• Title/Summary/Keyword: grading system

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Development Needs and Direction of an Ecological Grading System of Korean Tidal Flats (한국 갯벌 생태 등급도의 개발 필요성과 방향)

  • Yoo, Jae-Won;Lee, Chang-Gun;Kho, Byung-Seol;Lee, Si-Wan;Han, Dong-Uk;Choi, Keun-Hyung;Kim, Chang-Soo;Hong, Jae-Sang
    • Ocean and Polar Research
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    • v.32 no.2
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    • pp.137-144
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    • 2010

  • There is a host of habitat assessment systems available to evaluate and grade tidal flat ecosystems in Korea. Nevertheless, we recognize the need to develop a better ecological scheme to improve reliability and accuracy given the importance of using an empirical approach in assigning grades to indicators and the limitation of current systems which evaluate tidal flats on a regional basis. A preferable system would be one that enables habitat mapping within a tidal flat, provides a diagnosis of ecological stress/health, has a high level of ecological relevance, communicability, and statistical robustness, and enables evaluation of diverse habitats within a tidal flat. The following points should be considered in framing such a system. Indicators should discriminate habitat quality into five to seven grades accomodating diverse characteristics and conservation value of a habitat, and the grading should be made from frequency distribution of indicators based on nationwide data.We suggest the following tasks in crafting such a system: i) The decision on selection of indicators should be made based on accuracy of assessment and practical application; ii) effects of physical habitat conditions on variability of indicators should be reflected; and, iii) further works on stress/health indicators should be addressed for adopting a multiple-indicator approach which reduces misdiagnosis.

  • https://doi.org/10.4217/OPR.2010.32.2.137 인용 PDF KSCI

Grading System of Movie Review through the Use of An Appraisal Dictionary and Computation of Semantic Segments (감정어휘 평가사전과 의미마디 연산을 이용한 영화평 등급화 시스템)

  • Ko, Min-Su;Shin, Hyo-Pil
    • Korean Journal of Cognitive Science
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    • v.21 no.4
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    • pp.669-696
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    • 2010

  • Assuming that the whole meaning of a document is a composition of the meanings of each part, this paper proposes to study the automatic grading of movie reviews which contain sentimental expressions. This will be accomplished by calculating the values of semantic segments and performing data classification for each review. The ARSSA(The Automatic Rating System for Sentiment analysis using an Appraisal dictionary) system is an effort to model decision making processes in a manner similar to that of the human mind. This aims to resolve the discontinuity between the numerical ranking and textual rationalization present in the binary structure of the current review rating system: {rate: review}. This model can be realized by performing analysis on the abstract menas extracted from each review. The performance of this system was experimentally calculated by performing a 10-fold Cross-Validation test of 1000 reviews obtained from the Naver Movie site. The system achieved an 85% F1 Score when compared to predefined values using a predefined appraisal dictionary.

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Development of On-line Grading Algorithm of Green Pepper Using Machine Vision (기계시각에 의한 풋고추 온라인 등급판정 알고리즘 개발)

  • Cho, N. H.;Lee, S. H.;Hwang, H.;Lee, Y. H.;Choi, S. M.;Park, J. R.;Cho, K. H.
    • Journal of Biosystems Engineering
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    • v.26 no.6
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    • pp.571-578
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    • 2001

  • Production of green pepper has increased for ten years in Korea, as customer's preference of a pepper tuned to fiesta one. This study was conducted to develop an on-line fading algorithm of green pepper using machine vision and aimed to develop the automatic on-line grading and sorting system. The machine vision system was composed of a professive scan R7B CCD camera, a frame grabber and sets of 3-wave fluorescent lamps. The length and curvature, which were main quality factors of a green pepper were measured while removing the stem region. The first derivative of the thickness profile was used to remove the stem area of the segmented image of the pepper. A new boundary was generated after the stem was removed and a baseline of a pepper which was used for the curvature determination was also generated. The developed algorithm showed that the accuracy of the size measurement was 86.6% and the accuracy of the bent was 91.9%. Processing time spent far grading was around 0.17 sec per pepper.

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