• 융합정보논문지
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• 제9권10호
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• pp.264-271
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• 2019

현재 청소년들은 대중매체의 근접성에 의한 외모적 아름다움을 중요시 하고 있다. 따라서 피부에 발생하는 여드름은 중증의 질병은 아니지만 잘못 관리하면 안면부에 흉터와 자국을 남기게 되고 이는 학생들의 자신감을 상실시키고 우울증과 스트레스를 동반한다. 이에 본 연구에서는 여드름 피부가 청소년의 스트레스, 우울증, 자아존중감에 어떠한 영향을 미치는 가를 분석하여 여드름을 단순한 피부질환의 하나로 생각할 것이 아니라 정신건강에도 밀접한 관계가 있음을 인지하고 여드름 피부를 관리하는데 좀 더 효과적이며 피부를 관리하는 기초자료로 활용하고자 3가지 가설을 수립하였다. 그 결과 중학생의 여드름 발생이 스트레스와 우울증에 정(+)의 영향을 미치는 것으로 나타나 여드름 피부관리는 표면적 관리가 아닌 정신건강에 필요한 관리로 사료된다.

• 비만대사연구학술지
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• 제1권2호
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• pp.78-82
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• 2022

Liraglutide (Saxenda^R) is prescribed to induce and sustain weight loss in obese patients. The starting dose of liraglutide is 0.6 mg/day for 1 week, which is increased by 0.6 mg/day every week until the full maintenance dose of 3 mg/day is achieved. Such dose titration is needed to prevent side effects, which primarily include gastrointestinal problems such as nausea, diarrhea, constipation, vomiting, dyspepsia, and abdominal pain. A 35-year-old, reportedly healthy obese man receiving liraglutide treatment for obesity visited the emergency room complaining of generalized weakness and dizziness accompanied by repeated diarrhea and vomiting. He reported over 20 episodes of diarrhea starting the day after liraglutide dose escalation from 1.2 mg/day to 1.8 mg/day. Laboratory findings suggested pre-renal acute kidney injury, including serum creatinine 4.77 mg/dl, blood urea nitrogen (BUN) 37 mg/dl, estimated glomerular filtration rate (eGFR) 15 ml/min/1.73 m², and Fractional excretion of sodium 0.08. After volume repletion therapy, his renal function recovered to a normal range with laboratory values of creatinine 1.08 mg/dl, BUN 14 mg/dl, and eGFR 88 ml/min/1.73 m². This case emphasizes the need for caution when prescribing glucagon-like peptide-1 receptor agonists, including liraglutide, given the risk of serious renal impairments induced by volume depletion and dehydration through severe-grade diarrhea and vomiting.

• 한국항행학회논문지
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• 제22권2호
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• pp.105-110
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• 2018

오늘날 북핵문제는 한반도와 동북아시아에 심각한 안보 위협 요인으로 대두되고 있다. 이에 따라 우리 군은 휴전선에서 수백 Km 떨어진 상공에서도 평양 등 북한 지휘부 건물과 핵시설을 정밀 타격할 수 있는 장거리 공대지 유도탄의 해외 도입과 국내 개발을 추진하고 있다. 본 논문에서는 장거리 공대지 유도탄 개발을 위한 여러 설계 요소 중 유도탄 경량화를 위한 탄내케이블 브레이드를 제거하고 이에 따른 성능을 예측 및 분석하였다. 브레이드 제거에 따른 탄내케이블 뭉치 내부의 누화 (cross-talk) 및 군사 EMI 규격인 MIL-STD-461F의 내성(conduction susceptibility) CS114 및 방사(radiated emission) RE101 규격을 적용하여 시뮬레이션을 통해 브레이드 제거 가능성을 분석하였다.

• 한국콘텐츠학회논문지
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• 제20권12호
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• pp.266-277
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• 2020

