• Journal of the Korean Society of Radiology
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• v.17 no.6
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• pp.843-849
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• 2023

This study attempted to determine the optimal algorithm after quantitatively analyzing noise, SNR, and CNR measurements by reconstructing four algorithms (Standard, Soft, Bone, and Detail) from head and neck CT images of patients who underwent implant surgery. As an analysis method, pixel values were calculated through the region of interest in the reconstructed image using the Image J program. For noise, SNR, and CNR, the region of interest was measured at the location of the pharynx, masseter muscle, and parotid gland in the image, and the mean and SD values were obtained. The values of SNR and CNR were calculated based on the given formula. As a result, the standard algorithm showed the lowest noise and the highest SNR. CNR was highest in the Soft algorithm, but showed no significant difference from the Standard algorithm. Therefore, it is believed that the Standard algorithm is the optimal algorithm for examining patients wearing intraoral implants in head and neck CT examinations. We hope that the data from this study will be used as basic data for image evaluation in head and neck CT examinations, and that the quality of images will be further improved through various algorithm changes. It is believed that this will be an opportunity to do so.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2021.04a
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• pp.43-43
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• 2021

로즈마리(Rosmarinus officinalis)는 지중해 지역이 원산이고 꿀풀과에 속하는 다년생 식물로 자생지에서는 식물의 크기가 2m까지 자라는 관목성 식물이다. 식용, 약용, 미용, 향료뿐 아니라 관상용으로도 널리 이용되고 있고 특히 향이 좋아 세계 로즈마리 추출물 시장은 연평균 4.8%씩 증가하여 2027년에는 10억 달러를 넘을 것으로 예측된다. 우리나라도 소비 트렌드 변화에 따른 이용성 확대로 신선허브의 수요가 증가하고 있으나 아직은 허브 식물원료의 대부분을 수입에 의존하고 있고, 로즈마리 역시 식물원료뿐 아니라 가공품까지 외국에서 수입하여 사용하는 실정이다. 2018년 로즈마리 수입량은 신선상태 978kg, 건조상태 23,404kg으로 높은 수입의존에 따른 가격 상승과 긴 유통기간에 의한 품질 저하 등의 문제가 발생하고 있다. 본 연구는 로즈마리 어린 순 재배 적정 삽수 길이를 설정하고 어린 순 생산 가능 기간을 구명하여 추후에 고품질 로즈마리 어린 순 집약생산을 위한 다단재배기술을 확립하고자 수행되었다. 삽수 길이는 5, 10, 15cm로 하였고, 삽목 시기는 4월 하순 ~ 8월 하순까지 30일 간격으로 5회 실시하였다. 적정 삽수 길이 설정 실험에서는 15cm 삽수 발근률이 85.6%로 가장 높았으며 신초 출현시기는 5월 26일, 어린 순 생산시기는 6월 23일로 가장 빨랐고 수확시까지 소요일수는 56일로 가장 짧았다. 기대수량 또한 728g/m²로 가장 높았다. 로즈마리 어린 순 생산 가능 기간 구명 실험에서는 4월 28일 삽목시 발근율이 85.6%로 가장 높았고 육묘기간은 28일 어린 순 생산까지 소요일수는 56일로 가장 짧았다. 삽목 시기별 어린 순 품질 및 생산량은 4월 28일 삽목시 품질이 좋았으며 기대수량 또한 728g/m²로 가장 높았다. 결과적으로 상품성 있는 어린순 생산에 적합한 삽수 길이는 15cm, 삽목 시기는 4월 하순 경에 했을 때, 로즈마리의 생육상태, 수확까지의 기간, 어린 순 생산량 등 종합적인 면에서 가장 우수한 값을 얻을 수 있었다.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2022.09a
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• pp.41-41
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• 2022

