• International Journal of Internet, Broadcasting and Communication
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• v.15 no.4
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• pp.261-269
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• 2023

We propose to design a Holochain-based security and privacy protection system for resource-constrained IoT healthcare systems. Through analysis and performance evaluation, the proposed system confirmed that these characteristics operate effectively in the IoT healthcare environment. The system proposed in this paper consists of four main layers aimed at secure collection, transmission, storage, and processing of important medical data in IoT healthcare environments. The first PERCEPTION layer consists of various IoT devices, such as wearable devices, sensors, and other medical devices. These devices collect patient health data and pass it on to the network layer. The second network connectivity layer assigns an IP address to the collected data and ensures that the data is transmitted reliably over the network. Transmission takes place via standardized protocols, which ensures data reliability and availability. The third distributed cloud layer is a distributed data storage based on Holochain that stores important medical information collected from resource-limited IoT devices. This layer manages data integrity and access control, and allows users to share data securely. Finally, the fourth application layer provides useful information and services to end users, patients and healthcare professionals. The structuring and presentation of data and interaction between applications are managed at this layer. This structure aims to provide security, privacy, and resource efficiency suitable for IoT healthcare systems, in contrast to traditional centralized or blockchain-based systems. We design and propose a Holochain-based security and privacy protection system through a better IoT healthcare system.

• Proceedings of the Korean Geotechical Society Conference
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• 1991.10a
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• pp.332-347
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• 1991

Accurate prediction of future settlement is essential for the settlement control of soft soil by pre-loading method. To predict future settlement in clayey soft soils, several methods like Asaoka method, Hyperbolic Method and Hoshino method are currently being used. These methods predict the future sett1ement by mathmatical treatment of the measured settlement data on the basis of consolidtion theory and empiricism. But the correlation coefficient between the measured and the predicted settlement was relatively low (0.8~0.9). Also, the prediction of future settlemet for the design load is very difficult. In this article, the measured field settlement data was treated as the the field consolidation test. Hence, condolidation coefficient(Cv) and compression index(Cc) was evaluated from the field settlement data. Cv and Cc values from field data was used to calculate the degree of consolidation and settlement at desired time. By this method, the correlation coefficent between the measured and the predicted settlement was significantly increased(0.97~0.99). Also the settlement by the design load after the improvement of soft soil could be predicted reasonably. This method is quite rational and sound but it requires thousands of calculation steps. Today, by the aid of low priced personal computers above mentioned technique could be used much acre economically and effectively than conventional methods. This article presented the mechanisms and capacities of this method and demonstrated the enhanced correlation coefficient when applied to actual field settlement data.

• Journal of Home Health Care Nursing
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• v.30 no.1
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• pp.5-14
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• 2023

Purpose: This study aims to identify the degree of anxiety and depression related to infection control and job stress in clinical nurses during the COVID-19 pandemic. Furthermore, it seeks to identify the effects of depression. Finally, it intends to develop intervention measures to prevent depression in clinical nurses during epidemics of new infectious diseases and prepare basic data for developing educational programs. Methods: Data were collected using a self-report questionnaire survey administered to 208 nurses. The data were analyzed using the IBM SPSS (Version 26.0) statistics program. Results: The correlation analysis between participant depression, anxiety, and infection control job stress found that depression had a positive correlation with anxiety (r=.63, p<.001) and infection control work stress (r=.26, p<.001). Anxiety (β=0.60, p<.001) was found to significantly affect participant depression with an explanatory power of 40.2%, confirming that higher anxiety levels induce increased depression. Conclusion: Based on the above results, anxiety is confirmed to be a factor that affects depression. Accordingly, education is required to strengthen individuals' physical and mental capabilities and promote a safe working environment, including providing sufficient personal protective devices and other appropriate gear to defend clinical nurses against outbreaks of emerging infectious diseases at medical institutions and through healthcare policies. Other considerations should include sufficient rest hours and paying additional benefits for nurses caring for patients with severe confirmed COVID-19.

• Journal of Preventive Medicine and Public Health
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• v.53 no.5
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• pp.313-322
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• 2020

Objectives: This study was conducted to determine the incidence and risk factors of myocardial infarction (MI) and stroke in farmers compared to the general population and to establish 5-year prediction models. Methods: The farmer cohort and the control cohort were generated using the customized database of the National Health Insurance Service of Korea database and the National Sample Cohort, respectively. The participants were followed from the day of the index general health examination until the events of MI, stroke, or death (up to 5 years). Results: In total, 734 744 participants from the farmer cohort and 238 311 from the control cohort aged between 40 and 70 were included. The age-adjusted incidence of MI was 0.766 and 0.585 per 1000 person-years in the farmer and control cohorts, respectively. That of stroke was 0.559 and 0.321 per 1000 person-years in both cohorts, respectively. In farmers, the risk factors for MI included male sex, age, personal history of hypertension, diabetes, current smoking, creatinine, metabolic syndrome components (blood pressure, triglycerides, and high-density lipoprotein cholesterol). Those for stroke included male sex, age, personal history of hypertension, diabetes, current smoking, high γ-glutamyl transferase, and metabolic syndrome components (blood pressure, triglycerides, and high-density lipoprotein cholesterol). The prediction model showed an area under the receiver operating characteristic curve of 0.735 and 0.760 for MI and stroke, respectively, in the farmer cohort. Conclusions: Farmers had a higher age-adjusted incidence of MI and stroke. They also showed distinct patterns in cardiovascular risk factors compared to the general population.

