Journal of the Korea Academia-Industrial cooperation Society
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v.15
no.11
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pp.6604-6612
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2014
The purpose of this study was to provide basic knowledge and a proper education-training program for hotel enterprises. The results are as follows. First, an education-training program was focused on five factors. Service quality, Job, Organization culture, Self improvement, and Language. Second, the Importance Performance Analysis Result show that Keep the Good Work variables are the Customer reception, Food hygiene, Hygienic management, Cooking, First aid, Self development, and Communication. Possible excesses include Customer satisfaction, Business vision, Brand, Prevention of sexual harassment, Multiple cultures. Finally, an education training program should focus mainly on 'Manner', 'Table manner', 'Personal hygiene' and 'Chinese'.
Journal of the Korea Academia-Industrial cooperation Society
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v.17
no.4
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pp.638-645
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2016
This study describes visiting caregivers' perceptions and reporting of elder abuse. From January 13 to February 10, 2014, data were collected from 249 visiting caregivers working at homes by using a structured questionnaire. The caregivers' perceptions of abuse were high overall. Physical abuse was the most common type, followed by financial, verbal, negligence, and emotional abuse. Most visitors recognized that it is important to require reporting for the prevention of elder abuse, but most of them had no experience with reporting abuse, and the agencies that they knew were mostly the police. A majority of the visiting caregivers had attended an elder abuse program and recognized the importance of such programs. The caregivers hoped that the programs would have specific examples of how to deal with elder abuse and family counseling methods, and other practical content for their work. Programs should focus on coping with individual cases, proper counseling methods, and awareness of elder abuse.
As the number of confirmed cases of Covid-19 is not decreasing, it is time for domestic companies to respond preemptively and in terms of business continuity. The purpose of this study is to present measures to strengthen BCP to prevent infectious diseases in the enterprise. In this work, three methods of data investigation are used. The first was to search for keywords in academic databases such as the National Assembly Library and the Korea Research and Information Service to investigate degree papers and academic papers. Second, we investigated literature such as research reports, manuals, and guidelines on infectious diseases. Finally, the researchers visited official websites such as KDCA, MOHW, and MOIS to collect and analyze recent data. BCP In view of the Board, a new risk analysis should be made and a disaster preparedness system tailored to the characteristics of the entity should be established. We need to analyze corporate weaknesses and focus on safety culture. It is also important to look at how customers choose their services and products. Based on this, differentiated service strategies should be presented. It is hoped that the results of this study can be used as basic data for companies that want to systematically manage and operate BCP to prevent infectious diseases.
International Journal of Computer Science & Network Security
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v.22
no.10
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pp.73-82
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2022
Early detection continues to be the mainstay of breast cancer control as well as the improvement of its treatment. Even so, the absence of cancer symptoms at the onset has early detection quite challenging. Therefore, various researchers continue to focus on cancer as a topic of health to try and make improvements from the perspectives of diagnosis, prevention, and treatment. This research's chief goal is development of a system with deep learning for classification of the breast cancer as non-malignant and malignant using mammogram images. The following two distinct approaches: the first one with the utilization of patches of the Region of Interest (ROI), and the second one with the utilization of the overall images is used. The proposed system is composed of the following two distinct stages: the pre-processing stage and the Convolution Neural Network (CNN) building stage. Of late, the use of meta-heuristic optimization algorithms has accomplished a lot of progress in resolving these problems. Teaching-Learning Based Optimization algorithm (TIBO) meta-heuristic was originally employed for resolving problems of continuous optimization. This work has offered the proposals of novel methods for training the Residual Network (ResNet) as well as the CNN based on the TLBO and the Genetic Algorithm (GA). The classification of breast cancer can be enhanced with direct application of the hybrid TLBO- GA. For this hybrid algorithm, the TLBO, i.e., a core component, will combine the following three distinct operators of the GA: coding, crossover, and mutation. In the TLBO, there is a representation of the optimization solutions as students. On the other hand, the hybrid TLBO-GA will have further division of the students as follows: the top students, the ordinary students, and the poor students. The experiments demonstrated that the proposed hybrid TLBO-GA is more effective than TLBO and GA.
