• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.433-434
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• 2023

본 논문에서는 미디어파이프와 아이트래킹의 손동작 및 눈 위치 인식을 이용하여 차량 내 조작할 수 있는 다양한 기능을 감압식 버튼이 아닌 카메라를 이용한 동작 기능을 제공해주는 차량 인포테인먼트시스템을 제안한다. 인공지능 모델은 Open-CV 구조를 활용하여 학습을 진행하였고, 라즈베리파이를 이용하여 구현하였다. 제안된 시스템은 운전자를 위해 설계된 다양한 동작들을 시각 정보로 전달해 운전 중 불편함을 대체할 수 있을 뿐만 아니라, 설치 및 사용방법이 간편하여 활용도가 높을 것으로 기대된다.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.11a
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• pp.237-238
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• 2023

Urbanization and the increase in building scale have amplified the complexity of M.E.P design. Traditional design methods face limitations when considering intricate pathways and variables, leading to an emergent need for research in automated design. Initial algorithmic approaches encountered challenges in addressing complex architectural structures and the diversity of M.E.P types. However, with the launch of OpenAI's ChatGPT-3.5 beta version in 2022, new opportunities in the automated design sector were unlocked. ChatGPT, based on the Large Language Model (LLM), has the capability to deeply comprehend the logical structures and meanings within training data. This study analyzed the potential application and latent value of LLMs in M.E.P design. Ultimately, the implementation of LLM in M.E.P design will make genuine automated design feasible, which is anticipated to drive advancements across designs in the construction sector.

• Journal of Sensor Science and Technology
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• v.33 no.2
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• pp.78-85
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• 2024

We proposed a method for visual place recognition that represents images using objects as visual words. Visual words represent the various objects present in urban environments. To detect various objects within the images, we implemented and used a zero-shot detector based on a large-scale image language model. This zero-shot detector enables the detection of various objects in urban environments without additional training. In the process of creating histograms using the proposed method, frequency-based weighting was applied to consider the importance of each object. Through experiments with open datasets, the potential of the proposed method was demonstrated by comparing it with another method, even in situations involving environmental or viewpoint changes.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.705-706
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• 2024

본 논문에서는 pdf 파일 형태로 주어진 119 구조대원 현장지침을 Open AI의 Llama index에 학습시켜 대화형 모델을 만들고 응급현장에서 발생할 수 있는 질의들을 쿼리 엔진에 제시하고 그 결과의 타당성을 확인한다. 기존 지식모델에서 학습된 내용과 추가된 정보에서 추론된 결과들이 제시되고 있으나 안정적인 사용을 위해서는 필요한 정보들만 요약하는 전처리 과정에 대한 설계가 필요하며 FHIR에 기반한 환자 정보 분석 모델과 결합된다.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.786-787
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• 2024

Large Language Model은 그 기능으로 말미암아 여러 애플리케이션에 통합되고 있다. 특히 OpenAI는 ChatGPT에 여러 세부 사항을 설정함으로써 차별화된 기능을 사용자가 제공할 수 있도록 한다. 하지만 최근 제시되는 프롬프트 연출 공격은 서비스의 핵심 요소를 쉽게 탈취할 수 있는 가능성을 제시한다. 본 연구는 지침 우회 방법론을 통해 기본 대비 공격의 성공률을 10%p 올렸다. 또한 유출공격을 평가할 수 있는 유효성과 성공률을 통해 모델의 방어 성능을 일반화한다.

• Journal of Digital Contents Society
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• v.19 no.4
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• pp.837-844
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• 2018

Recently, the cloud technology has made dynamical network changes by enabling the construction of a logical network without building a physical network. Despite recent research on the cloud, it is necessary to study security functions for the identification of fake virtual network functions and the encryption of communication between entities. Because the VNFs are open to subscribers and able to implement service directly, which can make them an attack target. In this paper, we propose a virtual public key infrastructure mechanism that detects a fake VNFs and guarantees data security through mutual authentication between VNFs. To evaluate the virtual PKI, we built a management and orchestration environment to test the performance of authentication and key generation for data security. And we test the detection of a distributed denial of service by using several AI algorithms to enhance the security in NFV.

