In this study, we have developed a movable defect detection system based on a vision module with machine-learning algorithm for distinguishing product quality. Machine-learning model determined the results in good or no good through images acquired from the vision module consisting of a camera, processor unit, and lighting. To ensure versatility for use in a variety of settings, we have integrated a robot arm and cart for the movable defect detection system, and the robot arm that adjusts the focus length is made to be able to rotate in all directions. The type of defect was divided into eccentricity defect and printing defect. As a result, it was confirmed that classification accuracy showed 0.9901 in our developed device.

This study assessed the measurement technique of odorous substances using a GC/MOS system with MOS sensor at the detector and the method detection limits were determined for odorous substances such as hydrogen sulfide, acetaldehyde, toluene, m,pxylene, and o-xylene. The portable GC/MOS system was able to separate and measure about 16 out of 22 odorous substances including sulfur compounds, aldehydes, and VOCs. The peak values for hydrogen sulfide, acetaldehyde, toluene, m,p-xylene, and o-xylene showed a nonlinear relationship with concentration and a correlation coefficient of 0.95 or higher was confirmed. The method detection limits for hydrogen sulfide, acetaldehyde, toluene, m.pxylene, and o-xylene using the portable GC/MOS system were determined to be 0.005, 0.023, 0.016, 0.004, and 0.051 ppm, respectively. It is expected that the system can measure odor samples with concentrations of least 50 ppb without additional pretreatment or concentration processes.

The role of QR Code robots in smart logistics is great. Cognitive robots, such as logistics robots, were mostly used to adjust routes and search for peripheral sensors, cameras, and recognition signs attached to walls. However, recently, the ease of making QR Codes and the convenience of producing and attaching a lot of information within QR Codes have been raised, and many of these reasons have made QR Codes recognizable as visions and others. In addition, there have been cases in developed countries and Korea that control several of these robots at the same time and operate logistics factories smartly. This representative case is the KIVA robot in Amazon. KIVA robots are only operated inside Amazon, but information about them is not exposed to the outside world, so a variety of similar robots are developed and operated in several places around the world. They are applied in various fields such as education, medical, silver, military, parking, construction, marine, and agriculture, creating a variety of application robots. In this work, we are developing a robot that can recognize its current position, move and control in the directed direction through two-dimensional QR Codes with the same horizontal and vertical sides, and the error is to create a QR Code robot with accuracy to reach within 3mm. This paper focuses on indoor mobile robot position recognition and driving experiment using QR Code during the development of QR Code-aware indoor mobility robots.

The role of QR Code robots in smart logistics is great. Cognitive robots, such as logistics robots, were mostly used to adjust routes and search for peripheral sensors, cameras, and recognition signs attached to walls. However, recently, the ease of making QR Codes and the convenience of producing and attaching a lot of information within QR Codes have been raised, and many of these reasons have made QR Codes recognizable as visions and others. In addition, there have been cases in developed countries and Korea that control several of these robots at the same time and operate logistics factories smartly. This representative case is the KIVA robot in Amazon. KIVA robots are only operated inside Amazon, but information about them is not exposed to the outside world, so a variety of similar robots are developed and operated in several places around the world. They are applied in various fields such as education, medical, silver, military, parking, construction, marine, and agriculture, creating a variety of application robots. In this work, we are developing a robot that can recognize its current position, move and control in the directed direction through two-dimensional QR Codes with the same horizontal and vertical sides, and the error is to create a QR Code robot with accuracy to reach within 3mm. This paper focuses on the driving control of indoor mobile robot during the development of QR Code-aware indoor mobility robots.

The role of QR Code robots in smart logistics is great. Cognitive robots, such as logistics robots, were mostly used to adjust routes and search for peripheral sensors, cameras, and recognition signs attached to walls. However, recently, the ease of making QR Codes and the convenience of producing and attaching a lot of information within QR Codes have been raised, and many of these reasons have made QR Codes recognizable as visions and others. In addition, there have been cases in developed countries and Korea that control several of these robots at the same time and operate logistics factories smartly. This representative case is the KIVA robot in Amazon. KIVA robots are only operated inside Amazon, but information about them is not exposed to the outside world, so a variety of similar robots are developed and operated in several places around the world. They are applied in various fields such as education, medical, silver, military, parking, construction, marine, and agriculture, creating a variety of application robots. In this work, we are developing a robot that can recognize its current position, move and control in the directed direction through two-dimensional QR Codes with the same horizontal and vertical sides, and the error is to create a QR Code robot with accuracy to reach within 3mm. This paper focuses a study on the driving directions of QR Code-aware movable robots during the development of QR Code-aware indoor mobility robots.

