• Title/Summary/Keyword: Field-data collection

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Pressure equalization of rainscreen facades: Analysis of the field data in the frequency domain

  • Kumar, K. Suresh;Wisse, J.A.
    • Wind and Structures
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    • v.4 no.2
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    • pp.101-118
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    • 2001
  • This paper reports the field measurements concerning pressure equalization of rainscreen facades carried out at the Technical University of Eindhoven (TUE) in the Netherlands. The field facility including the details of test panel, meteorological tower, instrumentation, data collection and analysis is presented. Results of investigations into cavity response for various leakage and venting configurations are discussed. Frequency domain techniques have been utilized to show the influence of wind as well as facade characteristics on the pressure equalization performance. Further, this paper presents an early attempt to synthesize the experimental results into existing building codes.

An Automatic Data Collection System for Human Pose using Edge Devices and Camera-Based Sensor Fusion (엣지 디바이스와 카메라 센서 퓨전을 활용한 사람 자세 데이터 자동 수집 시스템)

  • Young-Geun Kim;Seung-Hyeon Kim;Jung-Kon Kim;Won-Jung Kim
    • The Journal of the Korea institute of electronic communication sciences
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    • v.19 no.1
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    • pp.189-196
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    • 2024
  • Frequent false positives alarm from the Intelligent Selective Control System have raised significant concerns. These persistent issues have led to declines in operational efficiency and market credibility among agents. Developing a new model or replacing the existing one to mitigate false positives alarm entails substantial opportunity costs; hence, improving the quality of the training dataset is pragmatic. However, smaller organizations face challenges with inadequate capabilities in dataset collection and refinement. This paper proposes an automatic human pose data collection system centered around a human pose estimation model, utilizing camera-based sensor fusion techniques and edge devices. The system facilitates the direct collection and real-time processing of field data at the network periphery, distributing the computational load that typically centralizes. Additionally, by directly labeling field data, it aids in constructing new training datasets.

Lessons from constructing and operating the national ecological observatory network

  • Christopher McKay
    • Journal of Ecology and Environment
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    • v.47 no.4
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    • pp.187-192
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    • 2023
  • The United States (US) National Science Foundation's (NSF's) National Ecological Observatory Network (NEON) is a continental-scale observation facility, constructed and operated by Battelle, that collects long-term ecological data to better understand and forecast how US ecosystems are changing. All data and samples are collected using standardized methods at 81 field sites across the US and are freely and openly available through the NEON data portal, application programming interface (API), and the NEON Biorepository. NSF led a decade-long design process with the research community, including numerous workshops to inform the key features of NEON, culminating in a formal final design review with an expert panel in 2009. The NEON construction phase began in 2012 and was completed in May 2019, when the observatory began the full operations phase. Full operations are defined as all 81 NEON sites completely built and fully operational, with data being collected using instrumented and observational methods. The intent of the NSF is for NEON operations to continue over a 30-year period. Each challenge encountered, problem solved, and risk realized on NEON offers up lessons learned for constructing and operating distributed ecological data collection infrastructure and data networks. NEON's construction phase included offices, labs, towers, aquatic instrumentation, terrestrial sampling plots, permits, development and testing of the instrumentation and associated cyberinfrastructure, and the development of community-supported collection plans. Although colocation of some sites with existing research sites and use of mostly "off the shelf" instrumentation was part of the design, successful completion of the construction phase required the development of new technologies and software for collecting and processing the hundreds of samples and 5.6 billion data records a day produced across NEON. Continued operation of NEON involves reexamining the decisions made in the past and using the input of the scientific community to evolve, upgrade, and improve data collection and resiliency at the field sites. Successes to date include improvements in flexibility and resilience for aquatic infrastructure designs, improved engagement with the scientific community that uses NEON data, and enhanced methods to deal with obsolescence of the instrumentation and infrastructure across the observatory.

Object-Oriented Field Information Management Program Developed for Precision Agriculture

  • Sung J. H.;Choi K. M.
    • Agricultural and Biosystems Engineering
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    • v.4 no.2
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    • pp.50-57
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    • 2003
  • This study was conducted to develop software which provides automatic site-specific field data acquisition, data processing, data mapping and management for precision agriculture. The developed software supports acquisition and processing of both digital and analog data streams. The architecture was object-oriented and each component in the architecture was developed as a separate class. In precision agriculture research, the laborious task of manual ground-truth data collection will be avoided using the developed software. In addition, gathering high-density data eliminates the need for interpolation of values for un-sampled areas. This software shows good potential for expansion and compatibility for variable-rate-application (VRA). The FIM (Field Information Management) computer program provides the user with an easy-to-follow process for field information management for precision agriculture.

