• 제목/요약/키워드: Multiple Impacts

검색결과 398건 처리시간 0.034초

온라인 게임 이용자의 감정욕구와 사회규범 인식이 게임에 대한 태도 및 몰입에 미치는 영향 (Effects of Online Game Users' Need for Affect and Social Norms on their Attitude and Flow Experience)

  • 강내원
    • 한국게임학회 논문지
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    • 제20권4호
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    • pp.21-32
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    • 2020
  • 본 연구는 게임 이용자의 감정욕구(접근적/회피적)와 사회연결망 속에서 생성되는 사회규범(주관적/기술적 규범)에 대한 인식에 주목하면서, 이들이 게임에 대한 태도(유용적/쾌락적)와 게임 몰입에 미치는 영향을 살펴보았다. 위계적 다중회귀분석을 활용한 분석 결과, 게임 이용자의 게임에 대한 유용적 태도에 미치는 영향은 접근적 감정욕구와 주관적 규범이었으며, 게임에 대한 쾌락적 태도에 미치는 영향은 접근적 감정욕구, 회피적 감정욕구, 주관적 규범이었다. 또한 게임에 대한 몰입 정도를 예측함에 있어서는 게임 이용자의 회피적 감정욕구, 주관적 규범, 게임에 대한 유용적 태도, 쾌락적 태도가 유의미한 것으로 나타났다.

Impacts of Hierarchy in Ethernet Ring Networks on Service Resiliency

  • Lee, Kwang-Koog;Ryoo, Jeong-Dong;Kim, Young-Lok
    • ETRI Journal
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    • 제34권2호
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    • pp.199-209
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    • 2012
  • In transport networks, a multi-ring architecture is very useful to facilitate network planning and to design and provide more resilient services for customers. Unlike traditional synchronous optical network multi-rings, the service resiliency of Ethernet-based multi-rings is significantly impacted by the ring hierarchy because a link or node failure in a certain level ring triggers filtering database flush actions in all higher level rings as well as in the ring with the failure, and consequently a large amount of duplicated data frames may be flooded. In this paper, we investigate how the ring hierarchy impacts the service resiliency of multi-ring networks. Based on extensive experiments on various single- and multiple-link failures, we suggest two effective inter-ring connection rules to minimize the transient traffic and to ensure more resilient multi-ring networks. In addition, we consider a flush optimization technique called e-ADV, and show that the combination of e-ADV and multi-ring structures satisfying our inter-ring connection rules results in a more attractive survivability performance.

Bank Service Quality in Ethiopia: the Case of North and South Gondar Zones

  • Kassie, Abebaw
    • 동아시아경상학회지
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    • 제1권4호
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    • pp.91-107
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    • 2013
  • The main objective of this study was to test the impact of service quality dimensions on customer satisfaction. The conceptual model proposed in the study postulated that service quality impacts on customer satisfaction directly. The model also postulated that service quality has a positive relationship with customer satisfaction, and tested them through Multiple Regression to find their significance. Questionnaires were distributed to gather data. The SERVQUAL instrument has a useful diagnostic role to play in assessing and monitoring service quality in banks. The results of the study confirmed the five factors of service quality with customer satisfaction were significant in all factors of service quality. Reliability, Responsiveness, Empathy, Assurance, and Tangibles are significant determinants of customer satisfaction. Thus, service quality can be used to predict customer satisfaction. The research has shown a positive relationship between service quality and customer satisfaction. This research concluded that service quality is the basic and also most important factor that impacts customer satisfaction. This finding reinforces the need for banks managers to place an emphasis on the underlying dimensions of service quality, especially on Assurance, and should start with improving service quality in order to raise customer satisfaction.

A Global Strategy of a Company that Uses Culture Content as its Core Business

  • HONG, Ji-Hyun
    • 산경연구논집
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    • 제12권6호
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    • pp.37-46
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    • 2021
  • Purpose: The international business is affected by significant cultural factors that may impediment the operation and the ultimate performance of a business organization. The current study aims to investigate prior literatures works to find cross-cultural discrepancies such as the cultural distance that impacts international companies' operations and management and develop appropriate strategies for realizing high performance while overcoming these challenges. Research design, data and methodology: To find the required sources, the study employed the use of secondary data. Different search strategies were used to find the necessary materials from various sources. The data composed of an extensive review from multiple peer-reviewed journals and other existing research. Results: Based on literature analysis, the current study suggests novel seven strategies for multinational organizations. As a result, this study provides various pieces of literature to deduce meaningful information on the appropriate business strategies that a company can use to bridge the gap of the limitations of cross-cultural impacts on international businesses. Conclusion: An organization moving into a new cultural environment faces challenges including tastes and preferences, norms, language barriers, and beliefs. Organizations, therefore, have to devise the best strategies to align themselves with the prevailing cultural conditions to reap the benefits of internationalization.