최근 전 세계적으로 지진 발생빈도가 급증하면서 초고층 건축물에 다양한 피해가 발생하고 있다. 특히 고층 건물에 가해지는 수평하중이 구조물의 주요 구조요소 뿐만 아니라 외부 패널의 파손으로 유리 외장재가 낙하하는 등 2차 피해가 발생할 수 있다. 이러한 문제의 심각성을 고려하여 비구조 요소에 대한 2차 손상 방지 방안을 마련하는 것이 필요하다. 본 연구에서 는 기존 건축물 외부 패널이 가진 문제점에 대하여 실대형 시험과 유한요소 해석을 토대로 구조적 성능을 분석하고 취약부를 도출하였으며, 이를 보완하기 위해 층간 분리형 커튼월 모듈과 이동형 패스너를 적용한 커튼월 모듈에 대한 유한요소해석을 수행하였다. 해석결과를 바탕으로 기존 커튼월과 비교시 구조적 안정성을 확보할 수 있는 것으로 확인되었다.

Due to global climate change, Korea is experiencing flooding and drought severely. It is hard to manage water resources because intensive precipitation during short periods and drought are commonly occurred in Korea, recently. Severe drought occurred in 2015 and 2017 in the islands, and coastal and inland areas in Korea, and the citizens experienced decreased water supply and emergency water service by using bottled water. Therefore, the Korean government provided additional governmental funds such as the grant of drought disaster. In this study, we tried to calculate the cost of water for drought response based on the cost of tap water for the regional local governments in Korea and the grant of drought disaster by the Ministry of the Interior and Safety in Korea, etc. The estimated costs of water for drought responses in coastal and inland areas which have a chance to apply alternative water sources such as brackish or seawater desalination and water reuse in Korea were higher than in other areas in Korea. Additionally, as the novel approach of drought response, the 300 m3/day-scale desalination vessel was suggested to provide desalinated water for the islands in Korea. The estimated expenses of water supply for the target island areas (Sinan-gun and Jindo-gun) by the desalination vessel was lower than those by emergency water service by using bottled water.

In this study, real-time monitoring of air quality using a real-time mobile monitoring system was conducted to identify the emission characteristics and current status of air pollutants and odorous substances that are mainly generated in domestic dyeing industrial areas and to trace the pollutant sources. The concentration of toluene in the industrial area was detected up to 926.4 ppb, which was 3 to 4 times higher than that of other industrial areas. The concentration of methylethylketone was 124.7 ppb and the concentration of dichloromethane was 129.5 ppb. Acrolein concentration was highest at E point at 521.6 ppb, methanol concentration was highest at D point at 208.8 ppb, and acetone concentration was highest at M and N points at 549.3 ppb. The most frequently detected concentration of pollutants in the air quality monitoring results in the industrial area was, in descending order, toluene > methanol > acrolein > dichloromethane > acetone, which was similar to the chemical emissions used in the industrial area by the Pollutant Release and Transfer Register data. The concentration of odorous substances measured in real time was compared with the concentration of minimum detection, and the concentration of hydrogen sulfide was about 10 times higher than the concentration of minimum detection at A point, which was judged to be the main odorous cause of A point. In the future, if the real-time mobile measurement system is constructed to automatically connect wind direction/wind speed, PRTR (Pollutant Release and Transfer Register) data and SEMS (Stack Emission Management System) data, etc., it was judged that more accurate monitoring could be performed.

