• Journal of the Korean Society for Aviation and Aeronautics
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• v.22 no.4
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• pp.34-41
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• 2014

Aviation safety issues have drawn much attention from the international community due to the growing demand for air travel. Although it is a widely accepted fact that human-related factors are closely linked to aviation safety, there is lack of understanding what roles those factors play in aviation, in the field of air traffic control in particular. It has been reported that the role of air traffic controllers significantly affects air safety. This review will discuss cognitive aspects of expertise in air traffic control including time perception, working memory, reasoning, perception, attention, scanning/vigilance, decision making, and planning with examples of how each aspect can be dealt with in performing air traffic control duties. The relevant studies in psychology have also been briefly reviewed in the interest of enhancing understanding of characteristics of air traffic control tasks and the related human factors. This review concludes with a call for more in-depth research into cognitive factors in air traffic control.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.18 no.1
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• pp.7-10
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• 2007

Unilateral vocal fold paralysis resulting in glottal incompetence can cause significant morbidity attributable to impaired speech, swallowing, and ability to protect the airway. The treatment of unilateral vocal cord paralysis has a long history, marked by technical innovations and improvements. These methods typically use endoscopic injection or implants to augment the volume of the affected vocal fold. The first known treatment, reported by Brunnings in 1911, was paraffin injection. The first thyroplasty medializing the paralysed vocal cord was performed by Payr in 1915 ; here, a cartilage door-flap was created from the thyroid ala to obtain better voice quality. In the 1970s, Isshiki systematized and developed the use of the external medialization by Payr. Later he modified his original technique, and achieved safer and better results. Many other methods were introduced for external medialization during the 1980s and 1990s. There has been couple of materials using for medialization laryngoplasty: silicone bloc, cartilage, goretex (polytetrafluoroethylene), titanium, etc. Among them, silicone bloc is the most popularly used material. Type I thyroplasty in combination with arytenoid adduction is a proven technique for medialization of the paralysed vocal fold. In this paper, personal experience for using silicone bloc type I thyroplasty : decision making and practical points, long-term results and complication of the procedure will be discussed.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.12
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• pp.411-420
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• 2021

Based on the Financial Management Information Systems (FMIS) variables and supporting arenas, the current study aims to highlight the importance of FMIS in supporting organizations to achieve organizational excellence (Managing Liabilities, Support Decision Making, Cost Efficiency, Financial Quality, and Security). A quantitative approach was utilized by adopting a questionnaire as a tool. A convenient sample of (249) individuals from different Kuwaiti SMEs answered the questionnaire. SPSS v. 26 was used to analyze gathered data. The study's findings revealed that FMIS has a significant impact on organizational trials to achieve organizational excellence. This impact was most noticeable on the level of cost-efficiency, with an R-value of 0.583, followed by a positive impact on security, with an R-value of 0.453. Based on the results, it can be widely generalized that FMIS can help the organization reach organizational excellence through managing its financial affairs. As a result, the study recommends paying more attention to the quality of data presented to FMIS, keeping in mind that human errors in data entry might result in incorrect and malfunctioned data, even if it is processed by FMIS. FMIS also improves the ability of an organization to schedule financial information, such as obligations, receivables, debts, payments, and expenses.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.7
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• pp.3794-3820
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• 2019

In recent years, a cloud environment with the ability to detect illegal behaviours along with a secured data storage capability is much needed. This study presents a cloud storage framework, wherein a 128-bit encryption key has been generated by combining deoxyribonucleic acid (DNA) cryptography and the Hill Cipher algorithm to make the framework unbreakable and ensure a better and secured distributed cloud storage environment. Moreover, the study proposes a DNA-based encryption technique, followed by a 256-bit secure socket layer (SSL) to secure data storage. The 256-bit SSL provides secured connections during data transmission. The data herein are classified based on different qualitative security parameters obtained using a specialized fuzzy-based classification technique. The model also has an additional advantage of being able to decide on selecting suitable storage servers from an existing pool of storage servers. A fuzzy-based technique for order of preference by similarity to ideal solution (TOPSIS) multi-criteria decision-making (MCDM) model has been employed for this, which can decide on the set of suitable storage servers on which the data must be stored and results in a reduction in execution time by keeping up the level of security to an improved grade.

