• Communications for Statistical Applications and Methods
• /
• 제27권5호
• /
• pp.535-546
• /
• 2020

In genetic association studies, pleiotropy is a phenomenon where a variant or a genetic region affects multiple traits or diseases. There have been many studies identifying cross-phenotype genetic associations. But, most of statistical approaches for detection of pleiotropy are based on individual tests where a single variant association with multiple traits is tested one at a time. These approaches fail to account for relations among correlated variants. Recently, multivariate regularization methods have been proposed to detect pleiotropy in analysis of high-dimensional genomic data. However, they suffer a problem of tuning parameter selection, which often results in either too many false positives or too small true positives. In this article, we applied selection probability to multivariate regularization methods in order to identify pleiotropic variants associated with multiple phenotypes. Selection probability was applied to individual elastic-net, unified elastic-net and multi-response elastic-net regularization methods. In simulation studies, selection performance of three multivariate regularization methods was evaluated when the total number of phenotypes, the number of phenotypes associated with a variant, and correlations among phenotypes are different. We also applied the regularization methods to a wild bean dataset consisting of 169,028 variants and 17 phenotypes.

• 동아시아식생활학회지
• /
• 제21권3호
• /
• pp.418-428
• /
• 2011

The survey for this study was conducted in Vietnam, and was based on previous studies concerning Korean restaurant selection criteria and menu selection criteria that were done within Korea. The survey was conducted particularly, among Vietnamese who had eaten Korean food at a local Korean restaurant, in order to gain some perspective on the marketing of Korean restaurants in Vietnam. The results of the survey showed the following: (1) Vietnamese are very interested in Korean food; (2) they prefer unique recipes, and health food; (3) the main factors that affected selection of Korean restaurants were atmosphere, food features, sanitation, menu, and familiarity; (4) the main factors for a selecting dish from a Korean restaurant menu were social factors, menu, variety, recognition, uniqueness, and reasonable price. This study can contribute to the advancement of Korean restaurants in the Vietnamese market, which has been showing great interest in Korean culture and food.

• 보건의료산업학회지
• /
• 제13권2호
• /
• pp.39-54
• /
• 2019

Objectives: This study was performed to investigate selection factors for specialized hospital and to find out the impact of hospital selection factors on satisfaction, revisiting invention and recommendations. Methods: A survey was performed with 398 inpatients of 4 specialized joint hospital in Busan. Data were collected from August to October 2016 with questionnaires and analyzed using SPSS 24.0. Results: First, inpatients know that it was a specialized hospital were highly satisfied and willing to revisit and recommend. Second, in hospital satisfaction, influence size was shown in order of specialty factors, service quality factors, physical factors, and accessibility factors. Third, the intention to revisit hospitals was higher in the awareness of a specialized hospital and high satisfied inpatients, and recommendation intend were affected by the higher revisitation intention, the high satisfaction level, and the high professionality level. Conclusions: All the hospital selection 4 factors for joint specialized hospitals affects satisfaction level which is linked to revisit and recommend. Specialized Hospitals will have to strengthen qualitative management of hospital selection factors to enhance patient satisfaction.

• 한국정보통신학회:학술대회논문집
• /
• 한국정보통신학회 2022년도 추계학술대회
• /
• pp.15-17
• /
• 2022

볼 베어링 선택조립 시스템에서 잉여부품을 최소화하기 위해서는 각 부품의 치수 분포를 파악하여 선택 확률을 최적화하여야 하지만, 복잡한 시스템은 생산 공정에 지연이 일으킨다. 본 논문에서는 볼 베어링 선택조립 시스템에서 빠르고 간단하게 선택 우선순위를 결정할 수 있는 군집 우선 선택 알고리즘을 제안한다. 그리고 실제 볼 베어링 선택조립 공정에서 수집한 데이터로 모의 상황을 가정하고, 군집 우선 선택 알고리즘과 기존 알고리즘을 시뮬레이션하여 잉여부품 발생률과 연산소요시간을 평가한다. 시뮬레이션 결과, 군집 우선 선택 알고리즘이 기존 알고리즘에 비하여 83.8% 적은 잉여부품을 발생하였고, 연산소요시간도 39.7% 단축되었다.

