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1

Pu, Wenjing. "Standardized Data Processing." Transportation Research Record: Journal of the Transportation Research Board 2338, no. 1 (January 2013): 44–57. http://dx.doi.org/10.3141/2338-06.

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2

Iraqi, A., R. Z. Morawski, A. Barwicz, and W. J. Bock. "Distributed data processing in a telemetric system for monitoring civil engineering constructions." IEEE Transactions on Instrumentation and Measurement 48, no. 3 (June 1999): 773–77. http://dx.doi.org/10.1109/19.772220.

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3

Čajka, Radim, and Martin Krejsa. "Measured Data Processing in Civil Structure Using the DOProC Method." Advanced Materials Research 859 (December 2013): 114–21. http://dx.doi.org/10.4028/www.scientific.net/amr.859.114.

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This paper describes the use of measured values in the probabilistic tasks by means of the new method which is under development now - Direct Optimized Probabilistic Calculation (DOProC). This method has been used to solve a number of probabilistic tasks. DOProC has been applied in ProbCalc a part of this software is a module for entering and assessing the measured data. The software can read values saved in a text file and can create histograms with non-parametric (empirical) distribution of the probabilities. In case of the parametric distribution, it is possible to make selection from among
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4

Novita, Triske, and Durinta Puspasari. "Analysis of the E-Master Application as an Effort of Employment Data Processing." Economic Education Analysis Journal 10, no. 3 (October 30, 2021): 508–21. http://dx.doi.org/10.15294/eeaj.v10i3.48046.

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This study aimed to analyze the E-Master application as an effort to process personnel data. This research type was descriptive qualitative. The research subjects were 5 people consisting of 2 OTKP teachers and 3 administrative employees at SMKN 10 Surabaya, while 2 administrative employees and 1 Head of Study Program as source triangulation. Data collection techniques were questionnaires and interviews, while data analysis techniques used data condensation, data presentation, drawing conclusions. The results of the study showed: (1) mapping indicators were able to map Civil servant; (2) SKP i
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5

Hein, Günter W., Alfred Leick, and Steven Lambert. "Integrated Processing of GPS and Gravity Data." Journal of Surveying Engineering 115, no. 1 (February 1989): 15–33. http://dx.doi.org/10.1061/(asce)0733-9453(1989)115:1(15).

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6

Hou, Feifei, Xiyue Rui, Xinyu Fan, and Hang Zhang. "Review of GPR Activities in Civil Infrastructures: Data Analysis and Applications." Remote Sensing 14, no. 23 (November 25, 2022): 5972. http://dx.doi.org/10.3390/rs14235972.

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Ground penetration radar (GPR) technology has received in-depth analysis and rapid development in the field of civil engineering. GPR data analysis is one of the basic and challenging problems in this field. This research aims to conduct a comprehensive survey of the progress from 2015 to the present in GPR scanning tasks. More than 130 major publications are cited in this research covering different aspects of the research, including advanced data processing methods and a wide variety of applications. First, it briefly introduces the data collection of the GPR system and discusses the signal
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7

You, Yinchen, Yi Zheng, and Xiaohui Chen. "Civil Engineering Simulation and Safety Detection of High-Rise Buildings Based on BIM." Mobile Information Systems 2022 (July 31, 2022): 1–7. http://dx.doi.org/10.1155/2022/7600848.

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In the process of vigorously promoting the development of China’s smart city construction site engineering, the wide application of BIM technology and its advantages have been widely reflected in various places such as remote video site monitoring, visual chemical field technical data disclosure, and statistical engineering volume. BIM technology can effectively help enterprises manage the whole construction site, and can significantly and effectively improve the safety management level and work efficiency of the whole construction site. In this paper, a numerical simulation processing system
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8

Knoop, Victor L., Serge P. Hoogendoorn, and Henk J. van Zuylen. "Processing Traffic Data Collected by Remote Sensing." Transportation Research Record: Journal of the Transportation Research Board 2129, no. 1 (January 2009): 55–61. http://dx.doi.org/10.3141/2129-07.

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9

Jiang, Zonglin. "Research on the development of BIM technology based on the application in the field of civil engineering." E3S Web of Conferences 261 (2021): 03025. http://dx.doi.org/10.1051/e3sconf/202126103025.

