• Journal of the Korean Society of Food Culture
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• v.22 no.1
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• pp.127-139
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• 2007

This research was peformed to investigate the anthropometric data, blood profiles, and nutrient intakes of elderly persons living in a rural area. The subjects were 67 undernourished people who participated in follow-up nutrition intervention programs for9 weeks. Anthropometric data showed that the mean heights and weights in the management group were 157.6 cm and 59.1 kg, respectively, for the males and 152.6 cm and 51.0 kg, respectively, for the females. The mean BMIs of the management group were 23.8 kg/m$^2$ in the males and 22.4 kg/m$^2$ in the females. The total cholesterol, HDL-cholesterol, and albumin levels of the subjects were 181.7-191.4mg/dL, 48.3-53.0mg/dL, and 3.85-4.00g/dL, respectively. Energy, ash, P, Na, vitamin B$_1$, vitamin B$_2$, vitamin B$_6$, and niacin increased significantly after intervention for the management group. The mINQ, however, did not significantly increase after intervention. Also after intervention, there was no significant difference in mINQ between the management group and the comparison group. MAR (14) in the management group was significantly increased from 0.62${\pm}$0.2 before intervention to 0.68${\pm}$0.2 after intervention (p=0.022), and it was significantly different between the management group and the comparison group (p=0.017). MAR (8) in the management group was not significantly different (p=0.915) before and after intervention. However, MAR (8) between the management group and the comparison group did show a significant difference (p=0.031). MAR (3) in the management group was significantly increased from 0.48${\pm}$0.2 before intervention to 0.55${\pm}$0.2 after intervention (p=0.045), however, MAR (3) was not significantly different between the management group and the comparison group (p=0.093). For the probability of nutrient insufficiency, in the management group the probability of nutrient values below the EAR (except for Fe) decreased after intervention compared to before intervention. On the other hand, the probabilities of values above the RI, or EAR${\sim}$RI, were increased

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.1C
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• pp.63-72
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• 2006

Due to rapid development of many cities in Korea, many public facilities are required to be built as well as complementary civil structures. Consequently, a number of tunnel constructions are currently carried out throughout the country, and many more tunnels are planned to be constructed in the near future. Tunnel excavation in a city often causes serious damage to above-ground structures and sewer system because of unexpected settlement. In order to prevent the destruction, the tunnel, which bypasses the center of a city, must be specially evaluated for its influence to other structure. In addition, since a slight disturbance of above-ground structure causes numerous public complaints and civil appeals, it must be approached with different method than the mountain tunnels. In this paper, the evaluation method using the Artificial Neural Network (ANN) has been studied. The method begins with an analysis of the minimal sectional area. If its result can be used to approximate the general influence of the whole section, the actual evaluation using ANN will take off. In addition, it also studies the construction management method which reflects the real time soil behavior and environment influence during construction using Geographic Information System (GIS).

• Convergence Security Journal
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• v.23 no.2
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• pp.27-36
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• 2023

In recent years, ransomware attacks have become more organized and specialized, with the sophistication of attacks targeting specific individuals or organizations using tactics such as social engineering, spear phishing, and even machine learning, some operating as business models. In order to effectively respond to this, various researches and solutions are being developed and operated to detect and prevent attacks before they cause serious damage. In particular, honeypots can be used to minimize the risk of attack on IT systems and networks, as well as act as an early warning and advanced security monitoring tool, but in cases where ransomware does not have priority access to the decoy file, or bypasses it completely. has a disadvantage that effective ransomware response is limited. In this paper, this honeypot is optimized for the user environment to create a reliable real-time dynamic honeypot file, minimizing the possibility of an attacker bypassing the honeypot, and increasing the detection rate by preventing the attacker from recognizing that it is a honeypot file. To this end, four models, including a basic data collection model for dynamic honeypot generation, were designed (basic data collection model / user-defined model / sample statistical model / experience accumulation model), and their validity was verified.

