The mission of figur8 is to provide high-quality 3D motion capture using a discreet, lightweight on-body system. It’s uniquely designed to measure both quality and quantity of movement. Wearable motion capture systems of the past have been restricted to expensive laboratory setups or low-resolution results. Plus joint
and muscle movements required multiple devices. This is the problem figur8 is here to solve. figur8 has made 3D motion capture available to everyone in one (much less expensive) easy-to-use kit. The research and development kit includes everything
to collect and analyze motion data for the purposes of training, injury prevention or answering specific research questions. The comprehensive research suite was designed with researchers, athletes and healthcare providers in mind—anyone who needs granular data on neuromuscular feedback.
This document provides a user manual for a research and development kit from figur8, Inc. that allows for collection and analysis of 3D motion capture data. The kit includes figur8 sensors, attachment tape, a charging cable, and data logging and analysis software. Sensors capture movement data and can be attached to the body with tape. Data and video are collected with the data logging app and exported for analysis in the data analysis tool, which allows graphing, statistical analysis, and video synchronization. The kit is designed for researchers, athletes, and healthcare providers to study movement.
The data required in vehicle motor cash investigation is lost and also inputs taken from eye witness , victims and police reports may not be accurate to state the cause of an accident. The death rate due to an accident on roads can be reduced by minimizing the delay in rescuing operation. In order to claim insurance detailed information is a prerequisite that how accident took place.
Internet of things–based vital sign monitoring system IJECEIAES
Wireless network technology-based internet of things (IoT) has increased significantly and exciting to study, especially vital sign monitoring (body temperature, heart rate, and blood pressure). Vital sign monitoring is crucial to carry out to strengthen medical diagnoses and the continuity of patient health. Vital sign monitoring conducted by medical personnel to diagnose the patient's health condition is still manual. Medical staff must visit patients in each room, and the equipment used is still cable-based. Vital sign examination like this is certainly not practical because it requires a long time in the process of diagnosis. The proposed vital sign monitoring system design aims to assist medical personnel in diagnosing the patient's illness. Vital sign monitoring system uses HRM-2511E sensor for heart detection, DS18b20 sensor for body temperature detection, and MPX5050DP sensor for blood pressure detection. Vital sign data processing uses a raspberry pi as a data delivery media-based internet of things (IoT). Based on the results of the vital sign data retrieval shows that the tool designed functioning correctly. The accuracy of the proposed device for body temperature is 99.51%, heart rate is 97.90%, and blood pressure is 97.69%.
In the present research, the synthesis of silver nanoparticles by the green method is done using stem and leaves aqueous
extract of Tinospora cordifolia (T.C). The pathway of nanoparticles formation is by means of reduction of silver nitrate by
extracts, which act as both reducing and capping agents. The silver nanoparticles characterized by UV-Vis-spectrometer, Fourier
transform infra-red spectroscopy, X-ray diffractometer, Scanning electron microscopy, Energy dispersive spectroscopy. The sizes
of the synthesized silver nanoparticles are found to be in the range of 27- 58 nm. The energy dispersive spectrum confirmed the
presence of silver metal. The silver nanoparticles synthesized in this process have the efficient antimicrobial activity against
pathogenic bacteria like Bacillus subtilis, Escherichia coli, Klebsiella pneumonia, proteus mirabilis, Staphylococcus aureus
and Serratia marcescens using paper disc diffusion method.
1) The document describes an IoT-based e-prognosis system that monitors patients' temperature and heartbeat using sensors. The sensors send the medical data over the Internet to be accessed by medical professionals.
2) If the system detects a constant rise in the patient's temperature, it will diagnose the issue and send treatment information and remedies to the patient, caretaker, or doctor via IoT.
3) The system is meant to help disabled or elderly people who need monitoring but may not have constant caretaker assistance. It allows remote monitoring using wearable sensors connected to the Internet.
There are a number of scopes for IoT in order to make a difference in lives of patients. The devices can capture as well as monitor related data regarding patient and allows the providers to obtain the insights without bringing the patients visiting. The procedure can assist the patient results as well as preventing the possible communications for the process that involves risk. However, lack of electronic health record (EHR) system integration is one of the major issues faced while using IoT in healthcare. Some of the EHR systems allow the patients importing data into the record. However, it remains limited to a few dominant where the EHR players as well as leaves providers unspecific of the processing data that can be helpful for the organization to use the process. The challenges for interoperability in order to keep data in distinctive medical devices depend on the purpose and ordering physician. by Vishal Dineshkumar Soni 2018. An IoT Based Patient Health Monitoring System. International Journal on Integrated Education. 1, 1 (Dec. 2018), 43-48. DOI:https://doi.org/10.31149/ijie.v1i1.481. https://journals.researchparks.org/index.php/IJIE/article/view/481/458 https://journals.researchparks.org/index.php/IJIE/article/view/481
IRJET-Experimental Investigation on the Effect of TiO2 Particles on MortarsIRJET Journal
This document describes a proposed system to monitor patient body temperature using IoT and a microservices architecture. An Arduino device with temperature sensor would collect body temperature data and send it over WiFi to a cloud system. The cloud system would use a microservices architecture with three main services: 1) an API to receive temperature data, 2) a queue to store incoming data, and 3) a computation service to analyze data for anomalies and send alerts. The system is designed to be horizontally scalable and fault tolerant to reliably process large amounts of patient monitoring data.
IRJET - An Efficient Approach for Monitoring the Patient’s Condition usin...IRJET Journal
This document describes a system that uses augmented reality and sensors to monitor patient conditions in a hospital. Sensors attached to patients measure body parameters like temperature, heartbeat, respiratory rate, blood pressure, and activity levels. A PIC microcontroller collects the sensor data and sends it wirelessly via ZigBee protocol to an augmented reality glass worn by doctors. This allows doctors to view real-time patient data directly through the glasses to monitor for any abnormal conditions and take appropriate action to treat patients. The system aims to enhance the operating environment for doctors and help them more efficiently access latest patient information and diagnostics.
This document provides a user manual for a research and development kit from figur8, Inc. that allows for collection and analysis of 3D motion capture data. The kit includes figur8 sensors, attachment tape, a charging cable, and data logging and analysis software. Sensors capture movement data and can be attached to the body with tape. Data and video are collected with the data logging app and exported for analysis in the data analysis tool, which allows graphing, statistical analysis, and video synchronization. The kit is designed for researchers, athletes, and healthcare providers to study movement.
