Статті в журналах: "Civil engineering Data processing"

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 24 defined types and specify the best choice, using the coefficient of determination. This approach has been used, for instance, for modelling and experimental validation of reliability of an additionally prestressed masonry construction.

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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 indicators, could be used as a medium for monitoring the performance of each Civil servant; (3) training analysis indicators, Civil servant could take part in training activities; (4) promotion indicators, making it easier for Civil servant during the promotion process; (5) pension indicator, providing a sufficient period of time in managing pension files; (6) periodic salary indicators, facilitating the finance department in processing periodic salary calculations; (7) Taspen indicator, making it easier for staffing department to process data on retired personnel; (8) Leave indicators, it was easier for staffing officers to print Civil servant attendance lists; (9) Study permit indicator, helping Civil servant if they wanted to continue their education again.

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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 complexity in simulated/real scenes. Then, it reviews the main signal processing techniques used to interpret the GPR data. Subsequently, the latest GPR surveys are considered and divided according to four application domains, namely bridges, road pavements, underground utilities, and urban subsurface risks. Finally, the survey discusses the open challenges and directions for future research.

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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 for civil engineering is designed. This system can not only effectively predict and evaluate the design results of civil engineering but also help guide enterprises to obtain various earthquake-resistant and beautiful building structure designs, and various this kind of economical and reasonable engineering project construction decision-making. This paper uses simulation models to study the civil engineering of high-rise buildings, and conducts an in-depth study on the efficiency of simulation processing results and the analysis of visualization methods, which mainly include the efficient visualization of simulation time-varying vector fields and the efficient visualization after OpenSEES simulation processing.

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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 traditional design system, BIM technology can gather data processing, data caching and data sharing and other mechanisms, and is valued by major design companies. This paper introduces BIM and describes the current situation and frontier of structural engineering discipline, and takes the application of BIM technology in civil engineering structural design as the basic research point to explore its application in civil engineering structural design and its possible problems and measures to solve them.

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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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11

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 both special field technique and data processing technique.

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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. This procedure includes preprocessing of the raw data, statistical outlier removal, a Least Median of Squares based ground estimation method to accurately remove the ground points, vehicle data clouds clustering, a principle component-based oriented bounding box method to estimate the location of the vehicle, and a geometrically-based tracking algorithm. The developed procedure has been applied to a two-way-stop-sign intersection and an arterial road in Reno, Nevada. The data extraction procedure has been validated by comparing tracking results and speeds logged from a testing vehicle through the on-board diagnostics interface. This data processing procedure could be applied to extract high-resolution trajectories of connected and unconnected vehicles for connected-vehicle applications, and the data will be valuable to practices in traffic safety, traffic mobility, and fuel efficiency estimation.

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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 data, which are the information of measuring points of strain and temperature from the Baishazhou Bridge. The cross-correlation coefficients between various signals can provide the reference to the whole health status of the civil engineering structure, and then enhance the accuracy of structural health assessment.

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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. However, a number of important areas of knowledge that serve as the basis for mobile communications, the Internet, and wireless technologies, are only taught at specialized universities and schools. Nevertheless, students of civil engineering universities need to understand the theoretical provisions and processes of information technologies. Materials and methods. Systematization, the benchmark method, theoretical generalization of data extracted from literary sources were applied. Results. The founding notions, needed to discuss digital technologies, encompass temporary signal notation, spectral characteristics, spectral bandwidth, time and frequency division, multiplexing, discrete sampling and quantization of a signal. It is impossible to successfully study and effectively use these advanced technologies without having understood these fundamental technologies. The author offers a simplified explanation of these notions and principal processes in terms of their application in the construction industry. Conclusions. The author addresses complicated issues of the theory of signals and their transmission over communication lines. He presents the three key ideas that serve as the basis for multiple advanced information technologies, including time and spectrum signal notation, time and frequency division, multiplexing, discrete sampling and quantization of a signal. The author’s ideas can be used to teach mobile technologies, the Internet, the Internet of Things, cloud and edge computing, digital twin, etc.