International Journal of Computer Science & Network Security
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v.22
no.3
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pp.135-140
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2022
Scientific and technological progress is also fundamental to the evolving merchant shipping industry, both in terms of the size and speed of modern ships and in the level of their technical capabilities. While the freight performance of ships is growing, the number of crew on board is steadily decreasing, as more work processes are being automated through the implementation of information technologies, including ship management systems. Although there have been repeated appeals from international maritime organizations to focus on building effective maritime security defenses against cyber attacks, the problems have remained unresolved. Owners of shipping companies do not disclose information about cyberattack attempts or incidents against them due to fear of commercial losses or consequences, such as loss of image, customer and insurance claims, and investigations by independent international organizations and government agencies. Issues of cybersecurity of control systems in the world today have gained importance, due to the fact that existing threats concern not only the security of technical means and devices, but also issues of environmental safety and safety of life at sea. The article examines the implementation of cyber risk management in the shipping industry, providing recommendations for the safe ship operation and its systems in order to improve vulnerability to external threats related to cyberattacks, and to ensure the safety and security of such a technical object as a seagoing ship.
Fu-Li Chen;Peter Y. Chen;Chi-Chen Chen;Tao-Hsin Tung
Safety and Health at Work
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v.13
no.4
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pp.394-400
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2022
Background: Impacts of exposure are generally monitored and recorded after injuries or illness occur. Yet, absence of conventional after-the-effect impacts (i.e., lagging indicators), tend to focus on physical health and injuries, and fail to inform if workers are not exposed to safety and health hazards. In contrast to lagging indicators, leading indicators are proactive, preventive, and predictive indexes that offer insights how effective safety and health. The present study is to validate an extended Voluntary Protection Programs (VPP) that consists of six leading indicators. Methods: Questionnaires were distributed to 13 organizations (response rate = 93.1%, 1,439 responses) in Taiwan. Cronbach α, multiple linear regression and canonical correlation were used to test the reliability of the extended Voluntary Protection Programs (VPP) which consists of six leading indicators (safe climate, transformational leadership, organizational justice, organizational support, hazard prevention and control, and training). Criteria-related validation strategy was applied to examine relationships of six leading indicators with six criteria (perceived health, burnout, depression, job satisfaction, job performance, and life satisfaction). Results: The results showed that the Cronbach's α of six leading indicators ranged from 0.87 to 0.92. The canonical correlation analysis indicated a positive correlation between the six leading indicators and criteria (1st canonical function: correlation = 0.647, square correlation = 0.419, p < 0.001). Conclusions: The present study validates the extended VPP framework that focuses on promoting safety and physical and mental health. Results further provides applications of the extended VPP framework to promote workers' safety and health.
The public safety management guidelines were introduced in 2019 and continue to be dedicated to advancing comprehensive measures for public safety management, with a primary focus on prioritizing the safety and well-being of the public within governmental institutions. To achieve this goal, our previous study developed a establishment procedure of risk assessment-based safety inspection system for public institutions that order construction projects and applied it to highway construction projects to evaluate its effectiveness. To enhance the practicality of the establishment procedure, it is essential to collect and analyze feedback from stakeholders regarding its performance and suitability. This study conducted a survey involving 200 participants who had experience with the establishment procedure, and performed statistical analyses to evaluate its performance and applicability. The survey results indicated that the participants reported a high level of satisfaction (scoring 4 and above on a 5-point Likert scale) in several areas: specialization of safety inspection items for different types of work (with a satisfaction rate of 65%), the evaluation process for safety ratings (64.5%), and their willingness to recommend the procedure to other institutions (75.5%). In the factor analysis with Varimax rotation, two factors emerged: (1) a specialization factor related to safety inspection items, and (2) a grading factor associated with safety evaluation results. Regression analyses of these factors unveiled significant positive relationships with improvements in safety and health performance, including the prevention of fatal accidents, heightened safety responsibility, and raised safety inspection standards. The establishment procedure of safety inspection system developed in our previous study can play a crucial role in reducing accidents resulting in fatalities and injuries at construction sites, ultimately contributing to a safer working environment for all involved parties.
