This paper presented an automatic healthcare system where the system able to help and facilitates the paralysis patient to complete their daily life. When a patient suffers from a paralysis attack, the whole or partial of their body maybe disabled to move which means their movement is restricted and they also barely to communicate with anyone because they are unable to speak like a normal person. It will be hard for medical staff to understand what they want to convey and in helping them to manage their daily needs such as eating, drinking, bathing and etc. By developing this project, the health officer can assist the paralyzed patient when they are alerted by the message from patient via GSM network. There are several instruction of movement gesture sensor presented in this paper in order to assist health officer in helping the paralyzed patient to complete their needs. Whenever the patient gives the simple hand movement instruction, then it will be delivered through SMS and the alerted notice will be display on notification board to alert the health officers for assisting the patient.
This document describes a process for developing a system for silent speech recognition using facial feature tracking and analysis. It involves capturing video of a person's face, segmenting the skin and locating features like the lips, eyes and nose. The lip movements are tracked over multiple frames to build a lip montage and threshold values for words. These templates are matched to a database to output text and audio of what was said silently. Initial results obtained using this methodology are promising for enabling communication without sound.
complete seminar report on the topic silent sound technology given by raj niranjan in MCA department of BMS Institute of Technology and Management , avalahalli,bangalore ,karnataka
As Digital Still Cameras (DSC) become smaller, cheaper and higher in resolution, photographs are increasingly prone to blurring from shaky hands. Optical image stabilization (OIS) is an effective solution that addresses the quality of images, and is an idea that has been around for at least 30 years. It has only recently made its way into the low-cost consumer camera market, and will soon be migrating to the higher end camera phones. This paper provides an overview of common design practices and considerations for optical image stabilization and how silicon-based MEMS dual-axis gyroscopes with their size, cost and performance advantages are enabling this vital function for image capturing devices
Imagine a vitamin pill-sized camera that could travel through your body taking pictures, helping diagnose a problem which doctor previously would have found only through surgery.
This document presents information on silent sound technology. It discusses how the technology was developed at the Karlsruhe Institute of Technology in Germany to detect lip movements and convert them into sound signals without actual sounds. It works by using electromyography to measure facial muscle activity and image processing of lip movements. The technology allows for silent phone calls and could benefit those who have lost their voice or need to communicate quietly. Future applications include use in space and by the military, with continued research seeking to improve the technology.
silent sound technology final report(17321A0432) (1).pdfssuser476810
The document is a seminar report on silent sound technology submitted by Divya Alugubelli. It discusses the need for silent sound technology, which allows communication without noise pollution by detecting lip movements and converting them to sound signals. The report covers two main methods - electromyography and image processing. Electromyography monitors tiny muscle movements during speech and converts them to electrical pulses that can be translated to sound. Image processing techniques detect lip movements through a webcam and analyze the images. The technology has applications in helping those who have lost their voice and allows silent calling without disturbing others.
Wearable Computing and Human Computer InterfacesJeffrey Funk
These slides discuss how improvements in ICs, MEMS, cameras, and other electronic components are making wearable computing and new forms of human-computer interfaces economically feasible. Improvements in digital signal processing ICs and MEMS-based microphones are rapidly improving the technical and economical feasibility of voice-recognition based interfaces. Improvements in 2D and 3D image sensors (e.g., camera ICs) are rapidly improving the technical and economical feasibility of gesture-based interfaces, augmented reality, and virtual reality. Improvements in ICs, MEMS, displays and other components are rapidly making many forms of wearable computing economically feasible; these include many forms of head, arm, torso, and leg-mounted displays. Improvements in the materials for both non-invasive and invasive brain scans are rapidly improving the technical and economical feasibility of neural interfaces.
This document describes a process for developing a system for silent speech recognition using facial feature tracking and analysis. It involves capturing video of a person's face, segmenting the skin and locating features like the lips, eyes and nose. The lip movements are tracked over multiple frames to build a lip montage and threshold values for words. These templates are matched to a database to output text and audio of what was said silently. Initial results obtained using this methodology are promising for enabling communication without sound.
complete seminar report on the topic silent sound technology given by raj niranjan in MCA department of BMS Institute of Technology and Management , avalahalli,bangalore ,karnataka
As Digital Still Cameras (DSC) become smaller, cheaper and higher in resolution, photographs are increasingly prone to blurring from shaky hands. Optical image stabilization (OIS) is an effective solution that addresses the quality of images, and is an idea that has been around for at least 30 years. It has only recently made its way into the low-cost consumer camera market, and will soon be migrating to the higher end camera phones. This paper provides an overview of common design practices and considerations for optical image stabilization and how silicon-based MEMS dual-axis gyroscopes with their size, cost and performance advantages are enabling this vital function for image capturing devices
Imagine a vitamin pill-sized camera that could travel through your body taking pictures, helping diagnose a problem which doctor previously would have found only through surgery.
This document presents information on silent sound technology. It discusses how the technology was developed at the Karlsruhe Institute of Technology in Germany to detect lip movements and convert them into sound signals without actual sounds. It works by using electromyography to measure facial muscle activity and image processing of lip movements. The technology allows for silent phone calls and could benefit those who have lost their voice or need to communicate quietly. Future applications include use in space and by the military, with continued research seeking to improve the technology.
silent sound technology final report(17321A0432) (1).pdfssuser476810
The document is a seminar report on silent sound technology submitted by Divya Alugubelli. It discusses the need for silent sound technology, which allows communication without noise pollution by detecting lip movements and converting them to sound signals. The report covers two main methods - electromyography and image processing. Electromyography monitors tiny muscle movements during speech and converts them to electrical pulses that can be translated to sound. Image processing techniques detect lip movements through a webcam and analyze the images. The technology has applications in helping those who have lost their voice and allows silent calling without disturbing others.
Wearable Computing and Human Computer InterfacesJeffrey Funk
These slides discuss how improvements in ICs, MEMS, cameras, and other electronic components are making wearable computing and new forms of human-computer interfaces economically feasible. Improvements in digital signal processing ICs and MEMS-based microphones are rapidly improving the technical and economical feasibility of voice-recognition based interfaces. Improvements in 2D and 3D image sensors (e.g., camera ICs) are rapidly improving the technical and economical feasibility of gesture-based interfaces, augmented reality, and virtual reality. Improvements in ICs, MEMS, displays and other components are rapidly making many forms of wearable computing economically feasible; these include many forms of head, arm, torso, and leg-mounted displays. Improvements in the materials for both non-invasive and invasive brain scans are rapidly improving the technical and economical feasibility of neural interfaces.
This document discusses silent sound technology, which allows people to communicate without making audible sounds. It works by detecting tiny muscular movements in the lips during speech using electromyography or image processing techniques. This information is then converted to electrical signals and transmitted as synthesized speech. The technology could help those who have lost their voice or have speech impediments to communicate over the phone or translate between languages. However, it faces restrictions for tonal languages and in differentiating between speakers.
This document discusses silent sound technology, which allows people to have phone conversations without making any sounds. It works by using electromyography to detect the tiny muscle movements involved in speech and converting those signals into computer-generated audio that is transmitted to the other caller. The technology has applications for situations where sound needs to be muted, such as in meetings or for astronauts in space. However, it still faces limitations like needing electrodes attached to the face and having difficulties with tonal languages. Future improvements could make the electrodes portable and add lip-reading capabilities.
The document summarizes an ultrasonic radar project presented by students. It includes an introduction to radar technology and ultrasonic sensors. It describes the components used - an Arduino board, ultrasonic sensor, and servo motor. It explains how ultrasonic pulses detect distance and the servo motor rotates the sensor to map surroundings. Distances are plotted on a graph using Processing IDE to simulate radar detection of objects. Potential applications of radar technology are discussed like air traffic control and security systems.