사용자의 편의성이 높아짐과 동시에 그만큼 스마트폰에 대한 개인 정보 유출 문제도 심각하게 대두되고 있다. 이미 언급하였듯이 전자금융관련 서비스, 개인 파일 저장 등의 기능을 제공하는데 있어서 필요한 사용자의 개인 정보가 모두 스마트폰 안에 저장되어 있기 때문에 스마트폰을 분실 하거나 도난당하였을 경우 사용자의 중요한 개인 정보가 노출될 수 있다. 이러한 개인 정보 보호를 위해 정부 및 통신 사업자는 스마트폰 잠금이나 초기화 서비스를 제공하고는 있지만 많은 허점과 문제점이 있다. 이에 본 논문에서는 사용자가 스마트폰을 분실 또는 도난당하였을 때 스마트폰에 저장되어 있는 사용자의 개인 정보를 유출하여 악의적으로 사용하는 것을 방지하고, 유심 칩(USIM Chip)을 제거하거나 변경한 후 사용하는 스마트폰은 자동으로 초기화하여 전화기 내에 저장되어 있는 사용자의 개인정보를 파기하는 애플리케이션을 개발하였다. 즉, 사용자가 스마트폰을 분실 또는 도난당하였을 때 사용자의 개인 정보를 악의적으로 사용하지 못하도록 하는 방안을 제시하고자 한다.

• 한국안전학회지
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• 제36권1호
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• pp.44-49
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• 2021

Domestic industrial accidents continue to increase, with 2,142 deaths in 2018, up by 185 (9.5%) from 1,957 deaths in 2017. Industrial accidents that cause loss of human lives pose a serious risk to businesses because of the strengthening of safety regulations and the changing public perception of social responsibility. Accordingly, to prevent industrial accidents, companies regularly conduct onsite safety activities and conduct education and training to raise awareness among employees. However, many such corporate activities are not conducted voluntarily and practically by employees but mostly by formal implementation. To discontinue this customary and passive behavior of employees and establish a mature safety culture, strengthening the execution power of safety management at the site is of paramount importance, and to this end, we aim to utilize the safety practice index (SPI). In this study, the SPI calculated on the basis of the results of the 2018 and 2019 risk management and safety activities of a site was compared with the reported safety accidents. The results confirmed that the SPI index can be used as a valid indicator for safety activities for accident prevention, such as strengthening leadership and safety policies to grade and manage safety management levels for a certain period of time or by a department or to convert weaknesses into strengths.

• Journal of Nutrition and Health
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• 제54권4호
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• pp.342-354
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• 2021

Purpose: Obesity is a serious public health issue for the modern society and is considered a chronic health hazard. There are many surgical and pharmacological approaches to treat obesity. However, various potentially hazardous side effects remain the biggest challenge. Therefore, diets based on foods derived from natural products have gained increasing attention compared to anti-obesity drugs. Recently, research on edible insects as a food source has been a topic of considerable interest in the scientific communities. This study examined the anti-obesity effects of ingesting an edible insect by feeding a high-fat diet (HFD)-induced obese mouse models with a diet containing Tenebrio molitor larvae powder (TMLP). Methods: Six-week-old female C57BL/6J mice were divided into 4 groups according to treatment: 100% normal diet (ND), 100% HFD (HFD), HFD 99% + TMLP 1% (TMLP), and HFD 97% + TMLP 3% (TMLP 3%). TMLP was added to the HFD for 6 weeks for the latter two groups. Results: Compared to the HFD group, mice in the TMLP group showed weight loss, and micro-computed tomographic imaging revealed that the volume of the adipose tissue in the abdominal area also showed significant reduction. After an autopsy, the fat weight was found to be significantly reduced in the TMLP group compared to the HFD group. In addition, the degree of fat cell deposition in the liver tissue and the size of the adipocytes significantly decreased in the TMLP group. Reverse transcription polymerase chain reaction analysis for the mRNA expression of adipogenesis-related genes namely CCAAT-enhancer-binding proteins (C/EBP-β, C/EBP-δ), and fatty acid-binding protein 4 (FABP4) showed that the expression levels of these genes were significantly reduced in the TMLP group compared to the HFD group. Serum leptin level also decreased significantly in the TMLP group in the comparison with the HFD group. In addition, total cholesterol, triglyceride, and glucose levels in mouse serum also decreased in the TMLP group. Conclusion: Taken together, our results showed that TMLP effectively inhibited adipocyte growth and reduced body weight in obese mice.

