Under increased complexity and uncertainty of overseas construction projects, it is important for construction companies to improve their own project risk management capabilities instead of risk-taking strategies to secure competitiveness in the overseas construction market. Although most of the risks occur in project execution stage, many previous studies focused on planning stage including risk identification and analysis among PRM process. Therefore, this study aims to verify the effectiveness of whole PRM process during project execution stage through empirical study on participants of overseas construction projects. As the result it was found that first, the factor directly affects the project success is the execution process of PRM. It implies that appropriate actions such as appointing charged manager for risks, timely implementation of responding plan, continuous risk monitoring and updating established plan are the key for contribution to the project success. Second, the importance of communication in PRM is also found, which is not conducted at a specific but throughout the entire PRM process and need to be managed as essential factor for successful PRM..

목적 : 본 연구의 목표는 서울지역 20대 MZ세대 집단이 인식하는 해외 안경테 브랜드 국가의 감성의미를 도출 하는 것이다. 방법 : 먼저 연구 대상으로 이탈리아, 프랑스, 미국, 일본 4개국을 선정하였다. 의미분별법을 이용하여 감성어 휘 8개를 추출한 다음, 설문조사와 통계처리를 통하여 각각의 국가별로 해당되는 감성어휘를 결정하였고, 해외 안 경테 브랜드 국가에 대한 선호도 조사를 추가로 실시하였다. 결과 : 이탈리아, 프랑스, 미국, 일본의 4가지 해외 안경테 브랜드 국가들에 대하여 각각 고급스러움, 매력적 임, 실용적임, 동양적임이라는 감성어휘를 가장 많이 선택하였다. 안경테에 대한 선호도 순위는 이탈리아, 프랑스, 미국, 일본 순으로 나타났다. 결론 : 도출된 감성어휘들과 응답자들의 선호도를 분석했을 때, 고급스러움과 디자인적 측면을 중시하는 MZ세 대의 플렉스 소비 성향에는 이탈리아와 프랑스 브랜드의 안경테가 가정 적합한 것으로 여겨진다.

In 2022, research for native prokaryotic species in Korea reported 10 unrecorded bacterial strains affiliated to phyla Actinomycetota, Bacillota, and Pseudomonadota. The strains formed monophyletic clades with the most closely related species (with ≥98.7% sequence similarity) in the 16S rRNA gene sequencing. Among them, four species of the phylum Actinomycetota, two species of the phylum Bacillota, and four species of the phylum Pseudomonadota have not been reported in Korea, suggesting unrecorded species in Korea. Information on strains such as Gram staining reaction, colony and cell morphology, biochemical characteristics, and isolation sources were provided in the species description.

This study was conducted to calculate the damage of Italian ryegrass (IRG) by abnormal climate using machine learning and present the damage through the map. The IRG data collected 1,384. The climate data was collected from the Korea Meteorological Administration Meteorological data open portal.The machine learning model called xDeepFM was used to detect IRG damage. The damage was calculated using climate data from the Automated Synoptic Observing System (95 sites) by machine learning. The calculation of damage was the difference between the Dry matter yield (DMY)normal and DMYabnormal. The normal climate was set as the 40-year of climate data according to the year of IRG data (1986~2020). The level of abnormal climate was set as a multiple of the standard deviation applying the World Meteorological Organization (WMO) standard. The DMYnormal was ranged from 5,678 to 15,188 kg/ha. The damage of IRG differed according to region and level of abnormal climate with abnormal temperature, precipitation, and wind speed from -1,380 to 1,176, -3 to 2,465, and -830 to 962 kg/ha, respectively. The maximum damage was 1,176 kg/ha when the abnormal temperature was -2 level (+1.04℃), 2,465 kg/ha when the abnormal precipitation was all level and 962 kg/ha when the abnormal wind speed was -2 level (+1.60 ㎧). The damage calculated through the WMO method was presented as an map using QGIS. There was some blank area because there was no climate data. In order to calculate the damage of blank area, it would be possible to use the automatic weather system (AWS), which provides data from more sites than the automated synoptic observing system (ASOS).

In this study, an experiment was conducted on the domestic cultivar 'White and Cool' on a farm in Taean to compare the effects of conventional soil cultivation and net cultivation to increase yield and reduce labor input time during outdoor gladiolus cultivation. The above- and below-ground growth, yield, and input labor time were investigated after cultivating half of the seedlings using the conventional cultivation method and the other half using the net cultivation method. There was no difference in the above- or below-ground growth between net cultivation and conventional cultivation. However, the labor input time decreased 2.57 times, the yield of the irrigated area increased by 3%, and the self-fertilization yield increased by 28%. Based on these results, several factors should be considered during net cultivation. First, loose netting should be used for root development. Second, care should be taken while flattening when planting seedlings, and after sowing, the area should be covered with a net to prevent drying. Third, after completion of the installation, compaction should be performed to ensure close contact between the soil and netting, and after removing the space between the nets, the seedlings should be irrigated to induce early rooting.