This document summarizes a mini project on a wireless ECG system. It discusses the components of the ECG circuit including electrodes, an instrumentation amplifier, band pass filter, operational amplifier and Bluetooth module. The circuit is powered through batteries and transmits the ECG data wirelessly via Bluetooth to be displayed on a laptop or LCD screen. The document outlines the challenges faced such as noise, errors, power consumption and wireless interfacing which the team is working to address to create a functional three lead wireless ECG output.
Substation Monitoring and Control Based on Microcontroller Using IoTIRJET Journal
This document describes a system for substation monitoring and control using an IoT approach. Sensors are used to measure voltage, current, and temperature. An Arduino microcontroller collects data from the sensors and sends it over an IoT module to a remote computer. The system allows monitoring and control of substations in real-time from a remote location. Relays controlled by the microcontroller can automatically shut off power to parts of the substation if faults are detected. This provides improved safety and efficiency for substation management.
This document describes the design and implementation of a real-time vein imaging device. The goals were to create a portable, user-friendly, and cost-effective device to help doctors easily detect veins for procedures like drawing blood. The device uses near-infrared light to illuminate veins and a camera to display them. Prototypes were tested on subjects of various ages and skin types. The results showed promise for helping medical professionals, though limitations included lower visibility for some users. Future work aims to address limitations and make the device more accessible.
The document discusses the evolution of the internet from 2D to 3D. It describes how the internet started as static web pages (Web 1.0) and evolved to allow user interaction and content creation (Web 2.0). Web 3.0 aims to integrate raw data processing to provide personalized recommendations to users. 3D internet takes this further by creating immersive virtual 3D environments where users interact through avatars. The key characteristics of 3D internet include intelligence, interactivity, real-time experiences, cross-modality, collaboration and ability to transport 3D multimedia content. The architecture of 3D internet is similar to traditional internet but represents users and services through avatars and 3D graphics in virtual worlds.
The document discusses silent sound technology, which allows for silent communication by analyzing muscle movements in the face and converting them to audible speech. It does this through electromyography and image processing. Electromyography monitors tiny muscle movements in the face when speaking and converts them to electrical signals that can be translated to speech. Image processing analyzes images of lip movements to identify sounds. The technology has applications for helping people who have lost their voice or allowing silent phone calls. It works by attaching sensors to the face to record muscle signals when speaking, which are matched to sound patterns to transmit speech without making noise.
IRJET - Women’s Safety System using IoTIRJET Journal
The document describes a women's safety system using IoT. The system uses an Arduino board connected to a GSM module to send emergency SMS messages with GPS location data. It also uses an accelerometer sensor and panic button to detect dangerous falls or when the button is pressed. The location is continuously updated on a webpage using an IoT module. When activated, the system sends an SMS with location to registered contacts and police and sounds an alarm using a buzzer. The small, portable design aims to provide safety for women anywhere by allowing remote monitoring via IoT and alerting others in emergency situations.
A SURVEY ON KIDNEY STONE DETECTION USING IMAGE PROCESSING AND DEEP LEARNINGIRJET Journal
The document describes a study on detecting kidney stones using image processing and deep learning techniques. The researchers preprocessed CT and MRI scan images of kidney stones using techniques like gray level co-occurrence matrix for feature extraction. They then trained a convolutional neural network (CNN) model on the images to classify kidney stones. The CNN model consisted of convolution, ReLU, pooling and fully connected layers. The trained model could accurately detect and classify kidney stones in input images. The researchers concluded that combining image processing and deep learning was an effective method for automated kidney stone detection.
Securing the Healthcare Industry : Implantable Medical DevicesTandhy Simanjuntak
This document discusses implantable medical devices (IMDs) such as pacemakers, insulin pumps, and neurostimulators. It outlines the types of IMDs commonly used in the US and provides examples. It then discusses the security risks and challenges associated with IMDs, including potential attacks such as reprogramming devices or depleting their resources. Criteria for improving IMD security and privacy are proposed.
Hand talk (assistive technology for dumb)- Sign language glove with voiceVivekanand Gaikwad
We propose a sign language glove which will assist those people who are suffering for any kind of speech defect to communicate through gesture. The glove will record all the gesture made by the user & then it will translate these gesture into audio form.
This document discusses an ESP32-CAM development board and provides examples for using its camera functionality. It begins with an introduction to the ESP32 and ESP32-CAM, then describes installing the Arduino SDK. It presents two camera examples: a time-lapse camera that saves photos to an SD card, and a camera web server. It concludes by asking what next steps could be taken.
This ppt explain about the Augmented reality, AR tools, How it was helpful in real life, Applications of AR tools, Types of AR tools, What are the companies which developed AR products, Advantages and disadvantages of AR.
This document describes a sign language translation project using a glove. The goal of the project is to bridge communication between deaf/mute people and others by translating sign language gestures into text and speech using an inexpensive electronic device. The glove will contain flex sensors and an accelerometer to capture hand movements and gestures, which will then be recognized, translated, and output as text on an LCD display and audio from a speaker. A block diagram shows the overall architecture of the glove unit, detection unit, and other components like the power supply. The document discusses the motivation, prime idea, content layout, advantages, and limitations of the project.
SRGE Workshop on Intelligent system and Application, 27 Dec. 2017 in the framework of the int. conf of computer science, information systems, and operation research, ISSR, Cairo University
The document discusses silent sound technology, which allows communication without speaking aloud. It originated from the idea of interpreting silent speech electronically. The technology uses electromyography to monitor muscle movements when speaking and converts them to electrical signals representing speech. Image processing also analyzes lip movements. Some applications include helping people who lost their voice and covert military communication. The technology could enable silent phone calls and transmitting PIN numbers securely. Overall, silent sound technology implements "talking without talking" and may have useful applications in the future.
Mr. Sanjay Dhandare presented a seminar on developing an advanced health care system using the Internet of Things. The presentation discussed monitoring various body parameters using a body area network and transmitting the data via IoT. It proposed objectives like establishing communication between patients and relatives, integrating sensors to monitor temperature, pulse and acceleration. The methodology included a literature review, selecting a controller, interfacing sensors and transmitting data wirelessly. Benefits included speeding communication, immediate alerts in emergencies and reduced mortality. The system was concluded to help reduce deaths by enabling monitoring and alerts during health issues.
This document discusses medical wearable devices and related topics. It covers the key technologies that enable medical wearables like sensors, computing, and connectivity. It also addresses regulatory considerations regarding whether a device is classified as a medical device or general wellness product based on its intended use and claims. Finally, it provides examples of medical wearables already on the market, including devices that monitor bio-data, glucose levels, and provide pain relief through electrotherapy.
This document describes an IoT-based patient health monitoring system using Node MCU-ESP8266. The proposed system uses sensors to monitor vital signs like temperature, heart rate, and oxygen levels and sends this data to a server via Node MCU. If any parameter goes outside normal ranges, an alert is sent to doctors. This allows remote monitoring of patients and faster emergency response. The system aims to reduce healthcare costs by enabling continuous monitoring without needing as many in-person doctor visits.
Iot based Patient Health Monitoring System.pptxharimaxwell0712
The main aim of IoT based patient health monitoring
system is to continuously track and monitor patient
Oxygen(SPO2), Pulse, Temperature and provide
information to doctors, nurses, and other caretakers it has
an inbuilt keypad with default functions that patients can
use it and can take help in any emergency. Health
Monitoring System can be operated and controlled either
by a mobile phone or manually from any location. This
system makes it easy to check on the status of the patient
and also provides data for doctors, patients, nurses, and
caretakers
This document discusses silent sound technology, which allows people to communicate without making audible sounds. It works by detecting tiny muscular movements in the lips during speech using electromyography or image processing techniques. This information is then converted to electrical signals and transmitted as synthesized speech. The technology could help those who have lost their voice or have speech impediments to communicate over the phone or translate between languages. However, it faces restrictions for tonal languages and in differentiating between speakers.
