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In this paper, we present an accurate channel distortion estimation model for robust H.264/AVC video codec. The model extends our previously proposed hybrid frame-recursive block-based distortion model by taking into account both multiple reference frames and motion copy concealment techniques which are first introduced in the latest video compression recommendation H.264/AVC. In order to capture...
A drain current model with improved computational efficiency for double-gate (DG) MOSFETs is presented in this paper. Based on our previously proposed potential model, the drain current model is obtained with the implementation of an improved calculation method and the computation efficiency is substantially enhanced. 2-D device simulation (TCAD) is extended to verify the proposed model. In addition,...
Sickbed arrangement is an important part of daily management in the hospital. Since the service time for different type of patients varies, the queuing system here, with multi-random input flow, can not be solved accurately by using classical queuing theory. Based on the analysis of patient information, we apply the simulation method into the sickbed arrangement system, and take the average waiting...
Time series analysis is commonly used in economics and management research. It depicts the orderliness of the historical data changes over time with proper models, and analyzes and forecast the value of variables. Based on three modes of ARMA modeling, this paper suggests a method to predict the potential of resource of electronic waste with the data of inventory of electronic waste. With quantitative...
With the increasing pressure from environmental protection, the concept of green living has gradually been accepted. Smart home can provide high quality of life with the lowest environmental cost in the future. This paper aims to present and discuss a solution for smart house which based on cloud computing circumstance. Most difficult problems of research are not coming from Cloud Computing System...
Successful ITS (Intelligent Tutor System) design depends on a large number of factors. This paper focuses on emotional interaction in ITS. An artificial emotional model based on HMM(Hidden Markov Model) is proposed. In this model, the teacher's mood and emotion is created in the form of probability, as well as, the recognition results of students' facial expression are regarded as the actuating signal...
At present, the research works about sociality agent emphasis on what are social mental status, and use abstract social mental status to establish sociality agent model. These works lack study that mapping sociality agent model to particular architecture, analysis running process of architecture, and prove architecture reasonable. Aim at this problem, based on understanding about human being sociality,...
The modeling and identification of nonlinear systems are important but challenging problems. Because of numerous advantages fuzzy models are often preferred to describe such systems. However, in many cases the generated models are very complex. In the paper, a new fuzzy modeling method of nonlinear system is proposed. The fuzzy model is identified as black-box model with input-output training data...
In the raw slurry blending process, red mud, alkali powder, blending ore and limestone are translated into ball mills to produce the raw slurry whose quality indices include calcium ratio, alkali ratio and water content. The optimal control objective is to make the quality indices of raw slurry into their targeted ranges. However, due to the dynamics between the quality indices and the flow-rate of...
This paper describes a web-based platform for nanoscale non-classical device modeling and circuit simulation, especially for non-classical CMOS device compact modeling and circuit performance prediction. This platform is based on program libraries, including model code files. We use SPICE as circuit simulation framework, and the Verilog-A as model design language. Based on the user input deck content,...
Role as new abstraction has been gradually used in agent analysis and design research field, and it is generally defined as an entity or a set of properties. The relationship between role and agent is relative independent, and role model is established before agent model. In this paper, we think role and agent is interdependent, agent is carrier of role, and role means what agent can do. When analysis...
Computational Fluid Dynamics (CFD) simulations of the horizontally homogeneous atmospheric boundary layer (ABL) flow are essential for wide applications of computational wind engineering atmospheric studies, especially for flow around large-span structures and cluster of high-rise buildings. The standard k-epsiv model is adopted to computationally model the horizontally homogeneous ABL by setting...
In the research of agent theory and technology, BDI model is the most studied one with the broadest applications. But it lacks specific mapping relationship research between BDI model and particular agent architecture. In this paper, we firstly establish abstract mapping between BDI model and agent autonomy, then stimulate human being autonomy mechanism, establish specific mapping relationship between...
Recent work has shown the importance of considering the adversary's background knowledge when reasoning about privacy in data publishing. However, it is very difficult for the data publisher to know exactly the adversary's background knowledge. Existing work cannot satisfactorily model background knowledge and reason about privacy in the presence of such knowledge. This paper presents a general framework...
During the process of pluralistic fertilization model construction, the unreasonable ratio of nitrogen, phosphorus and kalium easily results in the deviation of fertilizing model. This paper has proposed an adaptive algorithm of fertilization model fitting based mixed intelligent computing of GP/GA, and solved the issue of structure and parameters optimization of adaptive fertilization model. This...
IP traffic prediction plays an important role in network-layout, traffic-management, as well as the emphasis of traffic-project, congestion-control and network management. Poor prediction performance would be acquired generally as a result of intense nonlinearity of networks traffic. To tackle it, a modeling method for exact representing IP trafficpsilas movement tendency and a regression algorithm...
Automated surveillance system is becoming increasingly important especially in the fields of computer vision and video processing. This paper describes a novel approach for improving the results of detecting foreground objects and their shadows in indoor image sequences. Several previous techniques have been developed in the literature that deal with moving shadows. However, a comparative evaluation...
For the limitation of current workflow delegation models, a conditional delegation model based on weighted roles for workflow is proposed. For the model, it is supporting conditional partial delegation by adding weights to roles and importing variables in workflow tasks. The role delegation tree is defined to address the multi-step delegation issue, and the consistency delegation checking method is...
The present study proposes two alternate model structures to represent exponentially damped sinusoids and proposes a novel method of estimating the parameters of the damped sinusoids by combining Hankel singular value decomposition (HSVD) with the extended complex Kalman filter (ECKF). The ECKF is capable of estimating the parameters and can effectively track the variations of damping constants and...
In wireless environments, video quality can be severely degraded due to channel errors. Improving error robustness towards the impact of packet loss in error-prone network is considered as a critical concern in wireless video networking research. Data partitioning (DP) is an efficient error-resilient tool in video codec that is capable of reducing the effect of transmission errors by reorganizing...
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