• 제목/요약/키워드: challenge model

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Herd behavior and volatility in financial markets

  • Park, Beum-Jo
    • Journal of the Korean Data and Information Science Society
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    • v.22 no.6
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    • pp.1199-1215
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    • 2011
  • Relaxing an unrealistic assumption of a representative percolation model, this paper demonstrates that herd behavior leads to a high increase in volatility but not trading volume, in contrast with information flows that give rise to increases in both volatility and trading volume. Although detecting herd behavior has posed a great challenge due to its empirical difficulty, this paper proposes a new methodology for detecting trading days with herding. Furthermore, this paper suggests a herd-behavior-stochastic-volatility model, which accounts for herding in financial markets. Strong evidence in favor of the model specification over the standard stochastic volatility model is based on empirical application with high frequency data in the Korean equity market, strongly supporting the intuition that herd behavior causes excess volatility. In addition, this research indicates that strong persistence in volatility, which is a prevalent feature in financial markets, is likely attributed to herd behavior rather than news.

A Comparative Analysis of Artificial Neural Network (ANN) Architectures for Box Compression Strength Estimation

  • By Juan Gu;Benjamin Frank;Euihark Lee
    • KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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    • v.29 no.3
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    • pp.163-174
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    • 2023
  • Though box compression strength (BCS) is commonly used as a performance criterion for shipping containers, estimating BCS remains a challenge. In this study, artificial neural networks (ANN) are implemented as a new tool, with a focus on building up ANN architectures for BCS estimation. An Artificial Neural Network (ANN) model can be constructed by adjusting four modeling factors: hidden neuron numbers, epochs, number of modeling cycles, and number of data points. The four factors interact with each other to influence model accuracy and can be optimized by minimizing model's Mean Squared Error (MSE). Using both data from the literature and "synthetic" data based on the McKee equation, we find that model estimation accuracy remains limited due to the uncertainty in both the input parameters and the ANN process itself. The population size to build an ANN model has been identified based on different data sets. This study provides a methodology guide for future research exploring the applicability of ANN to address problems and answer questions in the corrugated industry.

Impact of Job Rotation Stress in Nurses on Psychological Well-being: Focusing on Mediating Effect of Challenge Assessment and Hindrance Assessment (간호사의 직무순환 스트레스가 심리적 안녕감에 미치는 영향: 도전적 평가와 방해적 평가의 매개효과 중심으로)

  • Lee, Hanna;Kim, Jung Min;Han, Jeong Won
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.10
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    • pp.373-381
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    • 2017
  • This study was conducted to establish and verify a theoretical model that explains the factors and pathways influencing the psychological well-being of nurses. The subjects of this study were nurses working in four general hospitals with over 200 beds in B city and G province. The results of verifying the path coefficient of the nurses' job rotation stress showed that job rotation stress had a significant effect on challenge stress, hindrance stress, and nurses' psychological well-being, while hindrance stress had a negative effect on nurses' psychological well-being. Nurses' job rotation stress had direct effects on challenge stress, hindrance stress, and psychological well-being. Hindrance stress had a direct effect on psychological well-being. In addition, nurses' job rotation stress had an indirect effect on psychological well-being through hindrance stress. Nurses who experienced job rotation showed challenge and hindrance stress. Since hindrance stress interferes with the psychological well-being of nurses, it is necessary to manage stress and make efforts in the nursing organization. Therefore, nursing organizations should establish a positive organizational environment and develop systematic strategies so that job rotation can be a challenging stress factor for nurses.

