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Implementation of an Authoring Tool for Tangible user Interface (실감형 사용자 인터페이스를 위한 XML 기반 저작도구의 구현)

  • Seo, Jin-Seok;Kim, Jun-Ho;Kwon, Duk-Joong;Kim, Hong-Joon;Oh, Sei-Woong;Kim, Joung-Hyun;Kim, Chang-Hun
    • The Journal of the Korea Contents Association
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    • v.8 no.7
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    • pp.9-16
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    • 2008
  • The design and implementation of the interaction for tangible user interfaces require in-depth knowledge in many different disciplines, such as device control, sensing and calibrating devices, interaction design, low-level programming, and performance tuning. Many trial and error iterations are needed to determine the proper combination of the interaction techniques while using available interaction devices and considering the characteristics of contents. As a result, it takes too much effort and time to achieve maximum usability. This paper introduces a tangible user-interface platform, which is fabricated using various hardware devices and an XML-based authoring tool, which is developed in order to relieve content creators of the burden of the above difficulties. Finally, we demonstrate our work by illustrating some example contents.

Tolerance Analysis on 3-D Object Modeling Errors in Model-Based Camera Tracking (모델 기반 카메라 추적에서 3차원 객체 모델링의 허용 오차 범위 분석)

  • Rhee, Eun Joo;Seo, Byung-Kuk;Park, Jong-Il
    • Journal of Broadcast Engineering
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    • v.18 no.1
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    • pp.1-9
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    • 2013
  • Accuracy of the 3-D model is essential in model-based camera tracking. However, 3-D object modeling requires dedicated and complicated procedures for precise modeling without any errors. Even if a 3-D model contains a certain level of errors, on the other hand, the tracking errors cause by the modeling errors can be different from its perceptual errors; thus, it is an important aspect that the camera tracking can be successful without precise 3-D modeling if the modeling errors are within the user's permissible range. In this paper, we analyze the tolerance of 3-D object modeling errors by comparing computational matching errors with perceptual matching errors through user evaluations, and also discuss permissible ranges of 3-D object modeling errors.

Apply AEGL for Short Time Exposure Using Regression Curve (회귀곡선을 이용한 단시간 노출에 대한 AEGL의 적용)

  • Lee, Hyunjin;Jeong, Taejun;Lee, Hyang-Jig;Jeong, Changmo;Ko, Jae-Wook
    • Journal of the Korean Institute of Gas
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    • v.21 no.5
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    • pp.77-82
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    • 2017
  • Thus, chemicals are managed under 9 related central government department and 16 relevant laws with program such as Process Safety Management and Offsite Consequence Analysis in korea. Guidelines for set the endpoint concentration for chemcals based on the ERPG-2 (Emergency Response Planning Guidelines-2) and AEGL-2 (Acute Exposure Guidelines Level-2). but ERPG and AEGL do not describe exposure for less than 10 minutes. because of this, each guidelines define criteria differently for short time less than 10 minutes exposure. This indefinite exposure criteria would give rise to a confusion in the chemical plants, and potentially lead to a critical decision making error when accidents happen. In an effort to apply guidelines with evenly-distributed initial time frame, AEGL concentrations within 10 minute exposure time were evaluated by examining statistical regression curves. The results were in good agreement with those from the Probit Function based on each AEGL grade to explain 3 different threshold levels of exposure effects. Resultant re-enforced guidelines for endpoint chemical concentrations are, therefore, to provide powerful tool to assess and manage the risk associated with any potential chemical accidents at an early stage.

Simplified Load Distribution Factor Equation for the Design of Composite Steel Girder Bridges (강합성교 설계를 위한 하중분배계수 간략식)

  • Chung, Wonseok
    • Journal of Korean Society of Steel Construction
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    • v.17 no.2 s.75
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    • pp.131-138
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    • 2005
  • The AASHTO wheel load distribution factor (LDF) equation has been with us since 1931 and has undergone minor modifications. In 1994, an entirely new procedure was introduced in the AASHTO LRFD code based on parametric studies and finite element analyses. However, this LDF equation involves a longitudinal stiffness parameter, the design of which is not initially known. Thus, an iterative procedure is required to correctly determine the LDF value. The increased level of complexity puts undue burden on the designer resulting in a higher likelihood for misinterpretation and error. In this study, based on current AASHTO LRFD framework, a new simplified equation is developed that does not require an iterative procedure. A total of 43 representative composite steel girder bridges are selected and analyzed using a finite element model.The new simplified equation produces LDF values that are always conservative when compared to those obtained from the finite element analyses and are generally greater than the LDF obtained using AASHTO LRFD specification. Therefore, the proposed simplified equation is expected to streamline the determination of LDF for bridge design without sacrificing safety.

