• 한국인터넷방송통신학회논문지
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• 제15권2호
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• pp.9-14
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• 2015

스마트폰이 채택하고 있는 터치 인터페이스는 기존 피처폰 및 PC에서 채택하던 키패드나 키보드를 전면 대체하는 대중적인 인터페이스로 자리 잡았다. 특히, 터치 인터페이스는 개인별 다양한 동작 인식이 가능하고 애플리케이션별 입력 데이터 특성이 뚜렷이 구분되는 인터페이스이다. 본 논문에서는 스마트폰의 터치 인터페이스를 통해 나타나는 애플리케이션별 사용자 제스처를 분석한다. 특히, 안드로이드 스마트폰에서 널리 사용되는 게임, 웹 브라우져, 유튜브, 이미지 및 e-book 뷰어, 비디오 플레이어, 카메라, 지도 등 대표적인 애플리케이션 카테고리 별로 터치 인터페이스를 통해 입력되는 데이터를 추출하고 이를 분석하였다. 분석 결과 애플리케이션별로 고유한 터치 입력 패턴을 추출할 수 있었으며, 이를 통해 어떤 사용자가 어떤 애플리케이션을 수행했는지를 식별하는 용도, 소유자와 다른 입력 패턴이 들어올 경우 애플리케이션을 차단하는 용도, 나아가 사용자에게 편리한 새로운 인터페이스를 설계하는 용도 등에 본 연구의 결과가 활용될 수 있을 것으로 기대된다.

• 한국정보통신학회논문지
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• 제21권7호
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• pp.1386-1392
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• 2017

디지털 미디어의 활용이 활발하게 진행됨에 따라 UI/UX에 대한 관심 및 중요성이 증가하고 있다. 이에 교육용 모바일 앱 개발 시 가치분석 모형을 바탕으로 디자인 평가 모형을 설계하고 이를 바탕으로 한 개발방향을 제시하고자 한다. 소비자 가치 분석을 바탕으로 한 디자인 평가모형의 주요 요인들은 소비자의 지속적 사용에 영향을 미친다. 이에 앱 개발 시 기존 애자일 방식의 개발 단계에 사용자 가치 분석을 바탕으로 한 디자인 평가 주요 요인들을 반영하게 되면 최적의 UX환경을 제공할 수 있다. 이렇게 개발된 앱은 소비자에게 만족감을 높여주게 되어 지속적인 사용에 긍정적인 영향을 미칠 것으로 기대한다.

• 디지털산업정보학회논문지
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• 제20권1호
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• pp.87-98
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• 2024

This study conducted an empirical study on the application of innovative teaching methods in the tourism field in a situation where innovative teaching methods suitable for the AI era are required. It was intended to provide exploratory basic data on the application of a wide range of innovative teaching methods through actual verification of the educational effectiveness before and after the application of the innovative teaching method. To this end, the effectiveness before and after education was empirically verified with 60 students who majored in tourism at Y University in the metropolitan area. Reliability analysis, corresponding sample t-test, and map analysis using graphs were performed on the collected data to increase visibility. As a result of the study, it was found that all the competencies of the innovative teaching method had a statistically significant influence after the application of the innovative teaching method. In addition, by increasing the effect of interaction between instructors and learners acting as facilitators, exploratory results were derived for potential benefits and areas that could be improved.

• 산업진흥연구
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• 제6권2호
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• pp.21-35
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• 2021

연구결과 도입측면의 연구는 RPA 도입의 방향, 성과기대, 비용, 규제, 리스크에 초점을 맞추어 진행되어 왔다. 향후 도입측면의 연구는 조직적 측면 연구 외에도 기술적, 환경적 측면의 연구 활성화가 필요함을 알 수 있었다. 적용사례 측면의 연구는 실제 기업, 적용업무, 적용직업을 대상으로 이루어져왔음을 알 수 있었다. 향후 적용사례 측면의 연구는 실제 기업, 적용업무, 적용직업을 대상으로 RPA 기술적용 후 성과에 대한 연구가 필요해 보인다. 시장분석 측면의 연구는 시장의 형성단계, 그리고 미래시장 예측으로 이루어져왔음을 알 수 있었다. 향후 연구는 AI, 4차 산업혁명과 연계되어 미래의 시장이 어떻게 전개될지에 대한 연구는 가능하리라 본다. 수용의도 측면의 연구는 타 주제에 비하여 연구가 상대적으로 미진한 연구 분야라고 할 수 있다. 앞으로 수용의도 측면의 연구가 더욱 활성화된다면 신기술수용 이론의 발전에도 기여하고 RPA도입, RPA적용, RPA시장 활성화에도 시사점을 제시하였다.

• 한국수학교육학회지시리즈E:수학교육논문집
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• 제25권3호
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• pp.577-591
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• 2011

본 연구는 학교수학에서 컴퓨터를 활용한 교수 학습 자료 개발에 대한 시사점을 알아보기 위해 중학교 1학년 교과서 기하 단원에 제시된 컴퓨터 활용에 대한 내용을 분석하였다. 교과서에 제시된 컴퓨터에 관련된 내용 중 자세한 설명을 통해 실습이 가능한 내용도 있지만 교과서에 제시된 설명만으로 실습이 가능하지 않은 경우도 있었다. 수학 수업에서 컴퓨터를 교사가 직접 조작하거나 학생들의 활동을 목표로 한다면 그 내용은 가능한 자세히 소개되어야 한다. 컴퓨터의 활용 측면에서는 단순히 읽을거리나 수학적 사실을 시각적으로 확인하는 차원에서 벗어나 본 연구에서 소개한 방법과 같은 활동을 통해 수학적 사실을 이해하고 더 나아가 탐구하는 수준까지 단계적으로 안내하는 것도 필요하다.

