Relevant bibliographies by topics / Automatic data collecting systems / Dissertations / Theses
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Dissertations / Theses on the topic 'Automatic data collecting systems'

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Published: 4 June 2021
Last updated: 12 February 2022

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1

Jan, Jonathan. "Collecting Data for Building Automation Analytics : A case study for collecting operational data with minimal human intervention." Thesis, KTH, Radio Systems Laboratory (RS Lab), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233319.

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Approximately 40% of the total energy consumption within the EU is due to buildings, and similar numbers can be found in the US. If the principal inefficiencies in buildings were easily identifiable, then a facility manager could focus their resources to make the buildings more efficient, which would lead to both cost savings for the facility owners and decrease the building’s ecological footprint. In building automation systems today, data is already being collected every second, but due to the lack of standardization for describing this data, having access to data is not the same as being able to make use of it. The existing heterogeneity makes it very costly to gather data from multiple buildings, thus making it difficult to understand the big picture. Facility managers cannot fix what they cannot see; thus it is important to facilitate the visualization of the data collected from all of the different building automation systems. This potentially offers great benefits with regards to both sustainability and economy. In this thesis, the author’s goal is to propose a sustainable, cost and time effective data integration strategy for real estate owners who wish to gain greater insight into their buildings’ efficiency. The study begins with a literature study to find previous and on-going attempts to solve this problem. Some initiatives for standardization of semantic models were found. Two of these models, Brick and Haystack, were chosen. One building automation system (BAS) was tested in a pilot case study, to test the appropriateness of a solution. The key results from this thesis project show that data from building automation systems, can be integrated into an analysis platform, and an extract, transform, and load (ETL) process for this is presented. How time efficiently data can be tagged and transformed into a common format is very dependent upon the current control system’s data storage format and whether information about its structure is adequate. It is also noted that there is no guarantee that facility managers have access to the control system’s database or information about how that is structured, in such cases other techniques can be used such as BACnet/IP, or Open Platform Communications (OPC) Unified Architecture.
Ungefär 40 % av den totala energikonsumtionen i E.U. och U.S.A. förbrukas av fastigheter. Om de delar av fastigheten som är ineffektiva enkelt kunde identifieras, skulle det underlätta fastighetsförvaltarnas arbete i att göra byggnader mer energisnåla. Detta har i sin tur potential att minska kostnader och byggnaders ekologiska fotavtryck. I dagens fastighetsautomationssystem samlas data in varje sekund, men på grund av att det saknas ett standardiserat sätt att beskriva den på, är det skillnad på att ha tillgång till data och att faktiskt kunna använda sig av den. Heterogeniteten gör att det blir både kostsamt och tidskrävande för fastighetsförvaltare att samla in data från sina fastigheter. Fastighetsförvaltare kan inte åtgärda något det inte kan se. Därför är det viktigt att underlätta möjligheten för visualisering av data från olika typer av fastighetsautomationssystem. Att lyckas med detta har potential att ge positiva effekter både när det gäller hållbarhet och ekonomi. I den här uppsatsen är författarens mål att komma fram till en hållbar, kostnads- och tidseffektiv integrationsstrategi för fastighetsförvaltare som vill få bättre insikter hur effektiv deras byggnad faktiskt är. Forskningsarbetet inleds med en litteraturstudie för att finna tidigare och pågående försök att lösa detta problem. Några initiativ för standardisering av semantiska modeller för att beskriva data inom fastighetsautomation hittades. Två av dessa, Brick och Project Haystack, valdes ut. En byggnad, och ett fastighetsautomationssystem testades i en pilotstudie. Resultaten från studien pekar på att data från fastighetautomationssystem kan integreras med en analysplattform, och en så kallad ETL-process, efter de engelska orden: extract, transform, load; presenteras för att uppnå det målet. Hur tidseffektivt data kan taggas och transformeras beror på det nuvarande kontrollsystemets datalagringsformat och om information om dess struktur är adekvat. Det noteras att det inte finns någon garanti till att få åtkomst till kontrollsystemets databas, eller information om dess struktur, därför presenteras även alternativa tekniker, däribland BACnet/IP och Open Platform Communications (OPC) Unified Architecture.
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2

Librescu, Joseph. "Bar code data collection system implementation and laboratory exercise." Master's thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-10242009-020101/.

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3

Gurung, Sanjaya Acevedo Miguel Felipe. "Integrating environmental data acquisition and low cost Wi-Fi data communication." [Denton, Tex.] : University of North Texas, 2009. http://digital.library.unt.edu/ark:/67531/metadc12131.

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4

Ward, Michael P. "An architectural framework for describing Supervisory Control and Data Acquisition (SCADA) systems." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Sep%5FWard.pdf.

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Thesis (M.S. in Computer Science)--Naval Postgraduate School, Sept. 2004.
Thesis Advisor(s): Cynthia E. Irvine, Deborah S. Shifflett. Includes bibliographical references (p. 73-75). Also available online.
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Feldman, Adam Michael. "Using observations to recognize the behavior of interacting multi-agent systems." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/24771.

