• BMB Reports
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• 제52권3호
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• pp.181-189
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• 2019

Cancer remains a life-threatening disease and accounts for the major mortality rates worldwide. The practice of using biomarkers for early detection, staging, and customized therapy may increase cancer patients' survival. Deubiquitinating enzymes (DUBs) are a family of proteases that remove ubiquitin tags from proteins of interest undergoing proteasomal degradation. DUBs play several functional roles other than deubiquitination. One of the important roles of DUBs is regulation of tumor progression. Several reports have suggested that the DUB family members were highly-elevated in various cancer cells and tissues in different stages of cancer. These findings suggest that the DUBs could be used as drug targets in cancer therapeutics. In this review, we recapitulate the role of the DUB family members, including ubiquitin-specific protease, otubain protease, and important candidates from other family members. Our aim was to better understand the connection between DUB expression profiles and cancers to allow researchers to design inhibitors or gene therapies to improve diagnosis and prognosis of cancers.

• 산업경영시스템학회지
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• 제21권45호
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• pp.253-263
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• 1998

This study presents a method of realizing the theoretical results of Demyanov in practice on a computer in order to produce a kind of constructive evidence for his theory and a practical method of getting numerical results for quasi-differentiab1e optimization problems which may arise in industry and science. A practical result for a restricted nondifferentiable optimization problem is experimented with a simle example.

• Journal of Information Science Theory and Practice
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• 제7권3호
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• pp.31-39
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• 2019

Nowadays, recommender systems suggest lists of items to users considering not only accuracy but also diversity and novelty. However, suggesting the most diverse list of items to all users is not always acceptable, since different users prefer and/or tolerate different degree of diversity. Hence suggesting a personalized list with a diversity degree considering each user preference would improve the efficiency of recommender systems. The main contribution and novelty of this study is to tune the diversity degree of the recommendation list based on the users' variety-seeking feature, which ultimately leads to users' satisfaction. The proposed approach considers the similarity of users' desire diversity as a new parameter in addition to the usual similarity of users in the state-of-the-art collaborative filtering algorithm. Experimental results show that the proposed approach improves the personal diversity criterion comparing to the closest method in the literature, without decreasing accuracy.

• 한국실내디자인학회논문집
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• 제21권5호
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• pp.227-236
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• 2012

In order to discuss identity of Interior Design as an academic study, I analyzed educational objectives and curriculums of Interior Design in tertiary educational institutions. To this end, I surveyed 83 colleges and categorized those colleges based on their school system and academic field where the college is included. First, according to the school system I classified them into 2-, 3-, 4-year course. Then, I categorized each of them into subcategories based on their fields; 2 year course into Design field and Construction Engineering field, 3 year course into Construction, Engineering and Design, 4 year course into Design, Life Science, Engineering and Construction. Referring to a Classified table of majors and fields by KIID, I reorganized them into ten big categories: (1)Design Theory (2)Design Technique (3)Interior Composition Elements (4)Basic Practice (5)Advanced Practice (6)Psychology and Behaviour (7)Design Management (8)History of Interior Design (9)Digital Design (10)Communication. The afore-mentioned ten curriculum categories show characteristics formed by composition in each school system. The curriculum categories in school system had differences in composition depending on each field. By examining similarities and differences among them, I concluded attributes of each field. I hope the result of this study can contribute to consistent study to establish and develop the academic identity of Interior Design.

• Biomedical Engineering Letters
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• 제8권4호
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• pp.373-382
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• 2018

Since epileptic seizure is unpredictable and paroxysmal, an automatic system for seizure detecting could be of great significance and assistance to patients and medical staff. In this paper, a novel method is proposed for multichannel patient-specific seizure detection applying the earth mover's distance (EMD) in scalp EEG. Firstly, the wavelet decomposition is executed to the original EEGs with five scales, the scale 3, 4 and 5 are selected and transformed into histograms and afterwards the distances between histograms in pairs are computed applying the earth mover's distance as effective features. Then, the EMD features are sent to the classifier based on the Bayesian linear discriminant analysis (BLDA) for classification, and an efficient postprocessing procedure is applied to improve the detection system precision, finally. To evaluate the performance of the proposed method, the CHB-MIT scalp EEG database with 958 h EEG recordings from 23 epileptic patients is used and a relatively satisfactory detection rate is achieved with the average sensitivity of 95.65% and false detection rate of 0.68/h. The good performance of this algorithm indicates the potential application for seizure monitoring in clinical practice.

