• Title/Summary/Keyword: quality of information

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A Comparative Study on the Job Satisfaction, Nursing Professionalism and Nursing Work Environment of Nurses in Comprehensive Nursing Care Service Wards and Nurses in General Wards (간호·간병통합서비스병동과 일반병동 간호사의 직무만족, 간호전문직관, 간호근무환경 비교)

  • Shim, Ok-Su;Lee, Hyun-Ju
    • Journal of Convergence for Information Technology
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    • v.7 no.6
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    • pp.25-33
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    • 2017
  • This study was conducted to analyze the Job Satisfaction, Nursing Professionalism, and Nursing Work Environment of Comprehensive Nursing Care Ward nurses and General Ward nurses and provide a convergent basic data. The participants of this study were clinical nurses in the Seoul and Gyeonggi provinces in May 1st.~July 30th., 2016. The data was analysed using SPSS WIN 23.0. When comparing General Ward 100 nurses and Comprehensive Nursing Care Ward 92 nurses, the Nursing Work Environment levels (t=3.027, p=.003) and Job Satisfaction levels (t=2.451, p=.015) were higher in General Wards. Among the General Ward nurses, higher Nursing Professionalism levels had positive correlations to Job Satisfaction levels(r=.605, p<.001). Among the Comprehensive Nursing Care Service Ward nurses, higher Nursing Professionalism levels also had positive correlations to Job Satisfaction levels(r=.642, p<.001). In conclusion, a strategy for the establishment of Nursing Work Environment and Nursing Professionalism is necessary in order to guarantee a higher quality of comprehensive nursing care service.

A Study on the Development of Framework for Enhancing Data Quality in Data Warehouse Environments (데이터 웨어하우스 환경에서 데이터 품질의 향상을 위한 개념적 프레임워크의 개발에 관한 연구)

  • 정경수;김병곤;장상도
    • Proceedings of the Korea Database Society Conference
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    • 1999.10a
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    • pp.191-201
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    • 1999
  • 데이터 웨어하우스와 데이터 품질에 관한 문헌연구를 통하여 데이터 웨어하우스 환경에서 데이터 품질의 향상을 위한 개념적 프레임워크를 개발하고자 하는 것이 본 연구의 목적이다. 데이터 웨어하우스 데이터 품질향상 활동을 지원하는 프레임워크를 개발하는 목적은 (1) 다양한 요구를 가진 사용자들이 웨어하우스 데이터에 접근하기 때문에, 사용자의 요구를 만족시키며 기업의 목적에 적합한 품질향상 활동을 지원하기 위해서이며, 다양한 기업활동을 가장 잘 지원할 수 있는 데이터 품질향상 지침을 관리자에게 제공하기 위해서 이다. (2) 웨어하우스 관리자의 데이터 품질향상 활동을 지원하기 위해서는 품질차원이나 데이터세트 등과같은 품질향상에 필요한 다양한 이슈를 관리자가 인식할 수 있도록 하기 위해서이다. (3) 데이터 웨어하우스 환경에서 데이터 품질 향상에 필요한 체계적이고 포괄적인 안목을 제공하기 위해서이다. 본 연구는 다음과 같은 단계로 수행하게 된다. 첫째, 데이터 웨어하우스의 개념과 데이터 웨어하우스의 구축단계 및 데이터 웨어하우스를 구성하는 프레임워크를 검토한다. 둘째, 데이터 웨어하우스 환경에서의 데이터 품질의 기준과 데이터 품질의 측정 및 데이터 품질의 향상 방안 등을 고찰한다. 셋째, 데이터 웨어하우스 환경에서 데이터 품질의 향상을 위한 개념적 프레임워크를 개발하기 위하여 데이터 웨어하우스 데이터 풀질 향상과 관련된 기업활동, 데이터 세트, 품질의 속성 및 차원 등을 정의한다. 마지막으로 데이터 웨어하우스 환경하에서 데이터 품질을 향상할 수 있는 3차원 구조의 개념적 프레임워크를 제안하며, 나아가 제안한 모형에 대하여 데이터 품질 향상을 위한 프로젝트 활동의 사례를 통하여 모형의 타당성을 개념적으로 설명한다.통하여 각각의 제품을 비교하였으며, 둘째 소프트웨어 종류별 평가로 제품을 응용소프트웨어, 응용개발도구, 시스템 소프트웨어로 분류하여 평균값으로 비교하였다. 셋째, 국내외 제품별 평가분석으로 전체 제품을 국내제품과 국외제품으로 분류하여 비교하였으며, 마지막으로 총괄분석을 통해 가중치를 적용하여 전 제품의 점수를 비교하였다. 여기에서는 각 제품의 평균점수에 대한 차이를 95%의 유의수준으로 T-Test를 실시하였다.uted to the society, and what the socioeconomic impacts are resulted from the program. It would be useful for the means of (ⅰ) fulfillment of public accountability to legitimate the program and to reveal the expenditure of pubic fund, and (ⅱ) managemental and strategical learning to give information necessary to improve the making. program and policy decision making, The objectives of the study are to develop the methodology of modeling the socioeconomic evaluation, and build up the practical socioeconomic evaluation model of the HAN projects including scientific and technological effects. Since the HAN projects cons

