The application of digital signal processing for detection and preservation of different species has been progressing rapidly. In this paper, one such better approach as applied to wild bird species is presented. Feat...
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ISBN:
(纸本)9781479904143
The application of digital signal processing for detection and preservation of different species has been progressing rapidly. In this paper, one such better approach as applied to wild bird species is presented. Feature extraction is done by first performing wavelet transform on sampled bird sounds. After which frequency conversion and determination of mean value that determine the strength of the frequency ingredient is obtained; furthermore, the uniqueness of the modulation spectrum is used as an additional input for the detection mechanism of the birdcall's frequency. The obtained feature quantities then become input to the neural network to simplify classification of nocturnal wild bird species.
This paper presents Linear Mean-Median (LMM) filter that used to reduce impulse noise. LMM filter is a combination between Mean and Median filter. Wherein, linear value is acquired from the linearity between mean and ...
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This paper presents Linear Mean-Median (LMM) filter that used to reduce impulse noise. LMM filter is a combination between Mean and Median filter. Wherein, linear value is acquired from the linearity between mean and median value. Mean and Median filter are only applied for free-noise pixel on the 3×3 windows that has been sorted from the smallest to the largest value. The mean value is obtained from the average value of all free-noise pixels without including the median pixel position. Meanwhile, median pixel is the middle position of the pixel that has been sorted. LMM uses nine sample pixels to determine a pixel for replacement a corrupted pixel. Our filter also provides the impulse noise prediction systems that serve as a facilitator to give information about noise content. If the noise is greater than 30%, the performance of LMM filter needs to be improved by an adaptive rank order mean filters. The filtering results have shown satisfactory results in terms of the quality result and the computation time process. A good image quality can be evidenced by PSNR (Peak Signal to Noise Ratio). Our methods always have higher PSNR value than the comparison methods. In addition, the speed computation time of our method is faster than the comparison method.
Epithelial ovarian carcinoma (EOC) is the leading cause of cancer-related death in women in Western countries. Once patients experience recurrence, complete cure is almost impossible. We elucidated the effect of noneq...
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Demand has been placed on systems that use a dynamic random access memory (DRAM) to not only increase the total capacity and data transfer speed but also reduce the operating and standby currents. Owing to data retent...
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ISBN:
(纸本)9781467325240
Demand has been placed on systems that use a dynamic random access memory (DRAM) to not only increase the total capacity and data transfer speed but also reduce the operating and standby currents. Owing to data retention time restrictions, a refresh operation to rewrite data in memory cell capacitor is necessary, and power consumption for a refresh operation increases in proportion to the memory capacity. A new proposed method, partial access mode (PAM) is executed by conversion from 1 cell/bit to 2 N cells/bit to reduce the refresh power consumption and the frequency of disturbance effectively extending the memory cell retention time. Conventional computer systems generate a new low-power mode PAM in which all conventional functions and operations are maintained as a full array access mode. The effect of PAM is expressed as the refresh operation interval which is 2 N × 2 N times longer than that of conventional full array access mode. The extension of refresh operation interval is proved by the data retention time of 2 N cells/bit memory cell.
In order to reduce the EMI and to improve the efficiency of a Matrix Converter (MC), the auxiliary resonant commutated pole (ARCP) method, a variation of the soft switching technology, is applied to a MC and ARCPMC ha...
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In order to reduce the EMI and to improve the efficiency of a Matrix Converter (MC), the auxiliary resonant commutated pole (ARCP) method, a variation of the soft switching technology, is applied to a MC and ARCPMC has been proposed. The ARCP soft switching technology is able to reduce the switching loss of main switches. This paper aims to clarity the switching and conduction losses of main switches and auxiliary switches. And also, those losses characteristics are compared with the loss of conventional MC.
This paper describes an approach to realize precision and quick position control for Switched Reluctance Motor (SRM). But the magnetic nonlinearity of SRM makes the torque and current control complex and unstable. How...
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ISBN:
(纸本)9781467317900
This paper describes an approach to realize precision and quick position control for Switched Reluctance Motor (SRM). But the magnetic nonlinearity of SRM makes the torque and current control complex and unstable. However, with regard to the high torque and rapid response, SRM has the potential to achieve higher performance. The proposed position control system has the torque controller which considers the magnetic nonlinearity and manufacturing flaw. In the torque controller, the reference current is calculated using the look-up tables tabulated by measured torque characteristics. The experimental results show that the proposed method has the position control capability at arbitrary rotor position.
The firefly algorithm (FA) is a new population-based metaheuristic bioinspired on the behavior of the flashing characteristics of fireflies. As a population-based algorithm, the FA suffers from large execution times s...
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The wavelength dependence of SiNx:H/Si interface defect generation caused by vacuum ultraviolet (VUV)/UV radiation from plasma etching processes was investigated. VUV radiation (λ x:H/Si interface, since all the radi...
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We propose a multiscale, dictionary-based, data-adaptive estimation method to recover intensities from multiplicative, speckle data. The proposed method preserves the edges and textures in the underlying image while s...
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Development of more sophisticated implantable brain-machine interface (BMI) will require both interpretation of the neurophysiological data being measured and subsequent determination of signals to be delivered back t...
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Development of more sophisticated implantable brain-machine interface (BMI) will require both interpretation of the neurophysiological data being measured and subsequent determination of signals to be delivered back to the brain. Computational models are the heart of the machine of BMI and therefore an essential tool in both of these processes. One approach is to utilize brain biomimetic models (BMMs) to develop and instantiate these algorithms. These then must be connected as hybrid systems in order to interface the BMM with data acquisition devices and prosthetic devices. The combined system then provides a test bed for neuroprosthetic rehabilitative solutions and medical devices for the repair and enhancement of damaged brain. We propose here a computer network-based design for this purpose, detailing its internal modules and data flows. We describe a prototype implementation of the design, enabling interaction between the Plexon Multichannel Acquisition Processor (MAP) server, a commercial tool to collect signals from microelectrodes implanted in a live subject and a BMM, a NEURON-based model of sensorimotor cortex capable of controlling a virtual arm. The prototype implementation supports an online mode for real-time simulations, as well as an offline mode for data analysis and simulations without real-time constraints, and provides binning operations to discretize continuous input to the BMM and filtering operations for dealing with noise. Evaluation demonstrated that the implementation successfully delivered monkey spiking activity to the BMM through LAN environments, respecting real-time constraints.
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