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The compliance of civil engineering structural design is the fundamental condition that determines the subsequent safety and life of civil engineering buildings. At the present stage of civil engineering structural design, most of them are based on two-dimensional planar structural design, which is less expressive and covers a single amount of information, and it is difficult to play its proper value in the actual design and construction process due to certain limitations. In such a background, BIM technology was born and has been promoted and applied to some extent. Compared with the traditio
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10

Howell, Tommie F. "Automation for Transportation—More Than Data Processing." Journal of Transportation Engineering 116, no. 6 (November 1990): 831–35. http://dx.doi.org/10.1061/(asce)0733-947x(1990)116:6(831).

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Tarko, Andrzej P., and Nagui M. Rouphail. "Intelligent Traffic Data Processing for ITS Applications." Journal of Transportation Engineering 123, no. 4 (July 1997): 298–307. http://dx.doi.org/10.1061/(asce)0733-947x(1997)123:4(298).

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12

Luo, Kun. "The Application of MASW Method on the Studying of the Vibrations in Civil Engineering." Advanced Materials Research 989-994 (July 2014): 958–60. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.958.

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Surface-wave dispersion analysis is widely used in civil engineering to infer a shear wave velocity model of the subsoil for a wide variety of applications. Combining with a example, multi-channel analysis of surface waves method (MASW) was discussed in this paper. The entire MASW's procedure of three steps: acquiring ground roll data in the field, processing the data to determine dispersion curve, and back calculation of the geologic parameters for different depths. Based upon all the research results by far, MASW method is an efficient methods because of its high accuracy that is achieved by
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13

Sun, Yuan, Hao Xu, Jianqing Wu, Jianying Zheng, and Kurt M. Dietrich. "3-D Data Processing to Extract Vehicle Trajectories from Roadside LiDAR Data." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 45 (June 8, 2018): 14–22. http://dx.doi.org/10.1177/0361198118775839.

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High-resolution vehicle data including location, speed, and direction is significant for new transportation systems, such as connected-vehicle applications, micro-level traffic performance evaluation, and adaptive traffic control. This research developed a data processing procedure for detection and tracking of multi-lane multi-vehicle trajectories with a roadside light detection and ranging (LiDAR) sensor. Different from existing methods for vehicle onboard sensing systems, this procedure was developed specifically to extract high-resolution vehicle trajectories from roadside LiDAR sensors. T
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14

Li, Qiang, Chun Xiao, Wei Li, Li Qiao Li, and Hui Liu. "Research on Data Correlation in Structural Health Monitoring System." Advanced Materials Research 671-674 (March 2013): 2044–48. http://dx.doi.org/10.4028/www.scientific.net/amr.671-674.2044.

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In structural health monitoring system, data analysis is one of the most important parts. It is mainly for processing and analysis of the collected data, among of which, the correlation analysis of the collected data can be used to verify the feasibility of the system. This paper applies the method of wavelet de-noising analysis to reduce signal noise and utilizes MATLAB and LabVIEW to calculate the cross-correlation coefficient in simulation statistics independently. To verify the feasibility of correlation analysis method and the data processing, simulation study is finished based on sampled
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15

Konikov, Alexander I. "Teaching advanced methods of signal processing and transmission at universities of civil engineering." Stroitel'stvo: nauka i obrazovanie [Construction: Science and Education] 11, no. 1 (March 30, 2021): 63–72. http://dx.doi.org/10.22227/2305-5502.2021.1.5.

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Introduction. Development and widespread dissemination of information technologies, including the Internet, mobile communications, cloud computing, Big Data, the Internet of Things, digital twin, etc. are being proactively introduced into versatile production and business processes of the construction industry. Therefore, a graduate of a civil engineering university must master the fundamentals of the above-listed technologies and know how to use them in his/her practical activities. It’s particularly important for those specialities that deal with information technologies in civil engineering
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16

Salunkhe, Ashwini A., R. Gobinath, S. Vinay, and Leo Joseph. "Progress and Trends in Image Processing Applications in Civil Engineering: Opportunities and Challenges." Advances in Civil Engineering 2022 (May 5, 2022): 1–17. http://dx.doi.org/10.1155/2022/6400254.

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Technological advancements in electronic storage have been trending for cloud computing. The revolution of this computer technology with machine learning and artificial intelligence has created prodigious platforms to the various disciplines of science and technology. Civil engineering is the oldest discipline, and due to the never-ending demand of this domain, it is rapidly adapting to newer computer techniques like image processing, deep learning, big data analysis, neural networks, building information modeling (BIM), unmanned aerial vehicle (UAV) system, digital image correlation (DIC), an
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17

Liao, Chen-Fu, and Henry X. Liu. "Development of Data-Processing Framework for Transit Performance Analysis." Transportation Research Record: Journal of the Transportation Research Board 2143, no. 1 (January 2010): 34–43. http://dx.doi.org/10.3141/2143-05.

