• East Asian mathematical journal
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• v.38 no.3
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• pp.357-363
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• 2022

Immunological imbalance eventually results in the development of various diseases. A typical example is an imbalance of cytokines with immunomodulatory abilities. In this paper, we propose a two-variable delay model to anti-pro-inflammatory cytokine therapy for autoimmune diseases, which are caused by an imbalance between the pro and anti-inflammatory cytokines. The interaction between pro- and anti-inflammatory cytokines were modeled mathematically to investigate the relevance of cytokines in disease processes. The delay time was estimated to maintain the stability of a biologically important steady state. In particular, the effects of delay with anti-pro-inflammatory cytokines therapy in autoinflammatory diseases were studied.

• Geomechanics and Engineering
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• v.36 no.2
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• pp.111-119
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• 2024

In the realm of rock excavation projects, precise estimation of the drilling rate index stands as a pivotal factor in strategic planning and cost assessment. This study introduces and evaluates two pioneering computational intelligence models designed for the prognostication of the drilling rate index, a pivotal parameter with direct implications for cost estimation in rock excavation projects. These models, denoted as the Relevance Vector Regression (RVR) optimized with the Invasive Weed Optimization algorithm (IWO) (RVR-IWO model) and the RVR integrated with the Shuffled Frog Leaping algorithm (SFL) (RVR-SFL model), represent a groundbreaking approach to forecasting drilling rate index. The RVR-IWO and RVR-SFL models were meticulously devised to harness the capabilities of computational intelligence and optimization techniques for drilling rate index estimation. This research pioneers the integration of IWO and SFL with RVR, constituting an unprecedented effort in forecasting drilling rate index. The primary objective of this study was to gauge the precision and dependability of these models in forecasting the drilling rate index, revealing significant distinctions between the two. In terms of predictive precision, the RVR-IWO model emerged as the superior choice when compared to the RVR-SFL model, underscoring the remarkable efficacy of the Invasive Weed Optimization algorithm. The RVR-IWO model delivered noteworthy results, boasting a Variance Account for (VAF) of 0.8406, a Mean Squared Error (MSE) of 0.0114, and a Squared Correlation Coefficient (R²) of 0.9315. On the contrary, the RVR-SFL model exhibited slightly lower precision, yielding an MSE of 0.0160, a VAF of 0.8205, and an R2 of 0.9120. These findings serve to highlight the potential of the RVR-IWO model as a formidable instrument for drilling rate index prediction, particularly within the framework of rock excavation projects. This research not only makes a significant contribution to the realm of drilling engineering but also underscores the broader adaptability of the RVR-IWO model in tackling an array of challenges within the domain of rock engineering. Ultimately, this study advances the comprehension of drilling rate index estimation and imparts valuable insights into the practical implementation of computational intelligence methodologies within the realm of engineering projects.

• Journal of Digital Convergence
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• v.12 no.9
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• pp.75-81
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• 2014

This study is analyzed using the Shanghai stock market and Shenzhen stock market data in order to analyze the usefulness of accounting information to appear from the introduction of international accounting standards in China. Summarized the relevant previous researches for objective study approach, studied the hypothesis based on the empirical analysis and set a hypothesis as adjusting the stuffs to fix in this research model. In this study, Analyzed the hypothesis to input of detailed variables for analyzing the value relevance between periods before fair value and after fair value. Also, in this hypothesis study, analyzed and estimated to affect the quality of information the acceptant period when compare with acceptant periods and before periods of fair value. These results suggested that impact the net asset value per share and earnings per share of the company because the value of the relationship had statistically significant at the level of relevance. Therefore, in the future studies about fair value assessment, will be expected that usefulness of the enterprise value evaluation method enable to discuss it such as critical sucess factors.

