Design of Swimming Pool Temperature Dot Matrix Screen Display

2014 ◽  
Vol 556-562 ◽  
pp. 2208-2211
Author(s):  
Xue Feng Yang
Keyword(s):  
Water Temperature ◽  
Real Time ◽  
Room Temperature ◽  
Detection Method ◽  
Swimming Pool ◽  
Real Time Monitoring ◽  
Real Time Processing ◽  
The Core ◽  
Swimming Pool Water ◽  
Point Detection

According to the need of the real-time monitoring and displaying of the environment in many areas,to put forward a method of temperature monitoring and displaying, using STC11F32XE microcontroller as the core controller, DS18B20 as temperature acquisition chip, 32X64LED dot matrix screen as a display screen,using the mothod of multi point detection method,real-time monitoring of swimming pool water temperature and room temperature, real-time displaying of Multipoint collecting information, Real time processing the detected temperature, the page display to multipoint temperature display through the wireless remote control module,the system will alarm When the water temperature is too high or too low, to remind managers of real-time processing.To design a clear temperature display for the swimming pool,real time monitoring and controlling is very convenient,after the experimental verification, the system reaches the anticipative goal,the system is an ideal and effective.

Development of a detection method based on dielectric spectroscopy for real-time monitoring of meta-cresol contamination in beach-sand

2017 ◽  
Vol 268 ◽  
pp. 16-26 ◽  
Author(s):  
Mohammad Russel ◽  
Sun Zhenxiang ◽  
Liu Changrui ◽  
Zhou Hao ◽  
Liu Lifen ◽  
...  
Keyword(s):  
Real Time ◽  
Dielectric Spectroscopy ◽  
Detection Method ◽  
Beach Sand ◽  
Real Time Monitoring

A real-time music detection method based on convolutional neural network using Mel-spectrogram and spectral flux

2021 ◽  
Vol 263 (1) ◽  
pp. 5910-5918
Author(s):  
Yiya Hao ◽  
Yaobin Chen ◽  
Weiwei Zhang ◽  
Gong Chen ◽  
Liang Ruan
Keyword(s):  
Neural Network ◽  
Online Education ◽  
Convolutional Neural Network ◽  
Real Time ◽  
Speech Intelligibility ◽  
Classical Music ◽  
Detection Method ◽  
Automatic Gain Control ◽  
Real Time Processing ◽  
Spectral Flux

Audio processing, including speech enhancement system, improves speech intelligibility and quality in real-time communication (RTC) such as online meetings and online education. However, such processing, primarily noise suppression and automatic gain control, is harmful to music quality when the captured signal is music instead of speech. A music detector can solve the issue above by switching off the speech processing when the music is detected. In RTC scenarios, the music detector should be low-complexity and cover various situations, including different types of music, background noises, and other acoustical environments. In this paper, a real-time music detection method with low-computation complexity is proposed, based on a convolutional neural network (CNN) using Mel-spectrogram and spectral flux as input features. The proposed method achieves overall 90.63% accuracy under different music types (classical music, instruments solos, singing-songs, etc.), speech languages (English and Mandarin), and noise types. The proposed method is constructed on a lightweight CNN model with a small feature size, which guarantees real-time processing.

scholarly journals Vital Block and Vital Sign Server for ECG and Vital Sign Monitoring in a Portable u-Vital System

Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 1089
Author(s):  
Tae Wuk Bae ◽  
Kee Koo Kwon ◽  
Kyu Hyung Kim
Keyword(s):  
Real Time ◽  
Vital Sign ◽  
Vital Signs ◽  
Detection Algorithm ◽  
Smart Device ◽  
Blood Oxygen Saturation ◽  
Real Time Processing ◽  
Non Invasive ◽  
Wireless Protocols ◽  
Point Detection