제주 내 크게 6개 지역에 흩어져 분포하고 있는 곶자왈은 화산활동으로 형성되었으며 제주 산림생물자원의 46%가 분포하여 생물종다양성이 매우 높은 것으로 알려져 있다. 곶자왈은 자갈과 바위로 이루어져 있으며 토양이 적게 발달하여 건조에 직면할 가능성이 크다. 본 연구는 곶자왈에서 서식하는 멸종위기종이자 산림청에서 희귀식물로 지정한 개가시나무(Quercus gilva)와 같은 속이면서 공존하고 있는 종가시나무(Quercus glauca)의 건조 내성에 대한 반응을 알아보고자 실내에서 생리 반응을 연구하였다. 온도(22±2.94℃)와 토양 양분(10%)은 자생지의 값을 기준으로 처리하였으며 수분 처리는 토양을 채운 화분에 물이 화분 밑으로 새어나가기 직전까지 포장용수량 700mL를 공급한 후 27일간 단수하였다. 단수기간에 수분함량의 변화는 토양수분함량측정기(Watch Dog)를 설치하여 데이터를 수집하였다. 항목은 토양수분함량에 따른 광합성률, 증산률, 수분이용효율, 기공전도도, Fv/Fm, Fo, Fm, 엽록소함량을 측정하였다. 토양수분함량은 25, 27일째를 제외한 기간에 개가시나무가 종가시나무보다 높았다. 광합성률은 27일째를 제외한 기간에 개가시나무가 종가시나무보다 높았다. 증산률은 4, 5, 11, 14, 25, 27일째에 개가시나무가 종가시나무보다 낮았다. 수분이용효율은 13일째를 제외한 기간에 개가시나무가 종가시나무보다 높았다. 기공전도도는 3, 9일째에 개가시나무가 종가시나무보다 높았다. Fv/Fm은 22, 27일째를 제외한 기간에 개가시나무가 종가시나무보다 높았다. Fo은 3, 14일째를 제외한 기간에 개가시나무가 종가시나무보다 높았다. Fm과 엽록소함량은 기간에 개가시나무가 종가시나무보다 높았다. 이와 같은 실험 결과로 보았을 때 개가시나무가 종가시나무보다 건조 내성에 강한 것으로 판단된다.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2020.08a
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• pp.68-68
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• 2020

최근 농촌진흥청과 기상청에서 발표한 연구자료에 따르면 2020년 기준으로 국내 경지면적의 10% 가량이 이미 아열대 기후대에 속하고 있을 뿐 현재 추세대로 온실가스가 배출될 경우 2100년경 우리나라의 대부분 지역은 아열대 기후대에 속하게 될 것으로 전망되고 있다. 이에 국가 기관뿐만 아니라 많은 지자체에서 기후변화에 대응하여 아열대 작물을 도입하기 위한 시도를 활발하게 추진하고 있다. 아열대 작물 중 국내에서 3번째로 많이 활용되고 있는 삼채는 기능성 물질을 다량으로 함유하고 있어 수요도가 지속적으로 증가하고 있다. 하지만, 삼채의 경우 일반적인 원예 작물과는 달리 실생 종자를 상업적으로 이용하고 있어 종자들의 발아율이 균일하지 못할 뿐만 아니라 발아율이 낮은 문제가 있는 것으로 보고되고 있다. 이에 삼채의 경우 농가에서 정식 시기를 맞추기 어려울 뿐만 아니라 대규모 생산을 위한 공정육묘 시스템의 적용이 어려운 상황에 있다. 종자 프라이밍 기술은 잠재적으로 종자 발아와 식물 생장을 빠르고 균일하게 해줄 수 있는 방법으로 알려져 있지만, 현재 삼채에서는 프라이밍 처리가 종자 발아에 미치는 영향에 대해서 검토한 사례가 없다. 따라서 본 연구는 삼채의 파종 효율을 증진시키기 위한 목적으로 몇 가지 프라이밍 처리 방법이 삼채의 발아특성에 미치는 영향을 검정하고자 하였다. 삼채 종자는 (주)아람종묘사의 종자를 구매하여 강릉원주대학교 생명과학대학에서 수행하였다. 프라이밍 처리는 Hydropriming은 증류수, Osmopriming은 CaCl2 1.0%, Halopriming은 Polyrthylene glycol 6000(PEG) 13.5%의 3가지를 사용하였으며, 각 프라이밍 처리 시간은 6시간, 12시간, 18시간, 24시간, 48시간 총 5가지 방법으로 처리되어 대조구를 포함 총 16개의 처리를 하였다. 프라이밍 처리 된 종자는 페트리디쉬 (50mm)에 30립씩 치상하였다. 프라이밍 각 처리구별 4반복으로 하였으며 24시간 암(Black), 온도 20℃의 조직배양실에서 치상 후 10일간 조사하였다. 본 실험 결과 대조구는 38% 발아율을 가졌으며, 프라이밍 처리 시간에 따른 각 처리구들은 대조구에 비해 발아율이 높아짐을 확인할 수 있었다. 그 중 Hydropriming 12시간 발아율 51%, Osmopriming 18시간 발아율 68%, Halopriming 48시간 발아율 65%로 각 프라이밍 처리구별 가장 좋은 발아율을 확인할 수 있었다. 결론적으로 삼채에서 프라이밍 처리 기술의 적용은 발아율의 향상과 발아기간의 정형화를 유도할 수 있어 농가에서의 일반 육묘는 물론이고 대규모 공정육묘를 위한 저렴하고 안전한 방법 중 하나로써 이용될 수 있을 것으로 기대되어 진다.

