• Nuclear Engineering and Technology
• /
• v.54 no.1
• /
• pp.30-35
• /
• 2022

In a nuclear reactor, gamma radiation is the dominant energy deposition in non-fuel regions. Heat is generated upon gamma deposition and consequently affects the mechanical and thermal structure of the material. Therefore, the safety of samples should be carefully considered so that their integrity and quality can be retained. To evaluate relevant parameters, an in-core gamma thermometer (GT) was used to measure gamma heating (GH) throughout the operation of the McMaster nuclear reactor (MNR) at four irradiation sites. Additionally, a Monte Carlo reactor physics code (Serpent-2) was utilized to model the MNR with the GT located in the same irradiation sites used in the measurement to verify its predictions against measured GH. This research aids in the development of modeling, calculation, and prediction of the GH utilizing Serpent-2 as well as implementing a new GH measurement at the MNR core. After all uncertainties were quantified for both approaches, comparable GH profiles were observed between the measurements and calculations. In addition, the GH values found in the four sites represent a strong level of radiation based on the distance of the sample from the core. In this study, the maximum and minimum GH values were found at 0.32 ± 0.05 W/g and 0.15 ± 0.02 W/g, respectively, corresponding to 320 Sv/s and 150 Sv/s. These values are crucial to be considered whenever sample is planned to be irradiated inside the MNR core.

• Journal of Audiology & Otology
• /
• v.24 no.1
• /
• pp.40-47
• /
• 2020

Because the psychophysical symptoms of hearing loss and dementia in the elderly are very similar, untrained healthcare professionals in dementia facilities can easily overlook a severity of hearing loss in their patients. The present study identifies their knowledge, attitudes, and practices (KAP) on hearing loss using a survey whether they may help hearing problem of the patients with dementia. A total of 29 health-care professionals responded to the KAP survey. Also, 2 family members participated. The results showed that most of the nurses and caregivers in elderly medical welfare facilities who worked with dementia patients did not have knowledge of their hearing loss. Even the facility managers did not know how to conduct hearing tests for their patients although they did recognize that some of their patients had a hearing loss. Eventually, actual practice was not possible at this moment by the professionals. However, our respondents did have a positive attitude toward screening for hearing loss and help their patients with dementia wear hearing aids if a clinical guideline was provided. We suggest to develop clear and precise clinical guidelines of the hearing screening test for the dementia patients due to the interrelationship between dementia and hearing loss. When these guidelines apply to elderly residents in a medical welfare facility, early diagnosis and treatment of their sensory loss will help alleviate their dementia as well.

• The Journal of Asian Finance, Economics and Business
• /
• v.9 no.9
• /
• pp.217-227
• /
• 2022

With the aim of examining the effects of implementing international financial reporting standards (IFRS) on teaching accounting and auditing at universities and colleges in Vietnam, a case study was conducted at 30 universities, colleges, and 208 lecturers in Vietnam. Next, the study employed the structural model analysis method by PLS_SEM software to process and analyze the collected data. The research results show that: (1) There are eight factors that affect how IFRS is applied to teaching, including the training program, (ii) teaching staff, (iii) IFRS application regulations, (iv) related party requirements, (v) faculty/school administrators, (vi) teaching aids, (vii) IFRS teaching methods, and (iii) students; (2) there are three factors that affect the quality of teaching staff, including applying IFRS to teaching at the university and colleges, (ii) Regulations on the application of IFRS, (iii) Requirements from related parties. At the same time, the study also shows that, regarding the indirect relationships, applying IFRS to teaching does not play an intermediary role in these relationships. However, at the 10% significance level, it was found that there is an indirect relationship between regulations on the application of IFRS by the Ministry of Finance and the quality of teaching staff through the variable applying IFRS to teaching.

• Korean Journal of Audiology
• /
• v.24 no.1
• /
• pp.40-47
• /
• 2020

Because the psychophysical symptoms of hearing loss and dementia in the elderly are very similar, untrained healthcare professionals in dementia facilities can easily overlook a severity of hearing loss in their patients. The present study identifies their knowledge, attitudes, and practices (KAP) on hearing loss using a survey whether they may help hearing problem of the patients with dementia. A total of 29 health-care professionals responded to the KAP survey. Also, 2 family members participated. The results showed that most of the nurses and caregivers in elderly medical welfare facilities who worked with dementia patients did not have knowledge of their hearing loss. Even the facility managers did not know how to conduct hearing tests for their patients although they did recognize that some of their patients had a hearing loss. Eventually, actual practice was not possible at this moment by the professionals. However, our respondents did have a positive attitude toward screening for hearing loss and help their patients with dementia wear hearing aids if a clinical guideline was provided. We suggest to develop clear and precise clinical guidelines of the hearing screening test for the dementia patients due to the interrelationship between dementia and hearing loss. When these guidelines apply to elderly residents in a medical welfare facility, early diagnosis and treatment of their sensory loss will help alleviate their dementia as well.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.16 no.8
• /
• pp.2736-2750
• /
• 2022

As demands for the maritime communications increase, a variety of functions and information are required to exchange via elements of maritime systems, which leads communication traffic increases in maritime frequency bands, especially in VHF (Very High Frequency) band. Thus, effective resource management is crucial to the future maritime communication systems not only to the typical terrestrial communication systems. VHF data exchange system (VDES) enables to utilize more flexible configuration according to the communication condition. This paper focuses on the VDES communication system among VDES terminals such as shore stations, ship stations and aids to navigation (AtoN) to address efficient resource allocation. We propose a resource management method considering a MIMO (Multiple Input Multiple Output) technique in VDES, which has been widely used for modern terrestrial wireless networks but not for marine environments by scheduling the essential communication resources. We introduce the general channel model in marine environment and give two metrics, spectral and the energy efficiencies to examine our resource scheduling algorithm. Based on the simulation results and analysis, the proposed method provides a possibility to enhance spectral and energy efficiencies. Additionally, we present a trade-off relationship between spectral and energy efficiencies. Furthermore, we examine the resource efficiencies related to the imperfect channel estimation.

