多元智能化的职业教育课程教学案例分析

阐述多元智能化视角下的职业教育课程教学特点，课程教学中多元智能化教学案例，包括定位智能化应用与课程教学创新切入点、智能化教学活动的设计、混合模式的平行教学模块设置。     

基于用户画像的暖通空调智能调控

目前，建筑物中的暖通中央空调系统基本上是根据行业准则设置的，然而，多项研究表明，由于用户的偏好、姿态和需求各异，这种传统做法不太可能满足大多数用户的热量需求。为了更精准地满足用户热量需求，使得基于用户行为模式来针对性提高热舒适性成为可能。文中采用深度强化学习的方法实现智能化暖通空调智能送风策略，该策略能够根据环境和用户行为模式动态地确定最佳暖通空调设置（温度设置和送风设置），从而极大提高用户的热舒适度，同时，实验结果还表明该智能调控策略相比传统固定值控制策略具有一定的节能效果。     

智能化光功率计AY-2494

本文着重介绍智能化光功率计Ay-2494的自校,dB功能和校准系数的设置以及显示。应用MCS-48系列的8035单片微机使得智能化光功率计Ay-2494具有多种功能和许多独到之处。     

智能化家庭网络的研究

随着信息时代的不断前进,智能化家庭已经成为一个趋势。在二十一世纪,人们对生活品质的要求也越来越高,智能化家庭的应用得到大家广泛关注。智能化家庭网络技术的开发是通过网络系统通讯和控制结构面向对象的分布式系统,网关采用的是嵌入式的系统构造,可以进行遥控功能的设置,实现家庭智能化网络。但是智能化家庭的发展还需要多的研究和开发,虽然智能化家庭网络已经走进住宅和家庭中,但是局限比较大,只限于一些高档的住宅和小区,智能化家庭网络还在不停地发展。     

远程电子时控开关设计

本文介绍了一种基于公用电话网的远程电子时控开关的设计思想、单元电路组成、抗干扰设计等，该定时器可以作为家庭电子定量开关使用，实现了远程定时设置功能，是一种网络时代面向广大普能家庭，实现家居智能化的一种开关控制器。     

软交换的信令路由设置

哈尔滨本地网已完成了智能化改造,所有呼叫已全部上移软交换,呼叫的控制信令通过LSTP转接,软交换信令路由的设置,会影响到全网的链路负荷分担,分析了如何设置软交换信令路由的问题。     

软交换的信令路由设置

哈尔滨本地网已完成了智能化改造,所有呼叫已全部上移软交换,呼叫的控制信令通过LSTP转接,软交换信令路由的设置,会影响到全网的链路负荷分担,分析了如何设置软交换信令路由的问题.     

智能抢答器的研制

智能抢答器是由单片机控制系统和高亮度数码显示器组成的新型智能化产品，该产品不仅能对一至八路抢签信号进行自动判定，而且可方便地对各路积分进行操作设置的近地－远地显示系统可供操作台监控以及显示各路积分。     

三星 SyncMaster770 TFT液晶显示器

宽阔的视野,倩丽的造型,智能化设置,无不体现专业水准,是高端商业用户应用的首选     

南景园数字社区及RFID应用示范社区规划方案

在简要介绍了南景园数字社区建设背景之后,详细阐述了数字社区设计理念,概述了数字社区总体设计原则和系统设计规范,具体分析了数字社区系统架构,最后介绍了对智能化系统设置及实现功能归类以及智能化系统总体规划设计方案要求.     

宽频单相智能电能表的设计

基于智能电表具有宽频接收、数据的保护、报警功能、断电的显示、负荷的控制、防窃电功能、远程抄表系统等,且具有自动修正误差和自诊断的能力,为使普通电能表实现智能化,本文提出了一种基于ATMEGA16单片机的测试系统设计方案,并完成系统的硬件改进设计,实现数据的传输、费率的计算、数据的显示、报警、远程抄表控制,以使电表实现智能化。     

智能采集设备仿真系统设计与实现

为了提高采集软件开发与测试周期,在此设计了一种可模拟多型号智能采集设备的仿真系统。系统采用高性能、低功耗的ARM微处理器,有丰富的通信接口模块。只需通过在上位PC机进行相应设置,这种仿真系统可提供与某些设备相同通信协议的数据格式,并可同时模拟多种型号的智能采集设备。在采集软件开发中,可替代智能设备测试采集程序。在此结合了嵌入式技术和仿真技术,开发了一种新型采集软件测试系统。利用所开发的原型系统验证了设计方案的有效性。     

基于VB环境下远程I/O模块的上位机程序设计

为了将智能仪表测量的现场数据上传至计算机,首先分析了一种智能仪表的通信协议,然后通过MSComm控件实现上位机和下位机的串口通信,实现相关参数的设置和数据的发送接收。     

