• Clinical and Experimental Pediatrics
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• v.46 no.6
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• pp.585-590
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• 2003

Purpose : This study is designed to determine the prevalence of cardiovascular autonomic neuropathy and its relationship to risk factors in adolescents with diabetes mellitus(DM). Methods : Ninety-two diabetic patients(80 with type 1 DM and 12 with type 2 DM), ranging from eight to 26 years of age, were studied for cardiovascular autonomic function, and the relationship to age, duration of diabetes, glycated hemoglobin(HbA1c), urinary albumin excretion, and the presence of diabetic retinopathy and abnormal nerve conduction velocities(NCV) were analysed. Autonomic function was assessed by measuring heart rate variation during valsalva manoeuvre, deep breathing and standing from a lying position(30 : 15 ratio), and postural hypotension. Results : Among patients with type 1 DM, 22.5% had early, 8.7% had definite, and 1.3% had severe autonomic dysfunction, and among patients with type 2 DM, 16.7% had early, 8.3% had definite, and 8.3% had severe autonomic dysfunction. On logistic regression analysis including both type 1 and type 2 diabetic patients, the age of the patient(OR=1.133(1.003-1.279), P<0.05) and duration of diabetes(OR=1.148(1.009-1.307), P<0.05) significantly predicted cardiovascular autonomic dysfunction while HbA1c, blood pressure, urinary albumin excretion, and presence of diabetic retinopathy and abnormal NCV did not. The valsalva ratio was borderline or abnormal in 31.5% of patients, the heart rate variation on deep breathing in 41.3%, the 30 : 15 ratio in 14.1%, and postural hypotension in 9.8% of patients. The valsalva ratio and the heart rate variation on deep breathing significantly predicted cardiovascular autonomic dysfunction, but the 30 : 15 ratio and postural hypotension did not. Conclusion : Cardiovascular autonomic dysfunction was found in 32.6% of diabetic patients and 10.8 % of patients had definite or severe involvement. The risk of cardiovascular autonomic dysfunction increased with the patient's age and the duration of DM. This study suggests that the valsalva ratio and the heart rate variation on deep breathing are the most useful tests in evaluating the cardiovascular autonomic function in children and adolescents with DM.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1998.04a
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• pp.270-274
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• 1998

HRV(heart rate variability)분석에 있어서 LF와 HF변수들은 교감신경계나 부교감신경계와 같은 인체내 자율신경계의 반응을 나타내는 유용한 지표로 사용되어져 왔다. 따라서 본 연구에서는 피험자나 실험환경의 상대적인 차이를 고려하여 상하온도차에 따라 변화하는 자율신경계의 반응을 HF/LF변수비를 통해 조사하였다. 전반적인 실험결과를 볼 때, 머리의 온도가 23˚인 경우 두한족열이 두열족한에 비해 HF/LF수치값이 대체로 높은 양상을 보여주었다. 두열족한의 경우 머리/발 온도가 $25^{\circ}C$/19$^{\circ}C$인 경우와 일부피험자를 제외한 27$^{\circ}C$/12$^{\circ}C$조건에서 높은 수치결과를 나타내었고, 두한족열에 있어서는 머리/발 온도가 2$0^{\circ}C$/26$^{\circ}C$인 경우와 23$^{\circ}C$/26$^{\circ}C$인 경우에 전반적으로 높은 수치결과를 보여주었다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.4
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• pp.167-189
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• 2022

In the case of SAE autonomous driving levels 2 and 3, since complete autonomous driving is impossible, the take-over process is essential, and take-over time(TOT) is the most important factor in determining the safety of the autonomous driving system. Accordingly, research on TOT is being actively conducted, but each research is independently conducted and general conclusions that integrate various research results are required. Therefore, in this study, the factors affecting TOT were analyzed using meta-analysis, which integrates the results of individual studies and presents an integrated opinion. As a result of meta-analysis, a total of 10 influencing factors were selected, and most of them were related to the non-driving related task(NDRT) type. In addition, implications for the future research direction of take-over and NDRT were presented.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.6
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• pp.284-298
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• 2023

With the rapid advances in automated driving technology, opportunities to experience automated driving directly or indirectly are being provided to the public. On the other hand, research on the preferred automated driving patterns from the user's perspective has not been conducted in Korea. This study used a driving simulator and an experimental vehicle capable of automated driving to evaluate the user satisfaction regarding longitudinal and lateral accelerations. Automated driving patterns were implemented in a virtual environment simulation using five values of longitudinal and lateral accelerations derived from driving experiments. Among these values, three were implemented through experimental vehicle-based automated driving to evaluate satisfaction and anxiety. The participants evaluated lateral acceleration more sensitively than longitudinal acceleration and showed higher levels of anxiety. Based on these results, the necessity of user-oriented evaluation research for automated driving patterns and the suitability of simulator-based evaluation methods were presented.

