• Title/Summary/Keyword: Spatial experiment

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Effects of Circulation Fans on Uniformity of Meteorological Factors in Warm Air Heated Greenhouse (순환팬이 온풍난방 온실의 기상분포 균일화에 미치는 영향)

  • Yu, In-Ho;Cho, Myeong-Whan;Lee, Si-Young;Chun, Hee;Lee, In-Bok
    • Journal of Bio-Environment Control
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    • v.16 no.4
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    • pp.291-296
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    • 2007
  • This study was conducted to investigate the effects of horizontal air flow produced by circulation fans on horizontal and vertical profiles of meteorological factors. The three-dimensional distributions of air speed, air temperature, relative humidity and carbon dioxide $(CO_2)$ concentration were measured with and without the fans in operation. The uniformity of the spatial distribution of meteorological factors decreased as the outside air temperature decreased. In "fans off" condition, spatial variations of $4.7^{\circ}C$ in air temperature, 19% in relative humidity were detected. When the fans were operated, these variations were reduced to 2.2 and 6.3%, respectively. As the fan capacity increased, the difference in air temperature among sampling points decreased. The fan capacity of $0.0104m^3{\cdot}s^{-1}{\cdot}m^{-2}$ was enough to obtain a reasonable air flow in greenhouse. The vertical profiles of air temperature and $CO_2$ concentration were reasonably uniform regardless of measurement height and fan capacity. Further researches on the position of fans to reduce the difference in air temperature along the width and the effects of using a larger number of smaller fans are required.

Comparison of Spatio-temporal Fusion Models of Multiple Satellite Images for Vegetation Monitoring (식생 모니터링을 위한 다중 위성영상의 시공간 융합 모델 비교)

  • Kim, Yeseul;Park, No-Wook
    • Korean Journal of Remote Sensing
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    • v.35 no.6_3
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    • pp.1209-1219
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    • 2019
  • For consistent vegetation monitoring, it is necessary to generate time-series vegetation index datasets at fine temporal and spatial scales by fusing the complementary characteristics between temporal and spatial scales of multiple satellite data. In this study, we quantitatively and qualitatively analyzed the prediction accuracy of time-series change information extracted from spatio-temporal fusion models of multiple satellite data for vegetation monitoring. As for the spatio-temporal fusion models, we applied two models that have been widely employed to vegetation monitoring, including a Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM) and an Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM). To quantitatively evaluate the prediction accuracy, we first generated simulated data sets from MODIS data with fine temporal scales and then used them as inputs for the spatio-temporal fusion models. We observed from the comparative experiment that ESTARFM showed better prediction performance than STARFM, but the prediction performance for the two models became degraded as the difference between the prediction date and the simultaneous acquisition date of the input data increased. This result indicates that multiple data acquired close to the prediction date should be used to improve the prediction accuracy. When considering the limited availability of optical images, it is necessary to develop an advanced spatio-temporal model that can reflect the suggestions of this study for vegetation monitoring.

Quantitative Evaluation of Super-resolution Drone Images Generated Using Deep Learning (딥러닝을 이용하여 생성한 초해상화 드론 영상의 정량적 평가)

  • Seo, Hong-Deok;So, Hyeong-Yoon;Kim, Eui-Myoung
    • Journal of Cadastre & Land InformatiX
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    • v.53 no.2
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    • pp.5-18
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    • 2023
  • As the development of drones and sensors accelerates, new services and values are created by fusing data acquired from various sensors mounted on drone. However, the construction of spatial information through data fusion is mainly constructed depending on the image, and the quality of data is determined according to the specification and performance of the hardware. In addition, it is difficult to utilize it in the actual field because expensive equipment is required to construct spatial information of high-quality. In this study, super-resolution was performed by applying deep learning to low-resolution images acquired through RGB and THM cameras mounted on a drone, and quantitative evaluation and feature point extraction were performed on the generated high-resolution images. As a result of the experiment, the high-resolution image generated by super-resolution was maintained the characteristics of the original image, and as the resolution was improved, more features could be extracted compared to the original image. Therefore, when generating a high-resolution image by applying a low-resolution image to an super-resolution deep learning model, it is judged to be a new method to construct spatial information of high-quality without being restricted by hardware.

