This document summarizes several research papers on remote photoplethysmography (rPPG) using RGB camera images to measure heart rate variability (HRV) without contact. It discusses using rPPG to extract pulse signals from videos of human faces to estimate heart rate and HRV. Methods described include selecting regions of interest, reducing motion artifacts, separating pulse signals from noise, and combining signals from multiple regions. The document evaluates these rPPG techniques compared to traditional contact methods and their potential for applications like monitoring drivers' vital signs.
Pulse Rate Monitoring Using Image ProcessingIRJET Journal
This paper presents a real-time heart rate monitoring system using video from a webcam. It extracts the heart rate from variations in facial skin color caused by blood circulation. Three signal processing methods - Fast Fourier Transform, Independent Component Analysis, and Principal Component Analysis - are applied to color channels in the video to extract the blood volume pulse. The extracted heart rate is then compared to a reference rate. Results show there is a high degree of agreement between the proposed method and the reference readings, indicating this non-contact technique has potential for use in personal healthcare and telemedicine applications.
IRJET- Smartphone based Blood Pressure Estimation using CART and PPGIRJET Journal
This document presents a study on estimating blood pressure using photoplethysmography (PPG) signals collected from smartphone cameras. The study uses a classification and regression tree (CART) model trained on PPG attributes from a public dataset to predict systolic and diastolic blood pressure. It finds that the CART model achieves acceptable accuracy for blood pressure estimation. The document provides background on PPG and CART, describes the study's methodology for collecting PPG signals from smartphone cameras and building the CART model, and discusses the study's limitations and opportunities for future work.
Cross-platform Remote Photoplethysmography (rPPG) based Heart's Vital Signs M...IRJET Journal
The document discusses remote photoplethysmography (rPPG) to monitor heart rate and blood pressure using videos taken with a smartphone or laptop camera. rPPG uses minor color changes in the skin detected by the camera from blood flow, which are imperceptible to the eye. The system extracts the rPPG signal and uses it to detect fiducial points in the signal. It then extracts statistical, curve width, frequency domain and fiducial point features. Principal component analysis is applied to reduce the number of frequency domain and curve width features before classifying them using a support vector machine to estimate health metrics through a cross-platform application.
Extraction of respiratory rate from ppg signals using pca and emdeSAT Publishing House
This document discusses extracting respiratory rate from photoplethysmography (PPG) signals using principal component analysis (PCA) and empirical mode decomposition (EMD). It begins with an introduction to PPG signals and how they contain respiratory information. It then discusses previous efforts to extract respiratory signals from PPG that used methods like filtering and wavelets. The document proposes using PCA and EMD to improve upon existing methods. It provides background on PCA, EMD, and reviews literature on extracting respiratory information from ECG and how respiration modulates PPG signals. The aim is to evaluate different signal processing techniques to extract respiratory information from commonly available biomedical signals like ECG and PPG to avoid using additional sensors.
Extraction of respiratory rate from ppg signals using pca and emdeSAT Journals
Abstract Photoplethysmography is a non-invasive electro-optic method developed by Hertzman, which provides information on the blood volume flowing at a particular test site on the body close to the skin. PPG waveform contains two components; one, attributable to the pulsatile component in the vessels, i.e. the arterial pulse, which is caused by the heartbeat, and gives a rapidly alternating signal (AC component). The second one is due to the blood volume and its change in the skin which gives a steady signal that changes very slowly (DC component). PPG signal consists of not only the heart-beat information but also a respiratory signal. Estimation of respiration rates from Photoplethysmographic (PPG) signals would be an alternative approach for obtaining respiration related information.. There have been several efforts on PPG Derived Respiration (PDR), these methods are based on different signal processing techniques like filtering, wavelets and other statistical methods, which work by extraction of respiratory trend embedded into various physiological signals. PCA identifies patterns in data, and expresses the data in such a way as to highlight their similarities and differences. Since patterns in data can be hard to find in data of high dimension, where the luxury of graphical representation is not available, PCA is a powerful tool for analyzing such data. Due to external stimuli, biomedical signals are in general non-linear and non-stationary. Empirical Mode Decomposition is ideally suited to extract essential components which are characteristic of the underlying biological or physiological processes. The basis functions, called Intrinsic Mode Functions (IMFs) represent a complete set of locally orthogonal basis functions whose amplitude and frequency may vary over time. The contribution reviews the technique of EMD and related algorithms and discusses illustrative applications. Test results on PPG signals of the well known MIMIC database from Physiobank archive reveal that the proposed EMD method has efficiently extracted respiratory information from PPG signals. The evaluated similarity parameters in both time and frequency domains for original and estimated respiratory rates have shown the superiority of the method. Index Terms: Respiratory signal, PPG signal, Principal Component Analysis, EMD, ECG
