• 전자통신동향분석
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• 제32권5호
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• pp.65-73
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• 2017

A holography technique optically reconstructs a three-dimensional object in space to provide a natural sense of depth and volume to the observer, thereby providing an ultimate 3D image capable of solving the problem of "vergence-accommodation conflict" occurring in a conventional stereoscopic imaging system. In this paper, we present a technical framework for measuring the performance and evaluating the quality of a holographic display, which enables a quantitative measurement of the optical and physical properties that affect the performance and quality of a holographic display. In addition, we provide the trend regarding standardization related to holographic display measurements. Although this trend has barely started, research activities related to holographic display measurements and quality evaluations are expected to grow in the near future.

• 대한간호학회지
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• 제34권3호
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• pp.449-457
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• 2004

Purpose: The aim of this study was to analyze economical efficiency of home care service by comparing a cost-utility ratio(CUR) between home care and hospitalization. Method: The analytic framework of this study was constructed in 5 stages: Identifying the analytic perspectives, measurement of costs, measurement of utility, analysis of CUR, and sensitivity test. Data was collected by reviewing medical records, home care service records, medical fee claims, and other related research. Result: The mean of the annual total cost was 23,317,636 Won in home care and 73,739,352 Won in hospital care. QALY was 0.389 in home care and 0.474 in hospital care, so CUR was 299,712,545 QALY in home care and 777,841,266 QALY in hospital care. Conclusion: The findings affirmed that home care had an economical efficiency in the aspect of utility compared to hospitalization. Therefore, the findings of this study can be used to develop a governmental health policy or to expand the home care system. In addition, the cost-utility analysis framework and process of this study will be an example model for cost-utility analysis in nursing research. Therefore, it will be used as a guideline for future research related to cost-utility analysis in nursing.

• 간호행정학회지
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• 제9권1호
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• pp.75-88
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• 2003

Purpose : The Purposes of this study was to develop a learning organization measurement for nurses, and to test the validity and reliability of the measurement. Method : This study was conducted through 3 phases -theoretical framework choice, measurement items selection, and the testing of validity and reliability. In order to test reliability and validity of the measurement, data were collected from the 261 nurses, working in the 1 hospital with more 800 beds. The data obtained were analyzed by SPSS for Window program using percentages, Factor Analysis, Cronbach's alpha coefficients. Result : As a result of the study, 2 scales -Learning Organization Building Scale, and Knowledge Management Process Scale- were developed. Learning Organization Building Scale was consisted of 23 items, 5 factors. 5 factors explained 60.26% of the total variance, and the Cronbach's alpha of this scale was .8807. Knowledge Management Process Scale was consisted of 17 items, 4 factors. 4 factors explained 66.14% of the total variance, and the Cronbach's alpha of this scale was .9147. Conclusion : The Study supports the validity and reliability of the scales. Therefore, these scales can be effectively utilized for many researches about Learning organization of Nurse, and Nursing organization in the Hospital Setting.

• 인터넷정보학회논문지
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• 제13권1호
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• pp.45-55
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• 2012

임상시험 전체 소요시간 및 비용의 절감, 임상 데이터 질의 향상을 위해 임상시험 전자자료의 관리가 점차 중요해지고 있다. 또한 임상시험 전자자료 관리는 전자 임상시험의 안정성 및 질을 위해 규정 가이드라인을 준수하는 것이 결정적으로 필요하다. 본 연구는 전자적 시스템을 활용한 임상시험에 있어 데이터 관리의 성과를 평가하기 위한 프레임웍을 개발하고자 한다. 연구의 목적을 위해 임상시험 프로세스에 근거하여 기반능력, 연구설계, 연구진행 및 연구완료 등 네 개의 주요 메트릭을 구성함으로써 데이터 관리의 수준을 측정할 수 있는 성과척도를 도출한다. 이때 각 성과척도의 도출 기준은 임상시험 자체가 지향하는 데이터의 질 향상, 전자자료 관리 프로세스의 비용과 효율성 및 규정 준수 수준 등 네 가지의 관리적 관심을 기준으로 하며, 각 성과척도 별로 전자자료 관리 프로세스 상 실질적으로 측정 가능한 측정지표를 제시한다. 평가 프레임웍은 네 가지의 주요 측정 메트릭에 근거하여, 세 개의 데이터 영역(연구기관, 모니터링, 데이터관리센터) 별로 구성된다. 본 평가 프레임웍의 개발은 전문가 의견 수렴을 통한 델파이 방법론으로 접근한 탐색적 연구로서 향후 실증적 후속 연구를 과제로 남기고 있다.

• 한국IT서비스학회지
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• 제18권1호
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• pp.91-112
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• 2019

The IoT environment has led to explosive growth of existing enterprise data, and how to utilize such big data is becoming an important issue in the management field. In this paper, major factors affecting the decisions of companies to utilize big data have been studied. And also, the effect of big data utilization on the management quality is studied empirically. During this process, we have studied the difference according to the award of Korean national quality award. As a result of the study, we confirmed that the five factors such as cost from technology, organization and environment perspective, compatibility, company size, chief officer support, and competitor pressure are key factors influencing big data utilization. Also, it was confirmed that the use of big data for management activities has an important influence on the six management quality factors based on MBNQA, and that the management quality level of Korean national quality award companies is relatively high. This paper provides practical implications for companies' use of big data because it demonstrates for the first time that big data utilization has an impact on management quality improvement.

