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In this paper, we propose a discriminative low-rank dictionary learning algorithm for sparse representation. Sparse representation seeks the sparsest coefficients to represent the test signal as linear combination of the bases in an over-complete dictionary. Motivated by low-rank matrix recovery and completion, assume that the data from the same pattern are linearly correlated, if we stack these data...
Reconstruction- and example-based super-resolution (SR) methods are promising for restoring a high-resolution (HR) image from low-resolution (LR) image(s). Under large magnification, reconstruction-based methods usually fail to hallucinate visual details while example-based methods sometimes introduce unexpected details. Given a generic LR image, to reconstruct a photo-realistic SR image and to suppress...
This paper provides an alternative of improvised formula for determining qibla direction using vector algebra. The proposed method using vector algebra formula are given in details was compared with the existing method using spherical trigonometry. Then, result shows that the proposed method is accurate and easy to understand because does not require high mathematical knowledge.
In this paper, a rotation-aware motion compensation method for wide and fixed field-of-view(FOV) image sequences is presented. Most predictive models of conventional video compression standards such as translational motion models perform well for narrow FOV cameras like television cameras but not for wide FOV cameras. Therefore the image quality of rotationally moving scenes are significantly degraded...
The modulation of a metallic microwave-scale Mach-Zehnder interferometer (MZI) coupled to a dielectric resonator (DR) may be used to tune the resonance frequency of the latter. In this paper, we report on a theoretical study to develop an understanding of the intrinsic tuning properties of an MZI Ring-DR-Microstrip line system and, for the first time, present an experimental verification of the concept.
Cloud broker is an entity that manages the use, performance and delivery of cloud services and negotiates relationships between cloud providers and cloud consumers. In real life scenarios, automated cloud service brokering is often challenging because the service descriptions may involve complex constraints and require flexible semantic matching. Furthermore, cloud providers often use non-standard...
This paper explores the issues with mapping termination in Grammatical Evolution, and examines approaches that can be used to minimise them. It analyses the traditional approach of reusing the same genetic material, known as wrapping, and shows why this is inefficient with some grammars used in the literature. It suggests the appending of non-coding genetic material to genotype strings, at the start...
Consider a system in which the signal is transmitted from the source to the destination via an amplify-and-forward relay. For such a system, we derive in this paper, novel receivers that have complete knowledge of either the source-relay link or the relay-destination link. These receivers are termed as, ‘half-coherent receivers’ as they have channel-state-information (CSI) of only one of two links...
Spectral response systems measure how devices respond to narrow bands of irradiance. The main reason to measure spectral response is to use it as a tool to understand the performance of the solar cell. In this study, changes in spectral response due to temperature are studied with and without bias lights. At wavelengths greater than 1000 nm, crystalline silicon cells showed a slight broadening of...
This paper investigates the use of full duplex relaying (FDR) in cognitive radio systems. Cognitive FDR systems offer the advantage not only of increasing spectral efficiency by spectrum sharing but also of extending the coverage through the use of relays. Concurrent transmissions at the source and relay in FDR systems can overcome a loss of resource efficiency in a way that conventional half duplex...
The low resolution of images has been one of the major limitations in recognising humans from a distance using their biometric traits, such as face and iris. Superresolution has been employed to improve the resolution and the recognition performance simultaneously, however the majority of techniques employed operate in the pixel domain, such that the biometric feature vectors are extracted from a...
Constructing a good graph to represent data structures is critical for many important machine learning tasks such as clustering and classification. This paper proposes a novel non-negative low-rank and sparse (NNLRS) graph for semi-supervised learning. The weights of edges in the graph are obtained by seeking a nonnegative low-rank and sparse matrix that represents each data sample as a linear combination...
The choice of the over-complete dictionary that sparsely represents data is of prime importance for sparse coding-based image super-resolution. Sparse coding is a typical unsupervised learning method to generate an over-complete dictionary. However, most of the sparse coding methods for image super-resolution fail to simultaneously consider the geometrical structure of the dictionary and corresponding...
Representative data in terms of a set of selected samples is of interest for various machine learning applications, e.g. dimensionality reduction and classification. The best-known techniques probably still are k-Nearest Neighbors (kNN) and its variants. Recently, richer representations have become popular. Examples are methods based on l1-regularized least squares (Sparse Representation (SR)) or...
Today no insurmountable obstacles are foreseen inhibiting scaling logic devices to the 10nm node. Cost effective processes and equipment sets have been developed that allow both 3-D Tri-Gate and Ultra-Thin Body SOI integration schemes to be scaled. This allows the equipment industry to focus on innovations of new material and their integration into cost effective tool sets in time for high volume...
Designing a service system requires the model-driven transformation from business-level service models into IT-level software systems. Service Value Network (SVN) that describes the value exchange relationships between multiple participants, is considered as a useful tool to facilitate the service innovation and guide the designing of software service systems. In this paper, we present a general approach...
The buck converter is an electronic device widely used in power electric applications. This converter has a nonlinear performance in consequence of the switching transistor effects which it uses. Implement a classic controller for this converter results very complex. Hence, fuzzy controllers are used to obtain a better steady state performance of the system. This paper presents a multi-objective optimization...
In this paper, we evaluate the throughput for cooperative truncated hybrid automatic repeat request HARQ protocols with opportunistic relaying. Theoretical expressions of packet error rate and the throughput of truncated ARQ and hybrid ARQ I (HARQI) are derived. Results are valid for both amplify and forward (AF) and decode and forward (DF) over Rayleigh fading channel. In our analysis, we have used...
Super resolution (SR) image reconstruction is used to obtain a high resolution (HR) image from multiple low resolution (LR) images. In this paper, we propose a new method to solve the SR reconstruction problem. The LR images are modeled as downsampled images of the original scene shifted by sub-pixel distances. In addition, we model the downsampling process as averaging light intensity on the corresponding...
The paper deals with research of the ways of efficiency increase of proposed hard switching full bridge converter which is suited for electroplating. The main circuit is designed as standard full bridge converter with IGBT transistors, whose switching frequency is 17 kHz. Main attention of optimization of power stage is focused on configuration of output, secondary side rectifier, which is designed...
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