Fermented foods of Korean temple are vegetable-based foods and their seasonings are limited to five pungent herbs. The aim of this study was to investigate cell-free supernatants (CFS) of lactic acid bacteria isolated from the fermented foods of Korean temples. Three selected CFS significantly inhibited the biofilm formation of Escherichia coli O157:H7 at 24 h, while one of the selected CFS markedly inhibited the biofilm formation at 72 h. However, only one CFS significantly attenuated the biofilm formation of Staphylococcus aureus at 24 h, but these CFS failed to inhibit the biofilm formation. Moreover, selected CFS effectively inhibited the growth of E. coli O157:H7, whereas the growth of S. aureus was not affected in the presence of CFS. These results suggest that CFS of lactic acid bacteria isolated from fermented foods of Korean temples shows antimicrobial activity agasint Gram-negative E. coli O157:H7, but not at Gramd-positive S. aureus .

The status of probiotics is increasing worldwide and the range of application of probiotics is also being extended to the livestock industry. The use of probiotics in the swine industry aims to improve animal health and productivity by forming a healthy gut microbiota. Intensive pig breeding, a common breeding method in modern society, causes physiological stress in pigs, resulting in imbalance of the intestinal microbiota and dysfunction of the intestinal barrier. We conducted a scientific research on the properties of probiotics for multi-strain probiotics (MSP) and observed the economic benefits and efficiency of culturing MSP through a self-cultivation system in livestock. Initially, we observed alteration occurred by MSP application in the gut microbiota of pig. MSP were characterized to have resistance to digestive juices such as gastric acid and bile, followed by colonization in the target organ, the gastro-intestinal tract (GIT). In addition, MSP was also confirmed to have antibacterial ability against pathogenicity that most frequently infected in the swine industry and showed low resistance to antibiotics which means guaranteed stability when added to feed. The growth rate of probiotics in the optimized medium used in the self-cultivation system was suitable for efficiently and economically culturing and feeding pigs with high concentrations of probiotics, considering the ingredient price and the growth efficiency. We observed the significant alteration of gut microbiota of pig by application of MSP. Importantly, the MSP supplementation significantly increased the beneficial bacteria genus of Bifidobacterium that confer a health benefit to the host in pig GIT, whereas decreased the number of harmful bacteria including coliforms. In addition, MSP influenced on the uniformity of gut microbiota at both of sow and weaning pigs. Taken together, the application of MSP with high concentration of probiotics using self-cultivation system may critically improve the pig health by regulation intestinal microbiota.

A new lighting support structure composing of two-way wires and pulley, a pulley-type wireway system, was developed to improve the seismic performance of a ceiling type lighting equipment. This study verifies the seismic performance of the pulley-type wireway system using a numerical approach. A theoretical model fitted to the physical features of the newly-developed system was proposed, and it was utilized to compute a frictional coefficient between the wire and pulley sections under tension forces. The frictional coefficient was implemented to a finite element model representing the pulley-type wireway system. Using the numerical model, the seismic responses of the pulley-type wireway system were compared to those of the existing lighting support structure, a one-way wire system. The addition of the pulley component resulted in the increasement of energy absorption capacity as well as friction effect and showed in significant reduction in maximum displacement and oscillation after the peak responses. Thus, the newly-developed wireway system can minimize earthquake-induced vibration and damage on electric equipment.

Oxide semiconductor, represented by a-IGZO, has been commercialized in the market as active layer of TFTs of display backplanes due to its various advantages over a-Si. a-IGZO can be deposited at room temperature by RF magnetron sputtering process; however, additional thermal annealing above 300oC is required to obtain good semiconducting properties and stability. These temperature are too high for common flexible substrates like PET, PEN, and PI. In this work, effects of microwave annealing time on IGZO thin film and associated thin-film transistors are demonstrated. As the microwave annealing time increases, the electrical properties of a-IGZO TFT improve to a degree similar to that during thermal annealing. Optimal microwave annealed IGZO TFT exhibits mobility, SS, Vth, and VH of 6.45 cm2/Vs, 0.17 V/dec, 1.53 V, and 0.47 V, respectively. PBS and NBS stability tests confirm that microwave annealing can effectively improve the interface between the dielectric and the active layer.

This paper proposes an outlier detection model based on machine learning that can diagnose the presence or absence of major engine parts through unsupervised learning analysis of main engine big data of a ship. Engine big data of the ship was collected for more than seven months, and expert knowledge and correlation analysis were performed to select features that are closely related to the operation of the main engine. For unsupervised learning analysis, ensemble model wherein many predictive models are strategically combined to increase the model performance, is used for anomaly detection. As a result, the proposed model successfully detected the anomalous engine status from the normal status. To validate our approach, clustering analysis was conducted to find out the different patterns of anomalies the anomalous point. By examining distribution of each cluster, we could successfully find the patterns of anomalies.

