Analytical Criteria for Local Activity of CNN with Two Ports and Application to Smoothed Chua's Circuit

Presents analytic criteria for the local activity theory in two-port cellularneural network (CNN) cells with four local state variables, and gives the application to a smoothedChua's circuit (SCC) CNN with two-port and I 5 S 15 arrays. The bifurcation diagrams of the SCC CNNshow that they are completely the same as those of an SCC CNN with one-port calculated earlier;which do not exist locally passive domain. The evolution of the patterns of the state variables ofthe SCC CNN is stimulated. Oscillatory patterns, chaotic patterns, or divergent patterns may emergeif the selected cell parameters are located in the locally active unstable domains but nearby theedge of chaos domain.

Analytical criteria for local activity of CNN with five state variables and application to Hyper-chaos synchronization Chua's circuit

The analytic criteria for the local activity theory in one-port cellularneural network (CNN) with five local state variables are presented. The application to a Hyper-chaossynchronization Chua's circuit (HCSCC) CNN with 1125 variables is studied. The bifurcation diagramsof the HCSCC CNN show that they are slightly different from the smoothed CNN with one or two portsand four state variables calculated earlier. The evolution of the patterns of the state variables ofthe HCSCC CNN is stimulated. Oscillatory patterns, chaotic patterns, convergent or divergentpatterns may emerge if the selected cell parameters are located in the locally active domains butnearby or in the edge of chaos domain.

Data-driven fault diagnosis method for analog circuits based on robust competitive agglomeration

The data-driven fault diagnosis methods can improve the reliability of analog circuits by using the data generated from it. The data have some characteristics, such as randomness and incompleteness, which lead to the diagnostic results being sensitive to the specific values and random noise. This paper presents a data-driven fault diagnosis method for analog circuits based on the robust competitive agglomeration （RCA）, which can alleviate the incompleteness of the data by clustering with the competing process. And the robustness of the diagnostic results is enhanced by using the approach of robust statistics in RCA. A series of experiments are provided to demonstrate that RCA can classify the incomplete data with a high accuracy. The experimental results show that RCA is robust for the data needed to be classified as well as the parameters needed to be adjusted. The effectiveness of RCA in practical use is demonstrated by two analog circuits.

Design and implementation of high speed TDI CCD timing-driven circuits

The time delay integration charge coupled device(TDI CCD)is the key component in remote sensing systems.The paper analyzes the structure and the working principles of the device according to a customized TDI CCD chip.Employing the special clock resources and large-scale phase locked logic(PLL)in field-programmable gate arrays(FPGA),a timing-driven approach is proposed,using which all timing signals including reset gate,horizontal and vertical timing signals,are implemented in one chip.This not only reduces printed circuit board(PCB)space,but also enhances the portability of the system.By studying and calculating CCD parameters thoroughly,load capacity and power consumption,package,etc,are compared between various candidates chips,and detailed comparison results are also listed in table.Experimental results show that clock generator and driving circuit satisfy the requirements of high speed TDI CCD.

Analyzing Electric Circuits with Computer Algebra

This report shows how starting from classic electric circuits embodying commonly electric components we have reached semi-complicated circuits embodying the same components that analyzing the signal characteristics requires a Computer Algebra System. Our approach distinguishes itself from the electrical engineers’ (EE) approach that relies on utilizing commercially available software. Our approach step-by-step shows how Kirchhoff’s rules are applied conducive to the needed circuit information. It is shown for the case at hand the characteristic information is a set of coupled differential equations and that with the help of Mathematica numeric solutions are sought. Our report paves the research road for unlimited creative similar circuits with any degree of complications. Occasionally, by tweaking the circuits we have addressed the “what if” scenarios widening the scope of the investigation. Justification of the accuracy of our analysis for the generalized circuits is cross-checked by arranging the components symmetrizing the circuit leading to an intuitively predictable reasonable result. Mathematica codes are embedded assisting the interested reader in producing and extending our results.

