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Contrast enhancement is one of the most crucial image processing steps for image quality control. Histogram equalization (HE) is a commonly used contrast-enhancement algorithm that stretches the image intensity histogram to enhance contrast indirectly. Because of its simplicity and efficiency, numerous contrast-enhancement methods based on HE have been proposed in recent years. However, although these...
With the development of the study on the electrospray ionization mass spectrometry, many new features have been added to modern protein mass spectra. To fit these new features, ProteinGoggle delivers the confident identification of proteoforms with new algorithm for in situ interpretation and database search of protein tandem mass spectra. To build the customized theoretical database of both proteins...
Recent nonvolatile flip-flops (nvFFs) enable the parallel movement of data locally between flip-flops (FFs) and nonvolatile memory (NVM) devices for faster system power off/on operations. The wide distribution and long period in NVM-write times of previous two-NVM-based nvFFs result in excessive store energy (Es) and over-write induced reliability degradation for NVM-write operations. This work proposes...
In order to improve the DC-bus voltage control performance and suppress the transient fluctuation of DC-bus voltage, a nonlinear disturbance observer (NDO) based DC-bus controller is proposed in this paper. The feed-forward compensation of active power disturbance is achieved by the proposed controller to reject the influence of parameter variations and the mismatched disturbance from the output terminals...
Particle swarm optimization (PSO) has been proven to be a simple yet effective algorithm for searching the optimal solutions of objective functions. The main advantage of PSO is its simplicity, but it easily gets stuck in local optima. In order to remain the original merit and raise its performance, a novel idea is proposed in this paper, which selects the best model of PSO based on the previous performance...
This paper proposed a new full automated detection algorithm for ultrasound follicle images. The proposed algorithm uses multiple concentric layers (MCL) technology, which is based on the presence of concentric layers surrounding a focal area in the follicle region. The algorithm experiment is based on three processes, which include image preprocessing, detection of focal areas and multiple concentric...
Genetic-fuzzy mining (GFM) was proposed to train fuzzy membership functions, thus enhancing the final solution quality. However, it is quite time-consuming because of frequent database scans for fitness evaluation. In this paper, we propose a parallel algorithm with MapReduce architecture to further speed up the genetic-fuzzy mining process. In the proposed approach, the master processor randomly...
The purpose of this research is to provide a puzzle-based framework to study how global and local information is interacted on human's visual perception during the decision making process. Since the Deep Convolutional Neural Networks (DCNN) has shown the state of the art performance in image classification and object detection, DCNN can output scores to reflect the level of global information, which...
On the basis of a traditional double closed-loop of speed and current control, an additional power closed-loop module with a varying frequency strategy in the commutation states is presented. The triple closed-loop control system can reduce the phase current ripple and torque ripple of the sensorless BLDC motor effectively. The output values which are observed by the disturbance observer (DOB) and...
Distributed detection with dependent observations is always a challenging problem. The problemof detectionwith shared information has many applications when sensors have overlapped measurements, e.g., when distributed detection is performed in a security system where sensors have overlapped coverages. For this shared information scenario, we investigate the distributed detection problem in parallel...
Cloud federation paradigm can help cloud providers (CPs) to overcome resource limitation during spikes in demand, by outsourcing requests to other CPs with idle resources in federation. In this paper, we consider a broker-based market where multiple CPs compete to lease multiple CPs with idle resources for request outsourcing. We propose an iterative double auction mechanism that ensures the efficient...
Wildfire severity is widely used for measuring the effects of wildfire interference on the environment and ecosystems. Taken Zhalong national natural reserve(NNR) as a case study, through the application of an index called differenced Normalized Burn Ratio(dNBR) to measure wildfire severity and other RS and GIS spatial analysis tools, the relationships between the wildfire severity and potential environmental...
Many fuzzy data mining approaches have been proposed for finding fuzzy association rules with the predefined minimum support from the give quantitative transactions. However, some comment problems of those approaches are that (1) a minimum support should be predefined, and it is hard to set the appropriate one, and (2) the derived rules usually expose common-sense knowledge which may not be interested...
In this paper, the bandwidth of channels is finite in a practical video compression and transmission system, down-sampling techniques are usually adopted to reduce the rate of bit stream in the transmitter before video compression. Thus the reconstructed frames need to be inserted into the video sequences as the missing frames in the receiver after video decompression. Based on traditional temporal...
The performance gap between the execution speed of security software and the amount of data to be processed is ever widening. A common solution is to close the performance gap through hardware implementation of security functions. However, continuously expanding signature databases have become a major impediment to achieving scalable hardware based pattern matching. Additionally, evolutionary rule...
Based on the analysis of AJAX technologies, smart client and web service features, a framework of client access performance optimization under concurrent access environment is proposed. The main idea is as follows: first combining traditional web access with AJAX techniques and implementing partial refresh to improve userpsilas experience effect; and then implement data caching and offline running...
Linear motion and out-of-focus blur often coexist in a surveillance system, which degrade the quality of acquired images and thus complicate the task of object recognition and event detection. In this work, we present a point spread function-based (PSF-based) approach considering fundamental characteristics of linear motion and out-of-focus blur based on geometric optics to restore coexisting motion...
Since items may have their own characteristics, different minimum support values and membership functions may be specified for different items. In this paper, an enhanced approach is proposed, which processes the items in a divide-and-conquer strategy. The approach is designed for finding minimum support values, membership functions, and fuzzy association rules. Possible solutions are evaluated by...
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