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Understanding the Influence of Funder Characteristics on Information Processing and Pledging Intention on a Reward-based Crowdfunding Platform (보상기반 크라우드 펀딩 플랫폼에서 투자자의 특성이 정보 처리 및 투자 의사결정에 미치는 영향)

  • Ilyoo Barry Hong;KwangWook Gang;Hoon S. Cha
    • Information Systems Review
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    • v.25 no.4
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    • pp.265-290
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    • 2023
  • Even though crowdfunding has become popular as a novel means of raising capital for early-stage ventures and startups through an Internet-based platform, it is unclear how a funder's characteristics, such as motivation and ability, influence their information processing and pledging decision. This study aims to propose and test a research model for determining the relationships between a funder's personal attributes, information processing style, and funding intention. To test the research model, we collected data from 139 Amazon Mechanical Turk participants through an online questionnaire survey. The findings indicate that a funder's self-efficacy has a positive effect on heuristic processing but has no significant effect on systematic processing. By contrast, a funder's personal relevance positively influences both systematic and heuristic processing. Furthermore, heuristic processing, as well as perceived value and perceived risk, influence pledging intentions positively. Our findings potentially contribute to improving the design of crowdfunding platforms to better support a funder's information needs. Based on our findings, we discuss the implications of our study as well as the directions for future research.

Unsteady Aerodynamic Characteristics of an Non-Synchronous Heaving and Pitching Airfoil Part 1 : Frequency Ratio (비동기 히브 및 피치 운동에 따른 에어포일 비정상 공력 특성 Part 1 : 진동 주파수 비)

  • Seunghwan Ji;Cheoulheui Han
    • Journal of Aerospace System Engineering
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    • v.17 no.6
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    • pp.54-62
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    • 2023
  • Flapping-wing air vehicles, well known for their free vertical take-off and excellent flight capability, are currently under intensive development and research. While most of the studies have explored the effect of various parameters of synchronized motions on the unsteady aerodynamics of flapping wings, limited attention has been given to the effect of nonsynchronous motions on the unsteady aerodynamic characteristics of flapping wings. In the present study, we conducted a numerical analysis to investigate the unsteady aerodynamic characteristics of an airfoil flapping with different frequency ratios between pitch and heave oscillations. We identified the motions and angle of attacks due to nonsynchronous motions. It was found that the synchronous motion produced thrust with zero lift, but the nonsynchronous motion generated a large lift with little drag. The aerodynamic characteristics of the airfoil undergoing the non-synchronous motion were also analyzed using the vorticity distributions and the pressure coefficient around and on the airfoil. When r was equal to 0.5, larger leading and trailing edge vortices were observed compared to the case when r was equal to 1.0, and these vortices significantly affected the aerodynamic characteristics of the airfoil undergoing the nonsynchronous motion. In future, the effect of pitch amplitude on the unsteady aerodynamic characteristics of the airfoil will be studied.

Design and Implementation of a Project Work Unit-based Scheduling Application (프로젝트 작업 단위 기반 일정 관리 애플리케이션의 설계 및 구현)

  • Bomin Kim;Minyoung Kim
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.1173-1178
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    • 2023
  • In modern society, there is a tendency to emphasize efficiency and lead to detailed planning of team projects and individual tasks within organizations. In a 24-hour routine, the ability to use time effectively is considered an indicator of conscientiousness, and people try to imitate planned and organized people and utilize various systems to manage their daily lives. The reason why you want to perform a given task efficiently is because it affects the success or failure of the project by completing the task within a set period of time. Neglecting the project schedule is considered a major risk that threatens a successful outcome. This applies not only to large-scale organizational projects but also to individual life, and utilizes a variety of schedule management tools that emphasize time-based efficient management. In project management, it is necessary to carefully understand the detailed work progress rather than simply based on Today. In this paper, we propose an Android application that can manage schedules by accessing the user's project in units of tasks rather than dates, and introduce its implementation. The application we implemented in this paper can manage the project's goals and schedule by registering the project to which the user belongs. In addition, it provides the ability to approach work efficiently by visualizing the progress of the entire project or individual goals. As a result, users can use the application we propose in this paper to focus on their projects and manage schedules by task, thereby improving the overall efficiency of the project.

The Link between CVC Investments and Firm Innovation: Focusing on the Moderating Role of ESG Risk (기업벤처캐피탈(CVC) 투자와 투자기업 혁신 성과 간의 관계: ESG 리스크의 조절 효과를 중심으로)

