VOLUME 11, ISSUE 6, JUNE 2023 | IJIREEICE

Integration of IoT and Cloud Computing to Manage the Patient E- Prescription

admin — Wed, 31 May 2023 05:08:43 +0000

Abstract: Data management is crucial to the functioning of healthcare systems and affects how well software programmes operate. The most recent equipment offers facilities that current healthcare systems do not use to allow their stakeholders to communicate with the system. The existing systems do not allow for as much freedom for chemists to collaborate as they should. Apart from this, we propose a system based on android and a web application by which a doctor has the ability to prescribe patients through an android application using stylus pen and other users such as patients, receptionists, pharmacists and admins interact with the system via their web accessibility. The suggested solution is based on combining cloud computing and Internet of Things technologies with the system. The Cloud IoT technology often finds application in remote healthcare monitoring and dispenses feasible solutions to patients with severe heath conditions and disabilities. Employing remote monitoring through Cloud and IoT aids in proactive and prior detection of diseases and as such, suitable healthcare solutions could be provided to ensure patient convenience and comfort.

Keywords: Internet of things, Healthcare, E-prescription, Cloud of Things, Arduino.

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Development of Network Analysis kits

admin — Wed, 31 May 2023 17:52:32 +0000

Abstract: To simplify a complex electrical circuit, there are various network reduction techniques. These techniques include star delta conversion, series parallel conversion, source transformation, Kirchoff law. Network theorem etc. The network theorems not only reduce or simplify the networks but also helps in calculating the network parameters.

Reciprocity theorem and RC series network are both part of syllabus engineering of course, network analysis of semester 4 of electrical program. Both these kits are developed, tested and are ready to use for laboratory purpose. These kits are developed at Rajeev Electricals. The industry expert Mr. Damle guided us in preparing the two kits. This experiential learning helped us getting the technical experience and also gave us industry exposure which definitely helped us understand the expectation of industry from a budding engineer.

The reciprocity theorem [1] is a fundamental principle in electrical engineering and physics that establishes a relationship between the electrical behaviour of two circuits. (Source and load). It states that the effect of a current in one circuit on the electric field in another circuit is the same as the effect of the same current in the second circuit on the electric field in the first circuit.

The RC series circuit is a fundamental electrical circuit consisting of a resistor and a capacitor connected in series across a voltage source. When a voltage is applied, the capacitor charges up gradually. The time it takes for the capacitor to charge is determined by time constant, which is RC that is the product of the resistance and capacitance in the circuit. When the voltage source is removed, the capacitor begins to discharge through the resistor.

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Prototype Gantry System For Polyhouse Application

admin — Thu, 01 Jun 2023 05:46:51 +0000

Abstract: This work presents the design and implementation of a Gantry System, which performs capture a photo of plants and spray the fertilize on plants. Fertilization spraying manually is the inefficient flaws and it became less productive, slow and non-flexible processing when it comes to manual mechanism. To overcome this problem a 3-axis rectangular plane gantry system is introduced, which can perform the capture a photo of plants and spray the fertilize on plants application quickly and efficiently. The system comprises of gantry robot with a conveyor system, and completely controlled by programmable logical controller. The conveyors carry’s the tray on which the fertilizer is spray with the help of the gantry robot. The robot is move in the direction of X, Y, Z, Axis. Which can help to rich any point of the playhouse.

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Design And Fabrication Of Pyrolytic Conversion System

admin — Thu, 01 Jun 2023 10:00:32 +0000

Abstract: Heating plays a vital role in science, engineering, mining, and space, where heating can be achieved via electrical, induction, infrared, or microwave radiation. For fast switching and continuous applications, hotplate or Peltier elements can be employed. However, due to bulkiness, they are ineffective for portable applications or operation at remote locations. Miniaturization of heaters reduces power consumption and bulkiness, enhances the thermal response, and integrates with several sensors or microfluidic chips.

The microheater has a thickness of ~ 100 nm to ~ 100 μm and offers a temperature range up to 1900℃ with precise control. In recent years, due to the escalating demand for flexible electronics, thin-film microheaters have emerged as an imperative research area. This review provides an overview of recent advancements in microheater as well as analyses different microheater designs, materials, fabrication, and temperature control.

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Children And Kids Swimming Safety Tracker For Avoid Shrink Through IoT

admin — Fri, 02 Jun 2023 05:44:02 +0000

Abstract: This paper propose a swimming safety tracker system is designed using Internet of Things (IoT). The proposed system is really helpful for preventing accidents when swimming to save lives. The Dip sensor is used to determine whether a person is above or below the water by sending signals to the detector circuit via a sensor. An amplifier receives the output signal for additional amplification. A/D converter is given the signal that has been enhanced. When the sensor is in a dip situation, the microcontroller begin the internal timer. RF transmitter receives the signal that has been amplified. The sensor provides the transmitter with the corresponding voltage signal as soon as the RF receiver picks up the signal that sends data to the Node MCU. The received signal calculate by microcontroller. Here the microcontroller is the flash type reprogrammable microcontroller in which we have already programmed with IOT cloud server link. Then the microcontroller received the monitored parameter from the RF receiver. These data send to cloud database for retrieve in any were by IOT and identify the DIP person for make alert sound. The proposed system gives optimal results when compared to other traditional approaches.
Keywords: IoT, Dip sensor, Node MCU, Microcontroller, Alarm