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18

Sun, Yuan, Hao Xu, Jianqing Wu, Elie Y. Hajj, and Xinli Geng. "Data Processing Framework for Development of Driving Cycles with Data from SHRP 2 Naturalistic Driving Study." Transportation Research Record: Journal of the Transportation Research Board 2645, no. 1 (January 2017): 50–56. http://dx.doi.org/10.3141/2645-06.

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In the modeling of vehicle operation costs, a driving cycle is a representative speed–time profile to describe the speed–acceleration pattern of a specific road scenario. Driving cycles are important input for estimation of fuel consumption and polluting emissions. Existing driving cycles are either from out-of-date driving data or without detailed consideration of influencing road properties because of the limitations of available data sets. As part of a project sponsored by FHWA, this research developed a data processing framework for development of driving cycles with data from both the SHR
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19

Lazaridou, M. A., and A. Ch Karagianni. "LANDSAT 8 MULTISPECTRAL AND PANSHARPENED IMAGERY PROCESSING ON THE STUDY OF CIVIL ENGINEERING ISSUES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 941–45. http://dx.doi.org/10.5194/isprs-archives-xli-b8-941-2016.

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Scientific and professional interests of civil engineering mainly include structures, hydraulics, geotechnical engineering, environment, and transportation issues. Topics included in the context of the above may concern urban environment issues, urban planning, hydrological modelling, study of hazards and road construction. Land cover information contributes significantly on the study of the above subjects. Land cover information can be acquired effectively by visual image interpretation of satellite imagery or after applying enhancement routines and also by imagery classification. The Landsat
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Lazaridou, M. A., and A. Ch Karagianni. "LANDSAT 8 MULTISPECTRAL AND PANSHARPENED IMAGERY PROCESSING ON THE STUDY OF CIVIL ENGINEERING ISSUES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 941–45. http://dx.doi.org/10.5194/isprsarchives-xli-b8-941-2016.

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Scientific and professional interests of civil engineering mainly include structures, hydraulics, geotechnical engineering, environment, and transportation issues. Topics included in the context of the above may concern urban environment issues, urban planning, hydrological modelling, study of hazards and road construction. Land cover information contributes significantly on the study of the above subjects. Land cover information can be acquired effectively by visual image interpretation of satellite imagery or after applying enhancement routines and also by imagery classification. The Landsat
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21

Ivanov, Alexander, and Alexander Platov. "Environmental monitoring based on data processing of Internet of Things." E3S Web of Conferences 136 (2019): 01041. http://dx.doi.org/10.1051/e3sconf/201913601041.

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The concept of online monitoring of the urban environment is proposed. It is based on the online processing of hydrometeorological and traffic information received through the Internet of Things. The traditional approach of the Internet of things includes transfer and storage of huge arrays of measurements in digital form. This concept of online monitoring is primarily an analysis, evaluation of the results of processing information received from wireless networks. The concept was implemented at Nizhny Novgorod State University of Architecture and Civil Engineering in several services includin
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22

Han, Yohee, Youngchan Kim, Jisun Ku, Yeonghun Jung, and Jeongrae Roh. "Map Matching Algorithm for Real-Time Data Processing of Non-route GPS Data in Seoul." KSCE Journal of Civil Engineering 25, no. 9 (May 17, 2021): 3511–22. http://dx.doi.org/10.1007/s12205-021-1750-x.

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23

Seiler, Pete, Michael Frenklach, Andrew Packard, and Ryan Feeley. "Numerical approaches for collaborative data processing." Optimization and Engineering 7, no. 4 (December 2006): 459–78. http://dx.doi.org/10.1007/s11081-006-0350-4.

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24

Guo, Hang, Min Yu, Jingnan Liu, and Jinsheng Ning. "Butterworth Low-Pass Filter for Processing Inertial Navigation System Raw Data." Journal of Surveying Engineering 130, no. 4 (November 2004): 175–78. http://dx.doi.org/10.1061/(asce)0733-9453(2004)130:4(175).

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25

You, Soyoung Iris, and Stephen G. Ritchie. "A GPS Data Processing Framework for Analysis of Drayage Truck Tours." KSCE Journal of Civil Engineering 22, no. 4 (April 2018): 1454–65. http://dx.doi.org/10.1007/s12205-017-0160-6.