• 유통과학연구
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• 제16권7호
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• pp.35-45
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• 2018

Purpose - The study investigates the impact of consignment on the economic performance in the supply chain with three stages. Through the analysis on distinct forms of consignment application, this study intends to answer to the question of how the consignment should be used in the multi-stage supply chain. Research design, data, and methodology - The proposed mathematical model represents the supply chain system with a manufacturer, a wholesaler, and a retailer. Three different forms of consignment application are considered depending on which stages adapt the consignment, and their system profits are compared with the traditional non-consignment system in numerical examples. Results - The numerical examples show that the serial consignment application performs better than any other forms of consignment as well as the non-consignment system. The additional analysis indicates that the system profit is significantly sensitive to the consignment rate. Conclusions - The outcome of this study implies the potential of consignment to improve the system performance even in the multi-stage supply chain system. Meanwhile, each supply chain member's preference to the specific form of consignment application could be different depending on which stage he has. All the supply chain members should jointly determine the appropriate consignment rates to obtain the best system performance.

• BMB Reports
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• 제44권2호
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• pp.107-112
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• 2011

We have developed a biologist-friendly, stand-alone Java GUI application, IdBean, for ID conversion. Our tool integrated most of the widely used ID conversion services that provide programmatic access. It is the first GUI ID conversion application that supports the direct merging as well as comparison of conversion results from multiple ID conversion services without manual effort. This tool will greatly help biologists who handle multiple ID types for the analyses of gene or gene product lists. By referring to multiple conversion services, the number of failed IDs can be reduced. By accessing ID conversion service online, it will potentially provide the most up-to-date conversion results. The application was developed in modular form; however, it can be re-packaged into plug-in form. For the development of a bioinformatics analysis tool, the module can be used as a built-in ID conversion component. It is available at http://neon.gachon.ac.kr/IdBean/.

• Journal of Information Processing Systems
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• 제18권5호
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• pp.650-664
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• 2022

Mobile applications can be easily downloaded and installed via markets. However, malware and malicious applications containing unwanted advertisements exist in these application markets. Therefore, smartphone users install applications with reference to the application review to avoid such malicious applications. An application review typically comprises contents for evaluation; however, a false review with a specific purpose can be included. Such false reviews are known as fake reviews, and they can be generated using artificial intelligence (AI)-based text-generating models. Recently, AI-based text-generating models have been developed rapidly and demonstrate high-quality generated texts. Herein, we analyze the features of fake reviews generated from Generative Pre-Training-2 (GPT-2), an AI-based text-generating model and create a model to detect those fake reviews. First, we collect a real human-written application review from Kaggle. Subsequently, we identify features of the fake review using natural language processing and statistical analysis. Next, we generate fake review detection models using five types of machine-learning models trained using identified features. In terms of the performances of the fake review detection models, we achieved average F1-scores of 0.738, 0.723, and 0.730 for the fake review, real review, and overall classifications, respectively.

• Journal of Magnetics
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• 제22권1호
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• pp.69-77
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• 2017

To empower safe, economical and eco-friendly sustainable solution for enhancing oil and gas productivity from deep water reservoirs, new downhole technologies are recommended. Since electric machine plays leading role in the downhole application, it is a squeezing requirement for researchers to design and develop advanced electric machine. The Recent improvement in technology and uses of high-temperature magnets, permanent magnet flux switching machine (PMFSM) has become one of the appropriate contenders for offshore drilling but fewer designed for downhole due to ambient temperature. Therefore this comprehensive study deals with the design optimization and performance analysis of outer rotor PMFSM for the downhole application. Preliminary, the basic design parameters needed for machine design are calculated mathematically. Then the design refinement technique is implemented through deterministic method. Finally, initial and optimized performance of the machine is compared and as a result the output torque is increase from 16.39 Nm to 33.57 Nm while diminishing the cogging torque and PM weight up to 1.77 Nm and 0.79 kg, respectively. Therefore, it is concluded that purposed optimized design is suitable for the downhole application.

• Journal of Korea Trade
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• 제24권7호
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• pp.1-28
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• 2020

Purpose - This paper empirically investigates the predictors and main determinants of consumers' ratings of mobile applications in the Google Play Store. Using a linear and nonlinear model comparison to identify the function of users' review, in determining application rating across countries, this study estimates the direct effects of users' reviews on the application rating. In addition, extending our modelling into a sentimental analysis, this paper also aims to explore the effects of review polarity and subjectivity on the application rating, followed by an examination of the moderating effect of user reviews on the polarity-rating and subjectivity-rating relationships. Design/methodology - Our empirical model considers nonlinear association as well as linear causality between features and targets. This study employs competing theoretical frameworks - multiple regression, decision-tree and neural network models - to identify the predictors and main determinants of app ratings, using data from the Google Play Store. Using a cross-validation method, our analysis investigates the direct and moderating effects of predictors and main determinants of application ratings in a global app market. Findings - The main findings of this study can be summarized as follows: the number of user's review is positively associated with the ratings of a given app and it positively moderates the polarity-rating relationship. Applying the review polarity measured by a sentimental analysis to the modelling, it was found that the polarity is not significantly associated with the rating. This result best applies to the function of both positive and negative reviews in playing a word-of-mouth role, as well as serving as a channel for communication, leading to product innovation. Originality/value - Applying a proxy measured by binomial figures, previous studies have predominantly focused on positive and negative sentiment in examining the determinants of app ratings, assuming that they are significantly associated. Given the constraints to measurement of sentiment in current research, this paper employs sentimental analysis to measure the real integer for users' polarity and subjectivity. This paper also seeks to compare the suitability of three distinct models - linear regression, decision-tree and neural network models. Although a comparison between methodologies has long been considered important to the empirical approach, it has hitherto been underexplored in studies on the app market.