• International Journal of Reliability and Applications
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• v.6 no.2
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• pp.79-85
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• 2005

We show how comparative mean residual life functions (MRL) can be used to give unique insights into strengths of materials data. Recall that Weibull's original reliability function was developed studying and fitting strengths for various materials. This creative comparing of MRL functions approach can be used for regular life data or any time to response data. We apply graphical MRL's to real data from tests of tensile strength of high quality engineered wood.

• Proceedings of the Korea Information Processing Society Conference
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• 2006.05a
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• pp.109-112
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• 2006

최근 대용량 추천시스템에 대한 필요성이 증가하고 있고, 특히 대규모 인터넷 쇼핑몰을 위한 개인화 추천 시스템 구조에 대한 관심이 높아지고 있다. 본 논문에서는 k-means 클러스터링과 순차 패턴 기법을 이용한 인터넷 쇼핑몰 상품 추천 시스템을 설계 및 구현한다. 사용자 정보의 일괄처리와 카테고리의 계층적 특성을 반영하면서 데이터 마이닝 기법을 활용하여 개인화된 추천 엔진을 대형 시스템에서 동작하도록 설계 하였다. 설계 구현한 시스템의 평가를 위해, 대형 쇼핑몰의 데이터를 이용하여 추천 예측 정확율(PRP: Predictive Recommend Precision), 추천 예측 재현율(PRR: Predictive Recommend Recall), 정확도 인수(PF1 : Predictive Factor One-measure)를 구하였다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.15 no.2
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• pp.111-120
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• 2015

Protein named entity identification is one of the most essential and fundamental predecessor for extracting information about protein-protein interactions from biomedical literature. In this paper, we explore the use of abstracts of biomedical literature in MEDLINE for protein name identification and present the results of the conducted experiments. We present a robust and effective approach to classify biomedical named entities into protein and non-protein classes, based on a rich set of features: orthographic, keyword, morphological and newly introduced Protein-Score features. Our procedure shows significant performance in the experiments on GENIA corpus using Random Forest, achieving the highest values of precision 92.7%, recall 91.7%, and F-measure 92.2% for protein identification, while reducing the training and testing time significantly.

• Journal of the Korea Computer Industry Society
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• v.4 no.10
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• pp.587-598
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• 2003

This paper construct two-level word similarity relation matrices about title and to scientific treatise. As guide keyword similarity relation matrices which is constructed to co-occurrence frequency base same time keeps recall rater by query expansion by tolerance relation, it is index structure to improve the precision rate by two-level contents base retrieval. Therefore, draw area knowledge through subject analysis and reasoned user's information request and area knowledge to fuzzy logic base. This research is research to improve vocabulary mismatch problem and information expression having essentially on query.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.31B no.5
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• pp.134-140
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• 1994

In this paper, an algorithm of CBAM(Combination Bidirectional Associative Memory) model proposes, analyzes and tests CBAM model `s performancess by simulating with recalls and recognitions of patterns. In learning-procedure each correlation matrix of training patterns is obtained. As each correlation matrix's some elements correspond to juxtaposition, all correlation matrices are merged into one matrix (Combination Correlation Matrix, CCM). In recall-procedure, CCM is decomposed into a number of correlation matrices by spiliting its elements into the number of elements corresponding to all training patterns. Recalled patterns are obtained by multiplying input pattern with all correlation matrices and selecting a pattern which has the smallest value of energy function. By using a CBAM model, we have some advantages. First, all pattern having less than 20% of noise can be recalled. Second, memory capacity of CBAM model, can be further increased to include English alphabets or patterns. Third, learning time of CBAM model can be reduced greatly because of operation to make CCM.

• Korean Journal of Biological Psychiatry
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• v.13 no.2
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• pp.117-120
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• 2006

Localized amnesia is characterized by a failure to recall events that occurred during a circumscribed period of time. Localized amnesia is the most common type of dissociative amnesia. It is assumed that this is a disorder of memory retrieval. Recent neuroimaing studies reported that posterior cingulate cortex may play a important role in memory(autobiographical) retrieval. The authors reported a case of localized amnesia with mass on left posterior cingulate cortex.

• The Journal of the Korean dental association
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• v.47 no.4
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• pp.184-190
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• 2009

OBJECTIVE The purpose of clinical study was to evaluate the survival of dental implants used in restoring patients with implant supported removable partial dentures (ISRPDs) of different configurations. MATERIALS AND METHODS The sample consisted of 20 consecutively treated partially edentulous patients, who, between 2003 and 2008, had a total of 84implants placed in different arch sites and who were treated with ISRPDs. The mean age was 57 years. Mean follow up time from delivery of ISRPDs was 3 years 2 months (range, 1 to 6 years). Osseointegration failure, postoperative complication of dental prosthesis, and the success rate of ISRPDs were retrospectively evaluated using clinical and radiographic examination. RESULT The overall implant survival rate was 100%. During follow up, the one clasp of removable partial denture was broken in 1 year11 months after prosthesis delivery. All patients were satisfied with their prosthesis. CONCLUSIONS Implant supported removable partial dentures could serve as favorable prognosis. Careful patient selection, with an appropriate maintenance and recall system, is recommended to obtain satisfactory results.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.05a
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• pp.129-133
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• 2003

The work described in this paper deals with the proposed application of an Artificial Neural Network Model for the Advanced Pressurized Water Reactor APR-1400 transient identification. The approach adopted for testing the network take note of the expectation which should be fulfilled by a network for real-time application, like testing with data in on-line mode and use of actual or real-life patterns for training. The recall test performed demonstrates that use of neural network for transient identification is indeed an attractive preposition.

• Journal of Periodontal and Implant Science
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• v.38 no.sup2
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• pp.405-412
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• 2008

Purpose: Pathologic tooth migration (PTM) commonly occurs in the anterior region and is associated with periodontal disease. The treatment of PTM of anterior teeth can be complex and time consuming, and a multidisciplinary approach is often required. Materials and Methods: The patient was a 38-year-old woman with a chief complaint of saving and realigning her elongated maxillary left central incisor. This paper describes the successful combined periodontal regenerative (guided tissue regeneration) and prosthetic treatment and a 2-year follow-up of maxillary central incisor with pathologic tooth migration, deep intrabony defect, and poor prognosis. Results: The right maxillary central incisor was restored by laminate veneer and the left by all-ceramic crown. The patient had no pain and discomfort and was satisfied with the outcomes of her treatment for 2 years. She has maintained her recall program at the Department of Periodontology at 3 months interval. Conclusion: The key step in the successful treatment of PTM in anterior region is to obtain a high level of cooperation from the patient. Maintenance of the treatment result of PTM is dependent on the continuous preservation of periodontal health.

• Journal of the Korean Chemical Society
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• v.62 no.2
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• pp.159-165
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• 2018

For the first time, the spot the differences (STD) game was employed in the teaching of basic organic chemistry course. Three sets of paired pictures associated with selected topics in organic chemistry were presented to the students and they were required to spot the differences between the two pictures. Based on the students' pre and post self-assessment, the STD game resulted in several positive learning outcomes as indicated in the students' reflective writing, including knowledge recall, deeper understanding of a subject, enhanced analytical skill, motivation and fun-filled learning, learning from peers and self-empowerment in learning. The STD game is a desirable teaching and learning tool, as learning in an entertaining and interactive way is highly sought after in today's classroom, especially to novice students. In the future, the STD game can be modified and implemented to cater the needs of different courses and topics.