Development of Subacute Animal Model to Predict Occurrence of Systemic Anaphylaxis Following Vaccination and Evaluation of Various Immunotoxicological Parameters (백신 접종후 발생할 수 있는 전신적과민증 예측을 위한 아급성 실험동물 모형 개발과 관련 면역독성학적 지표치 평가)

  • Heo, Yong;Kim, Kwang-Ho
    • Toxicological Research
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    • v.18 no.2
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    • pp.205-213
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    • 2002
  • This study was undertaken to develop a subacute murine model for predicting occurrence of systemic anaphylaxis and to evaluate efficacy of various immunological parameters as the monitoring indices for the occurrence of anaphyalxis. The murine anaphyalxis model was developed through intraperitoneally sensitizing 100 $\mu\textrm{g}$ ovalbumin (OVA) in the presence of 1 mg alum and 300 ng cholera toxin twice a week interval followed by challenging 500 $\mu\textrm{g}$. OVA intravenously. Typical anaphylaxis symptoms were demonstrated at the both BALB/c mice, a strain prone to type-2 response, and C57BL/6 mice. a strain prone to type-1 response. Level of plasma histamine was approximately 50-fold or 30-fold higher in the mice sensitized with OVA than the mice sensitized with alum plus cholera toxin or the saline-treated mice after OVA challenge, respectively. Sensitization and challenge with OVA significantly enhanced plasma leukotriene $B_4$ level but not IgE levels in comparison with the control mice, which indicated the role of leukotriene $B_4$ for progression of anaphyalxis. Furthermore, among mice suffered from anaphylaxis, levels of OVA-specific IgGl were significantly higher in the BALB/c mice than in the C57BL/6 mice, which implied the genetic susceptibility for the induction of systemic anaphylaxis. Conclusively, simultaneous evaluation of histamine, leukotriene $B_4$, and allergen-specific IgG isotype may serve as more efficient monitoring tool for vaccine-related anaphyalxis.

Optimization of MC903-induced Atopic Dermatitis Mouse Model : Focusing on Reducing the Induction Period and Adverse Effects (MC903으로 유도하는 아토피피부염 생쥐 동물 모델 최적화 : 유발 기간 단축 및 부작용 감소를 중심으로)

  • Soyeon Kim;Ji Hyo Lyu;Hyungwoo Kim
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.37 no.2
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    • pp.25-29
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    • 2023
  • This study was designed to establish an atopic dermatitis (AD) model using MC903 and was conducted to find out the optimal challenge concentration that can cause dermatitis symptoms enough to be experimentally verified while reducing adverse effects such as weight loss. MC903 was treated at concentrations of 2, 3, and 4 nmol/day, and evaluation of skin surface symptoms, water contents, histopathological changes, body weight changes, and spleen/body weight ratio was conducted. In addition, the expression level of thymic stromal lymphopoietin (TSLP) was also observed. In our results, MC903 induced AD skin lesions such as erythema, scab and fissure and lowered skin moisture level significantly. In addition, water holding capacities in the 3 or 4 nmol groups were diminished significantly compared to that in the control group. On the other hand, 4 nmol treatment induced a weight loss of up to 20% compared to control group. Finally, a higher level of TSLP expression was observed in the 3 nmol group than in the 2 nmol group or the 4 nmol group. Taken together, we propose a total 14-day protocol consisting of 3 days of sensitization (2 nmol/day) and 6 days of challenge (3 nmol/day).

Barriers to E-Commerce Business Model in Cambodia and The Suggestion: A Case Study

  • Khoeurn, Saksonita;Kim, Yun Seon
    • Asia Pacific Journal of Business Review
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    • v.2 no.1
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    • pp.69-85
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    • 2017
  • Electronic commerce (e-commerce) has seen as the potential to improve profitability and productivity in many areas as well as gaining notable attention in many countries. Despite, there has been some uncertainty about the e-commerce impacts for developing countries. The sufficient basic infrastructural deficiency, socio-political, economic and the lack of government public ICT policies have formed the significant barriers to the adoption and e-commerce growth in developing countries. Even though there are many researchers have found the common barriers to e-commerce in the developing nations, all business models targeting those countries are not equally successful. Small companies' persistence failed to challenge the e-commerce barriers in Cambodia because the firms didn't know the correct business model to succeed in this country online market. Therefore, this study will discuss the existing barriers which lead to limit e-commerce growth in Cambodia and the suggested solutions with the suitable business model for the e-commerce business in the country too.

