62166223
Study on the Si-Ge Nanowire MOSFETs with the Core-Shell Structure
This paper investigates the transport properties of the silicon-germanium nanowire MOSFETs with core-shell structure by using a finite element numerical method for electronic structure, energy level, and channel current computation. Coupled Poisson's equation to Schrodinger's equation for electrostatics calculation and electron structure to current transport equation for channel current computation, the electronic structure, quantized energy levels, relevant wave functions and charge distribution are solved selfconsistently for the core-shell structure MOSFETs. Furthermore, based on these findings, the transistor performances, including the capacitance characteristics and drain current, are also predicted.
39158542
A New Algorithm of Gray Watermark Embedding
The problems of the digital information transmission safety, its’ copyright protection etc. are seriously increase. Digital watermark is one of the good solutions for many problems mentioned above. Generally the watermark information is a one-dimension random signal. Two-dimension gray watermark is difficult to guarantee the robustness of the information embedding. Put a new kind of discrete wavelet transform (DWT) and the singular value decompose (SVD) on two-dimension gray watermark, the watermark becomes very strong robust to the compression, noise, low pass filter, high pass filter and median filter. It is useful for the safety of digital information transmission and its copyright protection.
111120849
Generic Carrier-Based Core Model for Four-Terminal Double-Gate MOSFET Valid for Symmetric, Asymmetric, SOI, and Independent Gate Operation Modes
A generic carrier-based core model for undoped four-terminal double-gate (DG) MOSFET valid for symmetric, asymmetric, SOI, and independent gate operation modes is presented in this paper. Based on the exact solution of the 1-D Poisson's equation of a general DG-MOSFET configure, a generic drain current model is derived from Pao-Sah's double integral in terms of the carrier concentration. The model is verified by extensive comparisons with 2-D numerical simulations under different bias conditions to all four terminals. The concise mathematic formulation allows the unification various double-gate models into a carrier-based core model for compact DG-MOSFET model development.
29221183
Intelligent Crowd Simulation
Crowd simulation is a continuous challenge in computer animation. In this paper, we present an intelligent crowd simulation technique based on multiple autonomous agents. Each animated character (AC) is modeled as an autonomous agent, consisting of the perception, behavior planning and motion generation system. AC perceives the environment information, generates intentions and plans behaviors autonomously. To execute behaviors, appropriate motions are selected from the fundamental motion library (FML) and edited to create required motions. And the crowd behavior can be regarded as a combination of the individual behavior of each AC. The experiment shows the feasibility of this technique.
7524507
Video retargeting: automating pan and scan
When a video is displayed on a smaller display than originally intended, some of the information in the video is necessarily lost. In this paper, we introduce Video Retargeting that adapts video to better suit the target display, minimizing the important information lost. We define a framework that measures the preservation of the source material, and methods for estimating the important information in the video. Video retargeting crops each frame and scales it to fit the target display. An optimization process minimizes information loss by balancing the loss of detail due to scaling with the loss of content and composition due to cropping. The cropping window can be moved during a shot to introduce virtual pans and cuts, subject to constraints that ensure cinematic plausibility. We demonstrate results of adapting a variety of source videos to small display sizes.
8081608
An analytic model for Ge/Si core/shell nanowire MOSFETs considering drift-diffusion and ballistic transport
In this paper an analytic model for Ge/Si core/shell nanowire MOSFETs (NWFETs) is developed. First, the electrostatic potential and charge model are derived out from classical device physics. Then the drift-diffusion drain current model is obtained and verified by comparisons with the numerical simulation. The ballistic current model is obtained with the approximately described quantummechanical effect through modifying the intrinsic carrier concentration under 2-dimensional confinement. With the proposed model, the performances of Ge/Si core/shell NWFETs are analyzed and significant characteristics are demonstrated in details. The analytic model in this paper provides a framework for further developing compact models of the NWFETs with Ge/Si core/shell heterostructure for circuit design and simulation.
19009541
Design about Real-time Fault Detection Information System of the Transformer Substation
Nowadays, the automation of our country’s power grid operation and management has reached a high level, by contrast, the automation of analysis and management of relay protection monitoring, system fault and protection action behavior seems relatively backward. This paper emphatically introduces the design of fault information system based on real-time detection platform aiming at 220kV transformer substation, including design of master station and sub-station, communication realization between master station and substation and security protection of the system and briefly clarifies the functions which the system can realize according to the characteristics of power grid.
15887278
A novel analytical scheme to compute the n-fold convolution of exponential-sum distribution functions
A general analytical scheme for computing the n-fold convolution of exponential-sum distribution functions has been developed in this paper. The n-fold convolution is first expressed by multiple sums of recursive integrals. These recursive integrals are then reconstructed with a series of delta functions to avoid separations of integrations. Part of the recursive integrals has been solved analytically by either direct integration or with Maple-like symbolic software packages. The general analytical solution of the n-fold convolution of exponential-sum distribution functions is obtained in two steps: first developing a general pattern of Laplace transform of the recursive integrals, and then performing an inverse Laplace transform operation to the general pattern of the developed Laplace transform. The solution presented in this paper provides another option for computing the n-fold convolution of exponential-sum distribution functions.
18928608
An Improved Particle Swarm Optimizer for Truss Structure Optimization
This paper presents an improved particle swarm optimizer (IPSO) for solving truss structure optimization problems. The algorithm is based on the particle swarm optimizer with passive congregation (PSOPC) and a harmony search (HS) scheme. It handles the problem-specified constraints using a 'fly-back mechanism' method and the variables' constraints using the harmony search scheme. The IPSO is tested on a planar truss structure optimization problem and is compared with the PSO and the PSOPC algorithm respectively. The result shows that the IPSO method presented in this paper is able to accelerate the convergence rate effectively and has the fastest convergence rate among these three other algorithms
41927172
A Wavelets Network Interpolation Algorithm for OFDM Channel Estimation Systems
For the performance deficiency of the pilot symbol aided channel estimation in orthogonal frequency division multiplexing (OFDM) systems, the wavelets network interpolation channel estimator is proposed. By contrast with conventional methods, wavelets network interpolation channel estimator can guarantee the high transmission rate and lower Bit error rates (BER). Computer simulation results demonstrate that the proposed channel estimation method exhibit an improved performance compared to the conventional linear channel estimation methods and is robust to fading rate, especially in fast fading channels.
42610771
A Novel Ordering-Based Greedy Bayesian Network Learning Algorithm on Limited Data