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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), and many more. In the current paper, we portrayed the primary research and achievements of AI and image processing applications in the civil domain. The paper is divided in two parts. The first part provides analysis of existing methods along with examples relevant to the civil domain where it is incorporated. The second part elaborates scientometric study constituting 605 documents (Science Direct database) published in the last two decades. The bibliometrics are further used for producing analytical frameworks based on publications, citations, top journals, top institutions, and funding sources. This study serves as a guide for readers to identify research gaps and use the review for potential future study.

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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 SHRP 2 Naturalistic Driving Study (NDS) and the SHRP 2 Roadway Information Database (RID). The framework included data processing of NDS and RID data and a new synthetic optimization method to generate optimized representative driving cycles. The documented data processing framework was applied to develop the driving cycles of light-duty vehicles for 395 road scenarios with consideration of 10 road properties that could have influenced traffic speed patterns. The 4,400 NDS trips, each of which was at least 20 min long, were used for the development of driving cycles. This data processing frame can be applied for development of driving cycles for more road scenarios with data similar to those in the SHRP 2 database.

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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 Data Continuity Mission (LDCM – Landsat 8) is the latest satellite in Landsat series, launched in February 2013. Landsat 8 medium spatial resolution multispectral imagery presents particular interest in extracting land cover, because of the fine spectral resolution, the radiometric quantization of 12bits, the capability of merging the high resolution panchromatic band of 15 meters with multispectral imagery of 30 meters as well as the policy of free data. In this paper, Landsat 8 multispectral and panchromatic imageries are being used, concerning surroundings of a lake in north-western Greece. Land cover information is extracted, using suitable digital image processing software. The rich spectral context of the multispectral image is combined with the high spatial resolution of the panchromatic image, applying image fusion – pansharpening, facilitating in this way visual image interpretation to delineate land cover. Further processing concerns supervised image classification. The classification of pansharpened image preceded multispectral image classification. Corresponding comparative considerations are also presented.

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20

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 Data Continuity Mission (LDCM – Landsat 8) is the latest satellite in Landsat series, launched in February 2013. Landsat 8 medium spatial resolution multispectral imagery presents particular interest in extracting land cover, because of the fine spectral resolution, the radiometric quantization of 12bits, the capability of merging the high resolution panchromatic band of 15 meters with multispectral imagery of 30 meters as well as the policy of free data. In this paper, Landsat 8 multispectral and panchromatic imageries are being used, concerning surroundings of a lake in north-western Greece. Land cover information is extracted, using suitable digital image processing software. The rich spectral context of the multispectral image is combined with the high spatial resolution of the panchromatic image, applying image fusion – pansharpening, facilitating in this way visual image interpretation to delineate land cover. Further processing concerns supervised image classification. The classification of pansharpened image preceded multispectral image classification. Corresponding comparative considerations are also presented.

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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 including Eco-routes, Quite-routes, in which the air pollution of the urban environment by vehicle emissions and the noise level from traffic flows are estimated in real time mode. The calculation is based on meteorological data and traffic flow velocity. The calculation and assessment of environment pollution is carried out at the request of the user via Internet. The concept includes micro weather and algal blooming monitoring of reservoirs and ponds. Developed services is the first to provide free short time health risk assessment for both decision makers and common internet users.

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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 (GTU) Civil Engineering Department, we guide our undergraduate students to graduate as competent engineers who use practice tools. For this purpose, we designed an Arduino-based accelerometer device and its software toolkit, which records and visualizes structural vibration data in the process of learning the best practices of seismic safety. The device contains Arduino UNO board ADXL345 MEMS (microelectromechanical systems) Accelerometer and microSD card module. Both Arduino and Python open-source programming languages were implemented in the device. We have produced a total number of 15 accelerometers (named the ACCE_edu-Arduino based accelerometer for Civil Engineering education) integrating these cards and sensors that are widely used for vibration measurement and interpretation to record vibration data. Within the scope of “Python programming” lectures in the GTU undergraduate program, these toolkits will be used to obtain data that would be recorded, stored, visualized, and filtered using Python programming language, which provides a practical application in data processing.

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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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30

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,. However, the excitation of large structures can be costly and difficult. The acquisition of static deflection requires much less effort, which makes the damage detection methods based on changes in deflection curves more attractive for practical use [5-1. Damage detection and localization methods require a densely sampled deflection curve.

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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 problems and the adopted solutions in data surveying and processing are underlined, also discussing the added value of very high-resolution 3D modelling in multi-disciplinary activities.