The data required in vehicle motor cash investigation is lost and also inputs taken from eye witness , victims and police reports may not be accurate to state the cause of an accident. The death rate due to an accident on roads can be reduced by minimizing the delay in rescuing operation. In order to claim insurance detailed information is a prerequisite that how accident took place.
Internet of things–based vital sign monitoring system IJECEIAES
Wireless network technology-based internet of things (IoT) has increased significantly and exciting to study, especially vital sign monitoring (body temperature, heart rate, and blood pressure). Vital sign monitoring is crucial to carry out to strengthen medical diagnoses and the continuity of patient health. Vital sign monitoring conducted by medical personnel to diagnose the patient's health condition is still manual. Medical staff must visit patients in each room, and the equipment used is still cable-based. Vital sign examination like this is certainly not practical because it requires a long time in the process of diagnosis. The proposed vital sign monitoring system design aims to assist medical personnel in diagnosing the patient's illness. Vital sign monitoring system uses HRM-2511E sensor for heart detection, DS18b20 sensor for body temperature detection, and MPX5050DP sensor for blood pressure detection. Vital sign data processing uses a raspberry pi as a data delivery media-based internet of things (IoT). Based on the results of the vital sign data retrieval shows that the tool designed functioning correctly. The accuracy of the proposed device for body temperature is 99.51%, heart rate is 97.90%, and blood pressure is 97.69%.
In the present research, the synthesis of silver nanoparticles by the green method is done using stem and leaves aqueous
extract of Tinospora cordifolia (T.C). The pathway of nanoparticles formation is by means of reduction of silver nitrate by
extracts, which act as both reducing and capping agents. The silver nanoparticles characterized by UV-Vis-spectrometer, Fourier
transform infra-red spectroscopy, X-ray diffractometer, Scanning electron microscopy, Energy dispersive spectroscopy. The sizes
of the synthesized silver nanoparticles are found to be in the range of 27- 58 nm. The energy dispersive spectrum confirmed the
presence of silver metal. The silver nanoparticles synthesized in this process have the efficient antimicrobial activity against
pathogenic bacteria like Bacillus subtilis, Escherichia coli, Klebsiella pneumonia, proteus mirabilis, Staphylococcus aureus
and Serratia marcescens using paper disc diffusion method.
1) The document describes an IoT-based e-prognosis system that monitors patients' temperature and heartbeat using sensors. The sensors send the medical data over the Internet to be accessed by medical professionals.
2) If the system detects a constant rise in the patient's temperature, it will diagnose the issue and send treatment information and remedies to the patient, caretaker, or doctor via IoT.
3) The system is meant to help disabled or elderly people who need monitoring but may not have constant caretaker assistance. It allows remote monitoring using wearable sensors connected to the Internet.
There are a number of scopes for IoT in order to make a difference in lives of patients. The devices can capture as well as monitor related data regarding patient and allows the providers to obtain the insights without bringing the patients visiting. The procedure can assist the patient results as well as preventing the possible communications for the process that involves risk. However, lack of electronic health record (EHR) system integration is one of the major issues faced while using IoT in healthcare. Some of the EHR systems allow the patients importing data into the record. However, it remains limited to a few dominant where the EHR players as well as leaves providers unspecific of the processing data that can be helpful for the organization to use the process. The challenges for interoperability in order to keep data in distinctive medical devices depend on the purpose and ordering physician. by Vishal Dineshkumar Soni 2018. An IoT Based Patient Health Monitoring System. International Journal on Integrated Education. 1, 1 (Dec. 2018), 43-48. DOI:https://doi.org/10.31149/ijie.v1i1.481. https://journals.researchparks.org/index.php/IJIE/article/view/481/458 https://journals.researchparks.org/index.php/IJIE/article/view/481
IRJET-Experimental Investigation on the Effect of TiO2 Particles on MortarsIRJET Journal
This document describes a proposed system to monitor patient body temperature using IoT and a microservices architecture. An Arduino device with temperature sensor would collect body temperature data and send it over WiFi to a cloud system. The cloud system would use a microservices architecture with three main services: 1) an API to receive temperature data, 2) a queue to store incoming data, and 3) a computation service to analyze data for anomalies and send alerts. The system is designed to be horizontally scalable and fault tolerant to reliably process large amounts of patient monitoring data.
IRJET - An Efficient Approach for Monitoring the Patient’s Condition usin...IRJET Journal
This document describes a system that uses augmented reality and sensors to monitor patient conditions in a hospital. Sensors attached to patients measure body parameters like temperature, heartbeat, respiratory rate, blood pressure, and activity levels. A PIC microcontroller collects the sensor data and sends it wirelessly via ZigBee protocol to an augmented reality glass worn by doctors. This allows doctors to view real-time patient data directly through the glasses to monitor for any abnormal conditions and take appropriate action to treat patients. The system aims to enhance the operating environment for doctors and help them more efficiently access latest patient information and diagnostics.
IRJET - IoT based Health Monitoring System and TelemedicineIRJET Journal
This document describes an IoT-based health monitoring system and telemedicine. The system uses wearable sensors to monitor patient vital signs like temperature, blood pressure, and heart rate. The sensor data is sent wirelessly via WiFi module and stored in the cloud. Doctors can access this data to monitor patients remotely. An alert is triggered if a critical condition is detected, sending an SMS via GSM to doctors or relatives. The system uses RSA encryption to securely transmit the sensitive health data over the internet.
Healthcare Monitoring System by using iSense Device& IOT PlatformIJMTST Journal
In the recent years Wireless Sensor Network have given rise to many healthcare applications. As the cost and size of sensor devices are decreasing fast, the application areas of wireless sensor networks have also expanded rapidly.iSense are the WSN devises works under the 802.15.4 IEEE standard iSense gives both hardware and software solution to build wireless sensor application. So in this paper we used both hardware and software part of the iSense. We connected our Sensor data to the internet of things (IOT). We use some of cloud services to stores patient’s records over the cloudDatabse. MongoDB is a schema less database tool which gives interface to store patient’s records on cloud.In this paper we use cloud service as DaaS (Database as a Service). The MongoLab provides the DaaS from different service providers like Microsoft Azure, Google etc, so that our sensor data can stored on cloud by getting the services. Finally the patient’s body temperature, body activity status, alcohol content in the body all these records processed by the isenseCoremodule and can stores data on cloud, so that respective patient’s physicians can take effective and quick decisions to improve patient life by accessing cloud data from different remote locations.