• 산업공학
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• 제15권4호
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• pp.426-431
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• 2002

In many cases, the result of a road traffic accident can be described with more than one response variables. Nonetheless, most of the existing road accident data analysis deal with only one response variable and try to explain why it occurs. In this paper, we train association rules for a set of more than two response variables conditional on personal, environmental and vehicular/behavioral aspects of accident. Association rules are derived at 8% support and 70% confidence from the 1996 data of three police stations in Korea. We expect that these rules can contribute to effective safety practice in Korea.

• The Journal of Asian Finance, Economics and Business
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• 제2권2호
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• pp.13-18
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• 2015

In this paper the DRC model is presented for solving multi objective problem. The proposed model is a combination of data envelopment analysis, Cuckoo algorithm and the response surface method. Due to reasons like costs, time and irreversible damages, it is not possible to analyze each and every one of the proposed models in practice, so the simulation is used. Since the number of experiments for simulation process is high then the optimization has gone to practice and directs the simulation process. The response surface method is used as one of the approaches of simulation optimization. Furthermore, data envelopment analysis is used to consider several response surfaces as efficiency response surface. Then this efficiency response surface is solved by Cuckoo algorithms. The main advantage of DRC model is to make one efficiency response surface function instate of multi surface function for every output and also using the advantages of Cuckoo algorithms. In order to demonstrate the effectiveness of the proposed approach, the branches of Refah bank in Mashhad is analyzed and the results are presented.

• 산업경영시스템학회지
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• 제38권1호
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• pp.30-43
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• 2015

The purpose of this study is to figure out current situation of safety education to improve safety awareness and practice in Korean school students. In order to do this, it is necessary to identify the current level of safety awareness and practice with the actual status of accident occurrence. Furthermore it is try to figure out the most influencing factors on the safety education for Korean middle and high school students. The 412 students were taken from a random sample. The samples were one class of 2nd grade students in five different middle schools and four different high schools in Seoul, Korea. The survey was conducted from 29 September 2010 through 15 October 2010. An additional samples for the questionnaires posted in web were collected. The 305 respondents from school students and 80 respondents from web survey were used to analyze for this study out of 800 respondents. SPSS was used to analyze the questionnaires. The overall safety-awareness score was relatively high at 4.56/5 for fire safety and 4.32/5 for traffic safety. Safety awareness was higher for girls than boys and also for high school students than middle school students. Safety education by parents at home gives a good impact on high safety practices. Safety awareness was improved by feeling of necessity for safety training. The safety prevention training provided during the class by teacher and home training by parents improved safety practice. The correct direction of safety education for younger students can be easier in future.

• 한국세라믹학회지
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• 제54권2호
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• pp.86-95
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• 2017

Active search for lead-free piezoceramics over the last decade has harvested a considerable amount of achievements both in theory and in practice. Few would deny that those achievements are highly beneficial, but agree that this quest of developing the lead-free piezoceramics in replace for PZTs is successfully completed. Nevertheless, few would clearly state where this quest should be directed in our next move. A source of this uncertainty may originate from the fact that it is still not clear how good is good enough to beat PZTs. In this short review, we analyzed the existing literature data to clearly locate the current state of the art of lead-free piezoceramics in comparison to PZT-based piezoceramics. Four strategies of a potential importance were suggested and discussed to help researchers plan and design their future research on lead-free piezoceramics with a recently reported exemplary work.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2022년도 춘계학술발표대회
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• pp.322-325
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• 2022

전 세계적으로 코로나바이러스가 유행함에 따라 비대면 활동을 비롯하여 전자 필기 이용 및 상품 소비가 증가하였다. 전자 필기에 대한 수요가 늘어남에 따라 전자 필기 글씨체 교정에 대한 관심 또한 증가하는 추세이다. 본 논문에서는 전자 필기 이미지에서 음절과 음소 영역을 추출하여 글씨를 분석하고, 이를 사용하여 사용자의 손글씨에서 개선점을 찾아낼 수 있는 딥러닝 알고리즘을 제안한다. 제안한 알고리즘을 통해 사용자가 원하는 전자 필기 글씨체를 효과적으로 습득할 수 있도록 사용자 글씨에 대해 구체적인 피드백을 제공하는 딥러닝 기반 태블릿 PC 용 한글 전자 필기 연습 및 분석 앱에 대한 연구를 소개하였다.