Improvement of Atmospheric Dispersion Model Performance by Pretreatment of Dispersion Coefficients (분산계수의 전처리에 의한 대기분산모델 성능의 개선)

  • Park, Ok-Hyun;Kim, Gyung-Soo
    • Journal of Korean Society for Atmospheric Environment
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    • v.23 no.4
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    • pp.449-456
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    • 2007
  • Dispersion coefficient preprocessing schemes have been examined to improve plume dispersion model performance in complex coastal areas. The performances of various schemes for constructing the sigma correction order were evaluated through estimations of statistical measures, such as bias, gross error, R, FB, NMSE, within FAC2, MG, VG, IOA, UAPC and MRE. This was undertaken for the results of dispersion modeling, which applied each scheme. Environmental factors such as sampling time, surface roughness, plume rising, plume height and terrain rolling were considered in this study. Gaussian plume dispersion model was used to calculate 1 hr $SO_2$ concentration 4 km downwind from a power plant in Boryeung coastal area. Here, measured data for January to December of 2002 were obtained so that modelling results could be compared. To compare the performances between various schemes, integrated scores of statistical measures were obtained by giving weights for each measure and then summing each score. This was done because each statistical measure has its own function and criteria; as a result, no measure can be taken as a sole index indicative of the performance level for each modeling scheme. The best preprocessing scheme was discerned using the step-wise method. The most significant factor influencing the magnitude of real dispersion coefficients appeared to be sampling time. A second significant factor appeared to be surface roughness, with the rolling terrain being the least significant for elevated sources in a gently rolling terrain. The best sequence of correcting the sigma from P-G scheme was found to be the combination of (1) sampling time, (2) surface roughness, (3) plume rising, (4) plume height, and (5) terrain rolling.

Development of the CAP Water Quality Model and Its Application to the Geum River, Korea

  • Seo, Dong-Il;Lee, Eun-Hyoung;Reckhow, Kenneth
    • Environmental Engineering Research
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    • v.16 no.3
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    • pp.121-129
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    • 2011
  • The completely mixed flow and plug flow (CAP) water quality model was developed for streams with discontinuous flows, a condition that often occurs in low base flow streams with in-stream hydraulic structures, especially during dry seasons. To consider the distinct physical properties of each reach effectively, the CAP model stream network can include both plug flow (PF) segments and completely mixed flow (CMF) segments. Many existing water quality models are capable of simulating various constituents and their interactions in surface water bodies. More complicated models do not necessarily produce more accurate results because of problems in data availability and uncertainties. Due to the complicated and even random nature of environmental forcing functions, it is not possible to construct an ideal model for every situation. Therefore, at present, many governmental level water quality standards and decisions are still based on lumped constituents, such as the carbonaceous biochemical oxygen demand (CBOD), the total nitrogen (TN) or the total phosphorus (TP). In these cases, a model dedicated to predicting the target concentration based on available data may provide as equally accurate results as a general purpose model. The CAP model assumes that its water quality constituents are independent of each other and thus can be applied for any constituent in waters that follow first order reaction kinetics. The CAP model was applied to the Geum River in Korea and tested for CBOD, TN, and TP concentrations. A trial and error method was used for parameter calibration using the field data. The results agreed well with QUAL2EU model predictions.

A Study on the Development of a High Resolution Snow Gauge (정밀 강설량계 개발을 위한 연구)

  • Lee, Bu-Yong
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.8 no.4
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    • pp.270-274
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    • 2006
  • This study proposes a new method for automatic recording of snowfall by a mass unit which is required in weather forecast and hydrology research. In this method the weight of a buoyancy bar submerged in a liquid is measured by a strain-gauge loadcell. Field test results of the strain-gauge loadcell showed good stability as well as high accuracy. Indoor tests of the instrument using a large tank of 120 cm diameter and 25 cm height connected to a small tank measured the liquid level with a good stability, showing a measurement error of less than 0.1 mm in a 100 mm range. This method of water depth measurement is very useful in measuring snowfall because it has no limitation on the funnel size of the instrument. In addition, an antifreezing solution instead of water used in the tank makes a heating system for melting snow unnecessary.

