• International conference on construction engineering and project management
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• 2011.02a
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• pp.46-51
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• 2011

High-rise buildings are widely being constructed in the Middle-East, South-East, and East Asia. These buildings are usually willing to stand for the landmark of the region and, therefore, exhibit some extraordinary features such as super-tall height, elevation set-backs, overhangs, or free-form exterior surface, all of which makes the construction difficult, complex, and even unsafe at some construction stages. In addition to the elaborately planned construction sequence, prediction and monitoring of building's movement during construction and after completion are required for precise and safe construction. This is often called the Building Movement Control during construction. This study describes Building Movement Control of the KLCC Tower, a 58-story office building currently being built right next to the famous PETRONAS Twin Towers. The main items of the Building Movement Control for the KLCC Tower are axial shortening and verticality. Preliminary prediction of these items are already carried out by the structural design team but more accurate prediction based on construction stage analysis and combined with time-dependent material testing, field monitoring, and site survey is done by the main contractor. As of September 2010, the Tower is under construction at level 30, where the plan abruptly changes from rectangle to triangle. Findings and troubleshooting until the current construction stage are explained in detail and implementations are suggested for future applications.

• Asia-Pacific Journal of Business
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• v.14 no.3
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• pp.45-66
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• 2023

Purpose - This paper examines whether overnight returns and idiosyncratic volatility (IVOL) jointly affects the cross-section of expected stock returns in the Korean stock market. Design/methodology/approach - Constructing 5×5 bivariate monthly portfolios independently sorted on overnight returns and IVOL, this paper tests whether overpricing of stocks with high overnight returns is more pronounced for the stocks that also have high IVOL. In addition, we also investigate whether time-variation in the degree of overpricing for those stocks can be explained by market volatility. Findings - Our results show that stocks having both high overnight returns and high IVOL exhibit strong negative returns in the future. In contrast, we are unable to observe such negative returns for the stocks that have high overnight returns and low IVOL. This suggests that overpricing of stocks with high overnight returns is concentrated for the stocks having high IVOL. Moreover, we also find that the degree to which such stocks are overpriced is negatively related to market volatility. Research implications or Originality - his paper is the first attempt to explore whether degree of overpricing of stocks having high overnight returns is related to IVOL. We also discover time-varying property of overpricing is jointly driven by overnight returns and IVOL. Our results indicate that IVOL might help explain other previously documented stock return anomalies, suggesting interesting topics for future research.

• ETRI Journal
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• v.46 no.3
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• pp.550-563
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• 2024

A novel inductance simulation circuit employing only two dual-output voltage-differencing buffered amplifiers (DO-VDBAs) and a single capacitance (grounded) is proposed in this paper. The reported configuration is a purely resistor-less realization that provides electronically controllable realized inductance through biasing quantities of DO-VDBAs and does not rely on any constraints related to matched values of parameters. This structure exhibits excellent behavior under the influence of tracking errors in DO-VDBAs and does not exhibit instability at high frequencies. The simple and compact metal-oxide semiconductor (MOS) implementation of the DO-VDBAs (eight MOS per DO-VDBA) and adoption of grounded capacitance make the proposed circuit suitable for on-chip realization from the perspective of chip area consumption. The function of the pure grounded inductance is validated through high pass/bandpass filtering applications. To test the proposed design, simulations were performed in the PSPICE environment. Experimental validation was also conducted using the integrated circuit CA3080 and operational amplifier LF-356.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.297-306
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• 2024

