• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2023년도 춘계학술대회
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• pp.256-257
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• 2023

This paper aims to propose optimal method to assess and cumulate the daily profit for liner shipping to support the shipping lines in making optimal decision with the highest average daily profit. This paper not only explains the actual calculated results align with decision-makers' behavior from concepts indicated in cumulative prospect theory but also contributes to an easy-to-apply method for liner shipping network predictability in and provides optimal decision-making is helpful for shipping managers for the best effective selection of the most appropriate alternative under uncertainties.

• 지역사회간호학회지
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• 제18권4호
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• pp.624-633
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• 2007

Purpose: The purpose of this study was to develop and test a structural model on work-related musculoskeletal disorders of women workers. Method: Data were collected from 237 women workers from industries such as electronics, food production and garment production, and analyzed by LISREL 8.54. Result: The fitness indices of the model are GFI=.87, NNFI=.91, PNFI= .74. Eight out of the ten paths were proved to be statistically significant: work environment$\rightarrow$social support, work environment$\rightarrow$health behavior, work environment$\rightarrow$-WMSDs, domestic work$\rightarrow$health behavior, social support$\rightarrow$health behavior, social support$\rightarrow$job satisfaction, health behavior$\rightarrow$job satisfaction, and job satisfaction$\rightarrow$WMSDs. Work environment. social support, health behavior and job satisfaction significantly influenced WRMDs. WRMDs were accounted for 35% by the predictor variables. Conclusion: In conclusion, this study identifies that work environment, social support, health behavior and job satisfaction are important factors affecting WMSDs. Therefore, in order to prevent WRMDs, it is most important to improve both physical work environment for female workers such as appropriate work station and tools fit for them and psychological environment such as less job demand and more decision latitude(worker control).

• 한국산학기술학회논문지
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• 제19권8호
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• pp.422-432
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• 2018

본 연구는 재취업여성의 사회적지지와 진로역량, 진로결정효능감 및 진로적응성 간의 인과적 관계를 구명하는데 그 목적이 있다. 이를 위해 사회적지지 척도와 진로역량 척도, 진로결정자기효능감 척도, 진로적응성 척도가 사용되었으며, 연구는 2018년 3월 2일부터 4월 6일까지 서울 경기 지역의 직업전문학교, 미용학원, 여성 센터에서 미용교육을 1-9개월 이상 받고 있는 30-50대, 기혼, 6개월 이상 직장경험이 있는 경력단절여성 960명을 대상으로 설문조사를 실시하였다. 총 920부의 설문지가 최종분석에 사용되었으며, 데이터 분석은 SPSS프로그램과 AMOS프로그램으로 빈도분석, Cronbach's ${\alpha}$, 탐색적 요인분석, 상관관계분석, 확인적 요인분석, 구조모형분석을 수행하였다. 분석을 통해 나타난 연구의 결과는 다음과 같다. 첫째, 사회적지지, 진로역량 진로결정자기효능감, 진로적응성 간의 구조모형의 적합도가 적합한 것으로 나타났다. 둘째, 구조모형의 경로계수는 사회적지지, 진로역량, 진로결정자기효능감, 진로적응성 통계적으로 유의미한 것으로 나타났다. 셋째, 사회적지지, 진로역량과 진로적응성 간의 관계에서 진로결정자기효능감의 매개효과가 검증되었다. 이는 경력단절여성의 진로적 응성의 수준을 향상시키기 위해서는 사회적지지, 진로역량과 함께 진로결정자기효능감이 중요한 역할을 할 수 있다는 것을 시사하고 있다. 이에 본 연구는 재취업을 위해 미용교육을 받고 있는 경력단절여성의 성공적인 재취업을 위해 실제 직업진로상담이나 직무교육 프로그램 활용에 필요한 기초자료로 제공하고자 한다.

• 한국건설관리학회논문집
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• 제21권6호
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• pp.84-94
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• 2020

모듈러 공사는 현장이 아닌 공장에서 제작되기 때문에 반드시 운송공정이 포함되며, 운송장비에 따라 공법과 모듈의 크기 결정에 영향을 미치므로 설계단계뿐 아니라 시공계획단계에서 매우 중요하다. 그러나 운송에 관한 연구는 스케쥴 관리 차원에서만 논의되고 있어 운송에 큰 영향을 끼치는 운송 장비를 의사결정하기에 참고할 객관적 기준이나 자료가 부족하다. 본 연구에서는 모듈러 객체 공사에서 시공 계획수립 시 각 공사별 체계적 검토와 객관적 의사결정을 할 수 있도록 운송장비 영향요인과 의사결정지원모델을 제시하였다. 운송장비 선정에 영향을 끼치는 요인을 도출하기 위해 문헌 분석과 전문가 인터뷰를 진행하였고 이를 통해 총 5개의 영향요인과 영향요인별 세부요인을 도출하였다. 다중매트릭스를 이용하여 의사결정 지원모델을 구축하였고 두 가지 사례에 의사결정 지원모델을 적용하여 영향요인의 쌍대비교와 영향요인별 대안의 적합도 쌍대비교를 실시했다. 본 연구에서 제시한 의사결정 모델은 평가과정을 수리적으로 확인할 수 있어 현장에서 장비 선정과정의 객관성과 투명성을 확보하고 운송연구의 기초자료로서 활용될 수 있을 것이다.

