scholarly journals Achieving Receiver-Side Cross-Technology Communication with Cross-Decoding

2018 ◽  
Author(s):  
Wenchao Jiang ◽  
Song Min Kim ◽  
Zhijun Li ◽  
Tian He
Keyword(s):  
Receiver Side

scholarly journals Sensing Occupancy through Software: Smart Parking Proof of Concept

Electronics ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2207
Author(s):  
Lea Dujić Rodić ◽  
Toni Perković ◽  
Tomislav Županović ◽  
Petar Šolić
Keyword(s):  
Signal Strength ◽  
Cost Effective ◽  
Receiver Side ◽  
Strength Change ◽  
Multiple Components ◽  
The Neural Network ◽  
Presence Data ◽  
Processing Signal ◽  
Smart Parking ◽  
The Given

In order to detect the vehicle presence in parking slots, different approaches have been utilized, which range from image recognition to sensing via detection nodes. The last one is usually based on getting the presence data from one or more sensors (commonly magnetic or IR-based), controlled and processed by a micro-controller that sends the data through radio interface. Consequently, given nodes have multiple components, adequate software is required for its control and state-machine to communicate its status to the receiver. This paper presents an alternative, cost-effective beacon-based mechanism for sensing the vehicle presence. It is based on the well-known effect that, once the metallic obstacle (i.e., vehicle) is on top of the sensing node, the signal strength will be attenuated, while the same shall be recognized at the receiver side. Therefore, the signal strength change conveys the information regarding the presence. Algorithms processing signal strength change at the receiver side to estimate the presence are required due to the stochastic nature of signal strength parameters. In order to prove the concept, experimental setup based on LoRa-based parking sensors was used to gather occupancy/signal strength data. In order to extract the information of presence, the Hidden Markov Model (HMM) was employed with accuracy of up to 96%, while the Neural Network (NN) approach reaches an accuracy of up to 97%. The given approach reduces the costs of the sensor production by at least 50%.

Simultaneous receiver-side deghosting and denoising method based on the sparsity constraint

2020 ◽  
Vol 17 (3) ◽  
pp. 411-418
Author(s):  
Hong-Jian Li ◽  
Qin-Yong Yang ◽  
Jie-Xiong Cai
Keyword(s):  
Receiver Side ◽  
Denoising Method ◽  
Sparsity Constraint

Acoustic-elastic coupled equation for ocean bottom seismic data elastic reverse time migration

Geophysics ◽  
2016 ◽  
Vol 81 (5) ◽  
pp. S333-S345 ◽  
Author(s):  
Pengfei Yu ◽  
Jianhua Geng ◽  
Xiaobo Li ◽  
Chenlong Wang
Keyword(s):  
Boundary Conditions ◽  
Particle Velocity ◽  
Ocean Bottom ◽  
Receiver Side ◽  
Reverse Time ◽  
Reverse Time Migration ◽  
Time Migration ◽  
New Equation ◽  
Obs Data ◽  
Coupled Equation

Conventionally, multicomponent geophones used to record the elastic wavefields in the solid seabed are necessary for ocean bottom seismic (OBS) data elastic reverse time migration (RTM). Particle velocity components are usually injected directly as boundary conditions in the elastic-wave equation in the receiver-side wavefield extrapolation step, which causes artifacts in the resulting elastic images. We have deduced a first-order acoustic-elastic coupled equation (AECE) by substituting pressure fields into the elastic velocity-stress equation (EVSE). AECE has three advantages for OBS data over EVSE when performing elastic RTM. First, the new equation unifies wave propagation in acoustic and elastic media. Second, the new equation separates P-waves directly during wavefield propagation. Third, three approaches are identified when using the receiver-side multicomponent particle velocity records and pressure records in elastic RTM processing: (1) particle velocity components are set as boundary conditions in receiver-side vectorial extrapolation with the AECE, which is equal to the elastic RTM using the conventional EVSE; (2) the pressure component may also be used for receiver-side scalar extrapolation with the AECE, and with which we can accomplish PP and PS images using only the pressure records and suppress most of the artifacts in the PP image with vectorial extrapolation; and (3) ocean-bottom 4C data can be simultaneously used for elastic images with receiver-side tensorial extrapolation using the AECE. Thus, the AECE may be used for conventional elastic RTM, but it also offers the flexibility to obtain PP and PS images using only pressure records.

scholarly journals Android Based Cardiac Ejection and Retinal Function of Human Body in Home Monitoring System

2019 ◽  
Vol 8 (6) ◽  
pp. 2043-2046
Keyword(s):  
Human Subject ◽  
Pressure Pulse ◽  
Home Monitoring ◽  
Well Being ◽  
Retinal Function ◽  
Receiver Side ◽  
The Individual ◽  
Electrocardiogram Monitoring ◽  
Microcontroller Unit ◽  
Monitoring Temperature

The main objective of the paper is to measure carnal parameters, such as Blood pressure, Pulse rate, ECG (Electrocardiogram) monitoring, Temperature and retinal function (ERG-Electroretinagram) of a human subject. The individual is observed inside his own home itself. In this research the patient well being is observed by utilizing sensor and the procured information is transmitted to a microcontroller unit. The data is collected by receiver side with Bluetooth and displayed on android mobile.

Cognitive Social Exchange

2019 ◽  
pp. 273-288
Author(s):  
Sampoornam K. P.
Keyword(s):  
Social Exchange ◽  
Error Control ◽  
The Internet ◽  
Receiver Side ◽  
Internet Backbone ◽  
Transmission Switching ◽  
Switching Unit ◽  
Telecommunications Network

This book chapter presents the role of telecommunications network in voice and data transmission. Switching, signaling and transmission are the technologies used to carry out this process. In landline call establishment, calls are routed from subscriber handset to a remote switching unit (RSU), a main switching unit (MSU), and to the internet protocol trunk automated exchange (IPTAX). Then, it is directed to the National Internet Backbone (NIB). On the receiver side, the IPTAX receives this signal from the NIB and directs to it to the MSU and RSU, respectively. The receiver side RSU delivers the information to the destination subscriber. In order to transmit the information from one place to other, it undergoes various process like modulation, demodulation, line coding, equalization, error control, bit synchronization and multiplexing, digitizing an analog message signal, and compression. This chapter also discusses the various services provided by BSNL and agencies governing the internet. Finally, it focuses on the National Internet Backbone facility of BSNL, India.

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