• The Korean Journal of Food & Health Convergence
• /
• v.9 no.4
• /
• pp.19-23
• /
• 2023

The integration of ChatGPT, an AI-powered language model, is causing a profound transformation within the food industry, impacting various domains. It offers novel capabilities in recipe creation, personalized dining, menu development, food safety, customer service, and culinary education. ChatGPT's vast culinary dataset analysis aids chefs in pushing flavor boundaries through innovative ingredient combinations. Its personalization potential caters to dietary preferences and cultural nuances, democratizing culinary knowledge. It functions as a virtual mentor, empowering enthusiasts to experiment creatively. For personalized dining, ChatGPT's language understanding enables customer interaction, dish recommendations based on preferences. In menu development, data-driven insights identify culinary trends, guiding chefs in crafting menus aligned with evolving tastes. It suggests inventive ingredient pairings, fostering innovation and inclusivity. AI-driven data analysis contributes to quality control, ensuring consistent taste and texture. Food writing and marketing benefit from ChatGPT's content generation, adapting to diverse strategies and consumer preferences. AI-powered chatbots revolutionize customer service, improving ordering experiences, and post-purchase engagement. In culinary education, ChatGPT acts as a virtual mentor, guiding learners through techniques and history. In food safety, data analysis prevents contamination and ensures compliance. Overall, ChatGPT reshapes the industry by uniting AI's analytics with culinary expertise, enhancing innovation, inclusivity, and efficiency in gastronomy.

• Structural Engineering and Mechanics
• /
• v.82 no.4
• /
• pp.517-542
• /
• 2022

The effect of mean angle of wind attack on the flutter critical wind speed of two generic bridge deck cross-sections, viz, one closed box type streamlined section (deck-1) and closed box trapezoidal bluff type section with extended flanges/overhangs (deck-2) type of section have been studied using Computational Fluid Dynamics (CFD) based forced vibration simulation method. Owing to the importance of the effect of the amplitude of forcing oscillation on the flutter onset, its effect on the flutter derivatives and flutter onset have been studied, especially at non-zero mean angles of wind attack. The flutter derivatives obtained have been used to evaluate flutter critical wind speeds and flutter index of the deck sections at non-zero mean angles of wind attack studied and the same have been validated with those based on experimental results reported in literature. The value of amplitude of forcing oscillation in torsional degree of freedom for CFD based simulations is suggested to be in the range of 0.5° to 2°, especially for bluff bridge deck sections. Early onset of flutter from numerical simulations, thereby conservative estimate of occurrence of instability has been observed from numerical simulations in case of bluff bridge deck section. The study aids in gaining confidence and the extent of applicability of CFD during early stages of bridge design, especially towards carrying out studies on mean incident wind effects.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.10a
• /
• pp.386-388
• /
• 2022

Recently, realistic contents using virtual reality and augmented reality are attracting attention as learning aids. 3D-based contents have the advantage of being able to observe and experience objects from various angles than 2D-based contents shown on a flat surface. In this paper, we propose a content design based on 3D model for Arduino learning in a virtual environment. The Arduino board and sensor were implemented using Blender, and a 3D-based simulator environment was constructed using the Unity engine. The proposed content uses the Arduino board and sensor implemented in 3D so that learners can easily experience the working principle of Arduino and the coding process.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2023.11a
• /
• pp.192-193
• /
• 2023

The International Association of Navigational Aids to Navigation (IALA) utilizes the S-200 standard model and test data for product specification development and validation related to generating datasets compliant with the S-201 data format. Currently, they are focusing on improving the S-200 testbed DB performance and extending the IALA Questionnaire survey functionality. In this study, we investigate the design and implementation of features required to manage additional questionnaires in the S-200 testbed.

• International Journal of Computer Science & Network Security
• /
• v.24 no.4
• /
• pp.179-191
• /
• 2024

With the advancement of modern technology, cyber-attacks are always rising. Specialized defense systems are needed to protect organizations against these threats. Malicious behavior in the network is discovered using security tools like intrusion detection systems (IDS), firewall, antimalware systems, security information and event management (SIEM). It aids in defending businesses from attacks. Delivering advance threat feeds for precise attack detection in intrusion detection systems is the role of cyber-threat intelligence (CTI) in the study is being presented. In this proposed work CTI feeds are utilized in the detection of assaults accurately in intrusion detection system. The ultimate objective is to identify the attacker behind the attack. Several data sets had been analyzed for attack detection. With the proposed study the ability to identify network attacks has improved by using machine learning algorithms. The proposed model provides 98% accuracy, 97% precision, and 96% recall respectively.