• 보건행정학회지
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• 제14권3호
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• pp.1-19
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• 2004

The purposes of this study were to investigate factors of the Obstetrics & Gynecology healthcare consumers' selection of hospitals by lifestyle segmentation and to propose managerial suggestions in health care marketing. Out of total 400 Questionnaires, 351 were considered to be valid for final analysis. The Questionnaire consisted of 81 Questions. 11 demographic Questions, 15 factors for selecting hospitals, 55 lifestyle. The collected data were analyzed with SPSS/pc+ Version 10.0. The subjects were divided into four groups in terms of their lifestyles: 'health active group', 'health conscious group', 'health indifferent group', 'health inactive group'. The analysis of factors related to the selection of hospitals shows that there were four factors: 'accessability', 'medical trust', 'cost and convenience', 'facilities'. Conclusion: As a results of this study, 4 types of healthcare consumers' lifestyle were defined. Each life style has specific characteristics. 'Health active group' pursue 'accessability', 'medical trust', 'cost and convenience' and Health conscious group' depended on 'medical trust', 'cost and convenience'. and 'facilities'. 'Health indifferent group' didn't show any special interest in the selection of hospitals and that 'Health inactive group' relied on 'medical trust', and 'facilities'.

• Korean Journal of Geomatics
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• 제1권1호
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• pp.95-101
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• 2001

In a route plan, the route selection is a complicated problem to consider the spatial distribution and influence through overall related data and objective analysis on the social, economic and technical condition. The developed system in this study was compared and estimated by deciding a practical section for its validity and efficiency. Using Geographic Information System (GIS), the various information required for route selections in database was constructed, the characteristics of subject area by executing three-dimensional terrain analysis was grasped effectively, and the control point through buffering, overlay and location operation was extracted. An optimum route was selected by calculating the sum of alternatives to the sub-criteria weight, and from this result, there is a difference between real route and proposed route according to the prioritization of decision criteria based on the importance. This research could be constructed and applied geospatial information to the reasonable route plan and an optimum route selection efficiently using GIS. Therefore, the applications are presented by applying Analytic Hierarchy Process (AHP) to the decision-making of information needed in route selection.

• 한국조리학회지
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• 제23권4호
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• pp.66-73
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• 2017

This study was performed to verify the relationships among selection attribute, restaurant trust, experiential value, and recommendation focusing on sport center consumers. The data were collected from visitors who registered more than three months in the sport center in South Korea. Total 500 survey was distributed and 330 participants were used for further statistical analysis. SPSS 23.0 and AMOS 21.0 for Windows were used for statistical analysis. Five factors of selection attribute (menu, interior, exterior, staff, convenience) were extracted, and measured by using 15 questions. According to the results of this study, interior, exterior, and staff factors have positive effects on restaurant trust, and interior and menu were significant predictors of the experiential value. In addition, present study confirmed the theoretical relationship among trust, experiential value, and recommend intention as perceived by sport center visitors. Although there are many studies which demonstrated the relationships among selection attribute and other outcome variables, little research explained the relationships among the variables from sport center consumers. Therefore, this study will contribute to provide meaningful results and some practical implications for both academia and the related foodservice industry.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권10호
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• pp.3908-3920
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• 2015

In this paper, performance analysis of full-duplex (FD) relay selection under decode-and-forward (DF) relaying mode is carried out by taking into account several critical factors, including the distributions of the received signal-to-noise ratio (SNR) and the outage probability of wireless links. The tradeoff between the FD and half-duplex (HD) modes for relay selection techniques is also analyzed, where the former suffers from the impact of residual self-interference, but the latter requires more channel resources than the former (i.e., two orthogonal channels are required). Furthermore, the impact of optimal power allocation (OPA) on the proposed relay-selection scheme is analyzed. Particularly, the exact closed-form expressions for outage probability of the proposed scheme over Rayleigh fading channels are derived, followed by validating the proposed analysis using simulation. Numerical results show that the proposed FD based scheme outperforms the HD based scheme by more than 4 dB in terms of coding gain, provided that the residual self-interference level in the FD mode can be substantially suppressed to the level that is below the noise power.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권3호
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• pp.1140-1155
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• 2021