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Thesis (Ph.D.)--Computing, Georgia Institute of Technology, 2008.
Committee Chair: Balch, Tucker; Committee Member: Essa, Irfan; Committee Member: Isbell, Charles; Committee Member: Starner, Thad; Committee Member: Wallen, Kim.
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6

Natale, Robert J. Jr. "Further development of Delaware's first permanently instrumented bridge." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 126 p, 2008. http://proquest.umi.com/pqdweb?did=1619620021&sid=6&Fmt=2&clientId=8331&RQT=309&VName=PQD.

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7

Miller, Matthew Scott. "Development of a non-contact data acquisition system for robotic welding process monitoring." Thesis, Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/16071.

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8

Yee, Tze-Sung. "A hardware based optical digital code scanning system." Ohio : Ohio University, 1988. http://www.ohiolink.edu/etd/view.cgi?ohiou1182536210.

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9

Zhou, Huafeng, and 周華鋒. "Design of grid service-based power system control centers for future electricity systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2008. http://hub.hku.hk/bib/B40687429.

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Zhou, Huafeng. "Design of grid service-based power system control centers for future electricity systems." Click to view the E-thesis via HKUTO, 2008. http://sunzi.lib.hku.hk/hkuto/record/B40687429.

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11

Hughes, Paul. "Development of a data acquisition system for an ecommerce website." [Denver, Colo.] : Regis University, 2009. http://adr.coalliance.org/codr/fez/view/codr:116.

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12

Bleyle, Derek J. "A secure Web based data collection and distribution system for Global Positioning System research." Ohio : Ohio University, 2004. http://www.ohiolink.edu/etd/view.cgi?ohiou1097605631.

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13

O'Connor, Maureen J. Patillo Paul J. "Reengineering human performance and fatigue research through use of physiological monitoring devices, web-based and mobile device data collection methods, and integrated data storage techniques /." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Dec%5FO'Connor.pdf.

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Thesis (M.S. in Information Technology Management)--Naval Postgraduate School, December 2003.
Thesis advisor(s): Nita L. Miller, Thomas J. Housel. Includes bibliographical references (p. 115-117). Also available online.
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Gurung, Sanjaya. "Integrating environmental data acquisition and low cost Wi-Fi data communication." Thesis, University of North Texas, 2009. https://digital.library.unt.edu/ark:/67531/metadc12131/.

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This thesis describes environmental data collection and transmission from the field to a server using Wi-Fi. Also discussed are components, radio wave propagation, received power calculations, and throughput tests. Measured receive power resulted close to calculated and simulated values. Throughput tests resulted satisfactory. The thesis provides detailed systematic procedures for Wi-Fi radio link setup and techniques to optimize the quality of a radio link.
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Swarnkar, Divya. "Experience and analysis of the real time data acquisition system." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 59 p, 2005. http://proquest.umi.com/pqdweb?did=994252331&sid=12&Fmt=2&clientId=8331&RQT=309&VName=PQD.

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Thesis (M.S.)--University of Delaware, 2005.
Principal faculty advisors: Martin Swany, Dept.. of Computer & Information Sciences; and David Seckel, Dept. of Physics & Astronomy. Includes bibliographical references.
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16

Shuma, Mercy Violet 1957. "Design of a microcomputer "time interval board" for time interval statistical analysis of nuclear systems." Thesis, The University of Arizona, 1988. http://hdl.handle.net/10150/276685.

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A microcomputer based hardware, the Time Interval Board, was designed and the software interface control program was developed. The board measures time intervals between consecutive pulses from a discriminator output. The data is stored in on-board 16K x 16 memory. The microcomputer empties and processes the data when the on-board memory is filled. Data collection continues until the preset collection period is finished or a forced end is initiated. During this period, control is passed between the hardware and the microcomputer via the interface circuit. The designed hardware is IBM PC compatible.
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17

Soderstrom, Tyler Andrew. "Integration of on-line data reconciliation and bias identification techniques /." Full text (PDF) from UMI/Dissertation Abstracts International, 2001. http://wwwlib.umi.com/cr/utexas/fullcit?p3008445.

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18

Sun, Zhi. "Wavelet packet based structural health monitoring and damage assessment /." View Abstract or Full-Text, 2003. http://library.ust.hk/cgi/db/thesis.pl?CIVL%202003%20SUN.

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19

Pumrin, Suree. "A framework for dynamically measuring mean vehicle speed using un-calibrated cameras /." Thesis, Connect to this title online; UW restricted, 2002. http://hdl.handle.net/1773/6090.

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20

Jung, Uk. "Wavelet-based Data Reduction and Mining for Multiple Functional Data." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/5084.