• Journal of the Korean Institute of Intelligent Systems
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• v.27 no.1
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• pp.35-41
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• 2017

This paper presents the development of a monitoring and control system for a vehicle cluster using a model-based design technique. For MBD(model-based design), MATLAB GUI(Graphic User Interface), M programs, simulink, state flow, and tool boxes are used to monitor a number of data such as warning, interrupts, and etc. connected to a real vehicle cluster. As a monitoring tool, a PC(Personal Computer) station interworks with the real vehicle cluster through the interface commands of tool boxes. Thus, unlike existing text-based designs, the MBD based vehicle cluster system provides very easy algorithm updates and addition, since it offers a number of blocks and state flow programs for each functional actions. Furthermore, the proposed MBD technique reduces the required time and cost for the development and modification of a vehicle cluster, because of verification and validation of the cluster algorithm on the monitor through a PC.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.17 no.6
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• pp.7-15
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• 2018

We propose a method for evaluating sound quality quantitatively to develop high-level home appliances (HA). Generally, a refrigerator has diverse movable parts such as slider, drawer, and folding shelf. Therefore, an engineering treatment to control the noise quality is considered as one of key technologies for a higher level refrigerator. Among the movable parts, we have selected a folding shelf as an example, which is commonly setup inside of a home refrigerator for increasing space convenience, to control the noise quality. However, it is known that its noise level is very high comparing to other movable parts when folding or unfolding actions. In order to evaluate and compare the noise quality, we have tested different eighteen models, and have suggested an impact sound quality index (ISQI) based on subjective evaluation data obtained experimentally by thirty two evaluators. The ISQI was formulated using three sound quality elements (noise peak, raising time, impact duration) to determine psycho-acoustic properties. Through this work, we developed an evaluating process and ISQI that was verified the usefulness by comparing the test results of personal perceptions given by evaluators with the prediction value of ISQI. We showed a good relations between them, so we believe that the proposed method and ISQI can be utilized to control of the noise quality of HA effectively.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.535-543
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• 2020

Investors from the whole world are looking for those stock markets that are less affected by interest rates. Pakistan is a good place to invest and the investors from the whole world are considering Pakistan for future ventures. The current study, therefore, aims to analyze the factors affecting investors' decision making in Pakistan with the interaction effect of locus of control. The primary data are gathered from 300 respondents. Structural equation modelling (SEM-PLS) is used to analyze the interactions among variables. The study finds positive impact of availability and representative biases on investment decision making. The study could not find any moderating role of locus of control. The results imply that decisions made by Pakistani investors are driven by the most easily or currently available information and they trust on the information obtained from family and friends without any authentication and verification. One possible description of insignificant moderation effect of locus of control can be the sample traits used in the study, e.g., personal characteristics, that change from culture to culture. Another description of these findings may be the association between heuristic biases, including availability, representative and psychological biases and decision-making regarding investment is not personality specific.

• Korean Journal of Occupational Health Nursing
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• v.25 no.1
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• pp.1-8
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• 2016

Purpose: The 2015 Korean Middle East Respiratory Syndrome Coronavirus (MERS-CoV) outbreaks resulted in 186 cases, with 8% (15 persons) of these being nurses. This study aimed to examine MERS-CoV infection status of clinical nurses and to evaluate perception for infection control. Methods: We investigated the MERS-CoV infection status of nurses using MERS-CoV press release data. We examined and analysed perception for Infection control of 121 nurses of the three MERS intensive therapeutic hospitals in July 2015. Results: One to six nurses per hospital in total 8 health care facilities were infected with MERS-CoV. They mainly had short clinical careers and were unaware of infection possibility. The personal and organizational infection control levels that nurses perceive were low and the relationship between two levels was statistically significant. Conclusion: For promoting health protection and infectious disease management competency of nurses, it is necessary to prepare institutional system for controlling infectious disease.

• Journal of Agricultural Extension & Community Development
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• v.26 no.4
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• pp.221-232
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• 2019

The purpose of this paper is empirically to identify the factors influencing local food purchase intention. And this study compares to the difference between local food consumer and hypermarket consumer's attitudes toward local food, food lifestyle, and subjective norm. Data were collected from 319 local food consumer and 179 hypermarket consumer to measure the following; attitude toward local food; subjective norm; perceived behavioral control; food lifestyles; demographic information. Results showed that local food consumers are significant differences on attitudes towards health, environment, and local economy. Results also found that subjective norm and perceived behavioral control are significant differences between local food consumer and hypermarket consumers. It means that consumers who express a strong intention to purchase local food seems to link to the food lifestyles. The study suggests that producers and retailers need to develp campaigns explaining how consuming local food supports local businesses and farmers, which will reinforce personal values associated with local consumption.

• Proceedings of the KIEE Conference
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• 1995.11a
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• pp.516-518
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• 1995

This paper presents an integrated fault diagnosis expert system for power systems. The proposed system diagnoses various faults occurred in both substations and transmission lines even in the case that substation fault is spreaded over the network. To cope with this problem, A meta-inference method is proposed. This scheme shares same the data structure with the pre-developed intelligent operational aid expert system installed in a practical sub-control center, without modification. This advanced integrated diagnosis system is developed using a low cost personal computer owing to the special modular programming technique. Case studies show a promising possibility of the proposed method.