This study was aimed to isolate bacterial inoculants producing chitinase and evaluate their application effects on corn silage. Four corn silages were collected from four beef cattle farms to serve as the sources of bacterial inoculants. All isolates were tested against Fusarium graminearum head blight fungus MHGNU F132 to confirm their antifungal effects. The enzyme activities (carboxylesterase and chitinase) were also measured to isolate the bacterial inoculant. Based on the activities of anti-head blight fungus, carboxylesterase, and chitinase, L. buchneri L11-1 and L. paracasei L9-3 were subjected to silage production. Corn forage (cv. Gwangpyeongok) was ensiled into a 10 L mini silo (5 kg) in quadruplication for 90 days. A 2 × 2 factorial design consists of F. graminearum contamination at 1.0104 cfu/g (UCT (no contamination) vs. CT (contamination)) and inoculant application at 2.1 × 105 cfu/g (CON (no inoculant) vs. INO (inoculant)) used in this study. After 90 days of ensiling, the contents of CP, NDF, and ADF increased (p<0.05) by F. graminearum contamination, while IVDMD, acetate, and aerobic stability decreased (p<0.05). Meanwhile, aerobic stability decreased (p<0.05) by inoculant application. There were interaction effects (p<0.05) on IVNDFD, NH3-N, LAB, and yeast, which were highest in UCT-INO, UCT-CON, CT-INO, and CT-CON & INO, respectively. In conclusion, this study found that mold contamination could negatively impact silage quality, but isolated inoculants had limited effects on IVNDFD and yeast.

Extensive research and testing continue to be conducted for the development of vaccines targeting zoonotic diseases such as brucellosis. In this study, the potential of the DapB as a recombinant protein vaccine to effectively combat Brucella abortus 544 infection in BALB/c mice was evaluated. Western blotting assay results showed that recombinant protein DapB reacted with Brucella-positive serum, indicating its potential immunoreactivity. In vivo results showed that the peripheral blood CD4+ and CD8+ T cell population significantly increased in the DapB-immunized mice group after the first, second and third blood collection, compared to the control group that received PBS. Additionally, at the fourth blood collection, an increase in CD4+ T cell activation was observed in three vaccination groups compared to PBS negative control group. These results indicate the potential of DapB in stimulating cellular immunity. Fourteen days after infection, the bacterial load in the spleen was evaluated. The reduction in bacterial replication in the spleen by both DapB and RB51 highlights their protective efficacy against Brucella infection. These findings contribute to the ongoing efforts in developing effective vaccines against brucellosis and provide valuable insights for further research in this field.

Corn silage is extensively utilized in ruminant feeding on a global scale, with substantial research efforts directed towards enhancing its nutritional worth and managing moisture content. The purpose of this study was to assess the impact of normal cutting height and elevated cutting height on whole-crop corn silage. Corn was harvested at heights of 15 cm and 45 cm above the ground, respectively, 45 days after heading. The harvested corn was cut into 2-3 cm lengths and packed into 20-liter plastic silos in triplicate. The results showed that dry matter (DM), crude protein (CP), water soluble carbohydrates (WSC), and in vitro dry matter digestibility (IVDMD) of C45 were significantly higher than those of the control, while the neutral detergent fiber (NDF) was significantly lower in C45 (p<0.05). The C15 had higher yields than C45 (p<0.05). There was no significant difference in the total digestible nutrients (TDN) yield of whole-crop corn silage. The increase in cutting height resulted in a larger change in moisture content and NDF per centimeter. After 60 days-ensiling, C45 showed significantly lower NH3-N concentrations. Moreover, C45 had significantly higher lactic acid concentration, lactic acid/acetic acid ratio, and lactic acid bacteria count compared to the control. Mold was not detected and the yeast count was less than 2 log10 cfu/g fresh matter in both control and C45. In summary, C45 improved the feeding value and fermentation quality of whole-crop corn silage at the expense of forage productivity.

