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In the paper, we propose an effective long-term real-time tracking method to address the problem of robustness and tracking failure in visual tracking with UAVs. Most existing trackers only consider short-term tracking, therefore are unable to cope with partial and complete occlusion, which finally leads to object drifting or loss. Our method still follows the tracking-by-detection framework. However,...
In recent years, time-series data have emerged in a variety of application domains, such as wireless sensor networks and surveillance systems. To identify the similarity between time-series data, the Euclidean distance and its variations are common metrics that quantify the differences between time-series data. However, the Euclidean distances are limited by its inability to elastically shift with...
Vegetation net primary productivity (NPP) has a great impact on terrestrial carbon cycle, which is an important index to determine the size of vegetation productivity and regulate ecological processes. In this paper, the urban with high spatial heterogeneity was selected as the research background, and the urban vegetation of Xuzhou was selected as the research object, then Landsat remote sensing...
Recently convolutional neural networks (CNNs) have essentially reached the state-of-the-art accuracies in image classification and recognition. CNNs are usually deployed in server side or cloud to handle tasks collected from mobile devices, such as smartphones, wearable devices, unmanned systems and so on. However, significant data transmission overhead and privacy issues have made it necessary to...
A variety of applications (App) installed on mobile systems such as smartphones enrich our lives, but make it more difficult to the system management. For example, finding the specific Apps becomes more inconvenient due to more Apps installed on smartphones, and App response time could become longer because of the gap between more, larger Apps and limited memory capacity. Recent work has proposed...
The study of species habitat selection mechanism and spatial distribution prediction has important guiding significance for the conservation and maintenance of endangered species. In this study, the “3S” technology was used to obtain the ground survey data and ecological driving factors. Then the differences and correlations among the ecological driving factors were analyzed. The binary logistic regression...
The electric vehicle power battery recombination need to consider the consistency of battery cells. Therefore, the objective and accurate evaluation of battery cells performance has become an important prerequisite. Considering multiple factors affecting battery consistency, the synthesized evaluation model is present to solve the matching problem of battery cells. Finally, case analyses illustrate...
In general the steelmaking-continuous casting production scheduling process can't be carried out according to a pre-generated dispatch plan due to changes in factors such as changes in orders, delays in charge arrival time, machine failures in processing time. In this paper, a new concept “Steelmaking — Continuous Casting Production Scheduling System Based on Virtual Real Fusion” (SCCVRS) was proposed...
An underground wireless attendance system is designed based on radio frequency identification and wireless sensor network technology. The advantages of wireless sensor network have been applied in the attendance system, mainly solving the problems of wiring complexity and error-prone information collection, among other issues in the current attendance system. This system consists of radio frequency...
After coal mine gas explosion and other accidents, rapid rescue is an important task to reduce casualties. The use of robots through the rescue channel to quickly enter the post-disaster mine search for trapped miners is currently used as a method. In the search for trapped miners, we use voice recognition to search for trapped miners, but the post-disaster mine environment is complex. Various noise...
Click-baits are headlines that exaggerate the facts or hide the partial facts to attract user clicks. Click-baits deter readers from effectively and efficiently obtaining information in the era of information explosion, and will obviously affect user experience in news aggregator sites like Google News and Yahoo News. Detecting and preventing click-baits become crucial. Previous work achieved remarkable...
As mobile social network has become an important component of people's daily life, it poses a significant challenge on knowledge workers' limited attention. However, studies on how mobile social network affects knowledge workers' attention management are lagging. In this research-in-progress, we attempt to fill the research gap by developing a research model to understand the underlying mechanism...
This paper proposes a position detection approach to achieve the sensorless control of the planar switched reluctance motor (PSRM) using the current injection method. The mechanical structure and mathematical model of the PSRM are first given. The principle of the sinusoidal current injection method is then clarified to detect the position of the sensorless PSRM. Furthermore, the selection of the...
As being used in a phosphor converted white LED (pc-white LED), the phosphor powders are always mixed with silicone for the color conversion of LED blue chip. Therefore, phosphor dispersion in the phosphor/silicone composite is regarded as a critical factor for optical characteristics of pc-white LEDs. In this paper, effects of the phosphor dispersion on the spectra, luminous efficacies and color...
Frequent-pattern mining is a common means to reveal the hidden trends behind data. However, most frequent-pattern mining algorithms are designed for DRAM, instead of the energy-economic nonvolatile memories (NVMs). Due to the huge differences between the characteristics of NVMs and those of DRAM, existing frequent-pattern mining algorithms suffer from serious overheads of write amplification or energy...
This paper proposes a new algorithm for dense optical flow computation. It combines Gabor filter texture description in a variational framework. The textural features with spatial Gabor filter group are used as an extension to the original bright constant model. The corresponding global energy functional is established, and the flow field at each pixel of the image is iteratively computed by solving...
In this paper, a novel triple reduced surface field (RESURF) LDMOS with N-top layer based on substrate termination technology (STT) is proposed. The analytical models of surface potential, surface electric field, breakdown voltage (BV) and optimal integrated charge of N-top layer (Qntop) for the novel triple RESURF LDMOS are achieved. Furthermore, STT is applied to avoid the premature avalanche breakdown...
Lekhniskii theory is extended to the researches on one-dimensional piezoelectric quasicrystals. Considering the quasicrystals with a single crack subjected to uniform loads at infinity, the field intensity factors and strain energy release rate are obtained. The weight function is derived when the point forces are applied near the crack tip. The field intensity factors of piezoelectric quasicrystals...
It is a significant problem to efficiently identifythe frequently-occurring patterns in a given dataset, so as tounveil the trends hidden behind the dataset. This work ismotivated by the serious demands of a high-performance inmemoryfrequent-pattern mining strategy, with joint optimizationover the mining performance and system durability. While thewidely-used frequent-pattern tree (FP-tree) serves...
The previous numerical matching method can't apply in the whole angle space (0° ≪ β0 ≪ 90°) whether only based on the normal incidence case nor based on grazing to the edge incidence case when solving the diffraction problem of the anisotropic impedance wedge at oblique incidence by plane wave. A revised numerical matching method (NMM) based on the framework of the uniform geometrical theory of diffraction(UTD)...
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