• International journal of advanced smart convergence
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• 제2권2호
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• pp.1-6
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• 2013

Convergence in technology and media makes it possible to augment nurturing by making blended infrastructures with new digital resources available in learning environments at schools. A game-based provision of educationally-valuable content within a collective, virtual environment combined with an analysis of events in the game after it has been played (blended nurture environment) may help to better communicate human values especially where old-fashioned discussion methods fail or do not fulfill the promise of effective, educational institution-based methods of bringing up. In this paper we discuss the use of behavioural metaphors in game-based blended-nurture scenarios for computer games and pedagogical-psychological tests. Upbringing demands an active intervention in the process of children growing up and the courage to place higher expectations on ourselves and our own lifestyles. Decisions and the behaviour of the younger generation are often irrational and the resulting effects can have destructive consequences. Nowadays, games take on the role of modern storytellers. With the help of complex analogies in games, a variety of situations can be depicted in an eye-catching way and later discussed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권11호
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• pp.4011-4027
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• 2021

Cloud Computing has emerged as an extensively used technology not only in the IT sector but almost in all sectors. As the nature of the cloud is distributed and dynamic, the jeopardies present in the current implementations of virtualization, numerous security threats and attacks have been reported. Considering the potent architecture and the system complexity, it is indispensable to adopt fundamentals. This paper proposes a secure authentication and data sharing scheme for providing security to the cloud data. An efficient IPSO-KELM is proposed for detecting the malicious behaviour of the user. Initially, the proposed method starts with the authentication phase of the data sender. After authentication, the sender sends the data to the cloud, and the IPSO-KELM identifies if the received data from the sender is an attacked one or normal data i.e. the algorithm identifies if the data is received from a malicious sender or authenticated sender. If the data received from the sender is identified to be normal data, then the data is securely shared with the data receiver using SHA256-RSA algorithm. The upshot of the proposed method are scrutinized by identifying the dissimilarities with the other existing techniques to confirm that the proposed IPSO-KELM and SHA256-RSA works well for malicious user detection and secure data sharing in the cloud.

• 한국수학교육학회지시리즈E:수학교육논문집
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• 제37권1호
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• pp.21-45
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• 2023

본 연구는 수학교육에서 영향력 있는 논문을 판별하는 기계학습 프로그램 개발 연구이다. 이를 위하여 과학계량학의 관점에서 논문의 영향력을 조명하고, 수학교육 연구 네트워크를 구성하고, 네트워크 중심성 지수인 PageRank로 수학교육 연구의 영향력으로 정의하였다. 영향력 있는 수학교육 연구를 판별하기 위하여 기계학습 모델을 설계하였으며, 이를 이용하여 영향력 있는 논문이 게재된 비율이 높은 학술지를 조사한 결과 Journal for Research in Mathematics Education(25.66%), Educational Studies in Mathematics(22.12%), Zentralblatt für Didaktik der Mathematik(8.46%), Journal of Mathematics Teacher Education(5.8%), Journal of Mathematical Behavior(5.51%) 순으로 나타났다. 수학교육 전문가들이 직접 논문을 읽고 질적으로 평가한 선행연구 결과와 유사한 결과를 기계학습 프로그램으로 도출할 수 있었다. 많은 인원과 시간이 필요했던 수학교육 연구의 영향력 평가를 인공지능을 이용하여 효율적으로 실시할 수 있었다는 점에서 의의가 있다.

• 간호행정학회지
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• 제4권1호
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• pp.215-228
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• 1998

