In this study, we focus on the feasibility of structural topology optimization for a steel-timber composite beam design of optimally allocating glue-laminated timbers into a web with openings under the condition of given steel flanges. The motivation of this study is to topologically take maximal stiffness harmonizing both tension and compression performance of the steel-timber composite beam and become the eco-frandly timber design for buidling members. As a result of this study, the key web-openings allocation becomes triangle spaces, i.e., empty or no materials, of optimal topologies of both a pure timber plate and a steel flange-web timber plate without web-openings. Several applicable examples verify the effectiveness of topology optimization for steel-timber beams with web-openings.

PURPOSES : The objective of this study is to develop an optimal placement of the overturning prevention device based on a 3D object model during the development of the girder-type overturning prevention device for the remote control construction of bridges METHODS : Based on existing construction methods and literature research, a detailed design model of a phase-optimized conduction prevention device is presented. The 3D-object model data, optimal placement, and an operating range of the equipment developed for the remote control construction of bridge girders were considered. RESULTS : The shape of the overturning prevention device was selected taking into account the dimensions and operating range of numerous devices developed for the remote control construction of the bridge. In particular, the detachable device was chosen to allow a trouble-free construction considering the spacing between the pier cap of the bridge and the girders. The overturning prevention device presented based on this 3D object model will be manufactured as a mock-up and used for a demonstration project on remote control bridge construction. CONCLUSIONS : This will enable easy and economical construction as this development will support remote control construction of bridge girders to avoid accidents such as workers falling from high places like piers.

Visual inspection methods have limitations, such as reflecting the subjective opinions of workers. Moreover, additional equipment is required when inspecting the high-rise buildings because the height is limited during the inspection. Various methods have been studied to detect concrete cracks due to the disadvantage of existing visual inspection. In this study, a crack detection technology was proposed, and the technology was objectively and accurately through AI. In this study, an efficient method was proposed that automatically detects concrete cracks by using a Convolutional Neural Network(CNN) with the Orthomosaic image, modeled with the help of UAV. The concrete cracks were predicted by three different CNN models: AlexNet, ResNet50, and ResNeXt. The models were verified by accuracy, recall, and F1 Score. The ResNeXt model had the high performance among the three models. Also, this study confirmed the reliability of the model designed by applying it to the experiment.

A telesounder is a device that can monitor the appearance of fish in the sea on land and store fish detection data. This study was conducted to monitor the appearance of fish resources in coastal or near seas by using LTE communication for data transmission of the telesounder. The purpose of this study was to develop a prototype telesounder that can monitor the appearance of fish groups in the waters about 50 km away from the coast and store fish detection data. In this study, the prototype telesounder including a fish finder, communication device and battery for stable operation at sea was developed. The stability of telesounder buoy, data transmission/reception and expected use time were investigated. The expected use time of the telesounder using LTE communication with a lithium battery (12 V, 120 Ah) was about 274 hours under the conditions of 10 minutes off and 10 minutes on, about 520 hours under the conditions of 30 minutes off and 10 minutes on, and about 142 hours under continuous conditions. As a result of the sea test, it was found that the telesounder can be used in the sea area moved about 34 km from the land and the telesounder buoy was evaluated to have secured basic stability (buoyancy balance, waterproof, antenna strength, etc.) for operation in a marine environment.

Along with the current rapid development of technology, object classification is being researched, developed, and applied to security systems, autonomous driving, and other applications. A common technique is to use vision cameras to collect data of objects in the surrounding environment. Along with many other methods, LiDAR sensors are being used to collect data in space to detect and classify objects. By using the LiDAR sensors, some disadvantages of image sensors with the negative influence on the image quality by weather and light condition will be covered. In this study, a volumetric image descriptor in 3D shape is developed to handle 3D object data in the urban environment obtained from LiDAR sensors, and convert it into image data before using deep learning algorithms in the process of object classification. The study showed the potential possibility of the proposal and its further application.

The use of heat exchangers in various applications such as chemical, air conditioning systems, fuel processing, and power industries is increasing. In order to improve the performance of the heat exchanger, the problem of bonding quality of the copper tube, which is a major member, is emerging. However, since the copper tube is in the form of a pipe, it is difficult to identify internal defects with external factors. In this study, a thermal imaging camera was used to develop and verify an algorithm for detecting defects in the brazing part, and in the process, the brazing performance characteristics were analyzed according to the electrode position, and finally, a learning model was developed and performance evaluation was performed. It was confirmed that the method of supplying heat to the base material and melting the filler metal through the heat transfer effect is more effective than supplying heat input to the filler metal in the bonding process of copper tubes through high-frequency induction heating brazing. Thermal image data was used to develop a defect discrimination model, and 80% of training data and 20% of test data were selected, and a neural network-based single-layer copper tube brazing defect discrimination model was developed through k-Flod cross-validation., the prediction accuracy of 95.2% was confirmed as a result of the error matrix analysis.