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Watermarking Using Multiresolution Wavelet Transform and Image Fusion (다중 해상도 웨이블릿 변환과 영상 융합을 이용한 워터마킹)

  • Kim Dong-Hyun;Jun Kye-Suk;Lee Dae-Young
    • The KIPS Transactions:PartB
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    • v.12B no.7 s.103
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    • pp.729-736
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    • 2005
  • In this paper. the proposed method for the digital watermarking is based on the multiresolution wavelet transform. The 1-level Discrete Wavelet Transform(DWT) coefficients of a $2N_{wx}{\times}2N_{wy}$ binary logo image used as a watermarks. The LL band and middle frequency band of the host image that the 3-level DWT has been performed are divided into $N_{wx}{\times}N_{wy}$ size and we use large coefficients at the divided blocks to make threshold. we set the thresholds that completely insert the watermark in each frequency of the host image. The thresholds in each frequency of the host image differ each other. The watermarks where is the same positions are added to the larger coefficients than threshold in the blocks at LL band and middle frequency band in order to prevent the quality deterioration of the host image. The watermarks are inserted in LL band and middle frequency band of the host image. In order to be invisibility of the watermark, the Human Visual System(HVS) is applied to the watermark. We prove the proper embedding method by experiment. We rapidly detect the watermark using this watermarking method. And because the small size watermarks are inserted by HVS, the results confirm the superiority of the proposed method on invisibility and robustness.

Network-adaptive H.264 Video Streaming over IEEE 802.11e (IEEE 802.11e에서 네트워크 적응적인 H.264 비디오 스트리밍)

  • Lee, Sun-Hun;Chung, Kwang-Sue
    • Journal of Broadcast Engineering
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    • v.13 no.1
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    • pp.6-16
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    • 2008
  • An instable wireless channel condition causes more packet losses and retransmissions due to interference, fading, station mobility, and so on. Therefore video streaming service over a wireless networks is a challenging task because of the changes in the wireless channel conditions and time-constraints characteristics of the video streaming services. To provide efficient video streaming over a wireless networks, QoS-enhanced MAC protocol, IEEE 802.11e, is standardized recently. Tn this paper, we propose a new network-adaptive H.264 video streaming mechanism in the IEEE 802.11e wireless networks. To improve the quality of video streaming services, video stream has to adapt to the changes in the wireless channel conditions. The wireless channel conditions are estimated by the packet loss probability and informed to the application layer by the cross-layering. According to the wireless channel information, the video streaming application filters out the low-priority data. This adaptation mechanism efficiently uses system resources because it drops the low-priority data in advance. Therefore, our cross-layer design can provide improved video streaming services to the end-user. Through the implementation and performance evaluation, we prove that the proposed mechanism improves the QoS of the video streaming by providing the smoothed playback.