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Advance technology such as various types of automatic data acquisitions, management, and networking systems has created a tremendous capability for managers to access valuable production information to improve their operation quality and efficiency. Signal processing and data mining techniques are more popular than ever in many fields including intelligent manufacturing. As data sets increase in size, their exploration, manipulation, and analysis become more complicated and resource consuming. Timely synthesized information such as functional data is needed for product design, process trouble-shooting, quality/efficiency improvement and resource allocation decisions. A major obstacle in those intelligent manufacturing system is that tools for processing a large volume of information coming from numerous stages on manufacturing operations are not available. Thus, the underlying theme of this thesis is to reduce the size of data in a mathematical rigorous framework, and apply existing or new procedures to the reduced-size data for various decision-making purposes. This thesis, first, proposes {it Wavelet-based Random-effect Model} which can generate multiple functional data signals which have wide fluctuations(between-signal variations) in the time domain. The random-effect wavelet atom position in the model has {it locally focused impact} which can be distinguished from other traditional random-effect models in biological field. For the data-size reduction, in order to deal with heterogeneously selected wavelet coefficients for different single curves, this thesis introduces the newly-defined {it Wavelet Vertical Energy} metric of multiple curves and utilizes it for the efficient data reduction method. The newly proposed method in this thesis will select important positions for the whole set of multiple curves by comparison between every vertical energy metrics and a threshold ({it Vertical Energy Threshold; VET}) which will be optimally decided based on an objective function. The objective function balances the reconstruction error against a data reduction ratio. Based on class membership information of each signal obtained, this thesis proposes the {it Vertical Group-Wise Threshold} method to increase the discriminative capability of the reduced-size data so that the reduced data set retains salient differences between classes as much as possible. A real-life example (Tonnage data) shows our proposed method is promising.
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Castagno, Thomas A. "The effect of knee pads on gait and comfort." Link to electronic thesis, 2004. http://www.wpi.edu/Pubs/ETD/Available/etd-0426104-174716.

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22

Harbour, Kenton Dean. "A data acquisition system with switched capacitor sample-and-hold." Thesis, Kansas State University, 1986. http://hdl.handle.net/2097/15269.

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Lund, Jonathan Gary. "The Storage of Parametric Data in Product Lifecycle Management Systems." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1257.pdf.

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24

Rossouw, Cornelius Marais. "The design of a low cost ad-hoc network for short distance data acquisition." Thesis, Link to the online version, 2008. http://hdl.handle.net/10019/2061.

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25

Ghosh, Sushmita. "Real time data acquisition for load management." Thesis, Virginia Tech, 1985. http://hdl.handle.net/10919/45726.

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Demand for Data Transfer between computers has increased ever since the introduction of Personal Computers (PC). Data Communicating on the Personal Computer is much more productive as it is an intelligent terminal that can connect to various hosts on the same I/O hardware circuit as well as execute processes on its own as an isolated system. Yet, the PC on its own is useless for data communication. It requires a hardware interface circuit and software for controlling the handshaking signals and setting up communication parameters. Often the data is distorted due to noise in the line. Such transmission errors are imbedded in the data and require careful filtering. The thesis deals with the development of a Data Acquisition system that collects real time load and weather data and stores them as historical database for use in a load forecast algorithm in a load management system. A filtering technique has been developed here that checks for transmission errors in the raw data. The microcomputers used in this development are the IBM PC/XT and the AT&T 3B2 supermicro computer.
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26

Li, Xiaojing School of Electrical Engineering &amp Telecommunications &amp School of Surveying &amp Spatial Information Systems UNSW. "Optimal integrated multi-sensor system for full-scale structural monitoring based on advanced signal processing." Awarded by:University of New South Wales. School of Electrical Engineering and Telecommunications & School of Surveying and Spatial Information Systems, 2006. http://handle.unsw.edu.au/1959.4/27284.

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Modern civil structures as well as loads on them are still too complex to be accurately modeled or simulated. Therefore, structural failures and structural defects are NOT uncommon! More and more full-scale structural monitoring systems have been deployed in order to monitor how structures behave under various loading conditions. This research focuses on how to maximise benefits from such full-scale measurements by employing advanced digital signal processing techniques. This study is based on accelerometer and GPS data collected on three very different structures, namely, the steel tower in Tokyo, the long and slender suspension bridge in Hong Kong, and the tall office tower in Sydney, under a range of loading conditions, i.e., typhoon, earthquake, heavy traffic, and small scale wind. Systematic analysis of accelerometer and GPS data has demonstrated that the two sensors complement each other in monitoring the static, quasi-static and dynamic movements of the structures. It has also been confirmed that the Finite Element Model could under-estimate the natural frequencies of structures by more than 40% in some case. The effectiveness of using wavelet to de-noise GPS measurement has been demonstrated. The weakness and strengths of accelerometer and GPS have been identified and framework has been developed on how to integrate the two as well as how to optimize the integration. The three-dimensional spectral analysis framework has been developed which can track the temporal evolution of all the frequency components and effectively represents the result in the 3D spectrogram of frequency, time and magnitude. The dominant frequency can also be tracked on the 3D mesh to vividly illustrate the damping signature of the structure. The frequency domain coherent analysis based on this 3D analysis framework can further enhance the detection of common signals between sensors. The developed framework can significantly improve the visualized performance of the integrated system without increasing hardware costs. Indoor experiments have shown the excellent characteristics of the optical fibre Bragg gratings (FBGs) for deformation monitoring. Innovative and low-cost approach has been developed to measure the shift of FBG???s central wavelength. Furthermore, a schematic design has been completed to multiplex FBGs in order to enable distributed monitoring. In collaboration with the University of Sydney, the first Australian full-scale structural monitoring system of GPS and accelerometer has been deployed on the Latitude Tower in Sydney to support current and future research.
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Kayabasi, Cezmi. "Settling Time Measurement Techniques Achieving High Precision at High Speeds." Link to electronic thesis, 2005. http://www.wpi.edu/Pubs/ETD/Available/etd-050505-140358/.

