• Journal of the Korean Geosynthetics Society
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• v.14 no.4
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• pp.11-21
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• 2015

The method to replace asphalt and cement is needed to reduce the carbon emission on road. Polymeric material which is light and easy to handle while having complex function with less carbon emission would be highly effective when it replaced soil pavement containing cement. This study is intended to identify the usability of soil pavement containing organic solidification agent only through the field test. Pavement on bike trail still satisfied required bearing capacity coefficient in 3 months. Pavement after passing 1.6 bil units of bike through pavement acceleration test that simulated a long-term serviceability during a short-time still remained unaffected, demonstrating a long-term serviceability of soil pavement.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.12
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• pp.1500-1505
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• 2019

Currently, as part of the ICT Smart City, the company is building C-ITS(Cooperative-Intelligent Transport Systems) for solving urban traffic problems. In order to realize autonomous driving service with C-ITS, the role of advanced road infrastructure is important. In addition to the study of mid- to long-term C-ITS and autonomous driving services, it is necessary to present more realistic solutions for road traffic safety in the short term. Therefore, in this paper, we propose a highway accident detection alarm system that can detect and analyze traffic flow and risk information, which are essential information of C-ITS, based on IoT guard rail and provide immediate alarm and remote control. Intelligent IoT guard rail is expected to be used as an intelligent advanced road infrastructure that provides data at actual road sites that are required by C-ITS and self-driving services in the long term.

• Biomolecules & Therapeutics
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• v.18 no.4
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• pp.448-453
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• 2010

Drug-induced long QT syndrome is known to be associated with the onset of torsades de pointes (TdP), resulting in a fatal ventricular arrhythmia. QT interval prolongation can result from blocking the human ether-a-go-go-related gene (hERG) channel, which is important for the repolarization of cardiac action potential. Nicardipine, a Ca-channel blocker and antihypertensive agent, has been reported to increase the risk of occasional serious ventricular arrhythmias. We studied the effects of nicardipine on hERG $K^+$ channels expressed in HEK293 cells and Xenopus oocytes. The cardiac electrophysiological effect of nicardipine was also investigated in this study. Our results revealed that nicardipine dose-dependently decreased the tail current of the hERG channel expressed in HEK293 cells with an $IC_{50}$ of 0.43 ${\mu}M$. On the other hand, nicardipine did not affect hERG channel trafficking. Taken together, nicardipine inhibits the hERG channel by the mechanism of short-term channel blocking. Two S6 domain mutations, Y652A and F656A, partially attenuated (Y652A) or abolished (F656A) the hERG current blockade, suggesting that nicardipine blocks the hERG channel at the pore of the channel.

• Journal of the Korean Institute of Gas
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• v.11 no.2 s.35
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• pp.43-54
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• 2007

Despite the importance of customer satisfaction corresponding to the phenomenal development of the gas industries, supplier-centered management still prevails in the city gas industry due to the monopolistic market environment. However, customer's demands for diverse and higher services are ever growing in the midst of the development and the accelerated competition of the service industries. In this context, customer satisfaction management may be the best style of management for establishing a short, mid and long-term foundation of growth. This paper derives directions for improving customer satisfaction management in such 3 areas as systematic, technological and service improvement from the environmental changes as well as from the customer needs. Based on the survey and comparative analysis of customer satisfaction, we also suggest 5 growth strategies to maintain sustainable development of the gas industry in the midst of competitive environment between city gas companies and among diversified energy businesses and to protect rights of the city gas consumers.

• Journal of Korean Medicine for Obesity Research
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• v.6 no.2
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• pp.17-27
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• 2006

