• The Journal of Asian Finance, Economics and Business
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• 제8권12호
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• pp.391-397
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• 2021

One of the sustainable development goals is to promote good health and well-being for all people. Child health is a top priority since their health issues can have a detrimental impact on human capital development, which is a critical input for the growth model. This paper applies the health production model to explore the determinants that influence the health of children under the age of five. The results of a survey of 203 households in Ho Chi Minh City, Vietnam, were examined. Child health is measured using anthropometric indicators such as weight-for-age, height-for-age, and weight-for-height (ZWFH). Three separate multinomial logistic models are regressed to examine the drivers of child health as proxied by z-score weight for age, z-score height for age, and z-score weight for height. The significance of input variables relating to a child's attributes, household, and environment was validated by the findings. The inclusion of overweight besides under-nourished indexes is novel because it reflects the current trend of child over-nutrition. The findings of the study highlight the importance of a wide range of initiatives to enhance child health. Moreover, the genetic effect is found to be crowded out by environmental and household factors. The finding verifies that despite their parents' moderate height, the future generation of Vietnamese can achieve the desired height.

• 한국건설관리학회논문집
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• 제24권6호
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• pp.81-90
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• 2023

Climate change has resulted in increased frequency and intensity of heat waves, which poses a significant threat to the health and safety of construction workers, particularly those engaged in labor-intensive and heat-stress vulnerable working environments. To address this challenge, this study aimed to propose an interpretable machine learning approach for forecasting personal heat strain by considering the cumulative effect of heat exposure as a situational variable, which has not been taken into account in the existing approach. As a result, the proposed model, which incorporated the cumulative working time along with environmental and personal variables, was found to have superior forecast performance and explanatory power. Specifically, the proposed Multi-Layer Perceptron (MLP) model achieved a Mean Absolute Error (MAE) of 0.034 (℃) and an R-squared of 99.3% (0.933). Feature importance analysis revealed that the cumulative working time, as a situational variable, had the most significant impact on personal heat strain. These findings highlight the importance of systematic management of personal heat strain at construction sites by comprehensively considering the cumulative working time as a situational variable as well as environmental and personal variables. This study provided a valuable contribution to the construction industry by offering a reliable and accurate heat strain forecasting model, enhancing the health and safety of construction workers.

• 디지털융복합연구
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• 제14권5호
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• pp.137-147
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• 2016

본 논문에서는 학계나 실무에서 주목하는 비즈니스 모델에 관한 두 가지 분석도구를 소개하고, 이를 활용하는 방법에 대해 설명하였다. Osterwalder and Pigneur(2010)가 소개한 '비즈니스 모델 캔버스'는 9개의 구성요소를 갖고 있으며, 한 장에 분석결과를 일목요연하게 정리할 수 있다. Keeley et al.(2013)가 소개한 '10가지 혁신 유형 모델'도 10개의 구성요소를 담고 있으며, 각 요소별로 혁신하는 방법을 제시하였다. 두 기법 모두 가치제안에서 가치창출, 가치전달, 가치확보에 이르기까지 비즈니스 모델이 갖추어야 할 전체 요소를 분석할 수 있다는 장점이 있다. 다만 기존 비즈니스 모델을 혁신할 때, 문제를 해결할 새로운 아이디어를 충분히 제공하지 못하는 단점이 있다. 향후 구성요소별로 다양한 혁신 사례들이 개발되고, 또한 혁신적인 비즈니스 모델의 원형들이 제시된다면, 기업 실무에서 보다 체계적으로 비즈니스 모델 설계나 혁신을 구현할 수 있을 것이다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권2호
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• pp.676-692
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• 2018

Saliency detection in neurobiology is a vehement research during the last few years, several cognitive and interactive systems are designed to simulate saliency model (an attentional mechanism, which focuses on the worthiest part in the image). In this paper, a bottom up saliency detection model is proposed by taking into account the color and luminance frequency features of RGB, CIE $L^*a^*b^*$ color space of the image. We employ low-level features of image and apply band pass filter to estimate and highlight salient region. We compute the likelihood probability by applying Bayesian framework at pixels. Experiments on two publically available datasets (MSRA and SED2) show that our saliency model performs better as compared to the ten state of the art algorithms by achieving higher precision, better recall and F-Measure.

• Asia pacific journal of information systems
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• 제26권1호
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• pp.1-21
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• 2016

Social media is increasingly being used as a source of information during crises, such as natural disasters and civil unrests. However, the quality and truthfulness of user-generated information on social media have been a cause of concern. Many users find distinguishing between true and false information on social media difficult. Basing on the elaboration likelihood model and the motivation, opportunity, and ability framework, this study proposes and empirically tests a model that identifies the information processing routes through which users develop trust, as well as the factors that influence the use of these routes. The findings from a survey of Twitter users seeking information about the Fukushima Daiichi nuclear crisis indicate that individuals evaluate information quality more when the crisis information has strong personal relevance or when individuals have low anxiety about the crisis. By contrast, they rely on majority influence more when the crisis information has less personal relevance or when these individuals have high anxiety about the crisis. Prior knowledge does not have significant moderating effects on the use of information quality and majority influence in forming trust. This study extends the theorization of trust in user-generated information by focusing on the process through which users form trust. The findings also highlight the need to alleviate anxiety and manage non-victims in controlling the spread of false information on social media during crises.