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26

Adams, Teresa M. "Knowledge Representation and Processing in Relational Data Base." Journal of Computing in Civil Engineering 7, no. 2 (April 1993): 238–55. http://dx.doi.org/10.1061/(asce)0887-3801(1993)7:2(238).

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27

Shirasaki, Y., M. Tanaka, S. Kawanomoto, S. Honda, M. Ohishi, Y. Mizumoto, N. Yasuda, et al. "Data processing for ‘SUBARU’ telescope using GRID." Fusion Engineering and Design 83, no. 2-3 (April 2008): 438–41. http://dx.doi.org/10.1016/j.fusengdes.2007.09.004.

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28

Komec Mutlu, Ahu, Ulgen Mert Tugsal, and Ahmet Anil Dindar. "Utilizing an Arduino-Based Accelerometer in Civil Engineering Applications in Undergraduate Education." Seismological Research Letters 93, no. 2A (November 17, 2021): 1037–45. http://dx.doi.org/10.1785/0220210137.

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Abstract One of the most important issues in civil engineering undergraduate education is response analysis of structures for earthquake-resistant design. Precautions that should be taken against seismic hazards not only include the design of earthquake-safe buildings but also monitoring the strength and dynamic characteristics of structures. Because this is an important topic in theoretical aspects of civil engineering education at the undergraduate level, it is essential to have opportunities to perform practices so students can better understand lectures. In the Gebze Technical University (
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29

Walsh, Sara B., Daniel J. Borello, Burcu Guldur, and Jerome F. Hajjar. "Data Processing of Point Clouds for Object Detection for Structural Engineering Applications." Computer-Aided Civil and Infrastructure Engineering 28, no. 7 (May 30, 2013): 495–508. http://dx.doi.org/10.1111/mice.12016.

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Kohut, Piotr, Krzysztof Holak, Tadeusz Uhl, Jędrzej Mączak, and Przemysław Szulim. "Application of Vision Based Damage Detection for Real Civil Engineering Structure." Key Engineering Materials 588 (October 2013): 22–32. http://dx.doi.org/10.4028/www.scientific.net/kem.588.22.

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Structural Health Monitoring (SHM) is an emerging field of technology that involves the integration of sensors, data transmission, processing and analysis for detection, as well as localization and assessment of damage which can lead to its failure in the future [1,. In general, SHM methods can be divided into two groups: local and global ones. The second group can be applied if a global change in the geometry of a structure can be observed. In practice, the most commonly used methods of damage detection are based on the analysis of variations in various dynamic properties caused by damage [3,
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31

Girelli, V. A., M. A. Tini, and G. Bitelli. "VERY HIGH-RESOLUTION 3D SURVEYING AND MODELLING EXPERIENCES IN CIVIL ENGINEERING APPLICATIONS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2022 (May 30, 2022): 673–78. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2022-673-2022.

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Abstract. In this paper some experiences in 3D modelling of objects with very high-resolution are described, carried out by the DICAM Geomatics group of the University of Bologna in multi-disciplinary contexts within the field of the Civil Engineering. In all the addressed case studies the main aim is the generation of a 3D model of the surface at a sub-millimetric scale, allowing a very accurate characterization of the surface geometry, useful for different purposes. 3D scanning and Structure from Motion photogrammetry have been used to generate the 3D models. In the paper the encountered pro
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32

Mallikarjuna, C., A. Phanindra, and K. Ramachandra Rao. "Traffic Data Collection under Mixed Traffic Conditions Using Video Image Processing." Journal of Transportation Engineering 135, no. 4 (April 2009): 174–82. http://dx.doi.org/10.1061/(asce)0733-947x(2009)135:4(174).

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33

Bassani, Marco, and Lorenzo Mussone. "Experimental analysis of operational data for roundabouts through advanced image processing." Journal of Traffic and Transportation Engineering (English Edition) 7, no. 4 (August 2020): 482–97. http://dx.doi.org/10.1016/j.jtte.2019.01.005.

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34

Wang, Lixin, Shuoshuo Xu, Junling Qiu, Ke Wang, Enlin Ma, Chujun Li, and Chunxia Guo. "Automatic Monitoring System in Underground Engineering Construction: Review and Prospect." Advances in Civil Engineering 2020 (June 19, 2020): 1–16. http://dx.doi.org/10.1155/2020/3697253.

