• Journal of Digital Convergence
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• v.17 no.1
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• pp.457-465
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• 2019

This study was designed to develop a positive behavior support model for children in child care institutions. For this purpose, a demand survey for PBS was conducted with 55 child care institution staff members. 76% of the respondents responded that PBS is needed to prevent problem behavior and can be a good alternative for personality education, and approximately 70% responded that they are willing to implement PBS. The specifications of the model are suggested as follows. First, the preparation step would consist of establishing a support team, educating staff members about PBS, selecting expected behaviors, assessing the current baseline behavior, and setting up a universal PBS environment. The application step would consist of instructing social skills, implementing reinforcement, personal goal-setting and assessing behavior, educating trouble-making students, and monitoring. Finally, at the outcome assessment period, measuring the change in target behavior from the pre-intervention to the post-intervention stage, change in social skills and academic achievement, and social validity is suggested. It is expected that application of this model to children in child care institution will decrease problem behaviors of students, enhance desirable behaviors, and boost the staff members' efficacy.

• International Journal of Computer Science & Network Security
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• v.21 no.9
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• pp.19-30
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• 2021

Diabetes Mellitus (DM) is one of common chronic diseases leading to severe health complications that may cause death. The disease influences individuals, community, and the government due to the continuous monitoring, lifelong commitment, and the cost of treatment. The World Health Organization (WHO) considers Saudi Arabia as one of the top 10 countries in diabetes prevalence across the world. Since most of the medical services are provided by the government, the cost of the treatment in terms of hospitals and clinical visits and lab tests represents a real burden due to the large scale of the disease. The ability to predict the diabetic status of a patient without the laboratory tests by performing screening based on some personal features can lessen the health and economic burden caused by diabetes alone. The goal of this paper is to investigate the prediction of diabetic and prediabetic patients by considering factors other than the laboratory tests, as required by physicians in general. With the data obtained from local hospitals, medical records were processed to obtain a dataset that classified patients into three classes: diabetic, prediabetic, and non-diabetic. After applying three machine learning algorithms, we established good performance for accuracy, precision, and recall of the models on the dataset. Further analysis was performed on the data to identify important non-laboratory variables related to the patients for diabetes classification. The importance of five variables (gender, physical activity level, hypertension, BMI, and age) from the person's basic health data were investigated to find their contribution to the state of a patient being diabetic, prediabetic or normal. Our analysis presented great agreement with the risk factors of diabetes and prediabetes stated by the American Diabetes Association (ADA) and other health institutions worldwide. We conclude that by performing class-specific analysis of the disease, important factors specific to Saudi population can be identified, whose management can result in controlling the disease. We also provide some recommendations learnt from this research.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.21 no.4
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• pp.47-60
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• 2011

With the increase in the use of mobile banking service, mobile banking has become an attractive target to attackers. Even though many security measures are applied to the current mobile banking service, some threats such as physical theft or penetration to a mobile device from remote side are still remained as unsolved. With aiming to fill this void, we propose a novel approach to prevent e-financial incidents by analyzing mobile device user's input patterns. This approach helps us to distinguish between original user's usage and attacker's usage through analyzing personal input patterns such as input time-interval, finger pressure level on the touch screen. Our proposed method shows high accuracy, and is effective to prevent the e-finance incidents proactively.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.4
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• pp.797-808
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• 2012

In smart work environment, a company provides employees a flexible work environment for tele-working using mobile phone or portable devices. On the other hand, such environment are exposed to the risks which the attacker can intrude into computer systems or leak personal information of smart-workers' and gain a company's sensitive information. To reduce these risks, the security administrator needs to analyze the usage patterns of employees and detect abnormal behaviors by monitoring VPN(Virtual Private Network) access log. This paper proposes a decision support system that can notify the status by using visualization and similarity measure through clustering analysis. On average, 88.7% of abnormal event can be detected by this proposed method. With this proposed system, the security administrator can detect abnormal behaviors of the employees and prevent account theft.