• Journal of Software Assessment and Valuation
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• v.15 no.2
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• pp.111-119
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• 2019

The existing smart grid device authentication system is concentrated on DCU, meter reading FEP and MDMS, and the authentication system for smart meters is not established. Although some cryptographic chips have been developed at present, it is difficult to complete the PKI authentication scheme because it is at the low level of simple encryption. Unlike existing power grids, smart grids are based on open two-way communication, increasing the risk of accidents as information security vulnerabilities increase. However, PKI is difficult to apply to smart meters, and there is a possibility of accidents such as system shutdown by sending manipulated packets and sending false information to the operating system. Issuing an existing PKI certificate to smart meters with high hardware constraints makes authentication and certificate renewal difficult, so an ultra-lightweight password authentication protocol that can operate even on the poor performance of smart meters (such as non-IP networks, processors, memory, and storage space) was designed and implemented. As a result of the experiment, lightweight cryptographic authentication protocol was able to be executed quickly in the Cortex-M3 environment, and it is expected that it will help to prepare a more secure authentication system in the smart grid industry.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.33 no.4
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• pp.517-527
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• 2023

Objectives: We examine cases of chemical poisoning that occurred in the cleaning of metal parts and the regulations on halogenated solvents in other countries and propose regulations necessary to prevent chemical poisoning from halogenated solvents. Methods: We collected cases of chemical poisoning through the website of the Korea Occupational Safety and Health Agency. A review of the literature was conducted focusing on regulations related to halogenated solvents in the United States and the European Union, particularly for cleaning metal parts. Among the Material Safety Data Sheets submitted to the government, MSDS containing eleven substances were extracted to confirm the composition and product use. We investigated cleaning methods for metal parts used in South Korea. For the hazard classification, the European Chemicals Agency or Japan's NITE's website was used. Results: In the case of poisoning, the cleaning methods involving trichloromethane were dipping and dry, which was not found in the literature. It was confirmed that many halogenated solvents and dimethyl carbonate were used for metal cleaning in South Korea. In vapor degreasing using TCE in the USA, even if the facility is strictly managed, such as by installing cooling coils in open cleaning facilities, the risk of exposure to TCE is considered to be not only carcinogenic but also a concern for acute and chronic effects. In comparison, exposure through Korean work methods such as dipping and drying operations is inevitably much higher. Conclusions: The transition to water-based cleaning with low-hazard chemicals should be a priority in the cleaning process. In the case of metal parts that require precise cleaning, if the use of a halogenated solvent is inevitable, a closed degreasing facility should be used to minimize exposure. The current regulations in the Occupational Safety and Health Act, the Chemical Substances Control Act, and the Air Environment Conservation Act do not require cleaning facilities to minimize emissions. To protect the health of workers using halogenated solvents to clean metal parts, regulations that require a fundamental reduction in exposure will be necessary.

• Information Systems Review
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• v.25 no.4
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• pp.161-181
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• 2023

As the post-COVID-19 consumer life environment is rapidly becoming non-face-to-face, changing non-face-to-face financial life services are having a significant impact on consumers' daily lives. People who do not have access to digital devices and services that have become essential goods are at risk of being left behind in the "digital blind spot," where they are marginalized not only in their daily lives but also in society and the economy as a whole (Kim Min-Jeung A, Kim Min-Jung B, Park Joo-Yung, 2022). In this study, we examined the effects of perceived control factors, Cognitive control, behavioral control, and decisional control, on intention to use digital finance. For this study, we surveyed 133 customers who are aware of and intend to use digital finance. The results show that cognitive control, behavioral control, and decisional control have significant effects on intention to use digital finance. In this relationship, the moderating effect of privacy concerns differs from the effect of decision control on intention to use digital finance. These findings suggest that digital financial services firms should consider whether to reduce or increase customer control. Based on these findings, we discuss marketing strategies and implications for digital financial services companies.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.5
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• pp.74-91
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• 2023