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28

Zhang, Tong. "Improving the performance of a traffic data management system." Ohio : Ohio University, 1999. http://www.ohiolink.edu/etd/view.cgi?ohiou1175198741.

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29

Lui, Samson Sze-Sang. "A Data Acquisition System Experiment for Gas Temperature and Pressure Measurements on a Liquid-Nitrogen-Powered Vehicle." Thesis, University of North Texas, 1998. https://digital.library.unt.edu/ark:/67531/metadc278790/.

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A data acquisition system was set up to measure gas temperatures and pressures at various points on a liquid-nitrogen-powered vehicle. The experiment was attempted to develop a data acquisition method for applications on engines that use liquid air as the fuel. Two thermocouples and a pressure transducer were connected using data acquisition instruments interfaced to a laptop computer to acquire data.
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30

Allwine, Daniel Alan. "Personal computer based data acquisition, sensing and control." Ohio : Ohio University, 1993. http://www.ohiolink.edu/etd/view.cgi?ohiou1174932273.

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31

Kamiya, Keitaro. "A framework of vision-based detection-tracking surveillance systems for counting vehicles." Thesis, Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45937.

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This thesis presents a framework for motor vehicle detection-tracking surveillance systems. Given an optimized object detection template, the feasibility and effectiveness of the methodology is considered for vehicle counting applications, implementing both a filtering operation of false detection, based on the speed variability in each segment of traffic state, and an occlusion handling technique which considers the unusual affine transformation of tracking subspace, as well as its highly fluctuating averaged acceleration data. The result presents the overall performance considering the trade-off relationship between true detection rate and false detection rate. The filtering operation achieved significant success in removing the majority of non-vehicle elements that do not move like a vehicle. The occlusion handling technique employed also improved the systems performance, contributing counts that would otherwise be lost. For all video samples tested, the proposed framework obtained high correct count (>93% correct counting rate) while simultaneously minimizing the false count rate. For future research, the author recommends the use of more sophisticated filters for specific sets of conditions as well as the implementation of discriminative classifier for detecting different occlusion cases.
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32

Nadella, Sunita. "Effect of machine vision based traffic data collection accuracy on traffic noise." Ohio : Ohio University, 2002. http://www.ohiolink.edu/etd/view.cgi?ohiou1174681979.

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33

Reisenhofer, Matthew Phillip. "A comparative analysis of three manufacturers of science probeware for the classroom." CSUSB ScholarWorks, 2006. https://scholarworks.lib.csusb.edu/etd-project/3035.

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Evaluates and assesses the probes and associated probeware of three manufacturers using a variety of criteria that are essential information for a consumer. The probes and probeware examined include Pasco Scientific's ScienceWorkshop, Venier's LabPro, and Onset's HOBO. Three experiments were used to test each of the criteria for comparison. Based on the data in the study no manufacturer proved themselves to be clearly the best, and taken collectively the benefits and drawbacks balance out.
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Hamid, Muhammad Raffay. "A computational framework for unsupervised analysis of everyday human activities." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/24765.

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Thesis (Ph.D.)--Computing, Georgia Institute of Technology, 2009.
Committee Chair: Aaron Bobick; Committee Member: Charles Isbell; Committee Member: David Hogg; Committee Member: Irfan Essa; Committee Member: James Rehg
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35

Cobb, Adam. "A state estimation framework for ultrasonic structural health monitoring of fastener hole fatigue cracks." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/22537.

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Thesis (Ph. D.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2008.
Committee Chair: Michaels, Jennifer; Committee Member: Habetler, Thomas; Committee Member: Jacobs, Laurence; Committee Member: Michaels, Thomas; Committee Member: Vachtsevanos, George.
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Lu, Yinghui. "Analysis and modeling of diffuse ultrasonic signals for structural health monitoring." Diss., Available online, Georgia Institute of Technology, 2007, 2007. http://etd.gatech.edu/theses/available/etd-07052007-225427/.

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Thesis (Ph. D.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2008.
Durgin, Gregory, Committee Member ; Vachtsevanos, George, Committee Member ; Michaels, Thomas, Committee Member ; Michaels, Jennifer, Committee Chair ; Jacobs, Laurence, Committee Member.
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Flaspohler, Genevieve Elaine. "Statistical models and decision making for robotic scientific information gathering." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120607.

