• Proceedings of the Korean Reliability Society Conference
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• 2001.06a
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• pp.273-275
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• 2001

With the continuous advancement in electronics technology, especially the usage of new materials and the introduction of new and immature manufacturing process, stress and time dependent types of physical, chemical and mechanical imperfections are introduced to the electronic hardware. These types of imperfections are called flaws. A reliability stress screening process(RSS) is a process which involves the application of operational and/or environmental stress to electronic hardware on a 100% basis, for the purpose of precipitating inherent, as well as process-induced, flaws while neither destroying nor degrading in a significant way the hardware being stressed.

• Journal of information and communication convergence engineering
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• v.7 no.2
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• pp.199-202
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• 2009

Adaptive memory management is a serious issue in data stream management. Data stream differ from the traditional stored relational model in several aspect such as the stream arrives online, high volume in size, skewed data distributions. Data skew is a common property of massive data streams. We propose the predicted allocation strategy, which uses predictive processing to cope with time varying data skew. This processing includes memory usage estimation and indexing with timestamp. Our experimental study shows that the predictive strategy reduces both required memory space and latency time for skewed data over varying time.

• 한국정보디스플레이학회:학술대회논문집
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• 2005.07b
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• pp.1584-1587
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• 2005

Although the picture quality of today's displays is very good already, a continuous improvement is desirable as the new larger display sizes increase the visibility of artifacts. A contributing factor for picture quality enhancement through smart video processing and algorithm design is the information gathered from video statistics. Interesting parameters gathered from video statistics are e.g. the image- and display load, the usage of the color gamut, the estimated power consumption and the occurrence of static image parts. Examples of applications that can benefit from video statistics are power calculations, color gamut mapping algorithms, dynamic backlight control for LCD panels and LED backlights for LCD panels.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.17 no.31
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• pp.91-98
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• 1994

Most of machines are physically or chemically degenerated by continuous usage. There- fore, a preventive maintenance is necessary. Producing defects are caused by process shift in mean and variance which are due to three types of degeneration. We develope the function of process variance from the experimental data and determine the optimal tool wear limit and the initial setting position of tool by considering the percent defective cost and the preventive maintenance cost.

• Communications for Statistical Applications and Methods
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• v.12 no.2
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• pp.509-520
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• 2005

Data fusion is defined as the process of combining data and information from different sources for the effectiveness of the usage of useful information contents. In this paper, we propose a data fusion algorithm using k-means clustering method for data enrichment to improve data quality in knowledge discovery in database(KDD) process. An empirical study was conducted to compare the proposed data fusion technique with the existing techniques and shows that the newly proposed clustering data fusion technique has low MSE in continuous fusion variables.

• International Journal of Computer Science & Network Security
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• v.24 no.1
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• pp.151-155
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• 2024

This project is designed with the aim to facilitate the farmer or gardener to engage in green house systems and to improve agricultural technology. In order to reduce continuous monitoring of the soil parameters, excess time consumption for the farmers and excessive usage of water, "Smart irrigation and temperature control for a greenhouse system" has been developed. There are two different ways to irrigate the land namely traditional irrigation methods and modern irrigation methods.

• Neonatal Medicine
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• v.18 no.2
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• pp.293-300
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• 2011

Purpose: The aim of the study was to investigate the change in usage and clinical outcomes of using a humidified high flow nasal cannula (HHFNC) in preterm infants. Methods: A retrospective review of patients with gestational age <32 weeks born at our neonatal intensive care unit from January 2008 to March 2011 was performed. First, data were compared between Era 1 (January 2008 to February 2009) and Era 2 (March 2009 to March 2011) to describe the increased usage of HHFNC. Second, the patients (gestational age 25-30 weeks) were divided into two groups to compare clinical outcomes. nasal continuous positive airway pressure (NCPAP) and HHFNC groups who received either NCPAP or HHFNC as a respiratory support within 14 days of birth. Results: Compared to Era 1, HHFNC usage increased from 10 to 55% in Era 2, whereas NCPAP usage decreased from 40 to 5%. No difference in pulmonary or adverse outcomes including the incidence of reintubation and bronchopulmonary dysplasia (BPD), days on oxygen and a ventilator, and other outcomes was observed between the HHFNC and NCPAP groups. Days to reach full feed (32.2${\pm}$16.7 vs. 24.7${\pm}$10.2, P=0.05) and regain birth weight (20.9${\pm}$16.9 vs. 17.2${\pm}$4.3, P=0.04) decreased in the HHFNC group. Conclusion: HHFNC was feasible and did not differ in respiratory and other outcomes, but days to reach full feed and regain birth weight decreased in the HHFNC, when compared with the NCPAP. An additional prospective multicenter designed study is needed to better define safety and efficacy of HHFNC.

• Journal of Korean Society of Disaster and Security
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• v.13 no.4
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• pp.65-74
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• 2020

Continuous and accurate instrument of river water usage is needed for sustainable river water management. Although the instrument methods applicable to each point of use of river water are different, more precise direct instrument methods are required at the point of major open channel. Users of river water should select appropriate direct instrument methods to measure usage, but there is a lack of standards and verification research. In this study, the H-Q rating curve method, ultrasonic method, and microwave method were applied directly to the test basin in the upper basin of Mangyeong river, and the accuracy of measurement data was evaluated by comparing absolute error between discharge data calculated by instrument method. When comparing the calculated discharge of point units, the ultrasonic method showed the best results of the actual measurement. Through continuous instrument, the sum of the daily and monthly units was compared, and the ultrasonic and microwave methods were shown to be highly accurate. Based on the results of this study, it is hoped that the appropriate direct measurement method can be selected according to the importance of the river water use facility, considering that the ultrasonic method and the microwave method are relatively costly compared to the water level-flow relationship method.

• Journal of Korea Society of Digital Industry and Information Management
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• v.12 no.3
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• pp.205-214
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• 2016

Dramatic transformation in education has taken place and Internet Technologies have played a key role. Especially SNS has been considered as an effective educational tool because of its exceptional features such as discussion on course topics, feedback from peers and group collaboration. The purpose of this paper is to investigate factors affecting the attitude, intention to continuous use of SNS and performance in college education comparing between experienced learner and non-experienced learner. Self-efficacy on media usage, educational expectancy, subjective norm, habit, and enjoyment were identified as affecting factors based on prior researches. The results shows that all factors are significantly related to the learner's attitude on the use of SNS in college education. Experienced learner's attitude on educational use of SNS in college was found to be significantly related to the intention to continuous use and performance. This study can provide a guideline of effective strategy for SNS utilization in college education.

• Journal of Information Technology Services
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• v.11 no.3
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• pp.17-38
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• 2012

Social network service(SNS), provided by social network sites such as Facebook, Twitter and Cyworld is rapidly growing in online business. Furthermore, many companies have growing interests in finding effective ways to use SNSs for their innovations, marketing and advertisement. In fact, firms have recognized the utility value of the SNS for their business. In this aspect, this study attempts to identify key factors influencing the intention to continuous use of SNSs. Based on the UTAUT(the Unified Theory of Acceptance and Usage of Technology)model, this study proposes the research model, including the effects of social network service characteristics(social relationship support, information sharing, image expression) and individual characteristics(self-disclosure, extroversion, familiarity) on performance expectancy as well as the moderating effect of perceived information security among UTAUT variables. The 412T sets of data collected in a survey were tested against the modeling using SEM using SmartPLS. Results indicated that social network service and individual characteristics had significant effect on performance expectancy with exception of self-disclosure. In addition, the moderating effect of perceived information security had significant effect. The results had important implications for firms providing SNSs hoping to develop a successful business model.