The world is consuming large amounts of energy in various forms like electric energy and mechanical energy. Since the electrical energy is an important factor for the development of the world, many researchers tried to generate electricity from renewable energy sources collected by sensors in order to overcome the shortage of electrical energy for household appliances and industrial areas. In this paper, we develop Internet-of-Things (IoT) based system to generate electrical energy from multiple sensors for household appliances and industrial areas. Different sensors namely piezoelectric sensor, body heat to electric converter and solar panel are utilized and connected to the power storage circuit for generation of electrical energy. Two different Artificial Intelligence (AI) models such as Artificial Neural Network (ANN), Adaptive Network based Fuzzy Inference System (ANFIS) are utilized for the total power generated from renewable energy resources. Validation is done through the statistical parameters such as Root Mean Square Error (RMSE) and R2 coefficient of correlation. Result outcome from the models shows that ANN performance is better than ANFIS.

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A Hybrid Artificial Intelligence and Internet of Things Model for Generation of Renewable Resource of Energy

Ambient Assisted Living (AAL) is receiving significant attention due to its promise to uplift the healthcare sector in general, and to promote care for the frail and aging patients in particular. The Internet of Medical Things (IoMT) technology is a key facilitator for AAL. IoMT provides medical services that make smart hospital, doctors and patients interact in harmony leading to elevated healthcare levels. In this paper, we develop an integrated medical platform for remote health monitoring. The proposed multi-layer architecture senses and collects information about the patient vitals alongside his/her surrounding environment. Then, it relays such information to a cloud for storage and data analysis where further actions are applied for a better end user experience. Such data is accessible to the patient's healthcare providers and remote family members through a mobile application. We built and tested a prototype of the proposed IoMT architecture to illustrate how it achieves the AAL goals.

Integrated IoT medical platform for remote healthcare and assisted living

Cardiovascular diseases (CVD) are the major cause of mortality globally, as well as in India. Most of the deaths caused by CVD are sudden and without giving any chance to provide any medical help. To avoid such impulsive accidental deaths precautions are always required. Due to this heart patients require continuous monitoring of certain vital body parameters such as heart rate, pulse rate and electrocardiogram (ECG) showing current health status clearly. In this paper we are presenting 3 - tier architecture of our prototype healthcare monitoring system using wireless sensor network (WSN) which is developed to continuously monitor certain body parameters of patient. Different biosensors available to measure heart rate, body oxygen level and temperature are attached to Arduino Nano board and recorded signals are sent to server using Node MCU ESP8266 wireless communication. Data is made available on remote servers for doctors and caregivers using ThingSpeak, an internet of things (IOT) application. In case of emergency caregivers can be notified using smart phone alerts. The system is useful for cardiac patients and can be used for infant or baby care and elderly care in home and hospitals. Accuracy of the system is found 95% with the response time of 10 seconds.

Healthcare Monitoring System Based on Wireless Sensor Network for Cardiac Patients

The application of biometric recognition in personal authentication enables the growth of this technology to be employed in various domains. The implementation of biometric recognition systems can be based on physical or behavioral characteristics, such as the iris, voice, fingerprint, and face. Currently, the attendance tracking system based on biometric recognition for education sectors is still underutilized, thus providing a good opportunity to carry out interesting research in this area. As evidenced in a typical classroom, educators tend to take the attendance of their students by using conventional methods such as by calling out names or signing off an attendance sheet. Yet, these types of methods are proved to be time consuming and tedious, and sometimes, fraud occurs. As a result, significant progress had been made to mark attendance automatically by making use of biometric recognition. This progress enables a new and more advanced biometric-based attendance system being developed over the past ten years. The setting-up of biometric-based attendance systems requires both software and hardware components. Since the software and hardware sections are too broad to be discussed in one paper, this literature survey only provides an overview of the types of hardware used. Emphasis is then placed on the microcontroller platform, biometric sensor, communication channel, database storage, and other components in order to assist future researchers in designing the hardware part of biometric-based attendance systems.

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Biometric-Based Attendance Tracking System for Education Sectors: A Literature Survey on Hardware Requirements

Many patients die all over the world due to lack of timely and proper help. A portable system for continuous physiological parameter monitoring is essential for elderly and ill patients who are not in the hospital. IOT(Internet Of Things) based patient health monitoring system will enable the doctor to view patient's health status online. Raspberry Pi board is used as the gateway or medium of sensor input devices which are attached to the patient and to send physiological parameter value of a patient to doctor computer through internet. So that necessary treatment can be given immediately by doctor remotely and doctor can be advised remotely to the patient. We are used Raspberry Pi as a gateway or medium for a serial input value of sensors. For programming, Python and C language are used. This is IOT based remote technology for medical treatment for patient.

