• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.1
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• pp.566-576
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• 2018

As the weapon systems of the Korean Army possess massive firepower and multiple functions, the improvement of their quality through reliability prediction is becoming increasingly important. Currently, the reliability prediction of the weapon systems of the Korean Army is a difficult process, because it is conducted by naively calculating the reliability of their constituent parts. Recently, as various studies using accumulated data are undertaken across various industries, the defense industry is also attempting to analyze the Dark Data which have been accumulated but not yet used. Therefore, it is necessary to apply Post-Logistics Support (PLS) data in order to improve the reliability of the weapon systems and, for this purpose, the Korean Army needs to conduct diverse studies. Especially, the PLS data in the defense industry is very useful for reliability prediction, because the data on the defects reported after the development of the weapon systems are accumulated in this phase. This study examines the existing reliability prediction method conducted using the component parts and proposes a new reliability prediction method using PLS data. This framework can ultimately contribute to improve the prediction accuracy and quality of the weapon systems.

• Journal of the Korean Society for information Management
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• v.25 no.1
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• pp.211-233
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• 2008

This study examines various weighting methods for improving the performance of automatic classification based on Rocchio algorithm on two collections(LISA, Reuters-21578). First, three factors for weighting are identified as document factor, document factor, category factor for each weighting schemes, the performance of each was investigated. Second, the performance of combined weighting methods between the single schemes were examined. As a result, for the single schemes based on each factor, category-factor-based schemes showed the best performance, document set-factor-based schemes the second, and document-factor-based schemes the worst. For the combined weighting schemes, the schemes(idf*cat) which combine document set factor with category factor show better performance than the combined schemes(tf*cat or ltf*cat) which combine document factor with category factor as well as the common schemes (tfidf or ltfidf) that combining document factor with document set factor. However, according to the results of comparing the single weighting schemes with combined weighting schemes in the view of the collections, while category-factor-based schemes(cat only) perform best on LISA, the combined schemes(idf*cat) which combine document set factor with category factor showed best performance on the Reuters-21578. Therefore for the practical application of the weighting methods, it needs careful consideration of the categories in a collection for automatic classification.

• Journal of the Korean Society for information Management
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• v.26 no.2
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• pp.83-103
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• 2009

The Computer Interchange of Museum Information (CIMI), operating from 1990-2003, was charged with creating and introducing the international museum community to the concept of adopting metadata industry standards. The CIMI consortium exceeded its original mission by; creating a standards framework, profile, testbeds, important metadata publications, free downloadable metadata software and protocols, and providing instrumental guidance and support in development of new projects. However, CIMI's emphasis on the importance and utility of a standards-based approach and the necessity for implementing the CIMI Standards Framework is probably its most important achievement. During CIMI's tenure, museums reaped the benefits by learning how to apply the model and standards to meet their individual needs while not having to invent new ones or bear the cost of software development. Although CIMI operations ceased in 2003, its impacts on museum related metadata application and research were unprecedented in that it provided the standards prototype and foundations on which to build. This paper discusses what CIMI bequeathed to the next generation of museum metadata field developers and describes the anticipated realm of future projects and advancement.

• The Journal of the Korea Contents Association
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• v.14 no.12
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• pp.935-949
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• 2014

Today, companies are facing business environments that are changing rapidly compared to the business environments of the past. These rapid changes can be observed in areas such as technology and market structure. To compete in rapidly changing business environments, companies are consistently releasing new innovative products to meet consumers' satisfaction. However, compared to the products that have already been successful in the past, innovative products have higher uncertainty in terms of meeting consumer's technical and emotional needs. Therefore, marketers of the companies put lots of efforts to reduce the risks of new innovative products' failure. In this study, we conducted 2(process simulation / outcome simulation) ${\times}2$ (hedonic / utilitarian) experiment to analyze the effect of mental simulation and product type on innovative new product evaluation. The results of this study are following. In process simulation, evaluation of utilitarian innovative new product was higher, but hedonic innovation showed higher evaluation in the outcome simulation. Based on research result, we recommend proper application of mental simulation.

