Simultaneous Prediction for Multiple Key Performance Indicators in Semiconductor Wafer Fabrication

The prediction and key factors identification for lot Cycle time (CT) and Equipment utilization (EU) which remain the Key performance indicators (KPI)are vital for multi-objective optimization in semiconductor manufacturing industry.This paper proposes a prediction methodology which predicts CT and EU simultaneously and identifies their key factors.Bayesian neural network (BNN) is used to establish the simultaneous prediction model for Multiple key performance indicators (MKPI),and Bayes theorem is key solution in model complexity controlling.The closed-loop structure is built to keep the stability of MKPI prediction model and the weight analysis method is the basis of identifying the key factors for CT and EU.Compared with Artificial neural network (ANN)and Selective naive Bayesian classifier (SNBC),the simulation results of the prediction method of BNN are proved to be more feasible and effective.The prediction accuracy of BNN has been obviously improved than ANN and SNBC.     

Sensor fault detection algorithm based on credibility and neighbor-cooperation

To effectively detect whether a node was failure,one of the effective sensor fault detection methods was to compare historical data of suspicious node with its neighbors.The key points of this method were identification of suspicious nodes,as well as decision problem of sending timing for fault diagnosis messages.To this end,a sensor fault detection algorithm was presented based on credibility and neighbor-cooperation.Firstly,a credibility model to determine whether nodes are suspicious was established.Then suspicious nodes send fault diagnosis requests to neighbor nodes based on neighbor-cooperation.The sending timing was determined by equal probability time window.Finally,it could finish classification of fault condition and state judgment based on diagnosis responds of neighbor nodes.Simulation experiments show that this algorithm can achieve higher fault detection rate with less fault diagnosis times and low data congestion probability.     

基于邻域统计特性的概率神经网络及其在自动目标识别中的应用

在概率神经的一种改进模型－ＦＤＯ网络的基础上，提出在设计网络收敛域时进一步考虑每一像素点周围８邻域的影响，对网络的作用函数加以修，使改进后的网络具有稳定性好且收敛速度快的优点。通过实验对改进前后网络的识别性能加以比较，证明改进后的网络特别适用于噪声图像的识别。     

CMOS／SOI电路模拟与参数提取

ＳＯＩ－ＭＯＳＦＥＴ主要模型参数得一致的提取，因而该模型嵌入ＳＰＩＣＥ后能保证ＣＭＯＳ／ＳＯＩ电路的正确模拟工作，从ＣＭＯＳ／ＳＯＩ器件和环振电路的模拟结果和实验结果看，两者符合得较好，说明我们所采用的ＳＯＩ ＭＯＳＦＥＴ器件模型及其参数提取都是成功的。     

闪光灯电容器老练工艺的研究

介绍了对闪光灯电容器在不同条件下进行老练工艺试验的结果，选择了合适的温度和电压条件，并采用时间间隙老练工艺，取得了满意的结果。     

AlN基板与金属化层界面的分析电镜研究

利用各种分析电镜观察了掺杂助烧剂和未掺杂助烧剂的ＡｌＮ陶瓷的微观结构特征，鉴别了ＡｌＮ中的第二相，研究了ＡｌＮ基板上薄膜（Ａｕ－Ｐｔ－Ｔｉ）和厚膜（Ｍｏ－Ｍｎ）金属化界面的结构。     

一种基于FPGA的BPSK调制研究

二相相移键控(BPSK)是指通过二进制基带信号对载波进行二相调制的方法,是信号处理的重要应用之一。针对FPGA系统速度快、灵活稳定、效率高等优点,在探究BPSK调制原理的基础上,与FPGA技术结合,搭建系统平台,使得测试仿真更加方便快捷。BPSK的调制原理被广泛地应用到现代通信中的各个领域,正是因为它在系统的仿真和分析过程中起着关键的作用,使得智能卡、蓝牙传输等相关技术应运而生。通过使用仿真工具Model Sim对调制信号进行仿真,可以清晰地看出仿真效果图。该研究原理通俗易懂,仿真调试部分也是简单易学,实现简单,扩展性强。     

Energy Efficient Forwarding Algorithm in Opportunistic Networks

In opportunistic networks,a successful message transmission between node pairs depends on the message size,the transmission speed and the connection duration time.This paper proposes a new message forwarding algorithm to improve the message delivery ratio and reduce the energy consumption.Previous encounter characteristics between nodes are used to estimate future connection duration time using a three point estimation method.Furthermore,the buffer utilization of nodes is used as a weight for the likelihoods to meet destinations according to the hop count of messages stored in the buffer.The simulation results show that the proposed forwarding algorithm achieves higher delivery ratio and less overhead ratio than the other four popular routing protocols.In addition,the proposed algorithm gains a better average residual energy performance among all the compared protocols.     

船用导航雷达收发系统的设计

介绍了一种船用导航雷达收发系统的设计,阐述了船用导航雷达的工作原理与系统构成,论述了收发系统的设计方法和工作原理,给出了调谐控制、灵敏度时间控制、射频控制单元的电路设计。     

基于 Fluent 的蒸汽喷射器结构研究与优化

设计了一种用于加热黏稠类物料的蒸汽喷射装置,基于计算流体力学软件 Fluent数值模拟方法对不同结构蒸汽喷射装置的速度场、温度场和压力场分布情况进行研究。结果表明,螺旋导柱截面宽度占据混合区域宽度约40％左右时,对蒸汽流的分散作用最佳,速度情况和出口温度分布情况较为理想;螺旋导柱截面形状为正方形时其压力和温度有最优解,为菱形时其湍动能分布有最优解。研究结果为改进蒸汽喷射器结构和提升喷射器的工作效率提供了必要的理论依据。