• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권8호
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• pp.2910-2927
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• 2015

This study demonstrates that ease of use, usefulness, and hedonic desires affect the intention to use smart signage, based on market delimitations. Smart signage is at an early phase of adoption and its market can be divided broadly into indoor and outdoor markets. In this study, an empirical study model was established in conjunction with the technology acceptance model (TAM), which was applied to the IT area of a smart signage map and to a hedonic model. Empirical results showed that the key hedonic attributes affecting the intention to use smart signage include information delivery for the indoor environment and emotional and entertainment content for the outdoor environment. In the future, specific guidelines can be presented to boost the usage of smart signage through an empirical study based on the identification of external factors that affect usage intention.

• 반도체디스플레이기술학회지
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• 제20권3호
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• pp.184-188
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• 2021

In general, digital signage is a next-generation smart media that provides various information and advertisement services to many people indoors or outdoors using the Internet. Recently, digital signage is rapidly spreading in such a small indoor environment, that is, in an area closely related to daily life, for example, inside an elevator. However, in this kind of indoor environment where the stay time of persons is extremely limited, it would be not easy for them to keep advertisements in the user memory for a long time. In the digital signage display installed in an indoor environment, it is possible to think about the possibility for a function such as expanding the screen to a user's smartphone, which is now widely spread, to contain, store, and use the transmitted content. In this paper, we propose a method to extend the display of digital signage contents to personal smart phones with interaction function in such a limited environment. In order to make the system operation, the proposed system was verified by confirming the result of dual screen implementation in a smart phone through the prototype implementation of a digital signage system in an embedded Linux environment.

• 한국컴퓨터정보학회논문지
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• 제22권7호
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• pp.17-29
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• 2017

IRecently, researches on the recognition of indoor user situations through various sensors in a smart home environment are under way. In this paper, the case study was conducted to determine the operation of the robot vacuum cleaner by inferring the user 's indoor situation through the operation of home appliances, because the indoor situation greatly affects the operation of home appliances. In order to collect learning data for indoor situation awareness model learning, we received feedbacks from user when there was a mistake about the cleaning situation. In this paper, we propose a semi-supervised learning method using user feedback data. When we receive a user feedback, we search for the labels of unlabeled data that most fit the feedbacks collected through genetic algorithm, and use this data to learn the model. In order to verify the performance of the proposed algorithm, we performed a comparison experiments with other learning algorithms in the same environment and confirmed that the performance of the proposed algorithm is better than the other algorithms.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2018년도 추계학술발표대회
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• pp.350-352
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• 2018

In this paper, we propose a smart indoor garden aquaculture system using PIC. In the proposed smart indoor garden aquaculture system, the aquaphonics system circulates the nutrient solution of the aquarium, the filtrate tank, and the flowerpot. The automated control system that controls the state of the nutrient solution through the various sensors and controls the pump and valve is designed. As a result of the verification of the smart indoor garden aquaculture system proposed in this paper, it was confirmed that the environment suitable for the survival of fish and plants was maintained by monitoring water temperature, DO, pH measured in real time. The water level in aquarium and flower pot was controlled through automatic operation of the Electric vale and pump.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권2호
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• pp.1162-1179
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• 2017

In this paper, we propose indoor location tracking method using RSSI(Received Signal Strength Indicator) value received from BLE(Bluetooth Low Energy) beacon. Due to the influence of various external environmental factors, it is very difficult to improve the accuracy in indoor location tracking. In order to solve this problem, we propose a novel method of reducing the noise generated in the external environment by using a double Gaussian filter. In addition, the value of the RSSI signal generated in the BLE beacon is different for each device. In this study, we propose a method to allocate additional weights in order to compensate the intensity of signal generated in each device. This makes it possible to improve the accuracy of indoor location tracking using beacons. The experiment results show that the proposed method effectively decrease the RSSI deviation and increase location accuracy. In order to verify the usefulness of this study, we compared the Kalman filter algorithm which is widely used in signal processing. We further performed additional experiments for application area for indoor location service and find that the proposed scheme is useful for BLE-based indoor location service.

• Advances in Computational Design
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• 제7권4호
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• pp.321-343
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• 2022

Museum buildings display artefacts for public education and enjoyment, ensuring their long-term safety and the comfort of visitors by following strict indoor environment control protocols using mechanical Heating, Ventilation and Air Conditioning (HVAC) systems to keep the (environmental) variables at a fixed comfort level. Maintaining this requires constant supply of energy currently mostly sourced from the combustion of fossil fuels which exacerbates climate change. However, a review on the effects of the indoor environmental variables on museum artefacts as well as museum visitors revealed that there is no specific point at which artefact deterioration occurs, and that there are wide ranges of conditions that guarantee the long-term safety of artefacts and human comfort. Visits to museum buildings in hot-humid tropical climate of Nigeria revealed that strict indoor environmental practices were adopted. Even when appropriate micro-climatic conditions are provided for artefacts, mechanical HVAC systems remain necessary for visitor comfort because almost no consideration is given to natural ventilation. With the current global push towards energy management, this paper reviewed passive environmental control practices, architectural design strategies, and discusses the adaptation of double skin façade with jali screens, and the notion of smart materials, which can satisfy the range of requirements for the long-term safety of artefacts and levels of human comfort in buildings in hot-humid tropical climate, without mechanical HVAC systems. This review would inspire more discussions on passive, energy efficient, smart and climate responsible popular architecture, challenging current thinking on the impact of the more accepted representative architecture.

