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With the aging society, increasing personal health devices (PHDs) have been produced with different data transmission methods and packets. IEEE 11073 was drafted to tackle this difference. Conjunction with a number of transport technologies, 11073 protocol-suite were selected by Continua alliance to promote the standardization of personal health devices. In this paper, a data acquisition system based...
In the past decade, online news consumption has been steadily growing. New articles are published every few minutes, and user preferences are also constantly changing. Traditional recommender systems update model at regular intervals, which cannot adjust recommendation list dynamically according to the changes of user preferences. In this paper, we propose a hybrid recommendation model which contains...
Sample quality plays an important role in tracking-by-learning strategies, but the reliable online samples are hard to be obtained due to challenges of variational environments. By modeling how human visual interest actively guiding the seek of salient regions and movements in video sequences, in this paper, a compositional tracking strategy is proposed based on an integrated saliency map, which is...
Using the Briggs-Bers criterion, we find that the lower band edge of linear beam TWTs is not subjected to absolute instability. At the upper band edge, we find a threshold beam current beyond which absolute instability is excited. In general, an absolute instability would occur in a linear beam tube if the cold-tube circuit dispersion curve in the frequency-wavenumber (ω-k) plane is locally convex...
Shear induced platelet activation is the major cause of thrombus formation in cardiovascular diseases and prosthetic devices. A novel multiscale modeling approach based on discrete particle methods permits the investigation of such complex phenomena by coupling the macroscopic flow conditions with the cellular and molecular effects of platelet activation. However, such a modeling approach poses a...
In recent years, polymer flooding has become a mature technology to improve the reservoir recovery rate and has been successfully implemented in many oil fields. Because of high operating costs of a polymer flooding project and the impact to the environment, the polymer injected per unit volume should be tracked for each polymer flooding pattern. Hence, the full-field reservoir simulations with fine-scale...
This paper presents our work on simulation of large-scale black oil models on parallel computers. An in-house platform has been developed and a black oil simulator has been implemented based on this platform, which can handle the standard black oil model and oil-water model. Numerical methods and a new parallel preconditioner are introduced. The simulator uses MPI for communication among computation...
There is an urgent demand in studying efficient methodologies to enable hybrid multi- and many-core accelerations in global climate simulations. The Model for Prediction Across Scales (MPAS) is a family of earth-system component models that receives increasingly more attention. Like many other models, MPAS, though features some emerging numerical algorithms, employs a pure MPI approach for parallel...
Visual object tracking is a fundamental research topic in computer vision. In this paper, we proposed a novel hybrid tracking method based on Pulse Coupled Neural Network (PCNN) and Multiple Instance Learning (MIL). Most modern trackers may be inaccurate when the training samples are imprecise which causes drift. To resolve these problems, MIL method is introduced into the tracking task, which can...
Max-margin matrix factorization (M3F) has been popularly applied to collaborative filtering for personalized recommendations. The nonparametric M3F model represents the latest progress of the M3F methods, which can auto-select the number of factors by using nonparametric techniques. However, existing non-parametric M3F methods assume a collection of user rating data can be fully obtained before training,...
In this study, we use the variance based sensitivity method to analyze the sensitivities of the row crop model's input parameters. This method consists of three steps: sample generation, model execution and the calculation of sensitivity indices. The results of sensitivity analysis of row crop model's input parameters indicate that the sensitivities of the row model's parameters are different under...
We present in the paper the design of a hardware-in-the-loop simulation framework and its actual implementation on imitating cable orientation control system of a helicopter. Real-time hardware-in-the-loop simulation is one of the most effective methods for the verification of the performance and reliability of the cable orientation control law before conducting actual flight tests. In our proposed...
Influence maximization, defined as finding a small subset of nodes that maximizes spread of influence in social networks, is NP-hard under both Linear Threshold (LT) and Independent Cascade (IC) models, where a line of greedy/heuristic algorithms have been proposed. The simple greedy algorithm [14] achieves an approximation ratio of 1-1/e. The advanced CELF algorithm [16], by exploiting the sub modular...
With the rapid proliferation of diverse online social network sites, user recommendation has been received unprecedented attention. At present, the methods for user recommendation are mainly divided into two categories: recommending a new friend for a target user according to similar interest, or by friendships similarity between the two users. The first category methods have high recall but low precision,...
Behavioral targeting (BT) is a valuable tool for online advertising. In this paper, we study a new problem of incorporating social information into traditional behavior targeting models. Specifically, we present a social regularization based Poisson regression framework for behavior targeting. Based on the observation that social information can be diverse and competing, we furthermore present two...
Visual attention is useful for computer vision and it has been applied in image compression and object recognition. In existing methods on saliency detection, most of them are unrelated to the depth feature. So we propose a bottom-up saliency detection model that combines the depth feature with region contrast based saliency model and the precision and recall rate of our algorithm is higher than those...
While end-users enjoy the data service mashup with high convenience and flexibility, how to achieve the best performance with minimum maintenance cost is a challenging problem. In this paper, the data maintenance problem is analyzed, and the maintenance cost model for the data service mashup is built. The model measures the response cost and update cost of a group of data service mashups in terms...
As to the research on AspectJ in this context, after analyzing the Java program, AspectJ can realize the capture of the join points based on the Boolean or Compound expression in the Java program. The information includes: the time to judge the runtime condition of each join point as “true” use of the logic AND (&&) to combine pointcuts; and use of the logic OR (‖) to combine pointcuts; all...
In this paper, we present a novel circle covering algorithm for the problem of locating repeaters when users in a certain area need to be covered. A fundamental issue is the circle covering problem, where "single-layer covering" equals "covered". However, single-layer is not applicable anymore for the covering of repeaters, because the service capacity of a single repeater is so...
A two-dimensional Multi-Resolution Time-Domain iterative formula based on the basis function of compactly supported wavelet is derived, and a basis function selectable electromagnetic scattering forward model is established according to the derived formula. By calculating the electromagnetic fields of target scattering object, the simulation results show that the proposed model has the advantages...
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