The purpose of this study is analysis of 52 dissertations on assertiveness training which presented from 1982 to 1997 in Korea. It was diversified the research purpose to by 1) time of publication or presentation 2) research design, characteristics of subjects used in each study 3) related concepts, the effects of nursing interventions according to related concepts 4) the effects of nursing interventions according to the subjects 5) the effects of nursing interventions according to the frequency and the period of assertiveness training 6) the effects of nursing interventions according to the group size. 7) the effects of nursing interventions according to the necessary time per round. Findings obtained in the study were as follows : 1. At the point of the numbers of studies presented by year, the number of the studies tend to increase, especially the most plentiful papers were presented during five years from 1991 to 1995. 2. Research design of the studies belong to experimental research. The subjects of research consists of 5 Nursing related subjects and 47 Non-nursing related subjects so that Non-nursing related subjects contain much large proportion. 3. When studies were classified by the related concepts, they were classified that 17 studies were by assertiveness & assertive behaviour, 15 ones anxiety, 9 ones self & ego, 7 ones depression. It can be inferred that studies related to assertive behaviour, self & ego, sociality and power of learning were increasing. Otherwise, studies related to anxiety, depression, aggression, shyness and anguish were decreasing. 4. At the point of the nursing intervention effect by the subjects, the concepts of assertive behavior, feeling of self-respect and sociality were increasing, but the concepts of conflict and interpersonal stress were decreasing and the concepts of anxiety and sociality were ineffective in the subjects related Nursing. On the contrary, the concepts of assertive behavior, sociality and personalty were increasing, but the concepts of anxiety, depression, aggression, shyness, self-estranged feeling were decreasing and the concepts of assertive behavior, aggression, personalty, power of learning, anxiety, self-concepts and self-expression were ineffective in the subjects related Non-Nursing. 5. 18 studies can be found, which investigated 10 times for 5 weeks from the point of the nursing intervention effect by the times and the period of assertiveness training. In case of over 5 times of assertiveness training, assertiveness, assertive behavior and personality(tranquility, depression) increased. In 6 times, feeling of self-respect & egorespect increased but depression, interpersonal stress and anxiety decreased. In over 10 times, shyness, shame and feeling of self-estrangement decreased. In over 12 times, interpersonal anxiety decreased. 6. In the event of nursing intervention effect by the size of the group, it was greatest within 10 persons in 21 studies. In case of within 10 to 20, only feeling of self-expression were ineffective. Particularly, in case of over 31 persons, there were no ineffective concepts. 7. At the viewpoint of nursing intervention effect by the necessary time of one time, it was greatest within 1 to 2 hours in 32 studies. In case of within 1hour, aggression, power of learning and assertiveness were ineffective. In case of within 1 to 2 hours, assertive behavior, self-expression, personality and anxiety were ineffective. Particularly, in case of within 2 to 3 hours, there were no ineffective concepts.

• 전기학회논문지P
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• 제58권3호
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• pp.249-256
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• 2009

The widely used control theory based design of PI family controllers fails to perform satisfactorily under parameter variation, nonlinear or load disturbance. In high performance applications, it is useful to automatically extract the complex relation that represent the drive behaviour. The use of learning through example algorithms can be a powerful tool for automatic modelling variable speed drives. They can automatically extract a functional relationship representative of the drive behavior. These methods present some advantages over the classical ones since they do not rely on the precise knowledge of mathematical models and parameters. The paper proposes high performance speed and current control of synchronous reluctance motor(SynRM) drive using adaptive learning mechanism-fuzzy neural network (ALM-FNN) and fuzzy logic control (FLC) controller. The proposed controller is developed to ensure accurate speed and current control of SynRM drive under system disturbances and estimation of speed using artificial neural network(ANN) controller. Also, this paper proposes the analysis results to verify the effectiveness of the ALM-FNN, FLC and ANN controller.

• Biomolecules & Therapeutics
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• 제12권3호
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• pp.138-144
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• 2004

Therapeutic effect of a Kampo medicine, Choto-san, in patients with vascular dementia was demonstrated by a double-blind and placebo-controlled clinical trial. To clarify the therapeutic efficacy of Choto-san, anti-ischemic effect in mice, hypotensive effect in spontaneously hypertensive rats (SHR), anti-oxidative effects in vitro, and N-methyl-D-aspartate (NMDA) receptor-blocking activity using Xenopus oocytes were studied. (1) Pretreatment with Choto-san (0.75-6.O g/kg, P.O.) or a component herb Chotoko (Uncaria genus: 75 - 600 mg/kg, P.O.) prevented ischemia-induced impairment of spatial learning behaviour in mice. Indole alkaloids- and phenolic fractions extracted from Chotoko also improved significantly the learning deficit. (2) Subchronic administration of Choto-san (0.5 g/kg, p.o.) caused a significant hypotensive effects in SHR. (3) Choto-san, Chotoko, and the phenolic constituent, (-) epicatechin, significantly protected the NG108-15 cell injury induced by $H_20_2$ exposure in vitro and also inhibited lipid peroxidation in the brain homogenate. (4) Indole alkaloids, rhynchophylline and isorhynchophylline (1-100 uM), reversibly reduced NMDA-induced current in the receptor-expressed Xenopus oocytes. These results suggest that anti-vascular dementia effects of Choto-san are mainly due to the effect of Chotoko. From these results, it is possible to make a novel dietary supplement through several extraction steps from Chotoko.

