数据挖掘在电信欺诈侦测中的应用

电信领域欺诈现象比较突出,文章对数据挖掘技术在电信欺诈侦测中的应用进行研究,并利用某移动运营商的真实数据进行有效性验证.具体通过商业理解、数据理解、数据准备、模型生成、模型应用等几个步骤完成欺诈的侦测.在模型生成阶段利用聚类算法中的Kohonen神经网络算法,Kohonen是一种自组织学习算法.     

因特网上视频监控系统QoS的研究

本文研究因特网上视频监控系统QoS的问题,网络基于TCP协议,从工程实际应用的角度,采用移动侦测功能,在服务器端进行应用层开发.这种系统在充分利用带宽的情况下,同时满足用户对视频信息的需求.     

基于树莓派的移动监控小车设计

移动监控小车设计目的是在危险场合实现对场景的实时监控。移动监控小车基于树莓派平台搭建,其他硬件模块有L298N电机驱动器、超声波模块、树莓派摄像头等,经过正确的程序调试后,该移动小车能实现在指定场合巡视监控,并将监控录像通过Wi-Fi网络实时传送给手机、平板电脑、计算机等终端设备。在监控途中,移动小车还具有避开障碍物前进功能。     

一种基于背景剪除的视频检测方法

文章主要针对视频监控系统中滞留物体和遗失物体的侦测问题,提出了一种实时的监测方法。该方法主要包括以下步骤:首先,利用背景剪除算法进行目标物体的分割;然后,将提取目标划分为动态或静态物体;最后,采用一种决策模型计算所发生事件的置信度,并且在置信度偏离设定阈值时自动触发警报。实验结果验证文章算法有效性。     

无线移动感知网络性能监控系统设计与应用

传统无线移动网络性能监控系统存在移动无线网络数据交互量监测准确度差、数据监测经常出现数据断层现象。同时,传统无线移动网络性能监控系统在移动数据多路交互检测中出现多路数据逻辑混乱现象。针对上述现象产生的根源,依托智能大数据互联网统计技术,提出无线移动感知网络性能监控系统设计方法。经过仿真实验测试证明,提出的无线移动感知网络性能监控系统各项性能表象出色,满足无线移动感知网络性能监控领域日常应用的要求。     

基于流媒体技术的3G移动视频监控系统研究

随着3G无线宽带通讯技术是当前移动通讯的发展,高质高速提供移动数据变为了现实。依托3G网络,通过集成视音频压缩、流媒体管理、数据传输等技术,采用H.264算法实现的远程实时数字视频监控系统,拓展目前固定式监控方式,为用户带来极大的便利。     

基于B/S的建筑灾情远程监控系统

为了有效保护高层建筑内人员的生命和财产安全,采用PHP和my SQL数据库技术设计了一个基于无线传感器网络的建筑灾情远程监控系统。该系统实现了建筑内环境参数和建筑结构参数的实时采集,传感数据经灾害判定算法处理分析后,将结果以Web形式发布,用户可以通过移动或固定终端远程登录监控系统网页查询建筑灾害信息,并可通过网页对监控系统进行远程控制。     

基于Processing的移动物体追踪定位

本文主要介绍了利用Processing互动媒体制作软件结合摄像头、实现了一种对于移动物体追踪定位的方法,系统通过摄像头监控前方区域,设计人机交互界面,实时显示摄像头采集到的图像,在Processing中根据彩色图像RGB分量值的变化通过背景相减法来追踪物体,并且通过确定该物体在摄像头区域中的坐标,实现对移动物体的追踪定位。     

基于DM8127的四通道智能驻车监控系统实现

文章以TI公司的Davinci系列TMS320DM8127处理器为核心,构建了四通道的采集、处理、检测和分析于一体的智能视频汽车驻车四周监控系统。系统采用TVP5158作为模拟视频解码器,配合TI公司的IPNC系统软件框架并调用DMVAL库作为检测算法,完成周边监控记录和目标检测。在此基础之上,论文设计出有效的综合预警算法和运动目标点分组算法,从而实现了对汽车周边的徘徊、滞留目标(人体)自动报警的智能安防系统。     

智能家居中视频运动侦测技术浅析

随着网络技术及应用范围的日益普,家具生活的智能化也有了长足的发展。其中对于家庭环境、办公环境等的智能视频监控能够对监控画面中的人、车辆、动物的行为进行判别,并根据用户提前设定的提示条件进行提示。本文针对视频监控中的运动侦测技术进行简要的分析。     

数字视频远程监控系统开发研究

随着网络在我国的普及和高速发展,基于网络的视频监控系统正在成为蓬勃发展的一种新的网络多媒体典型应用.数字视频监控系统也是一个非常庞大的系统,涉及到硬件、软件等许多复杂的技术,设计一个科学的监控方案是实施视频监控系统的一个关键步骤.本文将探讨整个系统方案的设计,如何规划整个监控模型,并提出监控系统模型、功能模型、信息模型以及关键技术实现。     

An integrated data-driven Markov parameters sequence identification and adaptive dynamic programming method to design fault-tolerant optimal tracking control for completely unknown model systems

In this paper, an integrated design of data-driven fault-tolerant tracking control is addressed relying on the Markov parameters sequence identification and adaptive dynamic programming techniques. For the unknown model systems, the sequence of Markov parameters together with the covariance of innovation signal is firstly estimated by least square method. After a transformation of value function from stochastic to deterministic, a policy iteration adaptive dynamic programming algorithm is then formulated to find the optimal tracking control law. In order to eliminate the influence of unpredicted faults, an active fault-tolerant supervisory control strategy is further constructed by synthesizing fault detection, isolation, estimation and compensation. All these involved designs are performed in the data-driven manner, and thus avoid the information requirement about system drift dynamics. From the perspective of system operation management, the above integrated control scheme provides a framework to achieve the tracking performance optimization, monitoring and maintaining simultaneously. The effectiveness of these conclusions is finally verified via two case studies.     

