• Journal of the Korean Institute of Gas
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• v.11 no.2 s.35
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• pp.60-64
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• 2007

Chemical Process industry in Korea has over 30 year's of history and is likely to face potential incidents. The traditional risk analysis and control system in Chemical Process industry focuses on mechanical defects, overlooking the human performance control. Although development of automation technology and controlling technology was necessary, human decision factor is essential to preventing accidents in the Chemical Process. Almost all serious accidents take place when inappropriate humanperformance and mechanical defects of safety equipments simultaneously occurs. The AHRA(Advanced Human Reliability Analyzer) software has been developed to collect failure data and analyze human error probability (Reliability) in Chemical Process Industry in Korea. This paper describes the HRA analysis result of PIF(Performance Influencing Factor) evaluation, HEP(Human Error Probability) and root cause of accidents by applying a Chemical Process Industry related accident data. This analysis result should present a scheme that, by controlling human error factor other than putting safety management funds into the machinery in plants, can reduce cost and maximize the safety in Chemical Process Industry.

• Proceedings of the Technology Innovation Conference
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• 2002.02a
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• pp.133-149
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• 2002

This study aims to investigate the impact of wide use of digital technology, in particular, the Internet, on innovation process and corporate strategy in electronics industry. The introduction of digital technology has changed innovation process, business model and organizational structure of the electronics companies. With the introduction of digital technology, the entire value chain of electronics industry from procurement, sales, and marketing to R&D and manufacturing has been restructured. E-commerce has been a major agenda for e-business. Recently, collaboration among electronics companies through e-marketplace has emerged as an important issue. A web-based e-commerce standard, so called RosettaNet, has been developed for facilitating e-transactions of electronics firms. The development of digital technology has dramatically increased the processing speed and sophisticated the virtual reality technology. As simulation becomes easier and more effective, the uncertainty and risk involved in R&D has decreased significantly. Another positive impact is closer cooperation between R&D and manufacturing functions. Taking advantage of automated and flexible production technology, has a new type of firm, so called, EMS (Electronics Manufacturing Services) emerged, whose strategic focus is on manufacturing only. The EMS can be seen as a kind of innovative organization, that is, a modular organization for production function. Digital technology has made convergence of computer and communication possible at early years but right now the convergence has been accelerated in extensive areas of communication, broadcasting, information appliances, software, contents, and services. Firms' effort for an innovative product and service has been intensified and the competition for a new standard product and service has become severe in electronics industry. Business activities are always realized in a specific organizational context. Accordingly building up innovation-friendly organization has emerged as a critical concern. Due to the striking decrease of transaction cost, a network type of organization has proliferated, and a business function turns into a modular organization. As a whole, digital technology has pushed electronics firms into developing their own business model, which takes consideration of standardization of business platform and their core competency.

• Journal of Internet Computing and Services
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• v.7 no.2
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• pp.161-172
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• 2006

As the innovative technologies related to ubiquitous computing are being rapidly developed in recent IT trend, the concern for IT dysfunction(e.g., personal information abuse, information risk, threat, vulnerability, etc.) are also increasing. In our study, we suggested how to design and implement to multiple schemes for strong authentication mechanism in real system environments. We introduce the systematic and secure authentication technologies that resolve the threats incurring from the abuse and illegal duplication of financial transaction card in the public and financial institutions. The multiple schemes for strong authentication mechanism applied to java technology, so various application programs can be embedded, Independent of different platforms, to the smartcard by applying the consolidated authentication technologies based on encryption and biometrics(e.g., finger print identification). We also introduce the appropriate guidelines which can be easily implemented by the system developer and utilized from the software engineering standpoint of view. Further, we proposed ways to utilize java card based biometrics by developing and applying the 'smartcard class library' in order for the developer and engineers involved in real system environment(Secure entrance system) to easily understand the program. Lastly, we briefly introduced the potential for its future business application.

• Nutrition Research and Practice
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• v.10 no.1
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• pp.67-73
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• 2016

BACKGROUND/OBJECTIVES: This study was aimed at examining the association between dietary flavanones intake and lipid profiles according to the presence of metabolic syndrome (MetS) in Korean women with type 2 diabetes mellitus (T2DM). SUBJECTS/METHODS: A cross-sectional analysis was performed among 502 female T2DM patients (non-MetS group; n = 129, MetS group; n = 373) who were recruited from the Huh's Diabetes Clinic in Seoul, Korea between 2005 and 2011. The dietary intake was assessed by a validated semi-quantitative food frequency questionnaire (FFQ) and the data was analyzed using the Computer Aided Nutritional Analysis program (CAN-Pro) version 4.0 software. The intake of flavanones was estimated on the basis of the flavonoid database. RESULTS: In the multiple linear regression analysis after adjustment for confounding factors, daily flavanones intake was negatively associated with CVD risk factors such as total cholesterol, LDL-cholesterol, and apoB and apoB/apoA1 ratio only in the MetS group but not in the non-MetS group. Multiple logistic regression analysis revealed that the odds ratio for a higher apoB/apoA1 ratio above the median (${\geq}0.74$) was significantly low in the $4^{th}$ quartile compared to that in the $1^{st}$ quartile of dietary flavanones intake [OR: 0.477, 95% CI: 0.255-0.894, P for trend = 0.0377] in the MetS group. CONCLUSIONS: Dietary flavanones intake was inversely associated with the apoB/apoA1 ratio, suggesting a potential protective effect of flavanones against CVD in T2DM women with MetS.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.220-220
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• 2015

