• Journal of the Korean Solar Energy Society
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• v.32 no.5
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• pp.108-117
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• 2012

The purpose of Green Building Certification System is to promote the environment-friendly building construction as the life-cycle environmental performance of a certain building is assessed and certified nationally(domestically). By the way, a building can get the green building certificate just with the minimum standard in prerequisite assessment criteria and with the designated scores in totals. GBCS consists of 9 assessment issues and it has 4 grades. Nevertheless the 1st. grade green building has uneven scores in each issue. In other words, it has even 0 point in a special issue. Due to the above problem, the discrimination and reliability in the GBCS grading and scoring has to be secured. This study aims at a new grading and scoring system equipped with the discrimination and reliability through analysing the scores of prerequisite assessment criteria and the scores by issues in the actually certified green office buildings.

• Journal of Educational Research in Mathematics
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• v.8 no.1
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• pp.217-235
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• 1998

The purpose of this study is to define the altenative assessment and to suggest the method of scoring system. Alternative assessment includes any type of assessment in which student create reponses to a question rather than choosing a responses form given list( as for multiple choice, true/false, or matching). Alternative assessment can includes short answer questions, essay, performances, oral presentation, demonstrations, exhibitions, portfolios, and etc. To evaluate the each type of assessment, we can apply the method of holistic scoring and analytic scoring system. Also we have to concern the type of scoring mechanism directly relate to what we want to assess, our purpose for assessment fitting into the educational enterprise. Before applying the alternative assessment in our classroom, we need to step back and reconsider all our design features and teachers' responsibility.

• 제어로봇시스템학회:학술대회논문집
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• 1989.10a
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• pp.967-971
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• 1989

A new system for automatic scoring of 'organization' of the EEG dominant rhythm was constructed and applied to 18 normal subjects and 15 patients. Organization parameters which best represented the 'organization' as judged by 5 neurologists' visual inspection were calculated and the automatic organization scoring was obtained by a linear regression of those organization parameters. Furthermore, values of the regression coefficients were used to study the characteristics of EEG interpretation by each neurologist, and this scoring technique can also be applied to the training of EEG interpretation.

• Speech Sciences
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• v.11 no.2
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• pp.217-226
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• 2004

An automatic pronunciation correction system provides users with correction guidelines for each pronunciation error. For this purpose, we develop a speech recognition system which automatically classifies pronunciation errors when Koreans speak a foreign language. In this paper, we propose a machine scoring method for automatic assessment of pronunciation quality by the speech recognizer. Scores obtained from an expert human listener are used as the reference to evaluate the different machine scores and to provide targets when training some of algorithms. We use a log-likelihood score and a normalized log-likelihood score as machine scoring methods. Experimental results show that the normalized log-likelihood score had higher correlation with human scores than that obtained using the log-likelihood score.

• The Korean Journal of Cytopathology
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• v.9 no.1
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• pp.45-54
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• 1998

Fine needle aspiration cytology is considered as a useful diagnostic procedure in management of patients with breast lesions. This study was undertaken to evaluate the scoring system of Masood in the interpretation of breast aspirates, to establish the most useful cytologic criteria for the diagnosis of breast lesions, and to subclassify the benign breast diseases. To assess the feasibility of a cytologic grading system, 57 cases of benign breast disease, 61 cases of malignant breast disease were studied, respectively. The aspirates were evaluated for the cellular arrangement, the degree of cellular pleomorphism and anisonucleosis, and the presence of myoepithelial cells and nuceoli. Values ranging from 1 to 4 were assigned to each criterion and the sum of the individual values was made for each case. The presence of stroma, apocrine metaplasia, foamy histiocytes and inflammatory cells, background of the smear, and cellularity were also evaluated. Cut-off value of the scoring system of Masood between benign and malignant lesion was 15. Among the cytologic criteria, cellular arrangement, presence of myoepithelial cells, nucleoli, and stroma, status of chromatin pattern, and background of smear were useful criteria in the differentiation between benign and malignant lesions. Application of the scoring system of Masood does not always make the accurate diagnosis and the subclassification of benign breast disease.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.40 no.5
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• pp.211-219
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• 2014

Objectives: The purpose of this research was to create a scoring system that provides comprehensive assessment of patients with oromaxillofacial cancer or odontogenic infection, and to statistically reevaluate the results in order to provide specific criteria for elective tracheostomy. Materials and Methods: All patients that had oral cancer surgery (group A) or odontogenic infection surgery (group B) during a period of 10 years (2003 to 2013) were subgrouped according to whether or not the patient received a tracheostomy. After a random sampling (group A: total of 56, group B: total of 60), evaulation procedures were observed based on the group classifications. For group A, four factors were evaluated: TNM stage, reconstruction methods, presence of pathologic findings on chest posterior-anterior (PA), and the number of systemic diseases. Scores were given to each item based on the scoring system suggested in this research and the scores were added together. Similarly, the sum score of group B was counted using 5 categories, including infection site, C-reactive protein level on first visit, age, presence of pathologic findings on chest PA, and number of systemic diseases. Results: The scoring system rendered from this research shows that there is a high correlation between the scores and TNM stage in oral cancer patients, or infection sites in odontogenic infection patients. However, no correlation between pathologic findings on chest PA could be found in either group. The results also indicated that for both groups, the hospital day increased with the tracheostomy score. The tracheostomy score cutoff value was 5 in oral cancer patients and 6 in odontogenic infection patients which was used for elective tracheostomy indication. Conclusion: The elective tracheostomy score system suggested by this research is a method that considers both the surgical and general conditions of the patient, and can be very useful for managing patients with severe oral disease.