Human's Spatial Cognition Using Auditory Stimulation

  • Yu, M.;Park, Y.G.;Jeong, S.H.;Chong, W.S.;Kwon, T.K.;Hong, C.U.;Kim, N.G.
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.202-205
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    • 2004
  • This paper represents the role of pinna in localizing target direction. Specially, this paper described what is the role of right-side pinna versus left-side pinna. In this experiment, one side of the pinna function was distorted intentionally by inserting a short tube on the ear canal. The localization error caused by right and left side pinna distortion was investigated. Since a laser pointer showed much less error (0.5%) in localizing target position than FASTRAK (30%) that has been generally used, it was used for the pointing task. It was found that harmonic components were not essential for the auditory target localization, however, non-harmonic nearby frequency components were more important to localize target direction of sound. We have found that the right pinna is one of the most important functions in localizing target direction and pure tone with only one frequency component is confusing for localization.

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Evaluation on the Structural Performance of Hybrid Damper Using High-damping Rubber and Steel (고감쇠고무와 강재를 이용한 복합제진댐퍼의 구조성능평가)

  • Kim, Ji-Young;Jung, In-Yong;Kim, Hyung-Geun;Kim, Do-Hyun
    • Journal of Korean Association for Spatial Structures
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    • v.16 no.3
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    • pp.99-106
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    • 2016
  • The proposed hybrid damper installs at a coupling beam and consists of a high-damping rubber (HDR) and steel pin. The proposed hybrid damper adopted a pin-lock system acts as a viscoelastic damper under wind load (small displacement) while it behaves as a hysteretic damper under earthquake load (large displacement). In this paper, the pin-lock mechanism and structural performance of the proposed hybrid damper is evaluated through experiment. Experiments were carried out with the variables which displacement, loading frequency and steel pin quantities were used. Test results showed that the pin-lock mechanism and the performance of the hybrid damper under a large displacement were verified. Also equivalent damping ratios of HDR were increasing at a small displacement as displacement amplitudes were increasing. However HDR did not depend on frequency.

Flicker-Free Spatial-PSK Modulation for Vehicular Image-Sensor Systems Based on Neural Networks (신경망 기반 차량 이미지센서 시스템을 위한 플리커 프리 공간-PSK 변조 기법)

  • Nguyen, Trang;Hong, Chang Hyun;Islam, Amirul;Le, Nam Tuan;Jang, Yeong Min
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.41 no.8
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    • pp.843-850
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    • 2016
  • This paper introduces a novel modulation scheme for vehicular communication in taking advantage of existing LED lights available on a car. Our proposed 2-Phase Shift Keying (2-PSK) is a spatial modulation approach in which a pair of LED light sources in a car (either rear LEDs or front LEDs) is used as a transmitter. A typical camera (i.e. low frame rate at no greater than 30fps) that either a global shutter camera or a rolling shutter camera can be used as a receiver. The modulation scheme is a part of our Image Sensor Communication proposal submitted to IEEE 802.15.7r1 (TG7r1) recently. Also, a neural network approach is applied to improve the performance of LEDs detection and decoding under the noisy situation. Later, some analysis and experiment results are presented to indicate the performance of our system

A Study on Spatial Change of the Agricultural Experimental Organizations in Suwon (수원 권업모범장의 공간변화에 관한 연구)

