목적 : 온도감응성 나노구조체를 제조하고 이를 적용하여, 보관시에는 항생제가 용출되지 않고, 안구착용시에 만 온도감응성으로 항생제를 용출하는 스마트 콘택트렌즈를 제조하고자 한다. 방법 : 에멀젼중합하여 p(NIPAAm)-기반의 나노구조체를 합성하였고, 이를 샌드위치 공법을 통해 콘택트렌즈 에 도입하였다. Soaking 방법을 통해 항생제인 levofloxacin(LVF)를 콘택트렌즈에 탑재하여 온도에 따라 항생제 용출 특성을 분석하였다. 결과 : sodium n-dodecyl sulfate (SDS) 마이셀 템플레이트를 활용한 에멀젼중합을 통해 20-40 nm 크기의 온도감응형 p(NIPAAm)-기반의 나노구조체를 합성하였고 이는 TEM과 입도분석기를 통해 확인하였다. 샌드위치 공법을 통해 콘택트렌즈에 나노구조체를 도입하였고, soaking 방법을 통해 항생제를 렌즈안의 나노구조체에 탑재 하였다. 25 oC와 35 oC에서 각각 항생제의 방출 특성을 분석하였다. 상온에서는 항생제를 3 ug 이내로 방출하였 지만, 35 oC에서는 2시간이내에 대부분의 항생제를 방출하였고 10 ug까지 방출하였다. 결론 : 본 연구에서는 온도감응형 나노구조체를 합성하고, 이를 콘택트렌즈에 적용 및 항생제를 탑재하여, 온 도감응형 스마트 항생제용출 콘택트렌즈를 제조하였다. 온도감응형 나노구조체는 콘택트렌즈안에서 항생제를 성 공적으로 탑재할 수 있었고, 상온에서 상당량의 항생체를 보관하고, 온도증가시 10 ug까지의 많은 양의 항생제를 방출하였다. 본 연구결과는 약물전달용 스마트 안과의료기기 및 콘택트렌즈의 개발 및 상용화에 큰 역할을 할 것 으로 기대된다.

This paper introduces a container loading problem and proposes a theoretical approach that efficiently solves it. The problem is to determine a proper weight of products loaded on a container that is delivered by third party logistics (3PL) providers. When the company pre-loads products into a container, typically one or two days in advance of its delivery date, various truck weights of 3PL providers and unpredictability of the randomness make it difficult for the company to meet the total weight regulation. Such a randomness is mainly due to physical difference of trucks, fuel level, and personalized equipment/belongings, etc. This paper provides a theoretical methodology that uses historical shipping data to deal with the randomness. The problem is formulated as a stochastic optimization where the truck randomness is reflected by a theoretical distribution. The data analytics solution of the problem is derived, which can be easily applied in practice. Experiments using practical data reveal that the suggested approach results in a significant cost reduction, compared to a simple average heuristic method. This study provides new aspects of the container loading problem and the efficient solving approach, which can be widely applied in diverse industries using 3PL providers.

Many manufacturers applying third party logistics (3PLs) have some challenges to increase their logistics efficiency. This study introduces an effort to estimate the weight of the delivery trucks provided by 3PL providers, which allows the manufacturer to package and load products in trailers in advance to reduce delivery time. The accuracy of the weigh estimation is more important due to the total weight regulation. This study uses not only the data from the company but also many general prediction variables such as weather, oil prices and population of destinations. In addition, operational statistics variables are developed to indicate the availabilities of the trucks in a specific weight category for each 3PL provider. The prediction model using XGBoost regressor and permutation feature importance method provides highly acceptable performance with MAPE of 2.785% and shows the effectiveness of the developed operational statistics variables.

Recently, many studies have been conducted to improve quality by applying machine learning models to semiconductor manufacturing process data. However, in the semiconductor manufacturing process, the ratio of good products is much higher than that of defective products, so the problem of data imbalance is serious in terms of machine learning. In addition, since the number of features of data used in machine learning is very large, it is very important to perform machine learning by extracting only important features from among them to increase accuracy and utilization. This study proposes an anomaly detection methodology that can learn excellently despite data imbalance and high-dimensional characteristics of semiconductor process data. The anomaly detection methodology applies the LIME algorithm after applying the SMOTE method and the RFECV method. The proposed methodology analyzes the classification result of the anomaly classification model, detects the cause of the anomaly, and derives a semiconductor process requiring action. The proposed methodology confirmed applicability and feasibility through application of cases.