시스템다이내믹스 모델을 이용한 농업용수 시스템의 기후 복원력 평가 (Climate Resilience Assessment of Agricultural Water System Using System Dynamics Model)

  • 최은혁
    • 한국농공학회논문집
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    • 제63권4호
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    • pp.65-86
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    • 2021
  • This study aims at testing a hypothesis that the resilience of agricultural water systems is characterized by trade-offs and synergies of effects from climate and socioeconomic change. To achieve this, an Agricultural Water System Climate Resilience Assessment (ACRA) framework is established to evaluate comprehensive resilience of an agricultural water system to the combined impacts of the climate and socioeconomic changes with a case study in South Korea. Understanding dynamic behaviors of the agricultural water systems under climate and socioeconomic drivers is not straightforward because the system structure includes complex interactions with multiple feedbacks across components in water and agriculture sectors and climate and socioeconomic factors, which has not been well addressed in the existing decision support models. No consideration of the complex interactions with feedbacks in a decision making process may lead to counterintuitive and untoward evaluation of the coupled impacts of the climate and socioeconomic changes on the system performance. In this regard, the ACRA framework employs a System Dynamics (SD) approach that has been widely used to understand dynamics of the complex systems with the feedback interactions. In the ACRA framework applied to the case study in South Korea, the SD model works along with HOMWRS simulation. The ACRA framework will help to explore resilience-based strategies with infrastructure investment and management options for agricultural water systems.

Climate change impact assessment of agricultural reservoir using system dynamics model: focus on Seongju reservoir

  • Choi, Eunhyuk
    • 농업과학연구
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    • 제48권2호
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    • pp.311-331
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    • 2021
  • Climate change with extreme hydrological events has become a significant concern for agricultural water systems. Climate change affects not only irrigation availability but also agricultural water requirement. In response, adaptation strategies with soft and hard options have been considered to mitigate the impacts from climate change. However, their implementation has become progressively challenging and complex due to the interconnected impacts of climate change with socio-economic change in agricultural circumstances, and this can generate more uncertainty and complexity in the adaptive management of the agricultural water systems. This study was carried out for the agricultural water supply system in Seongju dam watershed in Seonju-gun, Gyeongbuk in South Korea. The first step is to identify system disturbances. Climate variation and socio-economic components with historical and forecast data were investigated Then, as the second step, problematic trends of the critical performance were identified for the historical and future climate scenarios. As the third step, a system structure was built with a dynamic hypothesis (causal loop diagram) to understand Seongju water system features and interactions with multiple feedbacks across system components in water, agriculture, and socio-economic sectors related to the case study water system. Then, as the fourth step, a mathematical SD (system dynamics) model was developed based on the dynamic hypothesis, including sub-models related to dam reservoir, irrigation channel, irrigation demand, farming income, and labor force, and the fidelity of the SD model to the Seongju water system was checked.

Impacts of label quality on performance of steel fatigue crack recognition using deep learning-based image segmentation

  • Hsu, Shun-Hsiang;Chang, Ting-Wei;Chang, Chia-Ming
    • Smart Structures and Systems
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    • 제29권1호
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    • pp.207-220
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    • 2022
  • Structural health monitoring (SHM) plays a vital role in the maintenance and operation of constructions. In recent years, autonomous inspection has received considerable attention because conventional monitoring methods are inefficient and expensive to some extent. To develop autonomous inspection, a potential approach of crack identification is needed to locate defects. Therefore, this study exploits two deep learning-based segmentation models, DeepLabv3+ and Mask R-CNN, for crack segmentation because these two segmentation models can outperform other similar models on public datasets. Additionally, impacts of label quality on model performance are explored to obtain an empirical guideline on the preparation of image datasets. The influence of image cropping and label refining are also investigated, and different strategies are applied to the dataset, resulting in six alternated datasets. By conducting experiments with these datasets, the highest mean Intersection-over-Union (mIoU), 75%, is achieved by Mask R-CNN. The rise in the percentage of annotations by image cropping improves model performance while the label refining has opposite effects on the two models. As the label refining results in fewer error annotations of cracks, this modification enhances the performance of DeepLabv3+. Instead, the performance of Mask R-CNN decreases because fragmented annotations may mistake an instance as multiple instances. To sum up, both DeepLabv3+ and Mask R-CNN are capable of crack identification, and an empirical guideline on the data preparation is presented to strengthen identification successfulness via image cropping and label refining.