Master–slave chaos synchronization using adaptive TSK-type CMAC neural control

In this paper, an adaptive TSK-type CMAC neural control (ATCNC) system via sliding-mode approach is proposed for the chaotic symmetric gyro. The proposed ATCNC system is composed of a neural controller and a supervisory compensator. The neural controller uses a TSK-type CMAC neural network (TCNN) to approximate an ideal controller and the supervisory compensator is designed to guarantee system stable in the Lyapunov stability theorem. The developed TCNN provides more powerful representation than the traditional CMAC neural network. Moreover, all the control parameters of the proposed ATCNC system are evolved in the Lyapunov sense to ensure the system stability with a proportional–integral (PI) type adaptation tuning mechanism. Some simulations are presented to confirm the validity of the proposed ATCNC scheme without the occurrence of chattering phenomena. Further, the proposed PI type adaptation laws can achieve faster convergence of the tracking error than that using integral type adaptation laws in previous published papers.     

Auto-structuring fuzzy neural system for intelligent control

An auto-structuring fuzzy neural network-based control system (ASFNS), which includes the auto-structuring fuzzy neural network (ASFNN) controller and the supervisory controller, is proposed in this paper. The ASFNN is used as the main controller to approximate the ideal controller and the supervisory controller is incorporated with the ASFNN for coping with the chattering phenomenon of the traditional sliding-mode control. In the ASFNS, an automatic structure learning mechanism is proposed for network structure optimization, where two criteria of node-adding and node-pruning are introduced. It enables the ASFNN to determine the nodes autonomously while ensures the control performance. In the ASFNS, all the parameters are evolved by the means of the Lyapunov theorem and back-propagation to ensure the system stability. Thus, an intelligent control approach for adaptive control is presented, where the structure and parameter can be evolved simultaneously. The proposed ASFNS features the following salient properties: (1) on-line and model-free control, (2) relax design in controller structure, (3) overall system stability. To investigate the capabilities, the ASFNS is applied to a kind of nonlinear system control. Through the simulation results the advantages of the proposed ASFNS can be validated.     

MEMS陀螺仪在检测小车运动状态中的应用

研究了MEMS陀螺仪在检测小车运动状态的应用,利用陀螺仪等组成的运动状态检测系统采集陀螺仪实时传回的数据,快速、可靠地对小车运动状态进行检测,实时、准确地检测出自动小车的偏转角度.从而实现自动小车稳定、快速地控制.     

二氟一氯甲烷生产装置温度监控系统的设计与实现

本文介绍了二氟一氯甲烷生产装置温度监控系统的设计。该系统以PLC为核心,采用分段控制算法,成功地实现了反应器的实时控制和远程监控。系统操作界面友好,控制精度高,实用性强,有较好的推广应用价值。     

铁路车站电力载波照明监控系统

介绍了一种基于电力载波通信技术的铁路车站照明监控系统的工作原理和组成,并以工程为例说明系统的实际应用情况.实际运行表明,该系统能够提高铁路车站照明设备的自动化管理水平,并能实现节能降耗的目的.     

集控站综合监控系统的应用

本文提出了一套新型的集控站综合监控系统。此系统是将现有的调度自动化、遥视技术、语音通讯调度进行智能化整合。系统采用智能控制中心（Control Center）和多个智能控制单元（Control Unit）的平台化机制,实现了调度自动化、遥视技术与语音通讯调度功能的有机融合。     

Assigning appropriate weights for the linear combination data fusion method in information retrieval

In data fusion, the linear combination method is a very flexible method since different weights can be assigned to different systems. However, it remains an open question which weighting schema should be used. In some previous investigations and experiments, a simple weighting schema was used: for a system, its weight is assigned as its average performance over a group of training queries. However, it is not clear if this weighting schema is good or not. In some other investigations, different numerical optimisation methods were used to search for appropriate weights for the component systems. One major problem with those numerical optimisation methods is their low efficiency. It might not be feasible to use them in some situations, for example in some dynamic environments, system weights need to be updated from time to time for reasonably good performance. In this paper, we investigate the weighting issue by extensive experiments. The key point is to try to find the relation between performances of component systems and their corresponding weights which can lead to good fusion performance. We demonstrate that a series of power functions of average performance, which can be implemented as efficiently as the simple weighting schema, is more effective than the simple weighting schema for the linear data fusion method. Some other features of the power function weighting schema and the linear combination method are also investigated. The observations obtained from this study can be used directly in fusion applications of component retrieval results. The observations are also very useful for optimisation methods to choose better starting points and therefore to obtain more effective weights more quickly.     

A design of fine motion assist equipment for disabled hand in robotic rehabilitation system

This paper reports a newly designed system intended to aid in hand rehabilitation. The motion assistance equipment consists of three parts: mechanisms for the fingers and thumb, a base of these mechanisms, and a motion assistance mechanism for the wrist. The structure of each mechanism is designed to achieve independent, fine motion assistance, especially, for the individual fingers. First, the features of each mechanism in the equipment are explained. Next, the control systems are introduced, which are constructed to realize a self-motion control strategy (i.e., the motion is controlled by its user). Using this control system, the transient response and steady state characteristics of the motion assistance mechanisms for the thumb are evaluated. Consequently, the possibility of practical application is found in regard to some improved points.