• 한국지능시스템학회:학술대회논문집
• /
• 한국지능시스템학회 2007년도 추계학술대회 학술발표 논문집
• /
• pp.283-286
• /
• 2007

This paper proposes a genetic algorithm (GA) approach to instance selection in case-based reasoning (CBR) for the prediction of Korea Stock Price Index (KOSPI). CBR has been widely used in various areas because of its convenience and strength in complex problem solving. Nonetheless, compared to other machine learning techniques, CBR has been criticized because of its low prediction accuracy. Generally, in order to obtain successful results from CBR, effective retrieval of useful prior cases for the given problem is essential. However, designing a good matching and retrieval mechanism for CBR systems is still a controversial research issue. In this paper, the GA optimizes simultaneously feature weights and a selection task for relevant instances for achieving good matching and retrieval in a CBR system. This study applies the proposed model to stock market analysis. Experimental results show that the GA approach is a promising method for instance selection in CBR.

• 한국자동차공학회논문집
• /
• 제14권4호
• /
• pp.107-114
• /
• 2006

Material selection is one of the important activities in design and manufacturing. A selected material at the conceptual design stage affects functionality of the designed part as well as manufacturability and cost of the final product. Unfortunately there are not many accessible material databases that can be used for design. In this research, a web-based material database was constructed. In order to assist designers to compare different materials, two-dimensional and three-dimensional graphs were provided via the web browser Using these graphical tools, multi-dimensional comparison was available in more intuitive manner. As a case study, this system was applied for material selection of an automotive engine pulley.

• 수산경영론집
• /
• 제38권1호
• /
• pp.19-45
• /
• 2007

There have not been many studies which considered both quantitative and qualitative location factors on the issues of site selection problems for a fish farm. This study develops AHP(analytic hierarchy process) model to resolve site selection problem for a fish raising farm by using quantitative and qualitative factors. In order to evaluate the validity of the location factors found in the literature review, the study used advice from fish raising farmers and related academic experts. Four major factors have been selected as economic factors, social factors, natural environmental factors and infrastructures. An AHP structural diagram has developed by considering the factors and potential sites proposed for fish farming. Through the survey on the preference of factors and potential sites, pairwise comparison matrices have been estimated and used to calculated the relative weights of each potential site. The AHP model process shown in the study can be applied to resolve site selection problems for fish raising farmers.

• International Journal of Industrial Entomology and Biomaterials
• /
• 제14권1호
• /
• pp.1-7
• /
• 2007

In order to find out the appropriate parents for the breeding programme, twelve bivoltine and three multivoltine silkworm breeds were evaluated on the basis of multivariate selection index and isozyme analysis. Of which, four [CSR2, D6 (P), SK3, SK4] bivoltine and two multivoltine (Nistari, Cambodge) breeds were selected and breeding initiated to develop higher survival bivoltine silkworm breed suitable for tropical conditions. Among two isozyme (Esterase and acid phosphatase) analyzed, only esterase exhibited polymorphism among the bivoltine breeds. No polymorphism was observed among multivoltine in respect of esterase as well as acid phosphatase.

• 한국멀티미디어학회논문지
• /
• 제9권12호
• /
• pp.1560-1571
• /
• 2006

In order to transmit multimedia streams over the network with a timely changing channel bandwidth such as Internet, scalable video coding schemes have been studied to represent video in flexible bitstream. Much research has been made on how to represent encoded media(such as video) bitstream in scalable ways. In this paper, rte propose an optimal selection of the objects for MPEG-4 bitstream adaptation to meet a given constraint. We adopt a multiple choice knapsack problem with multi-step selection for the MPEG-4 objects with different bit-rate scaling levels in the MPEG-4 bitstream. The bitstream adaptation based on the optimal selection result is then to fetch the necessary parts of the MPEG-4 bitstream to constitute an adapted version of the original MPEG-4 binary resource. The experiment results show that the optimal selection of MPEG-4 objects for a given constraint can promisingly be made which meets the given constraint.

• Journal of information and communication convergence engineering
• /
• 제9권2호
• /
• pp.193-196
• /
• 2011

Transmit antenna selection techniques are prominent since they exploit the spatial selectivity at the transmitter side. In the literature, antenna selection techniques assume full knowledge of the channel state information (CSI). In this paper, we consider that the CSI is not perfectly known at the transmitter; however, a quantized version of the channel coefficients is fed back by the users. We employ the non-uniform Lloyd-Max quantization algorithm which takes into consideration the distribution of the channel coefficients. Simulation results show that the degradation in the BER of the system with imperfect CSI at the transmitter is tolerable, especially when the transmit diversity order is high.