• Journal of the Korean BIBLIA Society for library and Information Science
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• v.22 no.4
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• pp.115-131
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• 2011

The purpose of this study is to provide self-evaluation indicators that each school could judge on its basic conditions for the school library opening to local community. School library opening to local community is one of the significantly operational strategies to contribute to the development of the learning community. But the school library has insufficient resources and support system for their local services. According to the survey teacher librarians who have the experience for their school library opening to local community have considered of deploying teacher librarian as the most important factor. And they asserted emphatically that school library would secure personnel expenses and obtain facilities and resources to provide the stable and systematic service. Also among the school library's educational activities, reading education is considered the most suitable program for the community.

• Journal of The Korean Association of Information Education
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• v.8 no.3
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• pp.385-394
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• 2004

The process for the information society centered on the internet supplied us a space of another life, cyber space. In the reality that the cyber space exercised its influence on the our society outstandingly, this researcher think that it needs to have to discuss about the cyber school in the elementary schools by making use of experience the soft landing of cyber university. This study suggested the model of cyber elementary school applicable to the elementary schools, and discussed with the operational plan by the model. Also, it examined the field teachers' opinions about the model classification and operation through the questionnaire, and analyzed the result. It was divided into the four sorts of cyber elementary schools like the school support type, school associated type, and independent type, and transitional period type. This study researched the concept by the model each, the object and purpose of major education, the operational system, curriculum and contents. As a result of collecting their opinions through the questionnaire, it is desirable to be operated as the transitional period type and the school support type in case of the introduction of cyber elementary schools in the present elementary schools.

• Proceedings of the KSR Conference
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• 1999.11a
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• pp.46-53
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• 1999

As of July 1999, i,185 lomocotives(excluding metropolitan area electric locomotives) are in Korean National Railroad(KNR). With this limited number of resources assigning locomotives to each trains of timetable is very important in the entire railway management point of view because schedule can be regarded as goods in transportation industry. On a simple rail network, it is rather easier to assign proper locomotives to trains with the experience of operating experts and get optimal assignment solution. However, as the network is getting bigger and complicated, the number of trains and corresponding locomotives will be dramatically increased to rover all the demands required to service all of the trains in timetable. There will be also numerous operational constraints to be considered. Assigning proper locomotives to trains and building optimal cyclic rotations of locomotive routings will result in increasing efficiency of schedule and giving a guarantee of more profit. The purpose of this study is two fold: (1) we consider a planning-level locomotive scheduling problem with the objective of minimizing the wasting cost under various practical constraints and (2) development of implementation prototype program of its assigning result. Not like other countries, i.e. Canada, Sweden, Korean railroad operates on n daily schedule basis. The objective is to find optimal assignment of locomotives of different types to each trains, which minimize the wasting cost. This problem is defined on a planning stage and therefore, does not consider operational constraints such as maintenance and emergency cases. Due to the large scale of the problem size and complexity, we approach with heuristic methods and column generation to find optimal solution. The locomotive scheduling prototype consists of several modules including database, optimization engine and diagram generator. The optimization engine solves MIP model and provides an optimal locomotive schedule using specified optimization algorithms. A cyclic locomotive route diagram can be generated using this optimal schedule through the diagram generator.

• Proceedings of the SAREK Conference
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• 2006.06a
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• pp.245-251
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• 2006

The main idea of this study is to turn attention on the question of good cooling ability of customer substations in large district heating networks. The main reason for that is based on our experience that the optimization of district heating very often is directed toward production, whereas questions of optimal distribution are neglected if only the necessary load can be supplied and the customer's request for comfort is met. Our view is that low return temperature(operational temperature differences, ${\Delta}T$) in district heating systems is an Important feature for efficient net operation and gives both economic and operational benefits to the district heating supplier Furthermore, it is as well a prerequisite for meeting the customers demand for reliable supply of the heat load. However, in many practical cases we have seen that district heating return temperatures are higher than necessary. Hence, the aim of the study is to propose and verify a method for detection of the most critical consumers of the net and to identify the reasons for resulting high return temperature. From the results, temperature control system is presented as one of the most important reason of high return temperature in DH networks.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.2
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• pp.85-92
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• 2021

Ambient Air Vaporizer (AAV) is an essential facility in the process of generating natural gas that uses air in the atmosphere as a medium for heat exchange to vaporize liquid natural gas into gas-state gas. AAV is more economical and eco-friendly in that it uses less energy compared to the previously used Submerged vaporizer (SMV) and Open-rack vaporizer (ORV). However, AAV is not often applied to actual processes because it is heavily affected by external environments such as atmospheric temperature and humidity. With insufficient operational experience and facility operations that rely on the intuition of the operator, the actual operation of AAV is very inefficient. To address these challenges, this paper proposes an artificial intelligence-based model that can intelligent AAV operations based on operational big data. The proposed artificial intelligence model is used deep neural networks, and the superiority of the artificial intelligence model is verified through multiple regression analysis and comparison. In this paper, the proposed model simulates based on data collected from real-world processes and compared to existing data, showing a 48.8% decrease in power usage compared to previous data. The techniques proposed in this paper can be used to improve the energy efficiency of the current natural gas generation process, and can be applied to other processes in the future.