Water, energy, and food security already became a risk that threatens people around the world. Increasing of resources demand, rapid urbanization, decreasing of natural resources and climate change are four major problems inducing resources' scarcity. Indeed, water, energy, and food are interconnected each other thus cannot be analyzed separately. That is, for simple example, energy needs water as source for hydropower plant, water needs energy for distribution, and food needs water and energy for production, which is defined as W-E-F nexus. Due to their complicated linkage, it needs a computer model to simulate and analyze the nexus. Development of a computer simulation model using system dynamics approach makes this linkage possible to be visualized and quantified. System dynamics can be defined as an approach to learn the feedback connections of all elements in a complex system, which mean, every element's interaction is simulated simultaneously. Present W-E-F nexus models do not calculate and simulate the element's interaction simultaneously. Existing models only calculate the amount of water and energy resources that needed to provide food, water, or energy without any interaction from the product to resources. The new proposed model tries to cope these lacks by adding the interactions, climate change effect, and government policy to optimize the best options to maintain the resources sustainability. On this first phase of development, the model is developed only to learn and analyze the interaction between elements based on scenario of fulfilling the increasing of resources demand, due to population growth. The model is developed using the Vensim, well-known system dynamics model software. The results are amount of total water, energy, and food demand and production for a certain time period and it is evaluated to determine the sustainability of resources.

• Journal of Korean Medicine for Obesity Research
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• v.18 no.1
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• pp.10-18
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• 2018

Objectives: Metabolic syndrome is correlated with increased cardiovascular risk and characterized by several factors, including visceral obesity, hypertension, insulin resistance, and dyslipidemia. Several members of a large family of nonselective cation entry channels, e.g., transient receptor potential (TRP) melastatin 7 (TRPM7) channels have been associated with the development of cardiovascular diseases. The purpose of this study was to investigate the effects of Dangkwisoo-san, ginger and curcumin on TRPM7 channel. Methods: Human embryonic kidney (HEK) 293 cells stably transfected with the TRPM7 expression vectors were maintained in Dulbecco's modified Eagle's medium (DMEM) supplemented with 10% fetal bovine serum (FBS), 1% penicillin/streptomycin, $5{\mu}g/mL$ blasticidin, and 0.4 mg/mL zeocin in a humidified 20% $O_2$/10% $CO_2$ atmosphere at $37^{\circ}C$. Whole-cell patch clamp recordings were obtained using an Axopatch 700B amplifier and pClamp v.10.4 software, and signals were digitalized at 5 kHz using Digidata 1422A. Results: Dangkwisoo-san extract (100, 200, 300, 400, and $500{\mu}g/mL$) inhibited the outward and inward TRPM7 whole-cell currents at dose dependent manner and the half maximal inhibitory concentration $(IC)_{50}$ of Dangkwisoo-san was $218.3{\mu}g/mL$. Also, ginger extract (100, 200, 300, 400, and $500{\mu}g/mL$) inhibited the outward and inward of TRPM7 whole-cell currents in a dose dependent manner and the $IC_{50}$ of ginger was $877.2{\mu}g/mL$. However, curcumin had no effects on TRPM7 whole-cell currents. Conclusions: These results suggest that both Dangkwisoo-san and ginger have good roles to inhibit the TRPM7 channel, suggesting that Dangkwisoo-san and ginger are considered one of the candidate agents for the treatment of metabolic syndrome such as cardiovascular disease.

• Safety and Health at Work
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• v.12 no.4
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• pp.511-516
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• 2021

Background: Difficulties in walking and balance are risk factors for falling. This study aimed to predict dynamic balance based on demographic information and anthropometric dimensions in construction workers. Methods: This descriptive-analytical study was conducted on 114 construction workers in 2020. First, the construction workers were asked to complete the demographic questionnaire determined in order to be included in the study. Then anthropometric dimensions were measured. The dynamic balance of participants was also assessed using the Y Balance test kit. Dynamic balance prediction was performed based on demographic information and anthropometric dimensions using multiple linear regression with SPSS software version 25. Results: The highest average normalized reach distances of YBT were in the anterior direction and were 92.23 ± 12.43% and 92.28 ± 9.26% for right and left foot, respectively. Both maximal and average normalized composite reach in the YBT in each leg were negatively correlated with leg length and navicular drop and positively correlated with the ratio of sitting height to leg length. In addition, multiple linear regressions showed that age, navicular drop, leg length, and foot surface could predict 23% of the variance in YBT average normalized composite reach of the right leg, and age, navicular drop, and leg length could predict 21% of that in the left leg among construction workers. Conclusion: Approximately one-fifth of the variability in the normalized composite reach of dynamic balance reach among construction workers using method YBT can be predicted by variables age, navicular drop, leg length, and foot surface.