Objectives : Ma-huang (Ephedra sinica) is frequently prescribed for obesity management in oriental medicine. The main component is ephedrine alkaloids which can have serious adverse side effects such as heart attack, stroke, sudden death. There are no scientific guidelines for Ma-huang usage in the safe treatment of obesity in oriental medicine. We reviewed published studies on its safety to make evidence based guidelines. Methods : We searched electronic databases up to May 2006. We limited evidence to controlled trials for efficacy or safety, case reports for safety, and studies for Ma-huang contents analysis. Results and Conclusions : In clinical trials for weight loss, Ma-huang and ephedrine promote modest short-term weight loss but have no serious adverse effects, have only a few adverse effects associated with increased risk of psychiatric, autonomic, gastrointestinal symptoms and heart palpitations. In case reports, there have been serious adverse effects including stroke, heart attack, and death using typical doses of ephedrine or no associated illness. There are factors related to serious adverse effects, such as overuse, lack of standardization, individual sensitivity, and interactions with other drugs. Studies relating to these factors should be analyzed for safe use of Ma-huang and ephedrine. After analyzing related studies, we suggest guidelines for Ma-huang usage. We propose that the dosage should be within 4.5-7.5g per day for up to 6 months for generally healthy individual. It's use is contraindicated in individuals with heart disease, thyroid disease, diabetes mellitus, hypertension, psychiatric disorders, glaucoma, urination disorders, enlarged prostate, persons using MAOIs, methyldopa and sympathomimetic agents.

• Journal of Internet Computing and Services
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• v.24 no.1
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• pp.39-47
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• 2023

The development of autonomous driving and Advanced Driver Assistance System (ADAS) technology has grown rapidly in recent years. As most traffic accidents occur due to human error, self-driving vehicles can drastically reduce the number of accidents and crashes that occur on the roads today. Obviously, technical advancements in autonomous driving can lead to improved public driving safety. However, due to the current limitations in technology and lack of public trust in self-driving cars (and drones), the actual use of Autonomous Vehicles (AVs) is still significantly low. According to prior studies, people's acceptance of an AV is mainly determined by trust. It is proven that people still feel much more comfortable in personalized ADAS, designed with the way people drive. Based on such needs, a new attempt for a customized ADAS considering each driver's driving style is proposed in this paper. Each driver's behavior is divided into two categories: assertive and defensive. In this paper, a novel customized ADAS algorithm with high classification accuracy is designed, which divides each driver based on their driving style. Each driver's driving data is collected and simulated using CARLA, which is an open-source autonomous driving simulator. In addition, Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) machine learning algorithms are used to optimize the ADAS parameters. The proposed scheme results in a high classification accuracy of time series driving data. Furthermore, among the vast amount of CARLA-based feature data extracted from the drivers, distinguishable driving features are collected selectively using Support Vector Machine (SVM) technology by comparing the amount of influence on the classification of the two categories. Therefore, by extracting distinguishable features and eliminating outliers using SVM, the classification accuracy is significantly improved. Based on this classification, the ADAS sensors can be made more sensitive for the case of assertive drivers, enabling more advanced driving safety support. The proposed technology of this paper is especially important because currently, the state-of-the-art level of autonomous driving is at level 3 (based on the SAE International driving automation standards), which requires advanced functions that can assist drivers using ADAS technology.

• Childhood Kidney Diseases
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• v.27 no.1
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• pp.34-39
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• 2023

Purpose: This article was to collect data on the safety of coronavirus disease 2019 (COVID-19) vaccines in children with underlying medical conditions. Methods: We constructed a prospective cohort of children and adolescents aged 5 to 19 years who had received at least one dose of COVID-19 vaccine. Patients diagnosed with and treated for chronic kidney disease, autoimmune disease, or other chronic conditions at the Seoul National University Children's Hospital were recruited from June to December 2022. A mobile survey questionnaire was sent to their guardians. The presence of adverse events on the day (day 0), 3 weeks (day 21), and 6 months (day 180) after the 1st dose of COVID-19 vaccine was recorded by the guardians. Results: A total of 73 children participated. The median age was 14 years, and 64.4% of the patients were male. On the day of immunization, 65.8% of the patients reported at least one adverse event. Pain at the injection site, fatigue, headache, arthralgia, and myalgia were the most common symptoms. The prevalence of adverse events decreased over time (65.8% on day 0, 27.4% between days 0 and 21, and 24.6% between days 21 and 180). Severe acute respiratory syndrome coronavirus 2 infection after the 1st dose occurred in 17 patients (23.3%) and one of the patients (5.88%) was hospitalized due to infection. Conclusions: Adverse events after COVID-19 vaccination were generally mild in children and adolescents with underlying medical conditions. Our findings provide evidence for the safety of COVID-19 vaccination in the vulnerable pediatric population.

