LM339N、HEF4011B在冰箱电子温控中的应用

本文论述了以芯片构成的电子温控器完成温度检测、温度调节和温度控制等功能,着重介绍了LM339N、HEF4011B的应用过程。     

水温测量系统设计

本设计的主要内容就是要实现温度信号的转挟和水温的播报,为了提高测量精度,在电路设计时对所要应用的电子元件作了精心的选择,运用PT100,LM524,AD620,TL451等元件进行信号的转换,将温度信号转换为电压信号。     

解救身陷传销学生案例的启示

传销是一种具有极强欺骗性的非法活动,研究生陷入传销的事件时有发生。本研究报告了一个解救陷入传销陷阱学生的案例,从社会氛围、传销组织、高校管理和社会认知角度对研究生陷入传销的原因进行了分析,并从提高防范意识、提升研究生素质、构筑防护体系三方面提出了教育建议。     

基于ZigBee技术的课室防盗监控系统

针对目前课室多媒体设备不断增加,为加强课室教学设备的管理,提高安防效果,提出了一种基于zigBee技术的课室防盗监控系统方案.该系统可以通过红外传感器监测并通过无线传输模块将现场情况传送给监控主机,使校园安保人员能迅速得到警情发生位置信息,及时赶赴现场处理.该系统安装方便、报警迅速,有效地解决了课室的防盗问题.     

也谈员工满意度与员工流失

员工流失是很多组织面临的一个共同问题,是员工与组织进行联合决策的结果.提高员工的满意度是留住员工、用好员工、防止员工流失的关键.从经济学角度出发,分析了员工流失的主体和原因,并提出了相应的对策.     

基于LM和SA的混合优化算法

针对LM算法及模拟退火算法各自存在的不足,提出一种交替使用二者的混合优化算法（SALM算法）.该算法先通过模拟退火算法粗调得到一组全局最优近似解,再以该近似解为初值,交替使用模拟退火算法和LM算法,直至发现满意的最优解.实验结果表明,新算法不但具有模拟退火算法的全局收敛特性而且保留了LM算法的局部收敛速度,克服了单纯模拟退火算法所产生的随机性和概率性问题,也弱化LM算法对初始条件的依赖程度,保证了求解的速度和精度。     

LM1893在智能小区安防系统中的应用

基于LM1893设计了一个智能小区防盗报警系统.该系统以STC89C52为控制核心,以LM1893电力线载波通讯芯片为基础,设计了区域控制中心的硬件接口电路,给出了主、从机通信软件的流程及通信协议.该通讯系统具有功能齐全、结构简单、设计成本低、系统组织灵活等特点,特别适合单变压器供电区域内用户之间的数据通讯.     

半双工对讲机的设计与制作

移动通信技术包括很多种类，无线对讲机也是移动通信中一个重要的分支。本论文研究设计了一款调频无线对讲机，主要是指导学生选电路，选元器件，组装调配，把移动通信技术以及它的前沿课程：电路分析，模扣电子电路，高频电子电路等结合起来，使学生更直观的了解移动通信，同时也加深理论知识的理解。     

Live and learn from mistakes: A lightweight system for document classification

We present a Life-Long Learning from Mistakes (3LM) algorithm for document classification, which could be used in various scenarios such as spam filtering, blog classification, and web resource categorization. We extend the ideas of online clustering and batch-mode centroid-based classification to online learning with negative feedback. The 3LM is a competitive learning algorithm, which avoids over-smoothing, characteristic of the centroid-based classifiers, by using a different class representative, which we call clusterhead. The clusterheads competing for vector-space dominance are drawn toward misclassified documents, eventually bringing the model to a “balanced state” for a fixed distribution of documents. Subsequently, the clusterheads oscillate between the misclassified documents, heuristically minimizing the rate of misclassifications, an NP-complete problem. Further, the 3LM algorithm prevents over-fitting by “leashing” the clusterheads to their respective centroids. A clusterhead provably converges if its class can be separated by a hyper-plane from all other classes. Lifelong learning with fixed learning rate allows 3LM to adapt to possibly changing distribution of the data and continually learn and unlearn document classes. We report on our experiments, which demonstrate high accuracy of document classification on Reuters21578, OHSUMED, and TREC07p-spam datasets. The 3LM algorithm did not show over-fitting, while consistently outperforming centroid-based, Naïve Bayes, C4.5, AdaBoost, kNN, and SVM whose accuracy had been reported on the same three corpora.     

Effect of time on biomechanics during exercise on the functional re-adaptive exercise device

ABSTRACT

Mechanistic studies of the Functional Re-adaptive Exercise Device (FRED) have shown it automatically recruits Lumbar Multifidus (LM) and Transversus Abdominis (TrA) – two deep-spinal muscles that are atrophied and show altered motor control in low back pain (LBP). No studies have investigated the time required to familiarise to FRED exercise, which is required to inform future FRED based clinical trial protocols. This study therefore determined the effect of time, during FRED exercise, on biomechanical outcome measures, to establish the familiarisation period, and assess for loss of technique throughout a ten minute trial. A cohort comparison study of 148 participants, 70 experiencing low back pain, had lumbopelvic kinematics, exercise frequency and movement variability measured during a 10 minute trial. Magnitude-based inference was used to assess for familiarisation, using plots of variation over time with familiarised reference ranges. The no pain group took 170 seconds, and the back pain group took 150 seconds, to familiarise. A familiarisation period of at least 170 seconds (2.8 minutes) is recommended. This justifies, and provides a familiarisation time for use of the FRED as a motor control intervention.