Motion artifacts reduction in cardiac pulse signal acquired from video imaging IJECEIAES
This study examines the possibility of remotely measuring the cardiac pulse activity of a patient, which could be an alternative technique to the classical method. This type of measurement is non-invasive. However, several limitations may deteriorate the accuracy of the results, including changes in ambient illumination, motion artifacts (MA) and other interferences that may occur through video recording. The paper in hand presents a new approach as a remedy for the aforementioned problem in cardiac pulse signals extracted from facial video recordings. Partitioning provides the basis for the presented MA reduction method; the acquired signals are partitioned into two sets for each second and every partition is shifted to the mean level and then all the partitions are recombined again into one signal, which is followed by low-pass filtering for enhancement. The proposed compared with ordinary pulse oximetry Photoplethysmographic (PPG) method. The resulted correlation coefficient was found (0.957) when calculated between the results of the proposed method and the ordinary one. Experiments were implemented using a common camera by creating a dataset from 11 subjects. The ease of implementation of this method with a simple that can be used to monitor the cardiac pulse rates in both home and the clinical environments.
Analysis of minimum face video duration and the effect of video compression t...journalBEEI
Heart rate (HR) is one of important indicator for human physiological diagnosis, and camera can be used to detect it via photoplethysmograph (PPG) signal extraction. In doing so, number of sample images required to measure the HR signal, and quality of the images itself are important to yield an accurate reading. This paper tackles such an issue by analyzing the effect of sampling interval to HR reading in compressed and original video format, obtained in various ranging locations. Technically, important facial points from video stream were estimated by using cascade regression facial tracker. Based on the facial points, region of interest (ROI) was constructed where non-rigid movement is minimal. Next, PPG signal was extracted by calculating the average value of green pixel intensity from the ROI. Following that, illumination variation was separated from the signal via independent component analysis (ICA). The PPG signal was further processed using series of signal filtering techniques to exclude frequencies beyond range of interest prior estimate the HR. From the experiment it can be observed that sampling time of 2 seconds in uncompressed video shows promising HR within the range of 1 to 5 meters.
Parkinson Hand-Tremor Recognition Using CNN+LSTM : A Brief ReviewIRJET Journal
1) The document discusses techniques for recognizing hand tremors in Parkinson's disease patients from videos using CNN+LSTM models as a non-invasive alternative to sensors.
2) It reviews literature on hand tremor frequency estimation methods including Lagrangian and Eulerian approaches and finds Eulerian methods more accurate.
3) It also summarizes other works using mobile phones and computer vision to detect tremors and assess Parkinson's symptoms from facial expressions to enable remote monitoring and diagnosis.
Pulse Rate Monitoring Using Image ProcessingIRJET Journal
This paper presents a real-time heart rate monitoring system using video from a webcam. It extracts the heart rate from variations in facial skin color caused by blood circulation. Three signal processing methods - Fast Fourier Transform, Independent Component Analysis, and Principal Component Analysis - are applied to color channels in the video to extract the blood volume pulse. The extracted heart rate is then compared to a reference rate. Results show there is a high degree of agreement between the proposed method and the reference readings, indicating this non-contact technique has potential for use in personal healthcare and telemedicine applications.
IRJET- Smartphone based Blood Pressure Estimation using CART and PPGIRJET Journal
This document presents a study on estimating blood pressure using photoplethysmography (PPG) signals collected from smartphone cameras. The study uses a classification and regression tree (CART) model trained on PPG attributes from a public dataset to predict systolic and diastolic blood pressure. It finds that the CART model achieves acceptable accuracy for blood pressure estimation. The document provides background on PPG and CART, describes the study's methodology for collecting PPG signals from smartphone cameras and building the CART model, and discusses the study's limitations and opportunities for future work.
