scholarly journals Design and Testing of a Power Analyzer Monitor and Programming Device in Industries with a LoRA LPWAN Network

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 453
Author(s):  
Francisco Sánchez-Sutil ◽  
Antonio Cano-Ortega
Keyword(s):  
Low Power ◽  
Real Time ◽  
Loss Rate ◽  
High Efficiency ◽  
Wide Area Networks ◽  
Programming Device ◽  
Average Transmission ◽  
Design And Testing ◽  
Average Information ◽  
Electrical Installation

Electrical installations represent an important part of the industry. In this sense, knowing the state of the electrical installation in real time through the readings of the installed power analyzers is of vital importance. For this purpose, the RS485 bus can be used, which most electrical installations already have. An alternative to the bus wiring and its distance limitation is the use of low-power wide area networks (LPWAN). The long range (LoRa) protocol is ideal for industries due to its low-power consumption and coverage of up to 10 km. In this research, a device is developed to control all the reading and programming functions of a power analyzer and to integrate the device into the LoRa LPWAN network. The power analyzer monitor and programming device (PAMPD) is inexpensive and small enough to be installed in electrical panels, together with the power analyzer, without additional wiring. The information collected is available in the cloud in real time, allowing a multitude of analysis be run and optimization in real time. The results support high efficiency in information transmission with average information loss rate of 3% and a low average transmission time of 30 ms.

scholarly journals Real-Time Mitigation of the Mobility Effect for IEEE 802.15.4g SUN MR-OFDM

2019 ◽  
Vol 9 (16) ◽  
pp. 3289 ◽  
Author(s):  
Huy Nguyen ◽  
Nam Tuan Le ◽  
Nguyen Cong Hoan ◽  
Yeong Min Jang
Keyword(s):  
Low Power ◽  
Real Time ◽  
Doppler Shift ◽  
Orthogonal Frequency Division Multiplexing ◽  
Cyclic Prefix ◽  
Wide Area ◽  
Wide Area Networks ◽  
Frequency Division Multiplexing ◽  
Frequency Division ◽  
Ofdm System

In order to develop wireless sensor networks, which are defined by the IEEE 802.15.4 specification, researchers are considering low-power wide-area networks (LPWAN) due to their advantages of being long range, low power, low cost, and highly mobile. The issue of mobility is covered in the IEEE 802.15.4g standard for supporting a smart utility network (SUN), which is mainly controlled by orthogonal frequency-division multiplexing (OFDM) modulation. In a high mobility scenario, inter-carrier interference is a primary factor in reducing the performance of OFDM transmissions due to the destruction of the subcarrier component’s orthogonality. This paper analyzes the mobility effect in multi-rate multi-regional orthogonal frequency-division multiplexing (MR-OFDM) for low-power wide-area networks in general, and the SUN MR-OFDM system in particular. As mentioned in standard 802.15.4 2015, IEEE 802.15.4g MR-OFDM is one of the low-power wide-area (LPWA) technologies in which energy optimization problems are of first priority. We are especially interested in simple technologies that provide high efficiency. Therefore, we propose a highly adaptive method that uses the cyclic prefix to mitigate the mobility effect in real time. At a symbol frames interval of 120 us, the Doppler shift effect from the mobility of the MR-OFDM system adapted smoothly. This is not the best method to mitigate Doppler shift but it is a simple method that suits the LPWA network. The proposed scheme clearly simulated the mobility of the MR-OFDM system, and had the advantage of using a cyclic-prefix with a bit error rate performance through Additive White Gaussian Noise (AWGN) and the Rician channel of Matlab.

scholarly journals Design of Low-Power SPIHT Decoder Based ECG Compression and Reconstruction System

2021 ◽  
Author(s):  
Vinod Arunachalam ◽  
Kumareshan Natarajan
Keyword(s):  
Low Power ◽  
Real Time ◽  
High Efficiency ◽  
Vlsi Architecture ◽  
Require Time ◽  
Ecg Compression ◽  
Signal Encoding ◽  
And Performance ◽  
Code Complexity ◽  
Spiht Coding

Abstract This article proposes a 1D biomedical signal encoding scheme to allow embedding of metadata and to protect privacy. The compression of ECG signal and its reconstruction is implemented. The design concentrates on an overview of the criteria for safe and effective m-health storage, transmission, and access to medical tests. However, existing architectures for encoding SPIHT are designed to process images/videos. Significant memory and complex sorting algorithms are required for both architectures, and they all require time-consuming tasks that do not apply to mobile ECG applications. On the basis of our previously updated SPIHT coding research, we used flags and bit controls to reduce memory needs and code complexity through a combination of three search processes in one phase. The goal of real-time architecture for mobile ECG applications is therefore to be accomplished. In order first, to solve the disadvantages of the low-encryption speed of coded and complex hardware architectures that characterize previous SPIHT algorithms, we propose a SPIHT coding algorithm that uses several types of state registry files because of its need for dynastic c to attain real-time and performance design objectives. Secondly, a highly piped and efficient VLSI architecture is used to implement a high-efficiency and low-power SPIHT design based on the proposed algorithm.

