• Title/Summary/Keyword: avoidance-based

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The Effect of Cultural Dimensions on Knowledge-Sharing Intentions: Evidence from Higher Education Institutions in Jordan

  • AL HAWAMDEH, Nayel;AL QATAMIN, Ali
    • The Journal of Asian Finance, Economics and Business
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    • 제8권5호
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    • pp.1079-1089
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    • 2021
  • The current study aims to examine the effect of Hofstede's dimensions of culture on the intention of sharing knowledge in higher education institutions (HEIs) in Jordan. In the literature, researchers have given limited attention to such an effect. Therefore, by adopting Hofstede's framework, the current study attempts to investigate how Jordan's cultural context impacts on the intentions to share knowledge in HEIs. This study applied quantitative research methods to investigate the effect of Hofstede's cultural dimensions on knowledge-sharing intentions. In total, 307 questionnaires were collected from employees in Jordanian universities and, then, tested using descriptive and regression analytical methods. The study results show that culture dimensions influence knowledge-sharing intention and that each dimension plays a different role in enhancing this knowledge-sharing intention. More specifically, it was found that long-term orientation, collectivism and high uncertainty avoidance had a positive effect on knowledge-sharing intention, while cultural masculinity and power distance had no negative effect. Based on these results, the study makes several recommendations, the most important of which is the promotion of cultural values that encourage intention to share knowledge. Also, more qualitative research is needed to explore in depth the effective means that encourage intentions to share different types of knowledge.

Motives for Empathy among Clinical Nurses in China: A Qualitative Study

  • Zhu, Yu;He, Ming-Mei;Zhu, Ji-Min;Huang, Li;Li, Bai-Kun
    • 대한간호학회지
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    • 제50권6호
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    • pp.778-786
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    • 2020
  • Purpose: This study aimed to explore the motives of clinical nurses for experiencing empathy with patients and their families based on a self-determination theory framework. Methods: Semi-structured face-to-face interviews with twenty-one nurses at four tertiary hospitals in Anhui, China, were conducted, recorded and transcribed. A content analysis with a directed approach was performed. Results: An analysis of the interview transcripts revealed three categories of empathy motivation: autonomous motivation, controlled motivation and a lack of empathy motivation. Autonomous motivation included personal interests, enjoyment and a sense of value, pure altruism, assimilation, and recognition of the importance of empathy. Controlled motivation highlighted pressures from oneself and others, the possibility of tangible or intangible rewards, and avoidance of adverse effects. Finally, a lack of empathy motivation referred to a lack of intention for empathy and denial of the value of empathy. Conclusion: This study provides a deep understanding of the motives underlying empathy in nurses. The results reveal the reasons for empathy and may support the development of effective strategies to foster and promote empathy in nurses.

Factors Affecting Efficiency of Electronic Customs and Firm Performance in Vietnam

  • NGUYEN, Hang Thanh;GRANT, David Bruce;BOVIS, Christopher;NGUYEN, Thuy Thi Le;MAC, Yen Thi Hai
    • The Journal of Asian Finance, Economics and Business
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    • 제8권2호
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    • pp.151-164
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    • 2021
  • The paper identifies the enablers (drivers) and inhibitors (barriers) influencing e-customs implementation in Vietnam (known as a developing country with a lower technological environment) along with determining the impact of e-customs on firm performance. The survey was conducted with the representatives (managers) of firms in five cities and provinces dominating Vietnam's international trade. The data was analyzed using structural equation modeling (SEM). The findings show two significant drivers (enablers) - relative advantages and national culture, while compatibility and ease of use are the barriers. Previous studies showed that cultural dimensions related to 'uncertainty acceptance' and 'individualism' encourage innovation; however, this paper demonstrates that 'uncertainty avoidance' and 'collectivism' promote e-customs deployment in Vietnam. Previously, Vietnamese culture was known for scoring high on cultural dimensions related to 'power distance' and 'short-term orientation'. However, today, as an emerging country, Vietnamese has switched to 'low distance' and 'long-term orientation', especially in terms of e-customs innovation. Additionally, the paper also emphasized that e-customs implementation had a positive influence on firm performance in Vietnam. Based on the results of the paper, policy-makers can devise essential solutions to enhance e-customs implementation as well as managers of firms can set-up strategies to adapt to the modernized environment.