IRJET- Patient Healthcare System using IoTIRJET Journal
This document proposes a patient healthcare system using IoT technology. The system would monitor patient health parameters like heartbeat, temperature, and blood pressure using sensors. The sensor data would be sent to the cloud and then to a remote doctor's location. It describes using an Arduino board connected to sensors to collect data, an ESP interface to transfer data to the cloud, and ThinkSpeak cloud platform for data analytics and monitoring. The system aims to remotely monitor patient health in real-time to improve healthcare access.
Design of Self-Learning System for Diagnosing Health Parameters using ANFISIRJET Journal
The document describes the design of a self-learning system using ANFIS (Adaptive Neuro-Fuzzy Inference System) to diagnose health parameters and predict heart diseases by monitoring electrocardiogram (ECG), pulse oximeter, and temperature sensor readings transmitted from a patient in real-time via an Arduino, ESP8266 WiFi module and ThingSpeak internet of things server. The system is intended to identify preliminary stages of heart diseases so they can be addressed early through continuous remote monitoring of vital signs and alerts sent to doctors if abnormal readings are detected.
IRJET- IoT based Patient Health Monitoring using ESP8266IRJET Journal
This document describes an IoT-based patient health monitoring system using ESP8266 and Arduino. The system measures a patient's pulse rate using a pulse sensor and surrounding temperature using a temperature sensor. It continuously monitors these values and updates them to the IoT platform ThingSpeak. The sensor readings are also displayed on an LCD screen. The system aims to remotely monitor patient health and detect any abnormalities. This can help reduce strain on medical staff and improve access to healthcare.
Sensors Wield to Detect the Behavior of HumansIRJET Journal
The document describes a device that uses sensors to detect human behavior by measuring heart rate, breathing rate, and body temperature. The device has three sensors - one to measure heart rate and two to measure body temperature and breathing rate. The sensors send data to a central computing unit which transmits the data to a smartphone via GSM module. The device aims to continuously monitor patients and alert doctors if measurements exceed thresholds. Experiments test the device on subjects in hospitals and normal populations.
IRJET- Heartbeat Monitoring System with Temperature SensorIRJET Journal
This document describes a wireless heart monitoring system that measures heartbeat, body temperature, and electrocardiogram (ECG) using sensors connected to a NodeMCU microcontroller with data stored remotely on the cloud. The system uses a heartbeat sensor, temperature sensor, and ECG sensor to continuously monitor a patient's vital signs. The NodeMCU transmits sensor data every 10 seconds to a web server hosted on the cloud. Doctors can access the medical information graphs through a secure login. The system aims to remotely monitor patients affordably in rural areas.
Survey of a Symptoms Monitoring System for Covid-19vivatechijri
The Internet of Things (IOT) depicts the organization of actual items that are implanted with sensors, programming, and different advances for the point of interfacing and trading information with different gadgets and frameworks over the web . In this day and age, there are numerous IOT based, these IOT based gadgets and machines range from wearable like brilliant watches to RFID stock following chips. IOT associated gadgets convey by means of organizations or cloud-based stages associated with the snare of Things. Among the applications that Internet of Things (IOT) encouraged to the planet , Healthcare applications are generally imperative . There are numerous wellbeing checking gadgets accessible. These framework comprises two sensors that is Heartbeat and blood heat sensor and furthermore contains Arduino UNO. This versatile gadget will screen heartbeat and blood heat utilizing sensors. The framework utilizes Arduino board which is associated with heart beat sensor and temperature sensor. The framework will take contribution from the guts beat and blood heat sensors and can send the data to Arduino. The Arduino will send the information of two sensors to LCD alphanumeric presentation . This presentation will show the perusing of the heartbeat sensor and blood heat sensor in BPM (Beats Per Minute) and in Celsius or Fahrenheit.
Design of Secured Ground Vehicle Event Data Recorder for Data AnalysisIJERA Editor
The Event Data Recorder (EDR) is now one of the important components installed in the vehicles by the automakers since it is helping in calculating an independent measurement of crash severity which is far better than the traditional systems used. There is limited research is done on the domain. In this paper we are going to propose an EDR which is based on ARM controller and will sense the alcohol, brake pressed, Speed, Location, Humidity, and Temperature. The data collected from the sensors is aggregated using a threshold-based technique, then the data is encrypted using RC6 and finally, the data is mined for knowledge using top k rules
IRJET - IoT based ICU Patient Monitoring SystemIRJET Journal
This document describes an Internet of Things (IOT) based patient monitoring system for intensive care units (ICU). The system uses sensors to monitor patients' temperature and heart rate in real-time. It sends the health data to the cloud using WiFi connectivity, allowing authorized users to access the information from anywhere via the internet. This provides doctors and family members a remote way to monitor critical patients without needing to be physically present. The system aims to make ICU monitoring more convenient and improve response time in case of emergencies.
IRJET - Arthritis Prediction using Thermal Images and Neural NetworkIRJET Journal
This document summarizes a research paper that proposes a method for early prediction of arthritis using thermal image processing and neural networks. The method involves taking thermal images of affected joints, selecting the region of interest, calculating temperature based on pixel color, and using a backpropagation neural network to predict arthritis based on the measured temperature. The paper outlines related work on arthritis detection using techniques like thermal imaging, image processing, and machine learning. It then describes the proposed methodology which includes thermal image processing to measure joint temperature and a backpropagation neural network to predict arthritis. Preliminary results show the potential of this method to predict arthritis at an early stage by analyzing temperature changes in thermal images of affected joints.
Smart Healthcare Monitoring and Tracking SystemIRJET Journal
This document summarizes a research paper on a smart healthcare monitoring and tracking system. The system uses sensors to measure a patient's heartbeat and temperature. It sends alerts by SMS to a doctor if readings are abnormal, including the patient's location from a GPS module. A web application displays the readings on a map and lists nearby doctors, finding the closest using an algorithm. The system was tested and successfully sent alerts to doctors and displayed information to patients.