In this study, the Bayesian state-space model was used for the stock assessment of the Blackfin flounder. In addition, effective measures for the resource management were presentedwith the analysis on the effectiveness of fisheries management plans. According to the result of the analysis using the Bayesian state-space model, the main biometric value of Blackfin flounder was analyzed as 1,985 tons for maximum sustainable yield (MSY), 23,930 tons for carrying capacity (K), 0.000007765 for catchability coefficient (q) and 0.31 for intrinsic growth (r). Also the evaluation on the biological effect of TAC was done. The result showed that the Blackfin flounder biomass will be kept at 14,637 tons 20 years later given the present TAC volume of 1,761 tons. If the Blackfin flounder TAC volume is set to 1,600 tons, the amount of biomass will increase to 16,252 tons in the future. Lastly, the biological effectiveness of the policy to reduce fishing effort was assessed. The result showed that the Blackfin flounder biomass will be maintained at 13,776 tons if the current fishing efforts (currently hp) level is set and maintained. If the fishing effort is reduced by 20%, it will increase to 17,091 tons in the future. The analysis on the economic effect of TAC showed that NPV will be the lowest at 1,486,410 won in 2038, 20 years after the establishment of 2,500 tons of TAC volume. If the TAC volume is set at 2,000 tons, NPV was estimated to be the highest at 2,206,522,000 won. In addition, the analysis on the economic effect of the policy to reduce the amount of fishing effort found that NPV will be 2,235,592,000 won in 2038, 20 years after maintaining the current level of fishing effort. If the fishing effort is increased by 10%, NPV will be the highest at 2,257,575 won even thoughthe amount of biomass will be reduced.

기후 변화에 따른 이상기상 등 농업환경변화에 따른 농작물의 생산성 및 품질 저하 등의 문제가 발생하고 있다. 최근에는 이러한 문제를 해결하기 위해 정보통신기술(Information & Communications Technology; ICT), 사물인터넷 (Internet of Things; IoT) 및 인공지능(Artificial Intelligence; AI) 등을 이용한 지능한 작물 모델 개발과 정보화 자원 구축 등의 연구가 진행되고 있다. 국내의 ICT를 적용한 스마트팜은 비닐하우스와 같은 시설 내부 환경을 제어하는 기술로 구성되어 있으나 국내 농경지 면적의 95%는 노지로 되어 있어 노지에 쉽게 적용할 수 있는 농업 ICT 기술 이 필요하다. 따라서 본 연구는 노지 작물의 지능형 생육 환경 모델 개발을 위한 IoT 기반 환경 데이터 획득 시스 템을 구축하고 시계열 계측을 통해 농작물 생육의 주요 인자인 토양 수분과 토양 온도의 변화 특성을 파악하고자 한다. 본 실험은 전북 완주군 소재 국립식량과학원 풍산나물콩 및 대풍콩 재배 포장에 환경데이터 획득 시스템을 구축하였으며 IoT 기반 토양센서(Sentek Drill&Drop, Australia)을 통해 토양의 수분 및 온도를 측정하였다. 토양 센 서는 서로 간섭을 최소화하기 위해 일정 간격으로 설치하고 지면으로부터 전극을 깊이 30 cm 까지 삽입시킨 후 20년 07월 04일부터 20년 10월 07일까지 깊이 10 cm, 20 cm, 30 cm의 토양 수분 및 온도의 시계열 변화를 비교 분 석하였다. 토양 수분 및 온도 변화는 지면으로부터 깊이 10 cm, 20 cm, 30 cm 순으로 크게 나타났다. 본 연구의 결 과는 4차 산업 기술의 농업적 적용성을 높이기 위한 빅데이터 구축 및 노지 스마트팜 기술 기반 확보를 위한 자료 로 활용될 수 있을 것으로 판단된다.

최근 소비자의 식생활 소비 패턴이 고품질 및 안전한 먹거리를 선호하는 추세로 바뀜에 따라 색깔, 크기 등 외 관뿐만 아니라 내부품질까지 규격화된 고품질의 농산물을 대량으로 요구하고 있으며 이러한 이유로 고품질 과일 선별을 위해 APC에서는 비파괴센서를 이용한 선별을 시행하고 있다. 그러나 비파괴 선별기술은 선별 사과의 크기 및 자세에 따라 과일과의 광원 및 센서와의 거리가 달라져 정확도 차이가 나타나므로 선별 정확도 향상을 위해서 는 사과 자세에 따른 형상 특성에 대한 연구가 필요하다. 따라서, 본 연구에서는 과일 내부 품질 측정 정확도 기술 을 고도화하기 위해 CCD(Charge Couled Device) 카메라를 사용하여 투입된 과일 자세에 따른 영상 특성을 조사하 고자한다. 본 실험에서는 사전에 선별사에 육안으로 선별된 정품과 비품 과형 후지 사과를 이용하였다. 사과 크기 별(대, 중, 소)로 사과의 정품 형상과 비품 형상 영상을 CCD (mvBlueFOX, Germany) 카메라를 통해 촬영하였으며 하나의 사과 시료에서 상면 꼭지를 중심으로 좌우 0°~135°범위에서 45° 씩 회전, 상하 45° 회전하여 각 32장의 형 상 영상을 획득하였다. 획득된 사과 영상에서 사과의 윤곽선을 추출하고 사과의 장축과 단축을 픽셀 단위로 계산 하여 자세에 따른 사과의 최대, 최소 직경을 비교 분석하였다. 본 연구 결과는 CCD 영상 처리 분석을 이용하여 농 산물유통센터의 주요 취급 과실인 사과의 형상 및 크기 자동 인식을 위한 최적 영상 측정 조건을 구명하고 과일 크기 자동인식 알고리즘 개발하기 위한 기초자료로 활용될 것으로 판단된다.