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Multi-tasking Robot Using Microcontroller for Agriculture
Agriculture is a field where automation is becoming increasingly prevalent, particularly in India. Traditional methods of manual sowing can be...
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Multi-tasking atrous convolutional neural network for machinery fault identification
As fault identification algorithms for rotating machinery based on deep learning are develo** rapidly, convolutional neural networks (CNNs) have...
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Situation Awareness, Multi-tasking and Distraction
In this chapter, we analyse the different levels of control involved in driving. Furthermore, we discuss the concept of situation awareness....
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Two-stage multi-tasking transform framework for large-scale many-objective optimization problems
Real-world optimization applications in complex systems always contain multiple factors to be optimized, which can be formulated as multi-objective...
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Resource Allocation for Multi-tasking Optimization: Explanation of an Empirical Formula
For multi-tasking optimization problems, it has been empirically shown that the most effective resource allocation is attained when we assume that...
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Multi-task evolutionary optimization of multi-echelon location routing problems via a hierarchical fuzzy graph
Multi-echelon location-routing problems (ME-LRPs) deal with determining the location of facilities and the routes of vehicles on multi-echelon...
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Towards a New Multi-tasking Learning Approach for Human Fall Detection
Many fall detection systems are being used to provide real-time responses to fall occurrences. Automated fall detection is challenging because it...
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A Fast Multi-tasking Solution: NMF-Theoretic Co-clustering for Gear Fault Diagnosis under Variable Working Conditions
Most gear fault diagnosis (GFD) approaches suffer from inefficiency when facing with multiple varying working conditions at the same time. In this...
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Stress Measurement in Multi-tasking Decision Processes Using Executive Functions Analysis
The presented work aimed to investigate how the impact of cognitive stress would affect the attentional processes, in particular, the performance of...
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Effects of increased cognitive load on field of view in multi-task operations involving surveillance
Many multi-task operations require human operators to simultaneously perform visual surveillance and a secondary task. As the trend in the...
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A Multi-task Oriented Optimization Method for Urban Rail Overhaul Workflow Based on Critical Chain Method
With the expansion of the urban rail network scale, multi-tasking is becoming an inevitable trend. However, the Linear method of the workflow is...
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Adapting a Real-Time Operating System to the RISC-V Based ESP32
In the domain of embedded and real-time systems, the need to adapt existing real-time operating systems (RTOS) to the RISC-V architecture becomes...
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Multi-objective Task Assignment and Autonomous Approach Research Based on Multiple Unmanned Vehicles
To explore the decision optimization strategy of multiple unmanned ground vehicles (UGVs) for multi-objective tasks in a ground-air cross-domain...
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In-Process Sensing, Monitoring and Adaptive Control for Intelligent Laser-Aided Additive Manufacturing
As one of the key technologies of Industry 4.0, additive manufacturing (AM) has been gaining rapid momentum in R&D and industry applications....
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Multi-task Offloading to a MEC Server with Energy and Delay Constraint
Nowadays, due to the large number of connected smartphones, mobile wireless communications have increased exponentially. Mobile Edge computing allows...
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A Practitioner’s Guide to Evaluating Distraction Potential of In-Vehicle Voice Assistants
The carCars is a unique environment with primary consequences of digital and physical multi-tasking interactions including eyes off roadRoads and...
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You Draft We Complete: A BERT-Based Article Generation by Keyword Supplement
In this paper, we investigate a text generation scenario that we are given a sequence of keywords and our goal is to automatically turn the sequence...
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Tasking, Teaming, Swarming: Design Patterns for Human Delegation of Unmanned Vehicles
In this article we discuss the distinction between human delegation modes of single and multiple unmanned vehicles (UV). To describe the co-agency of...
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Multiple Heterogeneous Sensor Tasking Optimization in the Absence of Measurement Feedback
Observations of resident space objects generated by sensors are the primary method of maintaining knowledge of the object states. With the increasing...
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Evolution of biocoenosis through symbiosis with fitness approximation for many-tasking optimization
Memetic computing is a blooming research area, which treats memes as the fundamental building blocks of information transfer. Evolutionary...
