• Journal of Families and Better Life
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• v.25 no.4
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• pp.181-196
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• 2007

The present study was to investigate child care teather's and parents's recognition and need about child counseling and to analyse differences between them. The subjects for this study were 244 child care teachers and 260 mothers of the day care centers. The major finding were as follows; Most child care teachers are aware of child counseling through lecture, pre-service education, and internet. Most mothers hear about child counseling through internet. They think that child counseling is very effective for young children, especially for negative experience and emotion. Most child care teachers think that they can administer child counseling. especially daycare centers. But mothers think that special facilities is the most appropriate place by child counseling. Child care teachers and mothers regard the credibility of human being as personal characteristics required for child counseling. Counseling specialists are to be the most appropriate person for followed by child care teather's and parents. And they think that special training is needed for child counseling. but few of them receive special training. They perceive the necessity of professional education in child counseling. but they rarely experience related education of child counseling. Especially, they feel lack of time and information. They also want to apply to child counseling children education after learning it through counseling association or by observing real situations in child counseling center using morning time or during weekends. Most mothers and child care teachers know play therapy, art therapy. bibliotherapy, sand play therapy.

• Nuclear Engineering and Technology
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• v.53 no.2
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• pp.657-665
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• 2021

Nondestructive evaluation methods play an important role in ensuring component integrity and safety in many industries. Operator fatigue can play a critical role in the reliability of such methods. This is important for inspecting high value assets or assets with a high consequence of failure, such as aerospace and nuclear components. Recent advances in convolution neural networks can support and automate these inspection efforts. This paper proposes using residual neural networks (ResNets) for real-time detection of corrosion, including iron oxide discoloration, pitting and stress corrosion cracking, in dry storage stainless steel canisters housing used nuclear fuel. The proposed approach crops nuclear canister images into smaller tiles, trains a ResNet on these tiles, and classifies images as corroded or intact using the per-image count of tiles predicted as corroded by the ResNet. The results demonstrate that such a deep learning approach allows to detect the locus of corrosion via smaller tiles, and at the same time to infer with high accuracy whether an image comes from a corroded canister. Thereby, the proposed approach holds promise to automate and speed up nuclear fuel canister inspections, to minimize inspection costs, and to partially replace human-conducted onsite inspections, thus reducing radiation doses to personnel.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.83-91
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• 2021

Health is an outset of psychological, social, financial, and physical state. Several macroeconomic factors are entangled with health and mortality. Infant mortality and life expectancy are two keyguard on demographic research context on last few decades. On the other hand, foreign inflows play an unprecedent role for raising economic circulation and providing more opportunities to build a better society. The study aims to investigate the relationship between foreign direct investment (FDI), economic growth, and Bangladesh's health. This study employs time-series data from 1980 to 2018. Results show, with Auto-regressive Distribute Lag (ARDL) model, that there is significant cointegration among variables. Foreign investment and economic output relate significantly and positively to health. On the contrary, education is quasi-linked with a different sign-on different model. For model validation, pitfalls of time-series multicollinearity, heteroscedasiticy, and autocorrelation are not present. Also, CUSUM and CUSUMSQ tests are validating the model as stable and fit for future prediction. Medical assessment and education need more attention from the government as well as the private sector. FDI can play a catalyst role for improving the health sector, raising opportunity in educating and creating a better lifestyle. In order to optimize foreign investment, the government should implement necessary reforms and policies.

• Journal of Korea Entertainment Industry Association
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• v.8 no.2
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• pp.283-297
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• 2014

The future of human life is expected to be innovative by increasing social, economic, political and personal, including all areas of life across the multi-disciplinary skills. Particularly, in the field of robotics and next-generation games with robots, by multidisciplinary contributions and interaction, convergence between technology is expected to accelerate more and more. The purpose of this study is that by new interface model beyond the technical limitations of the "human-robot interface technology," until now and time and spatial constraints and through fusion of various modalities which existing human-robot interface technologies can't have, the research of more reliable and easy free "human-robot interface technology". This is the research of robot game system which develop and utilizing real time synchronization engine linking between biped humanoid robot and the behavior of the position value of mobile device screen's 3D content (contents), robot (virtual robots), the wireless protocol for sending and receiving (Protocol) mutual information and development of a teaching program of "Direct Teaching & Play" by the study for effective teaching.