• Journal of Hospice and Palliative Care
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• v.25 no.1
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• pp.42-49
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• 2022

As population aging increases the burden of cancer, the quality of death of patients with cancer is emerging as an important issue alongside their quality of life. To improve the quality of death, it is necessary to prepare for death, allowing patients to die comfortably and with dignity at the end. Considering these issues, I aim to discuss the practical aspects of notifying the patient of the terminal phase of cancer and planning for end-of-life care (i.e., advance care planning). When cancer treatment that can extend the patent's lifespan becomes difficult, the patient enters a treatment transition period. Treatment is shifted from life-prolonging care to life-enhancing care, and end-of-life care must be well planned. Medical providers often worry too much about whether the patient will be disappointed or psychologically traumatized when notified of the terminal phase of their cancer, thus delaying plans for end-of-life care. In fact, patients can accept their condition and prepare for end-of-life care better than we expect. During the treatment transition period, notification of terminal status should be given, and a well-prepared advance care plan should be established early when the patient has decision-making ability. In addition to conveying information, it is always necessary to be sensitive to whether the patient and caregiver understand the information and respond to their emotions.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.20 no.4
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• pp.523-531
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• 2022

The International Atomic Energy Agency (IAEA) entails independent decision-making for the safety supervision of civil nuclear facilities. To evaluate and review the safety of nuclear facilities, the national regulatory body usually consults independent institutions or external committees. Technical Support Organizations (TSOs) include national laboratories, research institutions, and consulting organizations. Support from professional organizations in other countries may also be required occasionally. Most of the world's major nuclear power countries adopt an independent nuclear safety supervision model. Accordingly, China has continuously improved upon the construction of such a system by establishing the National Nuclear Safety Administration (NNSA) as the decision-making department for nuclear and radiation safety supervision, six regional safety supervision stations, the Nuclear and Radiation Safety Center (NSC), a nuclear safety expert committee, and the National Nuclear and Radiation Safety Supervision Technology R&D Base, which serves as the test, verification, and R&D platform for providing consultation and technical support. An R&D system, however, remains to be formed. Future endeavors must focus on improving the technical support capacity of these systems. As an enhancement from institutional independence to capability independence is necessary for ensuring the independence of China's nuclear safety regulatory institution, its regulatory capacity must be improved in the future.

• The Korean Society of Law and Medicine
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• v.11 no.2
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• pp.239-274
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• 2010

Advance directive refers to a description of the treatment method a patient wants to be provided with in case where the person is unconscious or lacks an ability to decision making in a future period or a declaration of intention that delegates and appoints another person who makes a decision regarding a treatment method on behalf of the person. Advance directive is usually a document form, but oral statement is acceptable as well. Advance directive may have a variety of forms though, it basically consists of two basic forms. That is, one is a living will, and the other is a surrogate decision making. Though the importance of advance directive has been emphasized, and the necessity of adopting the system has been strongly argued for so far, the debates on criteria, method, and procedure alike have not yet reached an agreement. It is because even the concept of advance directive is more or less ambiguous, and each specific method has its own theoretical limitations and practical constraints. Thus the inquiries on advance directive raised in the study are summarized as the meaning, practicability, and philosophical foundation of the advance directive. Firstly, the theoretical limitations of Advance directive may be categorized into conceptual and moral limitations. In case of conceptual limitations, authors of advance directives may not be well aware, in advance, of the particular situation in which he or her will experience in the future, and patients may experience the change in his or her values and lack the understanding and information about the future situation due to the changes in treatment methods. In case of moral limitations, a patient has a limited moral autonomy right and self identity that have an impact on his or her preference. Secondly, in case of practical constraints for advance directive, there exist cultural features, low ratio of documentation, as patients themselves admit, and low predictability and stability of patient's own preference regarding life-sustaining care. And the problem of validity and accuracy in proxy's decision making is also raised. Those who administer a living will, especially, may have a difficulty in understanding the directive by a patient, so that the accuracy of execution cannot be secured. In the sense, it is needed to implement a legal device in order to solve such problems. In summary, it is urgently required to understand the limitations and explore desired alternatives to overcome the relevant problems in advance, which must contribute to successfully adopting and effectively operating the advance directive system in Korea.

• Korean Journal of Artificial Intelligence
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• v.10 no.1
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• pp.15-19
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• 2022

This study is to understand the relationship between turnover and various conditions. Turnover refers to workers moving from one company to another, which exists in various ways and forms. Currently, a large number of workers are considering many turnover rates to satisfy their income levels, distance between work and residence, and age. In addition, they consider changing jobs a lot depending on the type of work, the decision-making ability of workers, and the level of education. The company needs to accept the conditions required by workers so that competent workers can work for a long time and predict what measures should be taken to convert them into long-term workers. The study was conducted because it was necessary to predict what conditions workers must meet in order to become long-term workers by comparing various conditions and turnover using regression and decision trees. It used Microsoft Azure machines to produce results, and it found that among the various conditions, it looked for different items for long-term work. Various methods were attempted in conducting the research, and among them, suitable algorithms adopted algorithms that classify various kinds of algorithms and derive results, and among them, two decision tree algorithms were used to derive results.