경추 MRI는 연부 조직에 대한 대조도와 분해능이 우수하여 경추 부위의 퇴행성 질환 및 추간공의 협착, 척수염, 추간판 탈출증 등의 신경 질환 검사에 특히 이용되고 있다. 그러나 경추 MRI 검사는 신경 질환에 의한 배경 신호 강도가 증가되어 SNR이 감소하고 이를 보상하기 위해 여기 횟수가 증가되어 검사 시간이 길어지는 단점이 있다. 교통사고나 낙상을 원인으 로 경추 MRI 검사를 진행할 시 검사 시간이 길어 호흡과 질환의 통증에 의한 움직임 등을 최소화해야 최적의 영상을 획득 할 수 있어 환자의 적극적인 협조가 요구되며 적정한 검사 시간의 단축을 통해 인공물이 없는 진단 가능한 영상을 만들어 낼 수 있다. 최근 개발된 SwiftMR 인공지능 소프트웨어는 경추 MRI 검사 시간을 획기적으로 줄일 수 있다. T2 시상면, T2 축상면, T1 시상면, T1 축상면 SwiftMR 영상의 SNR은 목뼈 몸통 223.82 ± 30.82, 척수 273.03 ± 32.38, 가시돌 기 및 가로돌기 378.61 ± 27.64로 측정되었다. 고속스핀 에코 기법의 SNR은 목뼈 몸통 116.51 ± 11.46, 척수 182.1 ± 22.24, 가시돌기 및 가로돌기 227.79 ± 35.55로 측정되었다. 고속스핀에코 기법의 CNR은 182.12 ± 13.24, SwiftMR 기법 CNR은 346.8 ± 41.84로 측정되었다. 고속스핀에코와 SwiftMR 인공지능 소프트웨어가 적용된 영상을 통해 화질 선명도, 신호 강도의 균일성, 목뼈 몸통 주변의 인공물의 관찰자 간 병변에 대한 일치성 평가는 K값이 0.87로 평가되었다. 연구 결과를 통해 경추 MRI 검사에 SwiftMR 인공지능 기법을 적용함으로써 검사 시간을 단축할 수 있으며, 환자의 불편을 최소화하고 진단 가능한 질 좋은 영상 정보를 제공할 수 있을 것으로 사료된다.

PURPOSES : The purpose of this study was to quantitatively evaluate the variability of LiDAR performance indicators, such as intensity and Number of Point Cloud(NPC), according to various environmental factors and material characteristics. METHODS : To consider the material characteristics of road safety facilities, various materials (Reference Material(RM), reflective sheet, matte sheet, granite, plastic, and rubber) were used in a darkroom, and the performance indicators of LiDAR were repeatedly measured in terms of changes in the measurement distance, rainfall, and angle of observation. RESULTS : In the case of standard reflective materials, the intensity measurement value decreased as the measurement distance and rainfall increased. The NPC showed a tendency to decrease as the measurement distance increased, regardless of rainfall intensity. For materials with high-intensity values, it was found that rainfall intensity and color had negligible effect on the change in intensity compared with the measurement distance. However, for materials with low-intensity values, it was found that the measurement distance, rainfall intensity, and color all had a significant effect on the change in intensity. CONCLUSIONS : For materials with high-intensity values, it was found that rainfall and color had negligible effect on change in intensity compared with the measurement distance. However, for materials with low-intensity values, the measurement distance, rainfall, and color all had a significant effect on the change in intensity value.

PURPOSES : In this study, to improve the quality and construction performance of backfill materials for road excavation and restoration, the basic properties of rapid-hardening materials and stone sludge are analyzed to propose an optimal mix design. METHODS : To utilize rapid-hardening materials and stone sludge as controlled low-strength materials for pipeline construction in downtown areas, specimens were prepared for each compounding condition of fast-hardening materials. Flow, slump, and compressive strength tests were performed at various setting times. Subsequently, the physical and mechanical characteristics of the rapid-hardening backfill material for each mixing factor were analyzed. RESULTS : When ultrafast hardening cement and stone sludge are used, a setting time exceeding 30 min is required for a water–binder (W/B) ratio of 200% or higher. Considering the economic feasibility of ultrafast hardening cement, a W/B of 300% is considered the most suitable when high-performance superplasticizer and retarders are mixed. A flow test was performed on the rapid-hardening backfill material and the results show that if the mixing time exceeds 10 min, then the fluidity decreases rapidly, which necessitates a higher amount of superplasticizer. When ultrafast hardening cement is used, the initial strength (based on 4 h) is 0.7 MPa or higher for all formulations at a W/B ratio of 300%, and the compressive strength decreases slightly as the amount of superplasticizer is increased by 0.1%. CONCLUSIONS : Based on the fluidity and strength of the backfill material, which is composed of a rapid-hardening material and stone sludge, the most optimal performance is achieved when ultrafast-hardening cement with a W/B ratio of 300% is used in addition to a highperformance fluidizing agent 0.3% (wt./B) and retarder 0.2% (wt./B).

