• International conference on construction engineering and project management
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• 2022.06a
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• pp.1154-1161
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• 2022

Building Information Modelling (BIM) has evolved into a comprehensive, collaborative method in construction project delivery. Most industrialized and developed countries have made BIM mandatory in the government and public projects, whereas developing countries are embracing and catching up BIM technologies to improve their professional's abilities and reduce claims in the construction projects. However, BIM awareness and professional's competence have become critical in implementing BIM in infrastructure projects in Nepal, particularly hydropower projects. The objectives of this study are to find the BIM awareness among hydropower professionals in Nepal and assess their response. The study used a questionnaire survey to assess the awareness. The results showed that only few professionals (12 percentage in this study) are aware of BIM and its application in Hydropower infrastructures. Majority of the respondents (more than 50%) were interested in BIM trainings and believed BIM implementation in future projects. The study indicated that lack of BIM training and lack of BIM awareness were the top factors affecting BIM implementation in hydropower projects in Nepal. The findings showed that about 66 percent of the respondents who used BIM in their projects mainly used during construction phase. More than 80 percent believed that BIM should be mandated for the hydropower projects in Nepal. The findings presented in this study could promote awareness among different professionals, organization, and construction team and encourage BIM implementation in Hydropower projects. The findings could raise awareness of BIM in Nepal's infrastructure sectors and its invaluable benefits in construction.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.140-142
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• 2023

Federated learning (FL) is a new paradigm in machine learning (ML) that enables multiple devices to collaboratively train a shared ML model without sharing their local data. FL is well-suited for applications where data is sensitive or difficult to transmit in large volumes, or where collaborative learning is required. The Internet of Underwater Things (IoUT) is a network of underwater devices that collect and exchange data. This data can be used for a variety of applications, such as monitoring water quality, detecting marine life, and tracking underwater vehicles. However, the harsh underwater environment makes it difficult to collect and transmit data in large volumes. FL can address these challenges by enabling devices to train a shared ML model without having to transmit their data to a central server. This can help to protect the privacy of the data and improve the efficiency of training. In this view, this paper provides a brief overview of Fed-IoUT, highlighting its various applications, challenges, and opportunities.

• Journal of Hospice and Palliative Care
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• v.19 no.4
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• pp.292-295
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• 2016

Hospice and palliative care in Taiwan has been growing continuously. The 2015 Quality of Death index, as rated by the Economist Intelligence Unit, ranked Taiwan first among Asian countries and sixth in the world. In this review article, we highlight three particular areas that might have contributed to this success; the laws and regulations, spiritual care and research network. Finally, we discuss the future challenges and prospects for Taiwanese encounters. A systemic review was conducted with the keywords "hospice palliative care Taiwan" using PubMed. The passing of the "Natural Death Act" in 2000 set the example and established a landmark for patient autonomy in Asia; it guarantees the patient's right to request that medical staff do not resuscitate (DNR) them and to reject other futile medical treatments at the end of their life, thus reflecting the importance of palliative care from the policy perspective. In 2015, Taiwan passed another pioneering law entitled the "Patient Autonomy Act". This law states that a patient may decline medical treatment according to his/her own will. Taiwanese indigenous spiritual care was launched in 2000. It requires a Buddhist Chaplain to successfully complete a training program consisting of lectures, as well as bedside practicum before applying Buddhist practices to end-of-life care. The Japan-Korea-Taiwan research network was established for the purpose of enabling collaborative research for the East-Asian collaborative cross-cultural Study to Elucidate the Dying process (EASED) cohort. With consensus from the government and society to make it a priority, hospice and palliative medicine in Taiwan has been growing steadily.

• Journal of the Korean Chemical Society
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• v.65 no.4
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• pp.279-295
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• 2021

The purpose of this study was to investigate the effect of Character-centered instruction model on pre-service science teachers' awareness of both character education and character education in science education. First of all, pre-questionnaires about the sixteen pre-service science teachers' awareness of character education and character education in science education were asked. Through the lectures during a semester, they received an education about CoProC(Collaborative Problem-Solving for Character competence) model using Character-centered instruction model and character education. After the implementation, their changes of awareness were inspected through post-questionnaires. As a result of the study, it was revealed that general pre-service science teachers' pre-awareness of character education was mostly negative. The pre-service science teachers were more aware of character education in science classes than general character education. Even that, there seemed to be a greater tendency to think in connection with specific content and subject matter and character education rather than developing competencies due to the nature of the science subject itself. However, the experiences of the CoProC model changed their perception about character into a competent point of view, and thus influenced the change in their perception of character education. Therefore, education on character education methods for pre-service science teachers at teacher training institutions will increase their expertise in character education and help establish effective character education in school in the long term.