This document discusses silent sound technology, which allows people to have phone conversations without making any sounds. It works by using electromyography to detect the tiny muscle movements involved in speech and converting those signals into computer-generated audio that is transmitted to the other caller. The technology has applications for situations where sound needs to be muted, such as in meetings or for astronauts in space. However, it still faces limitations like needing electrodes attached to the face and having difficulties with tonal languages. Future improvements could make the electrodes portable and add lip-reading capabilities.
The document summarizes an ultrasonic radar project presented by students. It includes an introduction to radar technology and ultrasonic sensors. It describes the components used - an Arduino board, ultrasonic sensor, and servo motor. It explains how ultrasonic pulses detect distance and the servo motor rotates the sensor to map surroundings. Distances are plotted on a graph using Processing IDE to simulate radar detection of objects. Potential applications of radar technology are discussed like air traffic control and security systems.
This document summarizes a mini project on a wireless ECG system. It discusses the components of the ECG circuit including electrodes, an instrumentation amplifier, band pass filter, operational amplifier and Bluetooth module. The circuit is powered through batteries and transmits the ECG data wirelessly via Bluetooth to be displayed on a laptop or LCD screen. The document outlines the challenges faced such as noise, errors, power consumption and wireless interfacing which the team is working to address to create a functional three lead wireless ECG output.
Substation Monitoring and Control Based on Microcontroller Using IoTIRJET Journal
This document describes a system for substation monitoring and control using an IoT approach. Sensors are used to measure voltage, current, and temperature. An Arduino microcontroller collects data from the sensors and sends it over an IoT module to a remote computer. The system allows monitoring and control of substations in real-time from a remote location. Relays controlled by the microcontroller can automatically shut off power to parts of the substation if faults are detected. This provides improved safety and efficiency for substation management.
This document describes the design and implementation of a real-time vein imaging device. The goals were to create a portable, user-friendly, and cost-effective device to help doctors easily detect veins for procedures like drawing blood. The device uses near-infrared light to illuminate veins and a camera to display them. Prototypes were tested on subjects of various ages and skin types. The results showed promise for helping medical professionals, though limitations included lower visibility for some users. Future work aims to address limitations and make the device more accessible.
The document discusses the evolution of the internet from 2D to 3D. It describes how the internet started as static web pages (Web 1.0) and evolved to allow user interaction and content creation (Web 2.0). Web 3.0 aims to integrate raw data processing to provide personalized recommendations to users. 3D internet takes this further by creating immersive virtual 3D environments where users interact through avatars. The key characteristics of 3D internet include intelligence, interactivity, real-time experiences, cross-modality, collaboration and ability to transport 3D multimedia content. The architecture of 3D internet is similar to traditional internet but represents users and services through avatars and 3D graphics in virtual worlds.
The document discusses silent sound technology, which allows for silent communication by analyzing muscle movements in the face and converting them to audible speech. It does this through electromyography and image processing. Electromyography monitors tiny muscle movements in the face when speaking and converts them to electrical signals that can be translated to speech. Image processing analyzes images of lip movements to identify sounds. The technology has applications for helping people who have lost their voice or allowing silent phone calls. It works by attaching sensors to the face to record muscle signals when speaking, which are matched to sound patterns to transmit speech without making noise.
IRJET - Women’s Safety System using IoTIRJET Journal
The document describes a women's safety system using IoT. The system uses an Arduino board connected to a GSM module to send emergency SMS messages with GPS location data. It also uses an accelerometer sensor and panic button to detect dangerous falls or when the button is pressed. The location is continuously updated on a webpage using an IoT module. When activated, the system sends an SMS with location to registered contacts and police and sounds an alarm using a buzzer. The small, portable design aims to provide safety for women anywhere by allowing remote monitoring via IoT and alerting others in emergency situations.
A SURVEY ON KIDNEY STONE DETECTION USING IMAGE PROCESSING AND DEEP LEARNINGIRJET Journal
The document describes a study on detecting kidney stones using image processing and deep learning techniques. The researchers preprocessed CT and MRI scan images of kidney stones using techniques like gray level co-occurrence matrix for feature extraction. They then trained a convolutional neural network (CNN) model on the images to classify kidney stones. The CNN model consisted of convolution, ReLU, pooling and fully connected layers. The trained model could accurately detect and classify kidney stones in input images. The researchers concluded that combining image processing and deep learning was an effective method for automated kidney stone detection.
Securing the Healthcare Industry : Implantable Medical DevicesTandhy Simanjuntak
This document discusses implantable medical devices (IMDs) such as pacemakers, insulin pumps, and neurostimulators. It outlines the types of IMDs commonly used in the US and provides examples. It then discusses the security risks and challenges associated with IMDs, including potential attacks such as reprogramming devices or depleting their resources. Criteria for improving IMD security and privacy are proposed.
Hand talk (assistive technology for dumb)- Sign language glove with voiceVivekanand Gaikwad
We propose a sign language glove which will assist those people who are suffering for any kind of speech defect to communicate through gesture. The glove will record all the gesture made by the user & then it will translate these gesture into audio form.
This document discusses an ESP32-CAM development board and provides examples for using its camera functionality. It begins with an introduction to the ESP32 and ESP32-CAM, then describes installing the Arduino SDK. It presents two camera examples: a time-lapse camera that saves photos to an SD card, and a camera web server. It concludes by asking what next steps could be taken.
This ppt explain about the Augmented reality, AR tools, How it was helpful in real life, Applications of AR tools, Types of AR tools, What are the companies which developed AR products, Advantages and disadvantages of AR.
This document describes a sign language translation project using a glove. The goal of the project is to bridge communication between deaf/mute people and others by translating sign language gestures into text and speech using an inexpensive electronic device. The glove will contain flex sensors and an accelerometer to capture hand movements and gestures, which will then be recognized, translated, and output as text on an LCD display and audio from a speaker. A block diagram shows the overall architecture of the glove unit, detection unit, and other components like the power supply. The document discusses the motivation, prime idea, content layout, advantages, and limitations of the project.
SRGE Workshop on Intelligent system and Application, 27 Dec. 2017 in the framework of the int. conf of computer science, information systems, and operation research, ISSR, Cairo University
The document discusses silent sound technology, which allows communication without speaking aloud. It originated from the idea of interpreting silent speech electronically. The technology uses electromyography to monitor muscle movements when speaking and converts them to electrical signals representing speech. Image processing also analyzes lip movements. Some applications include helping people who lost their voice and covert military communication. The technology could enable silent phone calls and transmitting PIN numbers securely. Overall, silent sound technology implements "talking without talking" and may have useful applications in the future.
Mr. Sanjay Dhandare presented a seminar on developing an advanced health care system using the Internet of Things. The presentation discussed monitoring various body parameters using a body area network and transmitting the data via IoT. It proposed objectives like establishing communication between patients and relatives, integrating sensors to monitor temperature, pulse and acceleration. The methodology included a literature review, selecting a controller, interfacing sensors and transmitting data wirelessly. Benefits included speeding communication, immediate alerts in emergencies and reduced mortality. The system was concluded to help reduce deaths by enabling monitoring and alerts during health issues.
This document discusses medical wearable devices and related topics. It covers the key technologies that enable medical wearables like sensors, computing, and connectivity. It also addresses regulatory considerations regarding whether a device is classified as a medical device or general wellness product based on its intended use and claims. Finally, it provides examples of medical wearables already on the market, including devices that monitor bio-data, glucose levels, and provide pain relief through electrotherapy.
