• Safety and Health at Work
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• 제8권1호
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• pp.59-66
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• 2017

Background: Despite considerable efforts made in recent years, the industrial accident rate and the fatality rate in the Republic of Korea are much higher than those in most developed countries in Europe and North America. Industrial safety policies and safety regulations are also known to be ineffective and inefficient in some cases. Methods: This study focuses on the quantitative evaluation of the effectiveness of direct safety regulations such as safety certification, self-declaration of conformity, and safety inspection of industrial machines in the Republic of Korea. Implications on safety policies to restructure the industrial safety system associated with industrial machines are also explored. Results: Analysis of causes in industrial accidents associated with industrial machines confirms that technical causes need to be resolved to reduce both the frequency and the severity of such industrial accidents. Statistical analysis also confirms that the indirect effects of safety device regulation on users are limited for a variety of reasons. Safety device regulation needs to be shifted to complement safety certification and self-declaration of conformity for more balanced direct regulations on manufacturers and users. An example of cost-benefit analysis on conveyor justifies such a transition. Conclusion: Industrial safety policies and regulations associated with industrial machines must be directed towards eliminating the sources of danger at the stage of danger creation, thereby securing the safe industrial machines. Safety inspection further secures the safety of workers at the stage of danger use. The overall balance between such safety regulations is achieved by proper distribution of industrial machines subject to such regulations and the intensity of each regulation. Rearrangement of industrial machines subject to safety certification and self-declaration of conformity to include more movable industrial machines and other industrial machines with a high level of danger is also suggested.

• 한국환경보건학회지
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• 제35권3호
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• pp.226-234
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• 2009

The main objective of this study was to evaluate the effects on shape and size, compressive strength, water absorption and heavy metals leaching with various weight mixing ratios in waste ash brick products using waste recycling MSWI(Municipal Solid Waste Incinerator) bottom ash, steel slag and waste building material. The manufacturing processes for the waste ash brick consist of screening, mixing, conveyor transmission, compaction.forming, and curing steps of raw materials. The weight mixing ratios of steel slag around bottom ash were adjusted within the ranges of 10% to 30%. The reported results show that the width and thickness of the manufactured waste ash brick could be satisfied with $90{\pm}2mm\;and\;57{\pm}2mm$, respectively which are K.S. standards of products qualities. And in case of length, only 20-Ba50Ss30, 20-Ba60Wb20 and 20-Ba50Wb30 for the mixing ratios could be satisfied with $190{\pm}2mm$ that is K.S. standards of products quality. The compressive strength and water absorption for 20-Ba50Ss30 and 20-Ba70Wb10 were over $8N/mm^2$ and below 15% respectively that are K.S. standards of manufactured waste ash brick. The results of tests for the heavy metals leaching in the all manufactured waste ash bricks are also passed to the wastes management regulations. The cost analysis of 20-Ba50Ss30 is evaluated. The manufacturing cost is evaluated 34.3 won/brick with 8 hours and 20tons of raw material per day. Incinerators with problems in bottom ash disposal can therefore derive significant benefits from the application of waste ash brick production.

• 농업과학연구
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• 제47권4호
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• pp.753-767
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• 2020

The commercial value of strawberries is affected by various factors such as their shape, size and color. Among them, size determined by weight is one of the main factors determining the quality grade of strawberries. In this study, image technology was developed to predict the weight of strawberries using the shape characteristics of strawberry cultivars. For realtime weight measurements of strawberries in transport, an image measurement system was developed for weight prediction with a charge coupled device (CCD) color camera and a conveyor belt. A strawberry weight prediction algorithm was developed for three cultivars, Maehyang, Sulhyang, and Ssanta, using the number of pixels in the pulp portion that measured the strawberry weight. The discrimination accuracy (R2) of the weight prediction models of the Maeyang, Sulhyang and Santa cultivars was 0.9531, 0.951 and 0.9432, respectively. The discriminative accuracy (R2) and measurement error (RMSE) of the integrated weight prediction model of the three cultivars were 0.958 and 1.454 g, respectively. These results show that the 2D imaging technology considering the shape characteristics of strawberries has the potential to predict the weight of strawberries.

