• 제목/요약/키워드: Real quality

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A Study on the Calculation and Provision of Accruals-Quality by Big Data Real-Time Predictive Analysis Program

  • Shin, YeounOuk
    • International journal of advanced smart convergence
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    • 제8권3호
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    • pp.193-200
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    • 2019
  • Accruals-Quality(AQ) is an important proxy for evaluating the quality of accounting information disclosures. High-quality accounting information will provide high predictability and precision in the disclosure of earnings and will increase the response to stock prices. And high Accruals-Quality, such as mitigating heterogeneity in accounting information interpretation, provides information usefulness in capital markets. The purpose of this study is to suggest how AQ, which represents the quality of accounting information disclosure, is transformed into digitized data in real-time in combination with IT information technology and provided to financial analyst's information environment in real-time. And AQ is a framework for predictive analysis through big data log analysis system. This real-time information from AQ will help financial analysts to increase their activity and reduce information asymmetry. In addition, AQ, which is provided in real time through IT information technology, can be used as an important basis for decision-making by users of capital market information, and is expected to contribute in providing companies with incentives to voluntarily improve the quality of accounting information disclosure.

6 시그마 방법론을 활용한 부동산업 경영혁신: 전략수립과 핵심성공요소 도출을 중심으로 (Management Innovation of Real Estate Business using Six Sigma Methodology: Strategy Planning and Critical Success Factors)

  • 이영석;박성현;조병준
    • 품질경영학회지
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    • 제32권3호
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    • pp.216-233
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    • 2004
  • The real estate management includes not only the brokerage, property management, development, investment and consulting which are related to real estate handling, but also the human resources who deal with the real estate business. The level of management quality of Korean real estate business is rather poor. This paper deals with management innovation of real estate management using Six Sigma methodology The main focus of this Paper is to develop strategy Planning, and is to select critical success factors for each strategy to make an advanced management system for real estate business. This paper is a case study, and the target company for this innovation is ERA-Korea Company. Seven strategies are proposed, and for each strategy several critical success factors are suggested. Through this case study, the authors hope that a management quality model for real estate business is proposed, and an improved management method can be adopted in the other real estate companies.

부동산정보시스템품질이 시스템 활용과 이용자 만족에 미치는 영향 (The Effect of Real Estate Information Systems Quality on System Use and User Satisfaction)

  • 이찬호;문홍국
    • 디지털융복합연구
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    • 제11권11호
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    • pp.243-249
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    • 2013
  • 우리나라의 경우 1990년대부터 부동산정보화를 통한 효율적 거래를 위해 공공 및 민간기관에서 부동산정보 시스템을 구축하여 운영하고 있다. 본 연구는 부동산정보시스템의 품질(시스템품질, 정보품질, 서비스품질)이 사용자의 시스템 활용도와 만족도에 미치는 영향을 실증적으로 분석한다. 분석은 표본대상을 부동산 관련 종사자와 비 종사자로 구분하여 차이분석을 실시하였다. 분석을 위해 설문조사를 실시하고 회귀분석과 t-검정 등 통계적 분석을 실시하였다. 실증 분석결과 시스템품질이 사용자 만족도에 미치는 영향은 부동산 종사자집단이 비 종사자집단보다 더 낮고, 정보품질이 사용자 만족도에 미치는 영향에 대해서는 부동산 종사자 집단이 비 종사자 집단 보다 더 높다는 것으로 분석되었다. 본 분석의 표본 한계점을 극복하기 위해 향후 연구는 좀 더 다양한 집단을 대상으로 분석함으로써 이론의 일반화를 기하면 바람직할 것이다.

Energy Join Quality Aware Real-time Query Scheduling Algorithm for Wireless Sensor Networks

  • Phuong, Luong Thi Thu;Lee, Sung-Young;Lee, Young-Koo
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2011년도 춘계학술발표대회
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    • pp.92-96
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    • 2011
  • Nowadays, the researches study high rate and real-time query applications seem to be real-time query scheduling protocols and energy aware real time query protocols. Also the WSNs should provide the quality of data in real time query applications that is more and more popular for wireless sensor networks (WSNs). Thus we propose the quality of data function to merge into energy efficiency called energy join quality aware realtime query scheduling (EJQRTQ). Our work calculate the energy ratio that considers interference of queries, and then compute the expected quality of query and allocate slots to real-time preemptive query scheduler.