  • Son, Hanei
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.17 no.2
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    • pp.195-205
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    • 2022
  • This study aims to investigate the relationship between Corporate Venture Capital(CVC) investments and firm innovation, exploring the moderating effect of corporate ESG risk on this relationship. First, adopting the organizational learning theory, I theorize a process in which a firm's relationship with a venture through CVC investments acts as an external innovation source for learning and ultimately short-term innovation. Also, based on the discussion of the stakeholder theory, I argue that when a firm is evaluated as having high ESG risk externally, this may have a negative moderating effect that weakens the relationship between CVC investments and innovative performance. In order to verify these hypotheses, panel data analysis was performed using CVC investments data, patent application data, and ESG risk scores of US high-tech firms from 1993 to 2018. As a result of the analysis, as expected, it was found that the more the firm invests in ventures through CVC, the more the firm's innovative performance increases. In addition, the social aspect of ESG risk of a firm, related to the local community and employees, were found to weaken the association between CVC investments and innovative performance. This study expands the understanding of existing research on CVC investments as a vehicle for learning and innovation. Focusing on the importance of relationship with ventures rather than the size of CVC investments, I empirically examined that the formation of CVC relationships with ventures is directly related to the short-term innovation of investing firms. Additionally, this study contributes to the CVC literature by including stakeholders in the current discussion in addition to investing firms and portfolio ventures. Finally, this study investigated how ESG issues, which are attracting attention as playing an important role in firm activities, are related to CVC investments.

Changes in the Teaching Expertise of Teachers Participating in an In-School Professional Learning Community for Elementary Science Instructional Research (초등과학 수업 연구를 위한 학교 안 전문적 학습공동체 참여 교사들의 수업 전문성 변화 양상)

  • Kim, Eun Seo;Lee, Sun-Kyung
    • Journal of Korean Elementary Science Education
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    • v.43 no.1
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    • pp.185-200
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    • 2024
  • This study explored the changes in the elementary science teaching expertise of teachers who participated in an in-school professional learning community for elementary science instructional research. Six elementary school teachers from grades 4, 5, and 6 at an 18-class S elementary school in a medium-sized city in Chungcheongbuk-do conducted collaborative instructional research on elementary science lessons as part of an in-school professional learning community, which was held 26 times over 7 months in 2020. During the professional learning community, video and audio recordings of the activities, research lessons, course materials, and professional learning community reflection activities were collected for analysis. The collected data were analyzed using qualitative research methods; data processing, reading, note-taking, description, classification, interpretation, reporting, and visualization; and the instructional professionalism elements were extracted based on the instructional professionalism framework. In the early professional learning community activity stages, the participating teachers first discussed their teaching perspectives, their experiences, and their goals for teaching science, which resulted in a selection of research questions. The teachers then collaboratively designed and implemented research lessons for each grade level, after which lesson reflections were conducted. The teachers' abilities to engage in qualitative reflection on the research questions improved after each reflection iteration. It was found that this professional learning community collaborative lesson study experience positively contributed to teaching expertise development. Based on the study findings, the implications for using professional learning communities to improve elementary teachers' science teaching expertise are given.

Optimization of Uneven Margin SVM to Solve Class Imbalance in Bankruptcy Prediction (비대칭 마진 SVM 최적화 모델을 이용한 기업부실 예측모형의 범주 불균형 문제 해결)

  • Sung Yim Jo;Myoung Jong Kim
    • Information Systems Review
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    • v.24 no.4
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    • pp.23-40
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    • 2022
  • Although Support Vector Machine(SVM) has been used in various fields such as bankruptcy prediction model, the hyperplane learned by SVM in class imbalance problem can be severely skewed toward minority class and has a negative impact on performance because the area of majority class is expanded while the area of minority class is invaded. This study proposed optimized uneven margin SVM(OPT-UMSVM) combining threshold moving or post scaling method with UMSVM to cope with the limitation of the traditional even margin SVM(EMSVM) in class imbalance problem. OPT-UMSVM readjusted the skewed hyperplane to the majority class and had better generation ability than EMSVM improving the sensitivity of minority class and calculating the optimized performance. To validate OPT-UMSVM, 10-fold cross validations were performed on five sub-datasets with different imbalance ratio values. Empirical results showed two main findings. First, UMSVM had a weak effect on improving the performance of EMSVM in balanced datasets, but it greatly outperformed EMSVM in severely imbalanced datasets. Second, compared to EMSVM and conventional UMSVM, OPT-UMSVM had better performance in both balanced and imbalanced datasets and showed a significant difference performance especially in severely imbalanced datasets.

A Study on Seismic Performance of External Reinforcement for Unreinforced Masonry Buildings (비보강 조적조 건축물의 외부 보강에 따른 내진성능 연구)

  • Jong-Yeon Kim;Jong Kang
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.28 no.2
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    • pp.43-52
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    • 2024
  • In this study, we evaluated the seismic performance of a masonry building that was not designed to be earthquake-resistant and attempted to improve the seismic performance by adopting a seismic reinforcement method on the exterior of the building. In addition, the building seismic design standards and commentary(KDS 41 17 00:2019) and existing facility(building) seismic performance evaluation methods were applied to evaluate seismic performance, and a pushover analysis was performed using non-linear static analysis. As the result of this study, it was determined that seismic reinforcement was urgent because the distribution rate of earthquake-resistant design of houses in Korea was low and masonry structures accounted for a large proportion of houses. When reinforcing the steel beam-column+brace frame in a masonry building, the story drift angle was 0.043% in the X direction and 0.047% in the Y direction, indicating that it satisfied the regulations. The gravity load resistance capacity by performance level was judged to be a safe building because it was habitable in both X and Y directions. In conclusion, it is believed that the livability and convenience of the house can be secured by reinforcing the exterior of the building and the seismic performance and behavior of the structure can be clearly predicted.