模拟集成电路设计课程实验项目驱动式教学改革

基于高校模拟集成电路设计课程实验项目分散且教学目标不明确,缺乏系统性和工程应用性,提出了项目驱动式教学改革。以与企业合作的工程项目为基础设立实验项目,并分解成由易及难的多个实验题目,分阶段、分步骤完成实验内容,最终完成模拟集成电路设计全流程实验,以“带隙基准电压源芯片全定制设计实验”为例阐述了实施步骤。课程实验项目采用驱动式教学加深了学生对课程内容的理解,有助于培养学生扎实的工程实践能力。

采用量化任务驱动的混合式教学研究——以“电路原理实验”课程为例

线上线下混合式教学是目前高校常见的教学模式,但在其应用中学生的学习效果特别是线上部分难以保证。任务驱动式教学是一种通过任务来引导学生主动应用学习资源进行探究的教学方法。探索了在混合式教学中应用量化任务驱动的教学方法,教师预先对每一环节进行任务设定,且任务采用可量化评价的问卷或题目形式,形成清晰的评价目标,引导学生主动有效地学习。此方法在“电路原理实验”课程教改实践中取得了较好的效果。

基于CDIO项目驱动的《电路分析》课程教学方法改革研究

针对目前高校《电路分析》教学中存在的重理论轻实践、内容多课时少等问题,引入基于Multisim软件的CDIO项目驱动教学模式对课程进行教学改革,提出了具体的改革方法和措施。实践表明,所提的教学方法结合了Multisim仿真教学和CDIO项目驱动教学的优点,不但能将知识学习延伸到课堂之外,还能利用项目驱动将理论知识和实践教学有机结合,通过项目C D I O四个阶段的实施增强学生的创新意识、团队精神以及分析和解决实际问题的能力。

基于临界超标样本扩充的数据驱动短路电流超标精准校验方法

短路电流超标校验中,针对现有技术在临界超标场景下存在计算精度不足、易误判的缺陷,提出一种基于临界超标样本扩充的数据驱动短路电流超标精准校验方法。首先,在短路电流领域首次采用生成对抗网络(generative adversarial networks,GAN)产生与蒙特卡洛模拟具有相同效力的大量样本,再筛选其中的临界超标样本;其次,设计了一种临界超标占比高、非临界超标占比低的新型样本构成方式,据此融合GAN生成临界超标样本与蒙特卡洛仿真样本以形成数据驱动样本集;继而,采用数据驱动的代表性回归算法LightGBM开展短路电流超标校验;最后,仿真结果表明所提方法能有效提高短路电流超标的校验准确度,相比其他物理计算方法和数据驱动方法具有更高效率和计算精度,以及更快的计算速度。

集成电路专业项目式实验教学改革与实践

构建互融互通的实习实践课程平台并基于此开展项目式教学对培养具有创新精神和实践能力的卓越人才有着十分重要的作用。对集成电路专业综合实验进行了顶层设计,以“集成电路工程实践”课程为例,阐述了实验教学改革情况和课程思政同项目驱动式教学方法的融合,进而提出了应有的政策保障措施,为新形势下高校面向国家战略需求,利用项目式教学方法培养卓越人才提供参考。

“数字电路与逻辑设计”课程改革与实践

针对“数字电路与逻辑设计”课程教学过程存在的问题,以培养学生系统设计能力、软硬件协同设计和调试能力为目标,完善教学大纲和课件,建设“学习通”线上课程教学资源,采取线上线下混合教学模式,制作微课视频和课程案例库,增加课程大作业,重新修订实验指导书,采取多元化的考核和评价体系。实践表明,课程改革实施效果较好,提高了学生工程实践能力,兼顾了基础和系统的人才培养导向。

基于等效电路与数据驱动模型的锂离子动力电池SOC估计技术

该文以二阶等效电路模型作为电池工作特性描述模型,分别利用无迹卡尔曼滤波算法、基于Sage-Husa自适应滤波思想的SR-AUKF算法估算锂电池的SOC值,对不同初始值条件下、不同噪声方差下2种算法的SOC估计及绝对误差曲线进行对比分析。而后在数据驱动模型下,在单独利用门控循环单元神经网络算法估算SOC后,再将之与无迹卡尔曼滤波算法组合应用,对不同工况及温度条件下2种算法的SOC估计结果及绝对误差进行比对,得到等效电路模型、数据驱动模型下锂离子动力电池SOC估计的最佳算法。

