Impacts of different thermal modes of multiple obstacles on the hydrothermal analysis of Fe 3 O 4 –water nanofluid enclosed inside a nonuniformly heated cavity

Heat Transfer ◽  
2021 ◽  
Author(s):  
Nilankush Acharya
Keyword(s):  

Heliyon ◽  
2020 ◽  
Vol 6 (12) ◽  
pp. e05752
Author(s):  
N. Vishnu Ganesh ◽  
Shumaila Javed ◽  
Qasem M. Al-Mdallal ◽  
R. Kalaivanan ◽  
Ali J. Chamkha


2021 ◽  
Vol 11 (9) ◽  
pp. 3909
Author(s):  
Changhyeon Park ◽  
Seok-Cheol Kee

In this paper, an urban-based path planning algorithm that considered multiple obstacles and road constraints in a university campus environment with an autonomous micro electric vehicle (micro-EV) is studied. Typical path planning algorithms, such as A*, particle swarm optimization (PSO), and rapidly exploring random tree* (RRT*), take a single arrival point, resulting in a lane departure situation on the high curved roads. Further, these could not consider urban-constraints to set collision-free obstacles. These problems cause dangerous obstacle collisions. Additionally, for drive stability, real-time operation should be guaranteed. Therefore, an urban-based online path planning algorithm, which is robust in terms of a curved-path with multiple obstacles, is proposed. The algorithm is constructed using two methods, A* and an artificial potential field (APF). To validate and evaluate the performance in a campus environment, autonomous driving systems, such as vehicle localization, object recognition, vehicle control, are implemented in the micro-EV. Moreover, to confirm the algorithm stability in the complex campus environment, hazard scenarios that complex obstacles can cause are constructed. These are implemented in the form of a delivery service using an autonomous driving simulator, which mimics the Chungbuk National University (CBNU) campus.



2021 ◽  
Vol 1791 (1) ◽  
pp. 012055
Author(s):  
Y Y Nefedov
Keyword(s):  


2021 ◽  
pp. 1-12
Author(s):  
Lauro Reyes-Cocoletzi ◽  
Ivan Olmos-Pineda ◽  
J. Arturo Olvera-Lopez

The cornerstone to achieve the development of autonomous ground driving with the lowest possible risk of collision in real traffic environments is the movement estimation obstacle. Predicting trajectories of multiple obstacles in dynamic traffic scenarios is a major challenge, especially when different types of obstacles such as vehicles and pedestrians are involved. According to the issues mentioned, in this work a novel method based on Bayesian dynamic networks is proposed to infer the paths of interest objects (IO). Environmental information is obtained through stereo video, the direction vectors of multiple obstacles are computed and the trajectories with the highest probability of occurrence and the possibility of collision are highlighted. The proposed approach was evaluated using test environments considering different road layouts and multiple obstacles in real-world traffic scenarios. A comparison of the results obtained against the ground truth of the paths taken by each detected IO is performed. According to experimental results, the proposed method obtains a prediction rate of 75% for the change of direction taking into consideration the risk of collision. The importance of the proposal is that it does not obviate the risk of collision in contrast with related work.



Author(s):  
Shreyas Punacha ◽  
Sebastian Berg ◽  
Anupama Sebastian ◽  
Valentin I. Krinski ◽  
Stefan Luther ◽  
...  

Rotating spiral waves of electrical activity in the heart can anchor to unexcitable tissue (an obstacle) and become stable pinned waves. A pinned rotating wave can be unpinned either by a local electrical stimulus applied close to the spiral core, or by an electric field pulse that excites the core of a pinned wave independently of its localization. The wave will be unpinned only when the pulse is delivered inside a narrow time interval called the unpinning window (UW) of the spiral. In experiments with cardiac monolayers, we found that other obstacles situated near the pinning centre of the spiral can facilitate unpinning. In numerical simulations, we found increasing or decreasing of the UW depending on the location, orientation and distance between the pinning centre and an obstacle. Our study indicates that multiple obstacles could contribute to unpinning in experiments with intact hearts.



2021 ◽  
Author(s):  
Alicia Ryan

Childbirth has been a part of our lives since the beginning of time. Without the process none of us would be alive today. So why is it that maternal mortality remains one of the greatest inequities in the world? To date, approximately 500, 000 women die annually due to the lack of appropriate prenatal and obstetric care. Difficulties arising with childbirth cannot be predicted. However, the way in which we react to a situation can have a lasting, positive effect on the countries and the women who are at risk. The ways in which to help reduce the large number of maternal deaths in developing countries is not complicated and can be achieved if it is made a priority. In conclusion, there are multiple obstacles in regard to succeeding the highest achievable standard of health globally.  With the education of evolving scientific methods, and the collaboration of humanitarian views, the welfare and health of women and their children, can be internationally restored. With the education of evolving scientific methods, and the collaboration of humanitarian views, the welfare and health of women and their children, can be internationally restored.



2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S803-S804
Author(s):  
Catherine J Tompkins

Abstract The role of a caregiver often goes beyond the task of caring for someone who is dependent in managing activities of daily living. Children are dependent on others to care for them due solely to their age and maturity; others are dependent due to chronic ailments or short-term disabilities. Regardless of why someone is dependent, the caregiving relationship is complex. This paper focuses on a grounded theory, developed and applied to understand the complexities of kinship caregiving. The literature continues to support the identified needs of kinship caregivers (Tompkins, 2015; Lee, Clarkson-Hendrix, & Lee, 2016). To understand the unique needs of kinship families, the following grand tour question was asked: What is it like for you to live within a kinship caregiving household? The theory was developed over several years based on observational data and 15 interviews with grandparent caregivers and at least one of the grandchildren they were raising. The theory, Surviving the Complexity, is a survival process of taking on the caregiving role and doing one’s best in spite of multiple obstacles. Surviving the complexity consists of three stages: rescuing, taking-on and role reversal. The theory identifies and explains emotional, relationship and situational complexity within kinship families. Hope and denial are factors of emotional complexity: “It’s not that she (my daughter) does not love him (the child), she is just unable to right now. She will get better.” Theory development and further application of the theory will be discussed.



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