• International journal of advanced smart convergence
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• 제12권4호
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• pp.458-463
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• 2023

This study presents a paper on the implementation of a Raspberry Pi-based educational smart farm system. It confirms that in a real smart farm environment, the control of temperature, humidity, soil moisture, and light intensity can be smoothly managed. It also includes remote monitoring and control of sensor information through a web service. Additionally, information about intruders collected by the Pi camera is transmitted to the administrator. Although the cost of existing smart farms varies depending on the location, material, and type of installation, it costs 400 million won for polytunnel and 1.5 billion won for glass greenhouses when constructing 0.5ha (1,500 pyeong) on average. Nevertheless, among the problems of smart farms, there are lax locks, malfunctions to automation, and errors in smart farm sensors (power problems, etc.). We believe that this study can protect crops at low cost if it is complementarily used to improve the security and reliability of expensive smart farms. The cost of using this study is about 100,000 won, so it can be used inexpensively even when applied to the area. In addition, in the case of plant cultivators, cultivators with remote control functions are sold for more than 1 million won, so they can be used as low-cost plant cultivators.

• 한국인터넷방송통신학회논문지
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• 제13권3호
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• pp.71-78
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• 2013

본 논문은 스마트의류에 멀티센서를 장착하고 이를 통해 수집된 데이터를 기반으로 사용자 상황 및 행동을 추론하는 기법을 제안하고 이를 스마트폰 앱으로 구현하였다. 단일 센서로 사용자 상황 및 행동 추론은 매우 어려우며, 외 내부 환경, 온도, 진동 등에 따라 센서의 측정값이 달라지는 잡음환경에서, 잡음을 줄이면서도 사용자 행동을 판단할 수 있는 디지털 필터와 추론 알고리즘이 요구된다. 본 논문에서 EWMA과 칼만필터를 적용하고, 행동인지를 위한 3축 값을 하나의 대표 값으로 처리하는 SVM을 사용하였다.

• Structural Engineering and Mechanics
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• 제65권2호
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• pp.155-162
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• 2018

A smart glass fiber reinforced polymer (SMFRP) reinforcing bar with a fiber Bragg grating (FBG) sensor was fabricated using a pultrusion technique, while ribs were formed to improve bonding between concrete and SMFRP. Then, strain of SMFRP bars were measured for a uniaxial tension test of an SMFRP bar, and a four-point bending test of concrete beams reinforced with SMFRP bars. The results of a uniaxial tension test illustrate that the strain obtained from an FBG sensor agrees well with that obtained from electrical resistance strain gauge (ERSG). Additionally, concrete beams reinforced with SMFRP bars were fabricated, and actual flexural test were performed while the strain of with an FBG sensor was compared with that of ERSG. The experimental results demonstrate that SMFRP bars can be used as reinforcement of concrete member while providing deformation information. Furthermore, SMFRP bars may provide stronger durability and smart monitoring to reinforced concrete members under corrosive environments during a service life.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권11호
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• pp.5556-5573
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• 2017

As a main component of Internet of Things (IoTs), the wireless sensor networks (WSNs) have been widely applied to various areas, including environment monitoring, health monitoring of human body, farming, commercial manufacture, reconnaissance mission in military, and calamity alert etc. Meanwhile, the privacy concerns also arise when the users are required to get the real-time data from the sensor nodes directly. To solve this problem, several user authentication and key agreement schemes with a smart card and a password have been proposed in the past years. However, these schemes are vulnerable to some attacks such as offline password guessing attack, user impersonation attack by using attacker's own smart card, sensor node impersonation attack and gateway node bypassing attack. In this paper, we propose an improved scheme which can resist a wide variety of attacks in WSNs. Cryptanalysis and performance analysis show that our scheme can solve the weaknesses of previously proposed schemes and enhance security requirements while maintaining low computational cost.

• Journal of Electrical Engineering and Technology
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• 제7권1호
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• pp.75-80
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• 2012

In this paper, a new energy harvesting technology using stray electric field of an electric power line is presented. It is found that energy can be harvested and stored in the storage capacitor that is connected to a cylindrical aluminum foil wrapped around a commercial insulated 220 V power line. The average current flowing into 47 ${\mu}F$ storage capacitor is about 4.53 ${\mu}A$ with 60 cm long cylindrical aluminum foil, and it is possible to operate wireless sensor node to transmit RF data every 42 seconds. The harvested average power is about 47 ${\mu}W$ in this case. Since the energy can be harvested without removing insulating sheath, it is believed that the proposed harvesting technology can be applied to power the sensor nodes in wireless ubiquitous sensor network and smart grid system.