An important function in the future healthcare system involves measuring a patient’s vital signs, transmitting the measured vital signs to a smart device or a management server, analyzing it in real-time, and informing the patient or medical staff. Internet of Medical Things (IoMT) incorporates information technology (IT) into patient monitoring device (PMD) and is developing traditional measurement devices into healthcare information systems. In the study, a portable ubiquitous-Vital (u-Vital) system is developed and consists of a Vital Block (VB), a small PMD, and Vital Sign Server (VSS), which stores and manages measured vital signs. Specifically, VBs collect a patient’s electrocardiogram (ECG), blood oxygen saturation (SpO2), non-invasive blood pressure (NiBP), body temperature (BT) in real-time, and the collected vital signs are transmitted to a VSS via wireless protocols such as WiFi and Bluetooth. Additionally, an efficient R-point detection algorithm was also proposed for real-time processing and long-term ECG analysis. Experiments demonstrated the effectiveness of measurement, transmission, and analysis of vital signs in the proposed portable u-Vital system.

Design of an Intelligent Controller for Control and Protective Switching Based on Profibus

2012 ◽  
Vol 588-589 ◽  
pp. 1401-1404
Author(s):  
Zhi Yuan Cai ◽  
Hong Yuan Ai
Keyword(s):  
Real Time ◽  
Remote Monitoring ◽  
Host Computer ◽  
Single Chip ◽  
Real Time Monitoring ◽  
Single Chip Microcomputer ◽  
Switching Device ◽  
Intelligent Controller ◽  
The Core

An intelligent controller with capable communication for control and protective switching device (CPS) based on Profibus fieldbus was designed. The system with the single chip microcomputer as the core realized the function of measuring, protection, controlling and communication between CPS and host computer by Profibus fieldbus. The design could not only realize real-time monitoring for running state of multiple electromotor but also set the protection parameters of CPS and alarm function online by interface, which made CPS have remote monitoring function.

A Digital Signal Processing Module for Time-Division Multiplexed Microcalorimeter Arrays

2013 ◽  
Vol 23 (3) ◽  
pp. 2500305-2500305 ◽  
Author(s):  
H Tan ◽  
M Walby ◽  
W Hennig ◽  
W Warburton ◽  
P Grudberg ◽  
...  
Keyword(s):  
Real Time ◽  
Digital Signal ◽  
Real Time Processing ◽  
Time Processing ◽  
The Core ◽  
Field Programmable ◽  
Processing Module ◽  
Time Division ◽  
Signal Processing Module ◽  
Processor Board

We have developed a digital signal processing module for real time processing of time-division multiplexed data from SQUID-coupled transition-edge sensor microcalorimeter arrays. It is a 3U PXI card consisting of a standardized core processor board and a daughter board. Through fiber-optic links on its front panel, the daughter board receives time-division multiplexed data (comprising error and feedback signals) and clocks from the digital-feedback cards developed at the National Institute of Standards and Technology. After mixing the error signal with the feedback signal in a field-programmable gate array, the daughter board transmits demultiplexed data to the core processor. Real-time processing in the field-programmable gate array of the core processor board includes pulse detection, pileup inspection, pulse height computation, and histogramming into on-board spectrum memory. Data from up to 128 microcalorimeter pixels can be processed by a single module in real time. Energy spectra, waveform, and run statistics data can be read out in real time through the PCI bus by a host computer at a maximum rate of ~100 MB/s. The module's hardware architecture, mechanism for synchronizing with NIST's digital-feedback, and count rate capability are presented.

Real-Time Bioluminescence Analysis of Escherichia coli O157:H7 Survival on Livestock Meats Stored Fresh, Cold, or Frozen

2018 ◽  
Vol 81 (11) ◽  
pp. 1906-1912 ◽  
Author(s):  
SEONG B. PARK ◽  
SHECOYA B. WHITE ◽  
CHRISTY S. STEADMAN ◽  
CLAY A. CAVINDER ◽  
SCOTT T. WILLARD ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Real Time ◽  
Bacterial Growth ◽  
Room Temperature ◽  
Storage Conditions ◽  
Escherichia Coli O157 ◽  
Production Environment ◽  
Real Time Monitoring ◽  
E Coli ◽  
C Storage

