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First, according to characteristics of mobile social environment, by using optimization models based on similarity degree and interaction degree respectively, the optimal correlated users can be selected for analyzing two main factors of a target user's behaviors (i.e. long-term habits and short-term influences); furthermore, an adaptive update strategy based on fuzzy theory is proposed to describe...
The Prophet routing algorithm is a multi-copy algorithm which is based on historical information and transitive probability, which selects the relay node with a high probability to encounter the destination node. However, the selection of a relay node does not consider the current congestion level of node. Even if the current relay node has a high delivery probability to the destination node, it may...
In this paper, we present a theoretical and experimental study about the carrying capacity of flight dielectric elastomer (DE) balloon in electromechanical performance. This paper deals with some structures which are consist of helium balloons or air balloons based on theoretical analysis. We compared the two kinds of gas balloons at the same initial pressure, air and helium, there was no great difference...
A new device architecture of micro thermoelectric generator (μ-TEG) is proposed. The μ-TEG utilizes silicon nanowires as the thermoelectric (TE) material, and it can be fabricated by the CMOS-compatible process. It is driven by an “evanescent thermal field” exuding around a heat flow perpendicular to the substrate. We demonstrate experimentally that the TE power increases in the shorter TE leg lengths...
To reduce the vibration and the hurt on operation person produced by power tools, a new mechanism, namely magnetic impact mechanism in power tool, was proposed. Firstly, the common structure of power tools is analyzed, and the strengths and weaknesses of two forms of power tools are shown. Secondly, according to design requirements of power tools, a novel of magnetic impact mechanism is designed based...
Based on an electromagnetic band-gap (EBG) structure, the compact four-element MIMO antenna are proposed for 2.4 GHz band application, with antenna area of 0.72 × 0.72 λ2 and high isolation level of −15 dB. To isolate the four elements in compact space, a concentric square ring mushroom EBG (CSR-EBG) which reduce cell size by 45% in comparison to the conventional EBG is designed. The effective arrangement...
In this paper, a dual-orthogonal polarized Vivaldi antenna with high port isolation is presented. The dual-polarized antenna structure is achieved by inserting two orthogonal Vivaldi antennas in a cross-shaped form without a galvanic contact. To satisfy the low-end bandwidth requirements and improve the radiation characteristics in the lower frequencies, a novel exponential tapered slot edge (ETSE)...
This paper reports that the stable self-limited profile can be characterized by the inflection points on etch rate curve of crystal orientation zone from the etched hemisphere experiment, which is different from the method based on searching local minimal and maximal etch rates on cross section plane in previous study. A recognition process is developed to obtain inflection points from the hemisphere...
The phase noise behavior due to flicker noise of an oscillator has not been modeled accurately by a time domain behavioral model. In this paper, the mathematical foundation to model the up-converted flicker noise region of the phase noise is discussed and derived in detail. Based on the foundation, we present a time domain behavioral model of the oscillator and implement it in Simulink. Comparisons...
SPOC (Small Private Online Course) is a kind of typical course form in Post-MOOC Era. It upgrades the learning effect by decreasing the size of students scale and limiting course enrollment requirements. It is a perfect subsequent development and beyond for MOOC. This article firstly analyses the characteristics of the MOOC and SPOC, then we construct teaching model of computer foundation courses...
Network virtualization plays an important role in the development of the network because of its dynamics and flexibility on network infrastructure configuration. Virtual network mapping is the main method to realize the network virtualization. Most of the current virtual network mappings always allocate network resources in an exclusive and excessive way. For example, the entire bandwidth amount of...
Sparse Representation-based Classifier (SRC) is less sensitive to the shortage of data and the selection of feature space. In this paper, SRC is adopted to perform automatic analysis of tongue substance color and coating color which is considered as small dataset classification task. Firstly, for both training samples and testing samples, the tongue body regions are segmented, the regions of tongue...
DTNs overcome the problems associated with intermittent connectivity, long or variable delay, asymmetric data rates, and high error rates by using store-carry-forward message switching. In DTNs, a node is an entity with a bundle layer. A node may be a host, router, or gateway (or some combination) acting as a source, destination, or forwarder of bundles. In addition, the performance of node shows...
Based on the 0.15-wm GaAs pHEMT process, a 3–15 GHz ultra-wideband MMIC low noise amplifier is designed, fabricated and tested, which can be employed directly in the S/C/X/Ku-band heterodyne receivers or inside the IF module for millimeter and sub-millimeter wave receivers. The RC feedback network and source inductive degeneration topology have been used to achieve the desired RF characteristics like...
In mission critical IT services, system failure prediction becomes increasingly important; it prevents unexpected system downtime, and assures service reliability for end users. While operational console logs record rich and descriptive information on the health status of those IT systems, existing system management technologies mostly use them in a labor-intensive forensics approach, i.e., identifying...
Many geometric problems of interest to mathematical visualization applications involve changing structures requiring mathematical simulations, such as the moves that transform one knot into an equivalent knot. In this paper, we propose to explore a unique paradigm that makes use of self-deformable object models embedded in mathematical space, supplemented by energy-driven relaxation and user-defined...
For the single-user multi-terminal scenario, a novel user service behavior prediction and optimization algorithm is proposed in this paper, which can realize the accurate prediction of service requirements and optimal selection of service terminals, so as to improve user QoE effectively. Firstly, by using an adaptive feedback based weight correction method, a modified entropy weighted Markov model...
Deep Neural Networks (DNNs) beat the Gaussian Mixture Models (GMMs), and become the state-of-the-art techniques for acoustic model. Then various neural networks based acoustic models are proposed to make the speech recognition systems better and better. However these successes are not adopted in the researches of Mongolian speech recognition. This study fills in this gap. We study a series of neural...
Transfer learning aims to extract the knowledge from a label-rich source domain to enhance the predictive model of a target domain. Previous methods achieve knowledge transfer by detecting a shared low-dimensional feature representation from source domain to target domain. Along this line, many algorithms, e.g., dual transfer learning (DTL), triplex transfer learning (TRi-TL) etc., have been proposed...
With the rapid development of online social media, the short text has become the prevalent format for information of Internet. Due to the severe data sparsity issue, accurately discovering knowledge behind these short texts remains a critical challenge. Since regular topic models, such as the Latent Dirichlet Allocation (LDA), can not perform well on short texts, many efforts have been put on building...
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