This document describes an IoT-based patient health monitoring system using Node MCU-ESP8266. The proposed system uses sensors to monitor vital signs like temperature, heart rate, and oxygen levels and sends this data to a server via Node MCU. If any parameter goes outside normal ranges, an alert is sent to doctors. This allows remote monitoring of patients and faster emergency response. The system aims to reduce healthcare costs by enabling continuous monitoring without needing as many in-person doctor visits.
Iot based Patient Health Monitoring System.pptxharimaxwell0712
The main aim of IoT based patient health monitoring
system is to continuously track and monitor patient
Oxygen(SPO2), Pulse, Temperature and provide
information to doctors, nurses, and other caretakers it has
an inbuilt keypad with default functions that patients can
use it and can take help in any emergency. Health
Monitoring System can be operated and controlled either
by a mobile phone or manually from any location. This
system makes it easy to check on the status of the patient
and also provides data for doctors, patients, nurses, and
caretakers
This document describes a neck movement-based wheelchair to assist physically challenged individuals. It uses a tilt sensor fitted to the user's neck to detect neck movements and control the wheelchair's direction. The wheelchair can move forward, backward, left, right based on the tilt sensor input. It also includes ultrasonic sensors to detect obstacles, as well as temperature and heartbeat sensors to monitor the user's health. The data from the sensors is displayed on an LCD screen. An Android app is also used to control the wheelchair remotely. The system is designed to provide independent mobility to users through intuitive neck-based control.
This document describes an IoT-based patient health monitoring system. The system collects patient vital signs like ECG, temperature, and heart rate using sensors. The sensor data is transmitted to a microcontroller and then sent to the cloud using WiFi. If any abnormal readings are detected, the system alerts caregivers. The system allows for remote monitoring of elderly or chronically ill patients to avoid long hospital stays. It records health data over time which can be useful for future analysis and review of a patient's condition. The system could be improved in the future by adding sensors to monitor additional vitals like blood pressure.
This document proposes an Android app to improve security for women, elderly people, and those with disabilities. The app has three main features: 1) A message reader that converts text messages to voice for visually impaired users. 2) An emergency request system that sends alerts with the user's location if they press a phone button repeatedly. 3) A medication reminder that notifies users when it is time to take pills through alarms and notifications. The app is designed to give vulnerable groups more independence by helping them communicate and request help when needed. It could improve safety for women and quality of life for elderly and disabled individuals.
Android Based Patient Health Monitoring SystemIRJET Journal
1) This document describes an Android-based patient health monitoring system that uses wearable sensors and a mobile application.
2) The system includes sensors that measure a patient's temperature, pulse, blood pressure, and humidity. The sensor data is sent via Bluetooth to an Android application on the patient's phone and from there to a server via WiFi.
3) The system allows doctors to monitor a patient's vital signs in real-time from their desktop. It also tracks the patient's location using latitude and longitude. An alert is triggered if the vital signs exceed preset thresholds.
This document proposes a mobile ICU system using an Android device that allows for continuous remote patient monitoring and treatment. The system measures various vital signs like heart rate, body temperature, ECG, blood glucose levels, and more using sensors. The data is sent to a doctor's Android device, allowing them to remotely monitor and treat patients from home or during disasters when medical resources are limited. The system aims to ease the workload of hospitals and allow patients to be monitored even after discharge to prevent reinfection.
IRJET- Virtual Assistant for Medical EmergencyIRJET Journal
The document describes a proposed virtual assistant for medical emergencies using IoT. The system would involve a wearable device like a wristband with sensors to monitor vital signs. If the signs indicate a medical emergency, the device would alert emergency services and provide the patient's medical history. It would also notify family members. The system aims to reduce response times in medical emergencies to improve outcomes. Key challenges include accurately detecting emergencies, secure data transmission, and avoiding false alarms. The proposed solution involves continuous health monitoring, emergency detection and response, automatic medical history access in emergencies, and location tracking to direct responders.
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- IoT based Portable Hand Gesture Recognition SystemIRJET Journal
This document describes a portable hand gesture recognition system to help deaf and mute people communicate. The system uses flex sensors on a glove to detect hand gestures. An Arduino microcontroller matches the gestures to a database and sends the output to a smartphone via Bluetooth. The smartphone app then converts the text to speech so others can understand the user's message. The system is meant to overcome communication barriers for those unable to speak or hear by translating sign language gestures into audible speech in real-time.
This document describes an automated gesture-based wireless wheelchair control system using an accelerometer. The system uses an accelerometer sensor to detect hand gestures which are converted to electrical signals and transmitted wirelessly. The receiver then converts the signals and uses them to control a wheelchair's movement and direction. The system was developed to help paralyzed people move independently using hand gestures to tilt the wheelchair forward, backward, left, right, or stop. It allows for movement over 200 yards and detects obstacles using an ultrasonic sensor.
Gesture Gloves - For Speechless patientsNeha Udeshi
Patients with speech disorders often find it difficult to communicate their needs to the general audience. These patients include the mute, senior citizens, paralyzed, and patients with diseases such as dysarthria, aphasia, to name a few. To satisfy their requirements, the Gesture Gloves have been designed. These gloves ease the communication, without much ado, by engendering predefined gestures to voice. The input is in the form of hand gestures which are converted to text and speech. The gloves are equipped with multiple flex sensors that produce varying resistance for every gesture made by the person.
IRJET- Review on: A Wireless IoT System for Gait Detection in Stroke PatientIRJET Journal
This document summarizes a proposed wireless IoT system for gait detection in stroke patients. The system would use sensors embedded in a smart shoe to discreetly monitor a patient's insole pressure and acceleration during walking. The data collected from the shoe sensors and a smartphone's built-in sensors would be used to detect any abnormal or cautious gait patterns that could predict risk of falling. The system aims to warn patients about risky gaits and potentially prevent injuries. It discusses how IoT and wireless communication could help create a portable system to continuously monitor patients' gaits outside of a clinical setting.
This document summarizes a research paper on using the Internet of Things (IoT) for industrial automation. It describes a system that uses sensors to monitor industrial conditions and applications. The sensor data is sent to an Android device and compared to threshold values set by an administrator. If any uneven conditions are detected, alerts or alarms are generated and sent to the administrator by message or email. The system also uses artificial intelligence to take intelligent actions to address problems based on past experiences stored in a cloud database. The goal is to automatically monitor industries and generate alerts or make decisions without human intervention.
IRJET- Design and Implementation of Health Monitoring SystemIRJET Journal
This document summarizes the design and implementation of a health monitoring system. The system uses sensors like pulse, ECG and temperature sensors connected to an Arduino board to monitor a patient's health status. The sensor data is sent wirelessly to a cloud-based ThingSpeak server for storage and real-time monitoring via a mobile application. The system allows doctors to remotely monitor patients' health parameters like temperature, pulse and ECG from anywhere without needing to visit in-person.
A Healthcare Monitoring System Using Wifi ModuleIRJET Journal
This document presents a healthcare monitoring system using WiFi modules. The system uses sensors like a temperature sensor and heart rate sensor connected to an Arduino microcontroller to monitor patients' vital signs. The sensor data is sent wirelessly to a monitoring center using a WiFi module. Doctors can access the continuously recorded medical data to diagnose patients remotely. The system aims to provide constant monitoring without confining patients to beds and reduce human errors in manual data logging. It allows for broader use among patients, medical professionals and in rural areas with limited access to healthcare.
