• 한국정보과학회논문지:시스템및이론
• /
• 제31권1_2호
• /
• pp.67-77
• /
• 2004

고성능 슈퍼스칼라 프로세서에서 값 예측(value prediction) 방식은 명령의 결과 값을 미리 예측하고, 이 후 데이타 종속 관계가 있는 명령들에게 값을 조기에 공급함으로써 이들 명령들을 모험적으로 실행하여 성능을 향상시키는 방식이다. 값 예측으로 성능을 향상시키기 위해서는 예측 실패 시에 효율적으로 복구하는 과정이 필수적이다. 본 논문에서는 값 예측 실패 시에 잘못 예측된 값을 사용하여 모험적으로 수행된 명령들만을 순차적으로 취소하고 복구한 후에 재이슈하는 값 예측 실패 복구 메커니즘(value misprediction recovery mechanism)을 제안한다. 제안된 복구 방식은 한번에 모든 종속명령들을 검색하지 않음으로써 파이프라인을 정지시키지 않는다. 즉, 파이프라인이 진행되는 순서에 따라 순차적으로 값 예측이 틀린 종속명령만을 선택적으로 취소하고 재이슈하여 불필요한 취소와 재이슈를 줄임으로써 값 예측 실패 시에 손실을 줄인다.

• 디지털산업정보학회논문지
• /
• 제11권2호
• /
• pp.141-152
• /
• 2015

Our agriculture and rural villages have faced negative conditions in many reasons. To overcome this situation, a new change is needed by the 6th industrialization. Many agriculture and rural villages in Korea are pursuing the 6th industrialization through the convergence of the primary, secondary, and tertiary industries to vitalize agriculture and rural villages. But there are several problems with the 6th industrialization. There is a limit to the capacity building of the members of the rural organization and Korean agricultural base primary, secondary, and tertiary industries are weak all. In addition, it has been insufficient research for value chain management of the region as a whole; there has been no study of information sharing across the region for the 6th industrialization. This study is about value chain management model for successful the 6th industry with Quick Response System and the big data technology. In this study to provide the efficiency of 6th industry value chain management with customer's needs analysis using big data and research for the information share between the industries in the region through the information pipeline theory of the QR System. We hope that our study is helped to proceed successfully on the 6th industrialization in Korea.

• 한국해양공학회지
• /
• 제33권3호
• /
• pp.222-228
• /
• 2019

An extreme value analysis (EVA) is essential to obtain a design value for highly nonlinear variables such as long-term environmental data for wind and waves, and slamming or sloshing impact pressures. According to the extreme value theory (EVT), the extreme value distribution is derived by multiplying the initial cumulative distribution functions for independent and identically distributed (IID) random variables. However, in the position mooring of DNVGL, the sampled global maxima of the mooring line tension are assumed to be IID stochastic variables without checking their independence. The ITTC Recommended Procedures and Guidelines for Sloshing Model Tests never deal with the independence of the sampling data. Hence, a design value estimated without the IID check would be under- or over-estimated because of considering observations far away from a Weibull or generalized Pareto distribution (GPD) as outliers. In this study, the IID sampling data are first checked in an EVA. With no IID random variables, an automatic resampling scheme is recommended using the block maxima approach for a generalized extreme value (GEV) distribution and peaks-over-threshold (POT) approach for a GPD. A partial autocorrelation function (PACF) is used to check the IID variables. In this study, only one 5 h sample of sloshing test results was used for a feasibility study of the resampling IID variables approach. Based on this study, the resampling IID variables may reduce the number of outliers, and the statistically more appropriate design value could be achieved with independent samples.

• 한국유기농업학회지
• /
• 제29권3호
• /
• pp.317-332
• /
• 2021

This study estimated the predictive onion yield through Stepwise regression of big data and weather variables by onion growing season. The economic feasibility of onion observations using big data was analyzed using estimated predictive data. The social welfare effect was estimated through the model of Harberger's triangle using onion yield prediction with big data and it without big data. Predicted yield using big data showed a deviation of -9.0% to 4.2%. As a result of estimating the social welfare effect, the average annual value was 23.3 billion won. The average annual value of social welfare effects if big data was not used was measured at 22.4 billion won. Therefore, it was estimated that the difference between the social welfare effect when the prediction using big data was used and when it was not was about 950 million won. When these results are applied to items other than onion items, the effect will be greater. It is judged that it can be used as basic data to prove the justification of the agricultural observation project. However, since the simple Harberger's triangle theory has the limitation of oversimplifying reality, it is necessary to evaluate the economic value through various methods such as measuring the effect of agricultural observation under a more realistic rational expectation hypothesis in future studies.

• 의료ㆍ복지 건축 : 한국의료복지건축학회 논문집
• /
• 제30권3호
• /
• pp.7-16
• /
• 2024

Purpose: Medical center has consumed the energy about twice the average value of building types. So, many countries have tried sustainability and energy reduction for building types through eco friendly certificate. This study investigate the eco friendly building certificate and energy performance certificate focusing in UK and Korea, and search the characteristics of status and services of certificates. Methods: BREEAM openbook and EPC open data have been studied in UK, and green building performance certificate and EPC data in korea have been analyzed. Results: UK has eco friendly building certificate focusing on healthcare, and EPC shows the standard, benchmark reference value, so lead to the CO₂ emission reduction. Primary health center and hospital show the higher value due to the dwelling unit. like a patient bed. Korea doesn't have green building certificate yet on healthcare, and EPC shows not the reference data, but the primary energy consumption. Korean cases just like in UK, clinic, public health, and outpatient center show the lower value compared to medical center, nursing home and general hospital. Implications: In Korea, it is needed for energy efficiency to have reference data information like a standard and benchmarking value for new design and construction.

