• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.709-711
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• 2016

An automatic control system to control a machinery system is managed by the PLC(Program Logic Control) and measured a machinery status from the sensor information to improve productivity in the industry field. This paper to propose a diagnostic monitoring system consists of a relay module, a one-chip processor module and a computer monitoring system. To improve productive capacity, the system is to check an auxiliary relay's trouble by a real-time monitoring.

• Electronics and Telecommunications Trends
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• v.37 no.2
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• pp.1-10
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• 2022

Similar to present computers, quantum computers comprise quantum bits (qubits) and an operating system. However, because the quantum states are fragile, we need to correct quantum errors using entangled physical qubits with quantum error correction (QEC) codes. The combination of entangled physical qubits with a QEC protocol and its computational model are called a logical qubit and fault-tolerant quantum computation, respectively. Thus, QEC is the heart of fault-tolerant quantum computing and overcomes the limitations of noisy intermediate-scale quantum computing. Therefore, in this study, we briefly survey the status of QEC codes and the physical implementation of logical qubit over various qubit technologies. In summary, we emphasize 1) the error threshold value of a quantum system depends on the configurations and 2) therefore, we cannot set only any specific theoretical and/or physical experiment suggestion.

• International Journal of Computer Science & Network Security
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• v.22 no.7
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• pp.1-12
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• 2022

The current progression in the Internet of Things (IoT) and Machine Learning (ML) based technologies converted the traditional healthcare system into a smart healthcare system. The incorporation of IoT and ML has changed the way of treating patients and offers lots of opportunities in the healthcare domain. In this view, this research article presents a new IoT and ML-based disease diagnosis model for the diagnosis of different diseases. In the proposed model, vital signs are collected via IoT-based smart medical devices, and the analysis is done by using different data mining techniques for detecting the possibility of risk in people's health status. Recommendations are made based on the results generated by different data mining techniques, for high-risk patients, an emergency alert will be generated to healthcare service providers and family members. Implementation of this model is done on Anaconda Jupyter notebook by using different Python libraries in it. The result states that among all data mining techniques, SVM achieved the highest accuracy of 0.897 on the same dataset for classification of Parkinson's disease.

• Journal of Smart Tourism
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• v.1 no.1
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• pp.3-8
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• 2021

The growing literature on smart tourism and the increasing number of smart tourism initiatives demonstrate that the idea of smart tourism is captivating and that its potential is great. However, its concrete implementation so far has lacked the transformative focus called for by smart development principles. This paper suggests that conceptualizing smart tourism development as a utopian endeavor that requires critiquing the status quo and collective imagining of better tourism and good destinations could help smart tourism efforts transcend their instrumental, short-term, and fragmented character. It further introduces the concept of the Smart Tourism Mindset to propose that, as a utopian enterprise, smart tourism needs to be guided by specific values and traits that permeate actors at all levels. The paper concludes by calling for a greater focus on identifying what these values and traits are and how to best establish and communicate the Smart Tourism Mindset.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.1340-1345
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• 2009

Ministry of Land, Transportation and Maritime Affairs has implemented Construction CALS project for improving informationization level of construction industry and for making construction production system efficient. Although an importance of evaluation on level and performance of construction informationziation projects has been emerged, Construction CALS hasn't been evaluated so far. In this study, the performance indicators of construction CALS as the most important base in creating a performance management system were deduced. For this aim, this study reviewed the former researches on system construction for managing performance, analyzed current status of Construction CALS, arranged the relationship between upper strategies and ISP, developed pools of performance indicators, and this study followed IT BSC methodology. As a result, this study developed performance indicators of Construction CALS through four strategies such as globalization and activation of Construction CALS standards, research & development for reaching to international level in construction informationization technology, stabilization of system operation and distribution by publicizing Construction CALS and improving its functions, and policy implementation for managing and coordinating Construction CALS projects. These indicators will be applied to build a system of performance management.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.217-218
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• 2009