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A Study on Collection Efficiency of Pilot Electrostatic Precipitator (연소장치를 이용한 소형 전기집진장치의 집진 효율에 관한 연구)

  • 한재균;최금찬
    • Journal of Korean Society for Atmospheric Environment
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    • v.9 no.2
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    • pp.125-131
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    • 1993
  • Electrostatic Precipitator has been widely used to get high efficiency which is required for collection of fine particles. In order to provide collection efficiency and size distribution data for a pilot electrostatic precipitator, a pilot study has been conducted on fly ash from pulverized coal burning apparatus. The aims of this study are to investigate characteristics of electric charge, to measure collection efficiency varied with the applied voltage, to get an optimum current and current density. Optimum current density was obtained to 0.7mA/$cm^2$ at the average electric field strength 2.33kV/cm in this experiment. Maximum particle collection efficiency was indicated 99.21% at the applied voltage 7kV. Finally, particle size distribution is also compared with photographic results. Both coarse and fine particles at the range of 0.5$\sim$2$\mu$m and 3$\sim$10 SEM $\mu$m were clearly removed by increasing applied voltage.

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A Study on the Construction of Contents for Collection Management Web Sites of University Libraries (대학도서관 장서관리 웹사이트 컨텐츠구성에 관한 연구)

  • Yoon, Hye-Young
    • Journal of the Korean Society for Library and Information Science
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    • v.36 no.1
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    • pp.165-186
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    • 2002
  • The collection management paradigm has drastically changed since the emergence of collection management activities on the internet. Due to the technological development of web, web has become the newly open field as a useful tool to facilitate collection management transactions. The purpose of this study is, by evaluating web sites of the university library’s collection management in United States, to construct the contents of collection management web site. To fulfill the purpose, 6 categories for the contents of the collection management web site are suggested. The result of this study can be used as the basic data for researching of collection management web site. Web site is playing a role of stepping up its activities and informing useful information on its selection tool and collection development policy.

Mapping Within-field Variability Using Airborne Imaging Systems: A Case Study from Missouri Precision Agriculture

  • Hong, S.Y.;Sudduth, K.A.;Kitchen, N.R.;Palm, H.L.;Wiebold, W.J.
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.1049-1051
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    • 2003
  • This study investigated the use of airborne image data to provide estimates of within -field variability in soil properties and crop growth as an alternative to extensive field data collection. Hyperspectral and multispectral images were acquired in 2000, 2001, and 2002 for central Missouri experimental fields. Data were converted to reflectance using chemically-treated reference tarps with known reflectance levels. Geometric distortion of the hyperspectral pushbroom sensor images was corrected with a rubber sheeting transformation. Statistical analyses were used to relate image data to field-measured soil properties and crop characteristics. Results showed that this approach has potential; however, it is important to address a number of implementation issues to insure quality data and accurate interpretations.

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A Qualitative Study on the Professional Competencies of Collection Development Librarians in Academic Libraries (대학도서관 장서개발담당 사서의 전문성 역량에 관한 질적 연구)

  • Chang, Durk-Hyun
    • Journal of Korean Library and Information Science Society
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    • v.46 no.4
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    • pp.227-244
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    • 2015
  • The study aims at identifying professional competencies of collection development librarians in academic libraries. For this, the study collected data through qualitative interviews with 8 librarians who are in charge of collection development programs in four-year university libraries. As a result, the professional competency components emerging from interviews were divided into three parts; knowledge in library and information science, knowledge in subject field, and professionalism. Detailed components of three parts of professional competency were divided into 13 sub-categories, with 37 meanings. It is expected that the study as an exploratory research may provide further research to design educational and training programs for collection development librarians with basic data.

Automatic Extraction of Fractures and Their Characteristics in Rock Masses by LIDAR System and the Split-FX Software (LIDAR와 Split-FX 소프트웨어를 이용한 암반 절리면의 자동추출과 절리의 특성 분석)

  • Kim, Chee-Hwan;Kemeny, John
    • Tunnel and Underground Space
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    • v.19 no.1
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    • pp.1-10
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    • 2009
  • Site characterization for structural stability in rock masses mainly involves the collection of joint property data, and in the current practice, much of this data is collected by hand directly at exposed slopes and outcrops. There are many issues with the collection of this data in the field, including issues of safety, slope access, field time, lack of data quantity, reusability of data and human bias. It is shown that information on joint orientation, spacing and roughness in rock masses, can be automatically extracted from LIDAR (light detection and ranging) point floods using the currently available Split-FX point cloud processing software, thereby reducing processing time, safety and human bias issues.

Bluetooth-based for user exercise data collection mobile app design (사용자 운동 데이터 수집을 위한 블루투스 기반 모바일 앱 설계)

  • Lee, Hyoun-Sup
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.321-322
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    • 2022
  • Recently, in the field of health care, health management topics are being dealt with a lot. In particular, services are concentrated in the field of exercise, and many exercise equipment fused with the 4th industry-based technology are also appearing. In general, a form of collecting user's exercise information by mounting various sensors on exercise equipment and linking services based on this is representative. In this paper, we propose an efficient data transmission based on the design in the process of transmitting the exercise data generated by the equipment to the smartphone through the Bluetooth-based IoT sensor and transmitting it back to the exercise information analysis platform.

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