• The Journal of Industrial Distribution & Business
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• v.10 no.4
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• pp.67-76
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• 2019

Purpose - This study attempted to construct and validate a structural model of the relationship between the quality of medical services, perceived risk, reputation and customer satisfaction, which is the main concept of the relationship between large hospitals as well as small and medium hospitals and medical consumers. Through this verification, the small and medium hospitals are to find the way for wise coping in competitive situation with large hospitals. Research design, data, and methodology - This research developed a hypothesis by constructing a structural equation that reaches the satisfaction and the relationship between reputation of perceived risk and perceived risk of service quality perceptions of customers of small and medium hospitals. Research data were collected through a questionnaire survey of respondents who had medical service experience from small and medium hospital. A total data of 252 respondents were used as the sample for the final analysis and analyzed using SPSS 23.0 and AMOS 23. Results - As a result, the relationship of quality of medical service, reputation, and customer satisfaction among small and medium hospitals was consistent with the results of precedent studies, and the perceived risk has a significant impact on reputation, so the greater the perceived risk, the higher the preference for reputable medical institutions as large hospitals. In addition, it was found that the direct route from perceived risk to customer satisfaction was not significant, and reputation was found to have a full mediating effect on perceived risk and customer satisfaction. Customers who use small and medium hospitals prefer to use reputable medical institutions if their perceived risk is high, which is different from risk perception when specific targets are specified. Conclusions - In terms of the effect from customer satisfaction, not only the path of perceived risk → reputation → customer satisfaction, but also the quality of service quality → reputation → customer satisfaction. These findings suggest that small and medium hospitals are appropriately responding to competition with large hospitals, rather than focusing on the perceived risks and reputation of customers in establishing and utilizing competitive strategies to create new customers and preserve existing customers.

• Journal of Broadcast Engineering
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• v.22 no.6
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• pp.829-849
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• 2017

Due to the large-scale TV display, the convergence of broadcasting and broadband, and the advancement of signal compression and transmission technology, terrestrial digital broadcasting has evolved into UHD broadcasting capable of providing simultaneous broadcasting of fixed UHD and mobile HD. The Korean standard for terrestrial UHDTV broadcasting is based on ATSC 3.0, the broadcasting standard of North America. The terrestrial UHDTV broadcasting standard chose that as a new AV codec standard, HEVC video codec which can compress with higher efficiency compared to AVC, and MPEG-H 3D audio codec for realistic audio. Also, DASH and MMT are adopted as transmission format instead of MPEG-2 TS to support broadband as well as broadcasting network, and in order to provide 4K UHD/mobile HD service simultaneously ROUTE multiplexing technology is applied. In this paper, we propose an audio/video encoder, which is required to provide HDR/WCG supported high quality video service, 10.2 channel/4 object supporting stereo sound service, fixed UHD and mobile HD simultaneous broadcasting service based on ATSC3.0, also we implemented the ATSC 3.0 LDM system for ROUTE/DASH packager, multiplexing system and physical layer transmission/reception, and verified the service ability by applying it to real time broadcast environment.

• The KIPS Transactions:PartC
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• v.17C no.3
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• pp.299-306
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• 2010

IPTV and VoIP services are considered as killer applications over Mobile WiMAX network, which provideshigh mobility and data rate. Among those which affect the quality of voice in those services, the jitter buffer or playout buffer can compensate the poor voice quality caused by the packet drop due to frequent route change or differences among routes between service endpoints. In this paper, we analyze the correlation between the sleep interval length and jitter buffer size in order to guarantee a predefined level of voice quality. For this purpose, we present an end-to-end delay model considering additional delay incurred by the WiMAX PSC-II sleep mode and a VoIP service quality requirement based on the delay constraints. Through extensive simulation experiments, we also show that the increase of jitter buffer size may degrade the voice quality since it can introduce additional packet drop in the jitter buffer under WiMAX power saving mode.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.6
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• pp.203-210
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• 2013

Majority of the wireless ad hoc routing protocols are proposed to find feasible routes without considering the network load, end-to-end link quality and bandwidth requirements of the application. Therefore, protocol may not provide sufficient quality of service (QoS) to a high speed traffic such as multimedia. In this paper, we propose a path-quality and bandwidth-estimation based routing protocol (PBBR) for the high quality multimedia stream that can meet the application's bandwidth requirements and find the best reliable route. The novelty of this protocol is to select a reliable path to respond the application's requirements based on available bandwidth at each intermediate node and end-to-end path loss ratio. Obtained results from the simulation demonstrates that our protocol can achieve sufficient performance in terms of throughput and end-to-end delay.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.3
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• pp.186-197
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• 2023

In this study, we focus on the improvement of data quality transmitted from a weather buoy that guides a route of ships. The buoy has an Internet-of-Thing (IoT) including sensors to collect meteorological data and the buoy's status, and it also has a wireless communication device to send them to the central database in a ground control center and ships nearby. The time interval of data collected by the sensor is irregular, and fault data is often detected. Therefore, this study provides a framework to improve data quality using machine learning models. The normal data pattern is trained by machine learning models, and the trained models detect the fault data from the collected data set of the sensor and adjust them. For determining fault data, interquartile range (IQR) removes the value outside the outlier, and an NGBoost algorithm removes the data above the upper bound and below the lower bound. The removed data is interpolated using NGBoost or long-short term memory (LSTM) algorithm. The performance of the suggested process is evaluated by actual weather buoy data from Korea to improve the quality of 'AIR_TEMPERATURE' data by using other data from the same buoy. The performance of our proposed framework has been validated through computational experiments based on real-world data, confirming its suitability for practical applications in real-world scenarios.

