• Title/Summary/Keyword: Classification of Quality

Search Result 1,582, Processing Time 0.027 seconds

웹기반의 공간데이터 구축공정 관리시스템 개발 (Development of Web-based Process Management System for Spatial Data Construction)

  • 최병길;김성수;조광희
    • 대한공간정보학회지
    • /
    • 제14권3호
    • /
    • pp.63-70
    • /
    • 2006
  • 본 연구의 목적은 웹기반의 공간데이터 구축공정 관리시스템을 개발하는데 있다. 이를 위하여 기본측량 공종을 표준화하고, 품질관리 요소를 정립하였다. 기본측량인 GPS에 의한 기준점 측량, 수준측량, 창공사진촬영, 수치지도제작, 지형도 제작, 수차표고자료 제작, 항공사진 DB 구축, 정사영상지도 제작 공정 및 공종분류체계를 표준화하였다. 또한 기본측량 사업별 성과품 및 품질검사 업무 현황과 성과품 유형별 품질검사 요소 및 데이터 포맷을 분석하였으며, 이를 기반으로 데이터베이스 및 프로세스 설계 단계를 거쳐 공정관리, 품질관리, 메타데이터 관리, 시스템관리로 구성된 웹 기반의 공정관리 시스템을 개발하였다.

  • PDF

ISO/IEC 9126-2 메트릭을 활용한 소프트웨어 정량적 평가 지표 도출 (Quantitative Evaluation Index Derivation of the Software Based on ISO/IEC 9126-2 Metrics)

  • 조성호;장중순
    • 한국신뢰성학회지:신뢰성응용연구
    • /
    • 제16권2호
    • /
    • pp.134-146
    • /
    • 2016
  • Purpose: Many domestic companies have to make out quantitative evaluation table in their proposal when they conduct the software R&D project. However, most of companies have a difficulty to select the evaluation items and criteria, also to derive a quantitative results. Therefore, we propose a method to derive the quantitative evaluation index by utilizing the ISO/IEC 9126-2. Methods: Analyzing ISO/IEC 9126-2, and we classify the quality metrics as high-classification and sub-classification for Web/App software, Embedded software and Installation software. Next, Conduct the metrics selection survey depending on importance and necessity. Then, carry out the case study. Verify the correspondence between evaluation items and criteria from original suggestion of company and from outcome by utilizing the ISO/IEC 9126-2 quality metrics. Results: It is possible to classify into two metrics, one for common software or one another for only special software. Furthermore, there is quality metrics that is more important and more necessary depending upon characteristics of the software. Conclusion: ISO/IEC 9126-2 quality metrics can be used to make an evaluation items and criteria for quantitative evaluation table of software product.

전기비저항과 암반등급의 상관관계에 대한 고찰 (A Study on the Correlation of Resistivity and Rock Quality)

  • 권형석;신중호;황세호;백환조;김기석;김종수
    • 한국지반공학회:학술대회논문집
    • /
    • 한국지반공학회 2001년도 봄 학술발표회 논문집
    • /
    • pp.81-88
    • /
    • 2001
  • Electrical resistivity is one of physical property of the earth and measured by electrical resistivity survey, electrical resistivity logging and laboratory test. Recently, electrical resistivity is widely used in determination of rock quality in road and railway tunnel design. To get more reliable rock quality data from electrical resistivity, it needs a lot of test and study on correlation of resistivity and rock quality. Firstly, we did rock property test in laboratory, such as uniaxial compressive strength(UCS), p wave velocity, Young's modulus and electrical resistivity. We correlate each test results and we found out that electrical resistivity has exponentially related to UCS and P wave velocity and linearly related to Young's modulus. And we accomplished electrical resistivity survey in field site and carried out electrical resistivity logging at in-situ area. Also we peformed rock classification, such as RQD, RMR and Q-system and we correlate electrical resistivity to rock classification results. We found out that electrical resistivity logging data are highly correlate to RQD, Q and RMR. Also we found out that electrical resistivity survey data are lower than electrical resistivity logging data when there are faults or fractures. And it cause electrical resistivity survey data to lowly correlate to RQD, Q and RMR.

  • PDF

No-reference Image Quality Assessment With A Gradient-induced Dictionary

  • Li, Leida;Wu, Dong;Wu, Jinjian;Qian, Jiansheng;Chen, Beijing
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • 제10권1호
    • /
    • pp.288-307
    • /
    • 2016
  • Image distortions are typically characterized by degradations of structures. Dictionaries learned from natural images can capture the underlying structures in images, which are important for image quality assessment (IQA). This paper presents a general-purpose no-reference image quality metric using a GRadient-Induced Dictionary (GRID). A dictionary is first constructed based on gradients of natural images using K-means clustering. Then image features are extracted using the dictionary based on Euclidean-norm coding and max-pooling. A distortion classification model and several distortion-specific quality regression models are trained using the support vector machine (SVM) by combining image features with distortion types and subjective scores, respectively. To evaluate the quality of a test image, the distortion classification model is used to determine the probabilities that the image belongs to different kinds of distortions, while the regression models are used to predict the corresponding distortion-specific quality scores. Finally, an overall quality score is computed as the probability-weighted distortion-specific quality scores. The proposed metric can evaluate image quality accurately and efficiently using a small dictionary. The performance of the proposed method is verified on public image quality databases. Experimental results demonstrate that the proposed metric can generate quality scores highly consistent with human perception, and it outperforms the state-of-the-arts.

