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The algorithm pertains to creation of a middle level message transmission mechanism between the highly sophisticated encryption technique and the messages transmitted by phonetic alphabet codes. The algorithm suggests two levels in the language with each level varying in complexity and advantages.
The research presented in this paper was aimed to develop a recognition system for microscopic images of breast tissues samples. The system should classify breast tissues as malignant or not, or identifying their malignancy types. In this paper, multi-scale fractal dimension concept was used to extract a set of textural features in order to perform texture analysis for breast tissues samples. The...
A hybrid ant colony optimization based on Genetic Algorithm (GA) is applied to solving complex packing problem in the paper. Firstly, it searches for a set of rough solutions with the random search ability and the rapid global convergence of GA. Then, this set of solutions are used as the initial input of Ant Colony Optimization(ACO), using the positive feedback mechanism, the parallelism and the...
The aim of this paper is to propose a general homotopy inversion strategy for solving the inverse problems of partial differential equations, which reduces solving the inverse problems to a task of tracing a class of inverse problems continuously, and then solving the corresponding class of operator equations. On the basic of this strategy, a differentiation regularization method and a homotopy regularization...
Self learning machines as defined in this paper are those learning by observation under limited supervision, and continuously adapt by observing the surrounding environment. The aim is to mimic the behavior of human brain learning from surroundings with limited supervision, and adapting its learning according to input sensory observations. Recently, Deep Belief Nets (DBNs) [1] have made good use of...
Retrieval of relevant document from a huge set of data is a crucial task particularly in an age when world wide web literally crisscrosses the world. The task becomes all the more difficult if the process involves recovery of fuzzy data. Then, not only does the text comparison between query and document become sufficient, but at the same time concept matching also assumes importance. Our primary aim...
We propose an effective background model using mixture of Gaussians and Laplacian pyramid decomposition for foreground object segmentation from complex scene containing stationary and moving objects. The Laplacian pyramid is employed to decompose the input image into a low-frequency big scale image and a high-frequency image. We build two mixtures of Gaussians in each pixel to represent the statistical...
We propose an industrial technological solution for the traveling salesman problem (TSP) by using the approximated cost matrix and an accelerated evolutionary computation (EC) algorithm. The cost matrix used by theoretical research on TSP mostly is the Euclidean distance between cities, which is not proper to the real condition in the industrial product's application. In this paper, we propose an...
This paper analyzes the existing decision tree classification algorithms and finds that these algorithms based on variable precision rough set (VPRS) have better classification accuracies and can tolerate the noise data. But when constructing decision tree based on variable precision rough set, these algorithms have the following shortcomings: the choice of attribute is difficult and the decision...
During the last ten years computer vision techniques have shown a great potential in solving the problem of automatic fire detection. Vision-based fire detection offers many advantages over the conventional methods that use smoke and heat detectors. This paper presents a novel approach for fire detection by modeling the structure of spatial of fire, this structure is considered in terms of the color...
According to the theory of traditional Chinese medicine (TCM), the tongue's color, texture and shape can reflect a person's physical health. Therefore, the tongue image analysis and matching are playing more and more important role in the tongue image's computer auxiliary diagnosis in TCM. Currently, the majority of the existing tongue image analysis methods are based on the single image feature (such...
In this paper, a novel robust adaptive control algorithm is proposed for a class of ship course autopilot with parameter uncertainty and input saturation. With the help of Lyapunov stability theory and adaptive backstepping technique, one controller is constructed by considering parameter uncertainty and actuator saturation constraints, and the stability analysis subject to the effect of input saturation...
Depth generation is a key technology in computer vision. Known methods mainly rely on stereo matching, or measuring devices like ToF camera. The ToF camera performs well in low-textured regions and repetitive regions where stereo matching fails. In contrast, stereo matching works better than ToF camera in textured regions. Based on their complementary characteristics, we introduce a method to combine...
The Chinese-English lexical knowledge base based on HNC is an important component of the HNC knowledge base system. As a new stage of the HNC natural language processing, the building of the knowledge base needs a deep development of the association between the target language and the source language in the concept of space. In this paper, the Chinese-English lexical knowledge base model based on...
Path planning problem of mobile robot is one that has intrigued and has received much attention throughout the history of robotics, since it is at the essence of what a mobile robot needs to be considered truly “autonomous”. A mobile robot must be able to find collision-free paths to move from one location to another, and in order to truly show a level of intelligence these paths must be optimized...
At present in many next generation software's biometric recognition has been included as a key facility. The Key advantage of using biometric recognition technologies over traditional approaches is the ability of gaining high accuracy in results. Face recognition can be considered as one of such popularly used technology. In this research it has been used to solve problems when organizing personal...
Novelty detection is one of primary tasks in data mining and machine learning. The task is to differentiate unseen outliers from normal patterns. Though novelty detection has been well-studied for many years and has found a wide range of applications, identifying outliers is still very challenging because of the absence or scarcity of outliers. We observe several characteristics of outliers and normal...
At present, the CAN(Controller Area Network) bus test technology cannot real-time monitor the network's communication quality of the physical layer. If the bus malfunction happens, the current technology cannot position the malfunction node. Aiming at above shortcomings, this paper puts forward CAN bus Loop-test technology of the comprehensive electronic equipment, designs the experiment plan of the...
This paper presents a remote sensing monitoring system for maritime search and rescue (RS-MSR). This work is a part of our project—Vision Enhancement System for Maritime Search and Rescue. In this work, satellite remote sensing imageries of large scale water area are acquired to detect and locate for guiding the search operation. Some important data such as current and sea state are retrieved to help...
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