• Journal of the Korean Institute of Rural Architecture
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• v.26 no.2
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• pp.65-72
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• 2024

In order to analyze the impact of fine dust generated from a construction waste intermediate processing site on the surrounding areas, diverse types of samples were collected from inside the site and surrounding areas. The impact analysis results of samples are as follows. (1) Compared to the air quality management standards by the Ministry of Environment, the concentration of fine dust within the site was 30 to 46% for PM10 and 14 to 42% for PM2.5, which was not much different from the general air quality level. (2) It was found that PM10 within the site may have a partial effect on the air quality, but when the blocking facilities in the site, wheel washing facilities at vehicle entry and exit route, and sprinkler during working were maintained, the impact on the nearby area was not high. (3) In the case of PM2.5, its concentration was influenced more by the exhaust fumes from work vehicles than fine dust generated during construction waste processing. Since the PM2.5 concentrations in the site and surrounding area were not much different from the general air quality, there was little correlation with the work impact of construction waste intermediate processing sites. (4) Pb, an indicator of heavy metal components, was within 50ng/m³ in all three sites, which was 10% of the domestic management standard and equivalent to the general air quality level. The complaints from residents in nearby areas were filed using indicators based on visual and experiential information in their daily lives, so even if the survey results of environmental impact by the construction intermediate waste processing site are lower than the standard, nearby residents can feel it better than such numerical information. Therefore, specific activities to reduce find dusts should be continuously continued.

• Proceedings of the Korean Powder Metallurgy Institute Conference
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• 2006.09b
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• pp.729-730
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• 2006

The research involves the development of a powder metallurgical route for producing good quality TiAl targets for making physical vapour deposition (PVD) coatings. Mixtures of elemental titanium and aluminium powders were mechanically milled using a novel discus milling technique under various conditions. Hot isotropic pressing (HIP) was then employed for consolidation of the mechanically alloyed powders. A cathodic arc vapour deposition process was applied to produce a TiAlN coating. Microstructural examination was conducted on the target material and PVD coatings, using X-ray diffractometry (XRD), X-ray photoelectron spectrometry (XPS) and scanning electron microscopy (SEM). It has been found that combining mechanical alloying and HIP enable us to produce fairly good quality of TiAl based target. The PVD coatings obtained from the TiAl target showed very high microhardness values.

• Journal of Korean Public Health Nursing
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• v.16 no.1
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• pp.201-212
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• 2002

This study was designed to identify the risk factors of unplanned readmission in a university hospital. The six-month discharge information from January to June, 2000 in a tertiary university hospital was used as a source of data through the medical record and hospital information system. To increase the effect of comparison. the data were collected by sampling 192 couples (384 patients) of unplanned readmission group through the matching by its disease groups, sex, and age. The accuracy of prediction for unplanned readmission was analyzed by constructing the predicted model of unplanned readmission through the logistic regression. The study results are as follows. The conditional logistic regression analysis was performed with nine variables at the significance level 0.05 through univariate analysis including residence, days after discharge, initial admission route, previous admission, transfer to special care unite, hospital stay days, medical care expenses, special cares, and laboratory and imaging services. As a result, the closer the patients live in Seoul and Gyeong-in area (Odds ratio=2.529, p=0.003), the shorter the days after discharge was (Odds ratio=0.600, p=0.000), and the more frequent admission rate was (Odds ratio=2.317, p=0.004), the more unplanned readmission was resulted. Also, the accuracy of prediction for data classification of this regression model showed $70.3\%$(032+83/306).

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2015.10a
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• pp.43-44
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• 2015

AIS-ASM is a one of the study to provide a variety of maritime safety information as well as ship's position and navigational information that is their own function since 2004. This study aims to reduce the marine officer's workload through automating marine officer's mandatory reporting items using the one of the next maritime digital communication technology (ASM2.0). For this purpose, we designed and experimented of the ASM2.0 protocol through analyzing a domestic regulation about passenger flight and AIS-ASM message.

• Journal of Dental Anesthesia and Pain Medicine
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• v.21 no.5
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• pp.397-411
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• 2021

This systematic review aimed to assess the effect of premedication on postoperative pain after root canal treatment in vital teeth. Five electronic databases were searched for randomized clinical trials, and two independent reviewers selected eligible studies, extracted data, and assessed the quality of studies using the Cochrane Risk of Bias tool. Meta-analysis was conducted using the random-effects model, and the pooled effect estimate of the standardized mean difference (SMD) between premedication and placebo was calculated. Subgroup analysis was conducted based on the class and route of the drug. Studies with a high risk of bias were excluded from the sensitivity analysis. Ten trials satisfied the inclusion criteria, of which eight were included in the meta-analysis. Premedication was more effective in reducing postoperative pain than placebo at 6 hours (SMD = -1.00; 95% confidence interval [CI] = -1.33 to -0.66), 12 hours (SMD = -0.80; 95% CI = -1.05 to -0.56), and 24 hours (SMD = -0.72; 95% CI = -1.02 to -0.43). The results of the sensitivity analysis confirmed the findings of the primary analysis. Based on these results, it can be concluded that premedication is effective in reducing postoperative pain in teeth with irreversible pulpitis. However, additional quality studies are required for further validation.