Situational influences on response time and maneuver choice: Development of time-critical scenarios

Recently, various technologies for utilizing unmanned aerial vehicles have been studied. Drones are a kind of unmanned aerial vehicle. Drone-based mobile surveillance systems can be applied for various purposes such as object recognition or object tracking. In this paper, we propose a mobility-aware dynamic computation offloading scheme, which can be used for tracking and recognizing a moving object on the drone. The purpose of the proposed scheme is to reduce the time required for recognizing and tracking a moving target object. Reducing recognition and tracking time is a very important issue because it is a very time critical job. Our dynamic computation offloading scheme considers both the dwell time of the moving target object and the network failure rate to estimate the response time accurately. Based on the simulation results, our dynamic computation offloading scheme can reduce the response time required for tracking the moving target object efficiently.

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A Task Scheduling Approach for Cloud Environments Employing Evolutionary Algorithms

Journal of Scientific Research ◽

10.3329/jsr.v13i2.49944 ◽

2021 ◽

Vol 13 (2) ◽

pp. 423-438

Author(s):

B. Lakhani ◽

A. Agrawal

Keyword(s):

Evolutionary Algorithms ◽

Response Time ◽

Task Scheduling ◽

Gradient Descent ◽

Virtual Machines ◽

Sufficient Information ◽

Swarm Optimization ◽

Cloud Environments ◽

Time Critical ◽

Cloud Resources

One of the key challenges in the domain of cloud computing is task scheduling and estimation of cloud workloads for time critical applications pertaining to constrained cloud resources. While effective task scheduling is necessary for balancing the load, workload forecasting is necessary to plan in advance the requirements of cloud platforms based on previous data so as to effectively utilize cloud resources. Often it is challenging to gather sufficient information about the tasks and hence allocating the tasks to virtual machines (VMs) in the most optimal way is non-trivial. In this paper, a hybrid task scheduling approach is proposed based on evolutionary algorithms. The first approach is the amalgamation of bat and particle swarm optimization (PSO) techniques. The scheduling approach also combines the processing time preemption (PTP) approach to schedule the source intensive tasks which allows to reduce the response time of the proposed system. The second approach is a machine learning based approach employing gradient descent with momentum (GDM). The evaluation of the proposed system has been done based on the response time and mean square error of the system.

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Mechanisms to Improve Response Time for Time-Critical Aperiodic Traffic within FIP Fieldbus

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)43251-4 ◽

1997 ◽

Vol 30 (7) ◽

pp. 125-130

Author(s):

Fàtima Pasadas ◽

Carlos Cardeira ◽

Zoubir Mammeri

Keyword(s):

Response Time ◽

Time Critical

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Improving response time in time critical Visual Sensor Network applications

Ad Hoc Networks ◽

10.1016/j.adhoc.2014.06.003 ◽

2014 ◽

Vol 23 ◽

pp. 65-79 ◽

Cited By ~ 6

Author(s):

Emad Felemban ◽

Adil A. Sheikh ◽

Muhammad Asif Manzoor

Keyword(s):

Response Time ◽

Sensor Network ◽

Visual Sensor ◽

Visual Sensor Network ◽

Network Applications ◽

Time Critical

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Assessing General Ecological Behavior

European Journal of Psychological Assessment ◽

10.1027//1015-5759.16.1.44 ◽

2000 ◽

Vol 16 (1) ◽

pp. 44-52 ◽

Cited By ~ 31

Author(s):

Florian G. Kaiser ◽

Anders Biel

Keyword(s):

Internal Consistency ◽

Cross Cultural ◽

Questionnaire Data ◽

Situational Influences ◽

Behavior Difficulties ◽

Differential Behavior ◽

Ecological Behavior ◽

Political Actions ◽

Measurement Approach

Summary: The General Ecological Behavior (GEB) scale was developed for cross-cultural applications ( Kaiser & Wilson, in press ). The present study compares ecological behavior in Sweden and Switzerland. Questionnaire data from 247 Swedish and 445 Swiss participants are presented. Reliability and internal consistency analyses revealed that the GEB scale was applicable to both the Swedish and Swiss samples. In general, Swiss behave more ecologically than Swedes. Nevertheless, several ecological behaviors turned out to be easier to conduct in Sweden than in Switzerland and vice versa. The GEB scale takes differential behavior difficulties into account that are most likely caused by situational influences. At the same time, the proposed behavior measurement approach guides the search for potentially useful political actions that make it easier for people to behave ecologically in some societies and, thus, can be adopted by others.

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Temporal Prediction Errors Affect Short-Term Memory Scanning Response Time

Experimental Psychology (formerly Zeitschrift für Experimentelle Psychologie) ◽

10.1027/1618-3169/a000339 ◽

2016 ◽

Vol 63 (6) ◽

pp. 333-342

Author(s):

Roberto Limongi ◽

Angélica M. Silva

Keyword(s):

Response Time ◽

Short Term Memory ◽

Estimation Error ◽

Predictive Coding ◽

Time Estimation ◽

Prediction Errors ◽

Memory Scanning ◽

Short Term ◽

Term Memory ◽

Temporal Prediction

Abstract. The Sternberg short-term memory scanning task has been used to unveil cognitive operations involved in time perception. Participants produce time intervals during the task, and the researcher explores how task performance affects interval production – where time estimation error is the dependent variable of interest. The perspective of predictive behavior regards time estimation error as a temporal prediction error (PE), an independent variable that controls cognition, behavior, and learning. Based on this perspective, we investigated whether temporal PEs affect short-term memory scanning. Participants performed temporal predictions while they maintained information in memory. Model inference revealed that PEs affected memory scanning response time independently of the memory-set size effect. We discuss the results within the context of formal and mechanistic models of short-term memory scanning and predictive coding, a Bayes-based theory of brain function. We state the hypothesis that our finding could be associated with weak frontostriatal connections and weak striatal activity.

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