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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 direction and reference for future research, including high-precision real-time acquisition and safe and reliable transmission of monitoring data, multisource data fusion, and the visual intelligent early warning platform.

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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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36

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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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 real-time or near real-time CV applications. There are three major components of the data infrastructure: data receiving, data pre-processing, and visualization including the performance measurements generation. The data processing algorithms include signal phasing and timing (SPaT) data compression, lane phase mapping identification, trajectory data map matching, and global positioning system (GPS) coordinates conversion. Simple performance measures are derived from the processed data, including the time–space diagram, vehicle delay, and observed queue length. Finally, a web-based interface is designed to visualize the data. A list of potential CV applications including traffic state estimation, traffic control, and safety, which can be built on this connected data infrastructure is discussed.

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38

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 Time Migration (RTM) method, to improve the imaging of complicated geometries. By using the information from wide angle reflections as well as from multiple events there are fewer limitations compared to SAFT. As a drawback the required computing power is significantly higher compared to the techniques currently used. Synthetic experiments have been performed on polyamide and concrete specimens to show the improvements compared to SAFT. We have been able to image vertical interfaces of step-like structures as well as the lower boundaries of circular objects. It has been shown that RTM is a step forward for ultrasonic testing in civil engineering.

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39

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. First, AADTs for the ramps and the anchor points are estimated from the count data. Then AADT for each uncounted mainline link is calculated by addition or subtraction of ramp AADT to or from mainline AADT, starting from one anchor point. Finally, adjustments of the AADT are performed to achieve a match at the second anchor point if necessary. The process can be time-consuming and labor-intensive if it is done manually. A computer program to automate the process is required. The traffic count analysis system (TCAS) developed to automate the reconciling of count data in the ramp counting process is described. The TCAS was developed on the basis of data coaptation and data reconciliation techniques frequently used in the processing of network flow rate data. Data coaptation is used to calculate flow rates for uncounted links, and data reconciliation is used to adjust and balance the flow rates. The TCAS has been tested for the two longest freeways in Connecticut. The results are close to those from the ramp counting procedure. However, the TCAS significantly reduces the time and labor required for processing traffic volume data for freeways.

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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 this, this paper focuses on the technology of the integration of a multi-radar surveillance system and automated related surveillance system in the ATM system and analyzes the constructional method of a multigeneration surveillance data integration system, as well as establishing the targeted model of sensors and the target track and designing the logical structure of multi-radar and ADS data integration.

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42

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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44

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 of view. This study attempts to fill this gap. Covered topics are analysis of the current trends of measurement technologies; in-depth analysis of laser scanning results as a source of new unique data; laser scanning for industrial applications; laser scanning and BIM integration. Except for the mentioned topics, the new concept of the complete control of geometric parameters during the construction and operation of engineering structures is introduced. Complete control plays an indispensable role in the decision-support process during the building life cycle and therefore is an inherent part of any BIM. A description of the steps of complete control and its different applications for civil engineering is given. The decision-support process is addressed for different structures, e.g., roads, civil and industrial structures, oil and gas industry objects, etc. Moreover, complete control is considered for the various stages of a building life cycle, from design to demolition. The results provide convincing evidence that the complete control by TLS data has a prominent role in the decision-support process for civil engineering.

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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 filters both static and moving background efficiently. Various thresholds of point density are applied in this algorithm to exclude background at different distances from the roadside sensor. The case study shows that the algorithm can filter background LiDAR points in different situations (different road geometries, different traffic demands, day/night time, different speed limits). Vehicle and pedestrian shape can be retained well after background filtering. The low computational load guarantees this method can be applied for real-time data processing such as vehicle monitoring and pedestrian tracking.

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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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48

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 from the California I-880 corridor in the San Francisco Bay Area from the Mobile Century experiment. Results revealed that the proposed fusion algorithm can work with data sources that are different in their spatiotemporal granularity and improve the accuracy of state estimation through incorporating multiple data sources. The present work contributed to the field of traffic engineering and management with the application of big data analytics.

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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 collection in research This is done by means of library research. Data collection tools used are document studies to obtain secondary data, by reading, studying, researching, analyzing secondary data, secondary and tertiary related to this research.

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