Recently, an international issue due to the discharge of contaminated water from the Fukushima has been highlighted. Since the Fukushima nuclear power plant accident in japan, marine environmental radioactivity survey has been strengthened with increased sampling frequency and range for seawater in territorial waters. And a stationary underwater radiation monitoring system including floating equipment-based system such as oceanographic buoys, tidal stations have been deployed on-site to detect abnormal radiological events. However, stationary monitoring systems may be insufficient for the early detection of abnormal radioactivity over a wide area, since it is a passive way of waiting for radioactive materials to spread in the ocean. So, our team developed a ship-mounted seawater gammaray monitoring system that can be operated remotely and in real time. In this study, it includes a detailed description of the design, installation, monitoring method, and operation of the system.

This study was carried out to develop the technology to manage the growth management of mushroom which was cultivated by long-term knowledge based on the quantified data. In this study, it was developed hardware to monitor and control the growth environment of mushroom cultivation house and an algorithm to automatically grow mushroom. Environmental management for the growth of mushrooms was made possible by cultivation sites, computers and smart phones. In order to manage the environment of mushroom cultivation house, environmental management data of farmers cultivating the highest quality mushrooms in Korea was collected, and a growth management database was created based on the collected data. The management environment for the mushroom cultivation was controlled at ±0.5 °C for temperature, 7 % for upper limit and 3 % for lower limit for relative humidity, and ±10% level for carbon dioxide concentration based on database value. As a result of cultivating mushrooms in such an environment, it was possible to produce mushrooms at almost the same level as those cultivated in farms with the best technology. Therefore, it was considered that the environmental management of the mushroom house managed by the technology based on the long experience could be managed based on the sensor data.

It is necessary to monitor growth status of the crops due to continuous change of climate causing insecurity in crop cultivation. Low altitude remote sensing(LARS) system is utilized to accurately monitor the growth status of the crops. In this study, models for monitoring fresh weight(FW), one of the major growth factors of Chinese cabbage, were developed with structural indices and simple ratio calculated from bands in remotely sensed canopies by NIR, RE(imaging sensor A) and multispec-4c sensors(imaging sensor B) equipped with fixed-wing UAV depending on vegetation stages of normal planting(NP) and delayed planting(DP) Chinese cabbages. In results of imaging sensor A, the estimation models using structural indices and simple ratio were divided into NP and DP due to different attribute of reflectance in canopies with changed environment condition depending on different planting dates. The estimation models using simple ratio calculated by red edge and visible bands of NP showed better performance than other models, but RMSE was high. The models using simple ratio calculated by same bands of DP were feasible to accurately estimate FW(R2 of more than 0.946 with RMSE of less than 169.5 g). In results of imaging sensor B, the estimation models using structural indices and simple ratio on DP were divided into low to intermediate FW and intermediate to high FW. As a result, estimation models of all structural indices and simple ratio in low to intermediate FW bands were advisable to estimate FW(R2 of more than 0.860 with RMSE of less than 104.7 g). Estimation models of those calculated by red edge and visible bands in intermediate to high FW were only possible to accurately estimate FW(R2 of more than 0.532 with RMSE of less than 400.7 g).

PURPOSES : Efficiency Improvement of a public road construction project management work using the development of a real-time remote site monitoring system METHODS : In this study, we developed the remote site monitoring system using a web camera for road construction projects in the RCMA(Regional Construction Management Administration). We can be monitored a construction progress and a weak point of the situation in real time using this. To achieve this, we tested about 10 road construction projects ordered by RCMA. Then, we verified a applicability for the site monitoring system in future. RESULTS : Take advantage of the remote site monitoring system consists of the Construction CALS System, one of the business systems used in the part of the MLTM(Ministry of Land, Transport and Maritime Affairs) institution-agencies. Was configured to be served through the "Construction CALS System" of "Construction Management System(Contractors)" and the "Construction CALS Portal System". Through this, Benefit analysis through a pilot application of the 10 road construction sites and developing considerations and "Guide for visual information processing equipment installation-operating in construction sites"are presented. CONCLUSIONS : Through the establishment of remote site monitoring system can improve the efficiency of construction management services. In addition, Various disasters and calamities, accidents and illegal construction will be prevented in advance is expected. This is expected to further improve the quality of the facilities.