• Journal of Advanced Navigation Technology
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• v.24 no.6
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• pp.465-470
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• 2020

Complex materials are widely used in aviation industries where lightweighting is essential because they have lighter properties than metals. However, composite materials can cause defects such as internal void formation, poor adhesive mixing, and non-adhesive parts during the production process, and there is a risk of micro-cracking and interlayer separation due to low energy impact. Therefore, a structural damage test is essential. As a result, structural integrity monitoring using FBG is drawing attention. Compared to conventional electrical sensors, FBG has the advantage of being more corrosion-resistant and multiplexed without being affected by electrical noise. However, interloggers measuring FBG are expensive and have a large disadvantage because they are made on the premise of measuring large structures. In this paper, low-cost interloggers were designed for use in unmanned or small aircraft using optical switche, WDM filter, and LTFs, and compared to conventional high-priced interrogator.

• Journal of the Korean Society of Safety
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• v.37 no.3
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• pp.52-59
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• 2022

Conventionally, all the unsafe acts by human beings in relation to industrial accidents have been regarded as unintentional human errors. Exceptionally, however, in the cases with fatalities, seriously injured workers, and/or losses that evoked social issues, attention was paid to violating related laws and regulations for finding out some people to be prosecuted and given judicial punishments. As Heinrich stated, injury or loss in an accident is quite a random variable, so it can be unfair to utilize it as a criterion for prosecution or punishment. The present study was conducted to comprehend how categorizing intentional violations in unsafe acts might disrupt conventional conclusions about the industrial accident process. It was also intended to seek out the right direction for countermeasures by examining unsafe acts comprehensively rather than limiting the analysis to human errors only. In an analysis of 150 industrial accident cases that caused fatalities and featured relatively clear accident scenarios, the results showed that only 36.0% (54 cases) of the workers recognized the situation they confronted as risky, out of which 29.6% (16 cases) thought of the risk as trivial. In addition, even when the risks were recognized, most workers attempted to solve the hazardous situations in ways that violated rules or regulations. If analyzed with a focus on human errors, accidents can be attributed to personal deviations. However, if considered with an emphasis on safety rules or regulations, the focus will naturally move to the question of whether the workers intentionally violated them or not. As a consequence, failure of managerial efforts may be highlighted. Therefore, it was concluded that management should consider unsafe acts comprehensively, with violations included in principle, during accident investigations and the development of countermeasures to prevent future accidents.

• Journal of The Korean Society of Integrative Medicine
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• v.10 no.3
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• pp.161-172
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• 2022

Purpose : The study was to promote patient safety by analyzing the effect of dental hygienist's perception of patient safety culture on infection control activities. Methods : The study is based on a survey of 210 dental hygienists in total working in dental settings. To find out infection control activities according to patient safety culture awareness, there were 6 general characteristics, 3 teamwork within the department, 2 infection control systems, 4 surface management, 9 equipment washing, disinfection, and laundry management, 4 infectious wastes, and 3 personal protection phrases.The data was analyzed using the SPSS version 20.0, and p<.05 was adopted to decide on significance. Results : The longer dental hygienists have worked n the dental settings, the more active they become in infection control activities. Among the different types of dental care settings, general (university) hospitals had the largest number of infection control activities, followed by dental clinics, and network dental clinics, in descending order. The dental settings possessing a higher number of dental hygienists were found to conduct more infection control activities than other dental settings. In addition, it was found that when a dental setting adopts a patient safety policy across all the units in the hospital, more systems and procedures for patient safety tend to be established, and that stricter management response to error leads to improvement of infection control activities. Conclusion :In order to enhance infection control activities, infection control activity programs should develop and implement periodic reinforcement of infection control education. regular monitoring of infection control activities.