Cross-platform Remote Photoplethysmography (rPPG) based Heart's Vital Signs M...IRJET Journal
The document discusses remote photoplethysmography (rPPG) to monitor heart rate and blood pressure using videos taken with a smartphone or laptop camera. rPPG uses minor color changes in the skin detected by the camera from blood flow, which are imperceptible to the eye. The system extracts the rPPG signal and uses it to detect fiducial points in the signal. It then extracts statistical, curve width, frequency domain and fiducial point features. Principal component analysis is applied to reduce the number of frequency domain and curve width features before classifying them using a support vector machine to estimate health metrics through a cross-platform application.
Extraction of respiratory rate from ppg signals using pca and emdeSAT Publishing House
This document discusses extracting respiratory rate from photoplethysmography (PPG) signals using principal component analysis (PCA) and empirical mode decomposition (EMD). It begins with an introduction to PPG signals and how they contain respiratory information. It then discusses previous efforts to extract respiratory signals from PPG that used methods like filtering and wavelets. The document proposes using PCA and EMD to improve upon existing methods. It provides background on PCA, EMD, and reviews literature on extracting respiratory information from ECG and how respiration modulates PPG signals. The aim is to evaluate different signal processing techniques to extract respiratory information from commonly available biomedical signals like ECG and PPG to avoid using additional sensors.
Extraction of respiratory rate from ppg signals using pca and emdeSAT Journals
Abstract Photoplethysmography is a non-invasive electro-optic method developed by Hertzman, which provides information on the blood volume flowing at a particular test site on the body close to the skin. PPG waveform contains two components; one, attributable to the pulsatile component in the vessels, i.e. the arterial pulse, which is caused by the heartbeat, and gives a rapidly alternating signal (AC component). The second one is due to the blood volume and its change in the skin which gives a steady signal that changes very slowly (DC component). PPG signal consists of not only the heart-beat information but also a respiratory signal. Estimation of respiration rates from Photoplethysmographic (PPG) signals would be an alternative approach for obtaining respiration related information.. There have been several efforts on PPG Derived Respiration (PDR), these methods are based on different signal processing techniques like filtering, wavelets and other statistical methods, which work by extraction of respiratory trend embedded into various physiological signals. PCA identifies patterns in data, and expresses the data in such a way as to highlight their similarities and differences. Since patterns in data can be hard to find in data of high dimension, where the luxury of graphical representation is not available, PCA is a powerful tool for analyzing such data. Due to external stimuli, biomedical signals are in general non-linear and non-stationary. Empirical Mode Decomposition is ideally suited to extract essential components which are characteristic of the underlying biological or physiological processes. The basis functions, called Intrinsic Mode Functions (IMFs) represent a complete set of locally orthogonal basis functions whose amplitude and frequency may vary over time. The contribution reviews the technique of EMD and related algorithms and discusses illustrative applications. Test results on PPG signals of the well known MIMIC database from Physiobank archive reveal that the proposed EMD method has efficiently extracted respiratory information from PPG signals. The evaluated similarity parameters in both time and frequency domains for original and estimated respiratory rates have shown the superiority of the method. Index Terms: Respiratory signal, PPG signal, Principal Component Analysis, EMD, ECG
Motion artifacts reduction in cardiac pulse signal acquired from video imaging IJECEIAES
This study examines the possibility of remotely measuring the cardiac pulse activity of a patient, which could be an alternative technique to the classical method. This type of measurement is non-invasive. However, several limitations may deteriorate the accuracy of the results, including changes in ambient illumination, motion artifacts (MA) and other interferences that may occur through video recording. The paper in hand presents a new approach as a remedy for the aforementioned problem in cardiac pulse signals extracted from facial video recordings. Partitioning provides the basis for the presented MA reduction method; the acquired signals are partitioned into two sets for each second and every partition is shifted to the mean level and then all the partitions are recombined again into one signal, which is followed by low-pass filtering for enhancement. The proposed compared with ordinary pulse oximetry Photoplethysmographic (PPG) method. The resulted correlation coefficient was found (0.957) when calculated between the results of the proposed method and the ordinary one. Experiments were implemented using a common camera by creating a dataset from 11 subjects. The ease of implementation of this method with a simple that can be used to monitor the cardiac pulse rates in both home and the clinical environments.