음향방출법(AE)에 의한 기계요소재의 마찰용접 품질 실시간 평가 (REAL-TIME QUALITY EVALUATION OF FRICTION WELDING OF MACHINE COMPONENTS BY ACOUSTIC EMISSION)

  • SAE-KYOO OH
    • 대한용접접합학회:학술대회논문집
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    • 대한용접접합학회 1995년도 특별강연 및 추계학술발표 개요집
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    • pp.3-20
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    • 1995
  • Development of Real-Time Quality Evaluation of Friction Welding by Acousitc Emission : Report 1 ABSTRACT : According as the friction welding has been increasingly applied in manufacturing various machine components because of its significant economic and technical advantages, one of the important concerns is the reliable quality monitoring method for a good weld quality with both joint strength and toughness in the process of its production. However no reliable nondestructive test method is available at present to determine the weld quality particularly in process of production. So this paper presents an experimental examination and quantitative analysis for the real-time evaluation of friction weld quality by acoustic emission, as a new approach which attempts finally to develop an on-line quality monitoring system design for friction welds using AE techniques. As one of the important results, it was confirmed, through this study, that AE techniques can be reliably applied to evaluating the friction weld qualify with 100% joint strength, as the cumulative AE counts occurring during welding period were quantitatively correlated with reliability at 95% confidence level to the joint strength of welds. Real-Time Evaluation of Automatic Production Quality Control for Friction Welding Machine : Report 2 Abstract : Both in-process quality control and high reliability of the weld is one of the major concerns in applying friction welding to the economical and qualified mass-production. No reliable nondestructive monitoring method is available at present to determine the real-time evaluation of automatic production quality control for friction welding machine. This paper, so that, presents the experimental examinations and statistical quantitative analysis of the correlation between the initial cumulative counts of acoustic emission(AE) occurring during plastic deformation period of the welding and the tensile strength of the welded joints as well as the various welding variables, as a new approach which attempts finally to develop an on-line (or real-time) quality monitoring system and a program for the process of real-time friction welding quality evaluation by initial AE cumulative counts. As one of the important results, it was well confirmed that the initial AE cumulative counts were quantitatively and cubically correlated with reliability of 95% confidence level to the joint strength of the welds, bar-to-bar (SCM4 to SUM31, SCM4 to SUM24L) and that an AE technique using initial AE counts can be reliably applied to real-time strength evaluation of the welded joints, and that such a program of the system was well developed resulting in practical possibility of real-time quality control more than 100% joint efficiency showing good weld with no micro-structural defects.

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qPALS: Quality-Aware Synchrony Protocol for Distributed Real-Time Systems

  • Kang, Woochul;Sha, Lui
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제8권10호
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    • pp.3361-3377
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    • 2014
  • Synchronous computing models provided by real-time synchrony protocols, such as TTA [1] and PALS [2], greatly simplify the design, implementation, and verification of real-time distributed systems. However, their application to real systems has been limited since their assumptions on underlying systems are hard to satisfy. In particular, most previous real-time synchrony protocols hypothesize the existence of underlying fault tolerant real-time networks. This, however, might not be true in most soft real-time applications. In this paper, we propose a practical approach to a synchrony protocol, called Quality-Aware PALS (qPALS), which provides the benefits of a synchronous computing model in environments where no fault-tolerant real-time network is available. qPALS supports two flexible global synchronization protocols: one tailored for the performance and the other for the correctness of synchronization. Hence, applications can make a negotiation flexibly between performance and correctness. In qPALS, the Quality-of-Service (QoS) on synchronization and consistency is specified in a probabilistic manner, and the specified QoS is supported under dynamic and unpredictable network environments via a control-theoretic approach. Our simulation results show that qPALS supports highly reliable synchronization for critical events while still supporting the efficiency and performance even when the underlying network is not stable.

실시간 공정 모니터링을 통한 제품 품질 예측 모델 개발 (A Product Quality Prediction Model Using Real-Time Process Monitoring in Manufacturing Supply Chain)

  • 오영광;박해승;유아름;김남훈;김영학;김동철;최진욱;윤성호;양희종
    • 대한산업공학회지
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    • 제39권4호
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    • pp.271-277
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    • 2013
  • In spite of the emphasis on quality control in auto-industry, most of subcontract enterprises still lack a systematic in-process quality monitoring system for predicting the product/part quality for their customers. While their manufacturing processes have been getting automated and computer-controlled ever, there still exist many uncertain parameters and the process controls still rely on empirical works by a few skilled operators and quality experts. In this paper, a real-time product quality monitoring system for auto-manufacturing industry is presented to provide the systematic method of predicting product qualities from real-time production data. The proposed framework consists of a product quality ontology model for complex manufacturing supply chain environments, and a real-time quality prediction tool using support vector machine algorithm that enables the quality monitoring system to classify the product quality patterns from the in-process production data. A door trim production example is illustrated to verify the proposed quality prediction model.

