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The node replica attack is known to be dangerous to wireless sensor networks (WSNs) because it enables the adversary to extend the damage throughout the network with very low cost. To stop such attack, we propose a similarity estimation based scheme with group deployment knowledge. Compared with prior works, our proposal provides extra functionality that prevent replica from generating false location...
The purpose of this paper is to realize the real time correction of geometric distortion of the non-follow-up dome-screen used in the motion simulator. To achieve this goal, the change of the trainer's observation area and the observing position that deviate from eye point are analyzed first, when the relative movement of the dome-screen and platform occurs. Then, based on the analysis above, we use...
The super-resolution passive radar image can be obtained by estimation of signal parameter via rotational invariance technique (ESPRIT) method under the condition of small angular rotation. However, the ESPRIT method needs high signal noise ratio (SNR), which may not be satisfied in actual passive radar system. Therefore, a super-resolution passive inverse synthetic aperture radar (ISAR) imaging framework...
As the urban population has risen steadily, it plays a major role in urban security and traffic control to make an accurate prediction of the degree of crowing in urban public open space. In this paper we propose an approach to predict the degree of crowding in urban public open space based on the multi-source data. Here we divide an urban public open space into a number of areas while a day into...
Frame coefficients play an important role in the study of frame theory, which helps in the structural analysis of applications for frames. However, we know very little about the distribution of frame coefficients sequences. In this paper, we mainly study the distribution of the frame coefficients for vectors in a Hilbert space by using the minimum eigenvalue of frame operator. Our results generalize...
Based on the characteristic of autonomous underwater vehicle path planning, the method of path planning was analyzed by genetic algorithm. Firstly, by means of grid, plan space was modeled into two markers. Best path was searched by genetic algorithm. Method of giving birth to initial groups was improved. Sufficiency function of path planning was given. Chamfer operator in genetic algorithm was imported...
In recent years, parallel computing and machine learning have gradually became a research hotspot in big data field. Now users who are familiar with the R language can easily complete the data analysis on the platform of Apache Spark with the programming interface called SparkR provided by Apache Spark. There are several realized classification algorithms (including multiple classification and binary...
The tower of the lifting system is the key equipment which ensures the modules being lifted and installed on the deep sea oil extraction platform. As the important bearing structure in the lifting system, the tower has complex force conditions and its quality has great influence on the working performance of the whole lifting system. In terms of the designed gantry tower structure, this paper will...
In the construction of offshore platform, because there are many characteristics, such as the heavy weight, large size, high installation height and so on. The hydraulic continuous lifting system is so important for construction. Meanwhile, the lifting system also needs to have good synchronization, stability, security and high efficiency. In this paper, the fuzzy controller is used to control the...
Large multi-layer steel structure has high reliability and safety and become more and more widely in construction of offshore oil platform. As error accumulation of large steel structure with multi-layers when manufacturing and installing, it is very hard to realize the accuracy of installation in responsible constructing efficiency. It's usually required to set up accuracy control points with 3D...
Based on the modular design of marine equipment, this paper aims at designing the mechanical model, working system, hydraulic system and control system of the three dimensional adjusting device applied for the large structure block merging. In this paper, the position control and synchronous control of the multi cylinders are achieved. According to the demand, the velocities of different cylinders...
We present an offline signature verification system with new architecture, using Deep Convolutional Generative Adversarial Networks (DCGANs) to learn features unsupervised instead of using hand-crafted features. The advantage of this architecture is that system has a robust generalization ability. Besides, aiming at the conflict between convenience and accuracy, a hybrid Writer-Independent-Writer-Dependent...
Summarized the mainly algorithms of terrain three-dimensional visualization in virtual reality, for the large-scale terrain data organization in three-dimensional virtual war zone simulation, analyzed the characteristic of change of scene, according to motion regulation and idea of layer and block, presented the organize principle of external static data and terrain blocks index regulation, for the...
This paper studies a multi-agent system called coalition skill games, where at any time, some agents may be removed and some new tasks may arise. Sometimes, it is necessary to add some new agents to the original system. Which skills should be possessed by these new agents to make the accomplishment of these tasks be most effective? If each task is endowed a utility value, the maximal system revenue...
In the field of big data retrieval, hashing based approxi-mate nearest neighbors (ANN) search has attracted many at-tentions. However, most existing hashing algorithms are learned from the centralized settings and based on small scale datasets, or in other words, they are single machine ap-proaches which load the training data into memory to get models. For big data processing, models learned from...
This paper focuses in particular on the problem of Chinese characters recognition in natural scenes. Due to large variation in fonts, sizes, illumination, cluttered backgrounds, geometric distortions, etc., scene text recognition in the wild is a challenging problem. We proposed a novel method which based on Integral Channel Feature and pooling technology to extract informative features from scenes...
In order to solve the investment decision problem with missing data. Multiple imputation theory, Bayesian theory were used to design a basic process of investment decision. Firstly, multiple imputation was applied to interpolate the missing data, then the Bayesian decision was made, finally, the risk of decisions made under different situations was compared by fault tree method, and the investment...
Public Bicycle System(PBS) is a new kind of urban transportation infrastructure. Understanding the usage patterns of stations in PBS is crucial for bicycle dispatch and traffic resource optimization. In this paper, we propose a visual analytic system to explore the station usage patterns. A filter model is proposed firstly, which is used to filter out desired records under different conditions. Map...
Aiming at electro-hydraulic servo control system, the simulation model of fault self healing is studied and combine artificial immune system to self-healing for the purpose of making the electro-hydraulic servo control system feel their own status in the engineering applications. Some components faults and early breakdown can be recognized by using communication and coordination between its components...
This Bone X-ray images contain abundant texture information of bone trabeculae, high pass filter such as Butterworth filter can approach maintains and enhances trabecular bone texture combining histogram equalization, However, the biggest disadvantage of Butterworth high-pass filtering is an excessively slow operation speed. The newly proposed high-pass filtration algorithm based on spatial domain...
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