• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.15 no.7
• /
• pp.1598-1603
• /
• 2011

This paper describes an enhancement method for a computational pickup model. The conventional computational pickup model utilizes the ray-trace model and the pinhole model. The conventional model is very useful, however, it suffers from quality degradation of reconstructed images at long distances. To overcome the problem, we propose an accurate pickup model. The proposed model includes integration of the rays incoming to a sensor that generates a pixel, resulting in robustness on the Aliasing artifact. To show the effectiveness of the proposed method, experimental results are carried out. The results indicated that the proposed method is superior to the conventional method.

• Journal of the Korea Computer Industry Society
• /
• v.2 no.11
• /
• pp.1373-1382
• /
• 2001

Traditionally, Mobile Teletraffic model consists of two sub-models, i.e. the network traffic model and the traffic source model. In this paper, we present the traffic source model by developing MobCall(Mobile Call Simulator) which analyses various mobile wireless environments based on regional characteristics that the base stations are located. User mobility is presented by regional average vehicle speeds and the transportation share rate. Moreover, the user mobility on subway, which is increasing in urban area, is considered in MobCall. Using MobCall, the accumulated number of calls in residential and commercial regions, the handoff rate with respect to traffic sources of Seoul, the handoff rate on highway, and the handoff rate according to the call duration are presented. MobCall enables the simulation of dynamic handoff buffering and functional entity control of one base station according to the changes in user's calling pattern at the design phase.

• The Transactions of the Korea Information Processing Society
• /
• v.6 no.1
• /
• pp.90-95
• /
• 1999

A software growth model, a mathematical model describing the growth behavior of a software system during the evolution process, enables us to predict the future system size and incremental erfort required to meet the planned system size. This paper first introduces a software growth model defined with respect to the cumulative incremental effort. It was assumed that the incremental growth of a software system is proportional to the incremental effort and function of the system size is suggested as a system complexity and then applied to real data for its validation. such a system complexity additionally provides us with a measure for complexity comparison. since the measure is independent of the system size, it is useful for comparing complexities of software systems of different size.

• Journal of the Korean earth science society
• /
• v.40 no.2
• /
• pp.119-134
• /
• 2019

In order to analyze the observational environment of solar radiation stations operated by the Korea Meteorological Administration (KMA), we used the digital elevation model (DEM) and the solar radiation model to calculate a topographical shading, sky view factor (SVF) and solar radiation by surrounding terrain. The sky line and SVF were calculated using high resolution DEM around 25 km of the solar stations. We analyzed the topographic effect by analyzing overlapped solar map with sky line. Particularly, Incheon station has low SVF whereas Cheongsong and Chupungryong station have high SVF. In order to validation the contribution of topographic effect, the solar radiation calculated using GWNU solar radiation model according to the sky line and SVF under the same meteorological conditions. As a result, direct, diffuse and global solar radiation were decreased by 12.0, 5.6, and 4.7% compared to plane surface on Cheongsong station. The 6 stations were decreased amount of mean daily solar radiation to the annual solar radiation. Among 42 stations, eight stations were analyzed as the urgent transfer stations or moving equipment quickly and more than half of stations (24) were required to review the observational environment. Since the DEM data do not include artifacts and vegetation around the station, the stations need a detail survey of observational environment.

• The Journal of the Convergence on Culture Technology
• /
• v.7 no.4
• /
• pp.779-783
• /
• 2021

The amount of sunlight (irradiation) acts as a very important factor for paprika (Capsicum annuum L.) productivity, but there are difficulties in developing a standard model for estimating paprika productivity using irradiation factors. This study was conducted to investigate how to increase the suitability of using irradiation as an independent variable when developing a standard model. In the linear regression analysis using the independent variable (cumulative irradiation) and the dependent variable (cumulative productivity) were classified as the average value of the total farm productivity (MTFP), and above and below (MHFP, MLFP) based on the average value, respectively. The RMSE value of the estimated linear regression model was 0.9418 kg·m^-2 in the MHFP, which was significantly lower than 1.5468 kg·m^-2 in the MTFP and 1.3812 kg·m^-2 in the MLFP. And in due course of time (month), RMSE value was also the lowest in MHFP, below 1.0 kg·m^-2 in all months. Therefore, when developing a regression model for estimating paprika productivity using irradiation, it is judged that it will improve the suitability of the estimation model by classifying and analyzing the difference in productivity of farms with an appropriate method.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.9 no.5
• /
• pp.205-211
• /
• 2009

The Weightless Neural Network(WNN) has the advantage of the processing speed, less computability than weighted neural network which readjusts the weight. Especially, The behavior information such as sequential gesture has many serial correlation. So, It is required the high computability and processing time to recognize. To solve these problem, Many algorithms used that added preprocessing and hardware interface device to reduce the computability and speed. In this paper, we proposed the Ram based Sequential Cumulative Neural Network(SCNN) model which is sign language recognition system without preprocessing and hardware interface. We experimented with using compound words in continuous korean sign language which was input binary image with edge detection from camera. The recognition system of sign language without preprocessing got 93% recognition rate.

