• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.121-128
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• 2024

With the recent rise in the use of AI-based online translation tools, interest in their methods and effects on education has grown. This study involved 30 prospective elementary school teachers who completed an English writing task using an AI-based online translation tool. The study focused on assessing the impact of these tools on English writing skills and their practical applications. It examined the usability, educational value, and the advantages and disadvantages of the AI translation tool. Through data collected via writing tests, surveys, and interviews, the study revealed that the use of translation tools positively affects English writing skills. From the learners' perspective, these tools were perceived to provide support and convenience for learning. However, there was also recognition of the need for educational strategies to effectively use these tools, alongside concerns about methods to enhance the completeness or accuracy of translations and the potential for over-reliance on the tools. The study concluded that for effective utilization of translation tools, the implementation of educational strategies and the role of the teacher are crucial.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.477-482
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• 2024

Since the Act on Punishment of Serious Accident has been implemented, the role of construction companies in safety and health and the responsibility of CEO are strengthened. However, serious accidents still occur. Due to population decline and young people's reluctance into the construction industry, the ratio of elderly workers and foreign workers is increasing at construction sites. In this study, a survey was conducted to identify differences in the perception of importance of smart safety technology among vulnerable groups such as foreign workers, elderly workers, and workers with health conditions. Vulnerable workers recognize the importance of smart technology in the fields of foreign language support, risk warning, and body wear monitoring, and the conclusion was drawn that smart technology should be expanded for vulnerable groups in the future.

• Safety and Health at Work
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• v.14 no.4
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• pp.445-450
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• 2023

Background: The impact of COVID-19 infection on workers' work function persists even after the acute phase of the infection. We studied this phenomenon in Japanese workers. Methods: We conducted a one-year prospective cohort study online, starting with a baseline survey in December 2020. We tracked workers without baseline work functioning impairment and incorporated data from 14,421 eligible individuals into the analysis. We estimated the incidence rate ratio for new onset of work functioning impairment due to COVID-19 infection during follow-up, using mixed-effects Poisson regression analysis with robust variance. Results: Participants reporting infection between January and December 2021 showed a significantly higher incidence of new work functioning impairment (adjusted incidence rate ratio: 2.18, 95% confidence interval: 1.75-2.71, p < 0.001). The formality of the recuperation environment correlated with a higher risk of work functioning deterioration in infected individuals (p for trend <0.001). Conclusion: COVID-19-infected workers may continue to experience work difficulties due to persistent, post-acute infection symptoms. Companies and society must urgently provide rehabilitation and social support for people with persistent symptoms, recognizing that COVID-19 is not just a transient acute infection.

• Safety and Health at Work
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• v.14 no.4
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• pp.415-424
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• 2023

Background: Occupational safety & health management (OSH) has garnered greater attention for its significance in promoting corporate sustainability for organizations in recent decades. The construction industry, in particular, is a major contributor to Malaysia's thirst for corporate sustainability in order to provide long-term support for the country. Thus, the main tenet of this study is to examine the mediating effect of employee affective commitment on the relationship between OSH and corporate sustainability. Methods: A questionnaire was administered to 273 full-time employees of listed construction companies in Malaysia. Smart PLS software version 3 was used to test the proposed model and hypotheses. Both the measurement model and the structural model were evaluated. Results: According to the findings, OSH and its dimensions are positively related to employee affective commitment. Employee affective commitment, on the other hand, has been found to be significantly related to corporate sustainability and its dimensions: economic, social, and environmental sustainability. Apart from this, the prominent results reveal that employee affective commitment partially mediates the relationship between OSH and corporate sustainability and its dimensions: economic, social, and environmental sustainability. Conclusion: This empirical finding adds to the existing literature in explaining how OSH and affective commitment led to corporate sustainability. Several implications are offered to various stakeholders, such as construction companies, policymakers, and relevant regulators.

• Safety and Health at Work
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• v.14 no.4
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• pp.467-475
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• 2023

Background: To mitigate the spread of Covid-19, nurses infected with the virus were required to isolate themselves from their families and community. Isolated patients were reported to have experienced mental distress, posttraumatic stress disorder symptoms, and suicide. Though studies have reported the psychological impact of the Covid-19 pandemic, less is known about the lived experiences of nurses who survived Covid-19 infection in sub-Saharan Africa. Methods: A descriptive phenomenological approach was used to study the lived experiences of registered nurses who survived Covid-19 disease. In-depth interviews were conducted among nurses diagnosed with Covid-19 from two hospitals in Kenya between March and May, 2021. Purposive and snowball sampling were used to recruit registered nurses. Data were analyzed using Giorgi's steps of analysis. Results: The study included ten nurses between 29 and 45 years of age. Nurses' experiences encompassed three themes: diagnosis reaction, consequences, and coping. Reactions to the diagnosis included fear, anxiety, and sadness. The consequence of the diagnosis and isolation was stigma, isolation, and loneliness. Nurses coping mechanisms included acceptance, creating routines, support, and spirituality. Conclusion: Our findings aid in understanding how nurses experienced Covid-19 infection as patients and will provide evidence-based content for supporting nurses in future pandemics. Moreover, as we acknowledge the heroic contribution of frontline healthcare workers during the Covid-19 pandemic, it is prudent to recognize the considerable occupational risk as they balance their duty to care, and the risk of infection to themselves and their families.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.559-564
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• 2024