Analysis of minimum face video duration and the effect of video compression t...journalBEEI
Heart rate (HR) is one of important indicator for human physiological diagnosis, and camera can be used to detect it via photoplethysmograph (PPG) signal extraction. In doing so, number of sample images required to measure the HR signal, and quality of the images itself are important to yield an accurate reading. This paper tackles such an issue by analyzing the effect of sampling interval to HR reading in compressed and original video format, obtained in various ranging locations. Technically, important facial points from video stream were estimated by using cascade regression facial tracker. Based on the facial points, region of interest (ROI) was constructed where non-rigid movement is minimal. Next, PPG signal was extracted by calculating the average value of green pixel intensity from the ROI. Following that, illumination variation was separated from the signal via independent component analysis (ICA). The PPG signal was further processed using series of signal filtering techniques to exclude frequencies beyond range of interest prior estimate the HR. From the experiment it can be observed that sampling time of 2 seconds in uncompressed video shows promising HR within the range of 1 to 5 meters.
Parkinson Hand-Tremor Recognition Using CNN+LSTM : A Brief ReviewIRJET Journal
1) The document discusses techniques for recognizing hand tremors in Parkinson's disease patients from videos using CNN+LSTM models as a non-invasive alternative to sensors.
2) It reviews literature on hand tremor frequency estimation methods including Lagrangian and Eulerian approaches and finds Eulerian methods more accurate.
3) It also summarizes other works using mobile phones and computer vision to detect tremors and assess Parkinson's symptoms from facial expressions to enable remote monitoring and diagnosis.
Non-Contact Health Monitoring System Using Image and Signal ProcessingAtul Kumar Sharma
Presently digital medical devices promise to transform the future of medicine because of their ability to produce exquisitely detailed individual physiological data. As ordinary people start to have access and control over their own physiological data so that they can play a more active role in the management of their health. Currently many techniques are available for counting our heartbeat but it all needs bundles of sensors and wires. For heartbeat measurement using Electrocardiograph(ECG) method, we have to attach a bundle of leads in our chest and have to use adhesive gel. It is very difficult to patients and it can cause irritation to the skin. Another type is pulse oximeters and sensors, in this method sensors are attached to the finger tips or earlobes. This is also difficult for user.
In case of "Non-contact health monitoring system using image and signal processing" which gives contact free measurement about our physiological information using basic image processing devices. Users have the experience of real time health monitoring by just looking into "medical mirror". It recognizes our heartbeat without any external or internal sensor and displays it in real time. This invention helps people to access their own physiological data.
This paper proposes a novel touchless approach to estimate blood pressure (BP) and heart rate (HR) using video of a person's face. Existing methods use wearable sensors that can be bulky and require medical assistance, limiting continuous monitoring. The proposed method extracts photoplethysmogram (PPG) signals from facial video using principal component analysis. It then analyzes time and frequency domain parameters of the PPG signal to estimate systolic, diastolic BP and HR. The accuracy of the estimates is evaluated against measurements from a clinically approved BP monitor. Results show the touchless method could enable continuous hypertension monitoring without sensors or medical supervision.
IRJET- Doctors Assitive System using Augmentated Reality for Critical AnalysisIRJET Journal
This document discusses using augmented reality to assist doctors. It proposes a system that displays important patient medical information on semi-transparent glasses as part of an augmented reality headset. This allows doctors to view the information overlaid on the real world. The system aims to make patient data easily visible, portable, reduce time spent searching for data, and securely perform operations. It describes transmitting sensor data from a patient using sensors like heartbeat, temperature, and pressure sensors connected to a PIC microcontroller. The data is then sent using ZigBee transmission and viewed on the augmented reality glasses by the doctor for critical analysis during treatment.
IRJET- Heart Rate Monitoring by using Pulse SensorIRJET Journal
This document describes a heart rate monitoring system using a pulse sensor and Arduino microcontroller. The system measures heart rate by detecting changes in blood volume in the fingertip artery using a pulse sensor attached to the finger. The sensor signal is processed by the Arduino and the measured heart rate is stored, displayed on an LCD screen, and can be transmitted remotely via GSM or Ethernet modules to allow doctors to monitor patients remotely. The system aims to continuously monitor heart rate for healthcare purposes in a simple, low-cost, and portable design. The document provides details of the hardware components used and how they are connected and calibrated to accurately measure heart rate.