Application of Multi-periodic Harmonic Model for Classification of Multi-temporal Satellite Data: MODIS and GOCI Imagery

  • Jung, Myunghee;Lee, Sang-Hoon
    • 대한원격탐사학회지
    • /
    • 제35권4호
    • /
    • pp.573-587
    • /
    • 2019
  • A multi-temporal approach using remotely sensed time series data obtained over multiple years is a very useful method for monitoring land covers and land-cover changes. While spectral-based methods at any particular time limits the application utility due to instability of the quality of data obtained at that time, the approach based on the temporal profile can produce more accurate results since data is analyzed from a long-term perspective rather than on one point in time. In this study, a multi-temporal approach applying a multi-periodic harmonic model is proposed for classification of remotely sensed data. A harmonic model characterizes the seasonal variation of a time series by four parameters: average level, frequency, phase, and amplitude. The availability of high-quality data is very important for multi-temporal analysis.An satellite image usually have many unobserved data and bad-quality data due to the influence of observation environment and sensing system, which impede the analysis and might possibly produce inaccurate results. Harmonic analysis is also very useful for real-time data reconstruction. Multi-periodic harmonic model is applied to the reconstructed data to classify land covers and monitor land-cover change by tracking the temporal profiles. The proposed method is tested with the MODIS and GOCI NDVI time series over the Korean Peninsula for 5 years from 2012 to 2016. The results show that the multi-periodic harmonic model has a great potential for classification of land-cover types and monitoring of land-cover changes through characterizing annual temporal dynamics.

Digital Change Detection by Post-classification Comparison of Multitemporal Remotely-Sensed Data

  • Cho, Seong-Hoon
    • 대한원격탐사학회지
    • /
    • 제16권4호
    • /
    • pp.367-373
    • /
    • 2000
  • Natural and artificial land features are very dynamic, changing somewhat repidly in our lifetime. It is important that such changes are inventoried accurately so that the physical and human processes at work can be more fully understood. Change detection is a technique used to determine the change between two or more time periods of a particular object of study. Change detection is an important process in monitoring and managing natural resources and urban development because it provides quantitative analysis of the spatial distribution in the population of interest. The purpose of this research is to detect environmental changes surrounding an area of Mountain Moscow, Idaho using Landsat Thematic Maper (TM) images of (July 8, 1990 and July 20, 1991). For accurate classification, the Image enhancement process was performed for improving the image quality of each image. A SPOT image (Aug. 14, 1992) was used for image merging in this research. Supervised classification was performed using the maximum likelihood method. Accuracy assessments were done for each classification. Two images were compared on a pixel-by-pixel basis using the post-classification comparison method that is used for detecting the changes of the study area in this research. The 'from-to' change class information can be detected by post classification comparison using this method and we could find which class change to another.

An Integrated Method for Application-level Internet Traffic Classification

  • Choi, Mi-Jung;Park, Jun-Sang;Kim, Myung-Sup
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • 제8권3호
    • /
    • pp.838-856
    • /
    • 2014
  • Enhanced network speed and the appearance of various applications have recently resulted in the rapid increase of Internet users and the explosive growth of network traffic. Under this circumstance, Internet users are eager to receive reliable and Quality of Service (QoS)-guaranteed services. To provide reliable network services, network managers need to perform control measures involving dropping or blocking each traffic type. To manage a traffic type, it is necessary to rapidly measure and correctly analyze Internet traffic as well as classify network traffic according to applications. Such traffic classification result provides basic information for ensuring service-specific QoS. Several traffic classification methodologies have been introduced; however, there has been no favorable method in achieving optimal performance in terms of accuracy, completeness, and applicability in a real network environment. In this paper, we propose a method to classify Internet traffic as the first step to provide stable network services. We integrate the existing methodologies to compensate their weaknesses and to improve the overall accuracy and completeness of the classification. We prioritize the existing methodologies, which complement each other, in our integrated classification system.

