• International Journal of Advanced Culture Technology
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• 제8권3호
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• pp.241-246
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• 2020

In this paper, we propose a user matching app based on hybrid app and a utilization plan to promote sports tourism in line with the growing trend of sports industry scale. The proposed app categorizes sports facilities across the country into regional, sports, private and public sports facilities to support reservations and matching. The proposed app applied a matching system in which matching scores were given according to the preference of events, places, and users by user net matching algorithm. Users can enjoy sports as a team or individual through the suggestion app even if they do not have any clubs or friends to which they belong. It can be used to improve tourism content services and establish tourism industry policies by analyzing data generated while using a user matching system.

• 대한의용생체공학회:의공학회지
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• 제35권6호
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• pp.219-226
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• 2014

This study is to develop a basic life support (BLS) app using the android based smartphone and to evaluate the function of the app. Suggested app contains chest compression feedback function, the map of automated external defibrillator (AED), direct emergency call and the basic knowledge of BLS. Using the accelerometer of the smartphone, we implemented a real-time algorithm that estimates the chest compression depth and rate for high quality cardiopulmonary resuscitation (CPR). The accuracy of algorithm was evaluated by manikin experiment. We made contents which were easy to learn the BLS for the layperson and implemented a function that provides the AED location information based on the user's current location. From the manikin experiment, the chest compression depth and rate were no significant differences between the manikin data and the app's feedback data (p > 0.05). Developed BLS app was uploaded on Google Play Store and it was free to download. We expected that this app is useful to learn the BLS for the layperson.

• 한국식품조리과학회지
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• 제29권2호
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• pp.161-168
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• 2013

The purpose of this study was to develop an educational app that informs parents of elementary students with correct information on pesticide residue based on their awareness and information needs on pesticide residue. A survey was conducted from 918 parents living in 8 different districts of Korea. The results of the survey indicated that a majority of parents felt uncomfortable with pesticide residue and wanted to have the proper information regarding it. Based on the above results, an app named 'Perfect Conquest of Pesticide Residue' consisting of 5 main menus of 'Pesticide residue, Is it safe?', 'Safe management of pesticide residue', 'Perfect removal of pesticide residue on fruits and vegetables through washing', 'Shopping without anxiety', 'Playground' and their own sub-menus was developed. When the app was applied to 30 parents using smart phones, a majority of them were satisfied with the contents of detailed information and fun activities. Therefore, this app could be utilized as an effective educational tool for the parents of elementary students by allowing them to have proper awareness on pesticide residue. Furthermore, more apps could be developed on other food risk factors to promote safe dietary life.

• International Journal of Advanced Culture Technology
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• 제8권4호
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• pp.263-270
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• 2020

The growth of the mobile app markets has made it popular among people who recommend relevant information about restaurants. The recommendation service app based on AI Chatbot is that it can efficiently manage time and finances by making it easy for restaurant consumers to easily access the information they want anytime, anywhere. Eating out consumers use smartphone applications for finding restaurants, making reservations, and getting reviews and how to use them. In addition, social attention has recently been focused on the research of AI chatbot. The Chatbot is combined with the mobile messenger platform and enabling various services due to the text-type interactive service. It also helps users to find the services and data that they need information tersely. Applying this to restaurant recommendation services will increase the reliability of the information in providing personal information. In this paper, an artificial intelligence chatbot-based smartphone restaurant recommendation app using personalization information is proposed. The recommendation service app utilizes personalization information such as gender, age, interests, occupation, search records, visit records, wish lists, reviews, and real-time location information. Users can get recommendations for restaurants that fir their purpose through chatting using AI chatbot. Furthermore, it is possible to check real-time information about restaurants, make reservations, and write reviews. The proposed app uses a collaborative filtering recommendation system, and users receive information on dining out using artificial intelligence chatbots. Through chatbots, users can receive customized services using personal information while minimizing time and space limitations.

• International Journal of Advanced Culture Technology
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• 제8권4호
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• pp.255-262
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• 2020

Recently, medical tourism is recognized as a high value-added industry because of its longer period of stay and higher expenditure than general tourism. In particular, although the number of medical tourists visiting Korea is increasing, the perception of Korean medical services is low. The purpose of this paper is to develop the app which, based on medical tourism type, recommends tourism destinations. Additionally, this proposed app can expand general tourism as well. It can provide tourists with medical information easily by sorting types tourists. Besides, as medical tourists normally stay long, we can take the advantage of post-treatment time. This app collects medical information data and tourist destination data, and categorizes the types of medical tourists into four categories: disease medical tourism, traditional medical tourism, cosmetic medical tourism, and recreational medical tourism. It provides medical information according to each type and recommends customized tourist destinations. User-based collaborative filtering is applied for tourist destination recommendations.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2010년도 추계학술발표대회
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• pp.72-75
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• 2010