A Survey on Non-Contact Heart Rate Estimation from Facial VideoBRNSSPublicationHubI
This document reviews methods for estimating heart rate from facial videos without contact. It summarizes several public datasets used to evaluate these non-contact heart rate estimation methods. It also reviews the key parameters in heart rate estimation systems from facial video, including the type of video camera used, color spaces and channels analyzed, and regions of interest on the face. The document finds that while early methods worked in controlled settings, more recent studies have achieved promising accuracy under realistic conditions using more complex approaches.
IRJET - Touch-Less Heartbeat Detection and Cardiopulmonary ModelingIRJET Journal
This document presents a touchless method for detecting heartbeats and modeling cardiopulmonary signals using video recordings. The method uses chrominance modeling and facial landmark detection to isolate the best region of interest for extracting pulse signals without contact. It was tested on 26 subjects during rest and activity and achieved 95% accuracy for beat detection at rest and 92% during activity. The mean error in measured heart rate was low at +0.04 bpm at rest and +0.01 bpm during activity compared to ECG measurements. The method provides a contactless way to remotely monitor vital signs like heart and respiration rates.
IRJET- Review Paper on Patient Health Monitoring System using Can ProtocolIRJET Journal
This document summarizes a research paper on a patient health monitoring system using CAN protocol. The system measures the heart rate and body temperature of one or more patients at a time using sensors connected to a microcontroller. It sends the measured data over a CAN bus to a receiving node, which then transmits the data serially to be displayed on a single monitor. This allows doctors to remotely monitor multiple patients' vital signs from one location in real-time. The system aims to reduce monitoring time and increase flexibility for doctors compared to traditional monitoring methods.
The document details and evaluates different technologies for gesture recognition, including computer vision, accelerometers, and gloves. It provides a literature review of papers on vision-based and accelerometer-based gesture recognition techniques. The document proposes parameters for evaluating and comparing these technologies, such as resolution, accuracy, latency, range of motion, user comfort, and cost. It assigns weights to these parameters based on the goals of developing a gesture recognition system for research purposes.
Infrared Vein Detection System For Person Identification – An Image Processin...IRJET Journal
This document presents a method for identifying individuals using infrared detection of vein patterns in the hands. The proposed system uses a near-infrared camera to capture images of hand veins. It then applies image processing techniques like region of interest extraction, contrast enhancement, edge detection, and feature extraction using Radon transforms to analyze the vein patterns. Features are matched against a database to identify individuals. The system achieved an accuracy of 92% on a test database of 100 individuals. The document describes the full methodology and provides experimental results demonstrating the effectiveness of infrared vein detection for biometric identification applications.
Photoplethysmogram signal reconstruction through integrated compression sensi...IAESIJAI
The transmission of photoplethysmogram (PPG) signals in real-time is extremely challenging and facilitates the use of an internet of things (IoT) environment for healthcare- monitoring. This paper proposes an approach for PPG signal reconstruction through integrated compression sensing and basis function aware shallow learning (CSBSL). Integrated-CSBSL approach for combined compression of PPG signals via multiple channels thereby improving the reconstruction accuracy for the PPG signals essential in healthcare monitoring. An optimal basis function aware shallow learning procedure is employed on PPG signals with prior initialization; this is further fine-tuned by utilizing the knowledge of various other channels, which exploit the further sparsity of the PPG signals. The proposed method for learning combined with PPG signals retains the knowledge of spatial and temporal correlation. The proposed Integrated-CSBSL approach consists of two steps, in the first step the shallow learning based on basis function is carried out through training the PPG signals. The proposed method is evaluated using multichannel PPG signal reconstruction, which potentially benefits clinical applications through PPG monitoring and diagnosis.
Virtual reality with head movement tracking by mubeen mominmubeenm50
This document describes the design and development of a portable virtual reality headset. It uses an inertial measurement unit to track the user's head movements and display rendered images accordingly. The system allows for remote viewing of surroundings to perform tasks more effectively or enhance tele-operation capabilities. It uses sensors like gyroscopes and accelerometers along with a microcontroller and wireless transmission to synchronize head movements with a camera for virtual 3D movement. Potential applications include use in hospitals, military operations, rescue missions, police training, and helping paralyzed individuals.
