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In order to extend the life of the Solid Oxide Fuel Cell system and maximize the performance of the stack, it is very important to study the fault diagnosis method of SOFC system. At First, this paper analyzes the phenomenon and mechanism of the blower fault and leakage fault for the SOFC system. At last, this paper introduce a method which uses the fault tree method to diagnose the external system...
Two characters, scale-free and hierarchical structure, are shown in lots of real systems all over the world. In this article, firstly, we build up a class of network models with hierarchical structure, denoted by Nh(t), and prove it to be scale-free. By computing average degrees, we find these network models are all sparse. Secondly, based on their special topological structure, we research analytically...
Many articles research network scale-free nature from the angle of the topology, this research from the angle of the dynamic equation of the scale-free of network. So far network operation, there is no exact definition, in this article we simply introduce several kinds of network operation. A class of network models, called the compound models, are constructed for understanding and comparing network...
Detecting layout hotspots is one of the key problems in physical verification flow. Although machine learning solutions show benefits over lithography simulation and pattern matching based methods, it is still hard to select a proper model for large scale problems and it is inevitable that performance degradation will occur. To overcome these issues, in this paper we develop a deep learning framework...
We report on pseudospin-mediated vortex phenomena arising from valley degree of freedom in photonic graphene. Topological charge flipping is observed by selective excitation of the two inequivalent valleys.
By inserting an intracavity DKDP slice with negative thermal lens effect into a single-frequency and frequency-doubled laser, the harmful effect of TGG is actively compensated and the highest output power of 30.2 W is achieved.
In order to make it easier to study the scale-free nature of the complex network, and to explore the topological structures of networks by mathematical methods. There are many successful mathematical methods shown in scale-free networks that are forming branches of mathematics and network science. We are motivated from the cumulative degree distribution and edge cumulative degree distribution of scale-free...
Many systems have been built for vertex-centric parallel graph processing. Based on the Bulk Synchronous Parallel (BSP) model, they execute user-defined operations at vertices iteratively and exchange information between vertices by messages. Even though the native BSP systems (e.g. Pregel and Giraph) execute the operations on vertices synchronously within an iteration, many other platforms (e.g....
In this paper, a new mode decision scheme is proposed for depth map coding in 3D-AVS. The novelty of the paper mainly contains the following two points. Firstly, an improved distortion estimation model of synthesized views is proposed. Secondly, for the mode decision of depth map coding, the distortion is represented to be the weighted sum of depth distortion and estimated distortion of the synthesized...
In the 3D extension of Audio Video Coding Standard (AVS), i.e. 3D-AVS, the Global Disparity Vector (GDV) derivation technique has been proposed to provide an estimation for Disparity Vector (DV) in inter-view prediction, where the GDV is generated by averaging all Disparity Vectors (DVs) in the latest previously coded frame. The prediction accuracy of GDV may be however limited by the lack of local...
Hydraulic pump is a key component of hydraulic system. Running state detection and faults diagnosis are of important significance to the reliability of whole hydraulic system. Based on the Wavelet Packet Decomposition (WPD) and Grey Relational Analysis (GRA) method, a fault diagnosis method utilizing vibration signal of the aero hydraulic pump has been proposed. By analyzing the characteristic of...
Tracking how correlated ideas flow within and across multiple social groups facilitates the understanding of the transfer of information, opinions, and thoughts on social media. In this paper, we present IdeaFlow, a visual analytics system for analyzing the lead-lag changes within and across pre-defined social groups regarding a specific set of correlated ideas, each of which is described by a set...
Multiple-partite networks exist in the real world, such as engineering constructions consisted of workers and machines. We build up random multiple-partite network models and show their topological properties by means of well-known methods appeared in the Barabási-Albert model. We find some new characters of the Barabási-Albert model and BA-type models, and show a connection between the degree distribution...
This paper proposes the optimal designs of both the rectified layer and the pooling layer of the convolutional neural network for a non-invasive blood glucose estimation system. The activation function of the neuron in the rectified layer is modelled by a high dimensional Gaussian function. The optimal design of the rectified layer becomes the optimal design of the parameters in the high dimensional...
As there is a rapid development of the wearable camera embed glasses in this decade and these wearable camera embed glasses are portable for the consumer uses, many image recognition systems are developed based on these wearable camera embed glasses. To perform the image recognition, a deep learning based convolution neural network is employed. Instead of using the conventional back propagation approach...
Forgery note recognition plays an important role in our daily life as the general public has an opportunity to receive the forgery notes. This paper proposes a big data and cloud based wearable forgery note recognition system. First, a wearable camera is employed for taking the note images. Then, the note images are sent to the cloud systems. There is a big data system in the cloud server. Image features...
Speech audio often encapsulates huge volumes of information which traditionally has been challenging to mine and analyse using automated methods. For example, call centres often handle many simultaneous telephone conversations between customers and call centre agents where, apart from relying on limited manual reporting by individual call centre agents, the content, themes and topics of the conversations...
This paper proposes a mobile based big data design patent image retrieval system via a deep learning approach. The images are represented via sparse vectors by a dictionary. The joint representation and dictionary design problem is formulated as a mixed L2 and Lp optimization problem. An iterative algorithm is employed for finding a locally optimal solution. Experimental results show that the retrieval...
Multiple networks, very often, are the consequences of some single networks under certain mechanism regular patterns, also, the composite networks. We focus on applying the concrete application of graph operation and enumerate the operation method in order to interpret and deal with the formulation of network composition and decomposition. Besides, we, also, mainly presents some network models obtained...
In order to interpret the dynamical nature of networks, one must realize the integrated features of network models as well as the partial characters, such as degree distribution. Hence, studying topological structure of complex networks is significant and raises scholar's concern at home and aboard. We focus on building up a type of edge-bound growing network model(E-BGN model) by construction algorithm...
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