• The Journal of Korean Institute for Practical Engineering Education
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• v.5 no.1
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• pp.52-57
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• 2013

Because of rapid spread of the PC, many users have been enjoying a variety of content as PC. Especially in recent years, young people has increased dramatically PC usage. Young people get more easily information using a PC. Especially they relieve their stress through online games and feel another fun of virtual reality. It is obviously a good effect that they contact IT culture with rapidly developed. But young people's perspective with world is narrow because of doing more indoor activities than outdoor. Therefore we built Spot experience voucher system using smart phone application. We hope that many young people act outdoor activities. And Our product offer hybrid device by developing HTML5-based app. Thus this app will give interest of spot-experience to young-people. So If young people use this app, they can have many experience and see diverse aspects.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.6
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• pp.1475-1480
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• 2014

Wellness is IT fused with the user manage and maintain the health of a service can help you. If you are using an existing Fitness Center to yourself by choosing appliances that fit with the risk of injury in order to learn how the efficient movement had existed for a long time was needed. To resolve, use the personal training but more expensive cost of people's problems, and shown again in the habit of exercising alone will have difficulty. This paper provides a variety of smart phones based on a hybrid app with compatibility with the platform and personalized training market system. Users of the Fitness Center is built into smart phones in the history of their movement sensors or transmits to the Web by typing directly. This is based on exercise programs tailored to users via the training market. Personal training marketplace has a variety of users, check the history of this movement he can recommend an exercise program for themselves can be applied by selecting the. This provides users with the right exercise program can do long-term exercise habits can be proactive and goal setting.

• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.275-276
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• 2024

본 논문에서는 고객들이 쉽게 맛집을 찾고 예약할 수 있는 서비스를 제공하기 위해 웹 플랫폼인 Wait-Wise (ver.업주)와 WPMG, 하이브리드 앱인 Wait-Wise (ver.고객)과 포스시스템인 Pos-Ting이다. Wait-Wise (ver.고객)을 통해서 예약한 정보를 Pos-Ting에서 예약자명, 인원 수, 좌석, 예약번호와 같은 유요한 정보들을 업주에게 제공해주고, 업주는 Wait-Wise (ver.업주)을 통해서 매장정보, 메뉴정보, 테이블정보 저장하여 고객에게 Wait-Wise (ver.고객)을 통해서 정보를 제공하고, 관리자는 WPMG를 통해서 메뉴정보 저장하여 Pos-Ting에 정보를 제공한다. 일반 예약 어플리케이션은 예약시간만 지정할 수 있는데 반해 본 프로젝트는 예약 테이블을 지정하여 고객에 선택의 폭을 넓혀 원하는 시간과 원하는 자리에서 식사를 할 수 있게끔 본 프로젝트를 개발하였다.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.11
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• pp.1255-1266
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• 2014

This thesis presents MPU module, Base board and sensor module which are efficient industrial control through design and manufacture as developing S5PV210 CPU of SAMSUNG used by ARM Cortex-A8 based on Android which is Open mobile platform is installed to embedded system. Data for temperature and humidity which are received by sensor module proved the suitability and validity for the real time framework design as implementing application program employed the smart phone App with hybrid application based on DB of web server.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.638-641
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• 2013

In college, you can view the online quiz through the cyber education, and online learning. However, if there is no computer has a problem that can not be many students it is in place or not the Internet watch online quizzes. In recent years, many college students have a smart phone, from anywhere, using smartphone, you have utilized various Web surfing, news, and Messenger. In addition, office workers and students, have to learn to put to PDF necessary materials through the smartphone. Advantage of smart phones, have a feature that can be easy to carry and use anywhere at any time. Online learning from anywhere via a smart phone, so that you can see the online quizzes, in this paper, the system that not only online quizzes through a smartphone using the Hybrid-App, you can see in real time the results and scores of the person I proposed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.665-667
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• 2014

Wellness is IT fused with the user manage and maintain the health of a service can help you. If you are using an existing Fitness Center to yourself by choosing appliances that fit with the risk of injury in order to learn how the efficient movement had existed for a long time was needed. To resolve, use the personal training but more expensive cost of people's problems, and shown again in the habit of exercising alone will have difficulty. This paper provides a variety of smart phones based on a hybrid app with compatibility with the platform and personalized training market system. Users of the Fitness Center is built into smart phones in the history of their movement sensors or transmits to the Web by typing directly. This is based on exercise programs tailored to users via the training market. Personal training marketplace has a variety of users, check the history of this movement he can recommend an exercise program for themselves can be applied by selecting the. This provides users with the right exercise program can do long-term exercise habits can be proactive and goal setting.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.738-741
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• 2016

