sinkhole detection

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Computer motherboard knowledge CPU automatic detection and hardware error detection

Computer now has become a daily necessities of life, then how much do you know about computers? The following small series for you to organize some common computer hardware knowledge, quickly to learn! Computer hardware, including all the physical parts of a computer, to differentiate between the data it contains or executes and the software that provides instructions for the hardware to complete the task. Computer hardware mainly includes: chassis, motherboard, bus, power, hard disk, storage c

Hough Forest---Hofsonin (Hough forest) target detection algorithm for target detection

Hough Forest target detection is a more fashionable target detection algorithm, Juergen Gall is proposed on 2009 CVPR.Hough Forest sounds like a combination of Hough transformation +random forest, in fact, not exactly. It is more like the combination of decision forest and regression forest plus generalized Hough Transform: Each tree in the forest is not a classification tree or a regression tree, but each

Big Data DDoS detection--ddos attack is essentially time series data, t+1 time data characteristics and T time strong correlation, so using hmm or CRF to do detection is inevitable! And a sentence of the word segmentation algorithm CRF no difference!

DDoS attacks are essentially time-series data, and the data characteristics of t+1 moments are strongly correlated with T-moments, so it is necessary to use HMM or CRF for detection! --and a sentence of the word segmentation algorithm CRF no difference!Note: Traditional DDoS detection is directly based on the IP data sent traffic to identify, through the hardware firewall. Big data scenarios are done for sl

Motion detection (foreground detection) (i) ViBe

motion detection (foreground detection) (i) ViBe Zouxy09@qq.com Http://blog.csdn.net/zouxy09 Because of monitoring the development of the demand, the current prospects of the research is still many, there have been many new methods and ideas. The personal understanding of the following is probably summed up as follows: Frame difference, background subtraction (GMM, CodeBook, sobs, Sacon, VIBE, W4, multi-fr

Idle detection for Windows Phone/system idle Detection

The Windows Phone operating system can take actions to reduce power consumption on the device when it detects that the user or the current application is in an idle state. depending on the type of application you are creating, you may need to disable idle detection for users or applications. this topic explains how to modify the operating system's idle behavior. Important Note: This Windows Phone feature has certification requi

Model Detection Tool Summary __ Model detection

Source of Self Blog http://www.yingzinanfei.com/2017/02/01/moxingjiancegongjuhuizong/ Model Detection Tool for formal specification language The SMV (Symbolic model Verifier) symbol Model Detection Tool SMV is used to detect whether a finite state system satisfies a CTL formula. Its modeling mode is in modules, modules can be synchronized or asynchronous combination, module description of the basic elements

ViBe of target detection---ViBe (Visual Background Extractor) Background modeling or foreground detection

ViBe algorithm: vibe-a powerful technique for background detection and subtraction in video sequencesJudge Net: http://www2.ulg.ac.be/telecom/research/vibe/Describe:Vibe is a pixel-level video background modeling or foreground detection algorithm, the effect is better than several well-known algorithms, the hardware memory footprint is also low.Code:The algorithm executes the efficiency test program, the Wi

[OpenCV Getting Started Guide] Article 7 Line Segment Detection and Circle Detection

[OpenCV Getting Started Guide] Article 7 Line Segment Detection and Circle Detection The Section 5 contour detection in [OpenCV Getting Started Guide] and section 6 contour detection in [OpenCV Getting Started Guide] Explain the contour detection of OpenCV. This article desc

Pedestrian detection 3 (Overview of the latest paper on Pedestrian detection)

Serial number Introduction Thesis Source 0 Summary of Pedestrian detection in PAMI in 2012:Pedestrian detection an evaluation of the state of the artPiotr dollarThis article compares many of the latest Pedestrian detection algorithms.. This paper is referred to as pami2012 Pedestrian detection a

3D object AABB collision detection algorithm, Cocos2d-x Collision Detection

3D object AABB collision detection algorithm, Cocos2d-x Collision Detection Welcome to Cocos2d-x chat group: 193411763 Reprinted please indicate the original source: http://blog.csdn.net/u012945598/article/details/39524343 Certificate ----------------------------------------------------------------------------------------------------------------------------------------------------------- After the supp

