• Journal of the FoodService Safety
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• v.4 no.2
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• pp.48-54
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• 2023

The study explores the impact of nutritional information on calorie prediction and purchase intent. Administered through self-report questionnaires, the research employs two types of stimuli to assess the influence of nutritional information. Hamburger set images, with or without accompanying nutritional details, were randomly presented to simulate the prevalent mobile app environment for fast-food delivery. Respondents were tasked with predicting calorie content and indicating purchase intent on a Likert 7-point scale. Results show a significant difference in calorie prediction based on the presence of nutritional labeling. While consumers expect positive health effects by estimating more exact calorie information with nutritional labeling, it doesn't significantly influence purchase intent. The study also examines consumer awareness and preferences regarding nutritional labeling policies, emphasizing the need for education and promotion. Most participants recognize the necessity of mandatory nutritional labeling in fast-food establishments, especially through delivery applications, to support healthier choices and prevent obesity.

• Korean Journal of Veterinary Service
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• v.34 no.4
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• pp.409-416
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• 2011

This study was performed to evaluate the microbial contamination level of meat processing in butcher's shops in Seoul from January to November in 2010. A total of 695 samples (112 cotton work gloves, 342 utensils and equipments, 241 meat samples) were collected and the environmental hygiene of 89 butcher's shops was investigated. The aerobic plate count (APC), E. coli and pathogenic bacteria such as Staphylococcus aureus, Salmonella spp. were tested in the samples. As a result, the level of count on APC ranged $0{\sim}2.2{\times}10^6\;CFU/cm^2$ from the utensils & equipments, $1{\times}10^2{\sim}2.7{\times}10^8$ CFU/glove from the cotton work gloves and $1{\times}10^2{\sim}9.3{\times}10^6$ CFU/g from the meat samples. The level of count on E. coli ranged $0{\sim}2.5{\times}10^3\;CFU/cm^2$ from the utensils, $0{\sim}8.6{\times}10^4$ CFU/glove from the cotton work gloves and $0{\sim}1.4{\times}10^5$ CFU/g from the meat samples, respectively. Staphylococcus aureus and Salmonella spp. were detected in 11 samples and 2 samples from the cotton work gloves, utensils & equipments, respectively. The sanitation standard operating procedure (SSOP) was applicated at 49 butcher's shops. In order to improve sanitation of meat in butcher's shops, in this study, applications of SSOP, systemic sanitation education for employees, hygenic control of utensils & equipments, and continuous monitoring for microorganisms will be required.

• Journal of Information Technology Applications and Management
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• v.21 no.2
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• pp.81-98
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• 2014

Recently, due to external environment like the changes in health policy and various healthcare accreditations, along with hospital's internal efforts to improve the quality of medical services, demands for the development of medical information systems are increasing. Some examples are clinical information like DUR (Drug Utilization Review), CVR (Critical Value Report), and automatic benefit processing by treatment purposes, or hospital DSS (Decision Support System) on overall medical practice. Such systems act as a guide in making clinic judgments during practice or in other medical practice, and their effects on the medical treatment improvements are being proven by previous studies. In the reality of increasing attention in the effects of medical treatment improvement, studies related to hospital DDS were mostly focused on clinical, technical, and engineering points of view, and studies focusing on the user viewpoint are very limited. In order to verify the effects of DSS on practice improvements and hospital's management performance, this study used a research model constructed to verify how SERVQUAL of hospital DSS affects hospital management performance in BSC (Balanced Score Card) point of view. To empirically verify the research model, a questionnaire was conducted on the basis of "K-University Hospital's DSS" on clinicians and hospital employees related to system development, and the relationships between the factors were analyzed through path analysis. As a result of path analysis, excluding reactivity, tangibility, confidence, reliability, empathy among service qualities, had partially significant effects on management performance factors (learning and growth, internal process, financial affairs). This study is to prepare the theoretical ground on the management performance analysis of hospital DSS, and suggest the service quality of the system that should be considered in the planning and development stages for improved system.

• Journal of the Korea Convergence Society
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• v.10 no.9
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• pp.91-98
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• 2019

The research focused on plastic surgery clinics in Seoul, which recently responded to foreign patients who wanted to get plastic surgery, to recognize the need for the use of mobile healthcare applications to promote medical tourism and to see the expected effects in the future. For the analysis of data, SPSS 21.0 was used. Based on personal characteristics and medical institution characteristics, the future expected effects of using mobile healthcare applications were analyzed to find ways to help vitalize medical tourism. The result showed that the more mobile applications they wants to use in the future and the higher the number of foreign patients of the medical institutions, the more positive the expectation on the use of mobile healthcare application in the future. Also, the higher evaluation on the need for mobile healthcare application, the more helpful in vitalizing the medical tourism in the future, and the higher the positive awareness. I hope that this research will provide an IT foundation for the and expansion of mobile service app on demand analysis and service utilization of medical workers in order to promote medical tourism.

