• Title/Summary/Keyword: item classification framework

Search Result 6, Processing Time 0.026 seconds

A Standardized BIM Framework for Supporting Life-cycle Business Process for Port & Harbour Facilities (항만시설의 생애주기 업무 지원을 위한 BIM 표준 프레임워크 구축)

  • Moon, Hyoun-Seok;Won, Ji-Sun;Shin, Jae-Young
    • Journal of KIBIM
    • /
    • v.8 no.4
    • /
    • pp.49-59
    • /
    • 2018
  • Recently, the application of BIM for port & harbour facilities has been increasing, as it is widely applied to the infrastructure field both at domestic and abroad. However, the port and harbour projects still have very poor facilities information management system and the application level of BIM is very low compared to other facilities. Even if BIM is applied for those project, it is very difficult to determine in advance what information is needed without an accurate understanding of the business process. The purpose of this study is to develop a BIM framework for port & harbour facilities and to examine its applicability. To do this, we structured the classification of the port & harbour facilities and constructed object-based classification system based on ISO12006-3 standard. We also derived the BIM framework requirements from the viewpoint of process, standard, interface, and information, and confirmed the linkage of the BIM object classification system in the framework item. The applicability of the BIM framework for inspection process cases of port & harbour was examined. Accordingly, this study can solve requirement setting method, which is the non - procedural and non - systematic project information, in the BIM application process of the port & harbour project with the BIM framework. In addition, the framework is expected to be integrated into the system to play a key role in the selection of project objectives, and the ability to clearly identify the information requirements required by the BIM manager to perform the project.

Analysis of Korea Earth Science Olympiad Items for the Enhancement of Item Quality (한국 지구과학 올림피아드 문항 분석을 통한 문항의 질 향상 방안)

  • Lee Ki-Young;Kim Chan-Jong
    • Journal of the Korean earth science society
    • /
    • v.26 no.6
    • /
    • pp.511-523
    • /
    • 2005
  • The purpose of this study is to analyze the 1st and 2nd Korea Earth Science Olympiad (KESO) items, in order to find informations to enhance item quality. To do this, internal and external item classification frameworks are developed. Item difficulty (P), discrimination index (DI), correlation, and reliability are estimated by using classical test theory. Generalizability is also estimated by applying the generalizability theory. The results of item classification are as follows: (1) ‘Geology’, ‘astronomy’ and ‘data analysis and interpretation’ are dominant in content and inquiry process domain, respectively. Nearly every item has textbook context. (2) There is no difference between the preliminary and final tests in terms of their thinking skills sections. (3) As a whole, the ratio of items with pictures is high in item representation. However, multiple-choice and short answer items are more common in preliminary competition, and essay type items are found more often in final competition. The ratio of simple items is high in middle school section and preliminary competition, but composite items are dominant in high school section and final competition. The findings of item analysis are as follows: (1) In the middle school section, P is low and DI is moderate. But in the high school section, there is a considerable differences between science high schools and other high schools in general. (2) The highest correlation is reported between the scores of meteorology domain and total score in middle school, whereas in high school astronomy domain and total score show the highest correlation. (3) General high school section show the highest Cronbach $\alpha$ and generalizability. (4) General high school section show acceptable generalizability coefficient (> 0.80), but middle and science high school section should increase the number of items to reach acceptable generalizability level.

An Improvement of Accuracy for NaiveBayes by Using Large Word Sets (빈발단어집합을 이용한 NaiveBayes의 정확도 개선)

  • Lee Jae-Moon
    • Journal of Internet Computing and Services
    • /
    • v.7 no.3
    • /
    • pp.169-178
    • /
    • 2006
  • In this paper, we define the large word sets which are noble variations the large item sets in mining association rules, and improve the accuracy for NaiveBayes based on the defined large word sets. In order to use them, a document is divided into the several paragraphs, and then each paragraph can be transformed as the transaction by extracting words in it. The proposed method was implemented by using Al:Categorizer framework and its accuracies were measured by the experiments for reuter-21578 data set. The results of the experiments show that the proposed method improves the accuracy of the conventional NaiveBayes.