• Steel and Composite Structures
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• 제33권3호
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• pp.357-373
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• 2019

Steel storage racks are slender structures whose overall behavior and the capacity depend largely on the flexural behavior of the base-plate to upright connections and on the behavior of beam-to-column connections. The base-plate upright connection assembly details, anchor bolt position in particular, associated with the high-rise steel storage racks differ from those of normal height steel storage racks. Since flexural behavior of high-rise rack base connection is hitherto unavailable, this investigation experimentally establishes the flexural behavior of base-plate upright connections of high-rise steel storage racks. This investigation used an enhanced test setup and considered nine groups of three identical tests to investigate the influence of factors such as axial load, base plate thickness, anchor bolt size, bracket length, and upright thickness. The test observations show that the base-plate assembly may significantly influence the overall behavior of such connections. A rigid plate analytical model and an elastic plate analytical model for the overall rotations stiffness of base-plate upright connections with concentric anchor bolts were constructed, and were found to give better predictions of the initial stiffness of such connections. Analytical model based parametric studies highlight and quantify the interplay of components and provide a means for efficient maximization of overall rotational stiffness of concentrically anchor bolted high-rise rack base-plate upright connections.

• Molecules and Cells
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• 제45권7호
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• pp.444-453
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• 2022

Multivalent macromolecular interactions underlie dynamic regulation of diverse biological processes in ever-changing cellular states. These interactions often involve binding of multiple proteins to a linear lattice including intrinsically disordered proteins and the chromosomal DNA with many repeating recognition motifs. Quantitative understanding of such multivalent interactions on a linear lattice is crucial for exploring their unique regulatory potentials in the cellular processes. In this review, the distinctive molecular features of the linear lattice system are first discussed with a particular focus on the overlapping nature of potential protein binding sites within a lattice. Then, we introduce two general quantitative frameworks, combinatorial and conditional probability models, dealing with the overlap problem and relating the binding parameters to the experimentally measurable properties of the linear lattice-protein interactions. To this end, we present two specific examples where the quantitative models have been applied and further extended to provide biological insights into specific cellular processes. In the first case, the conditional probability model was extended to highlight the significant impact of nonspecific binding of transcription factors to the chromosomal DNA on gene-specific transcriptional activities. The second case presents the recently developed combinatorial models to unravel the complex organization of target protein binding sites within an intrinsically disordered region (IDR) of a nucleoporin. In particular, these models have suggested a unique function of IDRs as a molecular switch coupling distinct cellular processes. The quantitative models reviewed here are envisioned to further advance for dissection and functional studies of more complex systems including phase-separated biomolecular condensates.

• 실천공학교육논문지
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• 제14권3호
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• pp.609-615
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• 2022

This study aims to investigate the relationship between quality of life, activities of daily living, and depression among Korean super-aged women. In this study, the 7th (2018) data of the Korean Longitudinal Study of Aging (KLoSA) were used. The participants in this study were 363 super-aged women. The mean age was 88.67 years old. Quality of life was significantly related with Activities of daily living (ADL) (r = .34, p < .001), and depression (r = -.47, p < .001). The analysis of the hypothesized model showed a good fit to the data except for the χ² value (χ² = 38.8, df = 11, p < .001, CFI = .98, TLI = .96, RMSEA = 0.08). The hypothesized model explained 34% of the variance in super-aged women. The activities of daily living of elderly women had an indirect effect on quality of life via depression. Very old women with a high level of ADL were more likely to be feeling less depression, and elderly people who had less depression were likely to have a better quality of life. The findings thus highlight prevailing depression and activities of daily living as critical foci for clinical management strategies in super-aged women.

• 정보처리학회 논문지
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• 제13권5호
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• pp.236-242
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• 2024

소프트웨어 결함 예측(SDP)은 오류가 발생할 가능성이 있는 모듈을 사전에 식별하여 소프트웨어 개발의 효율을 높이고 있다. SDP에서의 주과제는 예측 성능을 향상시키는것에 있다. 최근 연구에서는 딥러닝 기법이 소프트웨어 결함 예측(SDP) 분야에 적용되어 있으며, 특히 구조화된 데이터를 분석하는 데 뛰어난 성능을 보이고 있는 SAINT 모델이 주목받고 있다. 본 연구는 SAINT 모델을 다른 주요 모델(XGBoost, Random Forest, CatBoost)과 비교하여 SDP에 적용 가능한 최신 딥러닝 기법을 조사하였다. SAINT는 일관되게 우수한 성능을 보여주며 결함 예측 정확도 향상에 효과적임을 입증하였다. 이 연구 결과는 실용적인 소프트웨어 개발 상황에서 결함 예측 방법론을 발전시킬 수 있는 SAINT의 잠재력을 강조하며, 교차 검증, 특성 스케일링, 비교 분석 등을 포함한 철저한 방법론을 통해 수행되었다.

• 한국음향학회지
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• 제32권6호
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• pp.455-471
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• 2013

능동소나는 일반적으로 천해에서 존재하는 표적을 탐지하기 위해 사용된다. 신호가 송신되고 표적으로부터 반향되어 되돌아올 때, 표적 반향신호는 다중경로, 거친 해저면 또는 해수면에 의한 산란 그리고 음속구조에 의한 굴절과 같은 다양한 음파전달 특성에 의해 왜곡 되어 수신되며, 이는 표적 탐지를 어렵게 만든다. 그러므로 능동소나의 운용성능 체계에서 표적 신호 모의 시 음파전달 특성을 고려하는 것이 필요하다. 본 논문에서는 단상태 능동소나 시스템을 고려하였으며, 표적 반향, 잔향음 그리고 주변소음은 각각 시계열 함수로 모의되었다. 마지막으로 전체 수신 신호를 모의하기 위해 위 신호들을 합하였다. 표적의 특징(형태, 위치, 자세각 등)을 반영한 3차원 대표반향점 모델은 음원과 표적 사이에 각각의 다중경로를 고려하여 표적 반향 신호를 모의하였다. 본 논문의 결과는 표적 신호 모의 시 직접파만을 고려한 알고리즘의 결과와 비교하였다.