• 한국안전학회지
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• 제37권2호
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• pp.35-42
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• 2022

When an accident occurs, the associated human activity is typically regarded as a "human error," or a temporal deviation. On the other hand, if the accident results in a serious loss or if it evokes a social issue, the person determined to be responsible may be punished with a "violation" of related laws or regulations. However, as Heinrich stated, it is neither appropriate nor reasonable in terms of probability theory and cognitive science to distinguish whether it is a "human error" or a "violation" with a criterion of resultant accident severity. Nonetheless, some in society get on the social climate to strengthen regulations on workers who have caused accidents, especially violations. This response can present a social issue due to the lack of systematic judgment procedure which distinguishes violations from human errors. The purpose of this study was to develop an objective and systematic procedure to assess whether workers' activities which induced industrial accidents should be categorized as violations rather than human errors. Various analysis techniques for the determination of violation procedure were investigated and compared using an analysis approach method. An appropriate technique was not found, however, for judging the culpability of intentional violations. As an alternative, this study developed the process of creating violations, based on cognitive procedure, as well as the criteria to determine and categorize an activity as a violation. In addition, the developed procedure was applied to cases of industrial accidents and nuclear power plant issues to test its practical applicability. The study demonstrated that the proposed model could be used to determine the existence of a violation even in the case of multiple workers who work simultaneously.

• 한국정보통신학회논문지
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• 제25권12호
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• pp.1874-1881
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• 2021

폭설로 인한 도로 미끄러짐과 함께 영하의 기온으로 도로와 차량 통행용 다리, 터널 출입구 쪽에서 주로 발생하는 블랙아이스는 운전자의 시야에서는 아스팔트의 이미지가 투과되어 보이기에 잘 인식되지 않아서 자동차들이 미끄러지는 (슬립 현상) 상황을 발생시키기에 차량이 제동력을 잃어서, 대형 교통사고로 이어져 심각한 인명과 재산상 손실을 초래하고 있다. 본 논문에서는 기존에 연구되었던 블랙아이스 감지 방법들(인공위성 촬영, 초음파 수신으로 미끄러짐의 패턴을 확인, 도로 표면의 온도측정, 차량 주행 중 타이어의 마찰력 차이를 확인하기)의 단점들을 보완하고, 블랙아이스를 감지하는 센서의 크기를 줄여서 많은 이동체에 적용할 수 있도록 하고자 적외선 카메라를 이용하여 도로 상태를 확인하고, 이 정보를 딥러닝 학습을 통하여 블랙아이스를 판별하는 방법을 제안하고자 한다.

• International Journal of Computer Science & Network Security
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• 제22권9호
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• pp.195-207
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• 2022

COVID-19 has remained one of the most serious health crises in recent history, resulting in the tragic loss of lives and significant economic impacts on the entire world. The difficulty of controlling COVID-19 poses a threat to the global health sector. Considering that Artificial Intelligence (AI) has contributed to improving research methods and solving problems facing diverse fields of study, AI algorithms have also proven effective in disease detection and early diagnosis. Specifically, acoustic features offer a promising prospect for the early detection of respiratory diseases. Motivated by these observations, this study conceptualized a speech-based diagnostic model to aid in COVID-19 diagnosis. The proposed methodology uses speech signals from confirmed positive and negative cases of COVID-19 to extract features through the pre-trained Visual Geometry Group (VGG-16) model based on Mel spectrogram images. This is used in addition to the K-means algorithm that determines effective features, followed by a Genetic Algorithm-Support Vector Machine (GA-SVM) classifier to classify cases. The experimental findings indicate the proposed methodology's capability to classify COVID-19 and NOT COVID-19 of varying ages and speaking different languages, as demonstrated in the simulations. The proposed methodology depends on deep features, followed by the dimension reduction technique for features to detect COVID-19. As a result, it produces better and more consistent performance than handcrafted features used in previous studies.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권1호
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• pp.133-152
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• 2022

Rice is a fundamental staple food commodity all around the world. Globally, it is grown over 167 million hectares and occupies almost 1/5^th of total cultivated land under cereals. With a total production of 782 million metric tons in 2018. In Pakistan, it is the 2^nd largest crop being produced and 3^rd largest food commodity after sugarcane and rice. The stem borers a type of pest in rice and other crops, Scirpophaga incertulas or the yellow stem borer is very serious pest and a major cause of yield loss, more than 90% damage is recorded in Pakistan on rice crop. Yellow stem borer population of rice could be stimulated with various environmental factors which includes relative humidity, light, and environmental temperature. Focus of this study is to find the environmental factors changes i.e., temperature, relative humidity and rainfall that can lead to cause outbreaks of yellow stem borers. this study helps to find out the hot spots of insect pest in rice field with a control of farmer's palm. Proposed system uses temperature, relative humidity, and rain sensor along with artificial neural network to predict yellow stem borer attack and generate warning to take necessary precautions. result shows 85.6% accuracy and accuracy gradually increased after repeating several training rounds. This system can be good IoT based solution for pest attack prediction which is cost effective and accurate.