• International Journal of Computer Science & Network Security
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• 제23권11호
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• pp.117-127
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• 2023

In many training institutions, the major advancement of Information Technology is having a profound impact on the way in which instructors teach and students learn, as well as how the two interact. The training process is continuing with the goal of enhancing the calibre of instruction and engagement. Top colleges and institutions have more recently developed a variety of Massive Open Online Courses (MOOC) systems centred on the development of new educational offering ways. These have not only captured the interest of students and scholars in the field of higher education, but also that of staff members in the private and public sectors. This study uses a Unified Theory of Acceptance and Use of Technology (UTAUT) model to assess the top MOOC providers and pinpoint the key elements influencing learner acceptance of MOOCs in Saudi Arabian training. A total of 382 government trainees in Saudi Arabia participated in an online survey, the results of which underwent analysis using structural equation modelling. This study identifies the key elements influencing Saudi government employee trainees' intentions to use MOOCs, with the findings indicating that the suggested model can account for 86.2% of user behaviour and 88.5% of user intentions.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2011년도 정기총회 및 추계학술대회 논문집
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• pp.2548-2556
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• 2011

The safety culture of an organization is the product of individual and group values, attitudes, perceptions, competencies, and patterns of behaviour that determine the commitment to, and the style and proficiency of, an organization's health and safety management. A good safety culture includes effective, appropriate safety management systems; strong safety leadership & commitment from management; participation and involvement of the workforce; and organizational learning and continuous improvement. This paper will introduce the safety culture inspection standards and process in Korea Railway. The main purpose is to get a better understanding of safety culture and to develop measuring tool. First of all we developed the composition factor of safety culture and the question set. And we prepared the base of computerization of safety culture measurement by developing of evaluation standards and weighted value.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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• pp.708-711
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• 1997

This paper proposes the hybrid algorithm for the optimization of the structure and parameters of the fuzzy neural networks by genetic algorithms (GA) to improve the behaviour and the design of fuzzy neural networks. Fuzzy neural networks have a distinguishing feature in that they can possess the advantage of both neural networks and fuzzy systems. In this way, we can bring the low-level learning and computational power of neural networks into fuzzy systems and also high-level, human like IF-THEN rule thinking and reasoning of fuzzy systems into neural networks. As a result, there are many research works concerning the optimization of the structure and parameters of fuzzy neural networks. In this paper, we propose the hybrid algorithm that can optimize both the structure and parameters of fuzzy neural networks. Numerical example is provided to show the advantages of the proposed method.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2000년도 춘계공동학술대회 논문집
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• pp.330-336
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• 2000

This paper discusses the potential of system dynamics modelling to support balanced scorecard. The balanced scorecard is a conceptual framework for translating an organisation's strategy into a set of performance indicators. These performance indicators are distributed across the 'classic'model's four perspective: Customers, Internal Business Processes, Financial, and Learning and Growth. This balanced scorecard, whilst having significant strength, suffers from the limitation of all performance indicator systems, namely that the interrelationships between indicators are overlooked and there is no way of taking into account the impact of delayed feedback which flows from introduction of new policy and legislative changes. System Dynamics is a methodology for understanding complex problems where there is dynamic behaviour and where feedback impacts significantly on system outcomes. System dynamics provides a rigorous basis for qualitative testing of the effects of performance indicators in complex environments such as health or social security. This can be supplemented with quantitative system dynamics simulation tools that further test the validity of indicators and the business rules implicit in them. System dynamics modelling has an important role to play in extending feedback cycle in performance measurements to a full systems approach.