IRJET- IoT based Advanced Healthcare Architecture: A New ApproachIRJET Journal
This document proposes a new IoT-based advanced healthcare architecture with remote monitoring capabilities. The architecture includes new sensors for data collection, a fog computing layer for efficient storage and real-time analysis, and disease prediction and location tracking features. Sensors continuously generate large amounts of heterogeneous data that is analyzed using machine learning algorithms to predict health conditions. Doctors and authorized users can monitor patients' health data through a website or mobile application. The system aims to improve healthcare quality by enabling real-time remote health monitoring, analysis, and automatic control of home appliances based on patients' needs.
This document describes a smart yoga instructor system that uses accelerometer sensors and an IoT platform to detect a user's yoga postures and provide feedback on correctness. Sensors placed on the user's limbs measure orientation data, which is sent to a microcontroller and then to the cloud. A mobile app accesses the cloud data to compare real-time poses to predefined poses and instruct the user. The system aims to help users practice yoga correctly anywhere without an in-person instructor.
IRJET- Analysis of Electroencephalogram (EEG) SignalsIRJET Journal
The document analyzes EEG signals to classify emotions. EEG signals were collected from 30 subjects aged 18-25 using a Neurosky Mindwave sensor with electrodes on the forehead and ear. The analog EEG data was converted to digital by an Arduino UNO and sent to a computer. Feature extraction using continuous wavelet transform, probability distribution function, peak plot, and fast Fourier transform was performed on the EEG data in LabVIEW. The analysis classified emotions with 90.69% accuracy and 85.55% sensitivity.
IRJET- Arudino based Smart IoT Food Quality Detection TechnologyIRJET Journal
This document describes a smart IoT food quality detection system that uses various sensors to test food freshness. An Arduino Uno microcontroller is used as the central processing unit, connected to sensors like a temperature sensor to measure food temperature, a pH sensor to test salt content of food, and a pollution sensor to check gas levels. An LCD display and WiFi module allow real-time monitoring and alerts. Image processing with a camera tests fruit freshness by comparing food colors to predefined images stored in an app. Together, this sensor network analyzes multiple food quality parameters to help avoid food-borne illness and ensure healthy eating.
Blue eye technology uses sensors and perceptual abilities to enable computers to identify and interact with users in a more natural way. It can recognize facial expressions, speech, and eye movements to gather information about a user's emotions, identity and intentions. The goal is to create more user-friendly systems that can adapt to a user's needs and moods. The technology has applications in monitoring operators' attention and alertness in environments like power plant control rooms. It uses hardware like microcontrollers and Bluetooth modules along with software for real-time data analysis and visualization.
IRJET- Automatic Irrigation System using Arduino UNOIRJET Journal
This document describes an automatic irrigation system that uses sensors and an Arduino Uno microcontroller to control water flow based on soil moisture levels. Soil moisture and temperature sensors send readings to the Arduino, which uses the data to activate a relay and water pump when the soil needs watering. The system aims to optimize water usage for agriculture by only irrigating according to environmental conditions and crop requirements, reducing waste from over- or under-watering with traditional techniques.
This document describes a hand gesture recognition system that uses both infrared sensors and a camera. It begins with an abstract that overviews the system. It then provides background on hand gesture recognition and discusses prior work using infrared sensors and cameras. The proposed system is described as using differential pyroelectric infrared sensors to first detect motion, and then a camera to determine if the motion is from a hand. If so, the infrared sensor signals are analyzed to classify the hand gesture. It discusses operating principles of the infrared sensors and sensor signal processing methods. Feature extraction using wavelet transforms and classification using a winner-take-all hashing method are described. The document concludes by covering hand detection using video analysis and skin detection methods.
IRJET- An Efficient Health Care System for Human Anatomy using IoTIRJET Journal
This document presents a proposed system for an efficient healthcare system using IoT (Internet of Things) technology. The system would allow for continuous remote monitoring of patients' health conditions through sensors that collect data like temperature, pulse, and alcohol levels. The sensor data would be sent to the cloud and shared with doctors and family members. If an emergency is detected based on the health data, an alert would be sent via GSM to notify the doctor. The doctor could then send any prescriptions through the cloud system to the patient. The goal is to provide better healthcare access for patients by allowing remote health monitoring and emergency detection/response through an IoT-based system.
IRJET- EVM Monitoring and Security over IoTIRJET Journal
The document proposes a design for an advanced Aadhaar and server-based electoral voting system for Indian elections that allows all voters to cast their votes via biometric Aadhaar authentication on an electronic voting machine. It aims to provide higher security during voting by creating a simultaneous backup on state/central level servers. The system seeks to replace traditional voter ID cards and voter lists by using only Aadhaar-based biometric authentication for voter verification.
Augmented Reality Design of Indonesia Fruit Recognition IJECEIAES
Augmented Reality (AR) is one of the popular technologies nowadays. Along with the technological advances, Augmented Reality is an effort to combine the real world and virtual worlds created through computers so that the boundary between the two becomes very thin because Augmented Reality allows users to interact in real-time with the system. Augmented Reality can be applied in various fields according to the needs of each user. One application is on Android-based mobile hardware applications. This research developed the Augmented Reality battle with some of the features more interactive, interesting and clearer information to facilitate the user in its operation. This Augmented Reality is applied to the Android mobile device with the name of FruitGarden. This paper presented of designing Augmented Reality for recognizing the fruit of Indonesia archipelago which will give a different view of performing the fruit image and information.
IRJET - IoT based Health Monitoring System and TelemedicineIRJET Journal
This document describes an IoT-based health monitoring system and telemedicine. The system uses wearable sensors to monitor patient vital signs like temperature, blood pressure, and heart rate. The sensor data is sent wirelessly via WiFi module and stored in the cloud. Doctors can access this data to monitor patients remotely. An alert is triggered if a critical condition is detected, sending an SMS via GSM to doctors or relatives. The system uses RSA encryption to securely transmit the sensitive health data over the internet.
