• 제목/요약/키워드: case study methodologies

검색결과 348건 처리시간 0.026초

A Case Study of Combining Two Cross-platform Development Frameworks for Storybook Mobile App

  • Beomjoo Seo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권12호
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    • pp.3345-3363
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    • 2023
  • Developers often use cross-platform frameworks to create mobile apps that can run on multiple platforms with minimal code changes. However, these frameworks may not suit all the needs of a specific app, so developers may also use native APIs to add platform-specific features. This method eventually dilutes the advantages of cross-platform development methodology that aims to reduce development costs and time, and often leads to a decision to return back to the original native mobile development methodology. In this study, we explore a different approach: combining different cross-platform tools to develop a storybook mobile app that meets various requirements. We have demonstrated that integrating two cross-platform solutions can be used reliably to develop complex mobile applications. However, we also report that this approach can introduce unforeseen issues such as sandbox redundancy, unexpected functional burdens, and redundant permission requests. Despite these challenges, we believe that combining two cross-platform solutions can be applied to a variety of functional and performance requirements, enabling the development of more sophisticated mobile applications at lower costs and with shorter development timelines than traditional mobile app development methodologies.

실시간 기업 구현을 위한 균형성과표와 6 시그마의 연계: D사 SEM 구축 사례를 중심으로 (The Consolidation of the Balanced Scorecard and 6 Sigma Methodologies Ahead to Become a Real Time Enterprises: A Case Study of a SEM Development Project)

  • 서현주;김갑용
    • 경영정보학연구
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    • 제8권3호
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    • pp.245-259
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    • 2006
  • 전략 커뮤니케이션 툴인 BSC를 보다 실무지향적으로 활용하기 위하여 현장의 구체적인 혁신작업을 BSC와 연계하는 움직임이 대기업을 중심으로 시작되고 있다. D사에서는 2005년에서 2006년에 걸쳐 혁신과 성과관리 체계를 원인과 결과 차원에서 유기적으로 연계하고자 하는 SEM 프로젝트를 수행하였다. 이 과정에서 특별히 사업부 수준의 BSC와 6 시그마 방법론을 통합 연계하였고, 이를 통해 보다 실무지향적이고 정보기술에 기반한 성과 관리 및 의사결정을 가능하게 하는 전략실행체계를 마련하였다. 본 사례연구를 통해 경영전략과 전략실행의 일원화에 어려움을 겪고 있는 기업들에게 RTE 구현을 위한 시사점을 제공할 수 있을 것으로 기대한다.

뇌성마비에 대한 국내의 질적 연구 분석 (Analysis of Korean Qualitative Studies on Cerebral Palsy)

  • 이문성;신대원;김부영;윤영주
    • 대한통합의학회지
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    • 제7권1호
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    • pp.99-112
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    • 2019
  • Purpose : The purpose of this study was to analyze Korean qualitative research studies on cerebral palsy and provide a basis for future direction of research. Methods : Twenty-six articles were selected by searching 4 Korean databases (NDSL, DBpia, KISS, and RISS) and reviewing the list of additional references. All the articles were analyzed and assessed using the Consolidated criteria for Reporting Qualitative research (COREQ). Results : Seventeen qualitative studies and 9 mixed quantitative and qualitative studies were selected, and methodologies such as case study (42.3 %), constant comparative method (23.1 %) and phenomenology (23.1 %) were used. The studies investigated the effects of interventions (38.5 %), support programs (30.8 %), and life experiences (26.9 %). Among the participants, 50.0 % were persons with disabilities only, 19.2 % were parents only, and 30.8 % were combination of persons with disabilities, parents, teachers, and therapists. The number of participants in most studies was 2-9 (57.7 %). The COREQ evaluation of the selected articles revealed many shortcomings in the studies. Interview guidelines were used only in 26.9 % of the studies. In particular, many articles did not describe in detail the characteristics of researchers and the relationship between researchers and the participants. Conclusion : In future, various research methodologies and research checklists must be used to stimulate high-quality qualitative research with on cerebral palsy.

채식 치료식 도입에 대한 대만 사례 연구 (The Case of Vegetarian Hospital Diets in Taiwan)