• Journal of Korean Society of Forest Science
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• v.112 no.4
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• pp.451-458
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• 2023

As forest fires continue to increase in scale worldwide, the importance of forest roads in relation to forest fire prevention and suppression has become increasingly evident. To ensure effective functioning during a forest fire disaster, it is crucial to apply appropriate road planning and ensure roads' structural integrity. However, previous studies have predominantly focused on the impact of forest fires on firebreak efficacy and road placement, meaning that insufficient attention has been paid to ensuring the safety of these facilities. Therefore, this study sought to compare the strength of concrete facilities within areas damaged by forest fires over the past three years by using the rebound hammer test to identify signs of thermal degradation. The results revealed that concrete facilities damaged by forest fires exhibited significantly lower strength (15.6 MPa) when compared with undamaged facilities (18.0 MPa) (p<0.001), and this trend was consistent across all the target facilities. Consequently, it is recommended that safety assessment criteria for concrete forest road facilities be established to prevent secondary disasters following forest fire damage. Moreover, continuous monitoring and research involving indoor experiments are imperative in terms of enhancing the stability of forest road structures. It is expected that such research will lead to the development of more effective strategies for forest fire prevention and suppression.

• Journal of Internet Computing and Services
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• v.24 no.6
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• pp.161-169
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• 2023

Due to the Fourth Industrial Revolution, innovation in various technologies such as artificial intelligence (AI), big data (Big Data), and cloud (Cloud) is accelerating, and data is considered an important asset. With the innovation of these technologies, various efforts are being made to lead technological innovation in the field of defense science and technology. In Korea, the government also announced the "Defense Innovation 4.0 Plan," which consists of five key points and 16 tasks to foster advanced science and technology forces in March 2023. The plan also includes the establishment of a Condition-Based Maintenance system (CBM+) to improve the operability and availability of weapons systems and reduce defense costs. Condition Based Maintenance (CBM) aims to secure the reliability and availability of the weapon system and analyze changes in equipment's state information to identify them as signs of failure and defects, and CBM+ is a concept that adds Remaining Useful Life prediction technology to the existing CBM concept [1]. In order to establish a CBM+ system for the weapon system, sensors are installed and sensor data are required to obtain condition information of the weapon system. In this paper, we propose a sensor data metadata schema to efficiently and effectively manage sensor data collected from sensors installed in various weapons systems.

• Journal of Internet of Things and Convergence
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• v.9 no.6
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• pp.83-92
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• 2023

The purpose of this study is to provide a rational management strategy to improve the management performance of companies through intellectual property activities. Through this study, we aim to explore countermeasures to strengthen competitiveness in a changing global environment. A survey of 200 companies was conducted from September 1 to October 30, 2023. Statistical analysis was conducted using frequency analysis, exploratory factor analysis, reliability analysis, correlation analysis, multiple regression analysis, and difference analysis. The conclusions are as follows. First, the impact of intellectual property activities on management performance was found to be creation and utilization. Second, the impact of management strategies on management performance was found to be differentiation strategy, cost advantage strategy, and concentration strategy. Third, cost advantage strategy has a partial mediation effect on the relationship between creation activities and managerial performance of intellectual property activities. Fourth, the differentiation strategy has a partial mediating effect on the relationship between the creation of intellectual property activities and managerial performance. In addition, differentiation strategy has a full mediating effect on the relationship between the utilization of intellectual property activities and performance. Fifth, concentration strategy has a partial mediating effect on the relationship between intellectual property activity utilization and management performance. Sixth, there is a difference between creation activities, protection activities, utilization activities, cost advantage strategy, differentiation strategy, financial performance, and non-financial performance based on venture certification status. As the importance of intellectual property is increasing in the era of technological hegemony, IoT companies will need to improve their management performance through venture certification and strategies utilizing intellectual property in order to secure future competitiveness. Based on this study, we hope that IoT companies will maximize their performance by implementing efficient strategies that consider IP activities.

