scholarly journals Development status of a power processing unit for low power ion thrusters

2000 ◽  
Author(s):  
Luis Pinero ◽  
Glen Bowers ◽  
Eric Lafontaine
Keyword(s):  
Low Power ◽  
Processing Unit ◽  
Development Status ◽  
Ion Thrusters

Real-time, High-resolution Depth Upsampling on Embedded Accelerators

2021 ◽  
Vol 20 (3) ◽  
pp. 1-22
Author(s):  
David Langerman ◽  
Alan George
Keyword(s):  
High Resolution ◽  
Low Power ◽  
Real Time ◽  
Mixed Reality ◽  
Graphics Processing Unit ◽  
Processing Unit ◽  
Reconfigurable Logic ◽  
Depth Sensors ◽  
Time Requirements ◽  
Graphics Processing

High-resolution, low-latency apps in computer vision are ubiquitous in today’s world of mixed-reality devices. These innovations provide a platform that can leverage the improving technology of depth sensors and embedded accelerators to enable higher-resolution, lower-latency processing for 3D scenes using depth-upsampling algorithms. This research demonstrates that filter-based upsampling algorithms are feasible for mixed-reality apps using low-power hardware accelerators. The authors parallelized and evaluated a depth-upsampling algorithm on two different devices: a reconfigurable-logic FPGA embedded within a low-power SoC; and a fixed-logic embedded graphics processing unit. We demonstrate that both accelerators can meet the real-time requirements of 11 ms latency for mixed-reality apps. 1

scholarly journals Design of Power Efficient 32-Bit Processing Unit

2018 ◽  
Vol 7 (2.16) ◽  
pp. 52
Author(s):  
Dharmavaram Asha Devi ◽  
Chintala Sandeep ◽  
Sai Sugun L
Keyword(s):  
Low Power ◽  
System Design ◽  
Power Analysis ◽  
Low Power Design ◽  
Design Flow ◽  
Processing Unit ◽  
Verilog Hdl ◽  
Power Efficient ◽  
Front End ◽  
Verification Process

The proposed paper is discussed about the design, verification and analysis of a 32-bit Processing Unit.  The complete front-end design flow is processed using Xilinx Vivado System Design Suite software tools and target verification is done by using Artix 7 FPGA. Virtual I/O concept is used for the verification process. It will perform 32 different operations including parity generation and code conversions: Binary to Grey and Grey to Binary. It is a low power design implemented with Verilog HDL and power analysis is implementedwith clock frequencies ranging from 10MhZ to 100GhZ. With all these frequencies, power analysis is verified for different I/O standards LVCMOS12, LVCMOS25 and LVCMOS33.  

scholarly journals An NB-IoT-Based Edge-of-Things Framework for Energy-Efficient Image Transfer

Sensors ◽  
2021 ◽  
Vol 21 (17) ◽  
pp. 5929
Author(s):  
Sikandar Zulqarnain Khan ◽  
Yannick Le Moullec ◽  
Muhammad Mahtab Alam
Keyword(s):  
Machine Learning ◽  
Energy Consumption ◽  
Low Power ◽  
Data Transmission ◽  
Energy Efficient ◽  
Transmission Time ◽  
Processing Unit ◽  
Image Transfer ◽  
Visual Data ◽  
Smart Gateway

Machine Learning (ML) techniques can play a pivotal role in energy efficient IoT networks by reducing the unnecessary data from transmission. With such an aim, this work combines a low-power, yet computationally capable processing unit, with an NB-IoT radio into a smart gateway that can run ML algorithms to smart transmit visual data over the NB-IoT network. The proposed smart gateway utilizes supervised and unsupervised ML algorithms to optimize the visual data in terms of their size and quality before being transmitted over the air. This relaxes the channel occupancy from an individual NB-IoT radio, reduces its energy consumption and also minimizes the transmission time of data. Our on-field results indicate up to 93% reductions in the number of NB-IoT radio transmissions, up to 90.5% reductions in the NB-IoT radio energy consumption and up to 90% reductions in the data transmission time.

scholarly journals A Hardware Approach of a Low-Power IoT Communication Interface by NXP FlexIO Module

2019 ◽  
Vol 25 (6) ◽  
pp. 35-39
Author(s):  
Libor Chrastecky ◽  
Jaromir Konecny ◽  
Martin Stankus ◽  
Michal Prauzek
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Total Power ◽  
Processing Unit ◽  
Embedded Devices ◽  
Communication Interface ◽  
Result Section ◽  
Central Processing ◽  
Total Power Consumption ◽  
Software And Hardware

This article describes implementation possibilities of specialized microcontroller peripherals, as hardware solution for Internet of Things (IoT) low-power communication, interfaces. In this contribution, authors use the NXP FlexIO periphery. Meanwhile, RFC1662 is used as a reference communication standard. Implementation of RFC1662 is performed by software and hardware approaches. The total power consumption is measured during experiments. In the result section, authors evaluate a time-consumption trade-off between the software approach running in Central Processing Unit (CPU) and hardware implementation using NXP FlexIO periphery. The results confirm that the hardware-based approach is effective in terms of power consumption. This method is applicable in IoT embedded devices.

scholarly journals Autonomous micro-platform for multisensors with an advanced power management unit (PMU)

2018 ◽  
Vol 7 (1) ◽  
pp. 299-308 ◽  
Author(s):  
Pierre Bellier ◽  
Philippe Laurent ◽  
Serguei Stoukatch ◽  
François Dupont ◽  
Laura Joris ◽  
...  
Keyword(s):  
Low Power ◽  
Power Management ◽  
Sampling Rate ◽  
Low Power Design ◽  
Management Unit ◽  
Sensor Data ◽  
Storage Device ◽  
Processing Unit ◽  
Ultra Low Power ◽  
Power Management Unit

Abstract. In this work, we developed and characterised an autonomous micro-platform including several types of sensors, an advanced power management unit (PMU) and radio frequency (RF) transmission capabilities. Autonomy requires integration of an energy harvester, an energy storage device, a PMU, ultra-low-power components (including sensors) and optimized software. Our choice was to use commercial off-the-shelf components with low-power consumption, low cost and compactness as selection criteria. For the multi-purpose micro-platform, we choose to include the most common sensors (such as temperature, humidity, luminosity, acceleration, etc.) and to integrate them in one miniaturised autonomous device. A processing unit is embedded in the system. It allows for data acquisition from each sensor individually, simple data processing, and storing and/or wireless data transmission. Such a system can be used as stand-alone, with an internal storage in a non-volatile memory, or as a node in a wireless network, with bi-directional communication with a hub device where data can be analysed further. According to specific application requirements, system settings can be adjusted, such as the sampling rate, the resolution and the processing of the sensor data. Parallel to full autonomous functionality, the low-power design enables us to power the system by a small battery leading to a high degree of autonomy at a high sampling rate. Therefore, we also developed an alternative battery-powered version of the micro-platform that increases the range of applications. As such, the system is highly versatile and due to its reduced dimensions, it can be used nearly everywhere. Typical applications include the Internet of Things, Industry 4.0, home automation and building structural health monitoring.

Ion beam neutralization and properties of plasmas from low power ring cusp ion thrusters

2012 ◽  
Vol 19 (2) ◽  
pp. 023505 ◽  
Author(s):  
E. Criado ◽  
E. Roibás ◽  
S. P. Tierno ◽  
P. Rodríguez De Francisco ◽  
J. L. Domenech-Garret ◽  
...  
Keyword(s):  
Low Power ◽  
Ion Beam ◽  
Ion Thrusters
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