• 한국정보통신학회논문지
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• 제17권9호
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• pp.2167-2173
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• 2013

최근 실내 공기오염으로부터 발생되는 많은 문제점에 대한 관심이 증가하고 있으며, 실내 환경정보를 측정하여 사용자에게 사전 조치를 취할 수 있는 시스템에 대한 필요성이 점차 증대되고 있다. 이와 관련하여 본 논문에서는 휴대용 단말기, 환경 센서를 이용하여 각종 실내 환경정보를 측정할 수 있는 근거리 무선통신을 이용한 실내 환경정보 모니터링 시스템을 설계하고 구현하였다. 제안하는 시스템은 사용자의 휴대 단말기로 센서노드가 설치되어 있는 실내 환경 정보를 사전 인지하고, 위험 요소가 인지될 경우 적절한 대비를 취할 수 있는 장점이 있다.

• 문화기술의 융합
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• 제8권6호
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• pp.899-904
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• 2022

본 세계적으로 출생률이 줄고 기대 수명이 늘어나 고령화 사회가 되어감에 따라 고령 인구의 건강 관리를 위한 시스템이 필요하다. 그 중 실내 건강 관리를 위한 스마트 홈 캐어 서비스를 위해서는 재실 여부 및 활동 유형에 관한 다양한 연구가 수행되고 있다. 본 논문에서는 스마트 홈 캐어 서비스를 위해 실내 온습도, CO2, 미세먼지 값과UWB 레이더 측위를 통해 재실 여부 뿐만 아니라 활동 유형을 분류하는 랜덤 포레스트 모델을 제안한다. 실험은 실내 온습도, CO2, 미세먼지를 측정하는 센서 3개와 UWB Radar 2개를 사용하여 2초 간격으로 실내 환경 및 재실자의 측위 데이터를 측정한다. 측정된 데이터는 이상치와 결측치를 보정 처리한 후 80%의 트레이닝 셋 데이터와 20%의 테스트 셋 데이터로 이분하며 랜덤 포레스트 모델을 적용하여 중요도 상위 변수 목록, 정확도, 민감도, 특이도, T1 스코어를 평가한다.

• 인간식물환경학회지
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• 제24권2호
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• pp.179-194
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• 2021

Background and objective: Plant-based biofilter system has become a promising candidate for improving indoor air quality due to its eco-friendly and sustainable nature. However, it remains controversial whether indoor air purification using a biofilter is effective. Methods: This study used the one-group pre- and post-test design to analyze the effects of the operation of the plant-based biofilter system on indoor air quality, students' perception of indoor air quality, health effects, and subjective and objective attentiveness. Results: Results of this study show that the application of the plant-based biofilter system changed the air environment in the classroom. The operation of the plant-based biofilter system significantly decreased PM_2.5 and PM₁₀ and slightly increased temperature and humidity. Satisfaction with air quality and subjective attentiveness were significantly improved but objective attentiveness and health effects were not improved. Conclusion: Further studies need to be conducted for improving indoor air quality of schools and evaluating the health effects and attention of occupants to present the objective performance of the plant-based biofilter system.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권9호
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• pp.4408-4428
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• 2019

Due to the rapid advancement in smart phones, numerous new specifications are developed for variety of applications ranging from health monitoring to navigations and tracking. The word indoor navigation means location identification, however, where GPS signals are not available, accurate indoor localization is a challenging task due to variation in the received signals which directly affect distance estimation process. This paper proposes a hybrid approach which integrates fingerprinting based K-Nearest Neighbors (K-NN) and lateration based MinMax position estimation technique. The novel idea behind this hybrid approach is to use Euclidian distance formulation for distance estimates instead of indoor radio channel modeling which is used to convert the received signal to distance estimates. Due to unpredictable behavior of the received signal, modeling indoor environment for distance estimates is a challenging task which ultimately results in distance estimation error and hence affects position estimation process. Our proposed idea is indoor position estimation technique using Bluetooth enabled smart phones which is independent of the radio channels. Experimental results conclude that, our proposed hybrid approach performs better in terms of mean error compared to Trilateration, MinMax, K-NN, and existing Hybrid approach.