The Fourth Industrial Revolution and sensor technology have led to increased utilization of sensor data. In our modern society, data complexity is rising, and the extraction of valuable information has become crucial with the rapid changes in information technology (IT). Recurrent neural networks (RNN) and long short-term memory (LSTM) models have shown remarkable performance in natural language processing (NLP) and time series prediction. Consequently, there is a strong expectation that models excelling in NLP will also excel in time series prediction. However, current research on Transformer models for time series prediction remains limited. Traditional RNN and LSTM models have demonstrated superior performance compared to Transformers in big data analysis. Nevertheless, with continuous advancements in Transformer models, such as GPT-2 (Generative Pre-trained Transformer 2) and ProphetNet, they have gained attention in the field of time series prediction. This study aims to evaluate the classification performance and interval prediction of remaining useful life (RUL) using an advanced Transformer model. The performance of each model will be utilized to establish a health index (HI) for cutting blades, enabling real-time monitoring of machine health. The results are expected to provide valuable insights for machine monitoring, evaluation, and management, confirming the effectiveness of advanced Transformer models in time series analysis when applied in industrial settings.

A 11 year-old, female, shih-tzu mixed-breed dog was presents with history of sudden blindness for 2 days. An ophthalmic test was conducted to find the cause of blindness, including an intraocular pressure test, a fundus test, and an electroretinogram. As a result of the test, the abnormality in the eye could not be confirmed, so MRI request was made. MRI confirmed mass areas with 1.0 × 0.5 mm T2W/FLAIR heterogeneous hyperintense, T1W isointense, and enhancement that spread widely from the dorsal part of the sella turcica to the anterior optical chiasm. Cystic lesion was identified in the front of the lesion, and it had the characteristics of an extra-axial tumor such as a broad base attachment surface and a dural tail signal. Based on these tests diagnosed blindness caused by brain tumors. Clinical symptoms began to improve three days after taking chemotherapy, and all clinical symptoms disappeared after a week. This case report demonstrated that clinical sign, diagnostic imaging and successful treatment result with chemotherapy in canine brain tumor patient.

The purpose of this study is to conduct a comparative study on the curriculum of game-related content by investigating and analyzing the curricula of game and applied music departments at universities in the metropolitan area and local universities. Curricula were investigated and compared and analyzed focusing on applied music departments at universities in the metropolitan area and local universities. As a result, differences in the educational focus of each school and the need for improvement were identified. According to a comparative study of the curriculum in the metropolitan area and local areas, it can be seen that content-related education should not be concentrated only in the metropolitan area but should be expanded throughout Korea. We need to find a way to structure the education curriculum so that the purpose of education is to cultivate talent related to games and content.

Although the proportion of coal-fired power generation is decreasing, efficient operating technology is needed to continuously invest in facilities and reduce maintenance costs until it is abolished. Boilers, one of the main facilities of power plants, operate for a long time in harsh environments of high temperature and high pressure. In addition, damage due to deterioration is likely to occur depending on the fuel and tube material used. It is very important to judge soundness because damage caused by deterioration adversely affects facility operation. Previously, replication method was used to analyze the progress of deterioration. In the replication method, pre-treatment such as chemical treatment is performed on the boiler tube in the field, the area is reproduced by attaching a film, and the replicated film is determined by an expert in the laboratory with an expensive microscope. However, this method involves substantial costs and time requirements, as well as the possibility of human errors. To address these issues, we developed a mobile health assessment system in this research. Since it is detachable and takes images in real time, this system enables swift evaluations across a broad range and facilitates the assessment of preprocessing quality. In addition, it was intended to reduce existing human mistakes by developing a degradation classification algorithm using the merger cluster method.

This paper presents a study on the design and implementation of a secure contactless system leveraging Quick Response (QR) codes as a core component. The main goal of this system is to bridge the gap between strong security and improved user experience within the realm of digital interaction. The system's versatility can be expanded with broad compatibility with a variety of applications. Utility can be expanded to areas such as contactless payments, electronic ticketing, secure identity verification, and convenient access to medical records. The international standardization of QR codes ensures seamless cross-platform compatibility, strengthening their role in the digital ecosystem. We actually create and develop a non-contact security QR code system and check the expandability of the system. This study highlights the pivotal role of QR codes within the realm of secure contactless systems. Through its effective balance of digital security and user convenience, QR codes are emerging as an important element in the continued development of a secure and user-friendly digital environment. The potential for future research lies in exploring more complex use cases and further advancements that improve both security and user-centered design.