• Journal of Korea Multimedia Society
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• v.10 no.11
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• pp.1460-1471
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• 2007

A 3-Dimensional engine in a mobile embedded device is divided into a C-based OpenGL/ES and a Java-based JSR184 which interprets and executes a byte code in a real-time. In these two standards, the JSR184 supporting Java objects uses more processor resources than an OpenGL/ES and thus has a constraint when it is used in an embedded device with a limited computing power. On the other hand, 3-Dimensional contents employed in existing personal computer are created by utilizing advantages of Java and secured numerous users in European market, due to the good quality in contents and extensive service in a commercial network, GSM. Because of the reason, a mobile embedded device used in a GSM network needs a JSR184 which can provide an existing Java-based 3-Dimensional contents without extra conversion processes, but the current version of Java-based 3-Dimensional engine has drawbacks in application to commercial products because it requires more computing power than the mobile embedded device. This paper proposes a binding technique with the advantages of Java objects to improve a processing speed of 3-Dimensional contents in limited resources of a mobile embedded device. The technique supports a JSR184 standard interface in the upper layer to utilize 3-Dimensional contents using Java, employs a different code-conversion language, KNI(Kilo Native Interface), in the middle layer to interface between OpenGL/ES and JSR184, and embodies an OpenGL/ES standard in the lower layer. The validity of the binding technique is demonstrated through a simulator and a FPGA embedding an ARM.

• Journal of Distribution Science
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• v.10 no.10
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• pp.45-57
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• 2012

Purpose - This study was conducted to evaluate service quality, perceived value, and satisfaction in the performing arts in order to establish a system of relationships that predicts repurchase intention, which increasingly needs to be studied as the domestic performing arts market grows. Research design, data, and methodology - Another purpose of this study is to identify 'work-related factors' and 'performing-arts-related factors' in the performing arts industry, and to observe the influence of the core SQ factors expected to influence audiences' purchase intentions through perceived value and customer satisfaction. The empirical study to test the hypothesis was based on a review of the literature and employed the survey method; data were collected from a total of 500 audience members. Results - The major results of the analysis are as follows. First, in terms of quality factors affecting perceived value, literary quality, level, professionalism, and musical quality were shown to have a significant influence as key factors from the performing arts perspective, while reliability, convenience, and related costs were indicated to exert a significant influence as additional factors related to work. Secondly, the quality factors with a significant influence on customer satisfaction were literary quality, professionalism, and musical quality, which were shown to have a significant influence from the performing arts perspective, while only reliability was indicated to exert a significant influence on work-related factors. Third, perceived value was shown to have a strong positive (+) influence on customer satisfaction, with both perceived value and customer satisfaction exerting a significant influence on the revisit intention. Finally, according to the results a difference analysis with demographic variables, viewing variables as moderating variables, differences according to gender were indicated in the influence of literary value and lel on perceived value, and in the influence of convenience and professionalism on customer satisfaction as well. Also, in terms of the influence of perceived value on customer satisfaction, males were found to be more influenced than females. Conclusions - Based on the above results, the suggested implications of the present study are as follows. First, through the consideration of not only the crucial work perspective in performing arts services, which has been inadequate in the past, but the additional performance-related level, the previously unevenly distributed viewpoints were expanded for application. Second, in verifying the relationship between expanded quality factors and the factors that determine consumer behavior while simultaneously considering key factors and additional related factors, work-related service quality factors were shown to exert a stronger influence on perceived value and customer satisfaction than performance-related factors. Third, for service factors related to performance, the reliability factor exerts an influence on perceived value and customer satisfaction, requiring that a performance planner secure and manage diverse channels to immediately support customer requests in providing performance theater services.