Operating theatre is a place in a hospital where surgical operations are conducted on patients by surgeons. In the operating theatre, the surgical equipment is placed on stainless steel table or on surgical instrument tray. However, during the operation accidents can occur where the surgical tools placed near to the surgeon could be accidentally be hit by them during the surgical operation. This may cause the surgical tools to fall on the floor which may lead to injuries. Hence, this paper presents an automatic medical surgical trolley for surgeons to grab operating tools easily. The proposed system is implemented for automaticmedical surgical trolley movement using Arduino Uno R3. The invention provides an automatic medical surgical trolley which comprises automatic guidance, a wireless controller, an obstacle avoiding detection device, a touch screen controller via smart phone, an IP camera, a trolley, an integrated power supply and a processor. The trolley with stainless steel shelves is ideal for use in clinical environments and operation theatres. Medical equipment is loaded in the trolley, the wireless remote drives the trolley to move forwards and backwards. Automatic visual guidance is achieved via an IP camera attached to the trolley and a touch screen controller via a smart phone. A large amount of space and a large number of materials are saved, the workload of medical workers will be greatly relieved, and the working efficiency will be improved.
seminar report iot based health monitoring system 2023.pdfriddheshbore97
This document provides an overview of a seminar report on an IoT-based health monitoring system. The report was submitted by Prerna Ravi Shirsath for their Bachelor of Engineering degree. The report discusses the development of a system that measures a patient's body temperature, heartbeat, and oxygen saturation levels using sensors and sends the data to a mobile application via Bluetooth. It presents the architecture of an IoT health monitoring system which includes medical sensors, a smart gateway, and a back-end system. The report also covers the advantages of such systems in enabling remote monitoring and prevention, reducing healthcare costs, and improving treatment management. Some disadvantages around security, risk of failure, and cost are also discussed.
IRJET- IoT Based Home Automation And Health Monitoring System for Physically ...IRJET Journal
This document proposes an IoT-based home automation and health monitoring system for physically challenged individuals using gesture recognition. The system uses MEMS sensors to detect hand gestures which are then used to control home appliances like fans and lights. It also includes health monitoring sensors to monitor the user's heartbeat and detect falls using a vibration sensor. If any abnormal health readings are detected, an SMS alert will be sent using GCM cloud messaging. The system is intended to make daily tasks easier for disabled users and provide remote health monitoring assistance when caregivers are not present.
Auscultation training devices are needed by teachers and students in health schools to practice auscultation techniques. In this paper, a low-cost IoTbased auscultation training device has been developed using NodeMCU, four proximity sensors, metal as a stethoscope, a switch, an android smartphone, an earphone, and a phantom doll. The message queuing telemetry transport (MQTT) protocol has been used for data communication between NodeMCU and smartphones, therefore an auscultation training hardware can be used by many students who have auscultation training application on their smartphones that subscribe to topics. The results showed that an auscultation training device was able to detect a stethoscope. Auscultation training application on a smartphone successfully plays normal and abnormal breathing sounds based on subscribed topics. With a production cost of less than 15 USD, we offer an inexpensive IoT-based auscultation training device.
Similar to Development of automatic healthcare instruction system via movement gesture sensor for paralysis patient (20)
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Neural network optimizer of proportional-integral-differential controller par...IJECEIAES
Wide application of proportional-integral-differential (PID)-regulator in industry requires constant improvement of methods of its parameters adjustment. The paper deals with the issues of optimization of PID-regulator parameters with the use of neural network technology methods. A methodology for choosing the architecture (structure) of neural network optimizer is proposed, which consists in determining the number of layers, the number of neurons in each layer, as well as the form and type of activation function. Algorithms of neural network training based on the application of the method of minimizing the mismatch between the regulated value and the target value are developed. The method of back propagation of gradients is proposed to select the optimal training rate of neurons of the neural network. The neural network optimizer, which is a superstructure of the linear PID controller, allows increasing the regulation accuracy from 0.23 to 0.09, thus reducing the power consumption from 65% to 53%. The results of the conducted experiments allow us to conclude that the created neural superstructure may well become a prototype of an automatic voltage regulator (AVR)-type industrial controller for tuning the parameters of the PID controller.
An improved modulation technique suitable for a three level flying capacitor ...IJECEIAES
This research paper introduces an innovative modulation technique for controlling a 3-level flying capacitor multilevel inverter (FCMLI), aiming to streamline the modulation process in contrast to conventional methods. The proposed
simplified modulation technique paves the way for more straightforward and
efficient control of multilevel inverters, enabling their widespread adoption and
integration into modern power electronic systems. Through the amalgamation of
sinusoidal pulse width modulation (SPWM) with a high-frequency square wave
pulse, this controlling technique attains energy equilibrium across the coupling
capacitor. The modulation scheme incorporates a simplified switching pattern
and a decreased count of voltage references, thereby simplifying the control
algorithm.
A review on features and methods of potential fishing zoneIJECEIAES
This review focuses on the importance of identifying potential fishing zones in seawater for sustainable fishing practices. It explores features like sea surface temperature (SST) and sea surface height (SSH), along with classification methods such as classifiers. The features like SST, SSH, and different classifiers used to classify the data, have been figured out in this review study. This study underscores the importance of examining potential fishing zones using advanced analytical techniques. It thoroughly explores the methodologies employed by researchers, covering both past and current approaches. The examination centers on data characteristics and the application of classification algorithms for classification of potential fishing zones. Furthermore, the prediction of potential fishing zones relies significantly on the effectiveness of classification algorithms. Previous research has assessed the performance of models like support vector machines, naïve Bayes, and artificial neural networks (ANN). In the previous result, the results of support vector machine (SVM) were 97.6% more accurate than naive Bayes's 94.2% to classify test data for fisheries classification. By considering the recent works in this area, several recommendations for future works are presented to further improve the performance of the potential fishing zone models, which is important to the fisheries community.
Electrical signal interference minimization using appropriate core material f...IJECEIAES
As demand for smaller, quicker, and more powerful devices rises, Moore's law is strictly followed. The industry has worked hard to make little devices that boost productivity. The goal is to optimize device density. Scientists are reducing connection delays to improve circuit performance. This helped them understand three-dimensional integrated circuit (3D IC) concepts, which stack active devices and create vertical connections to diminish latency and lower interconnects. Electrical involvement is a big worry with 3D integrates circuits. Researchers have developed and tested through silicon via (TSV) and substrates to decrease electrical wave involvement. This study illustrates a novel noise coupling reduction method using several electrical involvement models. A 22% drop in electrical involvement from wave-carrying to victim TSVs introduces this new paradigm and improves system performance even at higher THz frequencies.
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
Bibliometric analysis highlighting the role of women in addressing climate ch...IJECEIAES
Fossil fuel consumption increased quickly, contributing to climate change
that is evident in unusual flooding and draughts, and global warming. Over
the past ten years, women's involvement in society has grown dramatically,
and they succeeded in playing a noticeable role in reducing climate change.
A bibliometric analysis of data from the last ten years has been carried out to
examine the role of women in addressing the climate change. The analysis's
findings discussed the relevant to the sustainable development goals (SDGs),
particularly SDG 7 and SDG 13. The results considered contributions made
by women in the various sectors while taking geographic dispersion into
account. The bibliometric analysis delves into topics including women's
leadership in environmental groups, their involvement in policymaking, their
contributions to sustainable development projects, and the influence of
gender diversity on attempts to mitigate climate change. This study's results
highlight how women have influenced policies and actions related to climate
change, point out areas of research deficiency and recommendations on how
to increase role of the women in addressing the climate change and
achieving sustainability. To achieve more successful results, this initiative
aims to highlight the significance of gender equality and encourage
inclusivity in climate change decision-making processes.