• Korea Journal of Hospital Management
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• v.15 no.3
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• pp.123-142
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• 2010

The Government is going to enforce assessment of dental institutions in addition to assessment of medical institutions so that it can provide good-quality medical service to people having much interest in quality of medical service. But the empirical research on the assessment of dental institutions which is still in a model assessment stage, is insufficient. Accordingly, the present research aims to help dental institutions preparing the main assessment by researching an acceptance level of workers of dental institutions in a process performing assessment of dental institutions, based on the preceding researches that the perceived utility has influence on implementation intention. The present research proved the influence that job relevance, result demonstration, usability and education & training of workers and manager's leadership of an infection management part affects perceived utility and implementation intention. As a research result, all the job relevance, result demonstration, usability have a positive(+) influence on perceived utility and implementation intention, and the influence of job relevance most affects especially. The leadership and education & training have influence on what workers get to have implementation intention after perception of utility of infection management according to the order. According to the above results, it can be understood that medical institutions preparing for assessment of dental institutions take charge of the assessment part having high relevance with work of workers and need to make a manager ordering performance of its assessment be able to foster a leadership for improving effectiveness of assessment performance.

• Journal of Korea Technology Innovation Society
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• v.16 no.1
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• pp.303-322
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• 2013

A relevance of supporting business of technology financing for technologically innovative SMEs is strongly required for its continuous expansion and development. This study analyzes empirically whether the selection of recipient firms from technology financing have been performed in accordance with its objectives and purposes. Results show that the probability of receiving technology financing is more likely to increase with higher technology rankings and higher operating income ratio. On the other hand, the probability of obtaining financing might be decreased gradually, as the size of capital and age of the firm are increasing. Results also show that technology rankings and firm's major characteristics are found to affect significantly on the decision-making of technology financing. Several useful comments are suggested to improve the relevance of the technology financing since the correct classification rate, which explains the appropriateness of the model, is not at high level. In addition, technology rankings are not uncorrelated with the amount of financing in regression analysis. These research results will contribute to ensure the appropriateness and credibility of the technology financing decision-making.

• Journal of Korea Society of Industrial Information Systems
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• v.16 no.4
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• pp.139-149
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• 2011

Smartphone is a new information technology that converges PDA into a mobile phone. Based on the Technology Acceptance Model, this study examines factors influencing the intention to use smartphone. Independent variables of this research are composed of the subjective norm, innovativeness, perceived usefulness, perceived ease of use, perceived enjoyment, cost relevance. Questionnaires are collected from 289 students who are using a smartphone. The results are following: first, the subjective norm, innovativeness, perceived usefulness, the perceived enjoyment, and cost relevance have positive effect on the intention to use smartphone, but the perceived ease of use has not. Second, the perceived enjoyment is found to be the strongest predictor of the intention to use.

• Journal of Engineering Education Research
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• v.17 no.4
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• pp.58-61
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• 2014

This paper introduces a tool for effective teaching of introductory computer programming. In order for the class to be effective, we try to attain attention, relevance, confidence, and satisfaction based on Keller's ARCS model. A web-based tool is developed to help both the students and the instructors.

• Journal of Korean Society for Quality Management
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• v.21 no.1
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• pp.55-64
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• 1993

This article is concerned with procedures for detecting one or more outliers or influential observations in a linear regression model. A test procedure, based on recursive residuals is proposed and developed The power of the test procedure to identify one or more outliers is investigated through simulation, and its relevance to the number and configuration of the outlier.

• Journal of Korea Society of Digital Industry and Information Management
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• v.16 no.3
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• pp.25-36
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• 2020

Topics calculated using LDA topic modeling have to be labeled separately. When labeling a topic, we look at the words that represent the topic, and label the topic. Therefore, it is important to first make a good set of words that represent the topic. This paper proposes a method of calculating a set of words representing a topic using TextRank, which extracts the keywords of a document. The proposed method uses Relevance to select words related to the topic with discrimination. It extracts topic keywords using the TextRank algorithm and connects keywords with a high frequency of simultaneous occurrence to express the topic with a higher coverage.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.1302-1306
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• 2004

This paper proposes a model for information filtering (IF) on the Web. The user information need is described into two levels in this model: profiles on category level, and Boolean queries on document level. To efficiently estimate the relevance between the user information need and documents by fuzzy, the user information need is treated as a rough set on the space of documents. The rough set decision theory is used to classify the new documents according to the user information need. In return for this, the new documents are divided into three parts: positive region, boundary region, and negative region. We modified user profile by the user's relevance feedback and discerning words in the documents. In experimental we compared the results of three methods, firstly is to search documents that are not passed the filtering system. Second, search documents that passed the filtering system. Lastly, search documents after modified user profile. The result from using these techniques can obtain higher precision.