  • PDF

A Study on Criteria for Classifying Fashion Brands from the Viewpoint of Consumer (소비자관점의 패션브랜드 분류 기준에 관한 연구)

  • Park, Song-Ae
    • Journal of the Korea Fashion and Costume Design Association
    • /
    • v.11 no.3
    • /
    • pp.87-99
    • /
    • 2009
  • The purpose of this study was to find out criteria for classifying fashion brand from the consumer point of view. This was compared with the viewpoint of fashion business practice in order to develop strategy of fashion brands and to manage brand effectively and systematically, and to suggest theoretical frame for application of these criteria. This study was researched as the succeeding study of a model of criteria for classifying fashion brands from the viewpoint of fashion business practice. Survey was used as a research method. The subjects were 422 women who were 20-30 years old and living in and near Seoul. Questionnaires were developed based on 37 fashion brands' classification criteria by means of pre-survey, and SPSS package and LISREL program were used to analyze the data. As a result of factor analysis considering 37 classification criteria, 8 factors were identified as classification criteria. They were as follows; the level of brand form, the level of product concept, the level of management item, the level of brand sales ability, the level of customer management, the level of brand advertising and awareness, the level of brand value, and the level of product lead ability. All of criteria were correlated to each other. The effective method to classify fashion brands was proposed by establishing the model of the relationship of the values of 7 criteria and by proving it with the structure equation model analysis. The model of criteria for classifying fashion brands that was suggested on this study was proved by the structure equation model analysis. In this study, from a consumer's point of view we suggested a theoretical framework describing which criteria would be selected to classify and utilize fashion brand market. This model can be used to select the most efficient classification criteria and classify them hierarchically instead of selecting only one among some factors that complex and interactional and classifying.

  • PDF

An ICF-Core Sets for Children and Youth With Cerebral Palsy Based Approach From a Physical Therapist Perspective: A Single Case Study (물리치료사의 관점에서 뇌성마비 아동과 청소년을 위한 ICF-Core Set을 기반으로 한 접근법의 효과: 단일 사례 연구)

  • Kim, Jeong-hui;Kim, Tae-ho
    • Physical Therapy Korea
    • /
    • v.23 no.1
    • /
    • pp.55-64
    • /
    • 2016
  • Background: The International Classification of Functioning, Disability, and Health-core set (ICF-core set) for children and youth (CY) with cerebral palsy (CP) provides a useful conceptual framework and a guide for health care planning and measuring the changes brought by interventions across a multitude of dimensions from body functions to personal activities, social participation, and environmental factors for them. Objects: This single case study was reported to illustrate the use of a goal directed approach in applying the ICF-core set for CY with CP from a physical therapist perspective. Methods: An eleven year old boy with spastic CP, Gross Motor Function Classification System (GMFCS) level V, and his mother participated in an evaluation of his functioning state. The intervention goal was set through an interview using the ICF-core set, Canadian Occupational Performance Measure (COPM) and Goal Attainment Scale (GAS). Physical therapy was carried out on an outpatient basis using a goal directed approach for 30 min, 1 time/week during 12 weeks and the boy's gross motor function was assessed using the Gross Motor Function Measure (GMFM)-66 version (item set 2) before and after the intervention. Results: As measured by the boy's mother, the COPM score showed a meaningful clinical change (performance=mean 3.5, satisfaction=mean 2.5) and the T-score of GAS changed 34.4 after the goal directed approach. The GMFM-66 (item set 2) score changed from 31.8 to 38.7 and evaluation using the ICF-core set displayed improvement in 6 items of activity level between before and after the intervention. Conclusion: The ICF-core set for CY with CP is useful for understanding the overall functioning of CY with this condition and provides an opportunity to share and integrate information and opinions from different disciplines. We consider it as a useful tool in the universal language for the therapy and education of CY with CP.

Analysis of Mathematical Problem Based on Mathematical Problem Solving Competency (수학적 문제해결역량을 위한 평가 문항의 조건과 그 실제)

  • Lee, Seon Yeong;Lee, Ji Soo;Han, Sunyoung
    • The Mathematical Education
    • /
    • v.57 no.2
    • /
    • pp.111-136
    • /
    • 2018
  • This study suggests a framework for analyzing items based on the characteristics, and shows the relationship among the characteristics, difficulty, percentage of correct answers, academic achievement and the actual mathematical problem solving competency. Three mathematics educators' classification of 30 items of Mathematics 'Ga' type, on 2017 College Scholastic Ability Test, and the responses given by 148 high school students on the survey examining mathematical problem solving competency were statistically analyzed. The results show that there are only few items satisfying the characteristics for mathematical problem solving competency, and students feel ill-defined and non-routine items difficult, but in actual percentage of correct answers, routineness alone has an effect. For the items satisfying the characteristics, low-achieving group has difficulty in understanding problem, and low and intermediate-achieving group have difficulty in mathematical modelling. The findings can suggest criteria for mathematics teachers to use when developing mathematics questions evaluating problem solving competency.