Key Factors of Talented Scientists' Growth and ExpeI1ise Development (과학인재의 성장 및 전문성 발달과정에서의 영향 요인에 관한 연구)

  • Oh, Hun-Seok;Choi, Ji-Young;Choi, Yoon-Mi;Kwon, Kwi-Heon
    • Journal of The Korean Association For Science Education
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    • v.27 no.9
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    • pp.907-918
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    • 2007
  • This study was conducted to explore key factors of expertise development of talented scientists who achieved outstanding research performance according to the stages of expertise development and dimensions of individual-domain-field. To fulfill the research purpose, 31 domestic scientists who were awarded major prizes in the field of science were interviewed in-depth from March to September, 2007. Stages of expertise development were analyzed in light of Csikszentmihalyi's IDFI (individual-domain-field interaction) model. Self-directed learning, multiple interests and finding strength, academic and liberal home environment, and meaningful encounter were major factors affecting expertise development in the exploration stage. In the beginner stage, independence, basic knowledge on major, and thirst for knowledge at university affected expertise development. Task commitment, finding flow, finding their field of interest and lifelong research topic, and mentor in formal education were the affecting factors in the competent stage. Finally, placing priority, communication skills, pioneering new domain, expansion of the domain, and evaluation and support system affected talented scientists' expertise development in the leading stage. The meaning of major patterns of expertise development were analyzed and described. Based on these analyses, educational implications for nurturing scientists were suggested.

An Interpretation of "Golden Bird" from the Perspective of Analytical Psychology (그림형제 동화 '황금 새'의 분석심리학적 해석)

  • Sang Hag Park
    • Sim-seong Yeon-gu
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    • v.31 no.2
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    • pp.177-214
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    • 2016
  • This thesis is an interpretation of "Golden bird" of Grimm's fairy tale and similar other tales from the perspective of analytical psychology. Golden bird story start loss of golden apple in king's garden. King and three sons are one-sided structure live without female members in family. They need feminine aspect. Adventure and journey of stupid youngest son can be seen as a individuation process in analytic psychology. Ego meets several painful experience during journey. New Kingdom has a new specific collective consciousness. When ego fixed dominated specific collective consciousness he can only be liberated after completing the difficult task of the next phase in crisis of death. This process is initiation, which is a supplement to feminity after recovery of increased consciousness, marriage with the princess, which is possible to unify the sexes (coniunctio oppositorum). The ego who got the apple, bird, horse, and princess which is shown to be a supplement to feminity, does not attain a complete success. Although the youngest comes out after brothers' failure, yet separation and abandonment of persona are difficult challenges and after all he achives a higher consciousness and then he primarily marries the princess, his Anima, after he executed his brothers for his repeated hardships, when the intellectual capacity is sacrificed as offering. Also, the fox restores himself from magic after the youngest son kills him and cut his head and feet, as the fox's wish. To be transformed into a human being. It experiences another consciousness. Finally, unifying the coniunctio oppositerum is fulfilled and a divine bond achieves the wholeness and it is accomplished individuation. In clinical practice, fox is compared to a therapist as a guide of individuation process who lead clients.

Bit-width Aware Generator and Intermediate Layer Knowledge Distillation using Channel-wise Attention for Generative Data-Free Quantization

  • Jae-Yong Baek;Du-Hwan Hur;Deok-Woong Kim;Yong-Sang Yoo;Hyuk-Jin Shin;Dae-Hyeon Park;Seung-Hwan Bae
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.7
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    • pp.11-20
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    • 2024
  • In this paper, we propose the BAG (Bit-width Aware Generator) and the Intermediate Layer Knowledge Distillation using Channel-wise Attention to reduce the knowledge gap between a quantized network, a full-precision network, and a generator in GDFQ (Generative Data-Free Quantization). Since the generator in GDFQ is only trained by the feedback from the full-precision network, the gap resulting in decreased capability due to low bit-width of the quantized network has no effect on training the generator. To alleviate this problem, BAG is quantized with same bit-width of the quantized network, and it can generate synthetic images, which are effectively used for training the quantized network. Typically, the knowledge gap between the quantized network and the full-precision network is also important. To resolve this, we compute channel-wise attention of outputs of convolutional layers, and minimize the loss function as the distance of them. As the result, the quantized network can learn which channels to focus on more from mimicking the full-precision network. To prove the efficiency of proposed methods, we quantize the network trained on CIFAR-100 with 3 bit-width weights and activations, and train it and the generator with our method. As the result, we achieve 56.14% Top-1 Accuracy and increase 3.4% higher accuracy compared to our baseline AdaDFQ.