  • 서수연;권영규;채한
    • 동의생리병리학회지
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    • 제28권5호
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    • pp.548-557
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    • 2014
  • The purpose of this study was to understand how vegetarian diets in Taiwanese hospitals are well established and provide suggestion for successful implementation in Korea. Micro-ethnographic case study with in-depth interviews, field observations, and paper reviews were used for this study. Experiences of doctors and nutritionists from Taiwanese hospitals where deliver vegetarian hospital diets were analyzed. This research found out Taiwanese life respect culture has influence on introducing vegetarian diets in hospital, besides most Participants agreed to use vegetarian diets for the medical purpose according to their clinic experiences and research results. Meanwhile there is no restriction to compel patients to keep vegetarian diets. All participants answered food has a large effect on the human body and further study on vegetarian diets' efficacy is required. The hospital chief's decision making is crucial to introduce vegetarian diets in hospitals. For the bigger picture, social supports, organizational supports and national policy supports are all important factors for it. The implications and recommendations for Korean hospitals were discussed. The public awareness for vegetarian diet for medical purpose along with research on its efficacy would be needed. In order to make good use of a vegetarian diet for medical purposes, we first need to build a vegetarian-friendly environment, go deep into the study of a diet's effects using diverse methodologies, and combine the diet with traditional medicine theory. Based on the results of this primary study, more related studies should be carried out in the future.

Prediction of the price for stock index futures using integrated artificial intelligence techniques with categorical preprocessing

  • Kim, Kyoung-jae;Han, Ingoo
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회 1997년도 추계학술대회발표논문집; 홍익대학교, 서울; 1 Nov. 1997
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    • pp.105-108
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    • 1997
  • Previous studies in stock market predictions using artificial intelligence techniques such as artificial neural networks and case-based reasoning, have focused mainly on spot market prediction. Korea launched trading in index futures market (KOSPI 200) on May 3, 1996, then more people became attracted to this market. Thus, this research intends to predict the daily up/down fluctuant direction of the price for KOSPI 200 index futures to meet this recent surge of interest. The forecasting methodologies employed in this research are the integration of genetic algorithm and artificial neural network (GAANN) and the integration of genetic algorithm and case-based reasoning (GACBR). Genetic algorithm was mainly used to select relevant input variables. This study adopts the categorical data preprocessing based on expert's knowledge as well as traditional data preprocessing. The experimental results of each forecasting method with each data preprocessing method are compared and statistically tested. Artificial neural network and case-based reasoning methods with best performance are integrated. Out-of-the Model Integration and In-Model Integration are presented as the integration methodology. The research outcomes are as follows; First, genetic algorithms are useful and effective method to select input variables for Al techniques. Second, the results of the experiment with categorical data preprocessing significantly outperform that with traditional data preprocessing in forecasting up/down fluctuant direction of index futures price. Third, the integration of genetic algorithm and case-based reasoning (GACBR) outperforms the integration of genetic algorithm and artificial neural network (GAANN). Forth, the integration of genetic algorithm, case-based reasoning and artificial neural network (GAANN-GACBR, GACBRNN and GANNCBR) provide worse results than GACBR.

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인공신경망을 이용한 주택가격지수 예측 (Prediction of Housing Price Index Using Artificial Neural Network)

  • 이지영;유재필
    • 한국산학기술학회논문지
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    • 제22권4호
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    • pp.228-234
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    • 2021
  • 부동산의 시장 참여자들에게 부동산 가격에 대한 방향성을 예측하는 것은 의사결정에 있어서 매우 중요하다. 이를 위해 주로 회귀분석, ARIMA, VAR 등의 방법론을 사용하는데 이는 불특정 변수에 의해서 변동하는 자산의 가치를 예측하는데 한계점을 갖는다. 때문에 본 연구에서는 이를 보완하기 위해서 인공신경망 기법을 이용해 부동산 시장에서 유동성이 풍부한 서울 아파트 가격 추이를 예측하고자 한다. 인공신경망 학습을 위해서 총 12개의 거시 및 미시적 변수를 나눠 학습 모형을 설계하는데 거시적 요인은 CASE1, 미시적 요인은 CASE2 그리고 두 요인을 조합해서 요인을 구성한 CASE3 으로 나눠서 실험한다. 그 결과 CASE1 과 CASE2 는 약 2년 동안 87.5%의 예측을 보이고 CASE3은 95.8%의 예측성과를 보인다. 본 연구는 아파트 가격에 영향을 주는 다양한 요인들을 거시적 및 미시적으로 구분하여 정의하고 미래의 아파트 가격의 방향성을 예측하는데 인공신경망 기법을 제안하고 그 실효성을 분석했다. 따라서 최근 발전하고 있는 학습 기법이 부동산 분야에 다양한 관점으로 적용되어 시장 참여자들의 효율적인 의사결정을 할 수 있기를 기대한다.

