• Title/Summary/Keyword: Selection process

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The Valuation of Art in the Online Art Market: Based on the Experience of the Selected Korean Artists on Saatchi Art (온라인 미술시장에서 신진 미술가 작품의 가치화과정에 관한 연구 - 사치아트(Saatchi Art) 선정 국내작가 경험을 중심으로 -)

  • Lee, Jin Woo
    • Korean Association of Arts Management
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    • no.56
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    • pp.189-215
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    • 2020
  • This study aims to understand the process of valuing contemporary artworks by young and emerging artists via online art platforms. This paper conceptualizes Bourdieu's theory of cultural capital, which theoretically guides us for conducting a case study of Saatchi Art. This article mainly collected data by interviewing seven Korean artists who were selected by our case with the supplement information carried out direct observation and document reviews. By analyzing the gathered data, the key finding of this research is that the selection of artists in Saatchi Art's curatorial program implicitly admits and guarantees the value of their artworks. By doing so, it contributes to building symbolic capital for the selected artists. This article also contends that such construction of the artists' symbolic capital results from the accumulated symbolic capitals of the founder and curator of the online platform. The theoretical contribution of this paper is to expand previous research on valuing artworks in the offline art world into the online one.

Development of Creativity-based Creative and Convergence Subject for Nursing University Students (간호대학생을 위한 창의성기반 창의융합교과목 개발)

  • Choi, Mi-Jung;Jin, Sang-Woo
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.3
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    • pp.83-91
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    • 2020
  • The purpose of this study is to develop creativity-based creative convergence subjects for nursing students. For the purpose of this study, the procedures are conducted that the needs analysis, setting educational goals, segmentation of educational goals, selection of educational contents and organization by F. Bobbitt's curriculum development model and the creative convergence subject was developed through the verification process of the validity of experts. Through a theoretical review, the contents of education in creative convergence subjects consisted of converging with other areas, focusing on creativity. It was presented as a liberal arts subject with two credits, and as an educational method, an online class utilizing blended learning and offline classes centered on activities by teams were presented. In addition, the curriculum was divided into understanding, application, synthesis, and deepening so that students could understand the concept of creative convergence thinking and apply it through thinking techniques and strategies, and finally improve their creative convergence thinking abilities through team projects.

A 3-SAT Polynomial Time Algorithm Based on Minimum Frequency Literal-First Selection Method (최소 빈도수 문자 우선 선택 방법의 3-SAT 다항시간 알고리즘)

  • Sang-Un, Lee
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.1
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    • pp.157-162
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    • 2023
  • To NP-complete 3-SAT problem, this paper proposes a O(nm) polynomial time algorithm, where n is the number of literals and m is the total frequency of all literals in equation f. The algorithm firstly decides a truth value of a literal in sequence of previously-set priority. The priority order is as follows: a literal whose occurrence in a clause is 1(k=1), a literal which is k≥2 and whose truth value is either 0 or 1, and a literal with the minimum frequency. Then, literals whose truth value is determined are then deleted from clause T and the remaining clauses. This process is repeated l times, the number of literals. As a result, the proposed algorithm has been successful in accurately determining the satisfiability of a given equation f and in deciding the truth value of all the literals. This paper, therefore, provides not only a linear-time algorithm as a viable solution to the SAT problem, but also a basis for solving the P versus NP problem.

A Review of the Types and Characteristics of Healthy Life Expectancy and Methodological Issues

  • Kim, Young-Eun;Jung, Yoon-Sun;Ock, Minsu;Yoon, Seok-Jun
    • Journal of Preventive Medicine and Public Health
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    • v.55 no.1
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    • pp.1-9
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    • 2022
  • An index that evaluates the health level of a population group considering both death and loss of function due to disease is called a summary measure of population health (SMPH). SMPHs are broadly divided into life year indices and life expectancy indices, the latter of which comprise healthy life expectancy (HLE). HLE is included as a policy target in various national and regional level healthcare plans, and the term "HLE" is commonly used in academia and by the public. However, the overall level of understanding of HLE-such as the precise definition of HLE and methods of calculating HLE-still seems to be low. As discussed in this study, the types of HLE are classified into disability-free life expectancy, disease-free life expectancy, quality-adjusted life expectancy, self-rated HLE, and disability-adjusted life expectancy. Their characteristics are examined to facilitate a correct understanding and appropriate utilization of HLE. In addition, the Sullivan method, as a representative method for calculating HLE, is presented in detail, and major issues in the process of calculating HLE, such as selection of the population group and age group, estimation of death probability, calculation of life years, and incorporation of health weights, are reviewed. This study will help researchers to select an appropriate HLE type and evaluate the validity of HLE research results, and it is expected to contribute to the vitalization of HLE research.