대규모 지하통합주차장을 갖는 공동주택 인공식재지반 토양품질 개선방안 (Improvement of Soil Quality for Artificial Planting's Ground with Large Integrated Underground Parking Lot in Apartment Complex)

  • 강명수;이은엽;이정민;김미나
    • 토지주택연구
    • /
    • 제6권1호
    • /
    • pp.31-39
    • /
    • 2015
  • 공동주택 아파트의 조경공간이 변화하고 있다. 지하주차장 조성 면적이 증가하면서 자연지반 면적이 감소되었다. 그 결과 단지 대부분의 조경공간이 인공지반으로 전환되고 있다. 이에 본 연구는 공동주택 식재공간의 현재 토양품질 실태를 분석하여 단지 내 조경공간의 토양품질 관리를 위한 시사점 제시를 목적으로 한다. 이를 위해 토양반입형태가 상이한 3개 사업지구 대상으로 총 17개의 물리성 및 화학성 항목을 조사하여 현 토양품질수준을 진단하였다. 그리고 통계분석(T-test 검증)을 수행하여 지반특성별과 공정주체별 토양 품질의 유의성을 검토하였다. 그 결과, 대규모 지하통합주차장을 갖는 공동주택 단지의 토양수준은 인공토양 식재기준과 비교하여 낮은 것으로 분석되었다. 특히, 가시적 판단이 용이한 물리성은 양호하나 화학성 품질개선이 필요한 것으로 나타났다. 또한 공동주택 지반특성별 토양 품질과 담당공종별 토양 품질의 차이는 없는 것으로 분석되었다(유의수준 5%). 일반적으로 인공지반보다 자연지반의 식재환경이 양호하다는 인식이지만 실제 분석결과 토양품질에 있어서는 자연지반의 토양이 인공지반 토양 품질수준과 동일한 것으로 나타나, 자연지반 토양에 대한 관리기준 도입의 필요성을 제시하였다. 그리고 공종별 담당부서가 상이함에도 불구하고 동일한 수준의 토양이 반입되고 있는 점은 바람직하나 그 토양수준이 상대적으로 낮은 것으로 나타나 품질제고를 위한 관리강화가 필요한 것으로 나타났다.

우리나라 물환경 기준의 개선방향 (Future Direction of Water Quality Standards in Korea)

  • 이재관;조순;정일록;황순진
    • 한국물환경학회지
    • /
    • 제22권5호
    • /
    • pp.737-747
    • /
    • 2006
  • Ministry of Environment (MOE) of Korea has been implementing the water quality management policy to focus on the control of organic matters (BOD and COD) for 28 years since 1978 when the water quality standards had been established. However, the government and the public have begun to recognize the necessity of creating the best water environment for people and aquatic life, and also formulating the various measures of water pollution, Consequently, MOE of Korea is establishing the basic plan of water environment management, with the vision of "Clean Water, Eco River 2015." The major targets of water environment management plan are to maintain ecosystem health and to protect water quality from various hazardous substances in water bodies. In order to achieve the major targets, it is essential to amend the water quality standards, which bring about the systematic management of various pollutants and healthy ecosystem. Introduction of the new techniques of water environment assessment is also prerequisite to maintain sustainable water environment. These can be accomplished under the consideration of following suggestions in environmental quality standards. First, several criteria should be complemented in water quality standards; they include the improvement of the current water quality classification system, the strengthening and supplement of relevant parameters considering human health in the standards, the introduction of biotic indices, and management standards on eutrophication. Secondly, it should be considered to introduce the biological water quality standards using biotic indices and the management standards for sediments. Lastly, it needs to introduce or develop an ecological status classification which could be used in the assessment of the water environment as a whole.

국내 품질경영의 발전단계 분류 : 품질분임조와 6시그마 활동을 중심으로 (A Study on the Classification of Development Stages for Domestic Quality Management : Focus on Quality Circles and 6 Sigma Activities)

  • 김창준;신종일
    • 산학경영연구
    • /
    • 제22권2호
    • /
    • pp.87-109
    • /
    • 2009
  • 본 연구는 국내 기업의 품질경영에서 활용되는 대표적 활동인 품질분임조와 6시그마의 발전단계를 분류하기 위해서 기존연구에 대한 문헌을 고찰한다. 그리고 고찰한 기존연구를 토대로 Van der Wiele(1988)의 fad, fashion, fir 분류체계를 이용해서 현재 국내 품질분임조와 6시그마 활동의 발전단계를 분류해서 현재 위치와 성장 가능성을 파악하고자 한다. 따라서 기존 문헌연구를 통해서 품질경영활동의 발전단계를 연구주제별 분류 및 학문적 관점과 기업적 관점으로 고찰한 결과, 현재 국내 품질분임조활동은 지속적 유행(fashlon) 과 정상적 적합상태(fit)의 중간 단계로 분류해볼 수 있었고 더 이상의 성장이 없는 혼란한 상태라고 볼 수 있었다. 그리고 우리나라의 6시그마 활동은 지속적 유행(fashion) 상태로 분류되었고 앞으로 계속해서 성장 발전해 나아갈 것으로 볼 수 있다.

  • PDF