The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
A feedback-based multilayer measurement matrix (FBMM) within compressive sensing (CS) framework is introduced. In CS, the restricted isometry property (RIP) condition of measurement matrix determines the reconstruction precision. The smaller coherence between measurement matrix and sparse dictionary, the better signal reconstruction performs. However, the construction of a small coherence measurement...
In the sparse Photoacoustic Microscopy system, a uniform random sampling scheme and low-rank matrix approximation-GoDec algorithm have been proposed for fast data acquisition and image recovery. However, this low-rank approximation algorithm leads to low resolution and fuzzy structure details. In this paper, the weighted Singular Value Thresholding algorithm is first applied in sparse PAM system to...
In this work, a fast shape searching face alignment (F-SSFA) algorithm based accelerator is proposed to achieve real-time processing. Firstly, a learning based low-dimensional SURF feature is introduced to reduce the computation cost in the cascaded regression. Then the Euclidean distance and shape affine transformation are utilized to accelerate the shape searching procedure. F-SSFA therefore greatly...
Device-to-Device (D2D) communication underlaying cellular networks is expected to bring significant benefits for resource utilization and cellular coverage. However, the resource allocation and power control needs elaborate coordination, otherwise it may cause severe interference between D2D user equipment (DUE) and cellular user equipment (CUE). In this paper, we study the joint radio resource allocation...
Multi-motor control system has been increasingly used in the mechanical and electrical drive system. The synchronous control is key need to solve for interrelated multi-motor to ensure their coordination work. Based on analyzing to some existed synchronized control strategies of interrelated multi-motor systems, a novel floating compensation control strategy is put forward in this paper to reduce...
The image editing method based on manifold preserving demonstrates its stunning effect, but with the size of the image increased, the time complexity make this method impractical. In this paper, we proposed a method improving manifold preserving image editing by separating the image into superpixels. Firstly, the image is divided into a set of superpixels. Secondly, a mean target color value is computed...
In the paper, we study how the theory of compressed sensing is applied in wireless sensor networks to capture sparse signals of interest. Traditional data collection and compressive data gathering separately use client/server paradigm and dense random matrix, leading high computation load and energy consumption. We adopt sparse binary matrix for the measurement matrix. A mobile agent based compressed...
This paper focuses on the concept of multi-path virtual concatenation as a key enabling technology to support the requirements of spectrum bandwidth of link mapping in the process of virtual network embedding (VNE). A dynamic VNE_MP algorithm for distributed data centers inter-connecting is proposed. Based on the multi-path virtual concatenation mechanisms, a virtual link is split into multiple smaller...
Currently, service characteristic is rarely considered in service processing for the optical network. In this paper, we introduce a novel service-basedscheme which will buffer and schedule services to optimize the blocking performance of flexi-grid optical network based on Software Defined Network (SDN). This scheme gives sufficient consideration to the diversity of services in SDN network. Besides,...
As the key of the prevalent prognostics and health management, remaining useful life prediction has attracted considerable attentions during the past decades. However, almost all of the existing remaining useful life prediction methods were implemented under the premise that the deteriorating systems were not maintained over the whole life cycle. For the deteriorating systems experiencing maintenance...
Breadth-First Search (BFS) is a basis for many graph traversal and analysis algorithms. In this paper, we present a direction-optimizing BFS implementation on CPU-GPU heterogeneous platforms to fully exploit the computing power of both the multi-core CPU and GPU. For each level of the BFS algorithm, we dynamically choose the best implementation from: a sequential top-down execution on CPU, a parallel...
Crater detection is a very critical step in the deep space exploration and the edge of crater is the main information in an image. This paper proposes a wavelet transform method, which is to decompose a chosen B-spline function and then reconstruct the function to filter out the high-frequency segment. Finally, Calculate the max modulus value and angle of the gradient, and the set of the max value...
The sparse signal recovery has been the subject of extensive research in several different communities. This paper analyzes the performance of orthogonal matching pursuit (OMP) algorithm in recovering magnitude decaying sparse signal in compressive sensing. A concept of Peak Signal Interference Ratio (PSIR) is defined which relates to the identification of atoms in OMP algorithm. Moreover, the relationship...
Imputation for missing data is an important task of data mining, which may influence the data mining result. In this paper, Missing Categorical Data Imputation Based on Similarity (MIBOS) is proposed to solve this problem. The algorithm defines a similarity model between objects with incomplete data, constructing the similarity matrix of objects and further gets the nearest undifferentiated object...
In this paper, we describe a novel error diffusion scheme for higher halftone quality with less visual artifacts. The proposed algorithm improves mid-tone quality of error diffusion significantly by diffusing the error along a jumping scanning path. The algorithm calculates the accumulative error to determine the point where breaks up the scanning path. A cost function is developed to search the optimal...
Planning of the mobile robot is one of the core research areas which is complex, binding and non-linear. Ant colony algorithm is an intelligent optimization algorithm developed in recent years. Aiming at the problems of the ant colony algorithm such as slow convergence speed and long computation cycle, in order to improve the efficiency of route planning, proposed using improved ant colony algorithm...
In CBR system, the case base is becoming increasingly larger with the incremental learning which results in the decline of case retrieval efficiency and its weaker performance. Aiming at such weakness of CBR system, this article proposes a novel case retrieval method based on Hybrid Ant-Fish Clustering Algorithm (HA-FC). At beginning of algorithm, we get rough cluster sets utilizing the advantage...
Recently, EEG-based technology has become more popular in “serious” games designs and developments since new wireless headsets that meet consumer demand for wear ability, price, portability and ease-of-use are coming to the market. Originally, EEG-based technologies were used in neurofeedback games and brain-computer interfaces. Now, such technologies could be used in entertainment, e-learning and...
Climate is a nonlinear system, and the BP neural network algorithm or the Support Vector Machine (SVM) algorithm which is superior in dealing with nonlinear problems is usually used in the climate forecast. Meanwhile, the climatic time series also include nonstationary feature, so this paper introduces a new method of signal processing-the Empirical Mode Decomposition (EMD) algorithm for making climatic...
The PANDA detector is a state-of-the-art general-purpose detector for physics with high luminosity cooled antiproton beams, planed to operate at the FAIR facility in Darmstadt, Germany. The central detector includes a silicon Micro Vertex Detector (MVD) and a Straw Tube Tracker (STT) or Time Projection Chamber (TPC). The electromagnetic lead tungstate calorimeter(EMC) provides almost 4π spatial coverage,...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.