Healthcare Monitoring System by using iSense Device& IOT PlatformIJMTST Journal
In the recent years Wireless Sensor Network have given rise to many healthcare applications. As the cost and size of sensor devices are decreasing fast, the application areas of wireless sensor networks have also expanded rapidly.iSense are the WSN devises works under the 802.15.4 IEEE standard iSense gives both hardware and software solution to build wireless sensor application. So in this paper we used both hardware and software part of the iSense. We connected our Sensor data to the internet of things (IOT). We use some of cloud services to stores patient’s records over the cloudDatabse. MongoDB is a schema less database tool which gives interface to store patient’s records on cloud.In this paper we use cloud service as DaaS (Database as a Service). The MongoLab provides the DaaS from different service providers like Microsoft Azure, Google etc, so that our sensor data can stored on cloud by getting the services. Finally the patient’s body temperature, body activity status, alcohol content in the body all these records processed by the isenseCoremodule and can stores data on cloud, so that respective patient’s physicians can take effective and quick decisions to improve patient life by accessing cloud data from different remote locations.
IRJET- Patient Healthcare System using IoTIRJET Journal
This document proposes a patient healthcare system using IoT technology. The system would monitor patient health parameters like heartbeat, temperature, and blood pressure using sensors. The sensor data would be sent to the cloud and then to a remote doctor's location. It describes using an Arduino board connected to sensors to collect data, an ESP interface to transfer data to the cloud, and ThinkSpeak cloud platform for data analytics and monitoring. The system aims to remotely monitor patient health in real-time to improve healthcare access.
Design of Self-Learning System for Diagnosing Health Parameters using ANFISIRJET Journal
The document describes the design of a self-learning system using ANFIS (Adaptive Neuro-Fuzzy Inference System) to diagnose health parameters and predict heart diseases by monitoring electrocardiogram (ECG), pulse oximeter, and temperature sensor readings transmitted from a patient in real-time via an Arduino, ESP8266 WiFi module and ThingSpeak internet of things server. The system is intended to identify preliminary stages of heart diseases so they can be addressed early through continuous remote monitoring of vital signs and alerts sent to doctors if abnormal readings are detected.
IRJET- IoT based Patient Health Monitoring using ESP8266IRJET Journal
This document describes an IoT-based patient health monitoring system using ESP8266 and Arduino. The system measures a patient's pulse rate using a pulse sensor and surrounding temperature using a temperature sensor. It continuously monitors these values and updates them to the IoT platform ThingSpeak. The sensor readings are also displayed on an LCD screen. The system aims to remotely monitor patient health and detect any abnormalities. This can help reduce strain on medical staff and improve access to healthcare.
Sensors Wield to Detect the Behavior of HumansIRJET Journal
The document describes a device that uses sensors to detect human behavior by measuring heart rate, breathing rate, and body temperature. The device has three sensors - one to measure heart rate and two to measure body temperature and breathing rate. The sensors send data to a central computing unit which transmits the data to a smartphone via GSM module. The device aims to continuously monitor patients and alert doctors if measurements exceed thresholds. Experiments test the device on subjects in hospitals and normal populations.
IRJET- Heartbeat Monitoring System with Temperature SensorIRJET Journal
This document describes a wireless heart monitoring system that measures heartbeat, body temperature, and electrocardiogram (ECG) using sensors connected to a NodeMCU microcontroller with data stored remotely on the cloud. The system uses a heartbeat sensor, temperature sensor, and ECG sensor to continuously monitor a patient's vital signs. The NodeMCU transmits sensor data every 10 seconds to a web server hosted on the cloud. Doctors can access the medical information graphs through a secure login. The system aims to remotely monitor patients affordably in rural areas.
Survey of a Symptoms Monitoring System for Covid-19vivatechijri
The Internet of Things (IOT) depicts the organization of actual items that are implanted with sensors, programming, and different advances for the point of interfacing and trading information with different gadgets and frameworks over the web . In this day and age, there are numerous IOT based, these IOT based gadgets and machines range from wearable like brilliant watches to RFID stock following chips. IOT associated gadgets convey by means of organizations or cloud-based stages associated with the snare of Things. Among the applications that Internet of Things (IOT) encouraged to the planet , Healthcare applications are generally imperative . There are numerous wellbeing checking gadgets accessible. These framework comprises two sensors that is Heartbeat and blood heat sensor and furthermore contains Arduino UNO. This versatile gadget will screen heartbeat and blood heat utilizing sensors. The framework utilizes Arduino board which is associated with heart beat sensor and temperature sensor. The framework will take contribution from the guts beat and blood heat sensors and can send the data to Arduino. The Arduino will send the information of two sensors to LCD alphanumeric presentation . This presentation will show the perusing of the heartbeat sensor and blood heat sensor in BPM (Beats Per Minute) and in Celsius or Fahrenheit.
Design of Secured Ground Vehicle Event Data Recorder for Data AnalysisIJERA Editor
The Event Data Recorder (EDR) is now one of the important components installed in the vehicles by the automakers since it is helping in calculating an independent measurement of crash severity which is far better than the traditional systems used. There is limited research is done on the domain. In this paper we are going to propose an EDR which is based on ARM controller and will sense the alcohol, brake pressed, Speed, Location, Humidity, and Temperature. The data collected from the sensors is aggregated using a threshold-based technique, then the data is encrypted using RC6 and finally, the data is mined for knowledge using top k rules
IRJET - IoT based ICU Patient Monitoring SystemIRJET Journal
This document describes an Internet of Things (IOT) based patient monitoring system for intensive care units (ICU). The system uses sensors to monitor patients' temperature and heart rate in real-time. It sends the health data to the cloud using WiFi connectivity, allowing authorized users to access the information from anywhere via the internet. This provides doctors and family members a remote way to monitor critical patients without needing to be physically present. The system aims to make ICU monitoring more convenient and improve response time in case of emergencies.
IRJET - Arthritis Prediction using Thermal Images and Neural NetworkIRJET Journal
This document summarizes a research paper that proposes a method for early prediction of arthritis using thermal image processing and neural networks. The method involves taking thermal images of affected joints, selecting the region of interest, calculating temperature based on pixel color, and using a backpropagation neural network to predict arthritis based on the measured temperature. The paper outlines related work on arthritis detection using techniques like thermal imaging, image processing, and machine learning. It then describes the proposed methodology which includes thermal image processing to measure joint temperature and a backpropagation neural network to predict arthritis. Preliminary results show the potential of this method to predict arthritis at an early stage by analyzing temperature changes in thermal images of affected joints.
