• 한국농공학회논문집
• /
• 제61권4호
• /
• pp.43-54
• /
• 2019

The present study aims to monitor three of the community empowerment projects implemented as part of the community central revitalization projects in Yeongwol. We used an established indicator (i.e., quantitative evaluation) as well as an interview (i.e., qualitative evaluation) throughout the monitoring process. The PM (project manager) committee members, consisting of six interdisciplinary experts, carried out the monitoring from $24^{th}$ of October until the $26^{th}$ of November 2018. We categorized the results of the monitoring into the aspects of needs, software, and hardware, and analyzed them as follows: First, although the locals were willing to take part in programs, they were in overall not well informed about the ongoing programs and the program that suits their needs the most. The service organization should therefore actively publicize the program and provide sufficient information about it .Second, instead of a one-off program, the locals should be empowered to take over the program eventually and develop it as a local business model. Last, the locals from the center as well as the outskirts of Yeongwol should organize a learning net, collaboratively develop a further program, and assess its effectiveness by employing a thorough monitoring system.

• 한국빅데이터학회지
• /
• 제8권2호
• /
• pp.149-163
• /
• 2023

지속적인 이커머스 시장의 성장으로 풀필먼트센터가 처리해야 하는 주문량은 증가하였고, 다양한 고객 요구사항은 주문 처리의 복잡성을 높이고 있다. 이러한 추세와 함께 최근 인건비 증가로 인해 풀필먼트센터의 운영 효율성이 기업 경영 관점에서 더욱 중요해지고 있다. 본 연구는 풀필먼트센터의 출고 프로세스 중 포장 작업 영역에 적용 가능한 박스 추천을 중심으로 연구를 수행하였다. 박스 추천을 하기 위해 과거 실적 데이터를 기계학습 모형의 학습 데이터로 사용하였다. 상품 정보, 주문 정보, 포장 정보, 배송 정보 4가지 종류의 데이터를 전처리, 변수 가공 과정을 거쳐 기계학습 모델에 적용하였다. 입력 벡터로는 상품 규격 정보에 해당하는 width, length, height 3가지 특성을 사용하였으며, 상품의 실수 정보를 구간별 정수체계로 변환하는 변수 가공 과정을 통해 입력 벡터의 특성을 추출하였다. 기계학습 모형별 성능을 비교한 결과 GradientBoosting 모델을 적용하였을 경우 21개의 구간으로 상품 규격 정보를 정수로 변환하였을 때 95.2%로 가장 높은 정확도로 예측을 수행함을 확인하였다. 본 연구는 풀필먼트센터에서 잘못된 박스 선택으로 인해 발생하는 물류비용의 증가와 박스 포장 소요 시간의 비효율을 줄이기 위한 방안으로 기계학습 모형을 제시하며, 상품 규격 정보의 특성을 효과적으로 추출하기 위한 변수 가공 처리 방식을 제안한다.

• 한국의학물리학회지:의학물리
• /
• 제30권4호
• /
• pp.94-103
• /
• 2019

Purpose: To evaluate the clinical feasibility of knowledge-based planning (KBP) for volumetric-modulated arc radiotherapy (VMAT) in spine stereotactic body radiotherapy (SBRT). Methods: Forty-eight VMAT plans for spine SBRT was studied. Two planning target volumes (PTVs) were defined for simultaneous integrated boost: PTV for boost (PTV-B: 27 Gy/3fractions) and PTV elective (PTV-E: 24 Gy/3fractions). The expert VMAT plans were manually generated by experienced planners. Twenty-six plans were used to train the KBP model using Varian RapidPlan. With the trained KBP model each KBP plan was automatically generated by an individual with little experience and compared with the expert plan (closed-loop validation). Twenty-two plans that had not been used for KBP model training were also compared with the KBP results (open-loop validation). Results: Although the minimal dose of PTV-B and PTV-E was lower and the maximal dose was higher than those of the expert plan, the difference was no larger than 0.7 Gy. In the closed-loop validation, D_1.2cc, D_0.35cc, and D_mean of the spinal cord was decreased by 0.9 Gy, 0.6 Gy, and 0.9 Gy, respectively, in the KBP plans (P<0.05). In the open-loop validation, only D_mean of the spinal cord was significantly decreased, by 0.5 Gy (P<0.05). Conclusions: The dose coverage and uniformity for PTV was slightly worse in the KBP for spine SBRT while the dose to the spinal cord was reduced, but the differences were small. Thus, inexperienced planners could easily generate a clinically feasible plan for spine SBRT by using KBP.

• 한국지구과학회지
• /
• 제25권3호
• /
• pp.129-141
• /
• 2004

A peer assessment method was implemented as part of an action research project where the primary goal was to create constructivist science classrooms. Student reflective writings, which had been created in the process of action research, were analyzed to examine the perceptions of the students concerning the peer assessment method employed in their earth science classrooms. Five perception categories and thirteen statements were developed from the student writings. These indicated that the students appreciated the positive nature of peer assessment and the effects of it as an alternative method for promoting learning. It was also revealed, however, that some students displayed inappropriate behaviors toward peer assessment which led to negative perceptions of the new assessment method. Implications for future use of peer assessment in science classrooms are discussed. Limitations founded in the present study as well as possible solutions are provided.

