The Experts below are selected from a list of 26805 Experts worldwide ranked by ideXlab platform

Hongli Liu - One of the best experts on this subject based on the ideXlab platform.

  • The Outlier and Integrity Detection of Rail Profile Based on Profile Registration
    IEEE Transactions on Intelligent Transportation Systems, 2020
    Co-Authors: Xiaoyun Zhong, Hongli Liu
    Abstract:

    For rail wear measurement, the process of profile registration is critical. Nowadays, the widely used method is the rail waist double circle segment method (DCS). However, this method may be invalid in actual applications because of the influence of the following two factors: one is the outliers mixed into profiles and the other is the profile diversity. The former induces the misalignment between the measured profile and the standard one, and the latter may destroy the Integrity of rail waist, which makes that the measured profile cannot be matched with the standard one through DCS. To solve the two problems, a hybrid profile registration method is proposed in this paper. First, by locating new matching primitives to realize coarse registration, we check the profile Integrity fast. Then, for complete profile, we rematch its original measured profile with the standard one finely based on DCS to detect and remove the outliers correctly. The efficiency and superiority of the proposed method were verified by numerous experiments. The results show that the average score of F1-Measure for outlier Detection reaches 0.95, which outperforms some classical models obviously. Meanwhile, the result of the profile Integrity check is also basically coincided with the real face of test zones. Furthermore, the system can run at a speed of 21.95 km/h under our experimental setup, which is far higher than that of the rail maintenance train (up to 5 km/h).

Xiaoyun Zhong - One of the best experts on this subject based on the ideXlab platform.

  • The Outlier and Integrity Detection of Rail Profile Based on Profile Registration
    IEEE Transactions on Intelligent Transportation Systems, 2020
    Co-Authors: Xiaoyun Zhong, Hongli Liu
    Abstract:

    For rail wear measurement, the process of profile registration is critical. Nowadays, the widely used method is the rail waist double circle segment method (DCS). However, this method may be invalid in actual applications because of the influence of the following two factors: one is the outliers mixed into profiles and the other is the profile diversity. The former induces the misalignment between the measured profile and the standard one, and the latter may destroy the Integrity of rail waist, which makes that the measured profile cannot be matched with the standard one through DCS. To solve the two problems, a hybrid profile registration method is proposed in this paper. First, by locating new matching primitives to realize coarse registration, we check the profile Integrity fast. Then, for complete profile, we rematch its original measured profile with the standard one finely based on DCS to detect and remove the outliers correctly. The efficiency and superiority of the proposed method were verified by numerous experiments. The results show that the average score of F1-Measure for outlier Detection reaches 0.95, which outperforms some classical models obviously. Meanwhile, the result of the profile Integrity check is also basically coincided with the real face of test zones. Furthermore, the system can run at a speed of 21.95 km/h under our experimental setup, which is far higher than that of the rail maintenance train (up to 5 km/h).

Fukuo Chang - One of the best experts on this subject based on the ideXlab platform.

  • development of a real time active pipeline Integrity Detection system
    Smart Materials and Structures, 2009
    Co-Authors: Xinlin Qing, Shawn J Beard, Shyan Bob Shen, Sourav Banerjee, Ian Bradley, Mamdouh M Salama, Fukuo Chang
    Abstract:

    Utilizing the SMART Layer technology as a basis, a real-time active pipeline Integrity Detection (RAPID) system is developed for built-in in?situ assessment of the health of new and existing pipelines. The RAPID system consists of a sensor network permanently mounted on the host pipeline, portable electronic hardware and diagnostic software. Three moduli, including image display, damage sizing, and corrosion depth, are built into the diagnostic software to help in visualization of the approximate location and the extent of corrosion, and to quantify the corrosion sizing and depth. The main advantages of the RAPID system include: (1) ease of use, (2) ability to provide a well-defined resolution, (3) reliability with self-diagnostic and environmental compensation, and (4) quantified corrosion sizing. To verify the Detection capability of the RAPID system, a series of tests have been conducted on a 6.7?m long steel pipe with a diameter of 610?mm and a wall thickness of 7.14?mm with ten different types of corrosion flaws. Test results demonstrated that the depth Detection limit could be as low as 0.125?mm for general corrosion with an area of 60?mm ? 60?mm under laboratory conditions, while a pinhole with 6.35?mm diameter and 3.5?mm depth can be detected with the given sensor density. Some practical issues for field applications of the RAPID system are also discussed.

Heejo Lee - One of the best experts on this subject based on the ideXlab platform.

  • broken Integrity Detection of video files in video event data recorders
    Ksii Transactions on Internet and Information Systems, 2016
    Co-Authors: Choongin Lee, Jehyun Lee, Youngbin Pyo, Heejo Lee
    Abstract:

    As digital evidence has a highly influential role in proving the innocence of suspects, methods for Integrity verification of such digital evidence have become essential in the digital forensic field. Most surveillance camera systems are not equipped with proper built-in Integrity protection functions. Because digital forgery techniques are becoming increasingly sophisticated, manually determining whether digital content has been falsified is becoming extremely difficult for investigators. Hence, systematic approaches to forensic Integrity verification are essential for ascertaining truth or falsehood. We propose an Integrity determination method that utilizes the structure of the video content in a Video Event Data Recorder (VEDR). The proposed method identifies the difference in frame index fields between a forged file and an original file. Experiments conducted using real VEDRs in the market and video files forged by a video editing tool demonstrate that the proposed Integrity verification scheme can detect broken Integrity in video content.

Xia Jiewu - One of the best experts on this subject based on the ideXlab platform.

  • file Integrity checking system based on message digest function
    Microelectronics & Computer, 2010
    Co-Authors: Xia Jiewu
    Abstract:

    We design and implement the file Integrity checking system based on message digest function,using C# language in Microsoft Visual Studio 2005 integrated development environment.The system provides file Integrity Detection function by calculating the message digest value of CRC32、MD5 and SHA1,so as to provide the evidence of invasion discovery for the system administrator.The experimental evaluations show that the system generates the correct message digest value of CRC32、MD5 and SHA1 in the testing process of multiple files Integrity.