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The rapid development of IT enables manufacturing enterprises to quickly access market terminals and adjust their products and services to enhance the competitiveness of enterprises. This requires manufacturing enterprises to change existing innovation organizational structure based on the features of service innovation. Firstly, this article defined the concept of innovation organization in service-enhanced...
Despite numerous recent studies and exciting discoveries in the field, only limited treatment is available today for the victims of acute neurological injuries. Animal Models of Acute Neurological Injuries provides a standardized methodology manual designed to eliminate the inconsistent preparations and variability that currently jeopardizes advances in the field. Contributed by top experts and...
The fast direct solver based on skeletonization is extended to the method of moments (MoM) solution of volume integral equations (VIE). The impedance matrix is approximated by the hierarchical data sparse representation through skeletonization. The inverse matrix is then implicitly computed. Numerical experiments are conducted to study the performance of the direct solver.
Tropical cyclones are perhaps the most devastating of all natural disasters and the vulnerability to tropical cyclones is becoming more pronounced because of high population growth rates in the tropical and subtropical coastal regions. Tropical cyclones cause a range of destruction in the coastal areas. Various features of tropical cyclones affecting China and their impacts on lowland agriculture...
In binaural sound image rendering applications, it is very important to display virtual sound source out-of-head. However, the traditional methods depending only on the Head Related Transfer Functions (HRTFs) always result in a feeling that virtual sound source is located inside the listener's head. In this paper, a real-time binaural sound image rendering system is built, which involves several important...
Humidity sensors have attracted extensive attentions due to their various applications in environment monitoring, health care and internet of things. Graphene oxide has recently been exploited as a humidity sensing material because of its good hydrophilicity and excellent sensitivity. Here we report an ultra-sensitive and responsive capacitive humidity sensor using graphene oxide as sensing material...
In our daily life, anomalies are everywhere in various application domains. Most anomalies may cause huge losses if we fail to detect them in advance. A lot of researches on this field have been carried out for years so as to detect anomalies as soon as possible. Among them, machine learning is one of the most used techniques. Previous work tries to improve detection by choosing various classifiers,...
The physics field coupling problem of submersible motor is studied in the paper. The influence of the magnetic isolated segment on the performance of the motor is fully considered, and the Electromagnetism-Temperature-Force coupling model is established; the rated parameters of the Electromagnetism-Temperature-Force can be solved. The influence law of magnetic isolated segment size on eddy loss, temperature...
Aiming at the special oil circulation system in the submersible motor, a heat transfer model of the global fluid field based on partition decoupling is established. In this paper, the repetition of fluid field along the axial direction is considered, and the relationship between the velocity and the pressure of the motor inner fluid are researched. Combined with the theory of computational fluid dynamics...
Parameter selection in particle swarm optimization algorithm had great influence on its performance. This study presented a method of parameter optimization for the particle swarm optimization algorithm based on Stochastic multi-objective optimization. Based on the analysis of the relationship of inertia weight, cognitive coefficient and social coefficient, a stochastic convergence speed index function...
Article based on the topological structure of power optical communication system, analyzes the main factors that affect the reliability of optical transmission equipment and optical fiber links, and consider the bearer of the electric power business of importance weights. At the same time, a kind of electric power communication business route evaluation model and risk calculation method is proposed,...
Data fragment classification is an important problem in many fields, such as intrusion detection, reverse engineering, data recovery, digital forensics and so on. Most of the existing methods try to classify the fragment depending on file type. But the results are poor, because compound file types can contain many other file types, and some file types use the similar data encoding scheme. In this...
After over 130 years of development, Chinese Braille has become a commonly used writing and learning tool for blind people in the modern society. There exists a phenomenon of general resemblance with minor differences in writing of Braille and researches on Braille are also at the initial stage. Construction of a systematic Braille corpus which can reflect complete facts and entirety of Braille based...
In order to explore the efficient THz emitter with GaAs photoconductive semiconductor switch (PCSS), it's necessary to achieve the suppression of high gain mode in high electric field. The infrared activation and inhibition of high field domains is achieved and the good hold-off characteristics is obtained with 32 kV.
The link capacity of ground mobile nodes varies dramatically and is often under the required quality level due to limited communication range and signal blocking of terrain. To improve the link capacity of ground mobile nodes, Unmanned Aerial Vehicles (UAVs) have emerged as relay platforms. By establishing a communication relay chain between ground mobile nodes, UAVs can provide required communication...
The network traffic classification is one of the most fundamental work in the network measurement and management, and this problem is more and more impact as the network scale grows. Many methods are proposed by researchers, but methods based on flow statistics seem more popular than the others. In this paper, we proposed a novel method based on refined flow statistical features. The new statistics,...
With the cloud storage services, users can easily form a group and share data with each other. Given the fact that the cloud is not trustable, users need to compute signatures for blocks of the shared data to allow public integrity auditing. Once a user is revoked from the group, the blocks that were previously signed by this revoked user must be re-signed by an existing user, which may result in...
A new family of two-dimensional optical orthogonal code with zero cross-correlation zone (2-D ZCZ) is constructed, using primary LA sequence for time spreading and OCS (one-coincidence sequence) for wavelength hopping. Performances of autocorrelation and cross-correlation of 2-D ZCZ are analyzed. BER performance of two-dimensional OCDMA system is also analyzed.
The direct solver based on skeletonization consists of two stages: selecting skeletons and computing the inverse matrix. The selection of skeletons can be expensive although Huygens' principle is employed to avoid filling in the complete impedance matrix. A fast matrix filling strategy is proposed to alleviate the difficulty by making use of Taylor series. Numerical experiments indicate the proposed...
We propose three regularization techniques to overcome drawbacks of local winner-take-all methods used in deep convolutional networks. Channel-Max inherits the max activation unit from Maxout networks, but otherwise adopts complementary subsets of input and filters with different kernel sizes as better companions to the max function. To balance the training on different pathways, Channel-Drop is employed...
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