• Journal of Intelligence and Information Systems
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• v.10 no.1
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• pp.109-123
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• 2004

Corporate financial distress and bankruptcy prediction is one of the major application areas of artificial neural networks (ANNs) in finance and management. ANNs have showed high prediction performance in this area, but sometimes are confronted with inconsistent and unpredictable performance for noisy data. In addition, it may not be possible to train ANN or the training task cannot be effectively carried out without data reduction when the amount of data is so large because training the large data set needs much processing time and additional costs of collecting data. Instance selection is one of popular methods for dimensionality reduction and is directly related to data reduction. Although some researchers have addressed the need for instance selection in instance-based learning algorithms, there is little research on instance selection for ANN. This study proposes a genetic algorithm (GA) approach to instance selection in ANN for bankruptcy prediction. In this study, we use ANN supported by the GA to optimize the connection weights between layers and select relevant instances. It is expected that the globally evolved weights mitigate the well-known limitations of gradient descent algorithm of backpropagation algorithm. In addition, genetically selected instances will shorten the learning time and enhance prediction performance. This study will compare the proposed model with other major data mining techniques. Experimental results show that the GA approach is a promising method for instance selection in ANN.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2000.10a
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• pp.284-287
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• 2000

Recently, developing medical devices have a tendency becoming the module for satisfying user's mutual complex needs. Because the most effective method for the observation of patients condition a diagnosis and a treatment is collecting data from various devices and controling operation following it. Module tendency is more popular due to manage easily totally many individual systems. This study implemented communication protocol to control by one control system connecting modular medical devices. Implemented system consist of one master module controlling all module and managing communication and many Slave modules. Communication between each modules introduced SPI(Serial Peripheral Interface) among many synchronous serial communication methods for the exact transmission and receipt of data. All communication executes by packet format. This can detect error. And, this protocol introduced PNP(Plug And Play) function that auto-detect connecting or removing module during running. This protocol exactly transmitted and received in faster speed more than 1Mbps. And in practical application to the ventilator this confirmed to give and take real-time data. And various functions by th central control system is implemented in this protocol.

• Journal of Navigation and Port Research
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• v.36 no.6
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• pp.475-480
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• 2012

In order to establish eLoran (enhanced Long Range Navigation) system, it needs the advancement of receiver, transmitter, data channel addition for Loran information, differential Loran sites for compensating Loran-c signal and ASFs (Additional Secondary Factors) database, etc. In addition, the precise synchronization of transmitting station to the UTC (Coordinated Universal Time) is essential if Loran delivers the high absolute accuracy of navigation demanded for maritime harbor entrance. For better timing synchronization to the UTC among transmitting stations, it is necessary to measure and monitor the transmission delay of the station, and the correction information of the transmitting station should be provided to the user's receivers. In this paper we presented the measurement method of absolute delay of Pohang Loran transmitting station and developed a time delay measurement system and a phase monitoring system for Loran station. We achieved -2.23 us as a result of the absolute phase delay of Pohang station and the drift of Loran pulse of the station was measured about 0.3 us for a month period. Therefore it is necessary to measure the delay offset of transmitting station and to compensate the drift of the Loran signal for the high accuracy application of PNT (Positioning, Navigation and Timing).

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.11
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• pp.248-255
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• 2016

The amount and diversity of information is increasing, as is the information integration connecting data among the related institutions. In the defense field, DTAQ, which is in charge of the quality of military supplies, is attempting to collect and analyze the information which is related with it. In addition, the object of information integration is to expand civil data as well as defense data. There are many ways to integrate data in various environments. In the defense field, which needs enhanced security, it is necessary to establish and apply the information integration methods which are enhanced with more security. In this study, the framework and architecture of information integration was designed by considering task requirements and security conditions. As a result of example application of this framework for information systems to the selected 4 institutions, it was confirmed that the task can be performed through data connections. From the study result, integration architecture which can be applied securely in defense field was suggested. The data accumulated by using this framework with strengthened security are expected to be utilized for the quality improvement of military supplies.