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Solving the global method of Weighted Least Squares (WLS) model in image filtering is both time- and memory-consuming. In this paper, we present an alternative approximation in a time- and memory- efficient manner which is denoted as Semi-Global Weighed Least Squares (SG-WLS). Instead of solving a large linear system, we propose to iteratively solve a sequence of subsystems which are one-dimensional...
Passive spectrum monitoring is important for network diagnosis and radio frequency management in spectrum-sharing wireless networks, i.e., cognitive radio network. Most of the related work focused on the sniffer-channel assignment problem, i.e, assigning proper operational channel to wireless sniffers with the aim of tracking and capturing the target signals or data packets. These approaches were...
Both channel and phase noise blind recover are proposed and demonstrated to recover the orthogonal-frequency-division-multiplexing (OFDM) signal without using any training symbols or pilot subcarriers in direct-detection optical OFDM. The proposed receivers can achieve similar performance compared to conventional OFDM receivers.
An implementable blood glucose estimation in computer is presented. In general, the existing effective approaches for measuring the blood glucose concentration are mainly based on blood test, which is painful for patient. Painless methods to obtain blood glucose concentration will dramatically improve the case. As one of the painless methods, this paper implements the blood glucose estimation with...
Converting a sentence to a meaningful vector representation has uses in many NLP tasks, however very few methods allow that representation to be restored to a human readable sentence. Being able to generate sentences from the vector representations demonstrates the level of information maintained by the embedding representation – in this case a simple sum of word embeddings. We introduce such a method...
Based on generating cutting method, we set up a mathematical model of the processing of non-involute beveloid gear by shaper cutter enveloping. By describing their coordinate relationships and kinematic constraint conditions, a non-involute beveloid tooth vector equation is obtained using vector transformation. Using the numerical calculation tool, the exterior features of two kinds of beveloid gears...
Binocular vision measurement technology is widely used in large object measurement, such as large hot forging. However, the traditional method cannot satisfy the requirement of the binocular measurement system in the workshop, which is complex and fast-paced processing. Therefore, an improved binocular measurement system for large hot forging calibration method is proposed in this paper. The binocular...
Wi-Fi signals have been typically acting as information carriers in modern communication system, but recent research has revealed their powerful capability in detecting and identifying various targets. With Wi-Fi, we can now "see" people's location, activity, and even hand gestures. In this paper, a new method of dynamic gesture recognition using Wi-Fi based on signal processing and machine...
In virtualized cloud computing environments, the memory resource is becoming the major bottleneck for limiting server consolidation degree of virtual machines. The fact that great amount of redundant cache pages exist in the consolidated virtual machines' disk cache, which we refer to as multi-caching problem, give us a chance to improve the efficiency of memory resource utilization. Previous scanning-based...
In order to find the optimal feature subset for target recognition in foliage environment, a novel feature selection method based on quantum genetic algorithm (QGA) is proposed in this paper. The real data used to identify the targets were collected by ultra-wideband (UWB) radar system. Support vector machine (SVM) classifier is adopted to evaluate the proposed algorithm. The experimental results...
Moving object tracking is one of the key technologies in video surveillance. Mean shift algorithm fails to track the moving object in complicated environment. In this paper, a new strategy is proposed to improve the tracking ability of mean shift algorithm, in which the contrast between object and background along with similarity evaluation are applied for generating and updating object model. To...
A vision-based enhanced PID control algorithm for the gap-flying-through problem using a low-cost multirotor platform is the main topic of this paper. We designed an image processing program to detect the target rectangle gap in each video frame captured by onboard camera of the drone. During the process, some manipulation such as dilate and erode are implemented to reduce the noise. To control the...
In cognitive radio networks, the available vacant frequency bands, referred to as spectrum holes, are usually discontinuous. Hence, it is hard to exploit these vacant frequency bands since the bandwidth of single one may not be able to meet the wide bandwidth requirement of secondary users (SUs). Spectrum aggregation (SA) enables SUs to access several discontinuous spectrum holes simultaneously to...
Dynamic spectrum sharing plays a critical role in cognitive radio for the efficient spectrum utilization. In this paper, we consider a cooperative spectrum leasing model, in which the primary user (PU) may lease part of its bandwidth to the secondary user (SU) in exchange for the cooperation to maximize its power saving, under the constraint that its target is guaranteed. In return, the SU can take...
Topic detection and tracking (TDT) is a hot issue in text processing, which allows people to efficiently access interesting information they need from large amounts of narrative reports, and obtain the cause of a certain event and its subsequent events. In this paper, event network instead of vector space model (VSM) is used to represent the contents of texts. Firstly, event networks are constructed...
Because of highly dynamics, openness and autonomy of grid, effective access control mechanism is required to guarantee secure resource sharing on it. To resolve such problem, reputation and risk are formalized based on cloud model theory in this paper firstly. Subsequently, risk-aware reputation inference, combination and evolvement algorithms are designed respectively. Simulation results show higher...
This paper presents a hardware simulation study for an MRO shop and highlights the reduction in process time due to the introduction of RFID technology. Use of this technology will not only result in less number of process steps, but also enable the operation planner to get real time updates on the location and processing of various components scattered within the workshop. Each RFID tag will store...
Cooperation spectrum sensing in cognitive radio networks has an analogy to a distributed decision in wireless sensor networks, where each sensor make local decision and those decision result are reported to a fusion center to give the final decision according to some fusion rules. In this paper the performance of cooperative spectrum sensing examines using new optimization strategy to find optimal...
Detection and tracking of lane marking is essential for driving safety and intelligent vehicle. In this paper, an algorithm is presented which allows detection and tracking of multiple lane markings. Edge points cue is used to detect the lane marking and a road orientation estimation method is used to delete the edge lines which are impossible attribute to lane markings. In order to select the candidate...
The special bistatic space based radar (BiSBR) system, which is composed of an illuminator on a geostationary satellite and a receiver on an airship, can be operated for area surveillance. It is anticipant for the realization of detection and tracking capabilities to moving targets that the high signal-to-noise ratio (SNR) is distributed uniformly in the theater area. In this paper, based on three...
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