풍력 블레이드의 전단 웹 모양의 최적화를 위한 구조 해석에 대한 연구

  • Kim, Jin-Myeong;Song, Seong-Il
    • Proceeding of EDISON Challenge
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    • 2015.03a
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    • pp.217-222
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    • 2015
  • In this paper, a study was conducted for the optimization through shear web of shape the Edison program in wind power blade. We measured the displacement and stress distribution through two optimization methods to select the model with the smallest displacement and stress values. Before running the analysis, We try to find the inflection point through the shear web of the model and then analyze by introducing the geometric nonlinearity. The first optimization variables are introduced by the pitch angle and three web shapes. Third model such a honeycomb structure is good way to get an advantage for bending test. According to a method of previous optimization, third model is chosen and then the thickness of the web and blade as a variable is introduced, it is extracted as a result of displacement and the maximum stress per mass.

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Heat Sink Design Optimization using Genetic Algorithm (Genetic Algorithm을 활용한 Heat Sink 최적 설계)

  • Kim, Won Gon
    • Proceeding of EDISON Challenge
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    • 2015.03a
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    • pp.500-509
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    • 2015
  • This paper presents the single objective design optimization of plate-fin heat sink equipped with fan cooling system using Genetic Algorithm. The proper heat sink and fan model are selected based on the previous studies. And the thermal resistance of heat sinks and fan efficiency during operation are calculated according to specific design parameters. The objective function is combination of thermal resistance and fan efficiency which have been taken to measure the performance of the heat sink. And Decision making procedure is suggested considering life time of semiconductor and Fan Operating cost. And also Analytical Model used for optimization is validated by Fluent, Ansys 13.0 and this model give a quite reasonable and reliable design.

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Strategic Management Audit to Government-sponsored Research Institutes : A Case of Korea Basic Science Institute (KBSI) (정부출연연구기관의 전략적 경영감사 : 한국기초과학지원연구원의 사례를 중심으로)

  • Chung Sun-Yang;Park Jeong-Soo;Gim In-Ho;Cho Sung-Bok
    • Journal of Korea Technology Innovation Society
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    • v.8 no.2
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    • pp.832-859
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    • 2005
  • Government-sponsored Research Institutes (GRIs) have made a great contribution to the development of Korea's Science and Technology (S&T). However, recently, GRIs are facing the challenge of many problems, for instance, absence of reasonable strategies, insufficient resources, and so on. Therefore, many GRIs are required for solving these problems by enhancing their strategic management capabilities. For this purpose, this paper suggests a Strategic Management Audit Model for Korean GRIs. The concept of Strategic Management Audit Model has not been widely adopted in Korean GRIs. In this paper, we suggest GRI-specific Strategic Management Model and apply it to Korea Basic Science Institute (KBSI), which is under the Korea Research Council of Fundamental Science and Technology (KRCF). Based on our strategic management audit, we propose several potential strategies for Korean Basic Research Institutes (KBSI). Our model and its implications will also be helpful for other Korean GRIs.

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Dynamic Collaborative Cloud Service Platform: Opportunities and Challenges

  • Yoon, Chang-Woo;Hassan, Mohammad Mehedi;Lee, Hyun-Woo;Ryu, Won;Huh, Eui-Nam
    • ETRI Journal
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    • v.32 no.4
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    • pp.634-637
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    • 2010
  • This letter presents a model for a dynamic collaboration (DC) platform among cloud providers (CPs) that prevents adverse business impacts, cloud vendor lock-in and violation of service level agreements with consumers, and also offers collaborative cloud services to consumers. We consider two major challenges. The first challenge is to find an appropriate market model in order to enable the DC platform. The second is to select suitable collaborative partners to provide services. We propose a novel combinatorial auction-based cloud market model that enables a DC platform among CPs. We also propose a new promising multi-objective optimization model to quantitatively evaluate the partners. Simulation experiments were conducted to verify both of the proposed models.