ABSTRACT Foodborne bacteria such as Escherichia coli O157:H7 can cause severe hemorrhagic colitis in humans following consumption of contaminated meat products. Contamination with pathogenic bacteria is frequently found in the food production environment, and adequate household storage conditions of purchased foods are vital for illness avoidance. Real-time monitoring was used to evaluate bacterial growth in ground horse, beef, and pork meats maintained under various storage conditions. Various levels of E. coli O157:H7 carrying the luxCDABE operon, which allows the cells to emit bioluminescence, were used to inoculate meat samples that were then stored at room temperature for 0.5 day, at 4°C (cold) for 7 or 9 days, or −20°C (frozen) for 9 days. Real-time bioluminescence imaging (BLI) of bacterial growth was used to assess bacterial survival or load. Ground horse meat BLI signals and E. coli levels were dose and time dependent, increasing during room temperature and −20°C storage, but stayed at low levels during 4°C storage. No bacteria survived in the lower level inoculum groups (101 and 103 CFU/g). With an inoculum of 107 CFU/g, pork meats had higher BLI signals than did their beef counterparts, displaying decreased BLI signals during 7 days storage at 4°C. Both meat types had higher BLI signals in the fat area, which was confirmed with isolated fat tissues in the beef meat. Beef lean and fat tissues contrasted with both pork fat and lean tissues, which had significantly higher BLI signals and bacterial levels. BLI appears to be a useful research tool for real-time monitoring of bacterial growth and survival in various stored livestock meats. The dependence of E. coli O157:H7 growth on meat substrate (fat or lean) and storage conditions may be used as part of an effective antibacterial approach for the production of safe ground horse, beef, and pork meats.

A high photoluminescence sensor for selective detection of cartap based on functionalized VBimBF4B ionic liquid-strengthened sulfur-doped carbon nanodots

2019 ◽  
Vol 43 (23) ◽  
pp. 8873-8881
Author(s):  
Ying Zhang ◽  
Dianwei Zhang ◽  
Jingmin Liu ◽  
Shuo Wang ◽  
Huilin Liu
Keyword(s):  
Ionic Liquid ◽  
Real Time ◽  
Room Temperature ◽  
Room Temperature Ionic Liquid ◽  
Carbon Nanodots ◽  
Selective Detection ◽  
Real Time Monitoring

A photoluminescence sensor based on functionalized room temperature ionic liquid-strengthened sulfur-doped carbon nanodots is developed for real-time monitoring of cartap.

scholarly journals New Parallel Technics for GPU, Fast SURF Algorithm

2020 ◽  
Vol 9 (8) ◽  
pp. 389-393
Keyword(s):  
Real Time ◽  
Graphics Processing Unit ◽  
Computation Time ◽  
Processing Unit ◽  
Real Time Processing ◽  
Time Usage ◽  
Computation Algorithm ◽  
Original Application ◽  
Graphics Processing ◽  
Point Detection

Computer vision algorithms, especially real-time tasks, require intensive computation and reduced time. That’s why many algorithms are developed for interest point detection and description. For instance, SURF (Speeded Up Robust Feature) is extensively adopted in tracking or detecting forms and objects. SURF algorithm remains complex and massive in term of computation. So, it’s a challenge for real time usage on CPU. In this paper we propose a fast SURF parallel computation algorithm designed for Graphics-Processing-Unit (GPU). We describe different states of the algorithm in detail, using several optimizations. Our method can improve significantly the original application by reducing the computation time. Thus, it presents a good performance for real-time processing

An Improved Yolov5s based Real-time Spontaneous Combustion Point Detection Method

2021 ◽  
Author(s):  
ZhiHao Zhou ◽  
YuWei Meng ◽  
RongDong Yu ◽  
Tao Yang ◽  
Ding Lu ◽  
...  
Keyword(s):  
Real Time ◽  
Spontaneous Combustion ◽  
Detection Method ◽  
Point Detection
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