The document presents a method called CardioGAN that uses a generative adversarial network to synthesize electrocardiogram (ECG) signals from photoplethysmogram (PPG) signals. CardioGAN uses an attention U-Net architecture for the generator and dual discriminators to classify signals in the time and frequency domains. It is trained in an unpaired manner on multiple ECG and PPG datasets. Evaluation shows it can successfully generate ECG signals from PPG inputs, though quality is reduced for highly noisy PPG inputs. The method has potential applications for continuous ECG monitoring using wearable devices.
Advance Intelligent Video Surveillance System Using OpenCVIRJET Journal
This document describes the development of an intelligent video surveillance system using OpenCV. The proposed system aims to reduce electricity usage and storage needs by only recording video when human presence is detected, as opposed to continuous recording. It utilizes a camera initialized through OpenCV to capture video frames. The frames are converted to grayscale and analyzed using a Haar cascade classifier to detect human faces. If a face is detected, recording begins. If no motion is detected for several seconds, recording will stop. The recorded videos are stored locally. This approach is well-suited for locations with intermittent human presence, where continuous recording is unnecessary. It allows for more efficient use of resources than traditional CCTV.
The document summarizes the achievements, skills, projects, and experience of an individual. It outlines their academic qualifications including securing rank 18 in GATE 2015 and selection for positions at BARC and NITIE. It also lists technical skills in areas such as Arduino, MATLAB, and programming languages. Key projects involved cooperative control of quadcopters using ROS, a blood pressure measurement simulator, and an embedded system for heart rate and temperature measurement. Professional experience included automation roles at HIL Ltd achieving energy and process improvements. Presentations covered topics such as quadcopters and GPS/INS applications to UAVs.
This document describes a driver monitoring system that uses image processing and sensors to detect driver drowsiness, alcohol intoxication, and lane position. The system uses a camera and the EAR (eye aspect ratio) algorithm to monitor eye closure and detect drowsiness. It also uses an MQ3 alcohol sensor to detect breath alcohol content and classify the driver's intoxication level. Additionally, it implements computer vision techniques like Hough transforms and slope filtering to detect lane markings and curves to monitor the vehicle's position within the lanes. The goal is to develop an integrated system that can reduce accidents caused by driver fatigue or drunk driving by alerting drivers in risky conditions.
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This document presents a method for recognizing gestures using ultrasound sensors and infrared array sensors. Two ultrasound sensor pairs are used to capture hand motion in vertical and horizontal directions. An infrared Grid-Eye sensor is used to trigger the ultrasound sensors when a hand gesture is detected. The sensors capture data on the distance and movement of the hand. This data is preprocessed and extracted into features representing the average and count of upward and downward motions. An artificial neural network with two hidden layers is trained on these features to classify gestures for two letters, achieving an accuracy of 83%. The proposed method aims to provide a contactless gesture recognition system without some of the disadvantages of vision-based techniques.
This document describes a smart helmet system that embeds sensors to monitor the wearer's brain activity (EEG) and respiration. The system includes an Arduino microcontroller, GPS module, GSM module for emergency alerts, EEG sensor, respiratory sensor, and power supply. It monitors sensor values and compares them to normal tolerance levels. If any abnormal readings or accidents occur, the system sends an emergency alert message along with GPS location to recovery authorities. The wearer can also manually trigger an emergency message using a button. The document discusses recording EEG and ECG signals from inside the helmet and transmitting data to evaluate feasibility. It aims to monitor physiological signals during activities like sports or military engagements for safety.
IRJET - Examination Forgery Avoidance System using Image Processing and IoTIRJET Journal
This document describes a proposed system to avoid exam forgery using image processing and IoT. The system uses a camera to capture candidate images, a fingerprint sensor to verify identity, and a Raspberry Pi for processing. Candidate images and fingerprints are matched against a stored dataset. If verified, a door will open to allow exam access. Otherwise, an alert is sent to management. The system aims to reduce exam forgery by reliably verifying candidate identity in real-time.
Iaetsd fpga based retinal blood oxygen saturation mapping usingIaetsd Iaetsd
This document discusses two main topics:
1. A study that developed a method to map retinal blood oxygen saturation levels in two dimensions using multispectral images of the retina acquired with a custom imaging system. The method involves preprocessing the images using morphological processing to extract blood vessels, compensating for eye motion, and using partial least squares regression to estimate oxygen saturation levels.