• Korean Journal of Radiology
• /
• 제21권8호
• /
• pp.987-997
• /
• 2020

Objective: Measurement of the liver and spleen volumes has clinical implications. Although computed tomography (CT) volumetry is considered to be the most reliable noninvasive method for liver and spleen volume measurement, it has limited application in clinical practice due to its time-consuming segmentation process. We aimed to develop and validate a deep learning algorithm (DLA) for fully automated liver and spleen segmentation using portal venous phase CT images in various liver conditions. Materials and Methods: A DLA for liver and spleen segmentation was trained using a development dataset of portal venous CT images from 813 patients. Performance of the DLA was evaluated in two separate test datasets: dataset-1 which included 150 CT examinations in patients with various liver conditions (i.e., healthy liver, fatty liver, chronic liver disease, cirrhosis, and post-hepatectomy) and dataset-2 which included 50 pairs of CT examinations performed at ours and other institutions. The performance of the DLA was evaluated using the dice similarity score (DSS) for segmentation and Bland-Altman 95% limits of agreement (LOA) for measurement of the volumetric indices, which was compared with that of ground truth manual segmentation. Results: In test dataset-1, the DLA achieved a mean DSS of 0.973 and 0.974 for liver and spleen segmentation, respectively, with no significant difference in DSS across different liver conditions (p = 0.60 and 0.26 for the liver and spleen, respectively). For the measurement of volumetric indices, the Bland-Altman 95% LOA was -0.17 ± 3.07% for liver volume and -0.56 ± 3.78% for spleen volume. In test dataset-2, DLA performance using CT images obtained at outside institutions and our institution was comparable for liver (DSS, 0.982 vs. 0.983; p = 0.28) and spleen (DSS, 0.969 vs. 0.968; p = 0.41) segmentation. Conclusion: The DLA enabled highly accurate segmentation and volume measurement of the liver and spleen using portal venous phase CT images of patients with various liver conditions.

• 한국IT서비스학회지
• /
• 제12권3호
• /
• pp.231-252
• /
• 2013

The Republic of Korea has made major strides in Information and Communication Technology (ICT) over the last five decades. After going through continuous efforts in e-Government and national informatization, Korea has become one of the global E-government leaders. Korea's E-government Development Index ranking assessed by the United Nations improved from 15th in 2001 to the top in 2010 and 2012 out of 192 countries worldwide, and its E-participation Index ranking was also ranked 1st in 2010& 2012. In addition, many of Korea's E-government practices until now have been introduced to the world as the best cases and received worldwide acknowledgement. The importance of official development aid/assistance (ODA) through informatization is especially gaining attention as Korea has joined the OECD Development Assistance Committee (DAC) and its status has significantly improved within international organizations. The Korean government has selected countries that have high potential in trade, economic, and E-government cooperation or those that are selected as ODA priority countries by the international community and has carried out various activities including ICT consultation, ICT Cooperation Center operation, and ICT learning programs. With joining the OECD DAC, Korea's overseas aid projects are expected to increase and be carried out in a more systematic manner. Also in the area of informatization, the importance of not only the overseas aid 'in ICT' itself but also the overseas aid 'through ICT' is increasing along with the expanding scale for more efficient and influential support. The Korean government's comprehensive reach of international projects in the ICT arena, aims to foster the global partnership for development by sharing and expanding the benefits of ICTs. The Korean government recognizes its advances and has endeavored to share them with others through participation in international forums and hosting of workshops.

• 한국항행학회논문지
• /
• 제16권3호
• /
• pp.495-503
• /
• 2012

사회의 변화에 따라 교육현장도 급격하게 발전하고 있다. 1996년 9월 1일 교수학습사이트인 에듀넷 시스템을 개발 보급한 이래 교수학습지원센터, 사이버가정학습 시스템을 비롯하여 진단처방시스템, 화상강의 및 상담시스템, 학력관리시스템을 지속하여 개발하였으나 상호 연계성이 부족하여 교육수요자들에게 큰 호응을 얻지 못하였다. 이는 여러 가지 원인이 있으나 새로운 변화를 예측하거나 비전을 제시하기보다 그 때마다 새로 구축하여 연속성이나 지속성을 고려하지 못한 결과이다. 스마트교육에 적합한 시스템은 독립된 시스템을 단순한 통합로그인에 의한 시스템보다 가장 기본이 되는 데이터베이스시스템에 빅데이터 개념을 도입, 다양한 데이터를 유용한 정보로 분석 가공하여 교육수요자에게 제공한 시스템으로 통합이 이루어 져야하며, 클라우드 컴퓨팅 시스템이 단순한 파일을 관리하고 응용프로그램을 제공하는 시스템이 아니라 다양한 형태의 콘텐츠와 데이터를 관리하고 제공할 수 있는 형태로 구축하여야 한다.