Voltage and frequency control of microgrid in presence of micro-turbine inter...IJECEIAES
The active and reactive load changes have a significant impact on voltage
and frequency. In this paper, in order to stabilize the microgrid (MG) against
load variations in islanding mode, the active and reactive power of all
distributed generators (DGs), including energy storage (battery), diesel
generator, and micro-turbine, are controlled. The micro-turbine generator is
connected to MG through a three-phase to three-phase matrix converter, and
the droop control method is applied for controlling the voltage and
frequency of MG. In addition, a method is introduced for voltage and
frequency control of micro-turbines in the transition state from gridconnected mode to islanding mode. A novel switching strategy of the matrix
converter is used for converting the high-frequency output voltage of the
micro-turbine to the grid-side frequency of the utility system. Moreover,
using the switching strategy, the low-order harmonics in the output current
and voltage are not produced, and consequently, the size of the output filter
would be reduced. In fact, the suggested control strategy is load-independent
and has no frequency conversion restrictions. The proposed approach for
voltage and frequency regulation demonstrates exceptional performance and
favorable response across various load alteration scenarios. The suggested
strategy is examined in several scenarios in the MG test systems, and the
simulation results are addressed.
Enhancing battery system identification: nonlinear autoregressive modeling fo...IJECEIAES
Precisely characterizing Li-ion batteries is essential for optimizing their
performance, enhancing safety, and prolonging their lifespan across various
applications, such as electric vehicles and renewable energy systems. This
article introduces an innovative nonlinear methodology for system
identification of a Li-ion battery, employing a nonlinear autoregressive with
exogenous inputs (NARX) model. The proposed approach integrates the
benefits of nonlinear modeling with the adaptability of the NARX structure,
facilitating a more comprehensive representation of the intricate
electrochemical processes within the battery. Experimental data collected
from a Li-ion battery operating under diverse scenarios are employed to
validate the effectiveness of the proposed methodology. The identified
NARX model exhibits superior accuracy in predicting the battery's behavior
compared to traditional linear models. This study underscores the
importance of accounting for nonlinearities in battery modeling, providing
insights into the intricate relationships between state-of-charge, voltage, and
current under dynamic conditions.
Smart grid deployment: from a bibliometric analysis to a surveyIJECEIAES
Smart grids are one of the last decades' innovations in electrical energy.
They bring relevant advantages compared to the traditional grid and
significant interest from the research community. Assessing the field's
evolution is essential to propose guidelines for facing new and future smart
grid challenges. In addition, knowing the main technologies involved in the
deployment of smart grids (SGs) is important to highlight possible
shortcomings that can be mitigated by developing new tools. This paper
contributes to the research trends mentioned above by focusing on two
objectives. First, a bibliometric analysis is presented to give an overview of
the current research level about smart grid deployment. Second, a survey of
the main technological approaches used for smart grid implementation and
their contributions are highlighted. To that effect, we searched the Web of
Science (WoS), and the Scopus databases. We obtained 5,663 documents
from WoS and 7,215 from Scopus on smart grid implementation or
deployment. With the extraction limitation in the Scopus database, 5,872 of
the 7,215 documents were extracted using a multi-step process. These two
datasets have been analyzed using a bibliometric tool called bibliometrix.
The main outputs are presented with some recommendations for future
research.
Use of analytical hierarchy process for selecting and prioritizing islanding ...IJECEIAES
One of the problems that are associated to power systems is islanding
condition, which must be rapidly and properly detected to prevent any
negative consequences on the system's protection, stability, and security.
This paper offers a thorough overview of several islanding detection
strategies, which are divided into two categories: classic approaches,
including local and remote approaches, and modern techniques, including
techniques based on signal processing and computational intelligence.
Additionally, each approach is compared and assessed based on several
factors, including implementation costs, non-detected zones, declining
power quality, and response times using the analytical hierarchy process
(AHP). The multi-criteria decision-making analysis shows that the overall
weight of passive methods (24.7%), active methods (7.8%), hybrid methods
(5.6%), remote methods (14.5%), signal processing-based methods (26.6%),
and computational intelligent-based methods (20.8%) based on the
comparison of all criteria together. Thus, it can be seen from the total weight
that hybrid approaches are the least suitable to be chosen, while signal
processing-based methods are the most appropriate islanding detection
method to be selected and implemented in power system with respect to the
aforementioned factors. Using Expert Choice software, the proposed
hierarchy model is studied and examined.
Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...IJECEIAES
The power generated by photovoltaic (PV) systems is influenced by
environmental factors. This variability hampers the control and utilization of
solar cells' peak output. In this study, a single-stage grid-connected PV
system is designed to enhance power quality. Our approach employs fuzzy
logic in the direct power control (DPC) of a three-phase voltage source
inverter (VSI), enabling seamless integration of the PV connected to the
grid. Additionally, a fuzzy logic-based maximum power point tracking
(MPPT) controller is adopted, which outperforms traditional methods like
incremental conductance (INC) in enhancing solar cell efficiency and
minimizing the response time. Moreover, the inverter's real-time active and
reactive power is directly managed to achieve a unity power factor (UPF).
The system's performance is assessed through MATLAB/Simulink
implementation, showing marked improvement over conventional methods,
particularly in steady-state and varying weather conditions. For solar
irradiances of 500 and 1,000 W/m2
, the results show that the proposed
method reduces the total harmonic distortion (THD) of the injected current
to the grid by approximately 46% and 38% compared to conventional
methods, respectively. Furthermore, we compare the simulation results with
IEEE standards to evaluate the system's grid compatibility.
Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...IJECEIAES
Photovoltaic systems have emerged as a promising energy resource that
caters to the future needs of society, owing to their renewable, inexhaustible,
and cost-free nature. The power output of these systems relies on solar cell
radiation and temperature. In order to mitigate the dependence on
atmospheric conditions and enhance power tracking, a conventional
approach has been improved by integrating various methods. To optimize
the generation of electricity from solar systems, the maximum power point
tracking (MPPT) technique is employed. To overcome limitations such as
steady-state voltage oscillations and improve transient response, two
traditional MPPT methods, namely fuzzy logic controller (FLC) and perturb
and observe (P&O), have been modified. This research paper aims to
simulate and validate the step size of the proposed modified P&O and FLC
techniques within the MPPT algorithm using MATLAB/Simulink for
efficient power tracking in photovoltaic systems.
Adaptive synchronous sliding control for a robot manipulator based on neural ...IJECEIAES
Robot manipulators have become important equipment in production lines, medical fields, and transportation. Improving the quality of trajectory tracking for
robot hands is always an attractive topic in the research community. This is a
challenging problem because robot manipulators are complex nonlinear systems
and are often subject to fluctuations in loads and external disturbances. This
article proposes an adaptive synchronous sliding control scheme to improve trajectory tracking performance for a robot manipulator. The proposed controller
ensures that the positions of the joints track the desired trajectory, synchronize
the errors, and significantly reduces chattering. First, the synchronous tracking
errors and synchronous sliding surfaces are presented. Second, the synchronous
tracking error dynamics are determined. Third, a robust adaptive control law is
designed,the unknown components of the model are estimated online by the neural network, and the parameters of the switching elements are selected by fuzzy
logic. The built algorithm ensures that the tracking and approximation errors
are ultimately uniformly bounded (UUB). Finally, the effectiveness of the constructed algorithm is demonstrated through simulation and experimental results.
Simulation and experimental results show that the proposed controller is effective with small synchronous tracking errors, and the chattering phenomenon is
significantly reduced.