Up to now, many state-of-arts have been proposed for two-way relaying system with linear modulations. The performances of antenna selection (AS) at both transmit and relay nodes need to be investigated in some two-way relaying multiple-input multiple-output (TWRM) systems. In this paper, the goal is focused on the study of nonlinear modulations, i.e., continuous phase modulation (CPM) in TWRM systems. Firstly, the joint phase trellis are simplified by reversed Rimoldi processing so as to reduce the systems' complexity. Then the performances of joint transmit and receive antenna selection (JTRAS) with CPM modulations in two-way relaying MIMO systems are analyzed. More exactly, the pair wise probability (PEP) is used to evaluate the error performance based on the CPM signal matrix, which is calculated in terms of Laurent expression. Since the channels subject to two terminal nodes share common antennas at relay node R in multiple-access scheme, we revise the JTRAS algorithm and compare it to existing algorithm via simulation. Finally, the error performances for various schemes of antenna selection are simulated and compared to the analysis in this paper.

• The Journal of Asian Finance, Economics and Business
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• 제8권3호
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• pp.527-538
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• 2021

The purpose of the study is to determine the efficiency, position, and partner selection of securities companies via the negative super-SBM model used in data envelopment analysis (DEA). This model utilizes a variety of inputs, including current assets, non-current assets, fixed assets, liabilities, owner's equity and charter capital, and outputs including net revenue, gross profit, operating profit, and net profit after tax collected from the financial reports (Vietstock, 2020) of 32 securities companies, operating during the period from 2016 to 2019, negative data are collected as well. Empirical results determined both efficient and inefficient terms, and then further determined the position of each securities firm under consideration of every term. The overall score arrived at discovered a large performance change realizing a maximum score able to reach 20.791. In the next stage, alliancing inefficient companies was carried out based on the 2019 scores to seek out optimal partners for the inefficient companies. The tested result indicated that AAS was the best partner selection when its partners received a good result after alliancing, as with FTS (11.04469). The partner selection is deemed as a solution helpful to inefficient securities companies in order to improve their future efficiency scores.

• Genomics & Informatics
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• 제21권3호
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• pp.28.1-28.13
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• 2023

Mild cognitive impairment (MCI) is a clinical syndrome characterized by the onset and evolution of cognitive impairments, often considered a transitional stage to Alzheimer's disease (AD). The genetic traits of MCI patients who experience a rapid progression to AD can enhance early diagnosis capabilities and facilitate drug discovery for AD. While a genome-wide association study (GWAS) is a standard tool for identifying single nucleotide polymorphisms (SNPs) related to a disease, it fails to detect SNPs with small effect sizes due to stringent control for multiple testing. Additionally, the method does not consider the group structures of SNPs, such as genes or linkage disequilibrium blocks, which can provide valuable insights into the genetic architecture. To address the limitations, we propose a Bayesian bi-level variable selection method that detects SNPs associated with time of conversion from MCI to AD. Our approach integrates group inclusion indicators into an accelerated failure time model to identify important SNP groups. Additionally, we employ data augmentation techniques to impute censored time values using a predictive posterior. We adapt Dirichlet-Laplace shrinkage priors to incorporate the group structure for SNP-level variable selection. In the simulation study, our method outperformed other competing methods regarding variable selection. The analysis of Alzheimer's Disease Neuroimaging Initiative (ADNI) data revealed several genes directly or indirectly related to AD, whereas a classical GWAS did not identify any significant SNPs.