• 공학교육연구
• /
• 제27권3호
• /
• pp.3-13
• /
• 2024

Since the launch of ChatGPT, many college students used it extensively in various ways in their curricular learning activities. This study investigates the utilization of ChatGPT in the curriculum of first and second-year engineering students, aiming to examine its influence from a learner perspective. We explored how ChatGPT is used in each subject and learning activity to understand how learners perceive the use of ChatGPT. From the survey data on engineering college students at E university, we examined students' perception on 'shortening time to perform tasks' through ChatGPT, 'dependence on ChatGPT', 'their contribution to individual capacity building', and 'their influence on academic grade'. The majority of students reported extensive use of ChatGPT for learning activities, particularly showing high dependency in liberal arts subjects and coding-related activities. While the use of ChatGPT in liberal arts was seen as not contributing to the enhancement of individual capacity, its use in coding was positively evaluated. Furthermore, the contribution of ChatGPT to the creativity in report writing tasks was highly rated. These findings offer several important implications for the use of AI tools like ChatGPT in engineering education. Firstly, the positive impact of ChatGPT's high usability and individual-capacity enhancement in coding should be expanded to other areas of learning. Secondly, as AI technology progresses, the contribution of AI tools compared to learners is expected to increase, suggesting that students should be encouraged to effectively use AI tools to achieve their learning objectives while maintaining a balanced approach to avoid overreliance on AI.

• Journal of Korean Neurosurgical Society
• /
• 제67권1호
• /
• pp.60-72
• /
• 2024

Objective : Recently, robotic-assisted spine surgery (RASS) has been considered a minimally invasive and relatively accurate method. In total, 495 robotic-assisted pedicle screw fixation (RAPSF) procedures were attempted on 100 patients during a 14-month period. The current study aimed to analyze the accuracy, potential risk factors, and learning curve of RAPSF. Methods : This retrospective study evaluated the position of RAPSF using the Gertzbein and Robbins scale (GRS). The accuracy was analyzed using the ratio of the clinically acceptable group (GRS grades A and B), the dissatisfying group (GRS grades C, D, and E), and the Surgical Evaluation Assistant program. The RAPSF was divided into the no-breached group (GRS grade A) and breached group (GRS grades B, C, D, and E), and the potential risk factors of RAPSF were evaluated. The learning curve was analyzed by changes in robot-used time per screw and the occurrence tendency of breached and failed screws according to case accumulation. Results : The clinically acceptable group in RAPSF was 98.12%. In the analysis using the Surgical Evaluation Assistant program, the tip offset was 2.37±1.89 mm, the tail offset was 3.09±1.90 mm, and the angular offset was 3.72°±2.72°. In the analysis of potential risk factors, the difference in screw fixation level (p=0.009) and segmental distance between the tracker and the instrumented level (p=0.001) between the no-breached and breached group were statistically significant, but not for the other factors. The mean difference between the no-breach and breach groups was statistically significant in terms of pedicle width (p<0.001) and tail offset (p=0.042). In the learning curve analysis, the occurrence of breached and failed screws and the robot-used time per screw screws showed a significant decreasing trend. Conclusion : In the current study, RAPSF was highly accurate and the specific potential risk factors were not identified. However, pedicle width was presumed to be related to breached screw. Meanwhile, the robot-used time per screw and the incidence of breached and failed screws decreased with the learning curve.

• 벤처창업연구
• /
• 제17권6호
• /
• pp.115-125
• /
• 2022

디지털 경제가 새로운 비즈니스 질서를 구축하고 새로운 가치 창출 수단으로 떠오르면서, 디지털 플랫폼에 참여하는 소상공인도 점차 증가하고 있다. 본 연구는 디지털 플랫폼에 참여하는 소상공인이 플랫폼 내에서 이루어지는 학습을 통해 시장 환경에 적절히 대응하고 성장에 필요한 전략 수립 및 실행하는 데에 도움을 받고 있는지 확인하고자 하는 목적을 가진다. 이를 위하여 본 연구는 이커머스 플랫폼을 이용하는 소상공인의 흡수능력이 시장 반응성에 미치는 영향과 플랫폼 내의 두 가지 학습의 유형인 대리 학습과 경험적 학습의 조절 효과에 대해 살펴보고자 하였다. 설문조사를 통해 가설을 검증한 결과, 디지털 플랫폼을 이용하는 소상공인의 흡수역량이 이들의 시장 반응성에 긍정적인 영향을 미치는 것으로 나타났다. 또한 조절효과 분석 결과, 플랫폼 내에서의 대리 학습이 흡수역량과 시장 반응성 간의 관계를 강화하는 것을 알 수 있었다. 이는 소상공인이 대리학습을 통해 얻는 간접적인 학습을 통해 시장 불확실성에 대비할 수 있을 뿐 아니라 시장니즈에 부합하는 제품과 서비스를 제공할 수 있는 전략을 수립할 수 있다는 점을 시사한다. 한편, 경험적 학습의 효과는 시장 반응성을 낮추는 것으로 나타났는데, 이는 이전 사업 경험이 오히려 환경에 대한 주의력을 저하시킬 수 있음을 의미한다. 이에 대한 연구의 의의와 시사점을 제시하였다.