Implementation of a LoRaWAN protocol processing module on an embedded device using Secure Element

2019 ◽  
Author(s):  
YongSung Jeon ◽  
Yousung Kang
Keyword(s):  
Embedded Device ◽  
Processing Module ◽  
Secure Element

The processing-module assembly strategy for continuous bio-oxidation of furan chemicals by integrated and coupled biotechnology

2021 ◽  
Vol 23 (3) ◽  
pp. 1330-1336
Author(s):  
Genlai Du ◽  
Xia Hua ◽  
Bin Xu ◽  
Huan Wang ◽  
Xin Zhou ◽  
...  
Keyword(s):  
Electrochemical Techniques ◽  
Furoic Acid ◽  
Assembly Strategy ◽  
Processing Module

We designed a technology to combined biotechnology, chemical and electrochemical techniques to achieve furoic acid bio-production from bio-toxic furfural.

scholarly journals DSM Generation from Single and Cross-Sensor Multi-View Satellite Images Using the New Agisoft Metashape: The Case Studies of Trento and Matera (Italy)

2021 ◽  
Vol 13 (4) ◽  
pp. 593
Author(s):  
Lorenzo Lastilla ◽  
Valeria Belloni ◽  
Roberta Ravanelli ◽  
Mattia Crespi
Keyword(s):  
Case Studies ◽  
Accuracy Assessment ◽  
Stereo Pair ◽  
Commercial Software ◽  
Processing Module ◽  
Land Covers ◽  
Image Metadata ◽  
The Impact ◽  
The City ◽  
Reliable Software

DSM generation from satellite imagery is a long-lasting issue and it has been addressed in several ways over the years; however, expert and users are continuously searching for simpler but accurate and reliable software solutions. One of the latest ones is provided by the commercial software Agisoft Metashape (since version 1.6), previously known as Photoscan, which joins other already available open-source and commercial software tools. The present work aims to quantify the potential of the new Agisoft Metashape satellite processing module, considering that to the best knowledge of the authors, only two papers have been published, but none considering cross-sensor imagery. Here we investigated two different case studies to evaluate the accuracy of the generated DSMs. The first dataset consists of a triplet of Pléiades images acquired over the area of Trento and the Adige valley (Northern Italy), which is characterized by a great variety in terms of geomorphology, land uses and land covers. The second consists of a triplet composed of a WorldView-3 stereo pair and a GeoEye-1 image, acquired over the city of Matera (Southern Italy), one of the oldest settlements in the world, with the worldwide famous area of Sassi and a very rugged morphology in the surroundings. First, we carried out the accuracy assessment using the RPCs supplied by the satellite companies as part of the image metadata. Then, we refined the RPCs with an original independent terrain technique able to supply a new set of RPCs, using a set of GCPs adequately distributed across the regions of interest. The DSMs were generated both in a stereo and multi-view (triplet) configuration. We assessed the accuracy and completeness of these DSMs through a comparison with proper references, i.e., DSMs obtained through LiDAR technology. The impact of the RPC refinement on the DSM accuracy is high, ranging from 20 to 40% in terms of LE90. After the RPC refinement, we achieved an average overall LE90 <5.0 m (Trento) and <4.0 m (Matera) for the stereo configuration, and <5.5 m (Trento) and <4.5 m (Matera) for the multi-view (triplet) configuration, with an increase of completeness in the range 5–15% with respect to stereo pairs. Finally, we analyzed the impact of land cover on the accuracy of the generated DSMs; results for three classes (urban, agricultural, forest and semi-natural areas) are also supplied.