• Journal of Korea Multimedia Society
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• v.18 no.6
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• pp.772-779
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• 2015

Advancing information technology have rapidly changed our service environment of life, culture, and industry. Computer information communication system is applied in medical, health, distribution, and business transaction. Smart is using new information by combining ability of computer and information. Although agriculture is labor intensive industry that requires a lot of hands, agriculture is becoming knowledge-based industry today. In agriculture field, computer communication system is applied on facilities farming and machinery Agricultural. In this paper, we designed and implemented application that provides personalized agriculture related information at the actual farming field. Also, this provides farmer a system that they can directly auction or sell their produced crops. We designed and implemented a system that parsing information of each seasonal, weather condition, market price, region based, crop, and disease and insects through individual setup on ubiquitous environment using location-based sensor network and processing data.

• Communications for Statistical Applications and Methods
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• v.25 no.5
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• pp.545-557
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• 2018

The inclusion of covariates in the model often affects not only the estimates of meaningful variables of interest but also its statistical significance. Such gap between statistical and subject-matter significance is a critical issue in huge sample studies. A popular huge sample study, the sample cohort data from Korean National Health Insurance Service, showed such gap of significance in the inference for the effect of obesity on cause of mortality, requiring careful consideration. In this regard, this paper proposes a sample size calibration method based on a Monte Carlo t (or z)-test approach without Monte Carlo simulation, and also proposes a test procedure for subject-matter significance using this calibration method in order to complement the deflated p-value in the huge sample size. Our calibration method shows no subject-matter significance of the obesity paradox regardless of race, sex, and age groups, unlike traditional statistical suggestions based on p-values.

• ETRI Journal
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• v.41 no.4
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• pp.452-464
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• 2019

The use of wireless body area networks (WBANs) in healthcare applications has made it convenient to monitor both health personnel and patient status continuously in real time through wearable wireless sensor nodes. However, the heterogeneous and complex network structure of WBANs has some disadvantages in terms of control and management. The software-defined network (SDN) approach is a promising technology that defines a new design and management approach for network communications. In order to create more flexible and dynamic network structures in WBANs, this study uses the SDN approach. For this, a WBAN architecture based on the SDN approach with a new energy-aware routing algorithm for healthcare architecture is proposed. To develop a more flexible architecture, a controller that manages all HUBs is designed. The proposed architecture is modeled using the Riverbed Modeler software for performance analysis. The simulation results show that the SDN-based structure meets the service quality requirements and shows superior performance in terms of energy consumption, throughput, successful transmission rate, and delay parameters according to the traditional routing approach.

• Annals of Clinical Neurophysiology
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• v.21 no.2
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• pp.71-78
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• 2019

Transcranial Doppler (TCD) was introduced in 1982 to assess intracranial arteries noninvasively, since when it has been widely used to assess and monitor cerebrovascular hemodynamics. The clinical applications of TCD are broadening to include other fields that require monitoring of the cerebral blood flow. TCD has fewer temporal and spatial restrictions than other methods, can be performed on less-compliant patients, and causes no harm to the body. However, its reliance on high levels of examiner skill and experience, as well as a lack of standardized scanning protocols are obstacles that still need to be overcome. In this report we review TCD examination techniques and interpret their findings for several conditions.

• International Journal of Computer Science & Network Security
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• v.21 no.2
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• pp.221-228
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• 2021

Recent improvements on the quality, fidelity and availability of biometric data have led to effective human physical activity detection (HPAD) in real time which adds significant value to applications such as human behavior identification, healthcare monitoring, and user authentication. Current approaches usually use machine-learning techniques for human physical activity recognition based on the data collected from wearable accelerometer sensor from a single wearable smart device on the user. However, collecting data from a single wearable smart device may not provide the complete user activity data as it is usually attached to only single part of the user's body. In addition, in case of the absence of the single sensor, then no data can be collected. Hence, in this paper, a continuous HPAD will be presented to effectively perform user activity detection with mobile service infrastructure using multiple wearable smart devices, namely smartphone and smartwatch placed in various locations on user's body for more accurate HPAD. A case study on a comprehensive dataset of classified human physical activities with our HAPD approach shows substantial improvement in HPAD accuracy.

• Journal of the Korea Convergence Society
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• v.6 no.6
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• pp.81-86
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• 2015

The threats to privacy and security have received increasing attention as ubiquitous healthcare applications over the Internet become more prevalent, mobile and universal. In particular, we address the communication security issues of access sharing of health information resources in the ubiquitous healthcare environment. The proposed scheme resolves the sender and data authentication problem in information systems and group communications. We propose a novel key management scheme for generating and distributing cryptographic keys to constituent users to provide form of data encryption method for certain types of data concerning resource constraints for secure communications in the ubiquitous healthcare domains.