PURPOSES : In this study, high-viscosity grout for increasing ground stiffness is developed using industrial byproducts. METHODS : Based on literature review, the viscosity and viscosity expression time of domestic and foreign anti-washout admixture underwater were evaluated. In addition, grout was prepared by mixing 5% to 40% of fly ash (FA) in a standard mixture. Flow, setting time, and compressive strength tests were conducted to evaluate the quality of the grout. RESULTS : Experimental results show that the viscosity required is 35,000 to 40,000 cps, whereas the viscosity expression time required exceeds 300 min. As the amount of FA used for grouting increases, the physical and mechanical performances deteriorate. The strength of a test specimen manufactured underwater is lower than that of a test specimen manufactured under air, and the decrease on day 28 is lower than that on day 3. The FA applied to the grout should be less than 20%. CONCLUSIONS : Although industrial byproducts, which exhibit high viscosity, offer excellent mechanical performance and are thus suitable as a solidifying agent for strengthening grout, their application in the field must be evaluated.

PURPOSES : In this study, a system is investigated and developed to remove fog by injecting air onto a road using high-pressure air generated by turbo blowers installed on both edges of the road without using artificial chemicals. METHODS : A test device was constructed on a scaled road measuring 5 m long. A 225 kW class turbo blower was used to supply air. An air injection nozzle was installed to allow high-pressure air supplied from the turbo blower to be sprayed vertically from the edge of the road and horizontally from the surface of the road. Ten micro humidifiers were used to generate fog. RESULTS : Experimental results show that when ground fog occurs on the road, spraying air only in the vertical direction cannot effectively remove the fog. However, when vertical and horizontal nozzles are used simultaneously, both ground fog and flowing fog are removed effectively. CONCLUSIONS : A system for removing fog by spraying air jet is constructed, and fog is generated using a micro humidifier. Results from the fog removal performance test show that the system effectively removes fog.

Existing reinforced concrete building structures constructed before 1988 have seismically-deficient reinforcing details, which can lead to the premature failure of the columns and beam-column joints. The premature failure was resulted from the inadequate bonding performance between the reinforcing bars and surrounding concrete on the main structural elements. This paper aims to quantify the bond-slip effect on the dynamic responses of reinforced concrete frame models using finite element analyses. The bond-slip behavior was modeled using an one-dimensional slide line model in LS-DYNA. The bond-slip models were varied with the bonding conditions and failure modes, and implemented to the well-validated finite element models. The dynamic responses of the frame models with the several bonding conditions were compared to the validated models reproducing the actual behavior. It verifies that the bond-slip effects significantly affected the dynamic responses of the reinforced concrete building structures.

PURPOSES : In this study, emissions from asphalt mixture production and construction processes are calculated and used to estimate the emission from each asphalt pavement layer. The calculated emissions for the processes are used as fundamental data to estimate the total emission from the entire life cycle of pavement engineering in South Korea. METHODS : A design proposal and the Korean standard, which provide quantitative information for activities, were used to estimate the amount of construction materials and energy consumption. Subsequently, the LCI DB from NAPA and the LCIA DB from EPA were utilized in conjunction with the estimated quantity to assess the effect of the emissions to determine their environmental impact categories. RESULTS : Calculation results show that 5.84 million ton of CO2eq is discharged from production and construction processes, whereas 3.24 million ton of CO2eq is discharged from operation processes in the pavement engineering sector. The total GHG emission, i.e., 9.08 million ton of CO2eq, is approximately 1.25% of the national GHG emission in 2018. The asphalt mixture production process results in the highest GHG emission in the life cycle of asphalt pavements. CONCLUSIONS : An LCI DB that accounts for the industrial characteristics of South Korea must be established to provide more reliable emission data to be used for national GHG reduction plans, including those for the pavement engineering sector.