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Thesis: S.M., Joint Program in Applied Ocean Physics and Engineering (Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science; and the Woods Hole Oceanographic Institution), 2018.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 97-107).
Mobile robots and autonomous sensors have seen increasing use in scientific applications, from planetary rovers surveying for signs of life on Mars, to environmental buoys measuring and logging oceanographic conditions in coastal regions. This thesis makes contributions in both planning algorithms and model design for autonomous scientific information gathering, demonstrating how theory from machine learning, decision theory, theory of optimal experimental design, and statistical inference can be used to develop online algorithms for robotic information gathering that are robust to modeling errors, account for spatiotemporal structure in scientific data, and have probabilistic performance guarantees. This thesis first introduces a novel sample selection algorithm for online, irrevocable sampling in data streams that have spatiotemporal structure, such as those that commonly arise in robotics and environmental monitoring. Given a limited sampling capacity, the proposed periodic secretary algorithm uses an information-theoretic reward function to select samples in real-time that maximally reduce posterior uncertainty in a given scientific model. Additionally, we provide a lower bound on the quality of samples selected by the periodic secretary algorithm by leveraging the submodularity of the information-theoretic reward function. Finally, we demonstrate the robustness of the proposed approach by employing the periodic secretary algorithm to select samples irrevocably from a seven-year oceanographic data stream collected at the Martha's Vineyard Coastal Observatory off the coast of Cape Cod, USA. Secondly, we consider how scientific models can be specified in environments - such as the deep sea or deep space - where domain scientists may not have enough a priori knowledge to formulate a formal scientific model and hypothesis. These domains require scientific models that start with very little prior information and construct a model of the environment online as observations are gathered. We propose unsupervised machine learning as a technique for science model-learning in these environments. To this end, we introduce a hybrid Bayesian-deep learning model that learns a nonparametric topic model of a visual environment. We use this semantic visual model to identify observations that are poorly explained in the current model, and show experimentally that these highly perplexing observations often correspond to scientifically interesting phenomena. On a marine dataset collected by the SeaBED AUV on the Hannibal Sea Mount, images of high perplexity in the learned model corresponded, for example, to a scientifically novel crab congregation in the deep sea. The approaches presented in this thesis capture the depth and breadth of the problems facing the field of autonomous science. Developing robust autonomous systems that enhance our ability to perform exploratory science in environments such as the oceans, deep space, agricultural and disaster-relief zones will require insight and techniques from classical areas of robotics, such as motion and path planning, mapping, and localization, and from other domains, including machine learning, spatial statistics, optimization, and theory of experimental design. This thesis demonstrates how theory and practice from these diverse disciplines can be unified to address problems in autonomous scientific information gathering.
by Genevieve Elaine Flaspohler.
S.M.
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38

Cui, Alex. "Bus passenger Origin-Destination Matrix estimation using Automated Data Collection systems." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/37970.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2006.
Includes bibliographical references (p. 93-94).
Automatic Data Collection (ADC systems can enhance the ability of transit agencies to obtain useful planning information that was previously too expensive to obtain. This thesis documents the development of an algorithm to estimate a Bus Passenger Trip Origin-Destination Matrix (OD Matrix) based on ADC system archived data including Automated Fare Collection (AFC data, Automatic Passenger Count (APC data, and Automatic Vehicle Location (AVL) data. This algorithm consists of three steps: data preparation, estimation of a Single Route OD Matrices for all routes, and estimation of a Network Level OD Matrix using transfer flow information. The single route OD matrix estimation requires the development of a "seed" matrix derived primarily from AFC data and the "marginal" control totals, i.e. the boarding and alighting counts, derived primarily from APC data. Both Iterative Proportional Fitting (IPF) and Maximum Likelihood Estimation (LE) techniques are used to estimate the single route OD matrices based on seed matrices and marginal values, and the results from these two techniques are compared. For the network level OD matrix estimation, we estimate the transfer flows by considering the consecutive transactions from AFC data.
(cont.) The resulting network level OD matrix is provided at a route segment level (3-5 combined stops) of detail. This OD estimation algorithm is illustrated by its application to a selected corridor of the Chicago Transit Authority (CTA) bus network This OD estimation algorithm can be practically applied to a full-size bus network It is recommended that the MLE method be used to estimate the single route OD matrices and the proportional distribution method be used to estimate the transfer flow OD matrix.
by Alex Cui.
S.M.
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39

Schil, Mickaël (Mickaël René Jerôme). "Measuring journey time reliability in London using automated data collection systems." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/74273.