• 한국IT서비스학회지
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• 제11권1호
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• pp.155-171
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• 2012

With the continuous and outstanding development of information technology(IT), human being is coming to the new computing era which is called cloud computing. This era brings lots of huge benefits also at the same time release the resources of IT infrastructure and data boom for man. In the future no longer, most of IT service providers, enterprises, organizations and systems will adopt this new computing model. There are three main deployment models in cloud computing including public cloud, private cloud and hybrid cloud; each one also has its own cons and pros. While implementing any kind of cloud services, customers have to choose one of three above deployment models. Thus, our paper aims to represent a practical framework to help the adopter select which one will be the best suitable deployment model for their requirements by evaluating each model comprehensively. The framework is built by applying the analytic hierarchy process(AHP), namely benefit-cost-opportunity-risk(BCOR) model as a powerful and effective tool to serve the problem. The gained results hope not only to provide useful information for the readers but also to contribute valuable knowledge to this new area. In addition, it might support the practitioners' effective decision making process in case they meet the same issue and have a positive influence on the increase of right decision for the organization.

• ETRI Journal
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• 제44권3호
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• pp.462-475
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• 2022

Although researchers have proposed numerous techniques for speech emotion recognition, its performance remains unsatisfactory in many application scenarios. In this study, we propose a speech emotion recognition model based on a genetic algorithm (GA)-decision tree (DT) fusion of deep and acoustic features. To more comprehensively express speech emotional information, first, frame-level deep and acoustic features are extracted from a speech signal. Next, five kinds of statistic variables of these features are calculated to obtain utterance-level features. The Fisher feature selection criterion is employed to select high-performance features, removing redundant information. In the feature fusion stage, the GA is is used to adaptively search for the best feature fusion weight. Finally, using the fused feature, the proposed speech emotion recognition model based on a DT support vector machine model is realized. Experimental results on the Berlin speech emotion database and the Chinese emotion speech database indicate that the proposed model outperforms an average weight fusion method.

• 산업경영시스템학회지
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• 제30권4호
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• pp.21-29
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• 2007

We derive priority decision making on healthcare service technology standardization in the home network through the decision support process with industry professionals. We configured a research group with 4 industrial areas including Industry, Academic, Research Institution and Medical Institution. And we also applied AHP methodology for the priority decision making. The research group decides an evaluation criteria which are consisted of marketability, technology, ripple effect, strategy for national policies in order to make a priority for healthcare service on a home network. And it is also decided 7 fields and 24 sub-fields, technically. In order to make a priority for the standardization, we use an AHP methodology, that is more objective and feasible, as a decision tool. After two-phase survey that consists of paper survey and face to face meeting, we get a conclusion that home healthcare content is at the top and then wireless home network follows it.

• The Journal of Asian Finance, Economics and Business
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• 제7권12호
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• pp.1005-1015
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• 2020

This paper aims to propose a Comprehensive Decision Support Model to evaluate retail companies' financial performance traded on the Vietnam Stock Exchange Market. The financial performance has been examined in terms of the valuations ratios, profitability ratios, growth rates, liquidity ratios, efficiency ratios, and leverage ratios. The data of twelve companies from the first quarter to the fourth quarter of 2019 and the first quarter of 2020 were employed. The weights of 18 chosen financial ratios are calculated by using the Standard Deviation method (SD). Grey Relational Analysis technique was applied to obtain the final ranking of each company in each quarter. The results showed that leverage ratios have the most significant impact on the retail companies' financial performance and gives some long-term investment recommendations for stakeholders and indicated that the Taseco Air Services Joint Stock Company (AST), Mobile World Investment Corporation (MWG), and Cam Ranh International Airport Services Joint Stock Company (CIA) are three of the top efficient companies. The three of the worst companies are Viglacera Corporation (VGC), Saigon General Service Corporation (SVC), and HocMon Trade Joint Stock Company (HTC). Furthermore, this study suggests that the GRA model could be implemented effectively to ranking companies of other industries in the future research.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제10권3호
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• pp.85-90
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• 2021

본 논문에서는 고령자를 위한 개별 웨어러블(Wearable) 기기를 이용한 낙상 감지에 대해 논한다. 신뢰할 수 있는 낙상 감지를 위한 저비용 웨어러블 기기를 설계하기 위해서 대표적인 두 가지 모델을 종합적으로 분석하여 제시한다. 기계 학습 모델인 의사결정 나무(Decision Tree), 랜덤 포래스트(Random Forest), SVM(Support Vector Machine)과 심층 학습 모델인 일차원(One-Dimensional) 합성곱 신경망(Convolutional Neural Network)을 사용하여 낙상 감지 학습 능력을 정량화하였다. 또한 입력 데이터에 적용하기 위한 데이터 분할, 전처리, 특징 추출 방법 등을 고려하여 검토된 모델의 유효성을 평가한다. 실험 결과는 전반적인 성능 향상을 보여주며 심층학습 모델의 유효성을 검증한다.

• 국제학술발표논문집
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• The 2th International Conference on Construction Engineering and Project Management
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• pp.279-288
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• 2007

Attempts to achieve a higher productivity have led studies to focus on process improvement. Information has been found as an essential element for process improvement. This research has introduced and focused on two types of information, namely: related jobsite information along the process and feedback information. Related jobsite information along the process which needs to be processed and delivered in a timely manner, accurate, and real time is required to streamline the decision making process. Whereas feedback information about process' current practices which have to be captured and stored is a useful for continuous improvement in identifying the problem origin and determining corrective action. In the current practices, although these two types of information are essential for process improvement, construction process has faced barriers in obtaining that information. Therefore, this research will propose a new information system to overcome the aforementioned barriers. The new information system consists of RFID as an automatic identification and data collection device integrated with database to support construction processes. The new system attempts to provide related jobsite information along the process and feedback information to support decision making process and continuous process improvement respectively. A case study of prefabrication installation process in housing projects has been selected to be implemented in conceptual model of RFID application in construction industry. Conceptual model will be presented in this paper as an initial stage of this ongoing research. Expected outcomes of the new system and future works will be discussed briefly.