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According to the risk theory, propose the definition of armed forces knowledge management risk. On the basis of that, the risk factors of the armed forces knowledge management were analyzed, and the armed forces risk evaluation index system was constructed. Based on the fuzzy feature of the evaluation index, fuzzy mathematics and neural networks were integrated to established the fuzzy neural network(FNN)...
In this work a new Reduced Reference (RR) Video Quality Metric (VQM) is proposed. The method takes advantage of the Human Visual System (HVS) sensitivity to sharp changes in the video. The proposed method has a spatial-temporal approach and because of that it is named as STAQ (Spatial-Temporal Assessment of Quality). In the first step of STAQ we take a temporal approach and find the matching regions...
Marriage register books are documents that were used for centuries by ecclesiastical institutions to register marriages. Most of these books were handwritten. These documents have interesting information, useful for demography studies. The information in these books is usually collected by expert demographers that devote a lot of time to transcribe them. The automatic transcription of these documents...
While traditional image quality metrics like MSE are mathematically well understood and tractable, they are known to correlate weakly to image distortion as observed by human observers. To address this situation, many full reference quality indices have been suggested over the years that correlate better to human perception, one of them being the well-known Structural Similarity Index by Wang and...
Analysis and evaluation on land carrying capacity is the key content of environmental impact assessment of urban master planning, even an important criterion of determining the feasibility of resource and environment in urban planning. Currently, most cities are all facing the problem of land resource shortage, land carrying capacity has become the pivotal factor for restricting the urban development,...
Urbanization promotes the development of industrialization and information, and develops the economy rapidly. In recent years, China's urbanization accelerates. But, at the meantime the human settlement of urban residents has been seriously broken. At present, it is very important to coordinate the urbanization with human settlement development, and promote the urban human settlement sustainable development...
An off-line handwritten Chinese character recognition system based on feedback structure with statistical error of generalized literacy is constructed in this paper by imitating the feedback behavior of repeatedly considering in the human brain. Four kinds of general literacy errors are defined, which are rough error of aberration comparison, detail error of character characteristic, characteristic...
Urbanization is a necessary requirement and result for industrial development. The urban land intensive use is a natural way for urban development. Land use and urban development interacts. This paper selected the perspective of a reasonable quantitative evaluation of land intensive use and the comprehensive level of urbanization of Korla City, analyzing the relationship between the two systems. According...
The basic conception, characteristic, connotative meaning and complex group systems of ecological house was put forward in this paper as well as the frame construction of ecological system including energy system, water system, sound system etc. Science supporting system of ecological house that consisting of green technique, ecological landscape art was also deeply studied, and ten kinds of index...
Research and development (R&D) strength is very important for region and nation sustainable development. This paper makes a comprehensive evaluation of 21 regions in Guangdong province through factor analysis and cluster analysis. we found that R&D strengths of Shenzhen and Guangzhou are in leading positions, but imbalanced in human and financial resources, technology transfer and diffusion,...
This paper proposes an intelligent system for solving the fault diagnosis problem in electrical power transmission system, involving substation equipments and transmission lines. The proposed methodology is based on Bayesian Networks and this paper is focusing only on the failures related to transmission lines. The fault diagnosis in power transmission systems is a complex problem and its solution...
Master-slave motion mapping method based on time-varying coefficients is proposed for the dexterous hand driven by ultrasonic motors. In order to evaluate the performance of motion mapping qualitatively, Feature Point Sets(FPSs) of dexterous and human hands are built to describe the whole configurations of both in Cartesian space, and then, a cost function based on generalized Euclidean norm of FPS...
Objective: To investigate the relationship between handedness and motorial brain tissue (corticospinal fasciculus and corpus striatum) with diffusion tensor imaging (DTI). Methods: In this study, thirty-five healthy subjects (24 right-handers and 11 left-handers) were enrolled from the International Consortium of Brain Mapping (ICBM) database, and the DTI data were obtained on Siemens Sonata 1.5T...
This paper presents a method for automated extraction of MCP joints in infrared images of hands. Based on averaged anatomical structure and landmarks of human hands, three different models are proposed to estimate the regions of MCP joints of human hand: rectangle model, ellipse model and circle model. In addition, to evaluate the accuracy and validity of the three models, we propose a new way to...
We present a high-accuracy shape acquisition approach that uses a combined Gray code and phase-shifting structured light projection. The Gray code pattern coarsely divides the projected plane into local regions, whereas phase-shifting precisely determines the pixel-accurate index for each point on the plane. The combination of the two codifications greatly decreases the number of patterns as compared...
In the conventional rate distortion optimization (RDO) video coding, the measure of distortion is mainly from the perspective of signal processing, while dose not fully take into account the characteristics of visual perception. People have concerns about not only the information of independent pixels, but also the temporal and spatial correlations between them. For different video content, human...
Crowd counting which aims at obtaining the number of people within a scene is an important computer vision task. While most previous methods try to count people within one frame, this paper addresses this problem using the detection flow which is defined as a set of object detection responses along the temporal video sequence. We argue that counting based on detection flow provides a better way to...
The Internet of Things (IoT) is a new concept that refers to an Internet connecting not just computer systems but a plethora of systems, devices, and objects, collectively referred to as “Things”, and encompasses technologies for identification and tracking, sensing and actuation, both wired and wireless communications, and also, intelligence and cognition. Wireless communications, which is an integral...
With the increasing popularity of video applications, the reliable measurement of perceived video quality has increased in importance. We study methods for pooling video quality scores over space and time. The method accounts for localized severe impairments of the signal which exhibit significant influence on the subjective impression of the overall signal quality. It also accounts for the effect...
Based on WordNet, we do some research on the co-occurrence phenomena of semantic relations in objective knowledge system. According to the structural characteristics of semantic relations in objective knowledge system, a co-occurrence degree function for pairs of semantic relations was proposed. We calculate co-occurrence degree from the data obtained by making statistical tests. Some useful conclusions...
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