Real-Time and Low-Power HEVC Deblocking Filter Architecture Targeting 8K UHD @ 60fps Videos

2020 ◽  
Vol 15 (1) ◽  
pp. 1-9
Author(s):  
Roberta De Carvalho Nobre Palau ◽  
Jones Goebel ◽  
Daniel Palomino ◽  
Guilherme Correa ◽  
Marcelo Porto ◽  
...  
Keyword(s):  
Low Power ◽  
Real Time ◽  
Power Dissipation ◽  
High Efficiency ◽  
Clock Cycle ◽  
Deblocking Filter ◽  
High Efficiency Video Coding ◽  
Normal Filter ◽  
Real Time Processing ◽  
Low Power Dissipation

This paper presents a low-power and high-throughput Deblocking Filter (DBF) hardware architecture for the High Efficiency Video Coding (HEVC) standard. The architecture implements the three HEVC deblocking filtering modes, namely: (i) normal filter, (ii) strong filter and (iii) chroma filter. The designed DBF architecture is able to process 64 samples per clock cycle, considering luminance and chrominance components. The architecture was described in VHDL and synthesized targeting the CMOS standard-cell TSMC 40nm library. The power results were reached with real input samples extracted from the HEVC reference software. Synthesis results show that the DBF design, when running at 124.4MHz, can reach a throughput of 60 frames per second (fps) for a 7680×4320 (8K UHD) video resolution. At this frequency, the DBF design presented a low power dissipation of 4.73mW. The presented DBF hardware surpasses all related works in terms of throughput and power dissipation and is the unique solution able to real-time processing of 8K UHD videos at 60 frames per second.

scholarly journals Low Power Cusped Field Thruster Developed for the Space-Borne Gravitational Wave Detection Mission in China

2021 ◽  
Vol 11 (14) ◽  
pp. 6549
Author(s):  
Hui Liu ◽  
Ming Zeng ◽  
Xiang Niu ◽  
Hongyan Huang ◽  
Daren Yu
Keyword(s):  
Low Power ◽  
Gravitational Wave ◽  
Attitude Control ◽  
High Efficiency ◽  
Experimental Investigations ◽  
Attitude Control System ◽  
Gravitational Wave Detection ◽  
Wave Detection ◽  
Wide Range ◽  
Institute Of Technology

The microthruster is the crucial device of the drag-free attitude control system, essential for the space-borne gravitational wave detection mission. The cusped field thruster (also called the High Efficiency Multistage Plasma Thruster) becomes one of the candidate thrusters for the mission due to its low complexity and potential long life over a wide range of thrust. However, the prescribed minimum of thrust and thrust noise are considerable obstacles to downscaling works on cusped field thrusters. This article reviews the development of the low power cusped field thruster at the Harbin Institute of Technology since 2012, including the design of prototypes, experimental investigations and simulation studies. Progress has been made on the downscaling of cusped field thrusters, and a new concept of microwave discharge cusped field thruster has been introduced.

scholarly journals A Complete Key Management Scheme for LoRaWAN v1.1

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2962
Author(s):  
Xingda Chen ◽  
Margaret Lech ◽  
Liuping Wang
Keyword(s):  
Low Power ◽  
Key Management ◽  
Wide Area Networks ◽  
Key Generation ◽  
Security Framework ◽  
Data Confidentiality ◽  
Backward Compatibility ◽  
Management Scheme ◽  
The Internet Of Things ◽  
Key Management Scheme

Security is one of the major concerns of the Internet of Things (IoT) wireless technologies. LoRaWAN is one of the emerging Low Power Wide Area Networks being developed for IoT applications. The latest LoRaWAN release v.1.1 has provided a security framework that includes data confidentiality protection, data integrity check, device authentication and key management. However, its key management part is only ambiguously defined. In this paper, a complete key management scheme is proposed for LoRaWAN. The scheme addresses key updating, key generation, key backup, and key backward compatibility. The proposed scheme was shown not only to enhance the current LoRaWAN standard, but also to meet the primary design consideration of LoRaWAN, i.e., low power consumption.

scholarly journals Real-time 2D–3D door detection and state classification on a low-power device

2021 ◽  
Vol 3 (5) ◽  
Author(s):  
João Gaspar Ramôa ◽  
Vasco Lopes ◽  
Luís A. Alexandre ◽  
S. Mogo
Keyword(s):  
Low Power ◽  
Real Time ◽  
Object Classification ◽  
Semantic Segmentation ◽  
Detection Algorithm ◽  
Power Device ◽  
Indoor Environments ◽  
State Classification ◽  
Segmentation Algorithms ◽  
Indoor Spaces

AbstractIn this paper, we propose three methods for door state classification with the goal to improve robot navigation in indoor spaces. These methods were also developed to be used in other areas and applications since they are not limited to door detection as other related works are. Our methods work offline, in low-powered computers as the Jetson Nano, in real-time with the ability to differentiate between open, closed and semi-open doors. We use the 3D object classification, PointNet, real-time semantic segmentation algorithms such as, FastFCN, FC-HarDNet, SegNet and BiSeNet, the object detection algorithm, DetectNet and 2D object classification networks, AlexNet and GoogleNet. We built a 3D and RGB door dataset with images from several indoor environments using a 3D Realsense camera D435. This dataset is freely available online. All methods are analysed taking into account their accuracy and the speed of the algorithm in a low powered computer. We conclude that it is possible to have a door classification algorithm running in real-time on a low-power device.

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

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