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Automatic monitoring system is one of the main means to ensure the safety of underground engineering construction. This paper summarizes the current international research and application status of the underground engineering monitoring system from three aspects of data acquisition, data transmission, and data processing and emphatically introduces the mainstream new technology of the monitoring system. Furthermore, this paper puts forward specific and implementable technical routes based on the current intelligent technology and the challenges faced by future monitoring, which can provide dir
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35

Matsuda, T., T. Tsugita, T. Oshima, S. Sakata, M. Sato, and K. Iwasaki. "Recent changes of JT-60 data processing system." Fusion Engineering and Design 60, no. 3 (June 2002): 235–39. http://dx.doi.org/10.1016/s0920-3796(02)00014-5.

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Buravand, Y., H. Parrat, Ja Signoret, and N. Utzel. "The Tore Supra post-pulse data processing system." Fusion Engineering and Design 81, no. 15-17 (July 2006): 2009–12. http://dx.doi.org/10.1016/j.fusengdes.2006.04.021.

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37

Wang, Xingmin, Shengyin Shen, Debra Bezzina, James R. Sayer, Henry X. Liu, and Yiheng Feng. "Data Infrastructure for Connected Vehicle Applications." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 5 (April 9, 2020): 85–96. http://dx.doi.org/10.1177/0361198120912424.

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Ann Arbor Connected Vehicle Test Environment (AACVTE) is the world’s largest operational, real-world deployment of connected vehicles (CVs) and connected infrastructure, with over 2,500 vehicles and 74 infrastructure sites, including intersections, midblocks, and highway ramps. The AACVTE generates a massive amount of data on a scale not seen in the traditional transportation systems, which provides a unique opportunity for developing a wide range of connected vehicle (CV) applications. This paper introduces a data infrastructure that processes the CV data and provides interfaces to support re
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Müller, Sabine, Ernst Niederleithinger, and Thomas Bohlen. "Reverse Time Migration: A Seismic Imaging Technique Applied to Synthetic Ultrasonic Data." International Journal of Geophysics 2012 (2012): 1–7. http://dx.doi.org/10.1155/2012/128465.

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Ultrasonic echo testing is a more and more frequently used technique in civil engineering to investigate concrete building elements, to measure thickness as well as to locate and characterise built-in components or inhomogeneities. Currently the Synthetic Aperture Focusing Technique (SAFT), which is closely related to Kirchhoff migration, is used in most cases for imaging. However, this method is known to have difficulties to image steeply dipping interfaces as well as lower boundaries of tubes, voids or similar objects. We have transferred a processing technique from geophysics, the Reverse T
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Rota, M., A. Penna, and C. L. Strobbia. "Processing Italian damage data to derive typological fragility curves." Soil Dynamics and Earthquake Engineering 28, no. 10-11 (October 2008): 933–47. http://dx.doi.org/10.1016/j.soildyn.2007.10.010.

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40

Zhao, Ming, Norman W. Garrick, and Luke E. K. Achenie. "Data Reconciliation–Based Traffic Count Analysis System." Transportation Research Record: Journal of the Transportation Research Board 1625, no. 1 (January 1998): 12–17. http://dx.doi.org/10.3141/1625-02.

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Traffic volume data, especially average annual daily traffic (AADT), are important in transportation engineering. They are required in managing and maintaining existing facilities and in planning and designing new facilities. Many state highway agencies use the ramp counting procedure described in FHWA’s Traffic Monitoring Guide to estimate AADTs for freeways. The procedure involves counting all entrance and exit ramps between two established mainline counters (anchor points) and then reconciling the count data to estimate mainline AADT. The reconciling of count data includes three steps. Firs
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41

Mao, Yi, Yi Yang, and Yuxin Hu. "Research into a Multi-Variate Surveillance Data Fusion Processing Algorithm." Sensors 19, no. 22 (November 15, 2019): 4975. http://dx.doi.org/10.3390/s19224975.

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Targeted information sources include radar and ADS (Automatic Dependent Surveillance) for civil ATM (Air Traffic Management) systems, and the new navigation system based on satellites has the capability of global coverage. In order to solve the surveillance problem in mid-and-high altitude airspace and approaching airspace, this paper proposes a filter-based covariance matrix weighting method, measurement variance weighting method, and measurement-first weighted fusion method weighting integration algorithm to improve the efficiency of data integration calculation under fixed accuracy. Besides
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Zhao, Pengxiang, He Haitao, Aoyong Li, and Ali Mansourian. "Impact of data processing on deriving micro-mobility patterns from vehicle availability data." Transportation Research Part D: Transport and Environment 97 (August 2021): 102913. http://dx.doi.org/10.1016/j.trd.2021.102913.