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Thesis (S.M. in Transportation)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2012.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student submitted PDF version of thesis.
Includes bibliographical references (p. 161-162).
Service reliability is critical for both users and operators of transit systems. The rapid spread of Automated Data Collection Systems, such as Automated Fare Collection (AFC) and Automatic Vehicle Location (AVL), provides new sources of information that can be used to measure and assess service reliability. The main objective of this thesis is to develop a set of simple, customer-driven metrics of journey time reliability, that could be useful and meaningful for both customers and operators. The set of metrics are consistent across transit modes (rail and bus networks). The proposed methodology, common to rail and bus systems, consists of (1) an analysis of the journey time distributions at the finest spatial and temporal resolution, the origin-destination pair (O-D) and time period level (customer perspective), (2) the aggregation of the reliability metrics at the line (route) level (operator perspective), and (3) the definition of journey time reliability standards at the O-D pair and time period level, by the identification of a representative "good" journey time distribution (both customer and operator perspective). For fully gated transit systems, like the London Underground, AFC data provides direct travel time measures for every journey from the fare gate at the entry station to the fare gate at the exit station. For non-gated systems, such as many bus networks, no information is available on passengers' arrival times at the origin bus stop. A method that combines AVL and AFC data is proposed to estimate waiting times at stops so that they can be included in the journey time reliability calculation. Furthermore, the method accounts for the multiple overlapping routes that sometimes serve the same O-D pairs. The proposed methodology is tested using the London public transport system as an illustration. The use of the reliability metrics for operators and customers is also discussed, with proposed modifications of the information provided by journey planners.
by Mickaël Schil.
S.M.in Transportation
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Li, Fu Min. "Collecting web data for social science research." Thesis, University of Macau, 2018. http://umaclib3.umac.mo/record=b3953492.

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Žurauskas, Mantas. "Advanced systems and methods for collecting accurate data in optical coherence tomography." Thesis, University of Kent, 2014. https://kar.kent.ac.uk/48728/.

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Optical coherence tomography (OCT) has recently emerged as a valuable technique in biomedical research and medical diagnostics. OCT based instruments allow acquisi- tion of high-resolution information about the internal structure of translucent organs and tissues without damaging the object. However, unaccounted object movements reduce the quality of acquired data, particularly in functional imaging and in OCT modalities that rely on continuous monitoring. Therefore there is a need for methods that allow mitigating the negative effects of the object movements on the data quality. In this thesis we present several methods and devices that allow improving the ac- curacy of collected data. First we introduce a novel frequency multiplexing method for OCT, which enables simultaneous measurements using several frequency-encoded channels. By doing so, several parameters are measured in the same time, reducing the time to acquire the data and making the technology less sensitive to object movements. We employed the method to extend the functionality of several OCT modalities. We have applied the multiplexer to enable simultaneous en face time domain OCT imag- ing at different depths. We have demonstrated a polarisation sensitive OCT set-up where different multiplexer channels are employed to perform polarisation sensitive measurements. Furthermore, we have demonstrated how the multiplexer can be applied to extend the sensitivity range in swept source based OCT systems. The experiments presented in this thesis illustrate the flexibility of our new multiplexing method, which has proven useful not only for increasing the accuracy of collected data, but as well for increasing the efficiency in using the light from the object. Alternatively, we have investigated tracking as a way to improve the quality of the OCT data acquired from the moving targets. We have demonstrated a closed-loop tracking based set-up that uses low coherence interferometry to continuously monitor the cardiac dynamics of a Drosophila melanogaster embryo.
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King, Brent. "Automatic extraction of knowledge from design data." Thesis, University of Sunderland, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307964.

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Zhou, Yan. "Development of a data collection system for small Unmanned Aerial Vehicles (UAVs)." Thesis, Cape Peninsula University of Technology, 2011. http://hdl.handle.net/20.500.11838/1299.

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Dissertation (MTech (Mechanical Engineering))--Cape Peninsula University of Technology, 2011
This paper presents the development of a data collection system for a small unmanned Aerial Vehicle (UAV) flight. The following three facets comprise of a UAV system: (1) a UAV aircraft; (2) onboard avionics; and (3) a ground control station subsystem (Taha et al., 2010:1). In this project, the UAV aircraft is based on the low-cost autonomous quad-rotator system named “Arducopter Quad”, where the onboard avionic system utilizes both an ArduPilot Mega (APM) on-board controller and IMU sensor shield, while the “Mission Planner” software operates as GCS software to gather essential flight data (Xiang & Tian, 2011:176). The approach provides the UAV system structure and both hardware and software with a small UAV data collection system, which is examined throughout the study. And introduce the concept of Arducopter dynamics for better understanding with its flight control. The study also considers the communication process between the UAV and the ground control station. The radio wave is an important aspect in the UAV data collection system (Austin, 2010:143). The literature review introduced the basis of the radio wave in respect of its travelling speed, and its characteristics of propagation, including how different frequencies will affect radio wave propagation. The aim of this project was to develop a platform for a small UAV real-time data collection system. The pendulum system was involved to simulate the “Roll” movement of the small UAV, while real-time IMU sensor data was successfully collected at ground control station (GCS), both serial communication and wireless communication, which was applied in the data collection process. The microwave generator interference test proves that the 2.4 GHz XBee module is capable of establishing reliable indoor communication between the APM controller and the GCS. The work of this project is towards development of additional health monitoring technology to prevent the safety issue of the small UAV. The data collection system can be used as basis for the future research of real-time health monitoring for various small UAVs.
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Gude, Dana Maxine. "Automated hand-forearm ergometer data acquisition and analysis system." Thesis, Kansas State University, 2013. http://hdl.handle.net/2097/16278.