이번에 제시할 화상 사례 보고는 환자와 검사를 시행하는 방사선사의 부주의로 인한 화상 안전사고가 아니라 환자 가운 의 치수 구별을 하기 위하여 사용한 녹색 염료가 착색된 파이핑 라인에서 발생한 복부 부위 화상 안전사고에 대한 MRI 인공물 영상과 사례를 보고하고자 함이다. 화학 착색염료는 다양한 금속을 사용하여 만들어지고 주로 금속 염화물로 이루 어져 있으며 이번에 화상 사례로 발생한 녹색 염료는 열 전도성이 높은 구리와 크롬, 철 성분이 많이 함유된 염화물이 주로 사용되고 있다. 이러한 화상 안전사고를 막기 위해서는 염료의 성분에 대해서 알아보고 열 전도성이 없는 스펀지나 면으로 된 포 등을 피부와 환자 가운 사이에 끼워 간격을 두어야 할 것이다. 이번 화상 사례는 철저한 검사 전 선별 절차에도 불구 하고 화상 안전사고가 발생할 수 있음을 보여 주고 있으며 MRI 인공물 영상을 확인하여 조치하면 화상 안전사고를 미리 예방할 수 있는 정보로 가치가 있을 것으로 생각된다.

본 연구는 금속 인공물을 감소시키기 위한 VAT(view angle tilting)와 SEMAC(slice encoding for metal correction) 기법 적용에 따른 온도 변화 범위를 관찰하고자 하였다. 제작된 인체 모방 팬텀을 활용하였고, 검사방법으로는 임상에서 실제로 사용하고 있는 고속스핀에코(fast spin echo, FSE) 기법의 영상 파라미터들을 그대로 이용하였다. VAT 와 SEMAC 기법은 FSE와 같은 파라미터로 설정한 다음 VAT 파라미터는 100%와 SEMAC 파라미터는 25로 설정하였다. 온도 측정 방법으로는 수소원자 공명주파수전이법(proton resonance frequency shift, PRFS)기법을 활용하였으며, 광 섬유 온도계(fiber-optic sensor, FOS)로 절대 온도를 측정한 후 비교 분석하였다. 온도 변화는 SEMAC 기법에서 기존 FSE 기법 (0.28℃±0.10℃)에 비해 1.63℃±0.12℃로 약 6배 상승하였고(SEMAC-FOS = 1.59℃), VAT 기법은 약 2배 증가(VAT-FOS = 0.51℃)가 확인되었다. 특히, SEMAC 기법은 VAT 기법(VAT-FOS = 0.51℃, VAT-PRFS = 0.54℃ ±0.02℃)과 비교하여 약 3배가 증가하여 가장 높은 온도 상승이 관찰되었다. 이는 SEMAC 기법 적용 시 자기공명영상 전자파 인체 영양에 대한 안전기준을 충족하기 위해 영상 파라미터 최적화 작업의 필요성을 시사한다.

The gaming industry is experiencing rapid growth due to recent advances in technology. Game engines such as Unity and Unreal are being actively utilized. These game engines offer a variety of plugins to naturally extend the functionality of the engine. Among them, innovations in 3D graphics technology have made game characters more expressive and enhanced the user experience. However, traditional 3D modeling approaches can sometimes bring limitations and challenges. In particular there are problems with the representation of fine details when utilizing general photos through AI scanning. This paper aims to overcome these difficulties by designing and implementing a game 3D character generation framework using Stable Diffusion. By improving the creation process by utilizing concept art images without hairstyles, it enables fast and efficient character creation. The application of this framework allows for faster and more consistent character creation with fewer steps in the creation process and helps game developers to adapt characters to the engine more easily and quickly. In addition, we verified the effectiveness and scalability of the 3D game character data generated by Stable Diffusion by checking the animation behavior in the game engine.

DWI 검사 시 인체 조직 및 병변에 근접한 공기는 영상왜곡을 가중해 병변 감별에 어려움을 준다. 이에 본 연구는 팬텀을 제작하 여 기하학적 왜곡을 줄여주는 SMS RESOLVE DWI를 통해 공기 자화율에 의한 왜곡 변화를 정량화하였다. 팬텀은 원통형으로 내부에 공기가 존재하도록 설계하였다. 제한된 환경 속에서 다양한 자화율에 의해 왜곡이 영상에 구현되도록 팬텀 내부에는 증류수, 젤라틴 외 혼합 물질과 공기를 구분되게 채웠다. 팬텀의 정렬을 다르게 하여 공기 있는 상태 실험을 진행 후, 공기 대신 혼합액 넣은 상태 실험을 같은 방식으로 진행하였고 혼합액 대신 증류수 넣은 상태 실험을 진행하였다. 3T MRI 장비로 T2WI, C DWI, SMS-RESOLVE DWI를 촬영하였고 파이썬 OpenCV로 이미지 유사도를 측정 후 비교 분석하였다. 실험 결과 공기 있는 상태 SMS-RESOLVE DWI b0에서 SSIM 평균 0.898, MSE 평균 0.068로 영상왜곡이 가장 적었다. SMS-RESOLVE DWI의 공기 자화율 왜곡 변화는 b0 기준 SSIM, MSE 모두 –0.033~0.003 이미지 유사도 차이를 보였다. SMS-RESOLVE DWI b1000은 수치상 이미지 유사도 차이가 크지 않거나 감쇄되는 때도 있어서 향후 SNR 보완에 초점을 둔다면 보다 개선된 영상진단 성능을 제공할 것으로 기대되고 오픈 소스 라이브러리를 통해 오차를 최소화한 이미지 처리와 유사도를 분석하는 새로운 시도는 앞으로의 연구 방향에 새 모델을 제시한다.