오늘날, 스마트폰의 보급으로 무선 헬스케어시스템에 대한 연구가 점차 활성화됨에 따라, 손쉽고 간편한 건강관리 시스템에 대한 수요도 증가하고 있다. 그 중에서도 사회문제로 크게 대두되는 독거노인의 고독사 방지를 위한 시스템 개발은 지속적으로 연구되고 있다. 본 논문에서는, 인체에 비침습적이며 무구속으로 생체 신호 계측이 가능한 광용적맥파법(photoplethysmography)으로 독거노인의 맥파를 계측하고 스마트 폰으로 전송하여, 원격진단이 가능한 감시시스템 개발을 목적으로 하였다. 광용적맥파법은 적색광이나 적외선광을 피부에 침투시켜 맥파를 검출하는 방법의 하나로 근래에는 손가락과 같은 인체 말단뿐만이 아니라 손목에서 맥파를 계측하는 연구가 진행되고 있다. 그러나 손목에서 맥파를 계측 시, 광량을 고정시킨 상태에서는 모세혈관의 회전이나 피부의 두께 등에 따라 정확한 맥파 검출을 하기에는 어려움이 있다. 따라서 본 연구에서는 잡음제거에 탁월하며 높은 이득을 가지는 차동 증폭기를 단일전원에서도 동작 가능하도록 개선하고, 인체의 피부 두께에 따른 오차를 줄이기 위해 광량의 침투 범위를 조절하여 다양한 피부 층에서 최적의 센싱을 할 수 있는 알고리즘을 설계하고 그 타당성을 확인하였다.

At this study, we are developing a possible control system through remote monitoring for fire protection in various chemical factory facilities. It's possible to do real time confirmation of a normal operation presence of the various equipment installed in a chemical factory through the internet network at a fire fighting head office, an area fire department and a chemical factory situation room using this remote monitoring control system. When occurring, abnormal operation is the remote monitoring control system, which can check this immediately and notify the situation room administrator. After it was tested using developed remote monitoring control system, the remote monitoring for which the internet network was used confirmed possible.

국민소득 증가에 따라 고급해산물의 수요가 늘어나고 있으며, 어패류 및 해조류를 포함하는 양식어업은 국내어업에 대한 총수입중 50.6%를 차지하고 있는 어가의 주 소득원 중의 하나이다. 최근 국내어장에서 불규칙하게 발생하는 어패류 도난사건의 피해액은 매년 건당 수십만에서 수천만원 이상으로 증가하고 있는 실정이다. 본 연구에서는 국내 영세어가에 적용할 수 있는 양식어장 보호를 위한 레이더 감시시스템의 모델을 제안하고, 시스템의 구축방안을 제시하였다. 국외에서 양식어장보호 감시시스템이 개발된 바가 있지만 구축비용이 고가이므로 국내 영세어가에 적용하기에는 어렵다.

Nowadays advanced manufacturing companies are trying to find a way to check the performance of their production equipments and plants from remote sites. However, it is hard to monitor the status of machine or to check the performance of the processes because the regional limitation of distributed environment. This paper presents research results in the real time monitoring of machining processes and internet_based operation of machining centers via internet, which is implemented using VRML and JAVA.

The purpose of this study is able to prevent accidents as users will tell you in real time the long distance is to the safety inspection of various structures using a 3D scanner therefore, it is possible to use civil engineering structures, such as building structures

This paper presents a remote monitoring and simulation system for a building cleaning mobile robot. It provides a tool of convenient 3D graphical map construction including network camera image viewer and status information of the robot. The 3D map is reconstructed from existing 2D building CAD data with DXF format using OpenGL graphic API. Through this system, it is possible to monitor and control the cleaning mobile robot from remote place. A practical experiment is performed to show the reliability and convenience of the monitoring system. The proposed system is expected to give efficient the way of control and monitoring to building cleaning mobile robot.