• International Journal of Advanced Culture Technology
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• 제10권1호
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• pp.274-283
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• 2022

Korea is facing a number difficulties arising from rising housing prices. As 'housing' takes the lion's share in personal assets, many difficulties are expected to arise from fluctuating housing prices. The purpose of this study is creating housing price prediction model to prevent such risks and induce reasonable real estate purchases. This study made many attempts for understanding real estate instability and creating appropriate housing price prediction model. This study predicted and validated housing prices by using the LSTM technique - a type of Artificial Intelligence deep learning technology. LSTM is a network in which cell state and hidden state are recursively calculated in a structure which added cell state, which is conveyor belt role, to the existing RNN's hidden state. The real sale prices of apartments in autonomous districts ranging from January 2006 to December 2019 were collected through the Ministry of Land, Infrastructure, and Transport's real sale price open system and basic apartment and commercial district information were collected through the Public Data Portal and the Seoul Metropolitan City Data. The collected real sale price data were scaled based on monthly average sale price and a total of 168 data were organized by preprocessing respective data based on address. In order to predict prices, the LSTM implementation process was conducted by setting training period as 29 months (April 2015 to August 2017), validation period as 13 months (September 2017 to September 2018), and test period as 13 months (December 2018 to December 2019) according to time series data set. As a result of this study for predicting 'prices', there have been the following results. Firstly, this study obtained 76 percent of prediction similarity. We tried to design a prediction model of real estate transaction price with the LSTM Model based on AI and Bigdata. The final prediction model was created by collecting time series data, which identified the fact that 76 percent model can be made. This validated that predicting rate of return through the LSTM method can gain reliability.

• 농업과학연구
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• 제50권3호
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• pp.373-382
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• 2023

The task of sorting and excluding blemished apples and others that lack commercial appeal is currently performed manually by human eye sorting, which not only causes musculoskeletal disorders in workers but also requires a significant amount of time and labor. In this study, an automated apple-sorting machine was developed to prevent musculoskeletal disorders in apple production workers and to streamline the process of sorting blemished and non-marketable apples from the better quality fruit. The apple-sorting machine is composed of an arm-rest, a main body, and a height-adjustable part, and uses object detection through a machine learning technology called 'You Only Look Once (YOLO)' to sort the apples. The machine was initially trained using apple image data, RoboFlow, and Google Colab, and the resulting images were analyzed using Jetson Nano. An algorithm was developed to link the Jetson Nano outputs and the conveyor belt to classify the analyzed apple images. This apple-sorting machine can immediately sort and exclude apples with surface defects, thereby reducing the time needed to sort the fruit and, accordingly, achieving cuts in labor costs. Furthermore, the apple-sorting machine can produce uniform quality sorting with a high level of accuracy compared with the subjective judgment of manual sorting by eye. This is expected to improve the productivity of apple growing operations and increase profitability.

• 한국축산시설환경학회지
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• 제14권1호
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• pp.47-52
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• 2008

1. 조사농장의 산란율은 하이라인, 이사브라운 모두 $85{\sim}93%$ 수준 이였으며, 농가자체 파란율은 하이라인 $1.5{\sim}2.2%$, 이사브라운 $1{\sim}1.4%$이었다. 2. 계란 이송단계별 파란발생비율은 집란벨트 4.7%> 엘리베이터 2.5%> 선란기 1.7%> 컨베이어 0.9% 순 이었다. 3. 집란벨트에서 엘리베이터로 이송 중 계란이송가이드를 설치할 경우 약 1%의 파란경감 효과가 있는 것으로 나타났다. 4. 하이라인 브라운은 주령이 높아지면서 파란율은 높아지고, 파각력은 낮아지는 것으로 나타났으며, 회귀계수 분석 유의성은 $R^2=0.7$로 파각력의 변화가 파란율에 영향을 미치는 것으로 분석되었다. 5. 이사브라운에서는 환우 전에 비하여 환우 후 파각력이 높아진 것으로 나타났다. 6. 난각 두께와 파각력, 그리고 접촉 후 파각변위와 파각력과의 관계에서 이들 함수의 변수간에 회귀관계는 유의성이 나타나지 않았다.

• 한국시뮬레이션학회논문지
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• 제29권2호
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• pp.11-20
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• 2020

제조환경이 더욱 복잡해짐에 따라 전통적인 시뮬레이션만으로는 실시간 현장 결과를 평가하는 데 많은 어려움을 겪고 있다. 이를 극복하기 위한 대안으로 Digital Twin개념이 활발히 논의되고 있지만, 제품설계 단계에 국한되어 연구가 진행되고 있는 실정이다. 본 연구는 Digital Twin개념이 생산 공정 프로세스에 적용되기 위한 Digital Twin 기반 제조환경 프레임워크를 제시하였다. 구성요소는 실제 생산환경인 물리적 시스템과 데이터베이스, 그리고 가상 시스템인 트윈 모델을 제안하였다. 본 연구에서는 Arena 소프트웨어와 엑셀 VBA를 활용하여 컨베이어 시스템을 대상으로 간단한 Digital Twin 기반 제조시스템을 모의실험하였다. 실험결과 트윈 모델이 실제 물리적 시스템의 실시간 데이터를 전송받아 동일한 시간단위로 작동됨을 확인하였고, 엑셀 VBA에서 축적된 실시간 데이터와 학습 데이터를 기반으로 조정된 파라미터를 생성하고 있음을 확인하였다. 또한, 간단한 모의실험을 통해 Digital Twin 모델 구동 방법을 제안하였으며, Digital Twin 모델의 구현 가능성을 보여주었다.

