• Annual Conference of KIPS
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• 2017.11a
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• pp.1246-1249
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• 2017

사물인터넷(IoT)은 인터넷을 통하여 사물들이 연결되고 이를 기반으로 다양한 서비스를 제공할 수 있는 미래 인터넷 기술로서 미래 초연결 사회를 가능케 하는 기술로 부각되고 있다. 따라서 본 논문에서는 IoT기술을 활용하였으며, 다양한 센서를 이용한 실내의 상황을 모니터링 할 수 있고, 위기 상황 발생 시 신속한 대응을 가능하도록 하며, 적합한 실내 환경을 자동 제어 및 원격 제어 함으로써 쾌적한 환경을 유지하여 건강 유지에 도움을 주기 위한 것이다. 이를 위해 앱 제작 및 오픈소스 하드웨어인 아두이노와 라즈베리파이를 사용하였으며, 라즈베리파이에서 Apache Web Server를 열어 MySQL을 통해 데이터를 저장 및 송 수신한다.

• Annual Conference of KIPS
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• 2015.10a
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• pp.569-571
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• 2015

본 논문에서는 IoT(Internet of Things) 표준 프로토콜인 IETF(Internet Engineering Task Force) CoAP(Constrained Application Protocol)을 이용한 실내 자원 제어 구조를 제시한다. 제안한 웹 기반 실내 환경 제어 구조에서는 웹 서버에 프록시(proxy)와 자원 디렉토리(RD : Resource Directory) 기능을 포함하고 있다. 이를 통해 CoAP 프로토콜을 통해 저전력, 소규모의 노드를 웹 서버에 등록하고, 프록시의 HTTP과 CoAP 메시지 변환 기능을 이용하여 사용자가 웹브라우즈를 이용하여 실내 환경을 제어할 수 있다.

• Annual Conference of KIPS
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• 2019.05a
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• pp.26-28
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• 2019

Parse Server는 오픈소스 백엔드 서비스를 제공함으로 IoT 최적의 서비스 플랫폼이며, 개발자에게 프론트 엔드 개발 집중이 가능하도록 일련의 도구를 제공한다. 본 논문에서는 교육용 활용 사례 개발을 위해 Parse Server를 오픈소스 기반의 게임과 연동하여, 게임 랭킹 서비스 시스템 구현을 통해 IoT 시스템 프로그래밍 교육 콘텐츠로의 가능성 확인을 목표로 한다. 구현 결과는 게임 랭킹의 변화를 Parse Dashboard를 통하여 확인하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.149-150
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• 2019

최근 스마트 기기의 발달과 IoT(Internet of Things, 사물인터넷)기술이 빠르게 발전하면서 센서를 활용한 플랫폼 및 서비스 시장 규모가 급격하게 확대되고 있다. 본 논문에서는 헬스케어 건강걷기 게임콘텐츠에 비콘을 이용하여 서비스 이용자와 제공자 모두에게 만족과 가치를 부여할 수 있는 맞춤형 마케팅 설계 전략을 제안하고 4차 산업 시대에 맞는 신기술을 이용하여 정확한 통계정보를 얻어 내는 것을 목표로 한다. 본 연구의 결과를 활용하여 다양한 영역 및 방법으로 확장 가능성이 큰 마케팅 설계가 가능할 것으로 기대한다.

• Journal of Food Hygiene and Safety
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• v.34 no.6
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• pp.542-550
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• 2019

To detect Escherichia coli from agri-food and production environments, a device based on IoT (internet of things) technology that can check test results in real time on a mobile phone has been developed. The efficiency of the developed device, which combines an incubator equipped with a UV lamp, a high-resolution camera and software to detect E. coli in the field, was evaluated by measuring the device's temperature, detection limit, and detection time. The device showed a difference between its programmed temperature setting and actual temperature of about 1.0℃. In a detection limit test performed with a single-colony inoculation, a color change to yellow and a florescent signal were detected after 12 and 15 h incubations, respectively. The incubation time also decreased along with increasing bacteria levels. When applying the developed method and device to various samples, including utensils, gloves, irrigation water, seeds, and vegetables, detection rates of E. coli using the device were higher than those of the Korean Food Code method. These results show that the developed protocol and device can efficiently detect E. coli from agri-food production environments and vegetables.

• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.8
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• pp.55-64
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• 2017

In this paper, we propose and implement an IoT based mobile smart monitoring system in the view point of safety inspection for solar power generation. The main features and contributions of proposed system are as follows. First, the proposed system model can evaluate periodically in the view point of safety inspection the conditions of the system and structure of solar power generation. Second, the proposed system automatically re-processes the measurement data of the system and structure for solar power generation and save it into database. Third, using the re-processed and saved information, the proposed system can provide the monitoring information with webpage form to both administrator and owner of solar power generation system, thus they can measure and confirm directly in the view point of safety inspection the conditions of the solar generation structure without visiting those places. Fourth, the provided web pages for the monitoring of solar power generation can be accessed regardless of the system structures. The performance evaluations of the proposed system show that the proposed monitoring system can save efficiently the data received from the sensors installed in the structure of solar power generation into the data base in the collecting server. And the proposed system can support that both administrator and user of solar power generation system access webpage in real time without considering places by using mobile phone and desktop computer and obtain the information for the conditions of the system and structure of solar power generation with graph forms.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.23 no.4
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• pp.37-53
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• 2024

This study selected bicycle road hazard detection factors for mobile IoT sensor device operation and developed service application plans. Twelve bicycle road hazard detection factors were derived through a focused group interview, and a fuzzy AHP-based importance analysis was conducted on 30 road and transportation experts. As a result, 'damage to pavement' (1st overall) and 'environmental obstacle' (2nd) with low visibility but a high risk of accidents were selected the most. The factors in terms of facility management, such as 'disconnected route occurrence' (4th), 'artificial obstacle' (5th), 'effective width' (6th), and 'poor drainage' (7th), were selected as the upper and middle areas. Factors that are not direct accident-inducing factors, such as 'loss of road markings' (11th) and 'free space width' (12th), were selected the least. Based on this, a plan was presented to apply the bicycle road hazard detection service and a service operation strategy according to real-time performance. Nevertheless, follow-up studies, such as human behavioral analysis based on bicycle operators, analysis according to the bicycle road type, service demonstration, and pilot operation, will be needed to develop safe bicycle road management is expected.

• The Korean Journal of Food And Nutrition
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• v.18 no.1
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• pp.4-10
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• 2005

Periodate-oxidized soluble starch increased pH stability of Aspergillus awamori a-glucosidase. After incubation for two hours, the enzyme in the absence of oxidized soluble starch was stable in the range of pH 3-7 at 40℃, pH 3-6 at 50℃ and the enzyme in the presence of oxidized soluble starch was stable in the range of pH 3-9 at 40℃, pH 3-8 at 50℃. At 60℃, the enzyme was stable in pH 3-6 regardless of the presence or absence of IO₄-oxidized soluble starch, but when IO₄-oxidized soluble starch existed in pH 5-6, remained activity of the enzyme increased 20% more than when it didn't exist. The enzyme modified with IO₄-oxidized soluble starch remained 70% of activity in pH 9, but native enzyme didn't remain, showing the increase of stability due to modification. In thermal stability, modified enzyme remained 12% at 50℃ and 7% at 80℃. But native enzyme remained 8% at 50℃ and didn't remain at more than 70℃. The result of HPLC analysis revealed the subunit of the enzyme at under pH 2 or over pH 9 was separated or the enzyme was denatured and conjugated. Protein structure of native enzyme was denatured by acidic and basic pH but was stable in the presence of IO₄-oxidized soluble starch.

• The Journal of Korean Association of Computer Education
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• v.18 no.6
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• pp.81-88
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• 2015

Along with advent of Web 3.0 era and advanced technologies of IoT(Internet of Things), massive amounts of information are generated. Reflecting this trend, this paper developed a semi-automatic construction tool for named entity dictionary based on active learning. Our proposed method chose error candidates to verify among the preliminary results using initial trained model and re-trained the model for correctly labeled data by user. We adopt active learning approach for minimizing human effort utilized metadata features of Wikipedia. Based on experimental results using our tool, we show that 68.6% errors were automatically corrected.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.07a
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• pp.73-74
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• 2016

IoT 데이터는 비정형 데이터로 가공되고 분석하였을 때 비로소 가치를 갖기에 전 세계적으로 빅데이터 기술에 관심이 집중되고 있다. IoT 데이터 중 많은 부분을 차치하는 센서 데이터는 수집이 용이하고 활용범위가 넓기 때문에 여러 분야에서 사용되고 있다. 하지만 센서가 정상적으로 작동하지 못한 경우에는 실제와는 다른 값인 이상치를 포함하여 왜곡된 결과가 도출되어 활용할 수 없는 경우가 생긴다. 따라서 본 논문에서는 정확한 결과를 도출하기 위하여 수집된 원자료의 데이터를 분석하기 전에 이상치 탐지 및 제거를 하고자 한다. 또한 점점 늘어나고 있는 대용량 데이터를 신속하게 처리하기 위하여 메모리 접근방식인 스파크를 사용한 분산처리환경에서 이상치 탐지 및 제거하는 것을 제안한다. 맵리듀스 기반의 이상치 탐지 및 제거는 총 4단계로 나누어 구현하였으며 제안한 기법의 성능 평가를 위해 총 3가지 환경에서 비교하여 실험하였다. 실험을 통해 데이터의 용량이 커질수록 분산처리환경에서 스파크를 사용하여 처리하는 방식이 가장 빠를 것 이라는 결과를 얻었다.