Since the era of industrial revolution, the waste volume has continued to grow; waste management has thus become one of the major global environmental challenges facing humanities today. Waste treatment and management issues trigger NIMBY movements, and disputes among states, governments, and social actors over the issues have been accelrating. At the level of states and sub-states, various measures including institutions, laws, regulations, market-oriented methods, consensus and collaborative governance have been introduced to address various problems associated with waste. More recently, science and technology has been applied to the waste treatment and management under the notion of circular economy. However, societal support for addressing waste problems still remains inadequate, calling for new approaches and alternative pathways. In this context, this study examines two cases of urban incineration plants designed by Hudertwasser, Austria-born artist and architect: Spittelau, Austria, and Osaka, Japan. Through these case studies, I demonstrate how creative and innovative culture-technology convergence can shed new light on challenging environmental issues such as an urban waste problem.

• Journal of radiological science and technology
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• v.47 no.2
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• pp.107-116
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• 2024

In this study, we analyzed the use of general radiography imaging and effective dose in inpatients. Our aim is to help reduce national medical radiation exposure doses and develop rational health-care financial policies. The effective dose for each general radiography was calculated using the ALARA-GR program for 53 types (total: 260 codes) general radiography codes selected from 'National Health Insurance Care Benefit Cost'. The usage of general radiography was analyzed in the 2018 inpatient patient data of the Health Insurance Review and Assessment Service, and the effective dose for each general radiography was analyzed. 89.00% of inpatients undergo general radiography imaging at least once, with an average of 12.63 scans per person and an effective dose of 1.00 mSv. Those who received support from Medical Aid showed a higher value compared to those who were insured by National Health Insurance, with 17.39 cases and 1.43 mSv (p<.001). Chest had the highest usage rate at 23.12% for general radiography imaging, while L-spine had the highest effective dose at 24.53%. It is estimated that 420 inpatients patients undergo 121 to 820 general radiography imaging procedures per year, and 233 inpatients are estimated to have an annual effective dose of >20.00~58.25 mSv. Rational use of health-care finances and the practice of medical radiation safety management are essential for the well-being of individuals, the enhancement of quality of life, and the improvement of health-care quality.

• Safety and Health at Work
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• v.15 no.1
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• pp.24-32
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• 2024

Background: Learning from incidents for accident prevention is a two-stage process, involving the investigation of past accidents to identify the causal factors, followed by the identification and implementation of remedial measures to address the identified causal factors. The focus of past research has been on the identification of causal factors, with limited focus on the identification and implementation of remedial measures. This research begins to contribute to this gap. The motivation for the research is twofold. First, previous analyses show the recurring nature of accidents within the Ghanaian mining industry, and the causal factors also remain the same. This raises questions on the nature and effectiveness of remedial measures identified to address the causes of past accidents. Secondly, without identifying and implementing remedial measures, the full benefits of accident investigations will not be achieved. Hence, this study aims to assess the nature of remedial measures proposed to address investigation causal factors. Method: The study adopted SMARTER from business studies with the addition of HMW (H - Hierarchical, M - Mapping, and W - Weighting of causal factors) to analyse the recommendations from 500 individual investigation reports across seven different mines in Ghana. Results: The individual and the work environment (79%) were mostly the focused during the search for causes, with limited focus on organisational factors (21%). Forty eight percentage of the recommendations were administrative, focussing on fixing the problem in the immediate affected area or department of the victim(s). Most recommendations (70.4%) were support activities that only enhance the effectiveness of control but do not prevent/mitigate the failure directly. Across all the mines, there was no focus on evaluating the performance of remedial measures after their implementation. Conclusion: Identifying sharp-end causes leads to proposing weak recommendations which fail to address latent organisational conditions. The study proposed a guide for effective planning and implementation of remedial actions.