• 자원리싸이클링
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• 제19권3호
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• pp.24-32
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• 2010

본 연구에서는 생활폐기물 전처리 시설 및 재활용 선별시설로 반입되는 필름류를 선별하기 위한 기계식 회전레이크를 개발하였으며, 성능평가 및 환경적합성 검토를 통하여 현장 적용 가능성 평가를 수행하였다. 실험결과 처리용량은 벨트컨베이어속도 38.5 m/min, 레이크 회전속도 26.0 rpm(1,2차 레이크 개수는 각각 39개, 52개, 3차 브러쉬 48개)에서 5.3 ton/hr로 설계용량인 5.0 ton/hr를 만족하였으며, 레이크 회전속도 28.0 rpm에서 필름류 회수율은 92.60%, 순도 96.50%로 매우 높게 나타났다. 본 장치에 대한 소음, 진동 및 비산먼지 농도 등에 대한 환경성 평가 결과, 환경오염법적배출허용 기준치를 모두 만족하는 것으로 조사되었다. 또한, 선별된 필름류를 대상으로 고형연료(RPF; Refuse Plastic Fuel) 제조를 통한 재활용 가능성을 평가한 결과, 발열량 약 9,740.3 kg/kcal, 염소함량 약 0.18%로 고형연료 품질기준 1등급을 만족하였다. 따라서 필름류 선별장치를 재활용 선별시설에 적용할 경우 작업량 증가 및 작업환경의 개선이 가능하고, 필름류 제거를 통한 자동화선별장치의 선별효율을 개선 할 수 있을 것으로 사료된다. 또한, 선별된 필름류를 고형연료로 제조하면 화석연료의 대체 에너지원으로서 사용 가능할 것으로 사료된다.

• 대한기계학회논문집A
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• 제36권5호
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• pp.571-577
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• 2012

본 논문에서는 우수관로부터 발생되는 퇴적토의 준설처리를 위한 소형의 이동식 준설일괄처리 시스템을 제안하고, 특히 진공사이로와 1차 선별분리기 그리고 컨베이어를 일체화하는 진공사이로 선별분리장치를 설계하였다. 진공사이로 선별분리장치는 저장조, 이송 스크류, 진공 게이트, 스크린 바, 스크린 바 클리너, 진공배출장치로 구성된다. 특히 저장조 내에서 흡입공기의 흐름은 선별분리 성능의 주요 요소임을 고려하여 CFD 유동해석을 통해 최적형상을 도출하였다. 또한 CAE 구조해석을 통해 판재로 이루어지는 저장조의 안전성을 검토하였다. 그리고 3D-CAD 모델링을 통한 구동 메커니즘의 기구적, 역학적 시뮬레이션을 수행하여 사양을 결정하였다. 본 연구에 이어서, 드럼 스크린형 2차선별기, 데칸터형 탈수장치 그리고 보조장치인 오수탱크와 펌프 등을 설계할 것이다. 그리고 본 설계를 바탕으로 시제품을 제작하고 필드테스트를 수행할 것이다.

• 한국산학기술학회논문지
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• 제20권8호
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• pp.642-648
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• 2019

본 논문은 스낵식품 가공 공정라인에서 사용하는 설비 중 하나로 이송물의 관성을 이용한 제조공정용 Fast Back 이송장치이다. 기존의 이송 장치는 벨트 컨베이어와 기계식 크랭크를 적용한 구동 장치로써 소음과 진동이 크고 환경 공해 발생하며 주기적인 유지보수가 필요하다. 이로 인해 본 논문에서는 제안하는 Fast Back 이송 장치는 크랭크식 구동장치 부분을 리니어 서보모터로 대체하고 가속에 따른 힘의 평형을 맞추기 위한 평형추 장치를 적용하여 안정된 동작을 확보하였다. 평형추 장치는 주기적으로 발생하는 충격형태의 가진력을 상쇄 시키는 것으로 진동해석을 통해 진동의 주요 원인을 파악하고 저감대책을 수립하였다. 시제품 제작을 통한 진동시험에서 약 10배 정도의 진동 저감에 대한 유효성을 검증하였다. 또한, PLC제어를 통한 전진과 후진에서의 속도, 가속도 조정을 가능하게 설계함으로써 직선형 구동력을 직접 발생시켜 별도의 기계적 변환장치가 필요하지 않아 에너지 손실이나 소음 및 진동을 발생시키지 않고 운전 속도에도 제한을 받지 않음을 증명하였다.