Detection of cardiovascular drugs and marine toxins using a multifunctional cell-based impedance biosensor system

2015 ◽  
Vol 7 (18) ◽  
pp. 7715-7723 ◽  
Author(s):  
Hongbo Li ◽  
Quchao Zou ◽  
Ling Zou ◽  
Qin Wang ◽  
Kaiqi Su ◽  
...  
Keyword(s):  
Data Processing ◽  
Cardiovascular Drugs ◽  
System Structure ◽  
Marine Toxins ◽  
System P ◽  
Biosensor System ◽  
Processing Module ◽  
Detection Instrument

The system structure of the CIB detection instrument: cell-based impedance biosensor units, hardware module, and data processing module.

scholarly journals RISC-V Virtual Platform-Based Convolutional Neural Network Accelerator Implemented in SystemC

Electronics ◽  
2021 ◽  
Vol 10 (13) ◽  
pp. 1514
Author(s):  
Seung-Ho Lim ◽  
WoonSik William Suh ◽  
Jin-Young Kim ◽  
Sang-Young Cho
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Network Model ◽  
Neural Network Model ◽  
Deep Neural Network ◽  
System Level ◽  
Neural Network Models ◽  
Data Set ◽  
Embedded Device ◽  
Virtual Platform

The optimization for hardware processor and system for performing deep learning operations such as Convolutional Neural Networks (CNN) in resource limited embedded devices are recent active research area. In order to perform an optimized deep neural network model using the limited computational unit and memory of an embedded device, it is necessary to quickly apply various configurations of hardware modules to various deep neural network models and find the optimal combination. The Electronic System Level (ESL) Simulator based on SystemC is very useful for rapid hardware modeling and verification. In this paper, we designed and implemented a Deep Learning Accelerator (DLA) that performs Deep Neural Network (DNN) operation based on the RISC-V Virtual Platform implemented in SystemC in order to enable rapid and diverse analysis of deep learning operations in an embedded device based on the RISC-V processor, which is a recently emerging embedded processor. The developed RISC-V based DLA prototype can analyze the hardware requirements according to the CNN data set through the configuration of the CNN DLA architecture, and it is possible to run RISC-V compiled software on the platform, can perform a real neural network model like Darknet. We performed the Darknet CNN model on the developed DLA prototype, and confirmed that computational overhead and inference errors can be analyzed with the DLA prototype developed by analyzing the DLA architecture for various data sets.

scholarly journals Unlimited and protected memory for flight data recorders

2016 ◽  
Vol 88 (6) ◽  
pp. 866-872 ◽  
Author(s):  
Yair Wiseman
Keyword(s):  
Design Methodology ◽  
Memory Device ◽  
Social Implications ◽  
Embedded Memory ◽  
Content Type ◽  
Flight Data ◽  
Embedded Device ◽  
Use Of Internet ◽  
Practical Implications

Purpose The purpose of this paper is to study extensive enlargement and safety of flight data recorder memory. Design/methodology/approach The study involves the moving the memory of flight data recorders from an internal embedded device to a cloud. Findings The implementation has made the embedded memory device of flight data recorder effectively unlimited, and, hence, much more information can be stored. Research limitations/implications The possibility of a flight data recorder to be damaged or lost in a crash is not so high, but the implementation can be very helpful in cases such as aerial disappearances. Practical implications The implication is larger and protected memory for flight data recorders. Social implications Finding reasons for crashes is faster, and immediate actions can be taken to find remedy to the failures. Originality/value The use of internet and cellphones in airplanes is nothing special at present. It is suggested to take this technology for flight data recorders as well.

Research on Key Technologies of Component-Based Postpone Telemetry Pre-Processing

2013 ◽  
Vol 846-847 ◽  
pp. 1176-1179
Author(s):  
Zhi Guo Zhang ◽  
Lei Gong
Keyword(s):  
System Development ◽  
Data Extraction ◽  
Processing Method ◽  
Frame Structure ◽  
Telemetry Data ◽  
Data Frame ◽  
Source Data ◽  
Processing Module ◽  
Processing Software ◽  
Source Extraction

Telemetry data frame structure is complicated and changeable, so telemetry pre-processing software cannot be universal. To solve this problem, a component method was proposed in this paper, which can effectively compensate for the deficiencies of the traditional method. XML files were employed to configure telemetry parameters, including the information of appropriate processing method for data processing. Based-on memory-mapped telemetry source data extraction can greatly improve source extraction speed, and data integrity is guaranteed by sub-frame data fusion. Subsequent telemetry software developing shows that the method can improve the reusability of pre-processing module and shorten the system development time.

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