Transient Overloads Control Mechanism for Virtual Memory System (가상 메모리 시스템의 일시적인 과부하 완화 기법)

  • Go, Young-Woong;Lee, Jae-Yong;Hong, Cheol-Ho;Yu, Hyukc
    • The KIPS Transactions:PartA
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    • v.8A no.4
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    • pp.319-330
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    • 2001
  • In virtual memory system, when a process attempts to access a page that is not resident in memory, the system generates and handles a page fault that causes unpredictable delay. So virtual memory system is not appropriate for the real-time system, because it can increase the deadline miss ratio of real-time task. In multimedia system, virtual memory system may degrade the QoS(quality of service) of multimedia application. Furthermore, in general-purpose operating system, whenever a new task is dynamically loaded, virtual memory system suffers from extensive page fault that cause transient overloading state. In this paper, we present efficient overloading control mechanism called RBPFH (Rate-Based Page Fault Handling). A significant feature of the RBPFH algorithm is page fault dispersion that keeps page fault ratio from exceeding available bound by monitoring current system resources. Furthermore, whenever the amount of available system resource is changed, the RBPFH algorithm dynamically adjusts the page fault handling rate. The RBPFH algorithm is implemented in the Linux operating system and its performance measured. The results demonstrate RBPFH\`s superior performance in supporting multimedia applications. Experiment result shows that RBPFH could achieve 10%∼20% reduction in deadline miss ratio and 50%∼60% reduction in average delay.

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Earthworm Composition and Seasonal Population Structure in Different Korean Golf Courses (우리나라 골프장의 지렁이 종 다양성 및 계절별 군집 구조)

  • Shin, Chong Chang;Hong, Yong;Lee, Dong Woon
    • Weed & Turfgrass Science
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    • v.5 no.3
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    • pp.155-164
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    • 2016
  • Earworm is very useful animal in soil ecosystem, however it is harmful for golf courses because they introduce many cast on turfgrass that reduces turf uniformity and play quality. However, no information has found on earthworm diversity and seasonal fluctuation in different Korean golf courses. In this study, we focused to carry out earthworm species composition and seasonal population structure in turfgrass of golf courses. During spring and fall season survey with direct digging and tea saponin drenching sampling in 5 different golf courses, 6 species under 3 families of earthworms were collected. Earthworm species composition and density was different among the golf courses. Aporrectodea caliginosa in Lumbricidae was dominant species in Anseong and Dongrae Benest Golf Club; however Amynthas carnosus in Megascolecidae was dominant species in Anyang and Glenrose Golf Club. Ap. caliginosa was collected only aclitellum in July and Am. carnosus was collected aclitellum and clitellum in August in golf courses. Seasonal population of earthworm was different depending on earthworm species (Am. hupeiensis was the highest in August and Ap. caliginosa was in April) however small number of collected earthworm species were not dominant trend in golf courses.

A Study on the Consumption Behavior of Cellular Phone of Middle School Students and Consumer Education by Mothers (어머니에 의한 소비자교육이 중학생의 휴대폰 소비행동에 미치는 영향)

  • Kim, Young-Joo;Choi, Jeong-Hye;Jang, Sang-Ock
    • Journal of Korean Home Economics Education Association
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    • v.20 no.3
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    • pp.163-177
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    • 2008
  • The purpose of this study is to see relationship between middle school students' cellular phone consumption behavior and their mothers' consumer education. A survey was conducted with middle school students at nine middle schools in Gyeongnam who possessed a cellular phone and their mothers(1,080 in total). The results of this study are as follows: First, middle school students' cellular phone consumption behavior was relatively at the average level or higher: they were best at A/S and change and refund and were at the average level in collecting and using information for purchase followed by contract. This consumption behavior was associated with such variables as gender, academic performance, and monthly pocket money. Second, as for consumer education for middle school students' mothers in general, purchase education was most highly recognized, followed by citizenship education and value education. However, value education was relatively weak, which should be reinforced. Mothers' consumer education was associated with children's grade, academic performance and monthly pocket money. Third, since middle school students' desirable cellular phone consumption behavior was strongly associated with their mothers' consumer education, it is highly urgent to improve the quality of consumer education by mothers at home.