• Journal of Intelligence and Information Systems
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• v.27 no.3
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• pp.231-252
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• 2021

Artificial intelligence (AI) is a key technology that will change the future the most. It affects the industry as a whole and daily life in various ways. As data availability increases, artificial intelligence finds an optimal solution and infers/predicts through self-learning. Research and investment related to automation that discovers and solves problems on its own are ongoing continuously. Automation of artificial intelligence has benefits such as cost reduction, minimization of human intervention and the difference of human capability. However, there are side effects, such as limiting the artificial intelligence's autonomy and erroneous results due to algorithmic bias. In the labor market, it raises the fear of job replacement. Prior studies on the utilization of artificial intelligence have shown that individuals do not necessarily use the information (or advice) it provides. Algorithm error is more sensitive than human error; so, people avoid algorithms after seeing errors, which is called "algorithm aversion." Recently, artificial intelligence has begun to be understood from the perspective of the augmentation of human intelligence. We have started to be interested in Human-AI collaboration rather than AI alone without human. A study of 1500 companies in various industries found that human-AI collaboration outperformed AI alone. In the medicine area, pathologist-deep learning collaboration dropped the pathologist cancer diagnosis error rate by 85%. Leading AI companies, such as IBM and Microsoft, are starting to adopt the direction of AI as augmented intelligence. Human-AI collaboration is emphasized in the decision-making process, because artificial intelligence is superior in analysis ability based on information. Intuition is a unique human capability so that human-AI collaboration can make optimal decisions. In an environment where change is getting faster and uncertainty increases, the need for artificial intelligence in decision-making will increase. In addition, active discussions are expected on approaches that utilize artificial intelligence for rational decision-making. This study investigates the impact of artificial intelligence on decision-making focuses on human-AI collaboration and the interaction between the decision maker personal traits and advisor type. The advisors were classified into three types: human, artificial intelligence, and human-AI collaboration. We investigated perceived usefulness of advice and the utilization of advice in decision making and whether the decision-maker's personal traits are influencing factors. Three hundred and eleven adult male and female experimenters conducted a task that predicts the age of faces in photos and the results showed that the advisor type does not directly affect the utilization of advice. The decision-maker utilizes it only when they believed advice can improve prediction performance. In the case of human-AI collaboration, decision-makers higher evaluated the perceived usefulness of advice, regardless of the decision maker's personal traits and the advice was more actively utilized. If the type of advisor was artificial intelligence alone, decision-makers who scored high in conscientiousness, high in extroversion, or low in neuroticism, high evaluated the perceived usefulness of the advice so they utilized advice actively. This study has academic significance in that it focuses on human-AI collaboration that the recent growing interest in artificial intelligence roles. It has expanded the relevant research area by considering the role of artificial intelligence as an advisor of decision-making and judgment research, and in aspects of practical significance, suggested views that companies should consider in order to enhance AI capability. To improve the effectiveness of AI-based systems, companies not only must introduce high-performance systems, but also need employees who properly understand digital information presented by AI, and can add non-digital information to make decisions. Moreover, to increase utilization in AI-based systems, task-oriented competencies, such as analytical skills and information technology capabilities, are important. in addition, it is expected that greater performance will be achieved if employee's personal traits are considered.

• Journal of Electrical Engineering and Technology
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• v.12 no.2
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• pp.886-889
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• 2017

An active Fault Tolerant Model Predictive Control (FTMPC) using Fuzzy scheduler is developed. Fault tolerant Control (FTC) system stages are broadly classified into two namely Fault Detection and Isolation (FDI) and fault accommodation. Basically, the faults are identified by means of state estimation techniques. Then using the decision based approach it is isolated. This is usually performed using soft computing techniques. Fuzzy Decision Making (FDM) system classifies the faults. After identification and classification of the faults, the model is selected by using the information obtained from FDI. Then this model is fed into FTC in the form of MPC scheme by Takagi-Sugeno Fuzzy scheduler. The Fault tolerance is performed by switching the appropriate model for each identified faults. Thus by incorporating the fuzzy scheduled based FTC it becomes more efficient. The system will be thereafter able to detect the faults, isolate it and also able to accommodate the faults in the sensors and actuators of the Continuous Stirred Tank Reactor (CSTR) process while the conventional MPC does not have the ability to perform it.