Iot Based Health Monitoring System Using Raspberry PI - Review

This paper presents a prototype for the monitoring of Heartbeat rate. A Heart Beat (HB) sensor is being developed for acquainting the input signals using Light Dependent Resistance (LDR) and Light Emitting Diode (LED). It senses the heartbeat of a person and converts it in the form of electrical signals and pulses. The signals are amplified using a signal conditioning circuit and processed by a controller. The frequency of the signal depends on the heartbeat rate, this lays down the basic principle of the HB measuring system. The user needs to put his/her finger in the HB sensor for acquiring the input signals. Although number of methods has been proposed and implemented in this domain yet the proposed system in this text provides a simpler and robust method for measuring the heart rate. The proposed system is being implemented on the hardware and also simulated in Proteus ISIS 7.10 to prove its effectiveness. The proposed model is much more precise, straightforward and cheaper than other heartbeat rate measuring systems. This work has tried to make an easy and stout system for the monitoring of heart beat.

Heartbeat rate monitoring system by pulse technique using HB sensor

This paper presents an IoT-enabled server device which is capable of authenticating a person by fingerprint recognition and grant access to the client application for making the attendance logging possible with the increased level of security. The ability of the device is to provide precise matching of fingerprints increases the possibility of error-free attendance logging. The impact of such approach is to provide the easier use of biometric attendance system in classrooms and offices with the Wi-Fi coverage. For security purpose, the client application provides the password to the device for protection from unauthorized access.

Biometric Fingerprint Attendance System: An Internet of Things Application

Multicore platforms are being increasingly adopted in Cyber -Physical Systems (CPS) due to their advantages over single-core processors, such as raw computing power and energy efficiency. Typically, multicore platforms use a shared system bus that connects the cores to the memory hierarchy (including caches and main memory). However, such hierarchy causes tasks running on different cores to compete for access to the shared system bus whenever data reads or writes need to be made. Such competition is problematic as it may cause variations in the execution time of tasks in a non-deterministic way. This paper presents a partitioned scheduling based approach that allows one to derive bus contention-aware worst-case response-time of tasks that follow the 3-phase task model. Experiments on synthetic task sets were performed to evaluate the effectiveness of the proposed analysis in comparison to a state-of-the-art approach. The experimental results reveal an increase of up to 34 percentage points of schedulable task sets in comparison to the compared approach.

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Bus-Contention Aware Schedulability Analysis for the 3-Phase Task Model with Partitioned Scheduling

Electrical measurement of quantities plays a crucial role in the real world. Measuring voltage is one of the main tasks for developing large number of applications. This paper is focused on design and development of digital voltmeter using different techniques. It has been shown how to develop a Digital Voltmeter (DVM) from simplest type to professional digital voltmeter. Different types of techniques are adopted for making a voltmeter and the result is compared for testing the accuracy. The simulation of all techniques is done on Proteus ISIS 7.10 and implemented on the hardware. The techniques used for developing the digital voltmeter is comparator based DVM, 8051 based DVM and PIC based DVM. The accuracy of DVMs is shown by simulation in Proteus ISIS and through hardware implementation.

Design and development of digital voltmeter using different techniques

In this paper, an IoT-based smart home system is designed which consists of a number of subsystems required for a smart home. These subsystems are critical parameters monitoring with alert, home security systems, energy saving system, electrical appliance control and monitoring system. A detailed study has been done so as to find the appropriate hardware and software resources to fulfil the requirements of the smart home. Safety is one of the important concerns for IoT application which has been addressed using secure cloud platform which provides the authentication using login ID and password technique. A simple, efficient and robust architecture is proposed in the paper. The system is also implemented on the hardware set-up. The system is designed in such a way that consumes minimum power so simple sleep and wake up energy efficient algorithm is implemented along with ultra-low power MCU platform like MSP430.

Jatin Arora

Papers

Heartbeat rate monitoring system by pulse technique using HB sensor

Biometric Fingerprint Attendance System: An Internet of Things Application

Bus-Contention Aware Schedulability Analysis for the 3-Phase Task Model with Partitioned Scheduling

Design and development of digital voltmeter using different techniques

IoT-Based Smart Home Systems