본 연구에서는 진해만의 DO 농도 재현을 목표로 LSTM 모형의 최적 매개변수 조건과 예측변수를 선별하기 위한 Case study를 진행하였다. 모형 매개변수 Case study 결과, 가장 적은 Hidden node와 Epoch인 Hidden node=10, Epoch=100에서 가장 낮은 정확도를 보였다. 이는 모형이 과소적합(Underfitting) 상태인 것으로 판단된다. Hidden node=80, Epoch=1200에서 R2 값은 0.99로 가장 높은 정확도를 보였다. 예 측변수 Case study 결과, 1개의 환경변수만을 예측변수로 사용한 Step 1에서 수온을 예측변수로 했을 때 저층 DO 농도 재현의 R2 값은 0.81 로 가장 높은 정확도를 보였다. 이후 2개의 환경변수를 사용한 Step 2에서는 수온과 SiO2를 예측변수로 했을 때 R2 값은 0.92로 수온만 사 용했을 때보다 정확도가 급격히 증가하였다. 이는 저층 DO 농도와 SiO2 농도간의 높은 상관성(=0.70)에 기인한 것으로 판단된다. 상기 결과로부터 진해만의 DO 농도 재현에 적합한 LSTM 모형의 매개변수와 예측변수를 찾을 수 있었다.

피마자 기반 수성 폴리우레탄(CPUD)을 얻기 위해 무 변성 피마자유 (CO) 와 투명 필름을 얻기 위해 이소포론 디이소시아네이트(IPDI)를 사용했다. 유연성을 증가시키기 위해 폴리프로필렌글리콜 (PPG)의 혼합 효과를 분석하였다. 또한, 사슬연장제로 에틸렌다이아민(EDA)을 사용했다. 각각 피마자유 함유에 따른 변화와 사슬연장제 변화에 따른 인장강도, 연신율 내마모성을 측정했다. 피마자유 함유가 많은 시료의 인장강도가 1.112kgf/㎟, 연신율 88%로 나타났으며, 사슬연장제 함유가 많은 시료의 인장 강도가 3.33kgf/㎟, 연신율 99%로 측정되었다. 표면강도는 SEM을 통해 육안으로 확인하였다.

본 연구는 평생학습에 참여한 코치들에게 개인의 역량 강화와 전문성을 향상 시키기 위한 ‘코치-되기’ 코칭프로그램을 개발하는 것을 목적으로 한다. 이 연구 에서는 코치들의 평생학습의 참여동기와 코칭 교육에 대한 선행연구를 근거하 여 평생학습과 참여동기의 설문조사 실시하였다. 이를 토대로 평생학습의 참여 동기에 대한 구성요소는 단기목표달성의지와 장기자아실현의지로 나타났다. 이 프로그램은 ICF 코칭핵심역량과 ACTIVE 코칭 대화 모델을 재구조화한 내용으로 기초세우기, 관계의 공동구축, 효과적인 의사소통, 학습과 성장의 4단 계로 구분하였다. 이를 토대로 전문코치 활동을 하기 위한 ‘코치-되기’ 코칭프로 그램을 개발을 모색하였다. 이는 코치의 개인 역량강화와 전문성을 내실화하여 현장에서 활용할 수 있는 기초자료로 제공하고자 한다.

본 연구에서는 용매로 침액되었을 시 전반적으로 더 균일한 상전이법 기반 평막 제조 시 주로 사용되는 부직포 지지체의 영향을 분석하였다. 도프용액의 점도가 낮을 경우 용액이 부직포층으로 쉽게 침투하여 불균일한 막이 형성되는 것 을 확인하였으며, 이를 방지하기 위해 부직포층을 유기용매로 침액하는 기법을 도입하였다. 부직포층이 유기 분리막이 생성 되는 것을 확인하였으며, 수투과 및 용매투과율도 향상하는 것을 알 수 있었다. 부직포 침액의 영향은 낮은 점도에서 확연하 게 나타났으며, 고분자용액의 점도가 높은 경우 침액 여부에 관계없이 동일한 성능을 얻을 수 있었다.