Fan and Heater Management Schemes for Layer Filling and Mixing Drying of Rough Rice with Natural Air by Simulation (시뮬레이션에 의한 벼의 누적혼합 상온통풍건조의 송풍기 및 가열기의 운영방법에 관한 연구)

  • 금동혁;한충수;박춘우
    • Journal of Biosystems Engineering
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    • v.23 no.3
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    • pp.229-244
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    • 1998
  • This study was performed to determine proper fan and heater management schemes for natural air drying of rough rice in round steel bin with stirring device under Korean weather conditions. A computer simulation model was developed to predict moisture content changes, energy requirements, and drymatter losses during drying of rough rice by natural air. Drying test was conducted to validate the simulation model using round steel bin of holding capacity of 300ton at Rice Processing Complex in Jincheon. The bin was filled with rough rice every day and mixing by stirring device. Moisture contents, ambient air temperatures, relative humidities, static pressures in plenum chamber in the bin, airflow rates, and electrical and fuel energy were measured. Relative errors of moisture content changes predicted by the simulation model were below 5ft, and relative errors of final moisture content, final grain weight, required energy ranged from 0.9% to 6%. These not levels indicated that the simulation model can satisfactorily predict the performance factors of natural air drying system such as drying rates and energr consumptions comparing error level of 10% to 15% in other drying simulation models generally used in dryer desists. Twelve different fan and heater management schemes were evaluated using the computer simulation model based on three hourly weather data from Suweon for the period of 1952-1994. The best management schemes were selected comparing the drymatter losses, required drying times, required energy consumptions. Operating fan without heating only when ambient relative humidity was below 85% or 90% appeared to be the most effective method of In operation in favorable drying weather. Under adverse drying climates or to reduce required drying time, operating fan continuously, and heating air with $1.5^{\circ}C$ temperature rise only when ambient relative humidity was over 85% appeared to be the most suitable method.

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Enhanced Pre echo Control Algorithm for MPEG Audio Coders (MPEG 오디오 부호화기를 위한 향상된 프리 에코 컨트롤 알고리듬)

  • Lee Chang-Joon;Lee Jae-Seong;Park Young-Cheol
    • Journal of Broadcast Engineering
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    • v.11 no.2 s.31
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    • pp.191-199
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    • 2006
  • This paper presents an efficient pre echo control scheme for MPEG Audio coders based on the psychoacoustic model II (PAM-II). Pre echo control is the final step for the calculation of masking threshold in the PAM II. It is to minimize the spread of quantization error over the processing frame. In the conventional encoders, pre echo is reduced by restricting the estimated masking threshold not to exceed the one obtained in the previous frame. The conventional method performs pre echo control not only for short blocks but also for long blocks, which lowers the masking threshold in long blocks and, in turn, increases the quantization noise level of corresponding blocks. This paper proposes an efficient pre echo control process. The test result shows a mean enhancement of more than 0.4 especially for complex signals on the ITU R 5 point audio impairment scale.

A Study on the Predictability of the Air Pollution Dispersion Model Composed of the Turbulent Parameters (난류특성을 이용한 대기오염확산모델의 예측능에 관한 연구)

  • Park, Ki-Hark;Yoon, Soon-Chang
    • Journal of Environmental Impact Assessment
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    • v.10 no.2
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    • pp.123-133
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    • 2001
  • Gaussian dispersion model is the most widely used tool for the ground level air pollution simulation. Though in spite of the convenience there are important problems on the Pasquill- Gifford' stability classification scheme which was used to define the turbulent state of the atmosphere or to describe the dispersion capabilities of the atmosphere which was each covers a broad range of stability conditions, and that they were very site specific, and the vertical dispersion calculation formula on the case of the unstable atmospheric condition. This paper was carried out to revise the Gaussian dispension model for the purposed of increase the modeling performance and propose the revised model, which was composed of the turbulent characteristics in the unstable atmospheric conditions. The proposed models in this study were composed of the profile method, Monin-Obukhove length, the probability density function model and the lateral dispersion function which was composed of the turbulent parameters, $u_*$(friction velocity), $w_*$(convective velocity scale), $T_L$(lagrangian time scale) for the model specific. There were very good performance results compare with the tracer experiment result on the case of the short distance (<1415m) from the source, but increase the simulation error(%) to stand off the source in the all models. In conclusion, the revised Gaussian dispersion model using the turbulent characteristics may be a good contribution for the development of the air pollution simulation model.

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