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Master of Science
Department of Electrical & Computer Engineering
Steve Warren
Handgrip contractions are a standard exercise modality to evaluate muscular system performance. Most conventional ergometer systems that collect handgrip contraction data are manually controlled, placing a burden on the researcher to guide subject activity while recording the resultant data. Further, post-processing tools for this type of experiment are not standardized within the domain, which requires investigators to process their data with multiple tool sets and often create custom tool sets for that purpose. This can make experimental data difficult to compare and correlate, even within the same research group. This thesis presents updates to a hand-forearm ergometer system that automate the control and data-acquisition processes as well as provide a tool set to post process hand contraction data. The automated system utilizes a LabVIEW virtual instrument as the system centerpiece; it provides the subject/researcher interfaces and coordinates data acquisition from both traditional and new sensors. The tool set also incorporates a collection of MATLAB scripts that allow the investigator to post process these data in a standard way, such as automating the processes of noise floor removal, burst start/stop time identification, and mean/median frequency calculation in electromyograms (EMGs). The tool set has proven to be a viable support resource for experimental studies performed by the Kansas State University Human Exercise Physiology lab that target muscle fatigue in human forearms. Initial data acquired during these tests indicate the viability of the system to acquire consistent and physiologically meaningful data while providing a usable tool set for follow-on data analyses.
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Wang, Wei S. M. Massachusetts Institute of Technology. "Bus passenger origin-destination estimation and travel behavior using automated data collection systems in London, UK." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/60814.

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Thesis (S.M. in Transportation)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 105-106).
This research explores the application of archived data from Automatic Data Collection Systems (ADCS) to transportation planning with a focus on bus passenger Origin-Destination (OD) inferences at the bus-route level and on travel behavior, using London as an example. This research demonstrates the feasibility and ease of applying the trip-chaining method to infer bus passengers' boarding and alighting locations, and validates the results by comparing them with the Bus Passenger Origin and Destination (BODS) survey data in London. With the inferred OD matrices, the variations of weekday and weekend bus route OD patterns over a two-week period are examined for planning purposes. Given these variations, reliance on ADCS can provide transit planners with more comprehensive, reliable and correct information for service planning than traditional manual surveys. Moreover, while interchange conditions and performance are considered important inputs for public transit planning, collecting such data has not been easy. Based on the inferred OD matrices and the Automatic Vehicle Location (AVL) data, alighting times for bus passengers can also be estimated. As a result, bus journey stages can easily be linked to form complete journeys based on the difference between the subsequent trip's boarding time and the previous trip's alighting time for each bus passenger. By comparing the interchange time and the connecting bus route's headway, this research also provides a way to evaluate connecting bus services and bus passengers' interchange patterns. Finally, this research can be expanded to the full bus network and other travel modes, opening the door to developing more comprehensive data bases for use in intermodal network planning.
by Wei Wang.
S.M.in Transportation
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Kupferschmidt, Benjamin, and Eric Pesciotta. "Automatic Format Generation Techniques for Network Data Acquisition Systems." International Foundation for Telemetering, 2009. http://hdl.handle.net/10150/606089.

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ITC/USA 2009 Conference Proceedings / The Forty-Fifth Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2009 / Riviera Hotel & Convention Center, Las Vegas, Nevada
Configuring a modern, high-performance data acquisition system is typically a very timeconsuming and complex process. Any enhancement to the data acquisition setup software that can reduce the amount of time needed to configure the system is extremely useful. Automatic format generation is one of the most useful enhancements to a data acquisition setup application. By using Automatic Format Generation, an instrumentation engineer can significantly reduce the amount of time that is spent configuring the system while simultaneously gaining much greater flexibility in creating sampling formats. This paper discusses several techniques that can be used to generate sampling formats automatically while making highly efficient use of the system's bandwidth. This allows the user to obtain most of the benefits of a hand-tuned, manually created format without spending excessive time creating it. One of the primary techniques that this paper discusses is an enhancement to the commonly used power-of-two rule, for selecting sampling rates. This allows the system to create formats that use a wider variety of rates. The system is also able to handle groups of related measurements that must follow each other sequentially in the sampling format. This paper will also cover a packet based formatting scheme that organizes measurements based on common sampling rates. Each packet contains a set of measurements that are sampled at a particular rate. A key benefit of using an automatic format generation system with this format is the optimization of sampling rates that are used to achieve the best possible match for each measurement's desired sampling rate.
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Kuehl, Phillip Anthony. "Real-time processing of electromyograms in an automated hand-forearm data collection and analysis system." Thesis, Kansas State University, 2015. http://hdl.handle.net/2097/19087.