Smart Healthcare Monitoring and Tracking SystemIRJET Journal
This document summarizes a research paper on a smart healthcare monitoring and tracking system. The system uses sensors to measure a patient's heartbeat and temperature. It sends alerts by SMS to a doctor if readings are abnormal, including the patient's location from a GPS module. A web application displays the readings on a map and lists nearby doctors, finding the closest using an algorithm. The system was tested and successfully sent alerts to doctors and displayed information to patients.
IRJET- IoT based Advanced Healthcare Architecture: A New ApproachIRJET Journal
This document proposes a new IoT-based advanced healthcare architecture with remote monitoring capabilities. The architecture includes new sensors for data collection, a fog computing layer for efficient storage and real-time analysis, and disease prediction and location tracking features. Sensors continuously generate large amounts of heterogeneous data that is analyzed using machine learning algorithms to predict health conditions. Doctors and authorized users can monitor patients' health data through a website or mobile application. The system aims to improve healthcare quality by enabling real-time remote health monitoring, analysis, and automatic control of home appliances based on patients' needs.
This document describes a smart yoga instructor system that uses accelerometer sensors and an IoT platform to detect a user's yoga postures and provide feedback on correctness. Sensors placed on the user's limbs measure orientation data, which is sent to a microcontroller and then to the cloud. A mobile app accesses the cloud data to compare real-time poses to predefined poses and instruct the user. The system aims to help users practice yoga correctly anywhere without an in-person instructor.
IRJET- Analysis of Electroencephalogram (EEG) SignalsIRJET Journal
The document analyzes EEG signals to classify emotions. EEG signals were collected from 30 subjects aged 18-25 using a Neurosky Mindwave sensor with electrodes on the forehead and ear. The analog EEG data was converted to digital by an Arduino UNO and sent to a computer. Feature extraction using continuous wavelet transform, probability distribution function, peak plot, and fast Fourier transform was performed on the EEG data in LabVIEW. The analysis classified emotions with 90.69% accuracy and 85.55% sensitivity.
IRJET- Arudino based Smart IoT Food Quality Detection TechnologyIRJET Journal
This document describes a smart IoT food quality detection system that uses various sensors to test food freshness. An Arduino Uno microcontroller is used as the central processing unit, connected to sensors like a temperature sensor to measure food temperature, a pH sensor to test salt content of food, and a pollution sensor to check gas levels. An LCD display and WiFi module allow real-time monitoring and alerts. Image processing with a camera tests fruit freshness by comparing food colors to predefined images stored in an app. Together, this sensor network analyzes multiple food quality parameters to help avoid food-borne illness and ensure healthy eating.
Blue eye technology uses sensors and perceptual abilities to enable computers to identify and interact with users in a more natural way. It can recognize facial expressions, speech, and eye movements to gather information about a user's emotions, identity and intentions. The goal is to create more user-friendly systems that can adapt to a user's needs and moods. The technology has applications in monitoring operators' attention and alertness in environments like power plant control rooms. It uses hardware like microcontrollers and Bluetooth modules along with software for real-time data analysis and visualization.
IRJET- Automatic Irrigation System using Arduino UNOIRJET Journal
This document describes an automatic irrigation system that uses sensors and an Arduino Uno microcontroller to control water flow based on soil moisture levels. Soil moisture and temperature sensors send readings to the Arduino, which uses the data to activate a relay and water pump when the soil needs watering. The system aims to optimize water usage for agriculture by only irrigating according to environmental conditions and crop requirements, reducing waste from over- or under-watering with traditional techniques.
This document describes a hand gesture recognition system that uses both infrared sensors and a camera. It begins with an abstract that overviews the system. It then provides background on hand gesture recognition and discusses prior work using infrared sensors and cameras. The proposed system is described as using differential pyroelectric infrared sensors to first detect motion, and then a camera to determine if the motion is from a hand. If so, the infrared sensor signals are analyzed to classify the hand gesture. It discusses operating principles of the infrared sensors and sensor signal processing methods. Feature extraction using wavelet transforms and classification using a winner-take-all hashing method are described. The document concludes by covering hand detection using video analysis and skin detection methods.
IRJET- An Efficient Health Care System for Human Anatomy using IoTIRJET Journal
This document presents a proposed system for an efficient healthcare system using IoT (Internet of Things) technology. The system would allow for continuous remote monitoring of patients' health conditions through sensors that collect data like temperature, pulse, and alcohol levels. The sensor data would be sent to the cloud and shared with doctors and family members. If an emergency is detected based on the health data, an alert would be sent via GSM to notify the doctor. The doctor could then send any prescriptions through the cloud system to the patient. The goal is to provide better healthcare access for patients by allowing remote health monitoring and emergency detection/response through an IoT-based system.
IRJET- EVM Monitoring and Security over IoTIRJET Journal
The document proposes a design for an advanced Aadhaar and server-based electoral voting system for Indian elections that allows all voters to cast their votes via biometric Aadhaar authentication on an electronic voting machine. It aims to provide higher security during voting by creating a simultaneous backup on state/central level servers. The system seeks to replace traditional voter ID cards and voter lists by using only Aadhaar-based biometric authentication for voter verification.
Augmented Reality Design of Indonesia Fruit Recognition IJECEIAES
Augmented Reality (AR) is one of the popular technologies nowadays. Along with the technological advances, Augmented Reality is an effort to combine the real world and virtual worlds created through computers so that the boundary between the two becomes very thin because Augmented Reality allows users to interact in real-time with the system. Augmented Reality can be applied in various fields according to the needs of each user. One application is on Android-based mobile hardware applications. This research developed the Augmented Reality battle with some of the features more interactive, interesting and clearer information to facilitate the user in its operation. This Augmented Reality is applied to the Android mobile device with the name of FruitGarden. This paper presented of designing Augmented Reality for recognizing the fruit of Indonesia archipelago which will give a different view of performing the fruit image and information.