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43

Satirapod, Chalermchon, Jinling Wang, and Chris Rizos. "Comparing Different Global Positioning System Data Processing Techniques for Modeling Residual Systematic Errors." Journal of Surveying Engineering 129, no. 4 (November 2003): 129–35. http://dx.doi.org/10.1061/(asce)0733-9453(2003)129:4(129).

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Seredovich, V., K. Vach, and R. Shults. "THE CAPABILITIES OF 3D GEOSPATIAL TECHNOLOGIES IN THE DECISION-SUPPORT PROCESS FOR DESIGN, CONSTRUCTION, AND EMPLOYMENT OF ENGINEERING STRUCTURES." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-5/W1-2022 (February 3, 2022): 217–23. http://dx.doi.org/10.5194/isprs-archives-xlvi-5-w1-2022-217-2022.

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Abstract. The presented paper is concerned with the capabilities of 3D geospatial technologies in the decision-support process for the design, construction, and employment of engineering structures. Among the various geospatial technologies, the primary stress is made on terrestrial laser scanning (TLS). Despite the widespread application of TLS, its opportunities are not studied thoroughly. A vast volume of studies is dedicated to accuracy, processing workflow, and modeling by TLS data. However, only scanty research considers the TLS technology and data from an ordinary civil engineer's point
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45

Logcher, Robert D., Ming‐Teh Wang, and Frank Hsi‐Sheng Chen. "Knowledge Processing for Construction Management Data Base." Journal of Construction Engineering and Management 115, no. 2 (June 1989): 196–211. http://dx.doi.org/10.1061/(asce)0733-9364(1989)115:2(196).

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Wu, Jianqing, Hao Xu, Yuan Sun, Jianying Zheng, and Rui Yue. "Automatic Background Filtering Method for Roadside LiDAR Data." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 45 (June 17, 2018): 106–14. http://dx.doi.org/10.1177/0361198118775841.

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The high-resolution micro traffic data (HRMTD) of all roadway users is important for serving the connected-vehicle system in mixed traffic situations. The roadside LiDAR sensor gives a solution to providing HRMTD from real-time 3D point clouds of its scanned objects. Background filtering is the preprocessing step to obtain the HRMTD of different roadway users from roadside LiDAR data. It can significantly reduce the data processing time and improve the vehicle/pedestrian identification accuracy. An algorithm is proposed in this paper, based on the spatial distribution of laser points, which fi
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Pashoutani, Sepehr, and Jinying Zhu. "Ground Penetrating Radar Data Processing for Concrete Bridge Deck Evaluation." Journal of Bridge Engineering 25, no. 7 (July 2020): 04020030. http://dx.doi.org/10.1061/(asce)be.1943-5592.0001566.

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Ottaviano, Flavia, Fabing Cui, and Andy H. F. Chow. "Modeling and Data Fusion of Dynamic Highway Traffic." Transportation Research Record: Journal of the Transportation Research Board 2644, no. 1 (January 2017): 92–99. http://dx.doi.org/10.3141/2644-11.

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This paper presents a data fusion framework for processing and integrating data collected from heterogeneous sources on motorways to generate short-term predictions. Considering the heterogeneity in spatiotemporal granularity in data from different sources, an adaptive kernel-based smoothing method was first used to project all data onto a common space–time grid. The data were then integrated through a Kalman filter framework build based on the cell transmission model for generating short-term traffic state prediction. The algorithms were applied and tested with real traffic data collected fro
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Bassier, Maarten, Mathias Bonduel, Jens Derdaele, and Maarten Vergauwen. "Processing existing building geometry for reuse as Linked Data." Automation in Construction 115 (July 2020): 103180. http://dx.doi.org/10.1016/j.autcon.2020.103180.

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Afdol and Baby Nita Selly Veronika. "Legal Protection Against Notaries In The Process of Authentic Deed Processing." YURISDIKSI : Jurnal Wacana Hukum dan Sains 17, no. 3 (December 20, 2021): 296–304. http://dx.doi.org/10.55173/yurisdiksi.v17i3.91.

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The position of a notary is very necessary in the business world, because it is in accordance with its duties which is to record civil actions and set out in an authentic deed. source of data used in this study is secondary data consisting of primary legal materials in the form of basic norms/rules and related laws and regulations. with the law of protection of notaries in particular The type of research in this legal research is normative legal research, which is a process to find legal rules, legal principles, and legal doctrines in order to answer legal issues faced Engineering and data col
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