다중 지구과학자료를 이용한 GIS 기반 공간통합과 통계량 분석 : 광물 부존 예상도 작성을 위한 사례 연구 (GIS-based Spatial Integration and Statistical Analysis using Multiple Geoscience Data Sets : A Case Study for Mineral Potential Mapping)

  • 이기원;박노욱;권병두;지광훈
    • 대한원격탐사학회지
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    • 제15권2호
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    • pp.91-105
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    • 1999
  • 최근 다중 지질정보의 통합적 해석은 GIS의 중요한 응용 분야중 하나로 인식되고 있다. 공간통합을 위하여 지구통계학적 방법들이 개발되어 있지만, 통합결과와 입력 주제도들 사이의 관계에 대한 통계적, 정량적 분석방법론의 개발은 아직까지 체계적으로 정립되어 있지 못한 상황이다. 본 연구에서는 지질도, 지화학자료, 항공지구물리자료, 지형자료 및 원격탐사 영상등 다양한 지질정보등이 보고된 옥동지역을 대상으로 하여 광물 부존 예상도 작성 사례연구를 수행하여 기존에 이용되고 있는 여러 공간 통합 방법중 확실인자 (Certainty Factor: CF) 추정방법과 다변량 통계 분석방법중 하나인 주성분분석을 시험적인 통합방법으로 우선적으로 적용한 뒤, 입력 자료와 통합결과에 대한 정량적인 통계량 정보를 추출하고자 하였다. 입력 주제도와 통합 결과사이의 관계 규명에는 통계 분할표를 이용한 통계처리를 편의 분석에는 잭나이프 방법을 적용하였다. 통합정보에 대한 통계량 분석을 통하여, 통합 결과와 입력자료 사이의 정량적 관계를 추출할 수 있었으며, 부가적으로 입력자료의 상태수준에 대한 판단정보를 얻을 수 있었다. 이러한 결과는 GIS 관점에서 통합결과 해석에 중요한 결정보조자료로 활용될 수 있으며, 복잡한 다중정보를 다루는데 공간 통합문제에서도 입력정보 검증을 위한 일반적일 처리과정으로도 발전할 수 있을 것으로 생각된다.

도시철도의 완.급행 혼합 운전계획 최적화를 위한 실시간 시뮬레이션 기반 대피역 선정 알고리즘 (An Overtaking-station-selection Algorism Based on Realtime Simulation for the Optimization of Mixed Operation of Express and Regular Trains of Urban Transit)

  • 선현규;류상환;최규형
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2011년도 정기총회 및 추계학술대회 논문집
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    • pp.490-497
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    • 2011
  • When operating Express and Standard trains, which run with two different scheduled time, in a single line with limited number of side tracks for overtaking standard trains, it is required to have various modeling methodologies and simulations in order to calculate an optimum headway to maximize the capacity of the line with the best scheduled time. Especially it is inevitable that following trains have to slow down or stop in the middle of their operations due to the preceding trains, in case it is inappropriate controlled about either in which station an overtaking should be taken or how long it should be. This study is to analyze TPS data which have been produced with a simulation program which the team has invented to optimize Express and Standard mixed traffic plan and to introduce an algorism which shows detected conflict data, calculates appropriate dwell time after getting overtaken and helps to decide stations for overtaking.

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Seismic retrofitting of Fragavilla Monastery

  • Karantoni, Fillitsa V.
    • Earthquakes and Structures
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    • 제5권2호
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    • pp.207-223
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    • 2013
  • Practical seismic assessment and design of retrofit for the multitude of small ecclesiastical monuments that abound in the Balkans is the subject of this work. Application of the proposed procedures and methodologies are illustrated in an example case study, a small byzantine church located in Western Greece, which is the region with the highest seismicity in Europe. The church, known as the Fragavilla Monastery, had remained almost undamaged for 800 years, until 1993 when the Pyrgos earthquake caused critical damage mainly in the vaults. Linear elastic analysis to the recorded ground motion, capped by a biaxial failure criterion reproduced the developed damage. The same modelling and analysis procedure was subsequently used for assessment of the intended retrofitting measures. Proposed retrofitting measures included mitigation of the undesirable implications of past interventions along with a combination of strengthening schemes with externally bonded AFRPs strategically placed in the structure. The effectiveness of the proposed solutions is gauged by successful reduction of stress intensity in the critical regions and mitigation of stress localization throughout the structure.

Integrating Software Security into Agile-Scrum Method

  • Ghani, Imran;Azham, Zulkarnain;Jeong, Seung Ryul
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제8권2호
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    • pp.646-663
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    • 2014
  • Scrum is one of the most popular and efficient agile development methods. However, like other agile methods such as Extreme Programming (XP), Feature Driven Development (FDD), and the Dynamic Systems Development Method (DSDM), Scrum has been criticized because of lack of support to develop secure software. Thus, in 2011, we published research proposing the idea of a security backlog (SB). This paper represents the continuation of our previous research, with a focus on the evaluation in industry-based case study. Our findings highlight an improved agility in Scrum after the integration of SB. Furthermore, secure software can be developed quickly, even in situations involving requirement changes of software. Based on our experimental findings, we noticed that, when integrating SB, it is quite feasible to develop secure software using an agile Scrum model.