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Social networking sites such as Twitter and Facebook attracts millions of users across the world and their interaction with social networking has affected their life. This popularity in social networking has led to different problems including the possibility of exposing incorrect information to their users through fake accounts which results to the spread of malicious content. This situation can...
Finding candidate genes that could cause specific diseases has been the subject of many studies. This is an important research task, however in the biological experimentation domain it can be very expensive and time consuming. So an alternative way is to find gene expression values from partial measurements and try to predict the rest. By using computational methods, we can statistically estimate...
Processes showing an initial response that is opposite to the final steady-state are present in industrial applications. Control of such processes involves difficulties and recently researchers have started paying great attention to the control of such processes. This paper reports on deriving optimal tuning rules for controlling integrating processes with inverse response. Simple and optimal analytical...
We consider questions that arise from the intersection between theareas of approximation algorithms, subexponential-time algorithms, and fixed-parameter tractable algorithms. The questions, which have been asked several times (e.g., [Marx, 2008; Fellow et al., 2012; Downey & Fellow 2013]) are whether there is a non-trivial FPT-approximation algorithm for the Maximum Clique (Clique) and Minimum...
This work presents a new Finite Control Set Model Predictive Control (FCS-MPC) strategy based on an input reference tracking. The control structure admits a closed-loop representation featuring a linear dynamic and a perturbation term. Thus, the stability and the design process can be carried out by means of standard control methods. Besides, it reduces the computational burden because the minimization...
Bipolar DC system provides flexible connection and decreased line-to-ground voltage level at the expense of potential voltage unbalance between positive pole and negative pole. Voltage balancer works as “Dependent Voltage Source” to eliminate the unbalance voltage. It is a critical grid-forming component for bipolar system. Considering the need of system expansion and “N+1” redundancy design, bipolar...
In this paper, an effective method for minimizing a convex criterion is proposed to allow its application in solving inverse problems related to the X-ray tomography. Proximal algorithms associated to total variation regularization are used knowing that they have high quality to converge. The main objective is to obtain high quality reconstructed images. We applied this algorithm to non-destructive...
In this paper, we study the energy-efficient user access control (UAC) based on resource allocation (RA) in heterogeneous cellular networks (HCNs) with the required downlink data rate under non-ideal power amplifiers (PAs) and circuit power. It is proved that the energy consumption minimization is achieved when the typical user accesses only one base station (BS), while the other BSs remain in idle...
Method noise which is the difference between a noisy image and its denoised version, often contains image structure and detail information due to imperfect denoising. This paper analyzes the method noise and establishes a model to extract image information submerged in the method noise. Then the extracted image information is fed back to the denoised image to conduct the next denoising step. The whole...
In this paper, a novel autofocus imaging method is proposed to achieve high-resolution for inverse synthetic aperture radar (ISAR) in the compressive sensing (CS) framework. Firstly, we fomulate the ISAR CS imaging in a Multiple Measurement Vector (MMV) sparse optimization problem. Then, by utilizing the structure sparsity of ISAR image, i.e. row sparsity and column sparsity simutaneously, our method...
Quadratic minimization (QM) has been investigated for many years, which is generally supposed to be time-invariant and at the same level. Nevertheless, the QM which arises in practical applications, is usually time-varying and may be at the different levels. Different from general QM, a novel different-level time-varying QM (DLTVQM) is proposed and investigated in this paper. Firstly, the DLTVQM solving...
Using the matrix product state (MPS) representation of the recently proposed tensor ring (TR) decompositions, in this paper we propose a TR completion algorithm, which is an alternating minimization algorithm that alternates over the factors in the MPS representation. This development is motivated in part by the success of matrix completion algorithms that alternate over the (low-rank) factors. We...
Stereo matching is important in the area of computer vision and photogrammetry. We present a stereo matching algorithm to refine depth map by using stereo image pair. The reference image is segmented by using hill-climbing algorithm and Scale Invariant Feature Transform (SIFT) feature descriptor with Sum of Absolute Difference (SAD) local stereo matching is performed. Next, we extract a set of disparity...
Predictive control has recently emerged as a promising alternative to more traditional methods for the control and modulation of power converters. This paper presents an overview of predictive control techniques applied to matrix converters. The paper highlights that predictive control strategy is a promising alternative to conventional modulator based linear control for matrix converters due to its...
Reliable and efficient spectrum sensing through dynamic selection of a subset of spectrum sensors is studied. The problem of selecting K sensor measurements from a set of M potential sensors is considered where K
Software defined networking (SDN) has been proposed as a novel centralized architecture which is capable of offering flexible network management and user quality-of-service (QoS) guaranteed applications. The problem of controller placement in SDN, i.e., determining the locations of the controllers has received considerable attention in recent years. In this paper, we jointly consider the control plane...
In an iterative and incremental development environment software regression testing plays an important role; it helps to ensure the reliability in the building process of a software product. The optimization of a regression test depends on the size of the test suite to be executed. Regression testing helps to verify existing modifications (fixing bugs) or verify new features added to a software product...
As an emerging technology, software defined networking (SDN) allows flexible control of network devices and supports user applications with guaranteed quality of service (QoS). To achieve flow transmission between two non-adjacent switches in SDN, efficient routing algorithm should be designed. In this paper, we jointly consider route selection and flow allocation problem. To stress the service sensitivity...
Multi-channel methods for estimating the late reverberation power spectral density (PSD) generally assume that the reverberant PSD matrix can be decomposed as the sum of a rank-1 matrix and a scaled diffuse coherence matrix. To account for modeling or estimation errors in the estimated reverberant PSD matrix, in this paper we propose to decompose this matrix as the sum of a low rank (not necessarily...
Multi-power-mode designs have been widely used in industry for reducing the power consumption. However, in an ultra-low voltage design, a huge clock skew may occur among different power modes. The previous work has proposed a two-stage approach to eliminate this huge clock skew, but they do not consider the skew caused by the on-chip-variation (OCV) effects. In this paper, we propose an approach to...
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