• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2022년도 추계학술대회
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• pp.198-200
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• 2022

본 논문에서는 다양한 서비스가 존재하는 스마트시티에 IoT 표준기술을 적용하여, 다양한 센서 및 데이터를 통합 관리할 수 있는 플랫폼 개발에 대해 설명하고자 한다. 플랫폼 개발을 통해 여러 데이터를 통합하여 관리하고, 수집된 데이터를 서비스에 맞춰 가공할 수 있도록 구조를 설계하였다. LwM2M 표준 기술을 기반으로 플랫폼을 설계하여, 다양한 기기를 수용할 수 있는 기능을 제공할 수 있다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2018년도 추계학술대회
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• pp.116-118
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• 2018

oneM2M 글로벌 IoT 표준 미들웨어 플랫폼을 활용한 스마트시티 서비스 데이터 모델 지원 및 FIWARE NGSI 기반 Orion Broker 연동 개발 사례를 소개한다. 또한 flexContainer 리소스 타입을 활용한 서비스 데이터 모델 개발 및 oneM2M 릴리즈 3에서 공개된 Interworking Framework (TS-0033) 기반의 FIWARE NGSI 인터페이스 연동 개발 내용을 소개한다. 이를 통해 기존 contentInstance 리소스 타입 기반대비 데이터 모델 엘리먼트에 대한 직접 엑세스를 통한 구독/통지 기능을 활용할 수 있고 Interworking Framework을 활용한 FIWARE NGSI 인터페이스 연동을 표준 기반으로 구축하여 서비스 종속성 없는 스마트시티 플랫폼 간 데이터 연동을 구축할 수 있다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권9호
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• pp.2377-2398
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• 2023

In our daily lives, we engage in a variety of tasks that rely on our senses, such as seeing. Blindness is the absence of the sense of vision. According to the World Health Organization, 2.2 billion people worldwide suffer from various forms of vision impairment. Unfortunately, blind people face a variety of indoor and outdoor challenges on a daily basis, limiting their mobility and preventing them from engaging in other activities. Blind people are very vulnerable to a variety of hazards, including falls. Various barriers, such as stairs, can cause a fall. The Internet of Things (IoT) is used to track falls and send a warning message to the blind caretakers. One of the gaps in the previous works is that they were unable to differentiate between falls true and false. Treating false falls as true falls results in many false alarms being sent to the blind caretakers and thus, they may reject the IoT system. As a means of bridging this chasm, this paper proposes an intelligent shoe that is able to precisely distinguish between false and true falls based on three sensors, namely, the load scale sensor, the light sensor, and the Flex sensor. The proposed IoT system is tested in an indoor environment for various scenarios of falls using four models of machine learning. The results from our system showed an accuracy of 0.96%. Compared to the state-of-the-art, our system is simpler and more accurate since it avoids sending false alarms to the blind caretakers.

• Asian Journal of Innovation and Policy
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• 제9권2호
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• pp.187-206
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• 2020

Under the on-going evolution of the COVID-19 pandemic, estimating the economic impact of the pandemic is highly uncertain and challenging. This situation makes it difficult for policymakers, governors, and economic entities to formulate appropriate responses and decision makings. To provide useful information about the effect of the COVID-19 pandemic on the Korean economy, this study examined macroeconomic impact analysis stemming from the pandemic shocks with different scenarios for the Korean economy. Based on three scenarios using the growth rate of 2020 GDP and consumer expenditure patterns, the 2021 GDP by industry sector was forecast with two new approaches. First, the recovering process of the Korean economy from the shock was analyzed by applying a Flex-IO method. Second, a new forecasting approach combined with an IO coefficient matrix was applied to forecast the future GDP changes. The findings of this study are summarized as follows: First, the total GDP growth rate under the Pessimistic Scenario demonstrates less rebound from the shock than that of the Base Scenario. Second, agriculture, culture, and tourism-related sectors that are suffering from the severe losses of COVID-19 showed lower resilience than other different industries. Third, information and communications technology (ICT) industry maintains a stable growth trend and is expected to take the leading role for the Korean economy in the post-COVID-19 and the Industry 4.0 eras. The findings deliver that it needs to analyze how government expenditure responding the shock into the forecasting model, which can be more useful and reliable to simulate the resilience from the pandemic.