• Journal of Communications and Networks
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• 제15권3호
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• pp.301-311
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• 2013

This paper proposes a policy-based quality of service (QoS) management framework for adaptive routing decisions. We present an approach considering interior gateway protocol (IGP) for path discovery mechanisms and QoS-aware policies for configuring the network elements. The integration of the aforementioned modules into this policy-based network management (PBNM) system is demonstrated by conducting experiments in a real environment, the hellenic public administration network SYZEFXIS. These experiments combine different traffic conditioning mechanisms through event detectors, consider IP service level agreement mechanisms that interoperate with the PBNM system and analyze the enforcement of IGP and QoS policies. Finally, validation and measurement tools are used to prove the efficiency of this framework. It is shown that this architecture offers significantly increased performance and learning capabilities, while the PBNM system achieves adaptive QoS routing through automated configuration considering the avoidance of suboptimal routing issues or under-performance conditions of the network entities.

• 대한간호학회지
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• 제37권3호
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• pp.286-294
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• 2007

Purpose: The aim of this study was to develop a performance measurement scale for nurses in the hospital setting and to test the reliability and validity of the scale. Methods: This study was conducted in three phases including an application of conceptual framework, development of scale items, and test of validity and reliability of the scale. In order to test validity and reliability, data was collected from 1,966 nurses who work in twenty eight hospitals nation-wide. The data was analyzed by the SAS 8.0 program using descriptive statistics, factor analysis, and reliability coefficients. Results: The Performance measurement scale consisted of 4 factors which included competency, attitude, willingness to improve, and application of nursing process, and a total of 17 items. The Four factors explained 63.45% of the total variance, and Cronbach's alpha of the scale was.92. Conclusion: The performance measurement scale developed by this study is a reliable and valid instrument that is utilized effectively to evaluate the performance of hospital nurses. Furthermore, it could be used as a sloping stone to assess educational needs of nurses, develop professionalism among nurses, and improve quality of nursing care in the hospital setting.

• ETRI Journal
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• 제42권5호
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• pp.686-699
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• 2020

In this paper, we propose a supervised-learning-based spatial performance prediction (SLPP) framework for next-generation heterogeneous communication networks (HCNs). Adaptive asset placement, dynamic resource allocation, and load balancing are critical network functions in an HCN to ensure seamless network management and enhance service quality. Although many existing systems use measurement data to react to network performance changes, it is highly beneficial to perform accurate performance prediction for different systems to support various network functions. Recent advancements in complex statistical algorithms and computational efficiency have made machine-learning ubiquitous for accurate data-based prediction. A robust network performance prediction framework for optimizing performance and resource utilization through a linear discriminant analysis-based prediction approach has been proposed in this paper. Comparison results with different machine-learning techniques on real-world data demonstrate that SLPP provides superior accuracy and computational efficiency for both stationary and mobile user conditions.

• 산업경영시스템학회지
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• 제44권3호
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• pp.50-63
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• 2021

There has been a steady rate of accident in Coal Thermal Power Plants which have relatively higher chance of mortality. However, neither the systematic view of safety management nor the methodology such as safety factors or system requirements are yet to be studied in detail. Therefore, this study aims to propose a methodology to preemptively deal with safety issues and to secure fact focused responsibility in safety. It consists of two main parts. First, the Safety Measurement Index(SMI) with total 50 factors is proposed by analyzing the key factors that contribute to safety accidents based on failure mode and effect analysis (FMEA) and quality function deployment (QFD). To analyze the safety requirements, index presented by major countries and organizations are discussed. Second, main features of intelligent CCTV are studied to determine their relative importance for the framework of Smart Safety Management System (SSMS). Main features are discussed with four technological steps. Also, QFD was held to analyze to analyze how key technologies deal with Quality Measurement Index(QMI). The research results of this study reveal that scientific approaches could be utilized in integrating CCTV technologies into a smart safety management system in the era of Industry 4.0. Moreover, this reasearch provides an specific approach or methodology for dealing with safety management in Coal Thermal Power Plant.

• 한국IT서비스학회지
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• 제8권4호
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• pp.17-40
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• 2009

This study is to guide to estimate service quality on ITSM operation based on ITIL(IT Infrastructure Library). ITIL v2 and v3 provide how to integrate framework of IT service and business process. It is widely used as ITSM operation base. As a latest IT trend, ITSM covers Hardware, Software, SaaS, Network, Call center, Helpdesk, ASP portal and IT operation. Servicedesk is selected as target area where valid sampling is addressable and service change is rapid. Traditional Helpdesk was focusing on technical support to solve internal IT issues passively. But it was evolved into Service Desk which focus in process and provide integrated service from customer's business view point preventively and proactively. Accordingly outsourcing types business are normally performed by group of professional capability. Service quality is measured under the SLA(Service Level Agreement). This study utilized SERVQUAL model as service quality measuring tool developed by Parasuraman, Zeitaml and Berry to find critical factors to satisfy customer. And test was processed regarding effectiveness of IT organization and customer view point thru sampling. Though valid parameters can be changed by ITSM areas under the SERVQUAL models, they naturally can be accepted as a index of service quality measurement after sampling test with acceptable significance. And I recommend to follow this study as a preparation before official SLA.