At a specific juncture in industrial development, animation emerges as a product imbued with discernible features characteristic of the mechanical replication era. Through the integration of technology, it continually gives rise to postmodern cultural traits. Notably, the trajectories of postmodernism in China and Western Europe exhibit divergence. Following the reform and opening up, both postmodernism and modernism found acceptance and became interwoven. Chinese animated films, influenced by postmodernism, actively challenge traditional animation norms, exemplifying postmodern characteristics such as deconstruction, intertextuality, indeterminacy, collage, and diversity. This article endeavors to delve into the discourse surrounding postmodernism in both Western and Chinese contexts. It aims to scrutinize the manifestation of postmodern features, particularly with regard to ethnic elements, traditional mythological texts, and gender representations in Chinese animated films. Consequently, it becomes imperative to contemplate the affirmative adaptation and independent development of postmodernism within the unique Chinese milieu. Building upon an analysis of noteworthy traditional animated film genres and developmental trends in China, this study focuses on animated films from the 21st century, specifically Monkey King: Hero is Back, Big Fish & Begonia, Dahufa, White Snake and Nezha: Birth of the Demon Child. The paper seeks to explore the overarching characteristics of postmodernity reflected in the linguistic environment of postmodernism in China.

• The Journal of Economics, Marketing and Management
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• v.12 no.3
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• pp.13-22
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• 2024

Purpose: While there has been extensive research on discretionary accruals (hereafter, 'DA') and accounting conservatism, interpretations have varied among researchers depending on how discretionary accruals are determined as proxies. This study investigates the relationship between discretionary accruals (DA) and accounting conservatism, focusing on the distinctions between signed DA and absolute DA. Research design, data and methodology: Using financial data from companies listed on the KOSPI and KOSDAQ markets from 2010 to 2020, we employ regression analysis to explore how signed and absolute DA impact accounting conservatism. This approach allows us to parse out the effects of positive versus negative discretionary accruals systematically. Results: Our findings indicate a divergent impact of DA on accounting conservatism. Specifically, in cases of negative DA, an increase in DA corresponds with heightened accounting conservatism. Conversely, when DA is positive, increases in DA do not exhibit a significant relationship with changes in accounting conservatism. These effects suggest that the nature of DA-whether it represents upward or downward earnings adjustments-critically influences its relationship with conservatism. Conclusions: The results elucidate the nuanced role of discretionary accruals in influencing accounting conservatism. The decrease in accounting conservatism associated with absolute increases in DA appears primarily driven by groups with downward earnings adjustments. This suggests that as negative DA diminishes toward zero, accounting conservatism intensifies, whereas positive DA does not have a parallel effect.

• East Asian Journal of Business Economics (EAJBE)
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• v.12 no.2
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• pp.1-7
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• 2024

Purpose: This study delves into the application of the Ohlson 1995 valuation model, particularly addressing the intricacies of the "Other information" variable. Our goal is to pinpoint the most suitable variables for substitution within this category, focusing specifically on the Mongolian Stock Exchange (MSE) context. Research design, data, and methodology: Employing data spanning from 2012 to 2022 from 60 MSE-listed companies, we conduct a comprehensive analysis encompassing both financial and non-financial indicators. Through meticulous examination, we aim to identify which variables effectively substitute for the "Other information" component of the Ohlson model. Results: Our findings reveal significant outcomes. While all financial variables within the model exhibit importance, certain non-financial indicators, notably the company's level and state ownership participation, emerge as particularly influential in determining stock prices on the MSE. Conclusions: This study not only contributes to a deeper understanding of valuation dynamics within the MSE but also provides actionable insights for future research endeavors. By refining key variables within the Ohlson model, this research enhances the accuracy and efficacy of financial analysis practices. Moreover, the implications extend to practitioners, offering valuable insights into the determinants of stock prices in the MSE and guiding strategic decision-making processes.

• Geomechanics and Engineering
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• v.37 no.6
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• pp.539-554
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• 2024

This study explores development of prediction model for seismic site classification through the integration of machine learning techniques with horizontal-to-vertical spectral ratio (HVSR) methodologies. To improve model accuracy, the research employs outlier detection methods and, synthetic minority over-sampling technique (SMOTE) for data balance, and evaluates using seven machine learning models using seismic data from KiK-net. Notably, light gradient boosting method (LGBM), gradient boosting, and decision tree models exhibit improved performance when coupled with SMOTE, while Multiple linear regression (MLR) and Support vector machine (SVM) models show reduced efficacy. Outlier detection techniques significantly enhance accuracy, particularly for LGBM, gradient boosting, and voting boosting. The ensemble of LGBM with the isolation forest and SMOTE achieves the highest accuracy of 0.91, with LGBM and local outlier factor yielding the highest F1-score of 0.79. Consistently outperforming other models, LGBM proves most efficient for seismic site classification when supported by appropriate preprocessing procedures. These findings show the significance of outlier detection and data balancing for precise seismic soil classification prediction, offering insights and highlighting the potential of machine learning in optimizing site classification accuracy.