The Effect of Depression on Quality of Life in Patients with Parkinson's Disease: Mediating Effect of Family Function

  • Bae, Eun Sook;Kang, Hye Seung
    • 지역사회간호학회지
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    • 제33권1호
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    • pp.105-113
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    • 2022
  • Purpose: The purpose of this study is to explore the roles and function of family in mediating the relationship between depression and quality of life of patients with Parkinson's disease (PD). Most studies have found that depression is particularly common in patients with PD and further associated with poor quality of life. Family function, as a mediator, is based on a strength orientation perspective that emphasizes not only their responsibilities and risks but also recuperative powers and growth potential. Methods: Overall 157 adults with idiopathic Parkinson's disease were enrolled in this study via outpatient clinic and completed a set of assessment to measure depression using BDI, family APGAR questionnaire, and patients' quality of life using PDQ-8. Hierarchical multiple regression analysis was conducted to examine the mediating role of family APGAR score in the relationship between BDI and PDQ-8. Results: Patients' depression, gait disturbance, duration of illness, and family function were statistically significant on quality of life. These factors accounted for 60% of the variance in quality of life. Family function has a partial mediating effect on the relationship between depression and quality of life. Conclusion: Findings from the study suggest that although PD patients' depression impacts their quality of life, by having strong family function, the extent to which depression impacts the quality of life can be favorably mitigated. Additionally, these outcomes have important implications for future model development regarding PD patients.

Use of Geo-spatial Information System for the Potential Location Analysis of Small Hydropower.

  • Bastola, Shiksha;Lee, Sangheop;Kareem, Kola Yusuff;Jung, Younghun
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2021년도 학술발표회
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    • pp.151-151
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    • 2021
  • The alarming climate change impacts are demanding the use of renewable energy sources like never before. Hydropower is one of the most cost-effective and environmental friendly energy technology recognized in the world. Big hydropower projects come up with the requirements of huge investment costs along with environmental impacts, whereas small hydropower(SHP) are considered a best solution for the economical source of energy. SHP, basically Run-of-River (RoR) type plants can be sustainable renewable energy sources and given the nature of perennial rivers flowing from steep gradient and rugged topography, feasibility of such plants is equally high in Nepal. The objective of this study is to determine the primary potential sites for the development of RoR type SHP sites using Geo-spatial Information System(GSIS). The use of GSIS enables precise survey of large area within a short period of time. This study has focused on the determination of locations by establishing defined criterions and methodologies and hence have located multiple locations rather than selecting one best location. The approach is applicable for the rapid initial screening of potential locations and results can facilitate detail feasibility study for the technical and economic analysis of SHP in the basin.

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External mechanisms driving ecosystem changes in a coastal wetland, the Mississippi Delta, USA

  • Ryu, Junghyung;Liu, Kam-biu;McCloskey, Terrence A.;Yun, Sang-Leen
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2022년도 학술발표회
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    • pp.85-85
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    • 2022
  • The world's most extensive and active deltas, Louisiana's wetlands, are deteriorating rapidly due to multiple stressors such as the discharge of the Mississippi River, sea-level rise, and coastal retreat, the substantial but spatially and temporally variable impacts. However, the ecological and anthropogenic histories, the mode of environmental changes on a multi-millennial timescale have not been thoroughly documented. This study, a palynology-based multiproxy analysis, investigates hydrological, geological, geochemical, and anthropogenic impacts on southern Louisiana wetlands and a variety of external forcing agents influencing ecological succession. Sediment cores extracted from a small pond on a mangrove-dominate island near Port Fourchon, Louisiana, USA yielded a 4,000-year record. The site has been transformed from freshwater to saline water environments, to a mangrove dominant island over the late Holocene. The multivariate principal component analysis identified the relative strength of external drivers responsible for each ecological shift. The Mississippi River delta cycle (lobe switching) was the dominant driver of ecosystem changes during the late Holocene, while relative sea-level rise, tropical cyclones, climate, and anthropogenic effects have been the main drivers late in the site's history.

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