Remote field-programmable gate array laboratory for signal acquisition and de...IJECEIAES
A remote laboratory utilizing field-programmable gate array (FPGA) technologies enhances students’ learning experience anywhere and anytime in embedded system design. Existing remote laboratories prioritize hardware access and visual feedback for observing board behavior after programming, neglecting comprehensive debugging tools to resolve errors that require internal signal acquisition. This paper proposes a novel remote embeddedsystem design approach targeting FPGA technologies that are fully interactive via a web-based platform. Our solution provides FPGA board access and debugging capabilities beyond the visual feedback provided by existing remote laboratories. We implemented a lab module that allows users to seamlessly incorporate into their FPGA design. The module minimizes hardware resource utilization while enabling the acquisition of a large number of data samples from the signal during the experiments by adaptively compressing the signal prior to data transmission. The results demonstrate an average compression ratio of 2.90 across three benchmark signals, indicating efficient signal acquisition and effective debugging and analysis. This method allows users to acquire more data samples than conventional methods. The proposed lab allows students to remotely test and debug their designs, bridging the gap between theory and practice in embedded system design.
Detecting and resolving feature envy through automated machine learning and m...IJECEIAES
Efficiently identifying and resolving code smells enhances software project quality. This paper presents a novel solution, utilizing automated machine learning (AutoML) techniques, to detect code smells and apply move method refactoring. By evaluating code metrics before and after refactoring, we assessed its impact on coupling, complexity, and cohesion. Key contributions of this research include a unique dataset for code smell classification and the development of models using AutoGluon for optimal performance. Furthermore, the study identifies the top 20 influential features in classifying feature envy, a well-known code smell, stemming from excessive reliance on external classes. We also explored how move method refactoring addresses feature envy, revealing reduced coupling and complexity, and improved cohesion, ultimately enhancing code quality. In summary, this research offers an empirical, data-driven approach, integrating AutoML and move method refactoring to optimize software project quality. Insights gained shed light on the benefits of refactoring on code quality and the significance of specific features in detecting feature envy. Future research can expand to explore additional refactoring techniques and a broader range of code metrics, advancing software engineering practices and standards.
Smart monitoring technique for solar cell systems using internet of things ba...IJECEIAES
Rapidly and remotely monitoring and receiving the solar cell systems status parameters, solar irradiance, temperature, and humidity, are critical issues in enhancement their efficiency. Hence, in the present article an improved smart prototype of internet of things (IoT) technique based on embedded system through NodeMCU ESP8266 (ESP-12E) was carried out experimentally. Three different regions at Egypt; Luxor, Cairo, and El-Beheira cities were chosen to study their solar irradiance profile, temperature, and humidity by the proposed IoT system. The monitoring data of solar irradiance, temperature, and humidity were live visualized directly by Ubidots through hypertext transfer protocol (HTTP) protocol. The measured solar power radiation in Luxor, Cairo, and El-Beheira ranged between 216-1000, 245-958, and 187-692 W/m 2 respectively during the solar day. The accuracy and rapidity of obtaining monitoring results using the proposed IoT system made it a strong candidate for application in monitoring solar cell systems. On the other hand, the obtained solar power radiation results of the three considered regions strongly candidate Luxor and Cairo as suitable places to build up a solar cells system station rather than El-Beheira.
An efficient security framework for intrusion detection and prevention in int...IJECEIAES
Over the past few years, the internet of things (IoT) has advanced to connect billions of smart devices to improve quality of life. However, anomalies or malicious intrusions pose several security loopholes, leading to performance degradation and threat to data security in IoT operations. Thereby, IoT security systems must keep an eye on and restrict unwanted events from occurring in the IoT network. Recently, various technical solutions based on machine learning (ML) models have been derived towards identifying and restricting unwanted events in IoT. However, most ML-based approaches are prone to miss-classification due to inappropriate feature selection. Additionally, most ML approaches applied to intrusion detection and prevention consider supervised learning, which requires a large amount of labeled data to be trained. Consequently, such complex datasets are impossible to source in a large network like IoT. To address this problem, this proposed study introduces an efficient learning mechanism to strengthen the IoT security aspects. The proposed algorithm incorporates supervised and unsupervised approaches to improve the learning models for intrusion detection and mitigation. Compared with the related works, the experimental outcome shows that the model performs well in a benchmark dataset. It accomplishes an improved detection accuracy of approximately 99.21%.
AI for Legal Research with applications, toolsmahaffeycheryld
AI applications in legal research include rapid document analysis, case law review, and statute interpretation. AI-powered tools can sift through vast legal databases to find relevant precedents and citations, enhancing research accuracy and speed. They assist in legal writing by drafting and proofreading documents. Predictive analytics help foresee case outcomes based on historical data, aiding in strategic decision-making. AI also automates routine tasks like contract review and due diligence, freeing up lawyers to focus on complex legal issues. These applications make legal research more efficient, cost-effective, and accessible.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Applications of artificial Intelligence in Mechanical Engineering.pdfAtif Razi
Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
VARIABLE FREQUENCY DRIVE. VFDs are widely used in industrial applications for...PIMR BHOPAL
Variable frequency drive .A Variable Frequency Drive (VFD) is an electronic device used to control the speed and torque of an electric motor by varying the frequency and voltage of its power supply. VFDs are widely used in industrial applications for motor control, providing significant energy savings and precise motor operation.
Design and optimization of ion propulsion dronebjmsejournal
Electric propulsion technology is widely used in many kinds of vehicles in recent years, and aircrafts are no exception. Technically, UAVs are electrically propelled but tend to produce a significant amount of noise and vibrations. Ion propulsion technology for drones is a potential solution to this problem. Ion propulsion technology is proven to be feasible in the earth’s atmosphere. The study presented in this article shows the design of EHD thrusters and power supply for ion propulsion drones along with performance optimization of high-voltage power supply for endurance in earth’s atmosphere.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Rainfall intensity duration frequency curve statistical analysis and modeling...bijceesjournal
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
2. Int J Elec & Comp Eng ISSN: 2088-8708
Development of Automatic Healthcare Instruction System Via Movement Gesture Sensor (S. A. C. Aziz)
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that consider eye blink as an input. The related purpose of this project with automated paralyzed healthcare
system is to provide the patient to operate device without anyone help to do daily life. The similarities with
both journal is the basic concept and purpose to aid and help paralysis patient without anyone help. Other than
that, the proposed project from [4] that used wireless voice-based wheelchair controller system, which consists
of an Android device and a control system that controls the movement of wheelchair using a DC motor.
The project aimed to ease the burden for wheelchair user especially for elderly people to move around.
Nowadays, at hospital and NGO’s serving paralysis patient is about to take care at their patient almost
24 hours a day. This happened because their patient has a whole or partial body disabled to move by themselves
while their also not able to speak properly. This proposed project helps workers or family members who care
to the disabled person such as medical staff or doctor to facilitate and treat them.
In this project it is required for the sensor that can afford to fulfil the features within implement this
project which is APDS-9960 gesture sensor. This sensor is one of the gesture devices that been used widely
around the world such as in the game entertainment which is Wii Controller. Besides that, this project will not
used the same device to controller but based on [5], this sensor used to detect the some movement or gesture
of human and this sensor aware is the device that consist of five inbuilt sensor depending on internet of sensors.
Sense aware will consume low power and gives high performance. It consumes voltage of 3.3v to 5v.
2. METHODOLOGY
This proposed project used the technology in telecommunication, where the evolution in
telecommunication was applied in this project by using GSM module SIM900A. At the same time, a few circuit
and software such as ARDUINO IDE compiler was used to be as a controller for all of the main and sub
equipment. A few main component and equipment are used in this project which is gesture sensor (APDS-
9960) and controlled by ARDUINO UNO board which act as microcontroller by using GSM
module SIM900A.
