• Journal of Multimedia Information System
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• v.2 no.1
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• pp.187-192
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• 2015

The aim of this study was to develop and analyze a short course educating App Inventor and Arduino that showed the importance of software for youth. The course consists of a total of 10 missions for a 4 hour course divided into 2 parts, each 2 hours respectively. We conducted a basic course of Arduino for hardware and software, Processing for server programming, and App Inventor for programming for smartphones. The final mission was to send a signal to a server with a smartphone and to control light connected to a relay which passes Arduino connected with a server and serial communication. Participants completed 95% of missions, and we found the course had an educational effect for improving creativity and realization of software importance.

• Spatial Information Research
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• v.21 no.1
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• pp.1-13
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• 2013

This paper describes a GIS framework for geo-semantic information retrieval in mobile computing environments. We built geographic ontologies of POI (point of interest) and weather information for use in the combination of semantic, spatial, and temporal functions in a fully integrated database. We also implemented a geo-semantic app for Android-based smartphones that can extract more appropriate POIs in terms of user contexts and geographic ontologies and can visualize the POIs using Google Maps API (application programming interface). The feasibility tests showed our geo-semantic app can provide pertinent POI information according to mobile user contexts such as location, time, schedule, and weather. We can discover a baking CVS (convenience store) in the test of bakery search and can find out a drive-in theater for a not rainy day, which are good examples of the geo-semantic query using semantic, spatial, and temporal functions. As future work, we should need ontology-based inference systems and the LOD (linked open data) of various ontologies for more advanced sharing of geographic knowledge.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.07a
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• pp.195-198
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• 2013

초등정보영재학생들에게 있어 스마트폰 앱의 개발은 기본적으로 자바와 같은 프로그래밍 언어 뿐만 아니라 기타 복잡한 프로그래밍 환경 등 어느 정도의 프로그래밍에 대한 지식을 요구한다. 본 연구에서는 전혀 프로그래밍에 대한 기초적인 지식이 없거나 앱에 대한 개발 경험이 없어도 쉽게 앱을 개발할 수 있은 MIT대학의 앱인벤터(AppInventor)를 활용하여 초등정보영재학생들의 창의성을 향상시킬 수 있는 앱 개발 교육프로그램을 개발하고자 하였다. 개발한 교육프로그램은 초등 정보영재 학생들의 창의성 및 문제해결력, 계산적 사고력을 동시에 길러 줄 수 있을 것이다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.07a
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• pp.241-244
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• 2013

본 논문에서는 TCP 소켓을 이용해서 스마트폰의 GPS 및 3G/4G, WiFi 기능으로 위치전송을 통한 미아, 치매노인 찾기 및 약속잡기 App에 관해 제안한다. 이 App은 스마트폰 등 정보기기의 발달로 인한 가족 간의 대화 단절, 실종 및 비정상적이고 비윤리적인 사회문제를 해결하는데 이의를 둔다. App을 통해 온 가족을 하나의 그룹으로 묶어 그룹 간에 일정을 공유할 수 있고, 채팅 기능을 통해 가족의 대화를 유도해 효율적인 의사소통을 가능하게 한다. 또한 GPS 기능을 통해 위치정보를 공유하고 한 자리에 모이기 힘든 현대 가족에게 쉽게 가족 간에 약속장소를 정할 수 있으며, 유사시에는 위젯을 통해 자신의 위치를 가족들에게 신속히 문자메시지로 보내 브라우저로 위치를 확인할 수 있게 된다.