• Journal of the Korean Society of Marine Environment & Safety
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• v.15 no.4
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• pp.283-288
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• 2009

Estimations of oil slick area after M/T Herbei Sprit accident in December 2007 were analyzed using ENVITSAT ASAR(Advanced Synthetic Aperture Radar) microwave and KOMPSAT-2 of high resolution data. Monthly end short-term variations of chlorophyll a concentration before end after M/T Herbei Sprit oil spill accident were also analyzed using SeaWiFS/MODIS ocean color data. The oil slick areas estimated by KOMPSAT-2 and ASAR satellites were 59,456 $m^2$ and 1,168 $km^2$, respectively. The winds before end after oil spill accident were prevailed the northerly and northwesterly winds, and the strength of wind in this accident was stronger than 10 m/sec. In Taean and Anmeon-do, monthly mean chlorophyll a concentrations(6.3 mg/$m^3$ and 3.7 mg/$m^3$) in January 2008 alter the oil spill were higher than those(2.9 mg/$m^3$ and 2.5 mg/$m^3$) in December 2007. Short-term variations of chlorophyll a in these areas were decreased alter one or two weeks of oil spill.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.5
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• pp.574-583
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• 2021

Predicting shipping markets is an important issue. Such predictions form the basis for decisions on investment methods, fleet formation methods, freight rates, etc., which greatly affect the profits and survival of a company. To this end, in this study, we propose a shipping freight rate prediction model for container ships using gated recurrent units (GRUs) and long short-term memory structure. The target of our freight rate prediction is the China Container Freight Index (CCFI), and CCFI data from March 2003 to May 2020 were used for training. The CCFI after June 2020 was first predicted according to each model and then compared and analyzed with the actual CCFI. For the experimental model, a total of six models were designed according to the hyperparameter settings. Additionally, the ARIMA model was included in the experiment for performance comparison with the traditional analysis method. The optimal model was selected based on two evaluation methods. The first evaluation method selects the model with the smallest average value of the root mean square error (RMSE) obtained by repeating each model 10 times. The second method selects the model with the lowest RMSE in all experiments. The experimental results revealed not only the improved accuracy of the deep learning model compared to the traditional time series prediction model, ARIMA, but also the contribution in enhancing the risk management ability of freight fluctuations through deep learning models. On the contrary, in the event of sudden changes in freight owing to the effects of external factors such as the Covid-19 pandemic, the accuracy of the forecasting model reduced. The GRU1 model recorded the lowest RMSE (69.55, 49.35) in both evaluation methods, and it was selected as the optimal model.

• Journal of the Korean Society of Marine Environment & Safety
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• v.23 no.7
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• pp.847-857
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• 2017

The present situations of the education and training systems for the response to marine HNS spill incidents in domestic and foreign countries were reviewed and the plans to improve domestic system were suggested on the basis of the comparison between domestic and foreign education systems. There were almost no private education and training institutions in Korea, and they have not been activated, compared with those of foreign countries such as USA, Canada, Australia and UK. The domestic marine HNS-related education has been implemented uniformly under Korean government initiative. In addition, there were differences in the targets and duration of the education offered by Korea Coast Guard Academy (KCGA) and Marine Environment Research & Training Institute (MERTI) in Korea. Domestic HNS-related curriculum was relatively simple, compared with the curricula of foreign countries, and has not accepted two levels (operational level and manager level) required in HNS model courses of International Maritime Organization (IMO). The domestic education and training period was short relatively to those of foreign countries. The following suggestions were made to improve the education and training system for the response to domestic marine chemical incidents. In the short term, an HNS education and training management consultation body (tentative name) should be established, with both KCGA and MERTI participating jointly while maintaining the current system of the two institutions (KCGA and MERTI) simultaneously. In the more distant and long term, the HNS-related departments of KCGA and MERTI should be incorporated into a National Marine HNS Response Academy (tentative name) as unified system to enable international competitiveness.