Voice Assistance Based Remote Surveillance SystemIRJET Journal
This document describes a voice assistance-based remote surveillance system that uses an ESP32 Cam module. The system detects motion using a PIR sensor which triggers the camera to capture images and video. It then performs face recognition on the images using Python and TensorFlow to identify if the captured person is known or unknown. For unknown persons, it generates a voice alert using text-to-speech and can also send an email notification to the owner. The system provides real-time video streaming, remote monitoring capabilities, and voice alerts for intrusion detection at low cost. It is developed using Python for image processing and GUI creation, and Arduino IDE for programming the ESP32 camera module.
IRJET- Smart Authentication System for AirportIRJET Journal
1. The document describes a smart authentication system for airports that uses a PIR sensor, camera, computer system, and image processing to detect intruders.
2. When a PIR sensor detects motion, it signals the computer system to activate the camera to capture an image. The image is then compared to images in a database using LBPH and HOG algorithms for face recognition.
3. If the image matches one in the database, information about that person is sent to the owner by email. If it doesn't match, only the image and timestamp are sent. The system was tested on 20 images in a database and achieved an average efficiency of 97.8%.
Smart Wearable System For Patients With Respiratory DisordersUsing IOTIRJET Journal
This document describes a smart wearable system for patients with respiratory disorders using IoT. The system monitors patients' vital signs like heart rate, temperature, blood oxygen levels, etc. using sensors. It sends this data to the cloud for analysis and alerts doctors if thresholds are exceeded. An Android app allows doctors to monitor patients remotely and receive emergency notifications. The system aims to help manage respiratory conditions and detect exacerbations early through continuous remote monitoring.
IRJET- Iot Based Home Visitor Monitoring System using Raspberry PiIRJET Journal
This document describes an IOT based home visitor monitoring system using a Raspberry Pi. The system uses a Raspberry Pi single board with Wi-Fi connectivity. A camera detects faces at the door and captures images, which are processed using local binary pattern histograms for face recognition. If an unrecognized face is detected, a video is captured and streamed to a webpage using RTSP protocol. This allows remote users to view the live video stream through a web browser on their android mobile phones. The system aims to provide a low-cost and effective home security and surveillance solution using Raspberry Pi and IOT technologies.
This document describes a motion activated security system built using a Raspberry Pi, camera module, and Pushbullet app. The system is designed to detect motion using the camera module. When motion is detected, the Raspberry Pi will capture an image and video and send a notification to the user's phone via the Pushbullet app along with the image and ability to view the video. The system is low cost and provides real-time alerts to users via their mobile device when motion is detected at the monitored location.
IRJET - Home Automation for Physically Challenged and Elder PeopleIRJET Journal
This document describes a home automation system designed to help physically challenged and elderly people control appliances in their homes remotely. The system uses an Arduino board connected to sensors like a passive infrared sensor for motion detection, an IR receiver for remote control, and relays to control electrical devices. An ESP8266 module enables wireless control via an Android app, allowing users to operate appliances from their phones. The system is intended to assist people who have difficulty with mobility or need help with daily tasks by automating electrical devices in their homes through simple remote access. Evaluation of the system found that it allows physically challenged users to fulfill their needs independently by controlling appliances on their own from a distance.
IRJET- Information Logging and Investigation of Control Framework Utilizing D...IRJET Journal
This document discusses the design and implementation of an information logging and investigation system using different communication protocols. The system is designed to automatically and configurable log fault data packets from various sensors to monitor system performance. It uses LabVIEW software to design program codes to read, monitor, and display system parameters in real-time from sensors measuring temperature, humidity, etc. The system has hardware components like a microcontroller and sensors, and can interface with devices using protocols like UART, CAN, Ethernet to extract and log data and transmit it to an end user.
Our day-to-day lives are filled with situations
where we need to prove who we are; may it be for personal
reasons or as part of your profession. Locks are to be opened,
e-mail accounts are to be accessed and purchases are to be
made – but only by the person correctly authorized to do so.
This document describes a smart and low-cost surveillance system using a Raspberry Pi, USB camera, PIR sensor, and motion detection algorithm. The system is designed for highly secured areas and overcomes issues with traditional CCTV like high storage requirements and 24/7 monitoring needs. When motion is detected by the PIR sensor or camera, the system sends a short link to the user's phone to view the live video stream. It also saves images for review and uses motion detection to only store images where motion occurred, reducing storage needs. The system is intended to provide a secure, affordable, and efficient surveillance solution.
IRJET - IoT based Portable Attendance SystemIRJET Journal
This document describes the design and implementation of a portable IoT-based fingerprint attendance system. The system uses a fingerprint sensor module connected to a NodeMCU ESP8266 microcontroller to scan and identify fingerprints. Registered user fingerprints and attendance data are stored in a Firebase database in the cloud. When a fingerprint is scanned, it is matched to the database to mark the user as present. An OLED display shows the user name. This system provides a wireless, portable alternative to traditional paper-based attendance methods that saves time and prevents fake attendance issues. It accurately tracks attendance using biometric fingerprint identification and IoT connectivity.
IRJET - Door Lock Control using Wireless BiometricIRJET Journal
This document describes a door lock control system that uses wireless biometrics. The system uses fingerprint recognition technology to unlock a door. An Arduino board controls a servo motor that locks and unlocks the door. It communicates wirelessly with an Android application over Bluetooth. When a matching fingerprint is detected by the app, it sends a signal to the Arduino board to unlock the door by turning the servo motor. This provides secure, contactless access to doors without requiring keys. The system aims to provide biometric security access at a lower cost than traditional solutions.
IRJET- Intrusion Detection through Image Processing and Getting Notified ...IRJET Journal
This document describes a proposed smart home intrusion detection system that uses image processing, face recognition, and notification technologies. The system would use an infrared camera and sensors to detect intruders, capture images of their faces, compare the images to a database to identify known intruders, and immediately notify home owners via mobile app with push notifications and images of the intruders. It discusses the system architecture, use of Raspberry Pi, image processing algorithms like LBPH, challenges with current systems, and outlines the development of an Android mobile app to facilitate user notifications.