PURPOSES : To efficiently manage pavements, a systematic pavement management system must be established based on regional characteristics. Suppose that the future conditions of a pavement section can be predicted based on data obtained at present. In this case, a more reasonable road maintenance strategy should be established. Hence, a prediction model of the annual surface distress (SD) change for national highway pavements in Gangwon-do, Korea is developed based on influencing factors. METHODS : To develop the model, pavement performance data and influencing factors were obtained. Exploratory data analysis was performed to analyze the data acquired, and the results show that the data were preprocessed. The variables used for model development were selected via correlation analysis, where variables such as surface distress, international roughness index, daily temperature range, and heat wave days were used. Best subset regression was performed, where the candidate model was selected from all possible subsets based on certain criteria. The final model was selected based on an algorithm developed for rational model selection. The sensitivity of the annual SD change was analyzed based on the variables of the final model. RESULTS : The result of the sensitivity analysis shows that the annual SD change is affected by the variables in the following order: surface distress ˃ heat wave days ˃ daily temperature range ˃ international roughness index. CONCLUSIONS : An annual SD change prediction model is developed by considering the present performance, traffic volume, and climatic conditions. The model can facilitate the establishment of a reasonable road maintenance strategy. The prediction accuracy can be improved by obtaining additional data, such as the construction quality, material properties, and pavement thickness.

홍잠은 숙잠(熟蠶)을 수증기로 익혀서 인간이 섭취할 수 있도록 제조한 다양한 건강 증진 효과가 있는 천연 건강 식품이다. 현재 표준 제조 방법은 수증기로 찐 홍잠을 보관과 판매의 편의를 위하여 급속 냉동하여 동결 건조를 진행하는 것이다. 그런데, 홍잠을 동결 건조하는 과정은 많 은 시간과 비용을 필요로 하여 홍잠 제품 가격의 인상 요인으로 작용하고 있다. 본 연구에서는 홍잠을 수증기로 찐 후 바로 균질 액으로 제조하여 분무 건조하면 분말 제조 비용을 절감할 수 있음을 발견하였다. 그리고 홍잠 균질 액에 식용 단백질 분해 효소를 첨가하여 분해시킨 후, 단 1회의 분무 건조로 제품을 제조할 수 있는 방법을 개발하였다. 특히 홍잠 균질 액이나 효소 분해 홍잠 균질 액은 바로 액상이나 젤리 형태로 일반 또는 환 자용 특수 의료 용도 식품에 활용이 가능함을 보여주었다. 본 연구에서는 생산비용이 감소된 홍잠의 가공 방법을 제안하며 이는 제품 생성의 단가 를 낮추어 제품의 대중화와 양잠 농가의 연관산업 육성을 불러올 것으로 기대된다.

The physicochemical properties of the emulsions prepared with four different proteins (pea protein isolate, whey protein isolate, soy protein concentrate, and soy protein isolate) were characterized in terms of particle size, rheological property, and freeze-thaw stability, while the feasibility of the protein-stabilized emulsions as a fat replacer was evaluated. Confocal laser scanning microscopic analysis showed that O/W emulsions were successfully prepared with all the proteins; however, the smallest particle size and excellent syneresis were observed in the WPI-stabilized emulsions. The use of WPI-stabilized emulsions as an alternative for shortening up to 50% level did not lead to differences in the muffin batters’ specific gravity and viscoelastic properties. After baking, the substitution of shortening with the WPI emulsions at up to 50% by weight did not significantly affect the muffins’ specific volume and texture characteristics.

이 논문은 보컬의 변칙리듬의 활용 방법에 대해 연구하였다. 연구목적은 노래가 포함된 곡을 만드는 작곡, 작사, 편곡, 프로듀서, 보컬 등의 뮤지션이 좀 더 다양하고 독창적인 보컬 리듬을 활용할 수 있도록 방법을 제시하는 것이다. 연구방법은 대표적인 퓨전재즈 보컬 알 자로의 앨범과 라이브 공연에서 사용된 변칙적인 리듬의 선율 및 스캣을 분석한 후 그루핑의 구조 관점으로 도 출해 본 음악의 박자와 변형된 박자의 구조를 한 눈에 비교하고 인식 할 수 있도록 하였다. 연구결 과 <Spain>과 <Don't You Worry 'bout a Thing> 그리고 <Step By Step>은 한마디 안에 4분음표가 한 박의 길이를 가진 4분의 4박자 리듬 구조의 곡에서 4분음표와 8분음표의 길이가 합쳐진 그루핑 구조를 사용하였다. <Last Night>는 4분음표와 16분음표 길이가 합쳐진 그루핑 구조를 활용하여 보컬을 제외한 모든 악기가 한마디에 네 박으로 연주하는 리듬에서 변칙적인 그루핑을 적용하여 독특한 노래와 스캣이 만들어졌음을 도출하였다.