• The Journal of Society for e-Business Studies
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• v.17 no.3
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• pp.1-14
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• 2012

As the techniques of electronic and information are advancing, the computing power of a smart phone is becoming more powerful and the storage capacity of a smart phone is becoming larger. As the result, various new useful services are becoming available on smart phones. The context-aware service and mobile augmented reality have recently been the most popular research topics. For those newly developed services, identifying the object in the picture taken by the camera on the phone performs an extremely important role. So, many researches of identifying pictures have been published and most of them are based on the time consuming image recognition techniques. On the contrary, this paper introduces a very fast and effective method of identifying the objects on the photo making use of the sensor data obtained from the smart phone and electronic maps. Our method estimates the line of sight of the camera with the location and orientation information provided by the smart phone. Then it finds any element of the map which intersects the line of sight. By investigating those intersecting elements, our method identifies the objects on the photo.

• Communications of the Korean Institute of Information Scientists and Engineers
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• v.31 no.2
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• pp.54-62
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• 2013

• Journal of Scientific & Technological Knowledge Infrastructure
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• s.11
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• pp.14-27
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• 2002

이 연구는 북한 IT부문에 대한 객관적이고 충실한 정보가 절대적으로 부족한 상황에서 북한의 IT현황은 어떠한지, 김정일의 IT산업정책의 주요 내용은 무엇인지, 이러한 IT산업정책의 배경과 목적은 무엇인지에 대해 분석하는 것을 목적으로 한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.6
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• pp.1120-1127
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• 2008

This paper presents implementation of localization system using UWB (Ultra-Wide Band) sensors and its experimental results along with development of context-aware services. In order for precise measurement of position, we experimented various conditions of pitch angles, yaw angles, number of sensors, height of tags along with measuring errors at each installation. As an application examples of the location tracking system, we developed an intelligent health training management system based on context-aware technology. The system provides appropriate training schedule to a trainee by recognizing position of the trainee and current status of gymnastic equipments and note the usage of the equipment through a personal digital assistant (PDA). Error compensation on position data and moving direction of the trainee was necessary for context-aware service. Hence, we proposed an error compensation algorithm using velocity of the trainee. Experimental results showed that proposed algorithm had made error data reduce by 30% comparing with the data without applying the algorithm.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06b
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• pp.223-225
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• 2006

유비쿼터스는 인간의 일상생활에 깊이 스며들어 삶을 풍요롭게 만들어 주는 기술이다. 즉. 여러 형태의 센서가 인지하는 상황정보를 바탕으로 인간을 위한 다양한 목적을 이루어 낼 수 있다. 각각의 유비쿼터스 시스템은 각자의 구조를 가지지만 상황인지(Context-aware), 학습(Learning), 추론(Reasoning) 의 요소는 대부분 필수적으로 갖추고 있다. 본 연구에서는 위 세가지 기본요소를 조합해서 구현할 수 있는 프레임워크를 제시하고 시나리오를 통해 그 적용 가능성을 살펴본다.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.84-87
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• 2014

상황인지는 유비쿼터스 컴퓨팅 환경에서 사용자의 주변 상황을 인지하여 사용자가 원하는 서비스를 제공하기 위해 필요한 핵심 기술이다. 이러한 상황인지를 위해 여러 센서로부터 발생하는 저수준의 컨텍스트 정보를 처리하는 다양한 방법들이 존재한다. 그러나 현재 상황인지 처리에 관련된 표준 방법이 없어 서비스 도메인에 제한되고 복잡한 구현방법을 따라야 하며, 상황정보를 처리하는 시스템에 정형화된 상황정보를 제공하는데 어려움이 있다. 이에 본 논문에서는 정형화된 상황정보를 제공하기 위한 센터 데이터 변환 방법을 제안한다. 제안하는 센서 데이터의 변환 방법은 센서로부터 발생하는 저수준의 컨텍스트를 RDF 기반의 고수준의 상황정보로 변환하며, 변환된 정보는 상황인지 시스템에 제공된다.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.25 no.1
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• pp.85-105
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• 2014

The purpose of this study is to identify the factors that influence users' intention to use mobile services in academic libraries, based on the Davis' Technology Acceptance Model. This study employed both perceived usefulness and perceived ease of use, which were core variables in TAM, and added perceived playfulness that was recently applied to many researches on mobile system acceptance intention. As external variables, ubiquitous ability, context awareness, and mobile internet self-efficacy were employed. The data was collected from 325 surveys from two academic libraries and was analyzed with SPSS 18.0 and AMOS 21.0. As a result, perceived usefulness was the most significant factor in predicting users' acceptance intention and perceived ease of use was an indirect determinant of service usage. But perceived playfulness was not significantly correlated. Ubiquitous ability among external variables had a significant effect on perceived usefulness, context awareness did on both perceived playfulness and ease of use, and mobile internet self-efficacy did on perceived ease of use. Based on the findings, this study discussed theoretical and practical implications in academic library mobile service area.

• Communications of the Korean Institute of Information Scientists and Engineers
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• v.34 no.4
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• pp.20-24
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• 2016

• The Journal of Korean Association of Computer Education
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• v.13 no.6
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• pp.1-8
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• 2010

As ubiquitous computing is evolving, RFID/USN technology is largely applied to various fields. Although there has been much research on the improvement of educational environment using RFID/USN technology, there has been little research on the learning improvement using it. So, in this paper, we used RFID/USN technology to find out the location and situation of students for Chinese situation learning system. We developed a mobile RFID middleware for Chinese situation learning system reflecting Chinese characteristics compared with English on PDA. In USN environment, we designed a USN system, which gets the situation information through a sensor network with sensors and sends them for helping learners study in situation learning. We took a pilot test to a small group for the analysis of the system.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.1085-1087
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• 2021

이 논문에서는 다매체를 사용하여 데이터를 수집한 후 기계학습을 통해 분석하고 주어진 상황에 대응하기 위한 시스템의 개발을 기술한다. 개발 시스템은 센서데이터 수집부, 상황인지 및 상황대응부로 이루어지며, 아두이노와 라즈베리파이를 사용하여 구성한다. 구성된 시스템은 영상 카메라 및 온습도을 포함한 다수의 센서를 사용하여 환경정보를 수집한 후 수집자료를 전처리하고 주어진 상황을 인지하여 상황에 가장 적절하다고 판단되는 대응을 안내하도록 기능을 구성하였다. 상황인지를 위해서는 기계학습 알고리즘으로 의사결정트리를 사용하였으며 100%의 상황인지 정확률을 갖는다.