By using the gesture sensor of (APDS-9960), it will aid the patient to convey anything that they want
through the GSM module by sending message. The function of this sensor is the patient just have to swipe their
hand at gesture sensor to convey a message. Besides that, the data will be display at the convey sign through
LCD screen to easier the patient know what they want to convey. Other than that, the buzzer will sound when
there are emergency case occurred if the patient swipe their hand to emergency case. The main concept of
entire project is the hand gesture movement act as transmit signal while the gesture sensor will received signal
and send data to Arduino board. This concept will help paralyzed patient to convey their instruction or need.
2.1. Software implementation
In this part, there are several software were used in this project which is ARDUINO IDE (Integrated
Developed Environment) and Proteus 8 Professional. By using the ARDUINO Software (IDE), this software
can be written in any programming language to compile and also support the language C and C++ by using a
special rules of code structure. This software will give the ARDUINO UNO board to operate and able to
controlled all the process. The ARDUINO UNO board act as the heart of the system and this device is most
important and the ARDUINO IDE is required to complete the project. With own program created by this
software can controlled any device which connect with ARDUINO board [6].
The software implementation is one of the major components for this project to complete and achieve
the planning project as expected. The software also provides the web editor to give opportunity to use and learn
this software without downloading. Besides that, before setting up the connection of Arduino board with any
devices, the coding need to verify first before uploading the program to the board. The coding will be uploaded
into ARDUINO when the compiling process is done without any error. When the coding already burned in
ADUINO board, ARDUINO board is able to use and make any connection with any device include GSM
module and sensor. Figure 1 shows the connection of ARDUINO Board with PC by using USB cable. The
similarities process of GSM is to give notification when the sensor triggered and GSM module will send the
short message to owner to take an action [7].
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Figure 1. Designed circuit via fritzing software
2.2. Hardware implementation
In the circuit implementation will be explain briefly the whole circuit in the project system and
also explain about the lock diagram and component to be used in the circuit. Regarding to the project
design, the operation of this project is automatic paralysis healthcare system is aid and facilitate the
paralysis patient either patient in home or get treatment at Hospital.
Besides, the system of this project also aids the family patient or medical staff to take care of them
easier and not 24 hours to treat them. Figure 2 shows the flow chart where the sensor is activated by
program code; the sensors will be detected by swiping the hand toward the gesture sensor in particular
range. The operation of gesture sensor is detecting any movement with any part of the body mostly by
hand which used to convey instruction to help them for example medical staff or nurse at hospital which
responsible to treat and care of the patient almost 24 hours every day. There are several hand movement
direction set up and each movement direction will indicate different type of instructions for example to
help for meals, assist to toilet and etc. So, this system will use to facilitate those care taken of the paralysis
patient.
The Arduino is one of the electronic components that use the microcontroller ATmega328
interface where the hardware this board used consist of simple open source hardware board designed
around an 8-bit Atmel AVR microcontroller, or a 32-bit Atmel ARM. The GSM Module used in this
project is GSM Module SIM 900A due to 2G capabilities in Malaysia was used GSM900 and GSM1800.
In this project, GSM Module SIM900A used for sending simple message (SMS) to the consumer after
receiving signal from ARDUINO UNO.
The APDS-9960 RGB and gesture sensor is a one of the sensor that combine human and machine
interface. This sensor is only requiring the gesture by swiping hand over the sensor. This sensor used to
detect some movement or gesture of human and this sensor aware is the device that consists of five inbuilt
sensor depending on internet of sensors.
For the gesture sensing example, it has some requirement to make this sensor to function. There
are 6 types of gesture will use in this project which is up, down, right, left, near and far. For up, down, left
and right are required a distance around 4 to 8 inches (10 to 20 cm) above the sensor while for far and near
is different way to detect. To detect near gesture part, it will be achieved by holding hand far above the
sensor around 25cm and then need to bringing hand close to the sensor about 5cm over the sensor with
hold it at least one second.
For the far gesture part, it will be achieved when hand direct from above close to the sensor about
5cm at least one second and need to move by hand up above the sensor. Table 1 below has shown the
description and more details of each gesture.
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Figure 2. Flowchart of the project system
Table 1. Type of Gesture with Description
Gesture Description
UP A swipe from the bottom of the board to the top and out of range of the sensor. Make sure
that our wrist/arm is not in the sensor's range at the end of the swipe!
DOWN A swipe from the top of the board to the bottom and out of range of the sensor.
LEFT A swipe from the right side of the board to the left and out of range of the sensor.
RIGHT A swipe from the left side of the board to the right and out of range of the sensor.
NEAR Object (e.g. hand) starts far above the sensor, moves close to the sensor, hovers for at least
1 second, and moves out of range of the sensor.
FAR Object starts near the sensor, hovers for at least 1 second, and then moves up above and
out of range of the sensor.
NONE The sensor could not correctly guess the gesture being performed.
3. RESULTS AND DISCUSSION
The aim of the project was to development of automatic healthcare system using GSM for paralysis
patient. The Arduino when Apds-9960 was detected by giving the simple gesture movement. This part was
analyzed the time delayed of GSM module and the sensitivity of Apds-9960.
3.1. Testing of time taken for receiving SMS from GSM to hardware module
SMS is a text messages for mobile phone sometimes it can takes more time to send or receive a
message. It can be happen because of network coverage was weaked at some places. So with this testing,
we are able to know how long the duration messages for reach at the other end. This figure below has shown
the analysis the performance of the GSM module in this project. Figure 3 shows the block diagram of
equipment connection to construct the proposed project respectively.
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Figure 3. Block diagram of the project system
Figure 4. Graph the time taken receive SMS vs. number of time taken receive message
3.2. Analysis the performance of the system
Paralysis patient need to take care almost 24 hours and they need someone beside them and care of
the. Based on the Figure 5, this system is suitable to use for this project due the sending system is quite faster.
Figure 5 shows the efficiency of sensor sensitivity Apds-9960 in this project. From this analysis, this sensor is
the most suitable to use due the limitation of this project was achieved.
The features that use in Apds-9960 in this project is gesture detection. The output for this sensor is
digital output. There are 4 directional photodiode in this sensor to ensure any gesture movement will convert
to digital signal. It occurs from others factor in manufacture of APDS-9960 which is IR LED emission, IR
reception and might be environment and the motion. To find out the efficiency and effectiveness APDS-9960
sensor in this project, the gesture detection has been tested to the sensitivity of Apds-9960 sensor was shown
in Figure 6.
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Figure 5. Sensitivity of gesture detection
Figure 6. Graph distance against sensitivity of Apds-9960
4. CONCLUSION AND FUTURE WORK
As the conclusion, the project was developed to create a system using ARDUINO as the main
controller. Aligned with current technologies, this project was created to ensure the paralyze patient obtain the
best treatment and care during in hospital without family members to help them just only giving some easy
movement gesture to the sensor. Other than that, it also created to analyze the performance of APDS-9960 with
GSM module to give attention so that easy to assist their patient before asking what they want. Last but not
least, a few improvement still need to be done regarding to the research of automatic healthcare system using
GSM system.
To ensure the system still efficient and improve the already system has, a few modification should be
made to create the more sophisticated idea for this system. Thus, the automatic Healthcare System using GSM
can be upgraded by using several improvement of components, align with the latest technology. A few
recommendations can be applied such as upgrading the system at transmission system from GSM Module to
the wireless system communication because this system not depending the coverage network from services
provider and this system is more sophisticated than GSM system. Use the accelerometer system to ensure that
the gesture movement capable read the distance almost 5 meter than this sensor able to read 20cm maximum
and by using accelerometer able to make sign language via fingers because this system use x, y, z concept. Add
the gyroscope system which able to detect if a patient fall down and make this project more useful for patient.
ACKNOWLEDGEMENTS
This work was supported by Ministry of Education Malaysia with account no.
RAGS/1/2015/ICT01/UTEM/03/B00121 and Universiti Teknikal Malaysia Melaka.
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