• Nuclear Engineering and Technology
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• v.37 no.1
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• pp.79-90
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• 2005

In this paper are reviewed the current status of nuclear fuel management and reactor operational aid tools. In addition, we indicate deficiencies in current capabilities and what future research is judged warranted. For the nuclear fuel management review the focus is on light water reactors and the utilization of stochastic optimization methods applied to the lattice, fuel bundle, core loading pattern, and for BWRs the control rod pattern/core flow design decision making problems. Significant progress in addressing separately each of these design problems on a single cycle basis is noted; however, the outstanding challenge of addressing the integrated design problem over multiple cycles under conditions of uncertainty remains to be addressed. For the reactor operational aid tools review the focus is on core simulators, used to both process core instrumentation signals and as an operator aid to predict future core behaviors under various operational strategies. After briefly reviewing the current status of capabilities, a more in depth review of adaptive core simulation capabilities, where core simulator input data are adjusted within their known uncertainties to improved agreement between prediction and measurement, is presented. This is done in support of the belief that further development of adaptive core simulation capabilities is required to further significantly advance the utility of core simulators in support of reactor operational aid tools.

• Korean Journal of Comparative Education
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• v.27 no.3
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• pp.49-73
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• 2017

This study aims to clarify background and peculiarity of teacher policy in Finland. Especially we focus on the historical changes of teacher policy, the way of decision for teacher quota and the recruitment of teacher. The following two points of the teacher policies were characterized. First, municipalities have the rights of teacher selection on their own. And the universities for teacher education have strict two phases to select the pre-teacher. The teacher quota was decided by managing the pre-teacher quota in advance. Second, universities and municipalities have a high degree of autonomy in designing their curricula and teacher policy. To date, Finnish teacher policy has not faced any problems in attracting applicants and managing quota. Some suggestions were obtained about the improvement of teacher policy in our country.

• Journal of Hospice and Palliative Care
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• v.24 no.2
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• pp.97-108
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• 2021

Purpose: The purpose of this study was to examine the life-sustaining treatment decisions of terminal cancer patients. Methods: Data on 10 terminal cancer patients who decided to withhold or withdraw from treatment were collected using in-depth interviews conducted from February 8 to October 30, 2019. Data were collected until saturation was reached and then analyzed using Colaizzi's phenomenological method. Results: In this study, six thematic clusters were identified: "having complicated feelings", "making choices to protect everyone", "accepting and preparing for death", "feeling distress", "pursuing spiritual wellbeing", and "evaluating the new system". Conclusion: When facing death, terminal cancer patients often made choices to protect their family and their dignity with uneasiness of mind when deciding to withdraw from life-sustaining treatments. Though many patients had accepted and prepared for death, they experienced distress about leaving children behind after death. They also pursued spiritual well-being to find peace after deciding to withdraw from life-sustaining treatment. In addition, participants evaluated the new system of policies pertaining to decisions on life-sustaining treatment. Thus, various approaches regarding acceptance and preparation for death, communication with family, hope, and spiritual comfort should be taken in educational interventions to assist terminal cancer patients as they decide whether to withdraw from life-sustaining treatment.

• Journal of IKEEE
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• v.24 no.4
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• pp.991-997
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• 2020

Reinforcement learning has been applied mainly in sequential decision-making problems. Especially in recent years, reinforcement learning combined with neural networks has brought successful results in previously unsolved fields. However, reinforcement learning using deep neural networks has the disadvantage that it is too complex for immediate use in the field. In this paper, we implemented path planning algorithm for mobile robots using Q-learning, one of the easy-to-learn reinforcement learning algorithms. We used real-time Q-learning to update the Q-table in real-time since the Q-learning method of generating Q-tables in advance has obvious limitations. By adjusting the exploration strategy, we were able to obtain the learning speed required for real-time Q-learning. Finally, we compared the performance of real-time Q-learning and DQN.

• Journal of Korean Tunnelling and Underground Space Association
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• v.23 no.6
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• pp.385-392
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• 2021

When ordering a slurry shield TBM to be used for power cable tunneling, the client organizes an evaluation committee composed of experts, suggest the criteria and evaluation method for technical specifications for supplier selection, and based on the manufacturer's technical proposal were attempted to evaluate and select. It is expected to be referred to as a guideline for future projects to using Shield TBM as one of the methods of verifying performance and quality in advance and securing economic feasibility in the shield TBM tunneling in the recent increasing trend.