2. The development of the SA-C programming language for programming FPGAs and its optimizing compiler. SA-C allows expression of image processing applications and compilation to hardware circuits. The compiler performs optimizations and generates lower level code like dataflow graphs for implementation on FPGAs.
One Dimensional Wavelet Based Quality-Assured ECG Compression System using Lo...IJSRED
This document describes a proposed hardware-oriented SPIHT decoding algorithm and low-power architecture for real-time electrocardiogram (ECG) compression. It introduces a SPIHT decoding calculation and low-power hardware design suitable for a mobile health 1-D wavelet-based ECG compression system using Set Partitioning in Hierarchical Trees coding. Previous SPIHT coding approaches are reviewed, focusing on list-based and non-list-based methods. The proposed SPIHT decoder aims to address limitations of prior approaches for quality-assured ECG compression needed in mobile health applications.
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
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This document presents a method for identifying individuals using infrared detection of vein patterns in the hands. The proposed system uses a near-infrared camera to capture images of hand veins. It then applies image processing techniques like region of interest extraction, contrast enhancement, edge detection, and feature extraction using Radon transforms to analyze the vein patterns. Features are matched against a database to identify individuals. The system achieved an accuracy of 92% on a test database of 100 individuals. The document describes the full methodology and provides experimental results demonstrating the effectiveness of infrared vein detection for biometric identification applications.
Photoplethysmogram signal reconstruction through integrated compression sensi...IAESIJAI
The transmission of photoplethysmogram (PPG) signals in real-time is extremely challenging and facilitates the use of an internet of things (IoT) environment for healthcare- monitoring. This paper proposes an approach for PPG signal reconstruction through integrated compression sensing and basis function aware shallow learning (CSBSL). Integrated-CSBSL approach for combined compression of PPG signals via multiple channels thereby improving the reconstruction accuracy for the PPG signals essential in healthcare monitoring. An optimal basis function aware shallow learning procedure is employed on PPG signals with prior initialization; this is further fine-tuned by utilizing the knowledge of various other channels, which exploit the further sparsity of the PPG signals. The proposed method for learning combined with PPG signals retains the knowledge of spatial and temporal correlation. The proposed Integrated-CSBSL approach consists of two steps, in the first step the shallow learning based on basis function is carried out through training the PPG signals. The proposed method is evaluated using multichannel PPG signal reconstruction, which potentially benefits clinical applications through PPG monitoring and diagnosis.
Virtual reality with head movement tracking by mubeen mominmubeenm50
This document describes the design and development of a portable virtual reality headset. It uses an inertial measurement unit to track the user's head movements and display rendered images accordingly. The system allows for remote viewing of surroundings to perform tasks more effectively or enhance tele-operation capabilities. It uses sensors like gyroscopes and accelerometers along with a microcontroller and wireless transmission to synchronize head movements with a camera for virtual 3D movement. Potential applications include use in hospitals, military operations, rescue missions, police training, and helping paralyzed individuals.
The document presents a method called CardioGAN that uses a generative adversarial network to synthesize electrocardiogram (ECG) signals from photoplethysmogram (PPG) signals. CardioGAN uses an attention U-Net architecture for the generator and dual discriminators to classify signals in the time and frequency domains. It is trained in an unpaired manner on multiple ECG and PPG datasets. Evaluation shows it can successfully generate ECG signals from PPG inputs, though quality is reduced for highly noisy PPG inputs. The method has potential applications for continuous ECG monitoring using wearable devices.
Advance Intelligent Video Surveillance System Using OpenCVIRJET Journal
This document describes the development of an intelligent video surveillance system using OpenCV. The proposed system aims to reduce electricity usage and storage needs by only recording video when human presence is detected, as opposed to continuous recording. It utilizes a camera initialized through OpenCV to capture video frames. The frames are converted to grayscale and analyzed using a Haar cascade classifier to detect human faces. If a face is detected, recording begins. If no motion is detected for several seconds, recording will stop. The recorded videos are stored locally. This approach is well-suited for locations with intermittent human presence, where continuous recording is unnecessary. It allows for more efficient use of resources than traditional CCTV.
