Simple Task Implementation of Swarm Robotics in Underwater

2019 ◽  
pp. 1138-1145
Author(s):  
K. Vengatesan ◽  
Abhishek Kumar ◽  
Vaibhav Tarachand Chavan ◽  
Saiprasad Macchindra Wani ◽  
Achintya Singhal ◽  
...  
Keyword(s):  
Swarm Robotics ◽  
Simple Task

The Unlearnable Checkerboard Pattern

2019 ◽  
Vol 1 (2) ◽  
pp. 78-80
Author(s):  
Eric Holloway
Keyword(s):  
Machine Learning ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Checkerboard Pattern ◽  
Simple Task

Detecting some patterns is a simple task for humans, but nearly impossible for current machine learning algorithms.  Here, the "checkerboard" pattern is examined, where human prediction nears 100% and machine prediction drops significantly below 50%.

The More, the Merrier? Roles of Device-Student Ratio in Collaborative Inquiries and Its Interactions With External Scripts and Task Complexity

2021 ◽  
pp. 073563312110107
Author(s):  
Cixiao Wang ◽  
Huixiao Le
Keyword(s):  
Conceptual Understanding ◽  
Repeated Measures ◽  
Task Complexity ◽  
Mainland China ◽  
Fifth Grade ◽  
Learning Context ◽  
Simple Task ◽  
Fifth Grade Students ◽  
Main Effect ◽  
The Relationship

In collaborative learning, the intuition “the more device, the merrier” is somehow widely acknowledged, but little research has investigated the relationship between device-student ratio and the learning outcome. This study aims to investigate not only the main effect of different device-student ratio, also to identify the moderators in the learning context including task complexity, external script availability and students’ familiarity to the collaboration settings. A three-round quasi-experiment was conducted in a primary school in mainland China, 130 fifth-grade students from four classes participated. Group worksheet including conceptual understanding and problem-solving tasks were used to collect participants’ inquiry performance. Repeated measures ANOVA was employed in data analysis. Findings indicate that 1:m device-student ratio could be beneficial, and external scripts, and prior collaboration experience could moderate such effect. The different effect of 1:m device-student ratio to 1:1 is only significant in the situation when students are faced with relatively simple task, and the effect size is larger when external script is present. When the task is more complicated, such effect of device-student ratio would only emerge after a period of collaboration. This finding challenged the intuition that one-to-one device-student ratio could be better. Related discussions and recommendations to teaching were made.

Capturing the swarm intelligence in truckers: The foundation analysis for future swarm robotics in road freight

2021 ◽  
Vol 62 ◽  
pp. 100845
Author(s):  
Mi Gan ◽  
Qiujun Qian ◽  
Dandan Li ◽  
Yi Ai ◽  
Xiaobo Liu
Keyword(s):  
Swarm Intelligence ◽  
Swarm Robotics ◽  
Road Freight

scholarly journals Using Virtual Reality in Sea Level Rise Planning and Community Engagement—An Overview

Water ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1142
Author(s):  
Juliano Calil ◽  
Geraldine Fauville ◽  
Anna Carolina Muller Queiroz ◽  
Kelly L. Leo ◽  
Alyssa G. Newton Mann ◽  
...  
Keyword(s):  
Climate Change ◽  
Virtual Reality ◽  
Sea Level Rise ◽  
Sea Level ◽  
Community Outreach ◽  
Coastal Communities ◽  
Coastal Hazards ◽  
Multidisciplinary Teams ◽  
Simple Task ◽  
Coastal Risks

As coastal communities around the globe contend with the impacts of climate change including coastal hazards such as sea level rise and more frequent coastal storms, educating stakeholders and the general public has become essential in order to adapt to and mitigate these risks. Communicating SLR and other coastal risks is not a simple task. First, SLR is a phenomenon that is abstract as it is physically distant from many people; second, the rise of the sea is a slow and temporally distant process which makes this issue psychologically distant from our everyday life. Virtual reality (VR) simulations may offer a way to overcome some of these challenges, enabling users to learn key principles related to climate change and coastal risks in an immersive, interactive, and safe learning environment. This article first presents the literature on environmental issues communication and engagement; second, it introduces VR technology evolution and expands the discussion on VR application for environmental literacy. We then provide an account of how three coastal communities have used VR experiences developed by multidisciplinary teams—including residents—to support communication and community outreach focused on SLR and discuss their implications.