• The Journal of the Korea Contents Association
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• v.15 no.3
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• pp.477-487
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• 2015

The purposes of this study was to analyze the relative efficiency of nineteen Jeju Self-Governing Schools (JSGS) in elementary level by using DEA (Data Envelopment Analysis). Major results from the study are as follows: First, there were significant differences on the relative efficiency among JSGS, which might come from operation factors rather than from size factors of JSGS. Second, to improve the relative inefficiency of JSGS, it is quite suggestive that satisfaction of both students and parents would be developed, and that the quality of educational programs should be developed by analyzing especially parents characteristics and reflecting their needs. Lastly, the perspective of efficiency, which is a measure of the optimal usage of available school resources, should be adopted and used for school assessment in order to develop the relative efficiency of JSGS.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.23 no.1
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• pp.42-60
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• 2024

This study analyzed the characteristics of mixed traffic flows with autonomous vehicles on highway weaving sections and assessed the safety of vehicle-following pairs based on surrogate safety indicators. The intelligent driver model (IDM) was utilized to emulate the driving behavior of autonomous vehicles, and the weaving sections were divided into lengths of 300 and 600 meters for analysis within a micro-traffic simulation (VISSIM). Although significant differences were found in the average speed, density, and headway between the two sections through t-test results, no significant differences were observed when comparing the number of conflicts per indicator and the vehicle-following pair. Four safety indicators were selected for the mixed traffic evaluation based on their ability to represent risk levels similar to those perceived by drivers. The safety analysis, based on the selected four indicators, determined that autonomous vehicles following other autonomous vehicles were the safest pairing. Future research should focus on integrating these indicators into a single comprehensive index for analysis.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.1175-1176
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• 2023

전기차의 자율주행을 위해선 차선 인식과 모터 제어가 필요하다. 카메라로 입력된 영상에 허프 변환을 적용하고, 변환된 이진 이미지에 Enet 및 DeepLabv3+ 구조를 활용한 LaneNet 모델을 적용하여 차선을 학습시키고, Fuzzy 제어 기법을 활용하여 모터의 조향이 원활이 되도록 하였다. 기존의 Rule base 기법에 비하여 차선 인식 정확도가 월등히 향상되었으며, 주행 결과 Real-Time 주행환경 판단에 대한 여지를 남겼다.

• Journal of the Korean Society of Marine Environment & Safety
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• v.28 no.6
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• pp.992-1001
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• 2022

The maritime traffic analysis has been conducted in various ways to solve problems arising from the complex marine environment. However, recent trends in the maritime industry, such as the development of the maritime autonomous surface ships (MASS), suggest that maritime traf ic analysis needs change. Accordingly, based on the studies conducted over the past decade for improvements, automatic identification system (AIS) data is mainly used for maritime traffic analysis. Moreover, the use of geographic information that directly af ects ship operation is relatively insufficient. Therefore, this study presented a method of using a combination of shape format data and AIS data to enhance maritime traffic analysis in preparation for the commercialization of autonomous ships. Consequently, extractable marine traffic characteristics were presented when shape format data were used for marine traffic analysis. This is expected to be used for marine traffic analysis for the introduction of autonomous ships in the future.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2002.05a
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• pp.338-341
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• 2002

본 연구에서는 아로마 화장품의 생리ㆍ심리적 효과를 살펴보았다. 20-30대 건강한 성인 여자를 상으로 스트레스 부하 후 아로마 화장품 사용과 무사용의 두 조건에서 중추 신경계의 뇌파(EEG) 중 Alpha파의 주파수 변동리듬(l/f), 자율신경계(ECG, SKT, GSR) 및 주관적 기분감 평가(POMS) 를 실시하였다. 그 결과, 우전두부의 U파 변동리듬계수의 크기와 변동리듬 경사도를 이용한 쾌적도는 무사용에 비해 아로마 화장품 사용에서 시간이 경과됨에 따라 유의하게 증가하였다(p<0.05). SKT에서는 조건간 유의차는 나타나지 않았으나 GSR에서는 무사용에 비해 아로마 화장풍 사용 후 유의하게 감소하였다(p<0.1). 주관적 기분감 평가(POMS)에서는 무사용에 비해 아로마 화장품 사용 후 성냄, 혼란 항목의 득점이 유의하게 감소하였다(p<0.1). 이상의 결과로부터 스트레스 부하 후 사용한 아로마 화장품의 스트레스 해소 경향 즉 Relax, 진정 효과가 확인되었다.

• Journal of Convergence for Information Technology
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• v.9 no.8
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• pp.9-19
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• 2019

The effects of artificial intelligence technology is social science research as research on the impact on industry and changes in daily life, etc. This means that developing 'emotion AI' will prepare 'next-generation 3D-vector-sensitive AI'. This suggests the main keywords of the tertiary AI decision-making power. Particularly important results will be achieved because of the importance of current unethical learning and the implementation of decision-making systems that reflect ethical value judgments. This is a data based simulation, and required (1)Available data, (2)the technology for the goal of simulation. This takes into account the general content of the intended simulation based research. Currently, existing researches focus on meaningful research motivation, but this study presents the direction of technology. So, empirical analysis is consistent with the decision-making power of each country vs. new technology firms for AI on ehtic responsibility. As a result, there is a need for a concrete contribution and interpretation that can be achieved for the ethic Responsibility, on the technical side of AI / ML. In AI decision making, analytic power of human empathy should be included tech own trust.