• KIEAE Journal
• /
• 제11권6호
• /
• pp.101-108
• /
• 2011

The weather data has important role for performative building design. If the data location is close to building site, the result of performative design can be accurate. The data which have used nowadays in Korea are from U.S. Department of Energy (DOE) and Korea Solar Energy Society (KSES) but they cover only several locations in Korea which are 4 in DOE and 11 in KSES and there are opinions which it could be served building design efficiently even if the data are not enough. However the weather data for micro-climate are exist which are Green Building Studio Virtual Weather Station (GBS VWS) and Meteonorm weather data. Each weather data has different generation methods which are TMY2, TRY, MM5, and extrapolation. In this research, the weather date for climate are compared with DOE and KSES to check correlation. The result shows the value of correlation in Dry Bulb Temp. and Dew Point Temp. is around 0.9 so they have high correlation in both but in Wind Speed case the correlation(around 0.2) is not exist. In overall result, the data has correlation with DOE and KSES as the value of correlation 0.648 of GBS VW and 0.656 of Meteonorm. Even if the correlation value is not high enough, the patterns of difference in each weather element are similar in scatter plot.

• 디지털융복합연구
• /
• 제13권1호
• /
• pp.283-288
• /
• 2015

일회용 패스워드는 정적인 패스워드 사용에 따른 위험을 해결하고 사용자 인증을 강화하기 위해 필요하다. 개인정보 유출에 따른 사용자를 인증을 강화하기 위해 OTP 생성 알고리즘이 중요시 되고 있다. 본 논문에서 제안하는 OTP 생성 알고리즘은 Seed값과 Time값을 이용하여 256비트 크기의 OTP Data를 생성하게 된다. 생성한 OTP Data를 행렬로 나열하고 불규칙적으로 32비트의 값을 추출하게 되는 이 값이 최종적인 OTP값이 된다. OTP 생성 횟수가 많을수록 제안하는 알고리즘이 기존 알고리즘에 비해 충돌내성의 확률이 낮음을 알 수 있다.

• 유통과학연구
• /
• 제21권4호
• /
• pp.113-119
• /
• 2023

Purpose: This study aims to investigate the effect of retailer's ESG performance on consumption value. The research analyzed the effect of consumption value that can be obtained through ESG management of retail companies on consumer attitude and repurchase intention. Research design, data, and methodology: A research model and hypothesis were established, and statistical analysis was performed on a total of 278 samples of all age groups. To secure the reliability and validity of the data, confirmatory factor analysis and discriminant validity analysis were performed, and the causal relationship of latent variables was verified through path analysis. Results: As a result of the analysis, it was found that among the characteristics of consumption value according to ESG management, social value, economic value, accessible value, and eco-friendly value had an effect on social contribution attitude. Also, the economic value was found to have an effect on the self-actualization attitude, and both the social contribution attitude and the self-actualization attitude have an effect on the purchase intention. Conclusions: This study empirically analyzed the value of ESG management in the retail industry that consumers are paying attention to recently. This will serve as a basis for revising and supplementing the retail companies' strategy in the near future.

• 유통과학연구
• /
• 제22권6호
• /
• pp.45-56
• /
• 2024

Purpose: This study utilizes value chain analysis to investigate the distribution of benefits in the snubnose pompano product value chain, aiming to ascertain how these benefits are obtained by the farmers. Research design, data and methodology: The study approaches the assessment components from the economic analysis framework of the value chain. It investigates the various actors involved in the value chain of snubnose pompano fishery products in the South-Central Coast region of Vietnam from 2020 to 2022. Data collection is conducted through direct interviews with the actors utilizing survey questionnaires. Results: The results indicate that farmers, traders, and processors are key actors in the chain. The distribution of benefits between farmers and other actors has improved and tended towards greater harmony over the years. However, farmers receive benefits that are not commensurate with their value-added contribution. Farmers contribute the greatest value-added, but their profit margin share is not commensurate with the ratio of their value-added contribution to the chain. Farmers suffer the highest degrees of losses caused by price fluctuation and production risks, while other actors face smaller risks. Conclusions: The study offers some recommendations to adjust the distribution of benefits and risks among participants in this value chain.

• 응용통계연구
• /
• 제25권1호
• /
• pp.225-237
• /
• 2012

This study proposes a quantification algorithm for a PLS method with several sets of variables. We called the quantification method for PLS with more than 2 sets of data a generalization. The basis of the quantification for PLS method is singular value decomposition. To derive the form of singular value decomposition in the data with more than 2 sets more easily, we used the constraint, $a^ta+b^tb+c^tc=3$ not $a^ta=1$, $b^tb=1$, and $c^tc=1$, for instance, in the case of 3 data sets. However, to prove that there is no difference, we showed it by the use of 2 data sets case because it is very complicate to prove with 3 data sets. The keys of the study are how to form the singular value decomposition and how to get the coordinates for the plots of variables and observations.