• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.397-399
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• 2021

The increase in single-person households and the development of Home IoT technology make it important to improve the convenience of the residential environment. In addition, the increase in indoor activities caused by COVID-19 calls for the development of products to make life more convenient for single-person households. This trend of increased indoor activity has made it easier to interact with the current residential environment than before, and as a result, the need to develop technology for Home IoT is emerging. Therefore, the Home IoT system will be developed to monitor the information needed to maintain an ideal indoor environment such as temperature, humidity, and fine dust. The system will also interact with users, and propose a system that improves safety in indoor activities by equipping the home with IoT sensors for preventing safety accidents such as gas leakage and fire.

• The Journal of Society for e-Business Studies
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• v.24 no.2
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• pp.143-163
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• 2019

The purpose of this study is to identify acceptance factors and influencing factors of respondents' adoption of smart IoT technology to companion animal health based on the integrated technology acceptance model. Based on the previous studies, we constructed the hypotheses by defining the technical factors, social factors, control variables, and mediating variables (UTAUT), and set the hypotheses between the independent variables of each factor and the dependent intention. A research model was designed to verify the relationship between variables. We developed questionnaires on the items and verified them through data collected from 494 people. As a result, product design, quality of service, product performance, and quality service of technological factors had a significant effects on performance expectancy and effort expectancy. However, product safety, product function awareness, and product price did not significantly affect performance expectancy and effort expectancy. Social influence had significant effects on cognitive effect, welfare system, and welfare facilities. In conclusion, the comparative analysis of technical factors and social factors showed that social factors have more significant effects on welfare systems and facilities.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2016.11a
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• pp.182-183
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• 2016

최근 UHDTV 방송의 대두와 함께 방송 부가 서비스에 대한 관심이 높아지고 있다. ATSC 3.0, HbbTV, IBB 등 각 방송 표준 기구로부터 부가서비스에 대한 표준이 공표되고 있으며, 이 표준들은 공히 Companion Screen에 대한 내용을 포함하고 있다. Companion Screen은 사용자가 TV를 통하여 시청하고 있는 컨텐츠에 대한 부가 정보를 사용자의 스마트폰/태블릿으로 표시할 수 있어 방송 기반의 개인화 서비스 구현방법으로 각광받고 있다. 본 논문에서는 이러한 Companion Screen과 IoT 기기의 연동을 통한 서비스 구성 방법을 제시한다. IoT는 최근 급격한 발전을 거듭하고 있으며 다양한 제품군의 출시도 지속적으로 이루어지고 있다. 이러한 IoT를 Companion Screen과 연계하여 활용함으로써, 방송과 통신을 연계하는 신규 서비스의 구성이 가능할 것으로 예상된다. 본 논문에서 제시하는 서비스 구성 기법은 방송에 내제된 부가 정보 기반의 IoT 제어를 Companion Screen을 통하여 구성할 수 있도록 한다.

• Journal of the HCI Society of Korea
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• v.12 no.4
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• pp.57-64
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• 2017

The user-centered design paradigm shift and the emergence of user-experience design have also increased the importance of user experience with products and services in specific spaces. In addition, with the advent of IoT services, new changes in the future work environment are expected. This study aims to propose a new user experience design considering the context of future work space. First of all, we examined the concept and nature of IoT, and defined various factors that affect the future work environment and grasped the relation of each element. Next, user research in the current work environment was conducted to identify the context that affects the behavior of users in various types of work environments, and to insight the possibility of a new user experience in the future work environment. Based on the above analysis and insights, various context models for a new future work environment were constructed, and UX models and UX scenarios and alternatives were presented. This study will contribute to the diversity of UX design research by expanding the viewpoint of UX design from device to space and context, and it will contribute to the collaborative research with space design and service design, also interdisciplinary research with IoT service related field.

• Journal of Digital Convergence
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• v.15 no.5
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• pp.217-223
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• 2017

With the development of sensor networks and Internet of Things (IoT) technology, personalized context information has been collected and customized services can be provided to related users. Currently, the context information system is at the level of analyzing and recognizing user specific behavioral characteristics and generating events.In the IoT environment, IoT products themselves should provide the required services with minimal user intervention, rather than acting for a specific purpose. In this paper, to minimize the user intervention in the IoT environment, we implemented an automatic attendance recognition system using context information from the ECG based on beacon. Environment of provided specific Context information, we compared and analyzed the degree of user intervention among the authentication method using ECG sensor in this paper and the existing authentication method. As a result of the analysis, we confirmed that the system implemented in this paper minimizes user intervention.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.10
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• pp.1912-1921
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• 2015

