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Using Behavior Entropy model, we introduce a novel method to detect and localize abnormal behaviors in crowd scenes. Our key insight is to estimate the behavior entropy of each pixel and whole scene by considering defined pixels' behavior certainty. For this purpose, we introduce information theory and energetics concept to define pixel's behavior certainty based on video's spatial-temporal information...
The modern public traffic system provides more intelligence and efficiency services. These great requirements leading the complex services systems, such as the automatic fare collection in the urban rail transit system to convenient to passengers. In this paper, a novel method in a formal way is proposed to model and analyze the metro services mechanism by building bigraph models with a set of reactive...
Aiming at the problem of estimation of secret message length in steganalysis, this paper presents a quantitative steganalysis method based on HMT (Hidden Markov Tree) and PLSR (Partial Least Squares Regression) to solve the problem. In this paper, three 2-State HMT models are modeled respectively for wavelet coefficients in the horizontal, vertical and diagonal directions. In order to calculate the...
To achieve a succesful electromagnetic interference simulation and analysis among lots of electromagnetic equipment deployed in wide range, passing the time-varying spectrum simulation parameters to each simulation terminal quickly and in time is a critical factor. This paper proposes an electromagnetic propagation simulation platform, in which all the simulation terminals acquire part of the simulation...
The influence of pilot error and aircraft failure on the safety of civil aircraft is investigated in this paper. Based on the human-machine system modeling technique, the modules in the pilot-aircraft system failure mode are built using objective-oriented technique, and the software system of civil aircraft safety evaluation is developed. A practical example of flight accident shows that the simulation...
This article analyzes the sharing and reuse of the geography model in the distributed environment based on the methods of geography model integration and framework. We use the model contract to describe the integration of geography model, and design a model contract language to express. We also design the model execution engine architecture which can execute the model contract language. This is the...
For the current “Model islands” problems which occur in the process of the geography modeling and model sharing, we propose an idea of geography model sharing and reusing method which based on the metadata standard in distributed environment. This article mainly solves how to describe and manage the geography model to achieve the model sharing and reuse. We work on the design of the metadata standard,...
To solve high real-time and complexity calculation problems such as feature extraction and pattern classification when wireless sensor network real-time diagnosis and equipment health record of the mine coal underground equipments monitoring, this paper purpose a optimal algorithm for task scheduling underground wireless monitoring network based on distributed computing, this method use the fast convergence...
When tracking the moving targets in video image sequences with the existing particle filter, usually the tracking performance is not satisfactory due to the particle degradation and particle diversity loss. In this paper, we propose a novel particle filtering algorithm. In the algorithm, the multi-agent co-evolutionary mechanism is introduced into the particle re-sampling process and make the particle...
Studies on quality evaluation of coordinate transformation have not yet to comprehensively investigate the simulation ability and reliability of a transformation. This paper presents a comprehensive quality evaluation system (QES) for coordinate transformation that includes the testing of reliability and simulation ability. The proposed QES was used to test and evaluate transformations using typical...
In recent years, research of human vision attention opens a new field for machine vision. A novel and simplified model including saccade and gaze is presented in this paper, which simulates human vision attention. An efficient algorithm is proposed for extracting simple features in global scene and extracting candidate features in local saliency region so as to reduce computational cost. This simplified...
In order to reduce the bad influence of friction on servo system to improve servo precision, a method with a linear driver and model reference difference was presented to reduce the nonlinear factors of motor, control system and PWM driver, and with this, the friction moment can be identified and compensated with anti-windup PI regulator and one order high-pass filter. Half physical simulation results...
Model Driven Architecture (MDA) is a development methodology taking model as center, it shift the focus of software development activity from coding to modeling, which is initiated by the Object Manage Group and based on UML and other standard etc. Aspect-Oriented Programming (AOP) is an emerging software engineering paradigm that improves separation of cross-cutting concerns as aspect in a program...
In this paper we demonstrate how statistical learning support vector machine (SVM) algorithms can be applied to modeling analog circuits. The success of these types of techniques has been traditionally achieved by using large sets of training data. However, analog data is expensive in terms of simulation time and hardware testing; therefore, achieving high modeling accuracy with limited datasets has...
The traditional scheduling theory can only get the approximate optimal solution of the problem, and most is to consider algorithms on a single task or independent multitask scheduling. It presents a particle swarm algorithm to solve the task scheduling problem of computational grid. It builds a task scheduling model of computational grid, changes the particle swarm algorithm in continuous space searching...
This paper proposes a novel approach for word similarity computation based on word sense vectors. The word sense vector is built using HIT-IR Tongyici Cilin (extended) for concept generalization and is further modified by the use of relative and absolute frequency filters. Experiments show that the approach not only overcomes the problem of similarity computation of unseen words but also yields a...
According to the analysis of design practice and reuse, the design experience reuse system model and design experience reuse process model was proposed. The design experience reuse system modeling includes the product case data and subsystem of design reuse. The main function is to support the visible program design, carry out the UI intercommunion. The designer changes the assembly structure of parts...
In order to overcome shortcomings of basic hidden markov model (HMM), a hybrid model of multi-layer perceptron (MLP) and continuous hidden markov model (CHMM) is presented which bases on basic HMM. In this hybrid mode, MLP calculates each state’s output probability instead of CHMM. The main purpose of this model is to improve the recognition ratio of CHMM by means of the strong of MLP’s nonlinear...
Quantitative complexity of network coding as well as its computation delay on a node is presented in this paper. First, quantitative complexity of four fundamental calculation operations were analyzed. Based on that, quantitative complexity of encoding, decoding as well as independence detection for network coding were given theoretically. At last, the experimental results showed our quantitative...
Model-driven development (MDD) aims to shift the focus of software development activity from coding to modeling. However, managing relationships and specifying transformations between models at various levels of abstraction are complex tasks. System models tangled with concerns such as security make it difficult to develop complex systems and specify model transformations. Aspect-oriented programming...
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