초음파 센서 간 신호 간섭 제거 방법 (Removal Method of Signal Interference between Ultrasound Sensors)

  • 임형철;이성수
    • 전기전자학회논문지
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    • 제25권4호
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    • pp.584-590
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    • 2021
  • 본 논문에서는 초음파 센서로 거리를 측정할 때 간섭에 의해 발생하는 유령 신호를 배제하고 올바른 신호를 인식하는 초음파 센서 간 신호 간섭 제거 방안을 제시한다. 제안하는 기법에서는 이전 거리 측정 값과 현재 거리 측정 값을 비교하여 거리의 변화가 한계값을 벗어나면 유령 신호로 인식하고 배제한다. 기존 기법에서는 한계값이 고정되어 있어서 초음파 센서나 대상 물체가 급격하게 움직일 경우 유령 신호를 제대로 배제하기 어렵지만, 제안하는 기법에서는 한계값을 고정하지 않고 초음파 센서나 대상 물체가 움직일 경우 상대 속도에 따라 한계값을 적응적으로 결정하는 알고리즘을 사용하여 정확도를 높인다. 초음파 센서로 물체까지의 거리를 측정할 때 간섭이 가장 잘 일어나는 동종의 초음파 센서를 다수 사용하여 간섭 신호를 발생시키는 실험을 진행하였고 제안하는 기법이 효과적으로 유령 신호를 배제하는 것을 확인하였다.

The Relationship between Visual Perception and Emotion from Fear Appeals and Size of Warning Images on Cigarette Packages

  • Hwang, Mi Kyung;Jin, Xin;Zhou, Yi Mou;Kwon, Mahn Woo
    • Journal of Multimedia Information System
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    • 제9권2호
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    • pp.137-144
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    • 2022
  • This research aims to identify the relationship between visual perception and emotion by the types of fear responses elicited from warning images on cigarette packages as well as the effectiveness of the size of such images through questionnaires and eye-tracking experiments with twenty university students from the colleges based in Busan. The research distinguished and analyzed the warning images as rational appeals and emotional appeals by the degree of fear and disgust and the result concurred with the research conclusions of Maynard that people would naturally avoid eye contact when presented with a warning image on cigarette packages. Also, eye avoidance was highly identified with larger (75%) warning images. While the previous research mostly adopted the self-rated validation method, this research tried to make the methodology more objective by adopting both questionnaires and eye-tracking experiments. Through this research, authors contribute to finding effective warning images on cigarette packages in a way to increase public awareness of the dangers of smoking and discourage smoking. Further research is recommended to explore the effectiveness of using explicit images on cigarette packages by the types of smokers such as heavy smokers, normal smokers, and non-smokers.

머신러닝/ADAS 정보 활용 충돌안전 제어로직 개발 (Development of Collision Safety Control Logic using ADAS information and Machine Learning)

  • 박형욱;송수성;신장호;한광철;최세경;하헌석;윤성로
    • 자동차안전학회지
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    • 제14권3호
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    • pp.60-64
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    • 2022
  • In the automotive industry, the development of automobiles to meet safety requirements is becoming increasingly complex. This is because quality evaluation agencies in each country are continually strengthening new safety standards for vehicles. Among these various requirements, collision safety must be satisfied by controlling airbags, seat belts, etc., and can be defined as post-crash safety. Apart from this safety system, the Advanced Driver Assistance Systems (ADAS) use advanced detection sensors, GPS, communication, and video equipment to detect the hazard and notify driver before the collision. However, research to improve passenger safety in case of an accident by using the sensor of active safety represented by ADAS in the existing passive safety is limited to the level that utilizes the sudden braking level of the FCA (Forward Collision-avoidance Assist) system. Therefore, this study aims to develop logic that can improve passenger protection in case of an accident by using ADAS information and driving information secured before a collision. The proposed logic was constructed based on LSTM deep learning techniques and trained using crash test data.

Predicting the seismic behavior of torsionally-unbalanced RC building using resistance eccentricity