This paper is a study on the industrial security specialists of organizations in possession of industrial technology and their compliance motivations towards security policies. The focus is on organizational justice, organizational attachment and empowerment based on our hypothesis that compliance motivations are shaped, not only by the organization itself but, also by the attitude and principle of the organization's members. The objective is to propose a direction for administrative security policy to increase prevention of industrial technology leakage by identifying the factors' significance through hypothesis testing and thereafter investigating the influencing relationship. Survey questionnaires are collected from the participants of a regular educational program provided by the Korean Association for Industrial Technology Security (KAITS) and analyzed using SPSS 21.0 and AMOS 21.0 software. Through various statistical analyses, following results are acquired. First, procedural fairness and organizational attachment are found to motivate security supervisors to comply with security policies. Particularly, the relationship between procedural fairness and compliance motivations towards security policies is fully mediated by organizational attachment, suggesting that improved fairness at the organizational level will lead to an increase in organizational attachment, which will encourage the individuals to comply with security policies. Additionally, empowerment of the individuals in organizations partially mediates the relationship between procedural fairness and organizational attachment, confirming that procedural fairness empowers each individual and increases his organizational attachment. Specifically, in order to maximize compliance of security policies, businesses should demonstrate procedural fairness when compensating their employees for their work to empower them and increase their organizational attachment, which can increase their will to comply with existing security policies. This research provides insights into how to encourage security supervisors to comply with security policies by increasing their empowerment and organizational attachment.
Metabolic syndrome is a cluster of metabolic risk factors associated with increased risk of cardiovascular diseases. Recently, the prevalence of metabolic syndrome has increased in Korea. The aim of this study was to develop a Healthy Han-sik Nutrition Education Program (HHNEP) based on commonly recognized Korean foods in order to decrease metabolic syndrome risks. The target population of the HHNEP is adults with metabolic risk factors. The initial version of the HHNEP was developed based on a review of literature and various dietary guidelines by expert committees as well as the results of a survey on the perception of common Korean dishes and foods as Han-sik. The focus group discussion conducted of nine participants from the target population. After minor modification, the final version was developed. The contents included five sections: 1) aims, 2) introduction of Korean Food Guidance System, 3) cholesterol contents in food, 4) menu planning method using Han-sik, and 5) examples of daily Han-sik menu. The Han-sik list was selected based on the results from a Han-sik perception answered by 35 Korean adults aged 30-60 years using 517 frequently consumed Korean foods from the fourth Korea National Health and Nutrition Examination Survey. The nutrition education program was developed based on scientific evidence for the prevention of metabolic syndrome and focuses on tailoring education to an individual's dietary problems. Educational method was developed by a group of expert committees based in planned behavior theory and related research results. The education method consisted of assessment of current diet, four face-to-face nutrition education sessions over 8 weeks, and evaluation after 8 and 16 weeks. Initial version of nutrition education materials and methods was tested for feasibility by a select group of nine Korean healthy adults. Successful implementation of the program would include application by nutritional professionals at the health promotion center of the hospitals, public health center, and work sites. Intervention studies are needed to evaluate the feasibility and effectiveness of this program before large-scale applications.
Large scale secular registry or surveillance systems have been accumulating vast data that allow mathematical modeling of cancer incidence and mortality rates. Most contemporary models in this regard use time series and APC (age-period-cohort) methods and focus primarily on predicting or analyzing cancer epidemiology with little attention being paid to implications for designing cancer registry, surveillance or evaluation initiatives. This research models age-specific cancer incidence rates using logistic growth equations and explores their performance under different scenarios of data completeness in the hope of deriving clues for reshaping relevant data collection. The study used China Cancer Registry Report 2012 as the data source. It employed 3-parameter logistic growth equations and modeled the age-specific incidence rates of all and the top 10 cancers presented in the registry report. The study performed 3 types of modeling, namely full age-span by fitting, multiple 5-year-segment fitting and single-segment fitting. Measurement of model performance adopted adjusted goodness of fit that combines sum of squred residuals and relative errors. Both model simulation and performance evalation utilized self-developed algorithms programed using C# languade and MS Visual Studio 2008. For models built upon full age-span data, predicted age-specific cancer incidence rates fitted very well with observed values for most (except cervical and breast) cancers with estimated goodness of fit (Rs) being over 0.96. When a given cancer is concerned, the R valuae of the logistic growth model derived using observed data from urban residents was greater than or at least equal to that of the same model built on data from rural people. For models based on multiple-5-year-segment data, the Rs remained fairly high (over 0.89) until 3-fourths of the data segments were excluded. For models using a fixed length single-segment of observed data, the older the age covered by the corresponding data segment, the higher the resulting Rs. Logistic growth models describe age-specific incidence rates perfectly for most cancers and may be used to inform data collection for purposes of monitoring and analyzing cancer epidemic. Helped by appropriate logistic growth equations, the work vomume of contemporary data collection, e.g., cancer registry and surveilance systems, may be reduced substantially.
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