• Journal of The Korean Association For Science Education
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• v.21 no.1
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• pp.76-88
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• 2001

This study explored people's accuracy and methods of estimating some base physical quantities, i.e. length, mass, time and temperature. A total of 40 members, ranging from freshmen to professors, of a physics education department of a local university were asked to make two different kinds of estimations, intuitive and operational, on two sets of objects. For intuitive estimation, they were asked to make estimations on four given objects (length - wood chopsticks, mass - rubber eraser, time electric fan, temperature - water in a cup) as soon as they faced with the objects, usually within a few seconds of seeing. For operational estimation, they were allowed to make estimations on a different set of objects (length - plastic rod, mass - lock, time - simple pendulum, temperature - water in a cup) with enough time and they could apply various available methods (e.g. using pencil to estimate the object's length, counting their own pulse rate to estimate time) for the estimation. The findings of this study can be summarized as follows: (1) for length, mass and temperature the intuitive estimations were better performed while for the time estimation the result was the reverse; (2) there was no positive relationship between the amount of physics experience and the accuracy of the estimation; (3) in general, people's accuracy of the length estimation was best performed while their mass estimation was worst performed; (4) people used their own various methods for estimation, esp. using nearby objects around them and applying mental units which have convenient values (e.g. 30cm, 50cm, 1kg, 1 Keun, 1 second).

• Journal of Digital Convergence
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• v.10 no.11
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• pp.47-58
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• 2012

This study selects political and military decision factors of Participatory Government's Wartime Operational Control(OPCON) Transition and analyzes, both quantitatively and qualitatively, the effects and relations between those factors. Previous research utilizing the Analytic Hierarchy Process(AHP) selected their decision factors based on academic data and field experience, requiring more objective analysis of the factors. For this study, we conducted a survey among security subject matter experts(SME) both online and offline. The results show that OPCON transition's decision factors were to 'recover military sovereignty', 'set the conditions for peaceful reunification' and 'improve ROK image through enhancing national power' which differs little from the previous AHP method studies. It also showed that 'recover military sovereignty' and 'set the conditions for peaceful reunification' had no relationship to each other and that the key factor that decided the OPCON Transition was actually 'recover military sovereignty' which represents the interest of the liberal party in ROK. This study finds its meaning by analyzing the decision factors of Participartory Government's OPCON Transition thorugh Delphi and DEMATEL method.

• Convergence Security Journal
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• v.18 no.1
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• pp.143-155
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• 2018

The purpose of this study is to extract the failure attributions to identify the failure factors of the security guards and to derive the risk factor factors through failure cases analysis. Failure attributions were prepared by using semi-structured questionnaires(17) and closed questionnaires(179) starting from the fully open questionnaires(8), and processed through SPSS 21.0 and AMOS 21.O statistical packages. As a result of summarizing the causal relationship between the failure attribution and the failure case (patrol failure pattern factor), In Park Jung-Hee's assassination, lack of experience(2), negative mind(1), lack of work ability(1), lack of experience(2), organizational non-system activeness(2), lack of awareness of mission(1) Failure(2), lack of consciousness(2), and 14 failure patterns were found. Aung-San National Cemetery explosion occurred in eight failure patterns including insecurity(1), negative mind(1), lack of work skills(2), lack of experience(2), individualism(1), There were eight failure patterns in the case of Mr. Yook Young-Su 's sniping, including insincerity(2), negative mind (1), lack of experience(2), lack of awareness of mission(2) and failure to share work(1).

• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.668-670
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• 2004

Taipei Water Management Office (TWMO) is one of the eleven district offices in Water Resource Agency. Water management is the top priority to be pursued both on daily management and long-term management at TWMO. There are five departments to perform a wide range of tasks in addition to water management. All management prescriptions are simply to provide sustainable clean water for about four millions population in Taipei. TWMO has gone through 16 years experience of development and implementation of GIS in water management. The objectives of this paper are to provide the major ingredients of successful and operational GIS for water management. The five departments at TWMO have performed tasks such as city planning, construction management, forest management, land use enforcement, soil and water conservation, water quality monitoring and protection, garbage collection, and sewage disposal management. Data base creation was one of the major jobs to be done. Update of data base has to be done on a daily basis. Computers, its peripheral, and software are essential for GIS developed at TWMO. Know-how and technical skill on computers and GIS for every technician are contributing significantly such that GIS can be implemented on most of jobs performed at TWMO. Implementations of GIS have been pursued by application modules on a task-oriented basis. Application modules are simple, easy to use, and menu driven with only Chinese. Web-based and mobile GIS are the new components that make water management at TWMO stay on the right course. To solve problems encountered in water management by GIS at TWMO can be easily and user-friendly may be the most important experience.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.7
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• pp.1-13
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• 2020

This study analyzes the key drivers (commitment, integration of big data, green supply chain management, and green human resource practices) of sustainable capabilities and the influence to which these sustainable capabilities impact the banks' environmental and financial performance. Additionally, this study analyzes the impact of green management practices on the integration of big data technology with operations. The theory of dynamic capability was deployed to propose and empirically test the conceptual model. Data was collected through a self-administrated survey questionnaire from 319 participants employed at 35 banks located in six ASEAN countries. The findings indicate that big data analytics strategies have an impact on internal processes and banks' sustainable and financial performance. This study indicates that banks committed towards proper data monitoring of its clients achieve operational efficiency and sustainability goals. Moreover, our results confirm that banks practising green innovation strategies experience better environmental and economic performance as the employees of these banks have received advance green human resource training. Finally, our study found that internal and external green supply chain management practices have a positive impact on banks' environmental and financial performance, which confirms that ASEAN banks contributing in reduction of environmental impact through its operations will ultimately experience increased financial performance.