Journal of Engineering Technology and Sciences

Maintaining the cleanliness of the city has always required the hard work of those who work on the bottom floor, emptying the trash cans when they are full. The occurrence of a rubbish bin filling up is not entirely based on a time pattern; rather, it can occasionally fill up quickly or take longer than usual. One creative approach to improving the efficiency and smoothness of this procedure is IOT Garbage Monitoring using Weight Sensing Paper. Furthermore, weight sensors are affixed beneath the trash cans. Therefore, the system transmits the weight of the rubbish bins' fill as well as their degree of fill over the internet. The benefit of this combination sensing is that the authorities can also determine the weight of the rubbish bin. The vehicles can be driven straight to the waste bin for evacuation if it is not yet full but the weight of the fill has surpassed the capacity of the garbage lifting vehicles.

Keywords : IOT trash, paper sensing, weight lifting, and vehicle lifting

Author : Vijay Manohar and Raja Sekhar Reddy

Title : IoT-Powered Weight Sensing and Garbage Monitoring Systems

Volume/Issue : 2024;01(04)

Page No : 01-03

The learning process is highly dependent upon the characteristics of torque control of the robot manipulator based on dynamic model, and such calculated torque control is very sensitive to modelling error and external disturbances. Generally, obtaining a representation of the Coriolis torque, centrifugal force, and gravity vector is an uncommon problem. A very plausible control system for our candidate is Fuzzy Logic Controller because it is able to express the desired system behavior with relatively simple "if-then" relations that the designer can come up with through trial and error in a form of "if-then" rules. But neural networks may nevertheless be able to effectively overdetermine a system’s function, but they are unable to check whether the result is correct or implausible. They work well together. When things are combined, we are able to learn from fuzzy logic and to represent knowledge with neural networks. Above, we demonstrate how calculated torque management of the Puma 600 robot arm using an adaptive neural fuzzy inference system was studied. As a dynamic model, the method is shown to be capable of improving the calculated torque method on a Puma 400 robot arm. The controller design is validated using a comparative analysis based on fuzzy computed torque control. The results show that the trajectory tracking precision and stability achieved by the ANFIS controller is close to that of the fuzzy controller.

Keywords : Adaptive neuro-fuzzy inference, Robot control, Fuzzy computed torque control and system

Author : Mohit and Srinivas

Title : A Neuro-fuzzy Adaptive Inference System for Puma 400 Robot Manipulator Control

Volume/Issue : 2024;01(04)

Page No : 04-07

A system of 128 modulated channels featuring 70 GHz spacing and a bandwidth of 32.8 nm is presented throughout this study. Thus, optical signals are to be dispersed and those must fade when being sent across greater distances. As a result, occasionally we have to boost the signal by a bit. An ear doped fiber amplifier was used to maintain the same signal strength in the DWMD system. A gain supply of 20 dB average gain and a gain shape variation of 8 dB peak to peak covers the bandwidth with the EDFA. DWMD systems have been modelled using the physical EDFA model in OptSim.

Keywords : Gain Shape, EFDA and Optical Amplifier, DWDM

Author : Swetha Reddy

Title : Optical Network System with Dense Wavelength Division Multiplexing

Volume/Issue : 2024;01(04)

Page No : 08-11

Our suggestion is to employ a single ended primary inductance converter (SEPIC) as a front-end device to provide unipolar current to a permanent magnet brushless dc (BLDC) motor. In series with each phase, a switch is added. Their drive specs are a little easier to understand because all of the switches gate drives have ground references. Additionally, low voltage applications benefit from being able to increase the available input voltage to better control current. With the SEPIC converter sourced by an ac source, it is preferable to use the discontinuous conduction mode. At this operating mode the waveform of the line current is very close to that of the line voltage. We demonstrate that power factor is improved with reduced low order harmonics without the use of voltage and current sensors. The low cost and reduced number of components of the suggested topology makes it attractive for use in many types of variable speed drive applications. Using MATLAB/SIMULIK, the proposed topology is simulated and validated

Keywords : BLDC, DC motor driving, AC supply, SEPIC converter, and unipolar

Author : Manohar and Deepak

Title : Drive for Unipolar BLDC Motor based on SEPIC Converter

Volume/Issue : 2024;01(04)

Page No : 12-17

Grid connected renewable energy systems integrate such renewable energy sources as solar, wind, hydro and biomass into current power networks. These systems are critical to generating sustainable energy behaviors and reducing reliance on fossil fuels. By being connected to the grid, renewable energy facilities ensure a steady, reliable supply of energy, because they can draw power from the grid when their generation is low, and deliver excess electricity when it’s high. Solar photovoltaic (PV) systems and wind turbines are the two most common renewable energy sources that are tied into the grid. The kinetic energy from wind is captured by wind turbines, the kinetic energy of sunlight is converted to electricity by solar photovoltaic systems. Both systems feed electricity directly into the grid through inverters which convert DC power to AC at grid frequency and voltage. There are a number of advantages associated with having systems that are in communication with the grid. First, they help provide energy security, stabilize energy prices and reduce greenhouse gas emissions. In addition, excess energy generated by these systems can be exchanged to the grid under feed-in tariff or net metering schemes through which those who are 'producing' credits or revenue.

Keywords : PV panels, Fuel cells, Hydrogen, Grid, Windmill

Author : Srikanth and Hima Bindu

Title : Grid Connected to Renewable Energy Resources

Volume/Issue : 2024;01(04)

Page No : 18-22

This paper presents the design and implementation of an IoT-based real-time patient health monitoring and alert system using an ESP32 microcontroller integrated with a MAX30102 pulse oximeter/heart-rate sensor, DS18B20 digital temperature sensor, and a respiration sensor. Collected physiological data is transmitted wirelessly via Wi-Fi to the ThingSpeak cloud platform for remote visualisation and storage. A Python machine learning module running Random Forest, K-Nearest Neighbours, Support Vector Classifier, and Logistic Regression algorithms classifies health status as normal or abnormal in real time. An automated buzzer issues immediate local alerts when any monitored parameter crosses clinical threshold limits. Experimental results demonstrate measurement accuracy within instrument specifications, stable cloud connectivity, and an approximately 94% classification accuracy, offering a scalable, low-cost solution for continuous patient care in both hospital and home environments

Keywords : IoT, health monitoring, ESP32, MAX30102, DS18B20, ThingSpeak, machine learning, remote patient care, alert system

Author : Kopalli Venkanna Naidu¹, Naidu Rupasri², Pallothu Durga Asritha³, Upputholla Pavan Kumar?, and Yarabollu Lakshmana Manikanta?

Title : IoT-Based Real-Time Health Monitoring and Alert System for Continuous Patient Care

Volume/Issue : 2024;01(04)

Page No : 13-22