다양한 크기의 모바일 기기가 등장함에 따라 기존 웹 어플리케이션으로는 개발자가 의도한대로 레이아웃을 구성하기 어려우며 네이티브 어플리케이션은 운영체제별로 각각 개발해야하기 때문에 많은 개발 시간을 필요로 한다는 단점이 있다. 본 논문에서는 부트스트랩을 이용하여 기기의 화면 크기에 가변적인 반응형 웹을 구축하고 모바일 운영체제의 웹뷰를 이용한 하이브리드 앱을 구현함으로써 개발과정 및 개발 시간 단축을 검증하였다.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.1
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• pp.101-108
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• 2021

This paper builds a real-time home security system based on the OneNet cloud platform to control the status of the house through a smartphone. The system consists of a local part and a cloud part. The local part has I/O devices, router and Raspberry Pi (RPi) that collects and monitors sensor data and sends the data to the cloud, and the Flask web server is implemented on a Rasberry Pi. When a user is at home, the user can access the Flask web server to obtain the data directly. The cloud part is OneNet in China Mobile, which provides remote access service. The hybrid App is designed to provide the interaction between users and the home security system in the smartphone, and the EDP and RTSP protocol is implemented to transmit data and video stream. Experimental results show that users can receive sensor data and warning text message through the smartphone and monitor, and control home status through OneNet cloud.

• Journal of Intelligence and Information Systems
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• v.21 no.2
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• pp.1-18
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• 2015

Collaborative filtering(CF) algorithm has been popularly used for recommender systems in both academic and practical applications. A general CF system compares users based on how similar they are, and creates recommendation results with the items favored by other people with similar tastes. Thus, it is very important for CF to measure the similarities between users because the recommendation quality depends on it. In most cases, users' explicit numeric ratings of items(i.e. quantitative information) have only been used to calculate the similarities between users in CF. However, several studies indicated that qualitative information such as user's reviews on the items may contribute to measure these similarities more accurately. Considering that a lot of people are likely to share their honest opinion on the items they purchased recently due to the advent of the Web 2.0, user's reviews can be regarded as the informative source for identifying user's preference with accuracy. Under this background, this study proposes a new hybrid recommender system that combines with users' review mining. Our proposed system is based on conventional memory-based CF, but it is designed to use both user's numeric ratings and his/her text reviews on the items when calculating similarities between users. In specific, our system creates not only user-item rating matrix, but also user-item review term matrix. Then, it calculates rating similarity and review similarity from each matrix, and calculates the final user-to-user similarity based on these two similarities(i.e. rating and review similarities). As the methods for calculating review similarity between users, we proposed two alternatives - one is to use the frequency of the commonly used terms, and the other one is to use the sum of the importance weights of the commonly used terms in users' review. In the case of the importance weights of terms, we proposed the use of average TF-IDF(Term Frequency - Inverse Document Frequency) weights. To validate the applicability of the proposed system, we applied it to the implementation of a recommender system for smartphone applications (hereafter, app). At present, over a million apps are offered in each app stores operated by Google and Apple. Due to this information overload, users have difficulty in selecting proper apps that they really want. Furthermore, app store operators like Google and Apple have cumulated huge amount of users' reviews on apps until now. Thus, we chose smartphone app stores as the application domain of our system. In order to collect the experimental data set, we built and operated a Web-based data collection system for about two weeks. As a result, we could obtain 1,246 valid responses(ratings and reviews) from 78 users. The experimental system was implemented using Microsoft Visual Basic for Applications(VBA) and SAS Text Miner. And, to avoid distortion due to human intervention, we did not adopt any refining works by human during the user's review mining process. To examine the effectiveness of the proposed system, we compared its performance to the performance of conventional CF system. The performances of recommender systems were evaluated by using average MAE(mean absolute error). The experimental results showed that our proposed system(MAE = 0.7867 ~ 0.7881) slightly outperformed a conventional CF system(MAE = 0.7939). Also, they showed that the calculation of review similarity between users based on the TF-IDF weights(MAE = 0.7867) leaded to better recommendation accuracy than the calculation based on the frequency of the commonly used terms in reviews(MAE = 0.7881). The results from paired samples t-test presented that our proposed system with review similarity calculation using the frequency of the commonly used terms outperformed conventional CF system with 10% statistical significance level. Our study sheds a light on the application of users' review information for facilitating electronic commerce by recommending proper items to users.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.450-453
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• 2012

We must be the best choice in a variety of situations in decision every time. If you need to select one of several alternatives in a variety of fields, In this paper, we implement the system using AHP to analyze the results with the highest priority. AHP is one of the decision-making techniques. When Decision-makers making decisions, AHP would be useful if you need to select the alternative conflicting purpose. Excel using AHP software, or software for the PC exist. Recently, Smartphone and tablet PC is the modern man's necessities and has shown remarkable penetration. In this paper, we have developed a priority investigation Mobile Application.