Background modeling or foreground detection (Background Generation and Foreground Detection) five ViBe

ViBe algorithm: vibe-a powerful technique for background detection and subtraction in video sequences Judge Net: http://www2.ulg.ac.be/telecom/research/vibe/ Describe: Vibe is a pixel-level video background modeling or foreground detection algorithm, the effect is better than several well-known algorithms, the hardware memory footprint is also low. Code: The algorithm executes the efficiency test program,

[CCD Image Detection] 2: Hardware Design for black/white image detection

CCDImage DetectionII> Author: 1.1 drops of beer INSTRUCTOR: Chen Zheng; Unit: whu Ii. Hardware Design for black/white image detection 2.1Power supply. Figure6:CCOfD12vPower Source Because the battery voltage of the car is 7.2 V, and the working voltage of the CCD camera is 12 V, a Boost Circuit needs to be built using a chip, as shown in figure 6. 2.2Video signal field synchronization signal separation. Figure7: Video signal

Some methods of face recognition in vivo detection of human face detection

human face recognition in vivo detection In biometric systems, in order to prevent malicious people from forging and stealing other people's biological characteristics for identity authentication, biometric systems need to have a live detection function, that is, to determine whether the submitted biological characteristics come from living individuals. In vivo detecti

Pedestrian detection 2 (Development History of Pedestrian detection)

Pedestrian detection plays a vital role in many applications in the computer vision field, such as video surveillance, vehicle driver assistance systems, and human motion capturing systems. image Pedestrian detection methods can be divided into two categories: contour matching and apparent features. the apparent feature is defined as the image feature space (also called the descriptive operator). It can be

Example: Cocos2d-x physical engine: collision detection, cocos2d-x Collision Detection

Example: Cocos2d-x physical engine: collision detection, cocos2d-x Collision DetectionCollision detection is an important purpose of using the physical engine. Using the physical engine can perform precise collision detection, and the execution efficiency is also high.Use the event dispatch mechanism in Cocos2d-x 3.x to manage collision events, and EventListenerP

Javascript feature detection is not a browser detection _ javascript skills

In his blog Featuredetectionisnotbrowserdetection of the same name, NCZ describes a popular technology that has been used in front-end development-detection of users' browser platforms, and details historical development and advantages and disadvantages of various methods. I have roughly translated some articles and may have some misunderstandings. please correct me. It is worth noting that the comments are also worth reading. Feature

Javascript feature detection is not browser Detection

I have roughly translated some Article , Which may be incorrect. please correct me. It is worth noting that the comments are also worth reading. Feature Detection At first, front-end engineers opposed browser detection. They thought the User-Agent sniffing method was very bad because it was not a future-oriented method.Code, Cannot adapt to the new version of the browser. A better way is to use feature

Interpretation of Lane Line detection Literature Series (i) A study on the detection algorithm of high-speed lane marking line based on machine vision _ Han

Author backgroundResearch on the detection algorithm of high-speed lane mark based on machine Vision _ Han 东北大学车辆工程硕士学位论文 2006年 7714】李晗. 基于机器视觉的高速车道标志线检测算法的研究[D2006. DOI:10.7666/d.y852642.`Overview of the structure of papersGrayscale of preprocessing"Highlight" mode to determine whether to select day mode or night mode: At the beginning of each detection cycle, first determine whether to u

Edge Detection class (including edge detection algorithms for operators such as Robert ts, Sobel, Prewitt, and Kirsch)-column of wtuyzh-csdnblog

Edge Detection (including edge detection algorithms for operators such as Robert ts, Sobel, Prewitt, and Kirsch)Public class edgedetect: imageinfo{/*************************************** *********************** Robert ts, Sobel, Prewitt, Kirsch, gausslaplacian* Horizontal detection, vertical detection, edge enhancemen

Principle and application of accelerometer-mobile phone rollover, weightlessness detection, motion detection, position recognition

This paper introduces the characteristic principle and application scenario of the-LIS3DH accelerometer sensor for wearable devices. ST's LIS3DH is widely used in smart wearable products such as smart hand loops and smart step shoes.LIS3DH has two ways of working, one of which is that it has built-in algorithms to handle common scenarios such as standstill detection, motion detection, screen flipping, weigh

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