• Journal of Intelligence and Information Systems
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• v.9 no.2
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• pp.135-154
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• 2003

Credit scoring system (CSS) starts from an analysis of delinquency trend of each individual or industry. This paper conducts a research on credit card delinquency of bank customers as a preliminary step for building effective credit scoring system to prevent excess loan or bad credit status. To serve this purpose, we use association rules as a rule generating data mining technique. Specifically, we generate sets of rules of customers who are in bad credit status because of delinquency by association rule mining. We expect that the sets of rules generated by association rule mining could act as an estimator of good or bad credit status classifier and basic component of early warning system.

• Journal of the Korean Society of Radiology
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• v.85 no.1
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• pp.147-160
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• 2024

Purpose To define an MRI scoring system for differentiating xanthogranulomatous cholecystitis (XGC) from wall-thickening type gallbladder cancer (GBC) and compare the diagnostic performance of the scoring system with the visual assessment of radiologists. Materials and Methods We retrospectively analyzed 23 and 35 patients who underwent abdominal MRI and were pathologically diagnosed with XGC and wall-thickening-type GBC after surgery, respectively. Three radiologists reviewed all MRI findings. We defined a scoring system using these MRI findings for differentiating XGC from wall-thickening type GBC and compared the area under the curve (AUC) of the scoring system with the visual assessment of radiologists. Results Nine MRI findings showed significant differences in differentiating the two diseases: diffuse gallbladder wall thickening (p < 0.001), mucosal uniformity (p = 0.002), intramural T2-high signal intensity (p < 0.001), mucosal retraction (p = 0.016), gallbladder stones (p < 0.001), T1-intermediate to high-signal intensity (p = 0.033), diffusion restriction (p = 0.005), enhancement pattern (p < 0.001), and phase of peak enhancement (p = 0.008). The MRI scoring system showed excellent diagnostic performance with an AUC of 0.972, which was significantly higher than the visual assessment of the reviewers. Conclusion The MRI scoring system showed better diagnostic performance than the visual assessment of radiologists to differentiate XGC from wall-thickening-type GBC.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.128-132
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• 2001

In this paper, we evaluate and contrast four neural network rule extraction approaches for credit scoring. Experiments are carried our on three real life credit scoring data sets. Both the continuous and the discretised versions of all data sets are analysed The rule extraction algorithms, Neurolonear, Neurorule. Trepan and Nefclass, have different characteristics, with respect to their perception of the neural network and their way of representing the generated rules or knowledge. It is shown that Neurolinear, Neurorule and Trepan are able to extract very concise rule sets or trees with a high predictive accuracy when compared to classical decision tree(rule) induction algorithms like C4.5(rules). Especially Neurorule extracted easy to understand and powerful propositional if -then rules for all discretised data sets. Hence, the Neurorule algorithm may offer a viable alternative for rule generation and knowledge discovery in the domain of credit scoring.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.3
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• pp.1643-1647
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• 2013

Background: To identify the risk factors and assess the role of survivin in predicting progessivity precancerous cervical lesions. Materials and Methods: This case-control study was conducted from October 2009 until May 2010. We obtained 74 samples, classified according to the degree of cervical intraepithelial neoplasia (CIN): 19 samples for CIN 1, 18 samples for CIN 2, 18 samples for CIN 3, and 19 samples as controls. Demographic profiles and risk factors assesment, histopathologic examination, HPV DNA tests, immunocytochemistry (ICC) and immunohistochemistry (IHC) staining for survivin expression were performed on all samples. Data was analyzed with bivariate and multivariate analysis. Results: Multivariate analysis revealed significant risk factors for developing precancerous cervical lesions are age <41 years, women with ${\geq}2$ sexual partners, course of education ${\geq}13$ years, use of oral contraceptives, positive high-risk HPV DNA, and high survivin expression by ICC or IHC staining. These factors were fit to a prediction model and we obtained a scoring system to predict the progressivity of CIN lesions. Conclusions: Determination of survivin expression by immunocytochemistry staining, along with other significant risk factors, can be used in a scoring system to predict the progressivity of CIN lesions. Application of this scoring system may be beneficial in determining the action of therapy towards the patient.