• Journal of Intelligence and Information Systems
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• v.28 no.3
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• pp.119-137
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• 2022

Recent recommendation system studies apply various deep learning models to represent user and item interactions better. One of the noteworthy studies is ONCF(Outer product-based Neural Collaborative Filtering) which builds a two-dimensional interaction map via outer product and employs CNN (Convolutional Neural Networks) to learn high-order correlations from the map. However, ONCF has limitations in recommendation performance due to the problems with CNN and the absence of side information. ONCF using CNN has an inductive bias problem that causes poor performances for data with a distribution that does not appear in the training data. This paper proposes to employ a Vision Transformer (ViT) instead of the vanilla CNN used in ONCF. The reason is that ViT showed better results than state-of-the-art CNN in many image classification cases. In addition, we propose a new architecture to reflect side information that ONCF did not consider. Unlike previous studies that reflect side information in a neural network using simple input combination methods, this study uses an independent auxiliary classifier to reflect side information more effectively in the recommender system. ONCF used a single latent vector for user and item, but in this study, a channel is constructed using multiple vectors to enable the model to learn more diverse expressions and to obtain an ensemble effect. The experiments showed our deep learning model improved performance in recommendation compared to ONCF.

• Journal of Practical Engineering Education
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• v.14 no.3
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• pp.543-553
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• 2022

A collaborative robot(Cobot) is one of the production systems presented in the 4th industrial revolution and are systems that can maximize efficiency by combining the exquisite hand skills of workers and the ability of simple repetitive tasks of robots. Also, research on the development of an efficient interface method between the worker and the robot is continuously progressing along with the solution to the safety problem arising from the sharing of the workspace. In this study, a method for controlling the robot by recognizing the worker's hand signal was presented to enhance the convenience and concentration of the worker, and the safety of the worker was secured by introducing the concept of a safety zone. Various technologies such as robot control, PLC, image processing, machine learning, and ROS were used to implement this. In addition, the roles and interface methods of the proposed technologies were defined and presented for using educational media. Students can build and adjust the educational media system by linking the introduced various technologies. Therefore, there is an excellent advantage in recognizing the necessity of the technology required in the field and inducing in-depth learning about it. In addition, presenting a problem and then seeking a way to solve it on their own can lead to self-directed learning. Through this, students can learn key technologies of the 4th industrial revolution and improve their ability to solve various problems.

• Journal of Korean Society of Archives and Records Management
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• v.17 no.1
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• pp.163-192
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• 2017

The purpose of this study is to clarify the work of a local government records manager, provide job analysis using importance-performance analysis (IPA), and define the differences and characteristics in the perception of the work by employment and career type with the aim of providing basic data on effective business operation. To this end, this study conducted statistics analysis and an IPA matrix after analyzing the work of records managers in the local government and conducting surveys. Based on the analysis results, this study suggests installing a local archives management institution, securing the necessary budget for performing works, training staff, calling for assistant staff and collaborative work between other departments within the organization, and retraining of jobs differently based on the difference in perception of work by employment type and career as solutions.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.10 no.1
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• pp.38-45
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• 2017

Attacking of computer and network is increasing as information processing technology heavily depends on computer and network. To prevent the attack of system and network, host and network based intrusion detection system has developed. But previous rule based system has a lot of difficulties. For this reason demand for developing a intrusion detection system which detects and cope with the attack of system and network resource in real time. In this paper we develop a real time intrusion detection system which is combination of APEX and LS-SVM classifier. Proposed system is for nonlinear data and guarantees convergence. While real time processing system has its advantages, such as memory efficiency and allowing a new training data, it also has its disadvantages of inaccuracy compared to batch way. Therefore proposed real time intrusion detection system shows similar performance in accuracy compared to batch way intrusion detection system, it can be deployed on a commercial scale.

• Journal of The Korean Association of Information Education
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• v.18 no.4
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• pp.625-632
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• 2014

Due to the development of information and communication technology smart devices and apps, SNS, mirroring communication is made with such a smart and education to reflect the change of emphasis on the recent variety of collaborative social interaction are emerging. In this study, smart training and LT cooperative learning model developed in conjunction with the 'Smart-based cooperative learning 'model applied in the third grade social studies class and Smart-based cooperative learning and cooperative learning common to kidney doctor communication skills of elementary school students the impact on the communication capacity compared respectively, were analyzed. As a result, the expression of the elementary school, listening and understanding, all the sub-areas of interaction, such as communication skills in social studies class kidneys were applied to Smart-based cooperative learning in elementary school than applying the general cooperative learning model. This is not said to improve the ability to interact with the Smart-based cooperative learning in speech and in writing and clearly express the thoughts and opinions of students and separates help you understand the meaning of the words and writings of other students for the purpose in social situations can.

• Journal of the Korean Society for Library and Information Science
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• v.42 no.2
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• pp.109-146
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• 2008

This study focuses on how to introduce the concept of Information Commons(IC) into school libraries in order to help them Perform their roles required to satisfy new types of their users' demands. It intends to examine the concept of IC to draw the IC elements applicable to school libraries and propose a feasible model for them. The main objects of this study are school libraries and Information Commons. In particular, this study brings the derivation of IC elements and the construction of an IC model for school libraries into focus. This study sorted the three factors by peculiarities of school libraries. Each classification is as follows: physical elements were divided into learning space, creation space, community space, and service counters; human resources were divided into teacher-librarian. IT engineers, and student assistants; and services were divided into information literacy training and integrated, collaborative services. Based upon the derived IC constituents, it proposed a diagram that outlines the IC services concept for school libraries, an IC model and an IC floor plan for them.