This work aims to create desktop applications to enable virtual access and control to prominent lab equipment like signal generators, oscilloscopes, spectrum analyzers, etc. The developed applications utilize PyQt5 an...
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The vision of Industry 4.0 relies on advancements in wireless solutions;cell-free Massive Multiple Input Multiple Output (cf-mMIMO) is emerging as a promising physical layer technology for fifth-generation (5G) and be...
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ISBN:
(纸本)9798350309492;9798350309485
The vision of Industry 4.0 relies on advancements in wireless solutions;cell-free Massive Multiple Input Multiple Output (cf-mMIMO) is emerging as a promising physical layer technology for fifth-generation (5G) and beyond 5G technologies. However, industrial applications often demand varied and conflicting Quality-of-Service (QoS) requirements, and finding an optimal and scalable resource allocation strategy is challenging. This paper proposes a novel user association and power control algorithm to minimize the overall uplink (UL) transmit power while ensuring a given spectral efficiency (SE) requirement. The proposed solution identifies the best schedulable users to maximize the number of satisfied users without relying on instantaneous channel state information. Moreover, it adopts a game theory-based power control algorithm to minimize the total uplink power while ensuring the spectral efficiency requirement. Numerical results have shown significant gains in the number of satisfied users. A maximum gain of up to 15% is observed for a low SE requirement (0.25 bits/s/Hz), increasing to 50% for a SE requirement of 0.75 bits/s/Hz. Furthermore, the proposed solution has shown great adaptability to varying requirements with respect to state-of-the-art schemes.
This paper presents the design and implementation of Scribe AI, a cost-effective robotic handwriting system controlled by a Raspberry Pi Pico microcontroller. Utilizing a 3D-printed plastic framework and lead screw me...
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ISBN:
(纸本)9798331506674;9798331506667
This paper presents the design and implementation of Scribe AI, a cost-effective robotic handwriting system controlled by a Raspberry Pi Pico microcontroller. Utilizing a 3D-printed plastic framework and lead screw mechanics, the system controls a real pencil to produce handwritten text. By employing affordable materials and simplified mechanical components, the system reduces the cost to approximately $56 per unit while maintaining high accuracy in handwriting replication. Experimental results demonstrate that the system achieves handwriting precision within +/- 0.3 millimeters, making it a viable solution for applications requiring personalized handwriting production.
Inspired by the fine-tuned ionic transport across biological nanochannels, two-dimensional atomically thin graphene nanopores are designed as micro-electromechanical system (MEMS) iontronic devices to study the ionic ...
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In the context of extremely low-speed operation, where velocities are at their absolute minimum, sensorless technology encounters additional losses and delays in position estimation when controlling permanent magnet s...
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A substantial proportion of ways controlling small smart cars such as wireless remote control and mobile phone remote control are achieved through manual controlling the cars. This paper proposes a smart car control s...
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In this paper, a single-phase current source inverter (CSI) is proposed for standalone applications, leveraging its intrinsic boost capability for a single-stage power conversion. While the existing literature reports...
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An MPC (Model Predictive control) technique is proposed to manage the adaptive control structure of the dc microgrid using boost converters to interface with common DC link bus voltage. MPC is an intelligent control m...
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This research paper focuses on the integration of Very Large Scale Integration (VLSI) technology with traditional Proportional-Integral-Derivative (PID) controllers to improve temperature control in electronic devices...
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Light Detection and Ranging (LIDAR)-assisted Model Predictive control (MPC) for wind turbine control has received much attention for its ability to incorporate future wind speed disturbance information in a receding h...
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