• International Journal of Fuzzy Logic and Intelligent Systems
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• 제15권4호
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• pp.260-267
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• 2015

In the past, we implemented a web-based smart education platform, but this is not efficient in a smart or mobile education environment. Therefore, in this paper, we propose an Android-based e-board smart platform for a smart or mobile education system. Here, we use Anoto digital pen- and dot pattern-based technologies. This Android-based smart education platform is efficient for a smart education environment. Further, we implement the hardware and software parts of the technologies, an Anoto-based trajectory recognition algorithm, and a probabilistic neural network for handwritten digit and hand gesture recognition.

• 한국멀티미디어학회논문지
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• 제16권2호
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• pp.190-197
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• 2013

최근 국내외 플랫폼 업체와 이동통신사들이 서로 다른 스마트 플랫폼을 채택하여 사용함으로 인해 개발자는 하나의 스마트 콘텐츠를 서비스하기 위하여 각각의 스마트 플랫폼 특성에 맞추어 콘텐츠를 개발하거나 변환 작업을 해야 한다. 하지만, 기존의 스마트 콘텐츠를 다른 스마트 플랫폼으로 이식하기 위한 변환 작업에 많은 시간과 비용이 소모되고 있다. 이런 이유로 최근에 개발 언어의 제약 없이 한번 프로그램을 작성하면 어떤 플랫폼에서도 실행할 수 있는 OSMU(One Source Multi Use)의 핵심기술인 스마트 크로스 플랫폼(Smart Cross Platform) 또는 하이브리드 플랫폼(Hybrid Platform)에 관한 관심이 높아져 폰갭(PhoneGap), HTML5를 기반으로 한 센차터치(Sencha Touch)와 같은 시스템이 소개되고 있다. 본 논문에서는 플랫폼에 의존적인 기존의 Android나 iOS, Windows Phone과 달리 스마트 기기에 탑재되어 플랫폼에 독립적으로 응용 프로그램을 다운로드하여 실행할 수 있는 스마트 크로스 플랫폼 기반의 스마트 가상기계(Smart Virtual Machine)를 개발하였다. 스마트 가상기계는 Java 언어를 사용하는 썬 마이크로시스템스사의 JVM이나 C/C++/C# 언어를 사용하는 마이크로소프트사의 .NET 프레임워크와 같은 기존 기술들과 차별적으로 C/C++와 Java 언어를 모두 지원하여 콘텐츠 개발자들로 하여금 개발 언어 선택의 제한 없이 스마트 콘텐츠를 개발 할 수 있는 환경을 제공하여 준다.

• Journal of Smart Tourism
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• 제2권4호
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• pp.1-3
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• 2022

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2014년도 춘계 종합학술대회 논문집
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• pp.453-454
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• 2014

• 한국IT서비스학회지
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• 제11권2호
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• pp.19-47
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• 2012

Contemporary smartphone competition is generally described as the battle between Apple's proprietary platform and Google's open platform. However, this competition is not limited within smartphone adoption itself. User's pre-adoption of one mobile platform via smartphone can be connected to the post-adoption of the same mobile platform based on the other smart devices (e.g. smart pad). In this study, we investigate whether user's preference to a certain platform is persistent over mobile ecology, from the pre-adoption of one smart device to the post-adoption of following devices. For this investigation, we adopt the dual-model as the ground theory, where post-adoption of IT product is explained by both dedication and constraint factors. The empirical testing first evidences that dual model works well as our research model for identifying the reasons of post-adoption. Next, we group our data into two parts in order to compare the switching behavior of iPhone users and Android phone users. iPhone users show much lower switching rate to Android based smart pads, while Android phone users show higher churn rate to iPad (49.3% : 96.3%). Especially, satisfaction showed much stronger effect than switching cost on the continuing intention of existing platform, when the analysis is given to the iPhone user's group. From this result, we can conjecture the relatively stronger loyalty of iPhone users. More managerial implications on the mobile platform strategy are driven.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2022년도 추계학술대회
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• pp.156-159
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• 2022

최근 데이터 기반의 스마트시티를 이룩하고자 하는 다양한 시도가 발생하고 있다. 데이터 기반의 스마트시티를 위해서는 국내 108개 지자체에 보급된 스마트시티 통합플랫폼 활용을 통한 시너지를 발휘하는 것이 필수적이다. 본 논문에서는 도시 플랫폼 간 상호운용성을 향상하기 위해 도시 데이터 플랫폼으로 연구 중인 스마트시티 데이터허브와 스마트시티 통합플랫폼 간의 연동 구현 사례로써, 스마트시티 통합플랫폼의 도시 상황 이벤트를 스마트시티 데이터허브로 연계하고, 스마트시티 데이터허브에서의 데이터 융·복합 분석 결과로써 도시 예측 이벤트를 스마트시티 통합플랫폼으로 연계한 구현 사례를 기술한다.

• Journal of Smart Tourism
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• 제3권2호
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• pp.1-3
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• 2023

• Journal of Smart Tourism
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• 제2권2호
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• pp.1-4
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• 2022

• Smart Structures and Systems
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• 제12권1호
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• pp.23-39
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• 2013

In this article, a smart multifunctional optical system-on-a-chip (SOC) sensor platform is presented and its application for fiber Bragg grating (FBG) sensor interrogation in optical sensor networks is investigated. The smart SOC sensor platform consists of a superluminescent diode as a broadband source, a tunable microelectromechanical system (MEMS) based Fabry-P$\acute{e}$rot filter, photodetectors, and an integrated microcontroller for data acquisition, processing, and communication. Integrated with a wireless sensor network (WSN) module in a compact package, a smart optical sensor node is developed. The smart multifunctional sensor platform has the capability of interrogating different types of optical fiber sensors, including Fabry-P$\acute{e}$rot sensors and Bragg grating sensors. As a case study, the smart optical sensor platform is demonstrated to interrogate multiplexed FBG strain sensors. A time domain signal processing method is used to obtain the Bragg wavelength shift of two FBG strain sensors through sweeping the MEMS tunable Fabry-P$\acute{e}$rot filter. A tuning range of 46 nm and a tuning speed of 10 Hz are achieved. The smart optical sensor platform will open doors to many applications that require high performance optical WSNs.

• 산업경영시스템학회지
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• 제40권2호
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• pp.68-77
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• 2017

In order to implement the smart home environment, we need an intelligence service platform that learns the user's life style and behavioral patterns, and recommends appropriate services to the user. The intelligence service platform should embed a couple of effective and efficient data mining algorithms for learning from the data that is gathered from the smart home environment. In this study, we evaluate the suitability of data mining algorithms for smart home intelligent service platforms. In order to do this, we first develop an intelligent service scenario for smart home environment, which is utilized to derive functional and technical requirements for data mining algorithms that is equipped in the smart home intelligent service platform. We then evaluate the suitability of several data mining algorithms by employing the analytic hierarchy process technique. Applying the analytical hierarchy process technique, we first score the importance of functional and technical requirements through a hierarchical structure of pairwise comparisons made by experts, and then assess the suitability of data mining algorithms for each functional and technical requirements. There are several studies for smart home service and platforms, but most of the study have focused on a certain smart home service or a certain service platform implementation. In this study, we focus on the general requirements and suitability of data mining algorithms themselves that are equipped in smart home intelligent service platform. As a result, we provide a general guideline to choose appropriate data mining techniques when building a smart home intelligent service platform.