The frequent detection and occurrence of micropollutants (MPs) in aquatic ecosystems has raised public health concerns worldwide. In this study, the behavior of 50 MPs was investigated in three different domestic wastewater treatment plants (WWTPs). Furthermore, the Kruskal-Wallis test was used to assess the geographical and seasonal variation of MPs in the WWTPs. The results showed that the concentrations of 43 MPs ranged from less than 0.1 to 237.6 μg L-1, while other seven MPs including 17-ethynylestradiol, 17-estradiol, sulfathiazole, sulfamethazine, clofibric acid, simvastatin, and lovastatin were not detected in all WWTPs. Among the detected MPs, the pharmaceuticals such as metformin, acetaminophen, naproxen, and caffeine were prominent with maximum concentrations of 133.4, 237.6, 71.5, and 107.7 μg L-1, respectively. Most perfluorinated compounds and nitrosamines were found at trace levels of 1.2 to 55.3 ng L-1, while the concentration of corrosion inhibitors, preservatives (parabens), and endocrine disruptors ranged from less than 0.1 to 4310.8 ng L-1. Regardless of the type of biological treatment process such as MLE, A2O, and MBR, the majority of pharmaceuticals (except lincomycin, diclofenac, iopromide, and carbamazepine), parabens (except Methyl paraben), and endocrine disruptors were removed by more than 80%. However, the removal efficiencies of certain MPs such as atrazine, DEET, perfluorinated compounds (except PFHxA), nitrosamines, and corrosion inhibitors were relatively low or their concentration even increased after treatment. The results of statistical analysis reveal that there is no significant geographical difference in the removal efficacy of MPs, but there are temporal seasonal variations in all WWTPs.

정유소와 석유 공장에서 발생하는 폐수는 심각한 환경오염으로 이어진다. 기름이 있는 물을 정수 처리하는 데에 는 많은 방법이 존재하지만, 가장 효과적인 방법은 막을 이용한 기술이다. 물에서 기름기를 제거하는 데 사용되는 유기재료로 만들어진 고분자 막은 파울링이라는 고질적인 문제를 가지고 있다. 무기성 막은 수명이 길다는 점에서 유기성 분리막보다 효 율적이다. 제올라이트 막은 우수한 화학적 안정성을 갖고 있으며 오랜 기간 재활용할 수 있다. 막에서 친수성의 존재는 막의 수 투과량을 증가시킨다. 제올라이트로 만들어진 세라믹 분리막은 물과 기름을 분리하는 데 사용되는 효율적인 무기막 중 하 나이다. 본 리뷰논문은 i) 순수 제올라이트 막과 ii) 다른 물질과 혼합된 제올라이트 복합막, 2가지로 분류되는 제올라이트 기 반의 무기막을 사용하는 물과 기름 분리 기술을 중점으로 다루고 있다.

Conventional wastewater treatment plants (WWTPs) do not fully remove micropollutants. Enhanced treatment of sewage effluents is being considered or implemented in some countries to minimize the discharge of problematic micropollutants from WWTPs. Representative enhanced sewage treatment technologies for micropollutant removal were reviewed, including their current status of research and development. Advanced oxidation processes (AOPs) such as ozonation and UV/H2O2 and adsorption processes using powdered (PAC) and granular activated carbon (GAC) were mainly discussed with focusing on process principles for the micropollutant removal, effect of process operation and water matrix factors, and technical and economic feasibility. Pilot- and full-scale studies have shown that ozonation, PAC, and GAC can achieve significant elimination of various micropollutants at economically feasible costs(0.16-0.29 €/m3). Considering the current status of domestic WWTPs, ozonation and PAC were found to be the most feasible options for the enhanced sewage effluent treatment. Although ozonation and PAC are all mature technologies, a range of technical aspects should be considered for their successful application, such as energy consumption, CO2 emission, byproduct or waste generation, and ease of system construction/operation/maintenance. More feasibility studies considering domestic wastewater characteristics and WWTP conditions are required to apply ozonation or PAC/GAC adsorption process to enhance sewage effluent treatment in Korea.

본 연구는 최근 20년간(2001~2020) 소나무에 관한 주요 연구 주제 및 연구영역 분석을 통한 향후 연구 방향성을 파악하고자 하였다. 이를 위해 Python.3.9.0과 Textom를 활용하여 RISS와 Web of Science의 소나무 관련 총 3866편의 논문 제목과 키워드 데이터를 수집하고 분석을 실시하였다. 분석 결과, 국가별 총 논문 수는 일본 383편(46.8%), 한국 363편(44.4%), 중국 78편(9.5%)순으로 소나무 자생국가를 중심으로 한 관련 연구들이 활발히 진행되었다. 단어 빈도 및 TF-IDF, N-gram, CONCOR 분석을 통해 국내와 국외에서 소나무 관련 주요 연구 주제는 소나무재 선충으로 나타났으며, 사회 및 경제적 환경, 관련 정책 등 차이에 의해 국내와는 달리 국외에서는 '균근' 관련 연구가 주요 연구 영역으로 도출되었다. 또한 소나무 관련 연구는 일부 인문 사회학적인 연구들이 진행되었지만 주로 생태적인 측면에 집중되어 있는 것으로 나타 났다. 이에 소나무의 인문·사회학적 가치를 고려할 때 향후 연구에서는 이와 관련 후속연구가 필요할 것으로 판단된다.