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Hysteretic Controlled Dc-Dc Converters, Shweta Chauhan
Hysteretic Controlled Dc-Dc Converters, Shweta Chauhan
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Switched-mode DC-DC converters are widely used in applications requiring step-up and step-down of DC voltages or currents. These converters find their use in portable applications such as laptops and smart phones, radio-frequency power amplifiers, as light emitting diode (LED) drivers, etc. The power converters consist of a switching network, energy storage elements such as inductors and capacitors, and a load resistor. Transformers are used in converters, which require isolation. The switching network comprises of MOSFETs and diodes. With improvement in the VLSI technology, smaller MOSFETs with increased power handling capability are pushing the speed of operation of these power converters …
Improving Motion Imagery Analysis: Investigating Detection Failures, Remembering To Perform Deferred Intentions, Michael R. Nickels
Improving Motion Imagery Analysis: Investigating Detection Failures, Remembering To Perform Deferred Intentions, Michael R. Nickels
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Advances in automation have led to an increased prevalence of human multitasking in intelligence, surveillance, and reconnaissance operations. Despite advancements in computer-vision research, almost all video data collected must be processed by human analysts. Traditionally, analysts are plagued with the presence and possible overabundance of interruptions that fundamentally leads to multitasking while processing video data. It is currently unknown what factors influence decision making in completing primary tasks or handling interruptions. In this study, we investigated the performance effects and the resulting design implications of varying the number of concurrent prospective memory tasks and encoding of one large group of …
A Theoretical Adaptive Autonomy Model: Real-Time Physiological Assessment Of Cognitive Workload, Dakota C. Evans
A Theoretical Adaptive Autonomy Model: Real-Time Physiological Assessment Of Cognitive Workload, Dakota C. Evans
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Increases in modern-day system complexity, has led for a need to improve human performance and the interaction between the two. Three objectives: (1) to investigate physiological measures as indicators of cognitive workload, (2) to assess cognitive workload during human interaction with different autonomy levels, and (3) to develop a theoretical model for an adaptive autonomous system that changes with real-time cognitive workload measures were addressed. This effort seeks to improve human computer interaction by providing the human with the acceptable level of computer automation based on real-time cognitive state. Two experiments involved collection of measures of subject physiology, subjective survey …