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DESIGN & FABRICATION OF ORGANIC WASTE COMPOSTING MACHINE

admin — Fri, 02 Jun 2023 06:59:53 +0000

Abstract: This work studied on the composting process of organic waste. Organic waste is the easily biodegradable waste. Organic wastes are produced from many sources Such as agricultural waste, market waste, kitchen waste, urban solid waste and municipal solid waste. Without proper management, this waste could create several environments problem. Therefore, composting is the best low-cost alternative solution to overcome this problem. The composting method can degrade all types of organic waste such as fruits, vegetables, plants, yard waste and others. The organic waste composition can be used as nutrients for crops, soil additives and for environmental management. In this project, the time for the composting process with the help of composting machine is reduced significantly. The hotel food waste is recycled as a fertilizer in order to use it in organic farming.

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EXPERIMENTAL AND SIMULATED ANALYSIS OF THREE AXIS DUMPING TRAILER

admin — Fri, 02 Jun 2023 07:15:37 +0000

Abstract: Our survey in the regard in several automobile garages, revealed the facts that mostly some difficult methods were adopted in unloading the materials from the trailer. The trailer will unload the material in only one single direction. It is difficult to unload the materials in small compact streets and small roads. In our project these are rectified to unload the trailer in all three sides very easily. Now the project has mainly concentrated on this difficulty, and hence a suitable arrangement has been designed. Such that the vehicles can be unloaded from the trailer in three axes without application of any impact force. By pressing the Direction control valve activated. The compressed air is goes to the pneumatic cylinder through valve. The ram of the pneumatic cylinder acts as a lifting the trailer cabin. The automobile engine drive is coupled to the compressor engine, so that it stores the compressed air when the vehicle running. This compressed air is used to activate the pneumatic cylinder, when the valve is activated. Keywords: pneumatic cylinder, several automobile garages, methods, automobile engine drive, vehicle running

Keywords: Pneumatics, reciprocating compressor, valves, pistons.

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Railway track crack detection system using arduino

admin — Fri, 02 Jun 2023 15:28:09 +0000

Abstract: In India, rail is one of the most frequently used means of transport, the fourth largest railway congregation in the world. Although the Indian railways are undergoing an exceptional boom, some of the main problems, such as the problem at the gate crossing, the fire disasters and the problem on the road that remains unattended and causes derailment, remain afflicted. Due to changes in the season the slopes contract and extend. Because of that, cracks on the track can develop. This proposed system detects the cracks and obstacles on the track via sensors and uses a GSM and GPS module to alert the control room via an SMS.

Keywords: Arduino, Ultrasonic sensor, IR sensor, GSM module, GPS module, DC motor, L293D motor drive

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Diagnosis of Liver Disease Using Machine Learning

admin — Sat, 03 Jun 2023 07:27:54 +0000

Abstract: Liver diseases are becoming more prevalent and can cause significant morbidity and mortality. The identification of liver maladies is a pivotal medical procedure that can have a momentous impact on the final results of patients. The traditional method of diagnosis involves the use of medical imaging and biopsy, but these techniques can be intrusive, time-consuming, and expensive. The recent development of machine learning has opened up the possibility of a non-invasive and more efficient approach to the diagnosis of liver diseases. The use of convolutional neural network (CNN) models for the identification of liver maladies from computed tomography (CT) scan images is a promising method that has received a significant amount of attention from the medical community. These models can precisely detect and categorize different types of liver maladies, such as fatty liver disease and hepatitis, with an exceptional degree of accuracy. The CNN model is instructed using an extensive dataset of CT scan images of the liver, and the network is created to recognize the patterns and features that are peculiar to various liver diseases. Once trained, the model can categorize new CT scans into different groups based on their visual features, providing clinicians with a potent tool for precise and efficient diagnosis. The use of machine learning-based approaches for liver disease diagnosis has numerous advantages, including reduced invasiveness, improved accuracy, and lower costs. It has the potential to transform the way liver diseases are diagnosed and managed, resulting in improved patient outcomes and enhanced quality of care. Nevertheless, further research is necessary to substantiate these approaches and ensure their safety and effectiveness in clinical practice.

Keywords: Liver Diseases, Machine Learning, Convolutional Neural Network, Diagnosis, CT scan

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Loan Approval System using Machine Learning Algorithm

admin — Sat, 03 Jun 2023 07:45:50 +0000

Abstract: An important step in financial institutions is the loan approval process, which establishes a borrower’s loan eligibility. Machine learning has advanced recently. In order to increase efficiency and accuracy, loan approval systems are increasingly using algorithms. This paper provides a high-level overview of a machine learning-based loan approval system, covering data preprocessing, feature selection, model selection, and evaluation. The suggested system seeks to decrease manual work and reduce default risk while improving the accuracy of loan approval decisions. The system’s excellent accuracy and efficiency, as shown by the results, make it a promising method for loan approval in financial institutions.

Keywords: Loan, Machine Learning, Prediction, Training, Testing

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