• International Journal of Precision Engineering and Manufacturing
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• v.9 no.3
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• pp.75-78
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• 2008

Tire molds are manufactured by aluminum casting, direct five-axis machining, and electric discharging machining. Master models made of chemical wood are necessary if aluminum casting is used. They are designed with a three-dimensional computer-aided design system and milled by a five-axis machine. In this paper, a method for generating and machining a tire surface model is proposed and demonstrated. The groove surfaces, which are the main feature of the tire model, are created using a parametric design concept. An automatically programmed tool-like descriptive language is presented to implement the parametric design. Various groove geometries can be created by changing variables. For convenience, groove surfaces and raw cutter location (CL) data are generated in two-dimensional drawing space. The CL data are mapped to the tread surface to obtain five-axis CL data to machine the master model. The proposed method was tested by actual milling using the five-axis control machine. The results demonstrate that the method is useful for manufacturing a tire mold.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2007.04a
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• pp.819-824
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• 2007

Outfitting system in ship design has huge kinds of standard part. Data base of and automatic design procedure of part master should be included in ship cad in order to reduce the design time. Present study shows an process of part master DB construction of pipe equipments using 3-dimensional CAD environment Attribute and properties of part masters are chosen from JIS standard. As the schema of part masters are stored in data base, 3D geometric model is parsed from the schema.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.7 no.2
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• pp.35-40
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• 2013

In WBAN environment, it is very important to achieve energy efficiency of master and nodes, At the same time, a master also plays an important role in collecting data from nodes and controlling the nodes. By maintaining a master properly, any kinds of situation can be handled. Therefore, low power MAC protocol between a master and a node is highly required appropriately. We propose an improved MAC protocol by simply changing the frame structure of WBAN system. The simulation results show that the proposed scheme attains a lot of saving of energy consumption of master and each node compared with IEEE 802.15.6 and conventional schemes.

• Journal of Information Technology Applications and Management
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• v.20 no.4
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• pp.83-95
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• 2013

This study aims to analyze factors that affect satisfaction of students in employment-contract information technology master programs, and suggest policy implications to improve management of employment-contract master programs. A survey of students supported by Software master program of National IT Industry Promotion Agency (NIPA) and Knowledge Information Security master program of Korea Internet and Security Agency (KISA) indicates that department administration, department vision, scholarship, adviser, and lecturer affect satisfaction of students in employment-contract master programs in listed order.

• Journal of Korean Library and Information Science Society
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• v.44 no.1
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• pp.201-225
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• 2013

In order to overcome the problems of current approaches to metadata interoperability based on element mapping, this research proposed Master Element Framework that is an alternative approach to metadata interoperability. It is an approach to integrate metadata elements that have the same value, instead of direct mapping between similar elements. Master Element Framework is constructed to semantically integrate metadata elements in a hierarchical order and to interconnect between heterogeneous metadata standards. This approach is expected to be an alternative approach to metadata interoperability.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.970-973
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• 2012

In cloud environment, enterprises use a number of systems which are not interconnected and save master information in a distributed way in each of them. Master information which is not managed is incorrect and discord each other so that lowers efficiency of business process and disables optimum decision making. It is necessary to do high-qualified management of master information to operate efficient and errorless business process. This paper suggests TMDM as a solution to solve heterogeneous problems occurred between interconnected master information in cloud environment and to manage business process in an efficient method. TMDM is an information storage that is suggested to solve mutual discord problems between master information using Topic Maps that considers correlation between data. Topic Maps can be connected by association between topics in order to access through a topic to all related knowledge information which is described by the topic. This also can be applied to master information between legacy systems within cloud.

• Journal of Environmental Impact Assessment
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• v.9 no.4
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• pp.323-338
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• 2000

A Korean air dispersion modeling software, AirMaster, was developed on a basis of dispersion theories adopted in U.S. EPA's ISC3 (Industrial Source Complex - version 3) model to assess the air quality impact from the stacks. Key characteristics of AirMaster are as follows: 1) The building downwash effect can be easily simulated; 2) The screen, long term, and short term models can be run independently; 3) The input data to run the model such as meteorological and terrain data are supplied automatically from the databases in AirMaster; and 4) The modeling procedure is easy and simple under the GUI window environment. In order to validate AirMaster, comparisons with ISC3 model and Indianapolis tracer experiment were carried out. It was shown that AirMaster was identical to ISCST3 and ISCLT3 models in predicting the 1 hr to annual concentrations from the stack under various stack emission and meteorological conditions. The 1 hr concentrations predicted by AirMaster also showed a good agreement with the Indianapolis tracer measurements.

• Proceedings of the KIEE Conference
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• 2002.07d
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• pp.2430-2432
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• 2002

We made a master hand which can be used as tool for getting grasping data. By using the data from the master hand, we analyzed grasping patterns of human hands. Based on this analyzed results, we developed an grasping algorithm for some particular hand actions. To develop the above algorithm, we programmed a 3D simulation S/W using Visual C++. And we made a slave hand to prove the validity of the proposed algorithm.

• The Research Journal of the Costume Culture
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• v.25 no.2
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• pp.224-236
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• 2017

Kimono sleeves have continuously appeared in modern fashion as a design motif and this trend has become increasingly prevalent recently. However for research in the area of clothing composition for kimono sleeves in Korea, there has been a lack of development of master patterns based on basic data from the analysis of the standard body type of Korean people and finalized designs based on comparative experiments and analysis of pre-existing research Thus, there is no ideal master kimono sleeve pattern development research based on the examination of the results of the analysis of the standard body type of Korean people. Therefore by recognizing the importance of developing a master kimono sleeve pattern, this research aims to present a practical master kimono sleeve pattern for the standard body type of someone in their 30s. First, the four master patterns were collected and a dressing evaluation was conducted, and by selecting and improving one of these master designs, a final research master pattern was developed after a second dressing evaluation. Through this research, it was possible to design a master kimono sleeve pattern appropriate both externally and functionally for the standard body type of someone in their 30s, which has not been a consideration in previous research.

• Nuclear Engineering and Technology
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• v.53 no.10
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• pp.3275-3285
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• 2021

A Nuclear Power Plant (NPP) is a complex dynamic system-of-systems with highly nonlinear behaviors. In order to control the plant operation under both normal and abnormal conditions, the different systems in NPPs (e.g., the reactor core components, primary and secondary coolant systems) are usually monitored continuously, resulting in very large amounts of data. This situation makes it possible to integrate relevant qualitative and quantitative knowledge with artificial intelligence techniques to provide faster and more accurate behavior predictions, leading to more rapid decisions, based on actual NPP operation data. Data-driven models (DDM) rely on artificial intelligence to learn autonomously based on patterns in data, and they represent alternatives to physics-based models that typically require significant computational resources and might not fully represent the actual operation conditions of an NPP. In this study, a feed-forward backpropagation artificial neural network (ANN) model was trained to simulate the interaction between the reactor core and the primary and secondary coolant systems in a pressurized water reactor. The transients used for model training included perturbations in reactivity, steam valve coefficient, reactor core inlet temperature, and steam generator inlet temperature. Uncertainties of the plant physical parameters and operating conditions were also incorporated in these transients. Eight training functions were adopted during the training stage to develop the most efficient network. The developed ANN model predictions were subsequently tested successfully considering different new transients. Overall, through prompt prediction of NPP behavior under different transients, the study aims at demonstrating the potential of artificial intelligence to empower rapid emergency response planning and risk mitigation strategies.