• Journal of Information Technology Services
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• v.12 no.4
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• pp.435-447
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• 2013

If we use a smartphone to analyze and detect falling, it is a huge advantage that the person with a sensor attached to one's body is free from awareness of difference and limitation of space, unlike attaching sensors on certain fixed areas. In this paper, we suggested effective posture analysis of smartphone users, and fall detecting system. Suggested algorithm enables to detect falling accurately by using the fact that instantaneous change of acceleration sensor is different according to user's posture. Since mobile applications working on smart phones are low in compatibility according to mobile platforms, it is a constraint that new development is needed which is suitable for sensor equipment's characteristics. In this paper, we suggested posture analysis algorithm using smartphones to solve the problems related to user's inconvenience and limitation of development according to sensor equipment's characteristics. Also, we developed fall detection system with the suggested algorithm, using hybrid mobile application which is not limited to platform.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2010.04a
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• pp.545-550
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• 2010

Due to the advancements in mobile communication recently, the smartphone is coming to wide use in variety of fields with powerful functions which are GPS, Wi-Fi, built-in camera, and so on. I'm going to discuss the application implementation using Smartphone in the e-Navigation.

• International Journal of Advanced Culture Technology
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• v.5 no.2
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• pp.54-62
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• 2017

Currently, falling to industrial field workers is causing serious injuries. Therefore, many researchers are actively studying the fall by using acceleration sensor, gyro sensor, pressure sensor and image information.Also, as the spread of smartphones becomes common, techniques for determining the fall by using an acceleration sensor built in a smartphone are being studied. The proposed method has complexity due to fusion of various sensor data and it is still insufficient to develop practical application. Therefore, in this paper, we use acceleration sensor module built in smartphone to collect acceleration data, propose a simple falling algorithm based on accelerometer sensor data after normalization and preprocessing, and implement an Android based app.

• The Journal of Korean Association of Computer Education
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• v.19 no.6
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• pp.25-32
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• 2016

This study aims to suggest app programming education plan by analyzing the effects of app programming education using m-bizmaker on the creative problem solving ability in specialized high school students. Currently, The South Korean government is preparing to conduct SW education in primary and secondary schools. Developing smartphone apps that are familiar to students can be seen as a very effective tool of SW educational measures. In general, app development can only be achieved through specialized training on how to use the app programming language. So, many students think the app programming is difficult areas before creating apps because tired of learning how to an app programming language. As a result of applying app programming education using m-Bizmaker, which is one of the app authoring tools, to the class, it is desirable as an app programming education plan. And according to survey results, it has been proved that the app programming education plan using m-Bizmaker is effective to improve creative problem solving ability.

• Knowledge Management Research
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• v.20 no.3
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• pp.139-154
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• 2019

With the increasing use of smartphone apps, many apps are coming out in various fields. In order to analyze the current status and trends of apps in a specific field, it is necessary to establish a classification scheme. Various schemes considering users' behavior and characteristics of apps have been proposed, but there is a problem in that many apps are released and a fixed classification scheme must be updated according to the passage of time. Although it is necessary to consider many aspects in establishing classification scheme, it is possible to grasp the trend of the app through the proposal of a classification scheme according to the characteristic of the app. This research proposes a method of establishing an app classification scheme through the description of the app written by the app developers. For this purpose, we collected explanations about apps in the tourism field and identified major categories through topic modeling. Using only the apps corresponding to the topic, we construct a network of words contained in the explanatory text and identify subcategories based on the networks of words. Six topics were selected, and Clauset Newman Moore algorithm was applied to each topic to identify subcategories. Four or five subcategories were identified for each topic.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.2
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• pp.35-40
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• 2024

In this paper, we validate the practicality of the OnePIC app implemented in the previous study by analyzing the execution and storage performance. The OnePIC app is a camera app that allows you to get a photo with a desired focus after taking photos focused on various places. To evaluate performance, we analyzed distance focus shooting time and object focus shooting time in detail. The performance evaluation was measured on actual smartphone. Distance focus shooting time for 5 photos was around 0.84 seconds, the object detection time was around 0.19 seconds regardless of the number of objects and object focus shooting time for 5 photos was around 4.84 seconds. When we compared the size of a single All-in-JPEG file that stores multi-focus photos to the size of the JPEG files stored individually, there was no significant benefit in storage space because the All-in-JPEG file size was subtly reduced. However, All-in-JPEG has the great advantage of managing multi-focus photos. Finally, we conclude that the OnePIC app is practical in terms of shooting time, photo storage size, and management.