  • Abegaz, Ruth A.;Kim, In-Ho;Lee, Han Seon
    • Structural Engineering and Mechanics
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    • 제83권1호
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    • pp.1-17
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    • 2022
  • The static design approach in the current code implies that the inherent torsional moment represents the state of zero inertial torsional moments at the center of mass (CM). However, both experimental and analytical results prove the existence of a large amount of the inertial torsional moment at the CM. Also, the definition of eccentricity by engineers, which is referred to as the resistance eccentricity, is defined as the distance between the center of mass and the center of resistance, which is conceptually different from the static eccentricity in the current codes, defined as the arm length about the center of rotation. The difference in the definitions of eccentricity should be made clear to avoid confusion about the torsion design. This study proposed prediction equations as a function of resistance eccentricity based on a resistance eccentricity model with advantages of (1) the recognition of the existence of torsional moment at the CM, (2) the avoidance of the confusion by using resistance eccentricity instead of the design eccentricity, and (3) a clear relationship of applied inertial forces at the CM and resisting forces. These predictions are compared with the seismic responses obtained from time-history analyses of a five-story building structure under moderate and severe earthquakes. Then, the trend of the resistance eccentricity corresponding to the maximum edge drift is investigated for elastic and inelastic responses. The comparison given in this study shows that these prediction equations can serve as a useful reference for the prediction in both the elastic and the inelastic ranges.

Concurrency Conflicts Resolution for IoT Using Blockchain Technology

  • Morgan, Amr;Tammam, Ashraf;Wahdan, Abdel-Moneim
    • International Journal of Computer Science & Network Security
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    • 제21권7호
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    • pp.331-340
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    • 2021
  • The Internet of Things (IoT) is a rapidly growing physical network that depends on objects, vehicles, sensors, and smart devices. IoT has recently become an important research topic as it autonomously acquires, integrates, communicates, and shares data directly across each other. The centralized architecture of IoT makes it complex to concurrently access control them and presents a new set of technological limitations when trying to manage them globally. This paper proposes a new decentralized access control architecture to manage IoT devices using blockchain, that proposes a solution to concurrency management problems and enhances resource locking to reduce the transaction conflict and avoids deadlock problems. In addition, the proposed algorithm improves performance using a fully distributed access control system for IoT based on blockchain technology. Finally, a performance comparison is provided between the proposed solution and the existing access management solutions in IoT. Deadlock detection is evaluated with the latency of requesting in order to examine various configurations of our solution for increasing scalability. The main goal of the proposed solution is concurrency problem avoidance in decentralized access control management for IoT devices.

고정익 소형무인기 군집비행을 위한 분산형 유도 알고리듬 설계 (Design of Decentralized Guidance Algorithm for Swarm Flight of Fixed-Wing Unmanned Aerial Vehicles)

  • 정준호;명현삼;김도완;임흥식
    • 한국항공우주학회지
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    • 제49권12호
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    • pp.981-988
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    • 2021
  • 본 논문에서는 다수 고정익 소형무인기 군집비행을 위한 분산형 유도 알고리듬 설계를 다룬다. 군집비행을 통한 임무 수행을 위해서 각 무인기들은 집결, 선회, 경로점, 개별 비행 등의 기동이 필요하다. 이를 위해서는 경로 추종, 떼비행, 충돌 회피가 요구된다. 본 논문에서는 상기 기동들을 수행하기 위해 벡터필드(경로 추종), 증강 쿠커-스메일 모델(떼비행), 포텐셜 필드(충돌 회피) 기법들을 활용한 통합 유도 알고리듬을 제안한다. 통합 유도 명령 생성을 위해 각 기법에서 생성된 유도 명령을 가중치에 따라 혼합할 수 있게 설계하며, 19대의 소형 고정익 무인기를 이용한 비행시험을 통해 제안한 군집 유도 알고리듬의 성능을 확인하였다.

A TBM tunnel collapse risk prediction model based on AHP and normal cloud model

  • Wang, Peng;Xue, Yiguo;Su, Maoxin;Qiu, Daohong;Li, Guangkun
    • Geomechanics and Engineering
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    • 제30권5호
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    • pp.413-422
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    • 2022
  • TBM is widely used in the construction of various underground projects in the current world, and has the unique advantages that cannot be compared with traditional excavation methods. However, due to the high cost of TBM, the damage is even greater when geological disasters such as collapse occur during excavation. At present, there is still a shortage of research on various types of risk prediction of TBM tunnel, and accurate and reliable risk prediction model is an important theoretical basis for timely risk avoidance during construction. In this paper, a prediction model is proposed to evaluate the risk level of tunnel collapse by establishing a reasonable risk index system, using analytic hierarchy process to determine the index weight, and using the normal cloud model theory. At the same time, the traditional analytic hierarchy process is improved and optimized to ensure the objectivity of the weight values of the indicators in the prediction process, and the qualitative indicators are quantified so that they can directly participate in the process of risk prediction calculation. Through the practical engineering application, the feasibility and accuracy of the method are verified, and further optimization can be analyzed and discussed.