Google을 시작으로 포털 사이트들이 Maps API를 공개하면서 맵 응용에 대한 수요가 급증하고 있다. 맵 응용의 개발은 대부분 수작업으로 이루어지고 있기 때문에 맵 응용의 생산성이 떨어질 뿐만 아니라 유지 보수에도 많은 시간과 노력이 요구되고 있다. 우리가 설계하고 구현한 MapAppGen은 ModuleGen, IndexGen, MapGen으로 구성되며 맵 응용을 자동으로 생성한다. MapAppGen은 Google Maps API를 사용하여 CMS(Content Management System) 중의 하나인 Drupal에 적용 가능한 모듈들을 생성해 맵 응용에 대한 생산성을 향상시켜 준다. MapAppGen처럼 맵 응용을 위해 Drupal 모듈을 생성하는 생성기는 현재 존재하지 않으며 Gmap이나 NodeMap과 같이 고정된 맵 인터페이스 모듈들은 존재한다. 그러나 Gmap이나 NodeMap 모듈은 Drupal의 기본 컨텐츠 타입 모듈에 의존하기 때문에 사용자는 원하는 지형/지물 컨텐츠 타입을 생성해 활용할 수 없고 지형/지물들을 유형별로 맵 상에 표시하고 연관된 컨텐츠들을 검색할 수도 없다.

• 전자공학회논문지
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• 제51권8호
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• pp.77-86
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• 2014

모바일 디바이스는 일반적으로 인위적인 디자인의 앱 영상으로 구성된다, 따라서, 본 논문에서는 주변 밝기에 따라 앱 영상별 최적의 밝기를 설정하여 재현함으로 모바일 디스플레이에서의 최적의 시인성을 나타내는 방법을 제안한다. 먼저 두 가지의 사전실험을 통하여 시인성에 영향을 주는 앱 영상의 특성요소를 찾고, 각 앱 영상별 만족하는 디바이스 밝기를 조사하였다. 다음으로, 앱 영상별로 이들 요소들과 디바이스 만족 밝기와의 관계를 비교 분석하였다. 그 결과, 평균 밝기와 진출색의 분포비율을 이용하여 앱 영상을 분류하고 각 분류별 가장 많은 빈도를 나타내는 만족 밝기를 최적 밝기로 설정하였다. 평가를 위한 실험에서 분류된 영상별 최적의 밝기에 대해 시인성 테스트를 수행한 결과 분류된 앱 영상에 따라 다양한 조도 환경에 대하여 높은 만족도를 나타냄을 확인하였다.

• Journal of Information Technology Applications and Management
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• 제24권3호
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• pp.63-72
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• 2017

The purpose of this study is to investigate the relationship between application attractiveness and loyalty to mobile music applications. The application attractiveness is operationalized into four dimensions: richness of music contents, music app design quality, music app functionality, and promotion. The hypotheses are postulated and tested using a sample of 370 student respondents from Henan Polytechnic University and Henan Institute of Technology, China. The result shows that there is a positive correlation between loyalty and three application attractiveness aspects: richness of music contents, music app design quality and music app functionality. Based on the results of this study, the research put forward constructive suggestions about improving mobile music application loyalty. Finally, several conclusions, managerial suggestions, limitations and future research are proposed.

• International Journal of Advanced Culture Technology
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• 제3권2호
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• pp.118-123
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• 2015

IT environment gets more complicated in terms of open platform, network standards, device design and hardware, etc. Smart network and application are in the fields of corporate as well as national competition for future fusion technology. In development environment focused on computers, the ideas of authoring tool have been presented in terms of improved software productivity. In smart environment where subdividing works are consecutively done, current authoring tool should be effectively updated for effective development of programs and easier access to business works. The basic concept of a new conceptual App development tool, Smart App Authoring Tool, which has been designed in this study and enables to apply on-site requirements to smart phones, is to develop Apps on the level using easy-to-learn Word or Excel in a computer. Therefore, this study is intended to design a conceptual Smart App Authoring Tool to optimize the cost and time for developing and maintaining new application services under various smart phone platform environments. Based on the performance of smart app authoring tool herein, every people can develop a smart app program at moderate level. So this paper have designed a conceptual smart app authoring tool. This study presented educational efficiency of the authoring tool by developing business Apps under various business environments and applying them under university and high school environments.

• 한국초등과학교육학회지:초등과학교육
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• 제40권3호
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• pp.390-406
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• 2021

이 연구는 화산과 지진 단원의 수업에 GeoMapApp을 활용한 학습 자료를 적용하고, 공간 능력이 서로 다른 초등학생들이 인지한 공간 개념, 표현한 공간적 표상의 도구, 지형 구조를 표현하는 데 적용한 공간적 추론을 추출하여 공간적 사고의 과정을 분석하였다. 공간 능력 상위 집단 학생들은 인지한 공간 개념 정보를 수평 거리에 따라 구간을 나누어 화산과 지진의 지형 구조에 관한 심리적 이미지를 형성하는 내적 공간 표상을 활용하거나, 인식한 공간 개념을 그대로 연결하는 공간적 추론의 사례를 보였다. 또한, 지진 자료를 보고 공간 개념을 변형하여 공간적 추론을 수행하는 예도 있었다. 공간 능력 하위 집단 학생들은 공간 개념을 직접 지형 구조로 연결하는 공간적 추론을 보이거나, 공간 개념을 부분적으로 인식하여 지형을 파악하는 공간적 추론 사례를 보였다. 연구 결과를 근거로 초등학생들이 GeoMapApp 자료에서 거리, 높이, 깊이와 같은 공간 개념을 정확히 인식해야 더 나은 공간적 사고를 구현할 수 있음을 밝혔다.