• Journal of Pharmacopuncture
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• v.24 no.3
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• pp.107-121
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• 2021

Objectives: The purpose of this study is to analyze the efficacy of traditional Chinese medicine (TCM) injections specified in the clinical guideline for COVID-19 by conducting a meta-analysis of viral pneumonia data. Methods: TCM injections data on viral pneumonia were collected until July 31, 2021. CNKI, PubMed, EMBASE, and the Cochrane electronic database were used to collect the clinical data. "COVID-19," "Viral pneumonia," "Tanreqing," "Xiyanping," "Reduning," "Xingnaojing," "Xuebijing," "Shenmai," "Shengmai," and "Shenfu" were used as keywords. All data collected were mainly about TCM injections and viral pneumonia. Furthermore, studies that included results such as the total effective rate, cough disappearance time, antipyretic time, lung rhomboid disappearance time, and adverse drug reaction were collected for the meta-analysis to identify the efficacy of TCM injections. However, data unrelated to TCM injections specified in the clinical guidelines for COVID-19 or viral pneumonia were excluded. The quality of included RCTs was assessed by the Cochrane Risk of Bias Tool, and Review Manager 5.3 software was used to conduct the meta-analysis. Results: A total of 18 studies with 1540 patients were included in this study. The results of the meta-analysis showed that the total effective rate OR = 4.61 (95% CI 2.92, 7.25, p = 1.00/ I² = 0%); the cough disappearance time: SMD -1.23 (-1.37, -1.09, p < 0.00001/ I² = 94%); the antipyretic time: SMD -1.26 (-1.40, -1.11, p < 0.00001/ I²=94%); lung rhomboid disappearance time: SMD -1.17 (-1.33, -1.02, p < 0.00001/ I² = 89%); and adverse drug reaction was OR 0.36 (95% CI 0.20, 0.64, p = 0.21/ I² = 30%). From the results, the treatment group (TCM injection) showed better efficacy than the control group (Western medication). Conclusion: Xiyanping, Reduning, and Tanreqing injections may yield benefits as COVID-19 treatments. However, clinical trials on TCM injections for the treatment of COVID-19 are still lacking. More high-quality clinical trials are still required.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.24 no.5
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• pp.470-482
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• 2021

Purpose: We investigated the relationship between sonographic measurements of fatty liver and body mass index standard deviation score (BMI-Z score), abdominal wall fat thickness (AWFT), and serum biochemical parameters in childhood obesity. Methods: Anthropometric, laboratory, and ultrasonography data were obtained from 174 children with BMI-Z score >1. After the qualitative grading of hepatosteatosis (grades 0-3), the quantitative liver-kidney echogenicity ratio (LKER) was calculated using a software tool. Groups according to sex, age (AG-I to AG-III), BMI-Z score (BMG-I to BMG-III), and hepatosteatosis degree (HS-I and HS-II) were formed. The differences and distributions of the variables were statistically analyzed and compared among the groups. Results: Serum transaminase and glucose levels showed a positive correlation with LKER, whereas the HDL level showed a negative correlation. BMI-Z score and AWFT showed a positive correlation with fasting insulin level and HOMA-IR value. LKER was significantly higher in girls than in boys (p=0.008). In the AG-I group (age 3-8.9 years), the BMI-Z score was significantly higher, whereas AWFT was significantly lower than in the other age groups (p<0.001). The cutoff point of LKER for predicting grade 2 or higher steatosis (HS-II group) was determined to be 1.83. Cardiovascular disease risk was significantly higher in the HS-II group (p=0.035). Conclusion: As a valuable quantitative measurement tool, LKER can be used for the sonographic screening of fatty liver. AWFT, on the basis of its correlation with fasting insulin level and HOMA-IR value, may be a useful sonographic parameter in the management of childhood obesity.

• Journal of the Korea Convergence Society
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• v.12 no.12
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• pp.49-57
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• 2021

With the advent of the era of the fourth industry, more and more scientific techniques are being used to solve decision-making problems. In particular, big data analysis technology is developing as it becomes easier to collect numerical data. Therefore, in this study, in order to overcome the limitations of qualitatively analyzing investment trends, the association of various products was analyzed using associated analysis techniques. For the experiment, two experimental periods were divided based on the COVID-19 economic crisis, and sales information from individuals, institutions, and foreign investors was collected, and related analysis algorithms were implemented through r software. As a result of the experiment, institutions and foreigners recently invested in the KOSPI and KOSDAQ markets and bought futures and products such as ETF. Individuals purchased ETN and ETF products together, which is presumed to be the result of the recent great interest in sector investment. In addition, after COVID-19, all investors tended to be passive in investing in high-risk products of futures and options. This paper is thought to be a useful reference for product sales and product design in the financial field.