IRJET- Sixth Sense Technology in Image ProcessingIRJET Journal
This document describes sixth sense technology, which allows users to interact with digital information by using hand gestures that are detected by a camera. The technology was developed by Pranav Mistry to bridge the gap between the digital and physical worlds. It consists of a camera, projector, mirror, mobile phone, and colored markers on the fingers. The camera detects hand gestures and objects, and the projector displays related digital information onto physical surfaces. Pattern matching through image processing is used to recognize hand gestures and colors and trigger the appropriate responses from the sixth sense device. This technology has applications in areas like maps, drawing, calling, and photos.
IRJET- Body Sensor Network using Raspberry Pi3: IoTIRJET Journal
This document proposes a body sensor network system using a Raspberry Pi 3 that can monitor health parameters like temperature, heart rate, and detect emergencies by sending alerts to doctors and caregivers. The system uses various sensors connected to a Raspberry Pi 3 to measure vital signs, and if any parameters exceed thresholds, it sends notifications through WiFi to a server and alerts caregivers through SMS. The proposed system aims to remotely monitor patients in real-time using IoT technologies like sensors and cloud computing for improved healthcare.
IRJET- Machine Learning for Weather Prediction and Forecasting for Local Weat...IRJET Journal
This document summarizes a research project that uses machine learning and Internet of Things (IoT) technologies to monitor local weather conditions and predict future weather values. Sensors are used to monitor temperature, humidity, and pressure at a local weather station. The sensed data is sent to a cloud platform via a Wi-Fi module and microcontroller. A machine learning model called ARIMA (Auto Regressive Integrated Moving Average) analyzes the time series sensor data to predict future weather values. The predicted values are then displayed on a website to provide localized weather forecasts for that specific area. The system provides a portable alternative to existing weather websites by focusing on microclimate changes for a particular local zone.
Cloud Computing –Analysing Healthcare and ECG Monitoring systemIJSRED
This document summarizes a research paper on developing a wireless ECG monitoring system connected to cloud servers via an Android phone acting as a hub. The system is able to record ECG signals from users, transfer the data to the phone, store it locally, upload it to cloud servers, and display it. The system architecture includes sensor, transmission, and server components. Testing showed the system was successful in transferring and displaying ECG data 90% of the time.
IRJET - IoT based Anti Theft Detection and Alerting System using Raspberry PiIRJET Journal
This document describes an IOT-based anti-theft detection and alert system using a Raspberry Pi. The system uses a PIZO sensor to detect movement on the floor of a home or building. When movement is detected, the Raspberry Pi processes the signal and moves a connected camera to the area to capture an image. The image is then transmitted over the internet to alert the home owner via email. The system aims to securely monitor a property and notify owners of intruders even when they are away from the location.
IRJET- IoT based Facial Recognition Biometric AttendanceIRJET Journal
1. The document proposes an IoT-based facial recognition system for automated student attendance marking using a Raspberry Pi.
2. The system uses a web camera to capture student faces, detects faces in images using Haar cascades, encodes faces using Local Binary Patterns (LBP), and recognizes faces to mark attendance in a database.
3. By automating attendance marking through facial recognition, the proposed system aims to save time compared to manual methods, eliminate proxy attendance issues, and mark attendance periodically in classes without disruption.
Similar to Figur8 Research and development kit user manual (20)
Situation: "Domus Tea” is a unique restaurant concept slated to open its first location in the Washington, DC, area in spring, 2019. Domus Tea is a sophisticated, health-conscious cafe that combines leisure time for adults with supervised play spaces for children. Project is lead by higly experienced team in HoRaCe and board of international experts.
Goal: Create an appelaing pitch deck for seed round and partnership biulding.
Solution:
- Competitor analysis;
- Structure and sotryline;
- Unique design of Pitch deck
This short document appears to be about wireless charging of a device. It mentions pairing, being connected, and having a full charge, suggesting the device was successfully paired and is now fully charged wirelessly.
This short document appears to be about wireless charging of a device. It mentions pairing, being connected, and having a full charge, suggesting the device was successfully paired and charged wirelessly until fully charged.
From eye tracking to deep learning - how technology will change the way we in...Kamilė Butkevičiūtė
EEG devices and eyetracking technology can provide insights into consumer engagement and behavior. EEG monitors brain activity and can track meditation progress or engagement with content. Eyetracking determines where a person looks and can enhance gaming, movies, and usability testing. These technologies combined with sensors, facial recognition, and attention prediction algorithms will change how brands interact with consumers by providing personalized experiences and feedback.
This document summarizes a project funded by the European Union to promote Fair Trade in 3 partner countries through educational activities targeting youth. The project reached over 162,000 people through activities like Fair Trade booths at festivals, educational cartoons about Fair Trade, and a game app to teach about Fair Trade supply chains. These activities aimed to raise awareness of Fair Trade and encourage choosing Fair Trade certified products. Evaluation found they educated over 2,000 game players and engaged tens of thousands of additional people through other events and materials. The overall goal was to contribute to global development by expanding the Fair Trade movement.
Socialinėms (visuomeninėms) kampanijoms labai svarbus matomumas. Norint pasiekti kuo daugiau žmonių reikia tinkamai suplanuoti kampanijos komunikaciją. Šiame pristatyme pateikiu komunikacijos ABC kartu su sėkmingų kampanijų pavyzdžiais.
Pranešimas buvo pristatytas projekto Orus darbas - orus gyvenimas mokymų metu.
Saugumas man patinka! - edukacinės programos jaunimui. pagrindinis programos tikslas kalbėti su jaunimu apie saugumą elektroninėje erdvėje, suteikti jiems praktinių patarimų kaip apsaugoti save elektroninėje erdvėje. Programa taip pat siekia kovoti su patyčiomis elektroninėje erdvėje skatindama neigiamą jaunimo požiūrį į patyčias.
The document discusses best practices from organizations in Estonia working to combat violence against women. It provides background on the establishment of women's shelters starting in 2002. It describes the challenges faced by the shelters during an economic recession in 2009, including decreased funding and a draft law that would have undermined shelter services. The shelters' union lobbied to ensure the continued operations and sustainability of shelters during this difficult period.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Trusted Execution Environment for Decentralized Process MiningLucaBarbaro3
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
FREE A4 Cyber Security Awareness Posters-Social Engineering part 3Data Hops
Free A4 downloadable and printable Cyber Security, Social Engineering Safety and security Training Posters . Promote security awareness in the home or workplace. Lock them Out From training providers datahops.com