The document summarizes the achievements, skills, projects, and experience of an individual. It outlines their academic qualifications including securing rank 18 in GATE 2015 and selection for positions at BARC and NITIE. It also lists technical skills in areas such as Arduino, MATLAB, and programming languages. Key projects involved cooperative control of quadcopters using ROS, a blood pressure measurement simulator, and an embedded system for heart rate and temperature measurement. Professional experience included automation roles at HIL Ltd achieving energy and process improvements. Presentations covered topics such as quadcopters and GPS/INS applications to UAVs.
This document describes a driver monitoring system that uses image processing and sensors to detect driver drowsiness, alcohol intoxication, and lane position. The system uses a camera and the EAR (eye aspect ratio) algorithm to monitor eye closure and detect drowsiness. It also uses an MQ3 alcohol sensor to detect breath alcohol content and classify the driver's intoxication level. Additionally, it implements computer vision techniques like Hough transforms and slope filtering to detect lane markings and curves to monitor the vehicle's position within the lanes. The goal is to develop an integrated system that can reduce accidents caused by driver fatigue or drunk driving by alerting drivers in risky conditions.
IRJET= Air Writing: Gesture Recognition using Ultrasound Sensors and Grid-Eye...IRJET Journal
This document presents a method for recognizing gestures using ultrasound sensors and infrared array sensors. Two ultrasound sensor pairs are used to capture hand motion in vertical and horizontal directions. An infrared Grid-Eye sensor is used to trigger the ultrasound sensors when a hand gesture is detected. The sensors capture data on the distance and movement of the hand. This data is preprocessed and extracted into features representing the average and count of upward and downward motions. An artificial neural network with two hidden layers is trained on these features to classify gestures for two letters, achieving an accuracy of 83%. The proposed method aims to provide a contactless gesture recognition system without some of the disadvantages of vision-based techniques.
This document describes a smart helmet system that embeds sensors to monitor the wearer's brain activity (EEG) and respiration. The system includes an Arduino microcontroller, GPS module, GSM module for emergency alerts, EEG sensor, respiratory sensor, and power supply. It monitors sensor values and compares them to normal tolerance levels. If any abnormal readings or accidents occur, the system sends an emergency alert message along with GPS location to recovery authorities. The wearer can also manually trigger an emergency message using a button. The document discusses recording EEG and ECG signals from inside the helmet and transmitting data to evaluate feasibility. It aims to monitor physiological signals during activities like sports or military engagements for safety.
IRJET - Examination Forgery Avoidance System using Image Processing and IoTIRJET Journal
This document describes a proposed system to avoid exam forgery using image processing and IoT. The system uses a camera to capture candidate images, a fingerprint sensor to verify identity, and a Raspberry Pi for processing. Candidate images and fingerprints are matched against a stored dataset. If verified, a door will open to allow exam access. Otherwise, an alert is sent to management. The system aims to reduce exam forgery by reliably verifying candidate identity in real-time.
Iaetsd fpga based retinal blood oxygen saturation mapping usingIaetsd Iaetsd
This document discusses two main topics:
1. A study that developed a method to map retinal blood oxygen saturation levels in two dimensions using multispectral images of the retina acquired with a custom imaging system. The method involves preprocessing the images using morphological processing to extract blood vessels, compensating for eye motion, and using partial least squares regression to estimate oxygen saturation levels.
2. The development of the SA-C programming language for programming FPGAs and its optimizing compiler. SA-C allows expression of image processing applications and compilation to hardware circuits. The compiler performs optimizations and generates lower level code like dataflow graphs for implementation on FPGAs.
One Dimensional Wavelet Based Quality-Assured ECG Compression System using Lo...IJSRED
This document describes a proposed hardware-oriented SPIHT decoding algorithm and low-power architecture for real-time electrocardiogram (ECG) compression. It introduces a SPIHT decoding calculation and low-power hardware design suitable for a mobile health 1-D wavelet-based ECG compression system using Set Partitioning in Hierarchical Trees coding. Previous SPIHT coding approaches are reviewed, focusing on list-based and non-list-based methods. The proposed SPIHT decoder aims to address limitations of prior approaches for quality-assured ECG compression needed in mobile health applications.
Similar to Remote Photoplethysmography (rPPG) using RGB Camera using Peak Detection Algorithm for Measurement of Heart Rate Variability (HRV) (20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.