• 대한공업교육학회지
• /
• 제33권1호
• /
• pp.23-43
• /
• 2008

이 연구의 목적은 정보영재 학생의 좌 우뇌 활용 성향을 연구하고 이를 통해 정보영재교육에 관련된 연구에 필요한 기초자료를 제공하는데 있다. 연구의 대상으로는 대전광역시교육청 영재학생 298명(정보 59명, 수학 79명, 과학 80명, 발명 40명, 인문 40명) 및 일반 학생 114명 등 총 412명을 선정하였으며, 검사 도구는 Torrance 등이 개발하고 고영희가 우리나라 실정에 맞도록 수정 보완한 '뇌 선호도 검사도구'를 사용하였다. 자료 처리는 빈도분석 및 $x^2$-검증을 통해 실시하였으며, ${\alpha}=.05$ 수준에서 유의도를 검증하였다. 이 연구를 통해 도출된 결과는 다음과 같다. 첫째, 정보영재 학생은 우뇌를 특히 많이 쓰는 성향이 있으며, 그 다음으로 통합뇌 및 좌뇌의 순으로 뇌를 활용하는 것으로 나타났다. 둘째, 정보영재 학생과 일반 학생의 뇌 활용 성향을 비교하였을 때 두 집단 간에는 뇌 활용 성향에 통계적으로 차이가 있는 것으로 나타나지 않았다. 셋째, 우뇌 활용을 선호하는 정보영재 학생과는 달리 다른 분야 영재 학생은 통합뇌를 활용하는 성향이 가장 높았다. 통계적으로도 두 집단 간에 어느 정도 차이가 있는 것으로 나타났다. 넷째, 정보영재 학생 중 남학생은 정보영재 학생 집단 전체에서 보인바와 같이 우뇌를 특히 많이 사용하고, 통합뇌 및 좌뇌의 순으로 뇌를 활용하는 성향을 보인 반면, 여학생은 통합뇌, 우뇌 및 좌뇌의 순으로 뇌를 활용하는 성향을 보였다. 그러나 통계적으로는 여학생에 대한 샘플의 수가 적어 두 집단 간에 차이가 있다는 증거를 찾지는 못하였다.

• 한국정보통신학회:학술대회논문집
• /
• 한국정보통신학회 2021년도 추계학술대회
• /
• pp.594-596
• /
• 2021

Future healthcare systems will heavily rely on ill-labeled data due to scarcity of the experts who are trained enough to label the data. Considering the contamination of the dataset, it is not desirable to make the neural network being overconfident to the dataset, but rather giving them some margins for the prediction is preferable. In this paper, we propose a novel epoch-wise decaying label-smoothing function to alleviate the model over-confidency, and it outperforms the neural network trained with conventional cross entropy by 6.0%.

• 전자공학회논문지B
• /
• 제30B권11호
• /
• pp.74-83
• /
• 1993

This paper presents methodology which enables the derivation of goal ordering rules from the analysis of problem failures. We examine all the possible ways of taking actions that lead to failures. If there are restrictions imposed by a problem state on possible actions to be taken, the restrictions manifest themselves in the form of a restricted set of possible operator bindings. Our method makes use of this observation to derive general control rules which are guaranteed to be correct. The overhead involved in learning is very low because this methodology needs only small amount of data to learn from namely, the goal stacks from the leaf nodes of a failure search tree. Empirical tests show that the rules derived by our system PAL couperform those derived by other systems such as PRODIGY and STATIC.

• 핵의학기술
• /
• 제27권2호
• /
• pp.99-109
• /
• 2023

Purpose: CT scan makes up for the weak point of the nuclear medicine image having a low resolution and also were used for attenuation correction on image reconstruction. Recently, many studies try to make use of CT images additionally, one of them is to measure the bone mineral density(BMD) using Quantitative CT(QCT) software. BMD exams are performed to scan lumbar and femur with DXA(Dual-Energy X-Ray Absorptiometry) in order to diagnose bone disease such as osteopenia, osteoporosis. The purpose of this study is to identify the usefulness of QCT_BMD analyzed with low dose CT images on L-spine Bone SPECT/CT comparing with DXA_BMD. Materials and Methods: Fifty five women over 50 years old (mean 66.4 ± 9.1) who took the both examinations(L-spine Bone SPECT/CT with SIEMENS Intevo 16 and DXA scan with GE Lunar prodigy advance) within 90 days from April 2017 to July 2022, BMD, T-score and disease classification were analyzed. Three-dimensional BMD was analyzed with low dose CT images acquired on L-spine Bone SPECT/CT scan on Mindways QCT PRO^TM software and two-dimensional BMD was analyzed on DXA scan. Basically, Lumbar 1-4 were analyzed and the patients who has lesion or spine implants on L-spine were excluded for this study. Pearson's correlation analysis was performed in BMD and T-score, chi-square test was performed in disease classification between QCT and DXA. Results: On 55 patients, the minimum of QCT_BMD was 18.10, maximum was 166.50, average was 82.71 ± 31.5 mg/cm³. And the minimum of DXA-BMD was 0.540, maximum was 1.302, average was 0.902 ± 0.201 g/cm², respectively. The result shows a strong statistical correlation between QCT_BMD and DXA_BMD(p<0.001, r=0.76). The minimum of QCT_T-score was -5.7, maximum was -0.1, average was -3.2 ± 1.3 and the minimum of DXA_T-score was -5.0, maximum was 1.7, average was -2.0 ± 1.3, respectively. The result shows a statistical correlation between QCT T-score and DXA T-score (p<0.001, r=0.66). On the disease classification, normal was 5, osteopenia was 25, osteoporosis was 25 in QCT and normal was 10, osteopenia was 25, osteoporosis was 20 in DXA. There was under-estimation of bone decrease relatively on DXA than QCT, but there was no significant differences statistically by chi-square test between QCT and DXA. Conclusion: Through this study, we could identify that the QCT measurement with low dose CT images QCT from L-Spine Bone SPECT/CT was reliable because of a strong statistical correlation between QCT_BMD and DXA_BMD. Bone SPECT/CT scan can provide three-dimensional information also BMD measurement with CT images. In the future, rather than various exams such as CT, BMD, Bone scan are performed, it will be possible to provide multipurpose information via only SPECT/CT scan. In addition, it will be very helpful clinically in the sense that we can provide a diagnosis of potential osteoporosis, especially in middle-aged patients.