• Asian Journal of Business Environment
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• v.14 no.2
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• pp.31-40
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• 2024

Purpose: This study aims to explore the factors affecting the willingness to pay for chicken delivery services targeting college students. The results of this study provide insights for improving food delivery market services and developing effective marketing strategies. Research design, data and methodology: A survey employing a questionnaire was administered to students at Chungbuk National University over a 10-day period from May 15 to May 24, 2023. Out of 232 distributed surveys, 218 were considered suitable for analysis. Binomial logistic regression analysis was conducted with the willingness to pay for delivery fees contingent on chicken price, serving as the dependent variable. Results: The main findings are following. First, as the price of chicken increases, the percentage of individuals willing to pay more than 2,000 won for delivery services decreases. Second, regardless of chicken price, males exhibit a lower tendency to bear higher delivery service fees compared to females. Lastly, those who lack awareness of their recent delivery fees or have previously paid charges exceeding 3,000 won demonstrate a greater propensity to pay higher delivery service fees compared to those who have paid fees below 3,000 won. Conclusions: It is essential for chicken sellers to identify key customer segments such as single-person households, and offer pricing and services tailored to their needs and preferences.

• Asia-Pacific Journal of Business
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• v.14 no.4
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• pp.151-161
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• 2023

Purpose - In this study, we examine the factors related to the asset allocation decisions of individual investors who 1) directly invest in stocks or bonds, 2) indirectly invest in various fund products (excluding CMA and MMF), and 3) invest in both products. Design/methodology/approach - We collect a sample of 3,000 individual investors and investigate the factors influencing investment behavior, especially the diversification tendency in asset allocation, with the "Investor Behavior Survey" that is conducted jointly by the Korea Financial Investment Association and the Korea Gallup Research Institute in 2011 and 2012. Findings - Our regression analyses estimate the marginal effects of various factors such as the amount of total financial assets, monthly income, occupation, age, and gender. The results reveal that male investors with manual labor occupations were less inclined to diversify their investments compared to female investors in office jobs. Additionally, higher monthly income is associated with a greater inclination toward diversification. Therefore, if a positive relationship exists between income and educational level, we may suggest that higher educational levels lead to a greater tendency for diversification. Research implications or Originality - Interestingly, investors who engage in direct investments tend to exhibit a weaker diversification tendency as the amount of their direct investment increases. On the other hand, investors who engage in both direct and indirect investments show a weaker diversification tendency as the amount of total financial assets increases. This suggests that the investment style of investors is closely related to their diversification behavior.

• Journal of Distribution Science
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• v.22 no.4
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• pp.91-104
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• 2024

Purpose: The study aims to assess the current status of domestic public food delivery apps and analyze the process through which sellers choose between private delivery apps and public delivery apps. This involves exploring strategiesto achieve the original purpose of public food delivery apps, which is to enhance the small business owners income and promote consumer welfare by preventing the monopoly of private food delivery apps. Research design, data and methodology: the research methodology is based on a model that introduces adjustments for non-economic effects, considering the preferences of multi-homing consumers, to more realistically reflect the benefits of sellers' choices. For data analysis, real business performance data from 'Daeguro', 'Meokkaebi', and 'Somunnan Shop' were used. Results: The study revealed that if the market share of public delivery apps within a specific region increases beyond a certain level, the benefits for small-business sellers also increase. This leads to the strategic advantage of simultaneously using both delivery apps. Furthermore, the results exhibit a tendency similar to real social phenomena. Conclusions: This analysis confirmed the role of public food delivery apps in the domestic delivery app market and presents policy recommendations, including application integration and the implementation of exclusive public interest functions, to effectively fulfill this role.