Analysis of Task Difficulty under Varying Conditions of Induced Stress

1970 ◽  
Vol 31 (2) ◽  
pp. 343-348 ◽  
Author(s):  
Jerry W. Thornton ◽  
Paul D. Jacobs
Keyword(s):  
Reaction Time ◽  
Choice Reaction Time ◽  
Reaction Time Task ◽  
Simple Reaction Time Task ◽  
Simple Task ◽  
Practical Applications ◽  
Time Task ◽  
Significant Difference ◽  
Task Relatedness ◽  
Related Stress

Two tasks (simple and choice reaction time) were examined while varying three types of stressors (shock, threat of shock, and noise) and the stressor task relationship (i.e., task-related stress, task-unrelated stress, and no-stress). Four specific hypotheses were tested and 3 were supported in the simple reaction-time task. There were no significant differences among stressors for either task, although greater differences were reported in the simple than in the choice reaction-time task. A significant difference between the “task-relatedness” of stress levels in the simple task was interpreted as possibly due to a “coping” or “protective adaptive mechanism” in which increases in performance serve to reduce stress. Practical applications were examined.

Observational Effects on the Food Preferences of Children With Autism Spectrum Disorder

2020 ◽  
pp. 108835762095436
Author(s):  
Joseph H. Cihon ◽  
Mary Jane Weiss ◽  
Julia L. Ferguson ◽  
Justin B. Leaf ◽  
Thomas Zane ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Observational Learning ◽  
Food Preferences ◽  
Autism Spectrum ◽  
Food Selectivity ◽  
Spectrum Disorder ◽  
Simple Task ◽  
Learning Procedure ◽  
Reversal Design ◽  
Selection Of

Research addressing food selectivity has involved intrusive techniques such as escape extinction. It is possible that observational learning methods employed in previous studies could provide the desired results with respect to food selectivity without the need for invasive physical interventions. The purpose of this study was to evaluate the effectiveness of an observational learning procedure on the selection of food items of three children diagnosed with autism spectrum disorder. Baseline consisted of a simple task after which a choice was presented between high- and low-preferred foods. The intervention consisted of observing an adult engage in the same task and selecting the low-preferred food while making favorable comments and engaging with the food in novel ways. The results of a reversal design demonstrated that selection of the low-preferred food only occurred following the introduction of the intervention, and all three participants engaged in flexible responding as a result of the intervention.

scholarly journals A Statistical Model for Assessing Sample Size for Bacterial Colony Selection: A Case Study of Escherichia Coli and Avian Cellulitis

2000 ◽  
Vol 12 (2) ◽  
pp. 118-125 ◽  
Author(s):  
Randall S. Singer ◽  
Wesley O. Johnson ◽  
Joan S. Jeffrey ◽  
Richard P. Chin ◽  
Tim E. Carpenter ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Statistical Model ◽  
Clinical Sample ◽  
Agar Plate ◽  
Sample Sizes ◽  
Simple Task ◽  
Single Strain ◽  
Bacterial Colony ◽  
E Coli

A general problem for microbiologists is determining the number of phenotypically similar colonies growing on an agar plate that must be analyzed in order to be confident of identifying all of the different strains present in the sample. If a specified number of colonies is picked from a plate on which the number of unique strains of bacteria is unknown, assigning a probability of correctly identifying all of the strains present on the plate is not a simple task. With Escherichia coli of avian cellulitis origin as a case study, a statistical model was designed that would delineate sample sizes for efficient and consistent identification of all the strains of phenotypically similar bacteria in a clinical sample. This model enables the microbiologist to calculate the probability that all of the strains contained within the sample are correctly identified and to generate probability-based sample sizes for colony identification. The probability of cellulitis lesions containing a single strain of E. coli was 95.4%. If one E. coli strain is observed out of three colonies randomly selected from a future agar plate, the probability is 98.8% that only one strain is on the plate. These results are specific for this cellulitis E. coli scenario. For systems in which the number of bacterial strains per sample is variable, this model provides a quantitative means by which sample sizes can be determined.

Reading words: Simple task, complex story.

1983 ◽  
Vol 37 (3) ◽  
pp. 450-453
Author(s):  
Mark S. Seidenberg
Keyword(s):  
Simple Task
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