• 대한전자공학회논문지SD
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• 제45권11호
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• pp.63-70
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• 2008

본 논문에서는 MEMS 압력 센서의 스마트 센서 시스템을 구현하였다. 피에조 압력센서의 온도 드리프트 문제를 해결하기 위해 외부 환경에 맞춰 시스템이 스스로 발생 오차를 제거하는 보상 알고리즘과 이에 의해 제어되는 프로그래머블한 보정 회로를 제안하였다. 시스템은 신호처리부, 보정 회로, 온도 감지부, 그리고 마이크로프로세서 및 통신부가 SOC으로 구현되었으며, RS-232 인터페이스가 시스템의 모니터링 및 제어를 위해 사용되었다. 구현된 IC의 면적은 $4.38{\times}3.78\;mm^2$이며 $0.35{\mu}m$ CMOS 공정으로 제작되었다. $-40^{\circ}C{\sim}150^{\circ}C$ 온도 범위에서 50 KPa급 MEMS 압력센서의 온도 드리프트 보상 오차는 ${\pm}0.48%$로 측정되었다. 구현된 시스템의 전력소모는 30.5mW로 측정되었다.

• 융합신호처리학회논문지
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• 제19권1호
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• pp.28-34
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• 2018

본 논문은 적외선 온도센서를 이용한 재실인원 측정을 통한 출입자 관리 시스템, 방 내부의 움직임 파악하기 위한 PIR센서 모듈, 그리고 취침 상태를 판별하기 위한 스마트 호흡감지 모듈로 구성된다. 센싱부와 알고리즘 구동 부를 일체화 한 임베디드 형태의 센서 모듈과 통신 시스템으로 구성하였다. 고령화 사회가 가속화, 고급화됨에 따라 실버케어에 대한 사회적 비용이 증가하고 프라이버시를 보호하기 위해선 효율적인 실버케어기기 개발을 통하여 비용 감소가 필요하다. 제안된 비 영상 인체감지 IOT 센서 시스템은 하드웨어와 소프트웨어로 구현하였고 기존의 영상에 의한 감시 방법과 비교하여 우수한 성능을 확인하였다.

• 응용통계연구
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• 제34권1호
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• pp.99-114
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• 2021

반도체 제조 산업에서는 Big Data에 기초한 Smart Factory 도입과 적용이 가시화되면서 생산 공정의 각 단계에서 수집 가능한 다양한 센서(sensor) 데이터를 활용하여 공정 이상 탐지 및 최종 수율 예측 등에 다양한 분석 방법을 시도하고 있다. 현재 반도체 공정은 원료인 잉곳(ingot)에서 패키징(packaging) 작업 이전의 웨이퍼(wafer) 생산까지 500 600개 이상의 세부 공정과 이와 연계된 수천 개의 계측 공정으로 구성된다. 개별 계측 공정 내의 실제 계측 비율은 대상 제품 대비 0.1%에서 최대 5%를 넘지 못하고 계측 시점별로 일정하게 유지할 수 없다. 이러한 이유로 공정 각 단계의 정상 상태를 간접적으로 판단할 수 있는 장비 센서(sensor) 데이터를 활용하여 관리 여부를 판단하고자 하는 노력이 계속되고 있다. 본 연구에서는 장비 센서 데이터 기반의 공정 이상 탐지 프로세스를 정의하고 현재 적용 되고 있는 기술 통계량 기반 진단 방법의 단점을 보완하기 위해 FDA(Functional Data Analysis)방법을 활용하였다. 실제 현장 사례 데이터에 머신러닝을 이용하여 이상 탐지 정확도 비교를 통해 효과성을 검증하였다.

• International journal of advanced smart convergence
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• 제5권1호
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• pp.1-7
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• 2016

Recently, introduced a cloud computing technology to the IT industry, smart phones, it has become possible connection between mobility terminal such as a tablet PC. For dissemination and popularization of movable wireless terminal, the same operation have focused on a viable mobile cloud in various terminal. Also, it evolved Wireless Sensor Network(WSN) technology, utilizing a Body Sensor Network(BSN), which research is underway to build large Ubiquitous Sensor Network(USN). BSN is based on large-scale sensor networks, it integrates the state information of the patient's body, it has been the need to build a managed system. Also, by transferring the acquired sensor information to HIS(Hospital Information System), there is a need to frequently monitor the condition of the patient. Therefore, In this paper, possible sensor information exchange between terminals in a mobile cloud environment, by integrating the data obtained by the body sensor HIS and interoperable data DBaaS (DataBase as a Service) it will provide a base of mBodyCloud System. Therefore, to provide an integrated protocol to include the sensor data to a standard HL7(Health Level7) medical information data.

• 한국멀티미디어학회논문지
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• 제20권8호
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• pp.1387-1394
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• 2017

As rate in an elderly population and expanding their range of activity rapidly increase, the demographics of the elderly population on a use of transportation also rise. Elderly pedestrians often find it difficult to react promptly to the traffic accidents as they are less perceptive of the dangers present under the situation. More than half of the elderly traffic accidents are elderly pedestrian accidents in road. Therefore, we design and implement smart safety hat for safety of elderly pedestrian. The smart safety hat binds stripe-shaped LED around a hat in order for a driver to perceive pedestrian easy and quickly. Features of smart safety hat include controlling the number of LEDs by using a light sensor and warning through vibration using a sound sensor. Also, we used Bluetooth to communicate with the smartphone to enable user customization of the light and numbers of LEDs.