Selection of Effective Herbal Medicines for Parkinson's Disease Based on the Text Mining of the Classical Korean Medical Literature Donguibogam

  • Bae, Hyo Won;Lee, Tae Wook;Choi, Byung Tae;Shin, Hwa Kyoung;Yun, Young Ju
    • The Journal of Korean Medicine
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    • v.42 no.4
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    • pp.120-132
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    • 2021
  • Objectives: The prevalence of Parkinson's disease is on an upward trend along with an increase in the aging population but there is no available treatment that halts the progression of neurodegeneration. This study reports a numerical analysis on Donguibogam and suggests novel herbal drugs, which have never been researched before but found to be deemed effective in this study. Methods: Referring to 71 Korean medicine symptom terms that represent the symptoms of Parkinson's disease, 4170 prescriptions described in Donguibogam were classified into two groups based on whether their main effects were effective for Parkinson's disease or not. Comparing the two groups, the chi-square test was performed to select statistically significant herbs, while the t-test, Wilcoxon test, and descriptive statistics were performed to determine the appropriate dose. Results: One hundred and twenty-seven prescriptions effective for Parkinson's disease were identified. The chi-square test determined 17 herbs that are effective for symptomatic treatment. Among the medicinal herbs, the authors suggest Osterici seu Notopterygii Radix et Rhizoma, Ephedrae Herba, Aconiti Tuber, Myrrha, Sinomeni Caulis et Rhizoma, and Aconiti Kusnezoffii Tuber as herbal candidates that have never been studied for Parkinson's disease. Through the statistical tests, it was judged that the mean value of the dose of the entire prescription was the appropriate dose for each herb. Conclusions: Seventeen herbs were selected for Parkinson's disease and the appropriate daily dose were calculated. Furthermore, this study presented a new process that applies a statistical method to traditional medical literature and preselecting herbs deemed effective for specific diseases.

Classifying the severity of pedestrian accidents using ensemble machine learning algorithms: A case study of Daejeon City (앙상블 학습기법을 활용한 보행자 교통사고 심각도 분류: 대전시 사례를 중심으로)

  • Kang, Heungsik;Noh, Myounggyu
    • Journal of Digital Convergence
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    • v.20 no.5
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    • pp.39-46
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    • 2022
  • As the link between traffic accidents and social and economic losses has been confirmed, there is a growing interest in developing safety policies based on crash data and a need for countermeasures to reduce severe crash outcomes such as severe injuries and fatalities. In this study, we select Daejeon city where the relative proportion of fatal crashes is high, as a case study region and focus on the severity of pedestrian crashes. After a series of data manipulation process, we run machine learning algorithms for the optimal model selection and variable identification. Of nine algorithms applied, AdaBoost and Random Forest (ensemble based ones) outperform others in terms of performance metrics. Based on the results, we identify major influential factors (i.e., the age of pedestrian as 70s or 20s, pedestrian crossing) on pedestrian crashes in Daejeon, and suggest them as measures for reducing severe outcomes.

Design and Implementation of Voice-based Interactive Service KIOSK (음성기반 대화형 서비스 키오스크 설계 및 구현)

  • Kim, Sang-woo;Choi, Dae-june;Song, Yun-Mi;Moon, Il-Young
    • Journal of Practical Engineering Education
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    • v.14 no.1
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    • pp.99-108
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    • 2022
  • As the demand for kiosks increases, more users complain of discomfort. Accordingly, a kiosk that enables easy menu selection and order by producing a voice-based interactive service is produced and provided in the form of a web. It implements voice functions based on the Annyang API and SpeechSynthesis API, and understands the user's intention through Dialogflow. And discuss how to implement this process based on Rest API. In addition, the recommendation system is applied based on collaborative filtering to improve the low consumer accessibility of existing kiosks, and to prevent infection caused by droplets during the use of voice recognition services, it provides the ability to check the wearing of masks before using the service.