• International conference on construction engineering and project management
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• 2024.07a
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• pp.1256-1263
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• 2024

In the realm of Architecture, Engineering, and Construction (AEC) education, various factors play a crucial role in shaping students' acceptance of the learning environments facilitated by visualization technologies, such as virtual reality (VR). Works on leveraging the heterogeneous educational information (i.e., pedagogical data, student performance data, and student survey data) to identify essential factors influencing students' learning experience and performance in virtual environments are still insufficient. This research proposed KnowLearn, an interactive learning assistant system, to integrate an educational knowledge graph (KG) and a locally deployed large language model (LLM) to generate real-time personalized learning recommendations. As the knowledge base of KnowLearn, the educational KG accommodated multi-faceted educational information from twelve perspectives, such as the teaching content, students' academic performance, and their perceived confidence in a specific course from the AEC discipline. A heterogeneous graph attention network (HAN) was utilized to infer the latent information in the KG and, thus, identified the perceived confidence, intention to use, and performance in a relevant quiz as the top three indicators that significantly influenced students' learning outcomes. Based on the information preserved in the KG and learned from the HAN model, the LLM enhanced the personalization of recommendations concerning adopting virtual learning environments while protecting students' privacy. The proposed KnowLearn system is expected to feasibly provide enhanced recommendations on the teaching module design for educators from the AEC domain.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.835-838
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• 2003

Computer vision and natural-language dialogue play an important role in friendly human-machine interfaces for service robots. In this paper we describe an integrated face detection and face recognition system for a welfare robot, which has also been combined with the robot's speech interface. Our approach to face detection is to combine neural network (NN) and genetic algorithm (GA): ANN serves as a face filter while GA is used to search the image efficiently. When the face is detected, embedded Hidden Markov Model (EMM) is used to determine its identity. A real-time system has been created by combining the face detection and recognition techniques. When motivated by the speaker's voice commands, it takes an image from the camera, finds the face inside the image and recognizes it. Experiments on an indoor environment with complex backgrounds showed that a recognition rate of more than 88% can be achieved.

• The Journal of Information Systems
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• v.9 no.1
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• pp.87-108
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• 2000

The tourist industry is expecially one of the successful areas for the application of electronic commerce because it is an information-intensive and consumer-oriented industry where information and services play a large part in transaction processes. A electronic tourism market which integrates tourist information systems, reservation systems, and real-time broadcasting systems based on the Internet Web was developed by a collaborative team of Dongguk University and Daou Tech. Inc. with sponsorship of Kyongbuk province and Minister of Information Communications of Korea. Based on the development case of the system, this paper proposes development and operations strategies of electronic market in the tourist industry. The paper reviews the development strategies in the perspective of potential travelers, technology, cooperation among players, and development methodology. The paper also discusses strategies which are able to be employed as the guideline in order to operate the system.

• Proceedings of the IEEK Conference
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• 2000.06a
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• pp.89-92
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• 2000

In this paper, we consider the interworking methods for Internet layer 3 protocols. The legacy protocol for Internet is IPv4(IP version 4). The ability of IPv4 is not enough for modern real time multimedia communication services. So IPv6(IP version 6) protocol was suggested to resolve the problems of IPv4. 6Bones(IPv6 Backbones) have also constructed from 1996 in many countries. The 6Bones should be interoperatable to the legacy internet. To support all data services including voice and video, IP protocol should be enhanced because the characteristics of modern network services are requiring QoS(Quality of Service) functions, plug and play, security, mobility and so on. So a new IP protocol, IPv6, has been developing to meet the requirements. In this paper, some migration methods for internets are described. We first describe the protocol compatibility problems and suggest some solutions and scenario to solve the problems.

• Proceedings of the CALSEC Conference
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• 1998.10b
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• pp.415-422
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• 1998

The international standard STEP for representation and exchange of product model data, and CORBA as a standard for distributed object computing environment are expected to play very important role in the future manufacturing environment. Platform independent network programming language Java is also becoming a standard environment for developing Internet/Intranet applications. Furthermore, the ObjectWeb environment supported by the combination of CORBA and Java technology provides very efficient and convenient way of developing network applications and user interfaces. In this research, we developed a framework for the real time sharing of STEP data and 3D conference in the ObjectWeb environment and tested our proposal by implementing prototype software which we call STEPShare.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.1139_1141
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• 2009

Distributed Generation (DG) is predicted to play a important role in electric power system in the near future. insertion of DG system into existing distribution network has great impact on real-time system operation and planning. It is widely accepted that micro turbine generation (MTG) systems are currently attracting lot of attention to meet customers need in the distributed power generation market In order to investigate the performance of MT generation systems, their efficient modeling is required. This paper presents the modeling and simulation of a MT generation system suitable for grid-connected operation. The system comprises of a permanent magnet synchronous generator driven by a MT. A brief description of the overall system is given, and mathematical models for the MT and permanent magnet synchronous generator are presented. Also, the use of power electronics in conditioning the power output of the generating system is demonstrated. Simulation studies with MATLAB/Simulink have been carried out in grid-connected operation mode of a DG system. The control strategies for grid connected operation mode of DG system is also presented.