A new intelligent prediction system model-the compound pyramid model

A current development trend in research on intelligent systems is to optimize a general intelligent prediction system into an individuation intelligent prediction system that is applied in specialized fields. Protein structure prediction is a challenging international issue. In this paper, we propose a new intelligent prediction system model, designed as a multi-layer compound pyramid model, for predicting secondary protein structure. The model comprises four independent intelligent interfaces and several knowledge discovery methods. The model penetrates throughout the domain knowledge, with the effective attributes chosen by Causal Cellular Automata. Furthermore, a high pure structure database is constructed for training. On the RS126 dataset, the overall state per-residue accuracy, Q3, reached 83.99%, while on the CB513 dataset, Q3 reached 85.58%. Meanwhile, on the CASP8 sequences, the results are superior to those produced by other methods, such as Psipred, Jpred, APSSP2 and BehairPred. These results confirm that our method has a strong generalization ability, and that it provides a model for the construction of other intelligent systems.     

Breakdown voltage analysis for the new RESURF AlGaN/GaN HEMTs

This paper demonstrates that the depletion process for AlGaN/GaN high electron mobility tran-sistors(HEMTs)is different than that for silicon power devices by analyzing active region depletion.Based on the special breakdown principle that occurs in AlGaN/GaN HEMTs,we propose a new reduced surface field AlGaN/GaN HEMT with a double low-density drain(LDD)and a positively charged region near the drain to optimize the surface electric field and increase the breakdown voltage.In this structure,two negative charge regions with different doses are introduced into the polarization AlGaN layer to form a double LDD and decrease the high electric field near the gate by depleting two-dimensional electron gas.A positively charged region is added to the electrode near the drain to decrease the high electric field peak at the drain edge.By applying ISE(integrated systems engineering)simulation software,we verify that the virtual gate effect occurs in the AlGaN/GaN HEMTs.The breakdown voltage is improved from 257 V in the conventional structure to 550 V in the proposed structure.     

Negative effects of sufficiently small initial weights on back-propagation neural networks

In the training of feedforward neural networks,it is usually suggested that the initial weights should be small in magnitude in order to prevent premature saturation.The aim of this paper is to point out the other side of the story:In some cases,the gradient of the error functions is zero not only for infinitely large weights but also for zero weights.Slow convergence in the beginning of the training procedure is often the result of sufficiently small initial weights.Therefore,we suggest that,in these cases,the initial values of the weights should be neither too large,nor too small.For instance,a typical range of choices of the initial weights might be something like(0.4,0.1) ∪(0.1,0.4),rather than(0.1,0.1) as suggested by the usual strategy.Our theory that medium size weights should be used has also been extended to a few commonly used transfer functions and error functions.Numerical experiments are carried out to support our theoretical findings.     

小型化微波功率探头的分析与设计

为了减少传统微波功率测量中由于热损耗所带来的测量误差,本文中应用一种对数二极管检波电路设计了一种小型化的微波功率探头。同时由于在输入端加入了仿真优化的匹配网络,该探头在100MHz-3GHz驻波比得到了明显改善。最终测试结果表明动态范围大于60dB。     

物联阿技术在电梯监测报警管理系统中的应用

本文首先对当前城市电梯运营状况作了分析,然后对利用物联网技术监测与管理电梯的必要性进行了探讨。介绍了物联网技术在城市电梯监测报警管理系统中的应用原理,重点描述了无线监测终端的设计和功能。     

双轴应变下GaN有效质量的计算及其对迁移率的影响

通过计算双轴应变下氮化镓的电子能带结构,给出了GaN有效质量与应变的变化关系。在弛豫时间近似的条件下,这种关系决定了双轴应变AlGaN/GaN中二维电子气(2DEG)的迁移率的改变。在其他物理参量不变的情况下,这种二维电子气迁移率将随着张应变的增加而增加,并随着压应变的增加而减小。计算结果表明,张应变对2DEG迁移率的影响要比压应变大。此外,GaN有效质量的变化在低温时对迁移率的作用更明显。而在低温低浓度的条件下,迁移率却对有效质量的依赖很小。     

物联网技术与神经网络算法在高职学院实训室仿真中的应用研究

高职学院应当重点培养从事物联网关键技术领域的系统设计、系统分析、科技开发及研究方面的工程技术人才。文章分析了高校利用物联网与神经网络技术来优化多通道通信关键技术信息传感设备的采集与实现方法,同时给出了采用神经网络终端来按约定的协议实现人与人、人与物、物与物全面互联的网络关键技术。     

基于ISA100.11a标准的工业物联网开发平台的设计与实现

工业物联网技术是未来几年工业自动化产品新的增长点。作者所在实验室作为Voting Member和ISA WCI工作组成员参加ISA100.11a标准的制定,研发了基于ISA100.11a的工业物联网通信协议栈软件、网络设备及终端设备,研制的ISA100.11a工业物联网开发平台具有完善的硬件、软件产品及技术支持,核心技术已经形成专利池,可广泛应用于智能工业、环境监测、智能电网等应用系统的开发,并已经在中国四联集团、韩国汉阳大学等单位得到应用。