Evolution, neural networks, games, and intelligence

Mathematical games provide a framework for studying intelligent behavior in models of real-world settings or restricted domains. The obstacle comes in choosing the appropriate representation and learning algorithm. Neural networks and evolutionary algorithms provide useful means for addressing these issues. This paper describes efforts to hybridize neural and evolutionary computation to learn appropriate strategies in zero- and nonzero-sum games, including the iterated prisoner's dilemma, tic-tac-toe, and checkers. With respect to checkers, the evolutionary algorithm was able to discover a neural network that can be used to play at a near-expert level without injecting expert knowledge about how to play the game. The implications of evolutionary learning with respect to machine intelligence are also discussed. It is argued that evolution provides the framework for explaining naturally occurring intelligent entities and can be used to design machines that are also capable of intelligent behavior     

基于Agent的网络安全系统设计与实现

随着现代信息技术和计算机技术的发展,网络安全成为人们关心的话题。本文采用多Agent智能体系技术,将每个网络安全防范体系设置到每一个合法的用户终端上面,而现在的网络安全大都集中在防火墙技术等,因此,本文提出采用Agent安全审计模块实现对系统的安全保障。     

On the Feasibility of the Link Abstraction in Wireless Mesh Networks

Outdoor community mesh networks based on IEEE 802.11 have seen tremendous growth in the recent past. The current understanding is that wireless link performance in these settings is inherently unpredictable, due to multipath delay spread. Consequently, researchers have focused on developing intelligent routing techniques to achieve the best possible performance. In this paper, we are specifically interested in mesh networks in rural locations. We first present detailed measurements to show that the PHY layer in these settings is indeed stable and predictable. There is a strong correlation between the error rate and the received signal strength. We show that interference, and not multipath fading, is the primary cause of unpredictable performance. This is in sharp contrast with current widespread knowledge from prior studies. Furthermore, we corroborate our view with a fresh analysis of data presented in these prior studies. While our initial measurements focus on 802.11b, we then use two different PHY technologies as well, operating in the 2.4-GHz ISM band: 802.11g and 802.15.4. These show similar results too. Based on our results, we argue that outdoor rural mesh networks can indeed be built with the link abstraction being valid. This has several design implications, including at the MAC and routing layers, and opens up a fresh perspective on a wide range of technical issues in this domain.     

基于单片机的智能太阳能路灯设计

针对太阳能路灯的超亮性和雾霾中光源的穿透性问题,文中设计了一种具有时控和光控相结合的太阳能路灯控制器,利用单片机STC12C2051和时钟芯片DS1302控制路灯照明时间,并通过低功耗的数据存储器AT24C02存储路灯点亮和熄灭时间,且利用光敏电阻实现光电控制;采用蓄电池、高亮度LED、过充过放模块组成智能控制系统。与传统的照明工具相比,其具有运动部件少、寿命长、噪音低、节能环保和方向性好等优势。     

Enhancing robustness and perturbation tolerance of cognitive radio engines with metacognition

A cognitive radio engine (CE) is an intelligent agent which observes the radio environment and chooses the best communication settings that best meet the application’s goal. In this process, providing reliable performance is one of the major tasks in designing CEs for wireless communication systems. The main purpose of this work is providing predictable performance and controlling the cost of intelligent algorithms based on the CE’s experience and complexity analysis respectively. In this work, we extend our meta-CE design to control the cost of computations and provide more reliable performance for providing the minimum requirement of the radio applications in different scenarios. To achieve this, we use robust training algorithm (RoTA) in two different levels alongside of the individual CE algorithms. The RoTA, enables radio to guarantee some minimum output performance based on the learning stages. RoTA uses confidence interval approximation for standard normal distribution to calculate the lower and upper bounds of CE’s expected performance to analyze the reliability of decisions. Moreover, in the case of non-stationary environments, RoTA is facilitated by forgetfulness factor to provide minimum performance guarantees. The second level of RoTA operates in meta-level to control the amount of computation complexity of intelligent algorithms in all levels with respect to the obtained performance and complexity analysis.     

Incremental fuzzy expert PID control

An approach to intelligent PID (proportional integral derivative) control of industrial systems which is based on the application of fuzzy logic is presented. This approach assumes that one has available nominal controller parameter settings through some classical tuning technique (Ziegler-Nichols, Kalman, etc.). By using an appropriate fuzzy matrix (similar to Macvicar-Whelan matrix), it is possible to determine small changes on these values during the system operation, and these lead to improved performance of the transient and steady behavior of the closed-loop system. This is achieved at the expense of some small extra computational effort, which can be very easily undertaken by a microprocessor. Several experimental results illustrate the improvements achieved     

一种空中智能移动通信网络架构的研讨

为了解决移动通信网络发展过程中,高密度建站面临的无法获取足够最优站址的问题,本文通过将无线通信技术、无人机技术、智能控制技术等相结合,提出在空中布设智能运动型基站,构建空中智能移动通信网络的思路。文章在详细阐述空中智能移动通信网络中智能运动型基站、基站蜂巢、智能云平台等组成部分的基础上,进一步提出了该网络架构的通信流程,并对关键技术以及下一步研究方向进行了阐述。