• Journal of Intelligence and Information Systems
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• v.17 no.4
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• pp.157-173
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• 2011

As the Internet use explodes recently, the malicious attacks and hacking for a system connected to network occur frequently. This means the fatal damage can be caused by these intrusions in the government agency, public office, and company operating various systems. For such reasons, there are growing interests and demand about the intrusion detection systems (IDS)-the security systems for detecting, identifying and responding to unauthorized or abnormal activities appropriately. The intrusion detection models that have been applied in conventional IDS are generally designed by modeling the experts' implicit knowledge on the network intrusions or the hackers' abnormal behaviors. These kinds of intrusion detection models perform well under the normal situations. However, they show poor performance when they meet a new or unknown pattern of the network attacks. For this reason, several recent studies try to adopt various artificial intelligence techniques, which can proactively respond to the unknown threats. Especially, artificial neural networks (ANNs) have popularly been applied in the prior studies because of its superior prediction accuracy. However, ANNs have some intrinsic limitations such as the risk of overfitting, the requirement of the large sample size, and the lack of understanding the prediction process (i.e. black box theory). As a result, the most recent studies on IDS have started to adopt support vector machine (SVM), the classification technique that is more stable and powerful compared to ANNs. SVM is known as a relatively high predictive power and generalization capability. Under this background, this study proposes a novel intelligent intrusion detection model that uses SVM as the classification model in order to improve the predictive ability of IDS. Also, our model is designed to consider the asymmetric error cost by optimizing the classification threshold. Generally, there are two common forms of errors in intrusion detection. The first error type is the False-Positive Error (FPE). In the case of FPE, the wrong judgment on it may result in the unnecessary fixation. The second error type is the False-Negative Error (FNE) that mainly misjudges the malware of the program as normal. Compared to FPE, FNE is more fatal. Thus, when considering total cost of misclassification in IDS, it is more reasonable to assign heavier weights on FNE rather than FPE. Therefore, we designed our proposed intrusion detection model to optimize the classification threshold in order to minimize the total misclassification cost. In this case, conventional SVM cannot be applied because it is designed to generate discrete output (i.e. a class). To resolve this problem, we used the revised SVM technique proposed by Platt(2000), which is able to generate the probability estimate. To validate the practical applicability of our model, we applied it to the real-world dataset for network intrusion detection. The experimental dataset was collected from the IDS sensor of an official institution in Korea from January to June 2010. We collected 15,000 log data in total, and selected 1,000 samples from them by using random sampling method. In addition, the SVM model was compared with the logistic regression (LOGIT), decision trees (DT), and ANN to confirm the superiority of the proposed model. LOGIT and DT was experimented using PASW Statistics v18.0, and ANN was experimented using Neuroshell 4.0. For SVM, LIBSVM v2.90-a freeware for training SVM classifier-was used. Empirical results showed that our proposed model based on SVM outperformed all the other comparative models in detecting network intrusions from the accuracy perspective. They also showed that our model reduced the total misclassification cost compared to the ANN-based intrusion detection model. As a result, it is expected that the intrusion detection model proposed in this paper would not only enhance the performance of IDS, but also lead to better management of FNE.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.2
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• pp.201-219
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• 2014

The Republic of Korea in the real economy to a knowledge economy, and a center of creativity and imagination in the creative economy is changing the paradigm. As the core of creating economic, creative industries with the technology and information play an important role in the industry individuals. In order to solve the problem of the polarization of the economy and high youth unemployment rate of Korea, to recognize the role of the creative industries, as objection part, dimensions pan-national and one creative companies in industries of Mobile Apps various policies that support has been promoted. Support these policies to be able to contribute to the establishment of the success of mobile apps one-person creating company, we performed this study targeting one-person company that creates mobile apps area, we conducted a demonstration study of success factors, and thus more effective and efficient in an attempt to seek out support measures. In this study, we derive a research 4 hypothesis about the success factors of one creative enterprise through literature discussion, a study was made on the basis of empirical data of one-person company that creates mobile apps. The results of the analysis, first, if the development rate of the mobile application technology is fast and a new competition associated product is appeared, it was possible to find a tendency to be higher at the performance quantitative companies. Second, if the founder is a founding for the benefit and rewarding work and come to terms with the risk, it was possible to discover tends to be higher achievement quantitative. Third, if one-person company select a target market with capture intensively, it was possible to find a tendency for higher qualitative results. Fourth, it could be found that the reliability of the contact frequency of the network related performance business environment these characteristics enterprise management strategy and act as a significant modulatory effect. Provision of information relating to management and entrepreneurship education to be one creative enterprise is required, these results suggest that there is a provision continuing need for the opportunity to be able to meet and network and reliable variety have. In this study, to take advantage to promote the elimination measures that can increase the likelihood of success of the company of institutions to support one company that creates knowledge-based, such as in the field of mobile application.