• Journal of the Korean Society of Radiology
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• v.17 no.7
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• pp.1115-1122
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• 2023

This study aimed to present reasonable reception bandwidth application standards for the purpose of suppressing metal objects during MRI examinations. For this purpose, T2 contrast images were acquired using high-speed spin echo technology on a phantom made of screws for spinal surgery, and metal objects were detected. In addition, images were obtained by increasing the reception bandwidth from 100 Hz/PX to 800 Hz/PX by 100 Hz/PX. The metal artifacts were determined as the sum of the areas of the signal attenuation area and the signal accumulation area. In addition, Pearson correlation analysis was performed to analyze the pattern of metal artifacts according to imaging variables. As a result, the signal accumulation area did not change significantly as the reception bandwidth increased (p>0.05), but the signal loss area and the area of metal artifacts decreased as the reception bandwidth increased (p<0.05). Interestingly, the area of metal objects decreased to a maximum in the section where the reception bandwidth was increased from 100 Hz/PX to 200 Hz/PX, consistent with the section where the echo spacing was reduced to a maximum due to the increase in reception bandwidth. In addition, the correlation analysis results also showed that the eco spacing was more related to the signal attenuation area and the area of metal objects than to the reception bandwidth. Therefore, if the reception bandwidth is increased for the purpose of reducing metal objects, it is reasonable to set it based on a value that minimizes the echo spacing in consideration of image quality factors.

• Journal of the Korean Society of Radiology
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• v.17 no.7
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• pp.1123-1131
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• 2023

This study aimed to present a method to effectively suppress metal artifacts caused by spinal fusion surgery during spinal MRI study. For this purpose, a phantom made of spinal surgery screws was created to reproduce the metal artifact. Then, images were acquired with 1.5T and 3.0T MRI to evaluate changes in metal artifacts according to magnetic field strength. In addition, metal artifacts were evaluated by increasing the receive bandwidth to 200, 400 and 800 Hz/PX. As a result, metal artifacts occurring in images obtained from the 1.5T MRI decreased by approximately 52.2% compared to images obtained from the 3.0T MRI, showing a significant difference (p<0.05). In particular, the signal loss and signal pile up areas were reduced by approximately 52.81% and 42.71%, respectively, showing a significant effect in suppressing metal artifacts. On the other hand, when images were acquired while increasing the receive bandwidth from 200 to 800 Hz/PX, there was no significant effect, with a decrease of up to 8.93% for the 1.5T MRI and up to 10.98% for the 3.0T MRI (p>0.05). As a result of this study, increasing the receive bandwidth reduced signal loss and reduced some metal artifacts, but did not have a significant effect because it did not suppress signal pile up. However, when the magnetic field strength was reduced from 3.0T to 1.5T, signal loss and signal pile up were greatly reduced, effectively improving the metal artifact. Therefore, in order to suppress metal artifacts caused by spinal fusion surgery, study using a low magnetic field MRI can be said to be the most effective method.

• Korean Journal of Remote Sensing
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• v.39 no.5_2
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• pp.755-770
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• 2023

Due to recent severe climate change, abnormal weather phenomena, and other factors, the frequency and magnitude of natural disasters are increasing. The need for disaster management using artificial satellites is growing, especially during large-scale disasters due to time and economic constraints. In this study, we have summarized the current status of next-generation medium-sized satellites and microsatellites in operation and under development, as well as trends in satellite imagery analysis techniques using a large volume of satellite imagery driven by the advancement of the space industry. Furthermore, by utilizing satellite imagery, particularly focusing on recent major disasters such as floods, landslides, droughts, and wildfires, we have confirmed how satellite imagery can be employed for damage analysis, thereby establishing its potential for disaster management. Through this study, we have presented satellite development and operational statuses, recent trends in satellite imagery analysis technology, and proposed disaster response strategies that utilize various types of satellite imagery. It was observed that during the stages of disaster progression, the utilization of satellite imagery is more prominent in the response and recovery stages than in the prevention and preparedness stages. In the future, with the availability of diverse imagery, we plan to research the fusion of cutting-edge technologies like artificial intelligence and deep learning, and their applicability for effective disaster management.