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Master of Science
Department of Electrical and Computer Engineering
Steven Warren
Handgrip contractions are a useful exercise for assessing muscle fatigue in the forearm musculature. Most conventional hand-forearm ergometer systems require the researcher to manually guide subject activity, collect subject data, and assess subject fatigue after it has occurred. Since post-processing tools are not standardized for this type of experiment, researchers resort to building their own tools. This process can make comparing results between research groups difficult. This thesis presents updates to a hand-forearm ergometer system that automate the control, data-acquisition, and data-analysis mechanisms. The automated system utilizes a LabVIEW virtual instrument as the system centerpiece; it provides the subject/researcher interfaces and coordinates data acquisition from both traditional and new sensors. The system also processes the hand-forearm data within the LabVIEW environment as the data are collected. This allows the researcher to better understand the onset of subject fatigue while an experiment is in progress. System upgrades relative to prior work include the addition of new parameters to the researcher display, a change in the subject display from a binary up-down display to a sliding bar for better control over subject grip state, and a software update from a simple data acquisition and display system to a real-time processing system. The toolset has proven to be a viable support resource for experimental studies performed in the Kansas State University Human Exercise Physiology Laboratory that target muscle fatigue in human forearms. Initial data acquired during these tests indicate the viability of the system to acquire consistent and physiologically meaningful data while providing a useable toolset for follow-on data analyses.
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Wu, Xi. "METADATA-BASED IMAGE COLLECTING AND DATABASING FOR SHARING AND ANALYSIS." UKnowledge, 2019. https://uknowledge.uky.edu/cs_etds/80.

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Data collecting and preparing is generally considered a crucial process in data science projects. Especially for image data, adding semantic attributes when preparing image data provides much more insights for data scientists. In this project, we aim to implement a general-purpose central image data repository that allows image researchers to collect data with semantic properties as well as data query. One of our researchers has come up with the specific challenge of collecting images with weight data of infants in least developed countries with limited internet access. The rationale is to predict infant weights based on image data by applying Machine Learning techniques. To address the data collecting issue, I implemented a mobile application which features online and offline image and annotation upload and a web application which features image query functionality. This work is derived and partly decoupled from the previous project – ImageSfERe (Image Sharing for Epilepsy Research), which is a web-based platform to collect and share epilepsy patient imaging.
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Kim, Ashley. "Estimating Transit Ridership Patterns through Automated Data Collection Technology: A Case Study in San Luis Obispo, California." DigitalCommons@CalPoly, 2017. https://digitalcommons.calpoly.edu/theses/1775.

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Public transportation offers a crucial solution to the travel demand in light of national and global economic, energy, and environmental challenges. If implemented effectively, public transit offers an affordable, convenient, and sustainable transportation mode. Implementation of new technologies for information-harvesting may lead to more effective transit operations. This study examines the potential of automated data collection technologies to analyzing and understand the origin-destination flow patterns, which is essential for transit route planning and stop location placement. This thesis investigates the collection and analysis of data of passengers onboard San Luis Obispo Transit buses in February and March 2017 using Bluetooth (BT) and automatic passenger counter (APC) data. Five BlueMAC detectors were placed on SLO Transit buses to collect Bluetooth data. APC data was obtained from San Luis Obispo Transit. The datasets were used to establish a data processing method to exclude invalid detections, to identify and process origin and destination trips of passengers, and to make conclusions regarding passenger behavior. The filtering methods were applied to the Bluetooth data to extract counts of unique passenger information and to compare the filtered data to the ground-truth APC data. The datasets were also used to study the San Luis Obispo Downtown Farmer’s Market and its impact on transit ridership demand. The investigation revealed that after carefully employing the filters on BT data there were no consistent patterns in differences between unique passenger counts obtained from APC data and the BT data. As a result, one should be careful in employing BT data for transit OD estimation. Not every passenger enables Bluetooth or owns a Bluetooth device, so relying on the possession of Bluetooth-enabled devices may not lead to a random sample, resulting in misleading travel patterns. Based on the APC data, it was revealed that transit ridership is 40% higher during the days during which Higuera Street in Downtown San Luis Obispo is used for Farmer’s Market – a classic example of tactical urbanism. Increase in transit ridership is one of the aspects of tactical urbanism that may be further emphasized. With rapidly-evolving data collection technologies, transit data collection methods could expand beyond the traditional onboard survey. The lessons learned from this study could be expanded to provide a robust and detailed data source for transit operations and planning.
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Nisley, William Hughes. "Automated meteorological and oceanographic data collection and distribution in support of C4I, weapons, and remote sensing systems." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2000. http://handle.dtic.mil/100.2/ADA384991.

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Thesis (M.S. in Meteorology and Physical Oceanography) Naval Postgraduate School, Sept. 2000.
Thesis advisor(s): Davidson, Kenneth L.; Goroch, Andreas K. "September 2000." Includes bibliographical references (p. 74). Also available Iin print.
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