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Strengthening the party organization construction in college is the objective requirement for development of the reform and opening-up policy and socialist market economy, and is an important guarantee to construct the harmonious campus. The investigation shows that, the college students' party organization plays a certain role in the campus construction and management and gets the positive achievements,...
We propose an index of textural feature for oil spill segmentation based on X-band marine radar image. The radar image used in this paper were acquired on July 21, 2010, from the teaching-training ship, “YUKUN”, of Dalian Maritime University. Using adaptive median filter and Fields-of-Experts model, co-channel interference and small objects are cleaned separately. An index calculated by textural features...
In this article, we study finite-time synchronization of complex network with unknown parameter by applying a new type of sliding form controller. On account of the theory for finite-time control, we introduce a new type of sliding form surface. We testify that the system converge to the zero point in a given finite-time. Then we propose a sliding form controller which guarantee that the sliding movement...
In this paper, the optimal fault tolerant control (OFTC) problem is solved for a class of uncertain nonlinear strict feedback discrete-time systems based on the adaptive critic design (ACD). By introducing an auxiliary signal, the influence of the actuator fault on the control performance can be compensated. According to the gradient descent scheme, the updating law for the auxiliary signal is developed...
At present, the classification of brain diseases through neuroimaging data is a hot topic. Attention deficit hyperactivity disorder (ADHD) is usually diagnosed by the standard scale. However, the traditional diagnostic methods have high misdiagnosis rate and time consuming. In this paper, we discussed the classification of ADHD by using the feature subset obtained by preprocessing and feature selection...
This article focuses on adaptive fuzzy control for uncertain stochastic nonlinear systems in nonstrict-feedback form accompany with full-state constraints and dead-zone. In order to improve the performance of the system, some barrier Lyapunov functions are introduced to limit the states of the system within desired ranges. By integrating fuzzy logic systems (FLSs) and backstepping approach into this...
The pollution of oil spill troubles people's health unquestionable seriously and restricts the development of coastal economy, severe oil spill will manipulate the ecological environment for quite a long period, and lead to some marine organism extinctions. Introduced an oil spills real-time monitoring system based on ultraviolet fluorescence, which can achieve the function in all weather, real-time...
Current methods that use hyperspectral remote sensing imagery in the detection and extraction of marine oil spills are quite popular. Because the mixed pixels exist broadly in the hyperspectral images, the automatic and accurate end member extraction technology plays most essential role in the hyperspectral unmixing. This paper proposed a data field-spectral preprocessing module prior to end member...
Due to the peculiarity of LNG goods, the safety of LNG ships anchored in the designated anchorage has been drawn much attention to. According to the real ship data and related designated anchorage hydro-meteorological data of Dalian Port, theoretical calculation and analysis are made on the safe length of anchor chain for corresponding vessels to be dropped in such area under different weather conditions...
Aimed at the limitation of the written teaching of oil separator, in order to make the trainees master the operation method of the oil separator system effectively, the Modeling and Simulation Research of Alfa Laval S series oil separator system based on EPC-50 as control unit is put forward. Combined with sequential control to make the realization of automatic control of oil separator function and...
Based on the features and limitations of maritime communication in the associated areas, this paper focuses on the key technology of wide-band communication network at sea under E-navigation framework. New methods and strategies to realize wide-band communication as well as some issues to be tackled for ensuring its development had been addressed. Especially, the WiMAX (Worldwide Interoperability...
Tattoos, a soft biometrie trait, are gradually being used to identify suspects in forensic science. Based on LAB color space and K-mean clustering, we propose a novel segmentation algorithm to improve the segmentation accuracy of color tattoos. The process consists of three parts. Firstly, we use K-mean clustering and human skin color segmentation in LAB color space to detect the skin area. Then,...
With the explosive growth of mobile user in Massively Multiuser Virtual Environments (MMVE), it faces a challenge, how to deal with the request of rapid growth and reduce traffic to shorten the response time. Fog computing is a novel solution to free users from the requirement of hardware. We introduce a tree network to manage connecting layer in fog computing, which is termed as CAN (content-addressable...
A new technique of scanned image restoration is proposed to save a large amount of important old documents. Firstly, by using a high definition scanner, these obsolete documents are scanned page by page to get the HD images. Secondly, different processing techniques are adopted, including removing black holes, deepening handwriting, denoising, etc., so as to make the contents of the files clearer...
In today's society, robot technology is developing rapidly. The development of robotics is closely related to the development of computer science, automatic, chemistry, psychology, mechanics and other disciplines. In the aspect of the application, the robot simulation system is particularly important. Before the operation of the practical application of the robot, the simulation system can complete...
Clustering is an important task in data mining area, especially in the area of continuous stream of data, i.e. ?data stream?. However, some characteristic of this kind of data is neglected during the existing clustering approaches. The similarity in temporal dimension between entities is underestimated. Forgetting mechanism is adopted to remove the old patterns to save computation resources. However,...
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