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Applying Spitz Trace Interpolation Algorithm for Seismic Data (탄성파 자료를 이용한 Spitz 보간 알고리즘의 적용)

  • Yang Jung Ah;Suh Jung-Hee
    • Geophysics and Geophysical Exploration
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    • v.6 no.4
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    • pp.171-179
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    • 2003
  • In land and marine seismic survey, we generally set receivers with equal interval suppose that sampling interval Is too narrow. But the cost of seismic data acquisition and that of data processing are much higher, therefore we should design proper receiver interval. Spatial aliasing can be occurred on seismic data when sampling interval is too coarse. If we Process spatial aliasing data, we can not obtain a good imaging result. Trace interpolation is used to improve the quality of multichannel seismic data processing. In this study, we applied the Spitz algorithm which is widely used in seismic data processing. This algorithm works well regardless of dip information of the complex underground structure. Using prediction filter and original traces with linear event we interpolated in f-x domain. We confirm our algorithm by examining for some synthetic data and marine data. After interpolation, we could find that receiver intervals get more narrow and the number of receiver is increased. We also could see that continuity of traces is more linear than before Applying this interpolation algorithm on seismic data with spatial aliasing, we may obtain a better migration imaging.

Performance Analysis of Object Detection Neural Network According to Compression Ratio of RGB and IR Images (RGB와 IR 영상의 압축률에 따른 객체 탐지 신경망 성능 분석)

  • Lee, Yegi;Kim, Shin;Lim, Hanshin;Lee, Hee Kyung;Choo, Hyon-Gon;Seo, Jeongil;Yoon, Kyoungro
    • Journal of Broadcast Engineering
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    • v.26 no.2
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    • pp.155-166
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    • 2021
  • Most object detection algorithms are studied based on RGB images. Because the RGB cameras are capturing images based on light, however, the object detection performance is poor when the light condition is not good, e.g., at night or foggy days. On the other hand, high-quality infrared(IR) images regardless of weather condition and light can be acquired because IR images are captured by an IR sensor that makes images with heat information. In this paper, we performed the object detection algorithm based on the compression ratio in RGB and IR images to show the detection capabilities. We selected RGB and IR images that were taken at night from the Free FLIR Thermal dataset for the ADAS(Advanced Driver Assistance Systems) research. We used the pre-trained object detection network for RGB images and a fine-tuned network that is tuned based on night RGB and IR images. Experimental results show that higher object detection performance can be acquired using IR images than using RGB images in both networks.

Technology Trend Analysis in the Automotive Semiconductor Industry using Topic Model and Patent Analysis (토픽모델 및 특허분석을 통한 차량용 반도체 기술 추세 분석)

  • Nam, Daekyeong;Choi, Gyunghyun
    • Journal of Korea Technology Innovation Society
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    • v.21 no.3
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    • pp.1155-1178
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    • 2018
  • Future automobiles are evolving into movable living spaces capable of eco-friendly autonomous driving. The role of electrically processing, controlling, and commanding various information in the vehicle is essential. It is expected that the automotive semiconductor will play a key role in the future automobile such as self-driving and eco-friendly automobile. In order to foster the automotive semiconductor industry, it is necessary to grasp technology trends and to acquire technology and quality that reflects the requirements in advance, thereby achieving technological innovation with industrial competitiveness. However, there is a lack of systematic analysis of technology trends to date. In this study, we analyzed the technology trends of automotive semiconductors using patent analysis and topic model, and confirmed technologies such as electric cars, driving assistance, and digital manufacturing. The technology trends showed that element technology and technical characteristics change according to technology convergence, market needs, and government regulations. Through this research, it is expected that it will help to make R&D policy for automotive semiconductor industry and to make decision for industrial technology strategy establishment. In addition, it is expected that it will be used effectively in detail research direction and patent strategy establishment by providing detailed classification of technology and trend analysis result of technology.