A zigbee based animal health monitoring system
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In case of emergency and dangerous situations we have to alert
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The development of wireless patient monitoring system has been quite intensive in the past decade. Hence, in the present study, a new approach of wireless patient monitoring system was proposed as a prototype to minimize the power consumption and the costing issue. Visual Basic Net. 2010 as the software and Peripheral Interface Controller (PIC) 16F877 microcontroller as the hardware circuit were used to implement the system. The communication between the hardware and software systems is in the full duplex communication via the XBee modules happened. The results show that XBee module is successfully communicated with the whole system and the monitoring software is in the best condition to be implemented. Since the prototype using variable voltage, good comparison with the experimental and previous studies shows that the present study can be improved by using the real ECG machine so that the system can be ready to the real user.
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This is a advance technology for the checkup of the patient by the doctor. IN this there is a microcontroller whis encode all the sensor data and display on lcd screen and also send to gsm module by this all the pateint psychological data send to mobile in the form of sms .
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Abstract The project concentrates a selective section of patient monitoring: neonatal care. Several patient monitors are available in the market. Yet it is quite a daunting task in countries with high population like India, because of insufficient resource space availability. It is difficult to keep a track of several patients at a time from both inside and outside hospital premises/medical facility, which includes remote locations. The project involves with sensing the vitals of the newly born babies which are very different when compared to adult patients and transmit these signals to the computer monitor at the nursing station. Also based on the preset threshold values for the recorded values, an alarm system will be introduced with an immediate transfer of the corresponding patient data to the registered medical professional. This paper attempts to design and implement patient monitoring and real time feedback mechanism, equipped with wireless transmission via GSM and Zigbee. Using Zigbee for in-house monitoring and GSM for external correspondence is proposed. The proposed system is likely to be efficient, economical, easy to use, and portable, have wide application potential due to flexibility in the design and software. Keywords: Bio signal Processing, Neonatal, Wireless health monitoring, zigbee, GSM, Wifi, Portable multi parameter health monitor.
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This document describes a patient monitoring system that uses a GSM network to send alerts when vital signs exceed thresholds. Sensors measure a patient's heart rate and temperature, which are sent to a microcontroller. If readings are abnormal, the microcontroller sends an SMS alert via a GSM modem. The system aims to notify medical staff of issues without requiring direct patient involvement.
An Open And Reconfigurable Wireless Sensor Network For Pervasive Health Monit...
An Open And Reconfigurable Wireless Sensor Network For Pervasive Health Monit...Andreas Triantafyllidis
Presentation from 2nd International Conference on Pervasive Computing Technologies for Healthcare 2008 Tampere, Finland. Parts of this work have been published in Methods of Information in Medicine Journal 2008;47(3):229-34 available at: http://www.ncbi.nlm.nih.gov/pubmed/18473089
Objectives: Sensor networks constitute the backbone for the construction of personalized monitoring systems. Up to now, several sensor networks have been proposed for diverse pervasive healthcare applications, which are however characterized by a significant lack of open architectures, resulting in closed, non-interoperable, and difficult to extend solutions. In this context, we propose an open and reconfigurable Wireless Sensor Network (WSN) for pervasive health monitoring, with particular emphasis in its easy extension with additional sensors and functionality by incorporating embedded intelligence mechanisms.
Methods: We consider a generic WSN architecture comprised of diverse sensor nodes (with communication and processing capabilities) and a Mobile Base Unit (MBU) operating as the gateway between the sensors and the medical personnel, formulating this way a Body Area Network (BAN). The primary focus of this work is on the intra-BAN data communication issues, adopting SensorML as the data representation mean, including the encoding of the monitoring patterns and the functionality of the sensor network.
Results: In our prototype implementation two sensor nodes are emulated; one for heart rate monitoring and the other for blood glucose observations, while the MBU corresponds to a Personal Digital Assistant (PDA) device. Java 2 Micro Edition (J2ME) is used to implement both the sensor nodes and the MBU components. Intra-BAN wireless communication relies on the Bluetooth protocol. Via an adaptive user interface in the MBU, Health Professionals may specify the monitoring parameters of the WSN and define the monitoring patterns of interest in terms of rules.
Conclusions: This work constitutes an essential step towards the construction of open, extensible, interoperable and intelligent WSNs for pervasive health monitoring.Smart health monitoring system
Health monitoring system offers a lot of benefits to people life especially for those who have a chronic disease and need daily observation. This health monitoring system will improve quality of life.
Heart beat monitor using AT89S52 microcontroller
We , in this project are measuring the heart beat using the pulse oximetry logic.
The timer we have set for counting the heart beat is 30s.
There is a set point we can decide, after 30 s the heartbeat would be shown on the LCD along with a buzzer sound (if it exceeds the set point).
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The document is a project report submitted by three students - Dhiraj Machhindra Bhalerao, Chetan Santosh Chavan, and Akshay Rajendra Fiske - to North Maharashtra University in partial fulfillment of the requirements for a Bachelor of Engineering degree in Electrical Engineering. The project aims to develop a touch screen home automation system under the guidance of Prof. G. K. Andurkar. The report includes sections on introduction, literature survey, system development, performance methodology, conclusions, and references.
My Final Year Project - Individual Control Home Automation System
This project involves the design and construction of an individual control home
automation system using RS232, GSM technology and a microcontroller.
Home automation is the automatic or semi-automatic control and monitoring of
household appliances and residential house features like doors, gate and even the windows.
This project is a demonstration of how to design and build a multi purpose remotely
controlled system that can switch OFF and ON any electrical household appliance (including the security light), by dialling a phone already interfaced via RS232 to a microcontroller that controls a relay for the automatic switching on and off of the appliance and the phone will send a feedback short message service text indicating the new state of the appliance, whether switched ON or OFF.
The results of this project show that a microcontroller is a very powerful device for
building smart electronic devices that can automatically control electrical appliances, with little circuitry complexities and components.
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DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Understanding Inductive Bias in Machine Learning
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Unit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
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Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
Advanced control scheme of doubly fed induction generator for wind turbine us...
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.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
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
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