  • Ahn, Kug-jin;Kwon, Joon-hyung
    • Journal of architectural history
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    • v.27 no.5
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    • pp.39-48
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    • 2018
  • The Agricultural Experimental Organizations[勸業模範場] in Suwon is Korea's first agricultural promotion facility. It was founded in 1906. This study aim to find the area and spatial composition of 勸業模範場. The results are as follows. When it founded, the Agricultural Experimental Organizations was operated centering on the main hall, and then since the pillage of national sovereignty in 1910, it was moved to the jurisdiction of the Japanese Government General of Korea and operated with the addition of the agricultural/forestry school. In 1913, the reductive egg production/distribution was moved from Yongsan branch to Suwon, and reductive egg producing site and female sericulture training office were installed in Suwon. It is supposed that at the time, the Agricultural Experimental Organizations was divided into the main hall-centered area, the Suwon agricultural/forestry school at the south side, and the reductive egg producing site and female sericulture training office even more down south. Since 1920, the agricultural/forestry school came out of the jurisdiction of the Agricultural Experimental Organizations, such that the Agricultural Experimental Organizations was left with only the main hall-centered area and the area with the reductive egg producing site and female sericulture training office. In this study, these two areas are referred to as 'the main hall area' and 'the sericulture area.

Experimental Study on the Structural Capacity of the U-Flanged Truss Steel Beam With Reinforced End by Steel Plates (단부 보강에 따른 U-플랜지 트러스 보의 구조 내력에 관한 실험 연구)

  • Oh, Myoung Ho;Kim, Young Ho
    • Journal of Korean Association for Spatial Structures
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    • v.20 no.2
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    • pp.31-38
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    • 2020
  • U-flanged truss beam is composed of u-shaped upper steel flange, lower steel plate of 8mm or more thickness, and connecting lattice bars. Upper flange and lower plate are connected by the diagonal lattice bars welded on the upper and lower sides. In this study, the details of delayed buckling of lattice members were developed through reinforcement of the end section, in order to improve structural capacity of U-flanged Truss Steel Beam. To verify the effects of these details, the simple beam experiment was conducted. The maximum capacity of all the specimens were determined by the buckling of the lattice. The vertical reinforced details of the ends with steel plates, rather than the details reinforced with steel bars, are confirmed to be a valid method for enhancing the structural capacity of the U-flanged Truss beam. In addition, U-flanged Truss Steel Beam with reinforced endings with steel plates can exhibit sufficient capacity of the lattice buckling by the formulae according to Korean Building Code (KBC, 2016) and Eurocode 3.

Community structure analysis of nitrifying biofilms by 16S rRNA targeted probe and fluorescence in situ hybridization (FISH)

  • Han, Dong-U;Kim, Dong-Jin
    • 한국생물공학회:학술대회논문집
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    • 2001.11a
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    • pp.282-285
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    • 2001
  • The microbial community structure and in situ spatial distribution of ammonia oxidizing and nitrite oxidizing bacteria in nitrifying biofilm of an upflow biological aerated filter system were investigated. The reactor had been continuously operated under high free ammonia concentration and low DO concentration for nitrite accumulation more than 2 years before the experiment. Fluorescence in situ hybridization

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Lessons from FIFE on Scaling of Surface Fluxes at Gwangneung Forest Site (광릉 산림지의 지표 플럭스 스케일링에 관한 FIFE로부터의 교훈)

  • Hong Jinkyu;Lee Dongho;Kim Joon
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.7 no.1
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    • pp.4-14
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    • 2005
  • CarboKorea and HydroKorea are the domestic projects aiming to improve our understanding of carbon and water cycles in a typical Korean forest located in a complex terrain with a watershed connected to large rivers. The ultimate goal is to provide a nowcasting of these cycles for the whole Peninsula. The basic strategy to achieve such goal is through the inter- and multi-disciplinary studies that synthesize the in-situ field observation, modeling and remote sensing technology. The challenge is the fact that natural ecosystems are nonlinear and heterogeneous with a wide range of spatio-temporal scales causing the variations of mass and energy exchanges from a leaf to landscape scales. Our paradigm now shifts from temporal variation at a point to spatial patterns and from spatial homogeneity to complexity of water and carbon at multiple scales. Yet, a large portion of our knowledge about land-atmosphere interactions has been established based on tower observations, indicating that the development of scaling logics holds the key to the success of CarboKorea and HydroKorea. Here, we review the pioneering work of FIFE (First ISLSCP Field Experiment) on scaling issues in a temperate grassland and discuss the lessons from it for the application to Gwangneung forest site.