Reduced Reference Quality Metric for Synthesized Virtual Views in 3DTV

  • Le, Thanh Ha;Long, Vuong Tung;Duong, Dinh Trieu;Jung, Seung-Won
    • ETRI Journal
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    • 제38권6호
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    • pp.1114-1123
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    • 2016
  • Multi-view video plus depth (MVD) has been widely used owing to its effectiveness in three-dimensional data representation. Using MVD, color videos with only a limited number of real viewpoints are compressed and transmitted along with captured or estimated depth videos. Because the synthesized views are generated from decoded real views, their original reference views do not exist at either the transmitter or receiver. Therefore, it is challenging to define an efficient metric to evaluate the quality of synthesized images. We propose a novel metric-the reduced-reference quality metric. First, the effects of depth distortion on the quality of synthesized images are analyzed. We then employ the high correlation between the local depth distortions and local color characteristics of the decoded depth and color images, respectively, to achieve an efficient depth quality metric for each real view. Finally, the objective quality metric of the synthesized views is obtained by combining all the depth quality metrics obtained from the decoded real views. The experimental results show that the proposed quality metric correlates very well with full reference image and video quality metrics.

PM2.5 자동측정장비 비교 및 정도관리 방안 (Comparison of the Real-time Measurements for PM2.5 and Quality Control Method)

  • 박미경;박진수;조미라;이용환;김현재;오준;최진수;안준영;홍유덕
    • 한국대기환경학회지
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    • 제33권6호
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    • pp.616-625
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    • 2017
  • Measurements using five real-time particle samplers were compared to measurements using three NRM (National Reference Method system) filter-based samplers(Gravimetric method) at Incheon, Korea, between May and August, 2014. The purpose of this study was to suggest the quality assurance/quality control (QA/QC) method of each instrument for use in a real-time continuous particle sampler to measure the mass of airborne particles with an aerodynamic diameter less than $2.5{\mu}m$ ($PM_{2.5}$). Five real-time particle samplers of BAM1020, FH62C_14, TEOM, PM-711 and SPM-613 were evaluated by comparing its measured 23 hr average $PM_{2.5}$ concentrations with those measured with NRM filter-based samplers simultaneously. The parameters(e.g. Inlet heating condition, Slope factor, Film response, Intercept, Background, Span value) of the real-time samplers were optimized respectively by conducting test performance evaluation during 7 days in field sampling. For example, inlet heating temperature of TEOM sampler controls $35{\sim}40^{\circ}C$ to minimize the fluctuation of the real-time measurement data and background value of BAM1020 is the key factor affecting the accuracy of $PM_{2.5}$ mass concentration. We classified the $PM_{2.5}$ concentration according to relative humidity (80%) to identify water absorbed in aerosols by measuring the ${\beta}$-ray samplers(BAM1020, FH62C_14) and TEOM. ${\beta}$-ray samplers were not strongly affected by relative humidity that the difference of the average $PM_{2.5}$ concentration was about 5%. On the other hand, The TEOM sampler overestimated $PM_{2.5}$ mass concentration about 15% at low relative humidity (<80%).

A Study on the Measurement of Voluntary Disclosure Quality Using Real-Time Disclosure By Programming Technology

  • Shin, YeounOuk;Kim, KiBum
    • International journal of advanced smart convergence
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    • 제7권2호
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    • pp.86-94
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    • 2018
  • This study focuses on presenting the IT program module provided by real - time forecasting and database of the voluntary disclosure quality measure in order to solve the problem of capital cost due to information asymmetry of external investors and corporate executives. This study suggests a model of the algorithm that the quality of real - time voluntary disclosure can be provided to all investors immediately by IT program in order to deliver the meaningful value in the domestic capital market. This is a method of generating and analyzing real-time or non-real-time prediction models by transferring the predicted estimates delivered to the Big Data Log Analysis System through the statistical DB to the statistical forecasting engine.