• Asian Journal of Innovation and Policy
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• 제12권2호
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• pp.261-267
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• 2023

In the paper of 'Natural Selection Favors AIs over Humans,' Dan Hendrycks applies principles of Darwinian evolution to forecast potential trajectories of AI development. He proposes that competitive pressures within corporate and military realms could lead to AI replacing human roles and exhibiting self-interested behaviors. However, such claims carry the risk of oversimplifying the complex issues of competition and natural selection without clear criteria for judging whether AI is selfish or altruistic, necessitating a more in-depth analysis and critique. Other studies, such as ''The Threat of AI and Our Response: The AI Charter of Ethics in South Korea,' offer diverse opinions on the natural selection of artificial intelligence, examining major threats that may arise from AI, including AI's value judgment and malicious use, and emphasizing the need for immediate discussions on social solutions. Such contemplation is not merely a technical issue but also significant from an ethical standpoint, requiring thoughtful consideration of how the development of AI harmonizes with human welfare and values. It is also essential to emphasize the importance of cooperation between artificial intelligence and humans. Hendrycks's work, while speculative, is supported by historical observations of inevitable evolution given the right conditions, and it prompts deep contemplation of these issues, setting the stage for future research focused on AI safety, regulation, and ethical considerations.

• 산업융합연구
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• 제20권2호
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• pp.1-9
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• 2022

국가연구개발사업 연구개발과제 선정에 대한 투명성과 공정성에 대한 개선 필요성이 지속적으로 제기됨에 따라, 국토교통기술사업화지원 사업을 대상으로 선정평가 지표별 평가 결과에 미치는 영향력을 분석하고 분석결과를 활용한 지표 개선 방안을 모색하였다. 연구자료는 2021년도 국토교통기술사업화지원 사업 중소기업 혁신, 스타트업 2개 분야의 신규 연구개발과제의 선정평가 결과 자료와 평가지표를 적용하였으며, 로지스틱 회귀분석을 이용하여 평가지표별 영향력을 분석하였다. 회귀모형은 분석결과의 신뢰성 제고를 위해 인공신경망 다중 퍼셉트론 분석을 수행하여 영향력이 낮은 평가지표를 사전에 제거하였다. 분석결과, 중소기업 혁신 분야는 인력운영계획에 대한 평가지표의 영향력이 가장 낮고 사업화 추진계획의 적절성 지표의 영향력이 가장 높게 나타났다. 스타트업 분야는 기술개발 적합성, 시장성, 사업수행 적합성 평가지표의 영향력이 상호 유사하게 추정되었으며, 기술성 평가지표의 영향력이 가장 낮게 나타났다. 본 논문의 분석결과는 지속적인 선정평가 지표의 개선 필요성을 시사하며, 분석결과를 활용한 타당한 평가지표 선정 및 공정한 연구개발기관 선정을 통해 국토교통 분야 우수 연구성과 도출 및 우수 기업 육성에 기여할 수 있을 것으로 사료된다.

• 한국조리학회지
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• 제19권2호
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• pp.52-64
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• 2013

본 연구의 목적은 (1) 선택결정요인에 따른 가정식사대용식(HMR) 소비자를 세분화 하고, (2) 각 세분시장의 독특한 인구통계적인 특성과 구매행태를 조사하는 것이다. 이를 위해 총 266개의 응답을 SPSS 19.0을 이용해 분석하였다. 통계분석은 빈도분석, 교차분석, 요인분석, 군집분석, 다변량 분산분석, 판별분석이 사용되었다. 요인분석 결과 음식의 질(food quality), 디자인(design), 편리성(convenience), 접근성(accessibility) 과 같이 4개의 요인이 도출되었다. 도출된 요인을 이용해 군집분석을 실시한 결과 2개의 세분시장이 파악되었으며, 각각 고관여 HMR 소비자와 저관여 HMR 소비자로 명명되었다. 고관여 HMR 소비자는 모든 선택결정요인에 걸쳐 저관여 HMR 소비자에 비해 더 중요하게 지각하고 있는 것으로 나타났다. 또한 두 집단은 인구통계적 특성과 구매행태에 있어 차이가 있는 것으로 나타났다. 위와 같은 통계분석 결과에 따른 시사점이 결론부에 제시되었다.