• The Journal of Economics, Marketing and Management
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• v.11 no.3
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• pp.81-92
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• 2023

Purpose: The purpose of this study is to identify the determinants of store occupancy based on the rental characteristics of small and medium-sized enterprises (SMEs) renting buildings across the country, and to analyze the satisfaction level after opening. Research design, data and methodology: The study conducted an empirical survey through questionnaires targeting individual business owners, corporate representatives, and executives and employees nationwide, including Seoul, Gyeonggi, and other metropolitan areas and provincial cities. Results: In this study, the most important factor that SMEs consider when deciding whether to rent a commercial building or office is financial characteristics, followed by management characteristics, location characteristics, building characteristics, and facility characteristics. In addition, management characteristics were found to have the greatest impact on rental satisfaction of SMEs, followed by financial characteristics, building characteristics, and location characteristics in order. Conclusions: Since the lessor cannot immediately improve the location characteristics or building characteristics, in order to increase the rental satisfaction of small and medium-sized businesses in a relatively short period of time, it is necessary to improve managerial characteristics such as prompt civil complaint handling and clean management of the building. In addition, it is analyzed that if the factors that can reduce the burden on the tenants are found in advance and reflected in the financial characteristics, the satisfaction of the tenants can be increased.

• Geomechanics and Engineering
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• v.33 no.5
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• pp.487-506
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• 2023

Looking from the past to the present, the earthquakes can be said to be type of disaster with most casualties among natural disasters. Soil liquefaction, which occurs under repeated loads such as earthquakes, plays a major role in these casualties. In this study, analytical equation models were developed to predict the probability of occurrence of soil liquefaction. In this context, the parameters effective in liquefaction were determined out of 170 data sets taken from the real field conditions of past earthquakes, using WEKA decision tree. Linear, Exponential, Power and Quadratic models have been developed based on the identified earthquake and ground parameters using Krill Herd algorithm. The Exponential model, among the models including the magnitude of the earthquake, fine grain ratio, effective stress, standard penetration test impact number and maximum ground acceleration parameters, gave the most successful results in predicting the fields with and without the occurrence of liquefaction. This proposed model enables the researchers to predict the liquefaction potential of the soil in advance according to different earthquake scenarios. In this context, measures can be realized in regions with the high potential of liquefaction and these measures can significantly reduce the casualties in the event of a new earthquake.

• Journal of Gastric Cancer
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• v.23 no.3
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• pp.410-427
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• 2023

Recent advances in artificial intelligence (AI) have provided novel tools for rapid and precise pathologic diagnosis. The introduction of digital pathology has enabled the acquisition of scanned slide images that are essential for the application of AI. The application of AI for improved pathologic diagnosis includes the error-free detection of potentially negligible lesions, such as a minute focus of metastatic tumor cells in lymph nodes, the accurate diagnosis of potentially controversial histologic findings, such as very well-differentiated carcinomas mimicking normal epithelial tissues, and the pathological subtyping of the cancers. Additionally, the utilization of AI algorithms enables the precise decision of the score of immunohistochemical markers for targeted therapies, such as human epidermal growth factor receptor 2 and programmed death-ligand 1. Studies have revealed that AI assistance can reduce the discordance of interpretation between pathologists and more accurately predict clinical outcomes. Several approaches have been employed to develop novel biomarkers from histologic images using AI. Moreover, AI-assisted analysis of the cancer microenvironment showed that the distribution of tumor-infiltrating lymphocytes was related to the response to the immune checkpoint inhibitor therapy, emphasizing its value as a biomarker. As numerous studies have demonstrated the significance of AI-assisted interpretation and biomarker development, the AI-based approach will advance diagnostic pathology.

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

• International Journal of Computer Science & Network Security
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• v.24 no.5
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• pp.156-164
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• 2024

This research aims to highlight the determinants of the intention to purchase Halal foods. In the conceptual framework we examine the different antecedents that might affect the consumer intention to choose the Halal foods. For this, we evocate the role of constructs attitude towards Halal certification, consumption habits and the subjective norm. Moreover, we attempt to study the role mediating role of the religiosity in this purchase decision process of the Muslim consumer. The empirical study will be implemented in the Saudi Halal Foods Market. Thus, we interviewed 200 invidious in the exploratory study to purify the measurements of the selected constructs that may contribute in the explanation of the intention to consume Halal. The confirmatory phase require a second sample that count 400 interviewees. The software of the data analyses that we have used were SPSS and AMOS to purify measurements, to test the research hypotheses and to validate the developed model. At the end of this research we hope to characterize and define the most important determinants' Muslim purchase intention of Halal foods. Therefore, we advance the necessary recommendations to the academicians interesting in this business field and the practices who enquiry to improve theirs offerings and theirs transactions turnover within this emerging consumption sector.