Several that analyzed the effectiveness of traffic safety facilities a method of comparing changes in the number of accidents, accident severity, speed through traffic accident data before and after installation or speed data collected from vehicle detection systems (VDS). , when traffic accident data is used, it takes a long time to collect because must be collected for at least one year before and after installation. , the road environment may change during this period, such as the addition of other traffic safety facilities in addition to the facilities to be analyzed. , the location of the VDSs for speed data is often different from the location where analysis is required, and there is a problem in that the investigators are exposed to the risk of traffic accident during on-site investigation. Therefore, this study a case study by establishing a methodology to determine effectiveness video images with a drone, extracting data using a program, and comparing vehicle driving speeds before and after speed reduction facilities. Vehicle speed surveys using drones are much safer than observational surveys conducted on highways and have the advantage of tracking speed changes along the vehicle, it is expected that they will be used for various traffic surveys in the future.

• Journal of the FoodService Safety
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• v.3 no.2
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• pp.74-77
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• 2022

As the prevalence of food allergies increases, related hazards also increase. Among the victims of accidents, children under the age of 10 accounted for a significant portion, raising the need for management of them. To ensure that children are aware of the risk of food allergy for safe meal service and to prevent problems such as malnutrition and poor growth in growing children, the current status of food allergy is surveyed for teachers and parents of children's catering centers in Eunpyeong-gu, and 1: 1 Specialized projects were carried out to provide customized counseling, educational support, alternative diets, and educational materials. As a result, it was found that the improvement of professionalism of faculty members and parents greatly helped to create an environment in which nutritious meals can be provided safely.

• Korean Journal of Environmental Biology
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• v.41 no.3
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• pp.256-265
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• 2023

Chlorothalonil is continuously introduced into the marine environment and has significant toxic effects on various marine organisms, however, research on its effect on seaweed is limited. Therefore, we analyzed the impact of chlorothalonil on the early life stages of major aquaculture species in Korea, Undaria pinnatifida. U. pinnatifida female gametophytes were exposed to different concentrations of chlorothalonil (0, 0.03, 0.05, 0.10, 0.20, and 0.40 mg L^-1), and their survival rate and relative growth rate were analyzed. The no observed effect concentration (NOEC), lowest observed effect concentration (LOEC), and median lethal concentration (LC50) for female gametophyte survival were determined as 0.05, 0.10, and 0.141(0.121-0.166)mg L^-1. NOEC, LOEC, and median effective concentration (EC50) for relative growth rate were 0.10, 0.20, and 0.124 (0.119-0.131) mg L^-1. Therefore, female gametophytes of U. pinnatifida are expected to experience toxic effects at concentrations above 0.05-0.10 mg L^-1 of chlorothalonil. These research findings are anticipated to serve as crucial reference data for evaluating the effects of chlorothalonil on the health of U. pinnatifida in the early life stages.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.2
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• pp.207-216
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• 2024

As big data was built due to the 4th Industrial Revolution, personalized services increased rapidly. As a result, the amount of personal information collected from online services has increased, and concerns about users' personal information leakage and privacy infringement have increased. Online service providers provide privacy policies to address concerns about privacy infringement of users, but privacy policies are often misused due to the long and complex problem that it is difficult for users to directly identify risk items. Therefore, there is a need for a method that can automatically check whether the privacy policy is safe. However, the safety verification technique of the conventional blacklist and machine learning-based privacy policy has a problem that is difficult to expand or has low accessibility. In this paper, to solve the problem, we propose a safety verification technique for the privacy policy using the GPT-3.5 API, which is a generative artificial intelligence. Classification work can be performed evenin a new environment, and it shows the possibility that the general public without expertise can easily inspect the privacy policy. In the experiment, how accurately the blacklist-based privacy policy and the GPT-based privacy policy classify safe and unsafe sentences and the time spent on classification was measured. According to the experimental results, the proposed technique showed 10.34% higher accuracy on average than the conventional blacklist-based sentence safety verification technique.