• Nuclear Engineering and Technology
• /
• v.23 no.3
• /
• pp.299-305
• /
• 1991

Corrosive environment may be generated within steam generators from condenser cooling water in-leakage. Theoretical analysis of the accumulation of chloride as a sea water impurity is being carried out for the condenser cooling water used at YGN-1,2 nuclear power stations. Calculations have shown that highly concentrated chloride solution would be produced within the steam generators in the case of sea water in-leakage. Maximum allowable design condenser leak rate(0.5 gpm) leads chloride concentration of 2.3 ppm at steam generetor and 0.6 ppm at hotwell with the maximum blowdown rate and condensate purification. Concentration factor at steam generator is dependent only on both blowdoum rate and condensate purification efficiency as follows, Concentration Factor（equation omitted）(B$\neq$O) Blowdown and condensate purification are evaluated as the only effective measures to remove impurities from the secondary systems.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2022.05a
• /
• pp.4-4
• /
• 2022

낙동강 하구 환경/생태 복원을 위하여 "해수유입"으로 하구환경을 조성하는 사업이 추진되고 있으며, 해수 유입 규모와 빈도에 따른 생태환경변화를 예측하는 연구수요가 증가하고 있는 상황이다. 보다 구체적으로는 단기간의 해수유입에 의한 흐름 및 염분 확산범위 예측과 더불어 보다 장기간의 지형변화, 수질환경 변화, 생태환경 변화 등에 대한 예측이 필요한 상황이다. 그리고 그 예측의 대부분을 수치모델에 크게 의존하고 있는 상황이다. 그러나, 수치모형을 이용한 단기 예측은 가까운 미래에 대한 입력조건을 사용하여야 하기 때문에 입력조건에 대한 불확실성이 포함되고, 환경생태모형의 불확실성에 따른 예측 한계 등으로 인하여 오차가 누적되기 때문에 직접적인 활용에 크게 제한이 따를 수 있다. 또한 운영과정에서 어떤 분산, 편향 오차 등이 지속적으로 발생하는 경우, 모델 예측 결과에 대한 신뢰수준이 크게 감소하기 때문에 모델의 적절한 운영기법이 요구된다. 모델은 관심을 가지는 자연현상에 대한 근사(approximation)이고, 예상하지 못한 오차가 발생할 수 있기 때문에 관측 자료를 이용한 자료동화(data assimilation) 과정이 운영모델에서는 필수적인 부분이다. 이론적인 기반이 탄탄한 유체역학 기반 기상예측의 경우에도, 가용한 모든 지점의 관측 자료를 이용한 자료 동화과정을 통하여 모델 예측 결과를 개선하여 나가는 과정을 포함하여 운영하고 있다. 이 과정이 포함하는 중요한 개념은 수치모델이 가지고 있는 (예측 수준의) 한계를 인정하고, 수치모델에 전적으로 의존하는 것이 아니라 관측 자료를 이용하여 그 한계를 저감하여 나가는 과정이다. 모니터링은 모델의 한계를 알려주는 지표이다. 모델링과 모니터링의 불가피한 상호의존 관계를 의미하는 이 개념은 단기간의 흐름, 염분 확산 예측으로 한정되지 않고, 장기적인 변화가 예상되는 생태환경변화 모델에도 적용이 된다. 즉각적인 변화보다는 장기적인 관점에서 파악하여야 하는 생태학적인 변화는 보다 다양한 인자가 관여하기 때문에 어떤 측면에서는 모델보다는 적절한 빈도와 항목에 대한 관측계획 수립(monitoring design)이 더 중요하다고 할 수 있다. 이론적인 질량보존(mass conservation) 방정식을 기반으로 하는 모델은 다양한 현실적인 인자의 영향을 받기 때문에 모델의 한계를 인정하고, 모니터링 자료를 적극적으로 활용하여 불확실성을 저감하는 접근방식이 요구된다.

• The KIPS Transactions:PartD
• /
• v.15D no.3
• /
• pp.313-320
• /
• 2008

A typical software development life cycle consists of a series of phases, each of which has some ability to insert and detect defects. To achieve desired quality, we should progress the defect removal with the all phases of the software development. The well-known model of phase-based defect profile is Gaffney model. This model assumes that the defect removal profile follows Rayleigh curve and uses the parameters as the phase index number. However, these is a problem that the location parameter cannot present the peak point of removed defects when you apply Gaffney model to the actual situation. Therefore, Gaffney model failed to represent the actual defect profile. This paper suggests two different models: One is modified Gaffney model that introduce the parameter of Putnam's SLIM model to replace of the location parameter, the other is the growth function model because the cumulative defect profile shows S-shaped. Suggested model is analyzed and verified by the defect profile sets that are obtained from 5 different software projects. We could see from the experiment, the suggested model performed better result than Gaffney model.

• Proceedings of the Korea Concrete Institute Conference
• /
• 2009.05a
• /
• pp.185-186
• /
• 2009

In the present study, the deformation capacity of slender shear walls with thin web was studied. As reported by other researchers, web-crushing and rebar-fracture, developing by inelastic deformation after flexural yielding, were considered as the governing failure modes of walls. To address the effect of the longitudinal elongation on web-crushing and rebar-fracture, the longitudinal elongation was predicted by using truss model analysis. The failure criteria by web-crushing and rebar-fracture were defined as a function of the longitudinal elongation. The proposed method was applied to 17 shear wall specimens with boundary columns, and the prediction results were compared with the test results. The results showed that proposed method predicted the maximum deformations and failure modes of the wall specimens with reasonable precision.