摘要：The purpose of this paper is to design a neuron adaptive PID controller based on the theory of intelligent control of the extens- ive research on the characteristics of neuronss, neurons and PID controller. Artificial neurons have the adaptive, parallel processing, selflearning learning, and mare fault-tolerant characteristics. When the artificial neurons are used to control the process, the syste^n will enabled to en-sure that the accused has strong anti-interference capability and ro. bustness.

摘要：论述基于神经元(neuron)芯片的智能调光节点的开发技术,并用neuronC语言设计了节点的应用程序。

摘要：The construction of engineered neural tissue using cell-derived extracellular matrix(ECM)-modified scaffolds is a promising *** fibroin(SF)sponge is an advantageous scaffold for the construction of engineered neural tissues,but it can still be modified to enhance its *** mouse embryonic fibroblasts(MEFs)are proven that they can secrete amounts of ECM and soluble factors including neurotrophic ***-derived ECM is expected to improve the activity of the *** we aimed to construct 3D functional neural tissues based on MEFs-derived ECM modified SF *** were cultured on porous SF sponges and decellularized with Triton X-100 and *** decellularized ECM deposited scaffolds were characterized through scanning electron microscopy and confocal *** efficiency of decellularization was evaluated by quantifying remaining ***,we investigated the primary cortical neuronal growth and 3D neural network formation effect on MEFs-derived ECM modified SF *** to bare SF sponges,ECM-SF sponges showed improved neuronal growth and axon extension indicated by immunofluorescence staining and ***,ECM-SF sponges showed increased 3D neural network formation with functional ***,this study demonstrated that functionalization of SF scaffolds using cell-derived ECM could improve the bioactivity of SF materials and provide an ideal microenvironment for functional neural tissue formation.

摘要：LonWorks现场总线技术，以其强大的开放性、互操作性、多通讯媒介、自由拓扑网络等特性完全满足了对测控网络的要求。LON网传输速率低，适合于数据量较少的检测信息、状态信息、和控制信息的传输，因而在楼宇自动化控制中得到了广泛的应用。文中设计了基于神经元芯片TMPN3150的智能节点，试验表明是正确可行的。可以方便的挂到LON网上，实现楼宇自动化的相应控制。并针对LonWorks现场总线的研究，给出了LON控制模块详细的原理图，对于开发LON网络节点是很好的借鉴。

摘要：Based on the model of a formal neuron proposed by McCulloch and Pitts,a kind ofneural circuit,which is a CMOS Variable Threshold Logic(VTL)circuit,is given in this paperconsidering the features of the binary image processing *** theoretical analysis,andthe simulations for the building block circuits such as D/A converters,comparator and so on *** layout design of the whole circuit are also *** binary image processing can berealized by using the VTL circuit combined with its external auxiliary circuits.

摘要：LonWorks开发技术是用于开发监控网络系统的一个完整的技术平台。介绍了神经元芯片的基本结构及I/O配置,神经元芯片可提供单端、差分和特殊应用模式3种网络通信方式,便于现场工业设备的联网通信。分析了电力线收发器PLT-22的应用,硬件电路由电力线收发器PLT-22、神经元芯片和MAX186组成,软件采用neuronC专门为神经元芯片设计的程序语言编写,给出了程序流程图及关键的程序代码。实际应用表明:基于LonWorks电力线收发器PLT-22智能数据测控节点通信性能好,电力网络能够用于控制数据的传输。

摘要：重点讨论了基于神经元芯片实现的EIA RS-232-C与LONWORKS的智能转换节点的设计,通过定义神经元芯片引脚为不同的I/O对象类型,给出了两种实现方案。该节点构成了EIA RS-232-C标准与LON的通讯协议之间的网关。

摘要：This research work investigated comparative studies of expert system design and control of crude oil distillation column (CODC) using artificial neural networks based Monte Carlo (ANNBMC) simulation of random processes and artificial neural networks (ANN) model which were validated using experimental data obtained from functioning crude oil distillation column of Port-Harcourt Refinery, Nigeria by MATLAB computer program. Ninety percent (90%) of the experimental data sets were used for training while ten percent (10%) were used for testing the networks. The maximum relative errors between the experimental and calculated data obtained from the output variables of the neural network for CODC design were 1.98 error % and 0.57 error % when ANN only and ANNBMC were used respectively while their respective values for the maximum relative error were 0.346 error % and 0.124 error % when they were used for the controller prediction. Larger number of iteration steps of below 2500 and 5000 were required to achieve convergence of less than 10-7?for the training error using ANNBMC for both the design of the CODC and controller respectively while less than 400 and 700 iteration steps were needed to achieve convergence of 10-4?using ANN only. The linear regression analysis performed revealed the minimum and maximum prediction accuracies to be 80.65% and 98.79%;and 98.38% and 99.98% when ANN and ANNBMC were used for the CODC design respectively. Also, the minimum and maximum prediction accuracies were 92.83% and 99.34%;and 98.89% and 99.71% when ANN and ANNBMC were used for the CODC controller respectively as both methodologies have excellent predictions. Hence, artificial neural networks based Monte Carlo simulation is an effective and better tool for the design and control of crude oil distillation column.

摘要：结合现有路灯系统的情况,加入不同的功能模块,通过采用美国Echelon公司的智能电力线收发器PL3120设计一种基于LonWorks网络控制技术的路灯控制节点,使系统能够经济、高效地运行,达到节约能源的目的。利用neuronC编程语言设计路灯控制软件,用电力线作为传输媒介实现对路灯系统中各节点的远程监控。

摘要：船舶机舱是船舶自动化系统的重要组成部分。为了有效提高船舶自动化系统运行的稳定性以及可靠性,本文提出使用Lon Works总线技术构建船舶机舱智能监测系统,介绍Lon Works总线技术的基本要点,对机舱智能监测系统整体架构进行设计,分析系统工作流程,最后对基于neuron芯片的机舱智能检测节点进行硬件设计。Lon Works总线拓展性好,可靠性高,可以应用于大小船舶的机舱智能检测中,因而具有很好的应用前景。