URC 로봇은 고성능 서버를 통해 로봇이 수행할 서비스의 일부를 외부 디바이스에 분담시킴으로써 저렴한 하드웨어로 로봇을 구현하고자 하는 목적을 가지는 지능형 서비스 로봇이다. SOMAR는 유비쿼터스 환경에서 사용자에게 다양한 원격 로봇 서비스를 제공하기 위한 URC 로봇 미들웨어로, URC 로봇 클라이언트와 이를 등록, 제어, 관리하는 서버로 구성된다. SOMAR 서버를 통해 로봇 서비스를 수행하기 위해서는 로봇 클라이언트의 상태정보를 모니터링하여 수행가능 여부를 판단해야 한다. 본 논문은 이러한 상태정보 모니터링을 위해 R-OSGi를 이용한 분산 Observer 패턴을 구현한다. Observer 패턴은 객체간에 느슨한 결합구조를 가져 URC 로봇 클라이언트 모니터링 프로그램의 개발과 수정이 용이하고, 플러그인 방식의 개발을 통해 다양한 프로그램 설치와 응용이 가능하다.

• Nuclear Engineering and Technology
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• v.54 no.11
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• pp.4280-4295
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• 2022

In this paper, a new multi-group neutron-gamma transport calculation code system STRAUM-MATXST for complicated geometrical problems is introduced and its development status including numerical tests is presented. In this code system, the MATXST (MATXS-based Cross Section Processor for S_N Transport) code generates multi-group neutron and gamma cross sections by processing MATXS format libraries generated using NJOY and the STRAUM (S_N Transport for Radiation Analysis with Unstructured Meshes) code performs multi-group neutron-gamma coupled transport calculation using tetrahedral meshes. In particular, this work presents the recent implementation and its test results of the Krylov subspace methods (i.e., Bi-CGSTAB and GMRES(m)) with preconditioners using DSA (Diffusion Synthetic Acceleration) and TSA (Transport Synthetic Acceleration). In addition, the Krylov subspace methods for accelerating the energy-group coupling iteration through thermal up-scatterings are implemented with new multi-group block DSA and TSA preconditioners in STRAUM.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.119-120
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• 2022

지하수라는 수자원의 관리를 위해, 관련 데이터를 제공하여 정책 수립에 유용한 정보가 될 수 있도록 지하수 정보 제공 데이터베이스 시스템을 구축한다. 기초 데이터로는 지역별, 용도별, 연도별 지하수 이용 정보를 사용하였고, 또한 지하수 이용의 허가 신고현황과 전국 지하수 관련 업체 분포에 관한 자료를 활용했다. 이를 통해 허가 정보와 관련 업체의 수, 부담금의 액수, 연도별 경향성을 지하수 이용량과 연관지어 둘 사이의 관계를 알아보았다. 결과적으로 지하수 이용 부담금이나 관련 업체의 분포가 합리적이지 못하게 이루어지고 있음을 파악했다. 따라서 이 연구에서 구축한 데이터베이스 시스템이 정책적 보완에 기여할 수 있으리라 사료된다.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.26-27
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• 2015

In the trend of globalization and location transfer of existing production bases is still characterized by an extremely unstable status between different countries and different regions. The results are negative impacts on cost, quality and speed of project implementation, especially automobile industry which is one of the most complex manufacturing sectors. In order to overcome problems from Global Standardization of Production Line and its Localization, it is highly required comprehensive coordination among design of production equipment, production technology, space and interfaces. It is necessary to set up standard of production equipment and building for parallel progress, in order to complete production line in shortest time for launching product. In addition, this standard should keep flexibility with consideration of local situation which means "Glocalization."

• Educational Technology International
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• v.7 no.2
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• pp.1-21
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• 2006

Blended learning has become one of the major trends in Korean corporate training. However, there has been scant research on blended learning in corporate trainings settings in Korea. The purpose of the present study was to explore current and future trends of blended learning in corporate and other training settings in Korea. 136 people from training related fields such as human resource development (HRD), training, and e-learning participated in this research. The findings revealed many interesting current trends and future expectations related to blended learning in training settings. In regards to the overall status of blended learning in Korean corporations, participants displayed strong interest in blended learning and were expecting that the importance of blended learning would grow in their organizations either modestly or significantly during the next few years. In addition, the perceptions of the respondents regarding the benefits of blended learning and the barriers to implementation in their respective organizations were analyzed.