In the realm of dental prosthesis fabrication, obtaining accurate impressions has historically been a challenging and inefficient process, often hindered by hygiene concerns and patient discomfort. Addressing these limitations, Company D recently introduced a cutting-edge solution by harnessing the potential of intraoral scan images to create 3D dental models. However, the complexity of these scan images, encompassing not only teeth and gums but also the palate, tongue, and other structures, posed a new set of challenges. In response, we propose a sophisticated real-time image segmentation algorithm that selectively extracts pertinent data, specifically focusing on teeth and gums, from oral scan images obtained through Company D's oral scanner for 3D model generation. A key challenge we tackled was the detection of the intricate molar regions, common in dental imaging, which we effectively addressed through intelligent data augmentation for enhanced training. By placing significant emphasis on both accuracy and speed, critical factors for real-time intraoral scanning, our proposed algorithm demonstrated exceptional performance, boasting an impressive accuracy rate of 0.91 and an unrivaled FPS of 92.4. Compared to existing algorithms, our solution exhibited superior outcomes when integrated into Company D's oral scanner. This algorithm is scheduled for deployment and commercialization within Company D's intraoral scanner.

본 연구에서는 T2 터보 스핀 에코 지방 포화 기법 중 딥러닝 기반 T2 터보 스핀 에코 Dixon 기법에서 지방분율에 대한 분석을 통해 정확한 지방 포화가 이루어지는지 알아보고자 하였다. 이에 미국 방사선학회 인증 팬텀을 기준 팬텀으로 설정 하고, 액체 지방 팬텀을 이용하여 일반 T2 지방 포화 기법들과 딥러닝 기반 T2 Dixon 기법의 지방분율을 정량적으로 분석 하였다. 연구 방법은 기준 팬텀 3시 방향에 지방 함유율이 0, 10, 20, 30%인 액체 지방 팬텀을 고정하고, 기법별 액체 지방 팬텀 중심부의 신호강도 값을 도출하였다. 그리고 측정된 값을 지방분율 공식을 이용하여 수치화하였다. 연구 결과 각각의 액체 지방 팬텀의 지방분율 측정에서 T2 Dixon 딥러닝 기법과 Dixon 기법이 다른 일반 지방 포화 기법들과 비교해 기준 지방분율에 가장 근접하였다. 그리고 두 기법 간 통계적 차이는 없어 딥러닝 영상 재구성이 지방 포화에 영향을 미치 지 않음을 알 수 있었다. 따라서 딥러닝 기반 T2 터보 스핀 에코 Dixon 기법은 정확한 지방분율로 지방 포화를 할 수 있어 그 유용성이 있다고 생각한다.

노랑비취알락하늘소(가칭)의 제주 유입과 정착을 보고하는 논문에서 오리엔탈과실파리에 대하여 “제주지역에 유입되어 현재 발견되고 있 다”라고 잘못된 인용을 하고 있는 것이 발견되었다. 다행히도 해당 문장이 빨리 발견되어 “제주지역에 유입될 가능성이 있는”으로 수정되었다. 이 를 계기로 검역적으로 민감한 해충의 국내분포여부에 대하여 기술하는 경우 매우 신중하게 검증해야할 필요가 있음을 연구자들에게 강조하고자 한 다. 클라이멕스 모델의 저온 스트레스 지수로 추정한 결과 오리엔탈과실파리는 2022~2023년 겨울 제주에서 생존이 불가능한 것으로 예측되었다. 그러나 노랑비취알락하늘소는 2023년 겨울 영하의 기온을 겪고 월동후 여름철 발생이 확인되었으며 정착에 성공한 것으로 판단된다.