In this paper, we introduce a testbed for testing the RF energy transfer technology in the Internet of Things (IoT) environment, and provide experimental results obtained by using the testbed. The IoT environment considered in this paper consists of a power beacon, which is able to wirelessly transfers energy via microwave, and multiple sensor nodes, which makes use of the energy received from the power beacon. We have implemented the testbed to experiment the RF energy transfer in such IoT environment. We have used off-the-shelf hardware components to build the testbed and have made the tesbed controlled by software so that various energy and data transmission protocol experiments can easily be conducted. We also provide experimental results and discuss the future research direction.

• Convergence Security Journal
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• v.21 no.1
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• pp.79-92
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• 2021

In a society where ICT technology is converged, the use of various network-connected devices such as IoT is spreading. Network-connected devices are inevitably exposed to the threat of hacking such as information leakage, and countermeasures need to be prepared to respond. Security certification system for IoT devices has been introduced to promote security of IoT products, and for this purpose, legalization and standardization of certification standards and methods are in progress. In line with this, in Korea, as the Information and Communication Network Act was revised in 2020, ICT convergence devices connected to the network were newly defined as "information and communication network connected devices," and the basis for the security certification system is being established. We summarized related domestic and foreign trends and suggest specific considerations for implementing the security certification system for IoT devices in South Korea.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.553-555
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• 2017

수전 설비 시스템은 전력 회사에서 3 상 전원을 받는 설비로, 전기를 공급받기 위한 설비이다. 정전이나 제품생산설비의 중단은 기업에 있어서는 경제적 손실이 매우 큰 사고일 수 밖에 없다. 요즘은 IoT 센서를 이용한 수전설비 관리 시스템의 활용이 늘어나고 있는 추세이다. IoT 센서를 이용한 수전 설비의 구축에서 정확한 상태 값의 센싱과 수집된 값의 전송, 그리고 정확성 판단에 대한 이슈들이 고려되어야 하며, 또한 기기간 통신을 통해 실시간 상호작용으로 수전설비의 고장을 어떻게 예방할 것인가에 대한 것이 중요하다. 본 연구에서는 수전 설비의 실시간 감지와 모니터링을 위한 목적으로 기존의 고장 및 오류 정보를 기반으로 하는 빅데이터 분석을 통해 발생 가능한 고장 및 오류를 사전 예측할 수 있도록 정보를 제공하는 것에 주안점을 두었다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.01a
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• pp.67-70
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• 2017

빅데이터는 인터넷의 발달로 인하여 규모를 가늠할 수 없을 정도로 많은 양의 정보가 생산되어지는 데이터를 말한다. 빅데이터를 활용하는 다양한 사례 중 기업에서 활용된 사례로 사람들의 구매데이터를 분석하여 개인의 구매 취향을 분석한 뒤 구매자가 원하는 제품을 빠르게 안내하는 시스템이 있으며, 정부에서 빅데이터를 활용된 사례로는 사회복지 자금이 대상자들에게 제대로 지급되고 있는지 판단하여 부정수급자를 원천봉쇄 하는 시스템이 있다. 이처럼 빅테이터가 인간의 삶에 긍정적인 영향을 주는 등 다양한 분야에서 활용되고 있는데 본 논문에서는 빅데이터를 이용한 IoT의 활용사례를 알아보고, 긍정적 사례와 부정적인 활용사례를 분석한 뒤 그 발전방향에 대해 제시하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.238-241
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• 2019

본 연구에서는 사회인들의 정해진 패턴을 IoT를 기반으로 AI 기술을 활용하여 Deep Learning 기술을 적용하여 행동패턴을 자동으로 시스템에 업로드 한다. 업로드된 데이터는 Deep Learnig 기술을 통해 유의미한 데이터를 추출하고 이를 각종 가전제품에 제공한다. 데이터의 정합도를 높이기 위해서 초기 데이터는 사용자가 입력한 정해진 생활 패턴을 바탕으로 하며 가우시안 분포를 따르는 난수를 생성하여 training data set으로 사용하여 실제 학습에 적용시켰다. 실생활에서 자동으로 데이터를 활용하기 위해서 IoT기기를 연결하여 AI 학습을 진행하였다. 사회인들은 이 시스템을 통해 집에 들어올 때와 집 밖에 외출할 때 댁내에 있는 편리한 서비스를 제공받을 수 있다.