• Korean Journal of Community Nutrition
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• v.14 no.4
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• pp.451-461
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• 2009

The purpose of this study was to investigate the age-related changes of cardiovascular disease risk factors and inflammatory markers in non-obese Korean women. Subjects were 112 women over 20 years old with body mass index (BMI) less than $30 kg/m^2$ and were divided into 3 groups (< 40 years, $40{\sim}59$ years, ${\ge}60$ years). Mean weight and BMI in the oldest group were significantly higher than those in the other 2 younger groups (p < 0.05). Mean total cholesterol, triglyceride, LDL-cholesterol and apolipoprotein B/apolipoprotein A1 ratio (BAR) in the oldest group were significantly higher than those in the youngest group (p < 0.05), and mean HDL-cholesterol of the oldest group was significantly lower than that of the youngest group (p < 0.05). The older-aged group showed significantly higher mean values of atherogenic index (AI) and LDL/HDL ratio (p < 0.05) than the respective younger-aged group, and AI was significantly correlated with age, nitric oxide and thiobarbituric acid reactive substances (p < 0.01). In addition, mean vascular cell adhesion molecule-l (VCAM-1) tended to be higher in the older-aged group than the younger group. Tumor necrosis factor-${\alpha}$, a proinflammatory maker, was significantly positively correlated with serum homocysteine, a cardiovascular disease risk factor (p < 0.01). In addition, a significantly positive correlation was observed between C-reactive protein and BAR (p < 0.01). Overall results suggested that the aging might affect the increase of cardiovascular disease risk factors including the serum lipid profiles, weight and BMI, and age-related increases of weight and BMI might play a role in changes in certain biomarkers of inflammation. (Korean J Community Nutrition 14(4) : 451${\sim}$461, 2009)

• Nutrition Research and Practice
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• v.7 no.6
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• pp.430-438
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• 2013

Increased oxidative stress in obese diabetes may have causal effects on diabetic complications, including dyslipidemia. Lipopolysccharides (LPS) along with an atherogenic diet have been found to increase oxidative stress and insulin resistance. Cranberry has been recognized as having beneficial effects on diseases related to oxidative stress. Therefore, we employed obese diabetic animals treated with an atherogenic diet and LPS, with the aim of examining the effects of cranberry powder (CP) on diabetic related metabolic conditions, including lipid profiles, serum insulin and glucose, and biomarkers of oxidative stress. Forty C57BL/KsJ-db/db mice were divided into the following five groups: normal diet + saline, atherogenic diet + saline, atherogenic diet + LPS, atherogenic diet + 5% CP + LPS, and atherogenic diet + 10% CP + LPS. Consumption of an atherogenic diet resulted in elevation of serum total cholesterol and atherogenic index (AI) and reduction of high density lipoprotein (HDL)-cholesterol. However, with 10% CP, the increase in mean HDL-cholesterol level was close to that of the group with a normal diet, whereas AI was maintained at a higher level than that of the group with a normal diet. LPS induced elevated serum insulin level was lowered by greater than 60% with CP (P < 0.05), and mean serum glucose level was reduced by approximately 19% with 5% CP (P > 0.05). Mean activity of liver cytosolic glutathione peroxidase was significantly increased by LPS injection, however it was reduced back to the value without LPS when the diet was fortified with 10% CP (P < 0.05). In groups with CP, a reduction in mean levels of serum protein carbonyl tended to occur in a dose dependent manner. Particularly with 10% CP, a reduction of approximately 89% was observed (P > 0.05). Overall results suggest that fortification of the atherogenic diet with CP may have potential health benefits for obese diabetes with high oxidative stress, by modulation of physical conditions, including some biomarkers of oxidative stress.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.856-859
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• 2013

Ships and marine structures(lighthouses and buoys for AtoN) have AIS(Automatic Identification System) for transmission messages which include navigational and environmental information. VTS Center and surrounding ships receive and apply the information to safety navigation. A main characteristic of AIS messages is open to general people, so many researches are in progress. In this paper, we design an information management system which considers marine vessel traffic and environmental information in korean littoral sea. The system gathers and processes the information, and stores the processed data to multi-stage database. Also the system visualizes the stored data to use analysis and statistics based on ENC.

• Journal of Biomedical Engineering Research
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• v.42 no.4
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• pp.175-185
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• 2021

Purpose: Vital sign are used to help assess the general physical health of a person, give clues to possible diseases, and show progress toward recovery. Researchers are using vital sign data and AI(artificial intelligence) to manage a variety of diseases and predict mortality. In order to analyze vital sign data using AI, it is important to select and extract vital sign data suitable for research purposes. Methods: We developed a method to visualize vital sign and early warning scores by processing retrospective vital sign data collected from EMR(electronic medical records) and patient monitoring devices. The vital sign data used for development were obtained using the open EMR big data MIMIC-III and the wearable patient monitoring device(CareTaker). Data processing and visualization were developed using Python. We used the development results with machine learning to process the prediction of mortality in ICU patients. Results: We calculated NEWS(National Early Warning Score) to understand the patient's condition. Vital sign data with different measurement times and frequencies were sampled at equal time intervals, and missing data were interpolated to reconstruct data. The normal and abnormal states of vital sign were visualized as color-coded graphs. Mortality prediction result with processed data and machine learning was AUC of 0.892. Conclusion: This visualization method will help researchers to easily understand a patient's vital sign status over time and extract the necessary data.