数据驱动下造纸过程短期电力负荷预测研究

造纸过程中对于短期电力负荷量的设置,参考预测值结果,因此若发生实际负荷量大于预测结果的情况,则会导致造纸工作任务的失败。为顺利实施造纸工作任务,针对数据驱动下的造纸过程短期电力负荷预测方法展开研究。按照数据驱动模型定义条件,设计电力等效电路,并以此为基础,求解短期电力负荷空间方程,完成数据驱动下的造纸过程短期电力负荷量预估。基于数据驱动模型,构建预测决策树组织,并根据短期电力负荷向量搜索结果,确定负荷值预测参数的实际取值范围,实现数据驱动下造纸过程短期电力负荷预测方法的设计。实验结果表明,依照数据驱动模型预测值设置短期电力负荷量,可以确保实际负荷量不超过预测结果,不会造成造纸工作任务失败的问题。

创新驱动视域下常州市集成电路产业市场现状及发展策略研究

集成电路是新一代信息技术产业的中枢和关键,事关国家信息安全和经济高质量发展。常州市作为长三角经济带中重要成员之一,集成电路产业能级有待进一步优化提升。基于对当前常州集成电路产业市场现状的梳理调研,明确该市集成电路产业发展特点。从加强产业方向创新引导、完善产业创新政策体系、更新产业资金供应模式、提速产业人才创新培育四个维度提出创新发展具体实施策略,驱动常州市集成电路产业高质量发展。

火电厂供热技改项目新增用电负荷分析研究

为满足城市供热和响应电网调度需求,各热电联产机组都在加快实施相应的供热技改项目。改造过程中,由于新增工艺设备用电负荷较大,经常遇到厂用电裕量不足的问题。本文通过实际案例,依据厂用电设计规程对设计负荷进行校核,同时对工艺设备实际运行工况进行分析,采用负荷率法重新校核。理论分析和实际运行数据均表明供热技改项目对厂用电负荷的影响较小,多数技改项目无需实施高厂变增容或增设高厂变。

Research and Progress of Service Driven Optical Switching Network in China

National R&D activities on optical switching networkare introduced. Optical switching network testbedswere established in China including 3T-net andOBS ring and mesh network test-bed with the supportof national '863' program. As an importantmodule in OPS network, a novel all-optical serialmulticast mode is discussed.

A RANDOM SEQUENCE GENERATOR BASED ON CHAOTIC CIRCUITS

In this paper, a random sequence generator based on chaotic circuits is presented.Fundamental principle and experimental circuit have been carried out in case of Chua's circuit.The statistical results are in good agreement with probability characteristics of random sequence.

智能电子产品装调课程的技能教学实践

阐述智能电子产品装调课程教学的现状,课程融合了模拟电路、数字电路、传感器技术的特点,探讨智能电子产品装调课程的教学实践,包括总体目标、教学内容设计,教学方法和教学手段的应用,分析项目导向、任务驱动式教学的成果。

数据—物理融合驱动的含新能源电网短路电流超标评估策略

目前含新能源电网短路电流超标问题日益严重,因其状态变化更快、幅度更大,离线的短路电流超标分析可能无法穷尽超标场景,在线实时分析具有相当的必要性。考虑到主流物理模型计算方法难以满足在线计算速度需求,更快速的计算具有重大意义,因此,提出一种数据—物理融合驱动的短路电流超标评估策略。首先,在分析影响短路电流主要因素的基础上,为了提高计算速度,将原先特征降维为仅考虑负荷的影响,再结合最优潮流及随机模拟生成大量样本集合,通过机器学习算法训练得出数据驱动模型,在此基础上,使用漏检率和误检率对数据模型进行阈值整定;然后,利用数据驱动模型初步筛选短路电流超标场景;最后,通过最新研究中所提理论物理模型对初筛后的短路电流场景进行高精度校验,并在含光伏电源的IEEE 39节点模型上进行验证。仿真结果表明:该策略可在确保不遗漏超标短路电流场景的前提下有效提升校验速度。

项目驱动的电力电子实验教学研究与探索

设计了基于项目驱动的电力电子实验教学模式,学生设计并研制一台具有实际工程意义的高性能指标要求的电力电子变换电源。课程从主电路拓扑的原理分析、参数设计,到辅助电路和控制电路“模块化、积木式”的调试,引导学生以团队合作的形式完成电源产品的全周期研发,包括设计、调试、分析优化等。该模式将学生学习的重难点分解到各个阶段的任务中,培养学生系统整合、学以致用以及解决实际工程问题的能力。