목적 : 본 연구는 목욕서비스 제공자의 편의성, 업무효율성, 안전성 증진을 통한 근골격계질환 발생 위험성 예방 및 감소시킬 수 있는 이동형 목욕보조기기 개발과 이의 효과성 검증에 목적을 두었다. 연구방법 : 목욕서비스 제공자는 광역시 소재 요양병원에서 근무하는 간병인, 요양보호사 24명을 대상으로 하였다. 연구도구는 목욕서비스 제공자와 전문가집단의 의견수렴을 거쳐 개발한 이동형 목욕보조기기 프로토타입을 사용하였다. 사전평가로 Rapid Entire Body Assessment(REBA), Visual Analogue Scale(VAS)를 하였으며, 사후평가로 REBA, VAS, Korean version of Quebec User Evaluation of Satisfaction Assistive Technology(K-QUEST 2.0), 사용자의 주관적 의견을 설문조사하였다. 사용 전후의 REBA와 VAS를 비교하기 위해 t-test로 분석하였으며, 상관관계를 알아보기 위해 pearson 상 관분석을 하였다. 일반적 특성과 종속변수 간의 분석을 위해 ANOVA를 실시하였다. 결과 : 이동형 목욕보조기기 프로토타입을 사용 후 평가결과, 2가지 자세(목욕용품 사용, 샤워기 사용)에서 측정되었던 REBA 조치수준이 ‘높음’에서 ‘낮음’으로 변경되었다. 통증 정도는 보조기기 사용 후 팔을 제외한 모든 항목에서 감소되었으며 전체 평균점수는 통계적으로 유의한 차이를 보였다. 사용 후 만족도 에서는 규격과 무게를 제외한 6개 항목에서 ‘보통’으로 나타났다. 사용 전·후에 따른 종속변수들 간의 상관관계 분석 결과에서는 높은 상관성을 보이지 않았으며 일반적 특성과 종속변수 간의 통계적 유의성 은 없는 것으로 나타났다. 결론 : 본 연구에서 최종 개발한 이동형 목욕보조기기는 목욕서비스 제공자의 신체적 부담을 줄일 수 있을 뿐만 아니라 편의성, 효율성, 안전성도 증진시킬 수 있는 보조기기로서의 역할이 가능하다고 예상된다.

Mobile fish-cage was developed assuming a cage net with an enclosed area, which and estimated the hydrodynamic characteristics of the cage through the model experiment. Flux-shielding plates, installed in the bow were compared with the resistance test carried out by making a hole, bilge keel and stud, and basic block flow rate consisting of the results to a flat surface plate. The experimental results confirmed the improved resistance performance effect of 3~6% in the bilge keel and the stud form. To assess the stability of the fish-cage, evaluation of the stability in accordance with the stability criteria for determining the floating docks had confirmed that it satisfied the static stability performance under operating conditions at sea.

This study examined the effective system, which manages LPG Gas Cylinder by inserting an electronic tag or module to store a production year, material specification, charging data, management data, and warehousing data. Therefore, the user can effectively monitor the checking date, reexamining the gas cylinder (or not), and manufacture and expiration date. Moreover, through this study, the user can simply monitor a production date, warehousing data, and charging frequency by connecting a mobile app and a gas cylinder in which has an electronic tag or module at any time.

2013년 여름철 집중관측기간(장마기간: 2013년 6월 20일-7월 7일, 집중호우기간: 2013년 7월 8일-30일) 동안 이동식 기상관측시스템의 레윈존데 관측 자료를 전 지구 통합예측시스템 3차원 자료동화에 이용하여 그 효과를 살펴보았다. 효과 분석을 위한 2가지 모의실험 중 규준실험은 기존 기상청 관측 자료만 사용한 것이고 관측시스템실험은 기상청 관측 자료에 이동식 기상관측시스템의 레윈존데 자료를 추가한 것이다. 장마기간 동안 두 실험의 500 hPa 지위고도, 850 hPa 기온, 300 hPa 풍속의 관측 및 분석검증 비교 결과 큰 차이를 보이지 않았는데, 이는 고정관측소의 레윈존데 자료(0000 UTC 및 1200 UTC)만을 기준으로 검증이 이루어졌기 때문이다. 하지만, 종관기상관측시스템의 시간별 누적 강수량 자료를 이용한 강수검증에 있어서 관측시스템실험의 평균 공정임계지수가 규준실험에 비해 2% 수준으로 개선된 결과를 보였다. 특히 강수검증에서 긍정적인 효과가 나타난 사례만 비교한 경우, 관측시스템실험의 평균 공정임계지수가 규준실험에 비해 41%까지 개선된 결과를 보여 이동식 기상관측시스템 레윈존데 관측 자료가 수치모델의 예측정확도 향상에 유용함을 알 수 있었다.