• Korean Medical Education Review
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• v.25 no.2
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• pp.109-113
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• 2023

An educational outcome cohort has been established at Keimyung University School of Medicine to help make educational policy decisions and improve educational programs based on data. The purpose of the educational outcome cohort is to support educational policy decisions for achieving graduation outcomes smoothly and to accomplish the intended human resources development of the university through objective analyses and regular monitoring, providing continuous feedback. The data collected for the educational outcome cohort include the student identifications of freshmen, entrance exam scores, premedical and medical school grades, titles and forms of student academic research, the results of psychological testing, scholarship recipient lists, volunteer clubs, and so forth. The data are collected using an information utilization agreement approved by the Institutional Review Board, and the collected data are encrypted and stored on a dedicated computer for enhanced personal information security. Proposals to access and utilize the educational outcome cohort data must be discussed and approved by the Educational Outcome Cohort Committee, which decides on the scope and method of utilization. The collected and managed educational outcome cohort data have been used to develop comparative programs to improve students' competency and to support admission policy decisions through an analysis of the characteristics and performance of medical school students. The establishment and utilization of the educational outcome cohort will play an important role in determining the School of Medicine's educational policies and suggesting new directions for educational policies in the future.

• Journal of the Korean Society of Food Culture
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• v.25 no.4
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• pp.357-365
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• 2010

The study surveyed care giver's perceptions of baby food and evaluated the quantitative and qualitative aspects of Korean websites related to the baby food for atopic dermatitis infants. Sources of care giver information about baby food were the internet (93%), clinics (57%), television (52%), oriental clinics (37%), and neighbors (6%). The five most commonly-used internet search engines (Daum, Google, Nate, Naver and Yahoo) were searched using the terms "atopic dermatitis", "weaning food" and "baby food". The searched websites included oriental medical clinics (38.8%), online merchant companies (13.4%), corporations (13.4%), medical clinics (11.9%), related associations (11.9%), public health centers (4.4%) and personal sites (4.4%). Website food and nutrition information included medical information about baby food for atopic dermatitis (92.6%), baby food for atopic dermatitis (67.6%), related community (58.8%), product information (32.4%) and baby food preparation for atopic dermatitis (23.5%). Qualitative evaluation was conducted based on the American Library Association website checklist; Website operator and information sources were provided for 62.7% and 38.8% of the websites, respectively. The purpose of a website was more explicitly stated in medical clinic sites than nonmedical sites. Only 24.2% of websites had a title that appropriately reflected the site's purpose. The majority (92.5%) of the sites were easy to read and understand. Information was judged to be sufficient in 65% of the medical sites and 74.1% of non-medical sites. A feedback menu and search function were enabled in 85.1% and 28.4% of the sites, respectively. The mean score for quality grade was 14.64 (range 9-19). In conclusion, in order to improve the information of baby food for atopic dermatitis infants in websites, accurate information by experts and continuing monitoring are highly required.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.33 no.3
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• pp.332-345
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• 2023

Objectives: We examined the association of hearing with cardio-metabolic diseases, dyslipidemia, hypertension and diabetes mellitus according to the personal and occupational characteristics of workers exposed to noise. Methods: The subjects of the study were 237,028 workers who underwent 2, 3, and 4 kHz airway pure tone audiometry in 2015 and who underwent clinical tests to diagnose cardiovascular-metabolic diseases. Cardiovascular-metabolic diseases were defined using reference values for respective items including blood pressure (systolic/diastolic), fasting blood glucose, cholesterol, and triglycerides. The airway pure tone hearing threshold of 2, 3, and 4 kHz, the average threshold of 2-3-4 kHz, and the hearing loss by the average threshold of the primary examination were distinguished. Results: Workers with cardiovascular-metabolic disease had significantly higher average hearing thresholds and higher rates of hearing loss. Logistic regression analysis, which adjusted for demographic variables of gender and age and occupational variables such as workplace size, industry, and type of work, and cardiovascular-metabolic disease as independent variables, showed that the odds ratio of hypertension to hearing loss in the mid-frequency was 1.239 (95% confidence interval: 1.118-1.374). For hypertension was 1.159 (1.107-1.214) and for diabetes it was 1.166 (1.104-1.230) for hearing loss in the high-frequency. Hearing loss measured by mean hearing was 1.178 (1.105-1.256) for hypertension and 1.181 (1.097-1.271) for diabetes. Conclusions: Cardiovascular-metabolic diseases in noise-exposed workers are associated with an increased risk of hearing loss and should be accompanied by bio-monitoring of cardiovascular-metabolic diseases in addition to auditory surveillance.