Characterizations of Commercial Bipolar Membranes for Efficient Electrochemical LiOH Production (효율적인 전기화학적 LiOH 생산을 위한 상용 바이폴라막 특성 분석)

  • Song, Hyeon-Bee;Kang, Moon-Sung
    • Membrane Journal
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    • v.32 no.5
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    • pp.357-365
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    • 2022
  • Recently, as the demand for secondary batteries for electric vehicles has rapidly increased, the efficient production of lithium compounds is attracting great attention. Bipolar membrane electrodialysis (BPED) is known as an eco-friendly, economical, and efficient electrochemical lithium compound production process. Since the efficiency of the BPED depends on the performance of the bipolar membrane (BPM), the selection of the BPM is very important. In this study, the characteristics of BPMs suitable for the BPED for electrochemical LiOH production were derived by comparative analyses of BP-1E (Astom) and FBM (Fumatech), which are the most widely used commercial BPMs in the world. Through systematical evaluation, it was confirmed that reducing membrane ion transfer resistance and co-ion leakage among the characteristics of BPM is the most important, and BP-1E has better performance than FBM in this respect.

Identification of User Preference Factor Using Review Information (리뷰 정보를 활용한 이용자의 선호요인 식별에 관한 연구)

  • Song, Sungjeon;Shim, Jiyoung
    • Journal of the Korean Society for information Management
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    • v.39 no.3
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    • pp.311-336
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    • 2022
  • This study analyzed the contents of Goodreads review data, which is a social cataloging service with the participation of book users around the world, to identify the preference factors that affect book users' book recommendations in the library information service environment. To understand user preferences from a more detailed point of view, sub-datasets for each rating group, each book, and each user were constructed in the sample selection process. Stratified sampling was also performed based on the result of topic modeling of review text data to include various topics. As a result, a total of 90 preference factors belonging to 7 categories('Content', 'Character', 'Writing', 'Reading', 'Author', 'Story', 'Form') were identified. Also, the general preference factors revealed according to the ratings, as well as the patterns of preference factors revealed in books and users with clear likes and dislikes were identified. The results of this study are expected to contribute to more sophisticated recommendations in future recommendation systems by identifying specific aspects of user preference factors.

SAVITZKY-GOLAY DERIVATIVES : A SYSTEMATIC APPROACH TO REMOVING VARIABILITY BEFORE APPLYING CHEMOMETRICS

  • Hopkins, David W.
    • Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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    • 2001.06a
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    • pp.1041-1041
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    • 2001
  • Removal of variability in spectra data before the application of chemometric modeling will generally result in simpler (and presumably more robust) models. Particularly for sparsely sampled data, such as typically encountered in diode array instruments, the use of Savitzky-Golay (S-G) derivatives offers an effective method to remove effects of shifting baselines and sloping or curving apparent baselines often observed with scattering samples. The application of these convolution functions is equivalent to fitting a selected polynomial to a number of points in the spectrum, usually 5 to 25 points. The value of the polynomial evaluated at its mid-point, or its derivative, is taken as the (smoothed) spectrum or its derivative at the mid-point of the wavelength window. The process is continued for successive windows along the spectrum. The original paper, published in 1964 [1] presented these convolution functions as integers to be used as multipliers for the spectral values at equal intervals in the window, with a normalization integer to divide the sum of the products, to determine the result for each point. Steinier et al. [2] published corrections to errors in the original presentation [1], and a vector formulation for obtaining the coefficients. The actual selection of the degree of polynomial and number of points in the window determines whether closely situated bands and shoulders are resolved in the derivatives. Furthermore, the actual noise reduction in the derivatives may be estimated from the square root of the sums of the coefficients, divided by the NORM value. A simple technique to evaluate the actual convolution factors employed in the calculation by the software will be presented. It has been found that some software packages do not properly account for the sampling interval of the spectral data (Equation Ⅶ in [1]). While this is not a problem in the construction and implementation of chemometric models, it may be noticed in comparing models at differing spectral resolutions. Also, the effects on parameters of PLS models of choosing various polynomials and numbers of points in the window will be presented.

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