← Back to Archives
VOLUME 11, ISSUE 5, MAY 2023
HARMONICS MITIGATION IN INVERTER BY IMPLEMENTING SHEPWM TECHNIQUE
Mr. Sanket Divase, Mr. Nikhil Hasure, Mr. Shridhar Jadhav, Mr. Sushant Jadhav, Mr. Bhushan Patil, Prof. (Dr.) R. M. Malkar
Design and Simulation of Capacitive pressure Sensor using Intellisuite
Dr. M. Shanmugavalli, Vignesh. G, Harish. R, Nicolas Nesan. G, Parithi Kumar. J
IMPLEMENTATION OF TWO STAGE CONVERTER FOR ISOLATED PV SYSTEM
S.Sivasakthi, G.D.Vikram, S.Gokul, K.Sathiyamoorthi
Air Quality Index detection using Machine Learning Approach
Raghav Mundra, Rahul Singh, Poojith R.Pejawar, Mohammed Shanin, Keerthi P
DEVELOPMENT OF ELECTRICALLY OPERATED TILLER MACHINE FOR CULTIVATION
ASHWINI KUMTHEKAR, ASHISH KARNE, ATHARV DHUMAL MAHENDRA KOLI, PROF. MAHESH KUMBHARE
FIRE FIGHTING ROBOTIC VEHICLE USING ARDUINO
Namrata M, Akash M Raikar, Pooja M G, Akshata Chavan
Plant Disease Identification and Crop Recommendation Using Machine Learning And Deep Learning
Manasi Aher, Atharva Borse, Bhushan Fegade, Mrs. Aparna P. More
Design & Development of Toxic Product Detector Barricade
ABNAVE PRADYUMNAY VISHVAJEET, CHAVAN AKASH SANTOSH, DESHMUKH ATHARVA NAGESH, HALINGALE KARAN MAHAVIR, ASST.PROF. SANDEEP V. RAUT
AI BASED CRYPTO MINING
Anandakumar. K, Kokila.S, Jenisha J,rajkumar.K, Karthika.G
SOLAR AND WIND POWERED HYBRID ELECTRIC VEHICLE
Satish Battalwar, Umesh Pawar, Rajendra Kargal, Shubham Chintalghat, Prof. Varsha patil
DESIGN AND FABRICATION OF PORTABLE NOODLE MAKING MACHINE
PATIL VISHAL VISHWANATH, DALVE MANGESH DAGDU, KOKATE SHUBHAM RAJABHAU, KALOKHE SWAPNIL SANJAY, KUTEMATE HARSHAL SHAMSUNDAR, PROF. M.S . DEVDHE
DESIGN AND DEVELOPMENT OF SUSPENSION SYSTEM OF ELECTRIC VEHICLE
Abhijit Kanade, Somesh Bhalerao, Mithilesh Bibwe, Ganesh borale, Prof.Ganesh Kondhalkar
Grid Integrated Solar Energy Conversion System with Damped SOGI Control by Using Binary Hybrid Multilevel Inverter
B.Arikrishnan, R.Sevven and B.Vijayakumar
DESIGN AND DEVELOPMENT OF CHASSIS OF ELECTRIC VEHICLE
Amit Sota, Viraj Kate, Rishab Sanake, Satayam Memane, Prof.V.K.Mehtre
DESIGN AND MFG. OF CHAIRLESS CHAIR
Prathamesh Sunil Zore, Darshak Ramdas Khedekar, Rutuja Bharat Sawant, Prof. C. E. Kolambe
DESIGN AND MANUFACTURING OF SEMI- AUTOMATIC MULTI SPINDLE DRILLING ATTACHMENT ON LATHE
CHAVAN JAY SHRIDHAR, PARADE KUNDAN YUVRAJ, VADMARE KUNAL SHRIMANT, SAYYAD NIHAL FAYAZ, Prof.P.V.Jatti
Door lock system using Password and Arduino
Prof. R.K.Moje, C. H. Khadke, T. M. Lohare, V.S.Patil
Solar Energy Based Mobile Charger
Prof. R.K.Moje, S.N.Nighot, S.R.Babar, T.D.Wavadhane
RTC BASED AUTOMATIC STREET LIGHT USING ARDUINO AND LDR
Prof R.K. Moje, Jaya M. Dhakane, Srushti B. Walhekar, Tejaswi B. Sonawane
ARDUINO BASED IOT GARDEN MONITORING SYSTEM
Prof.R.K.Moje, Jaidatta Galdhar, Sagar Chaturvedi, Sakshi Kamble
IoT based Indoor Air Pollution Monitoring System
Prof.R.K. Moje, R.D. Fulari, V.S Kumbhar, S.S. Sable
Earthquake Detector Using Arduino
Prof R.K.Moje, Nikhil.V.Konnuri, Radhika.R. Ovhal, Janhavi.S. Pawar
Smoke Detection System By Using PIC Microcontroller
Prof. R.K.Moje, Samidha Ghule, Ketan Todkari, Meenal Suryawanshi
Heart Beat Sensor using Arduino UNO
Prof. R.K Moje, D.V Shetty, P.G Motirave
HOME AUTOMATION BY GOOGLE ASSISTANT
Prof. R.K. Moje, R.M. Dhormare, A.R. Patil, R.M. Kamble
Obstacle Avoiding Robot Using Arduino
Prof. R.K.Moje, A.M Kadam, T.P Ithape, A.N Surnar
Big Data Analytics and Mining for Effective Visualization and Trends Forecasting of Crime Data
Puppala Hemanth, Mareddy Vineeth Reddy
When Smart Cities Get Smarter via Machine earning: An In-Depth Literature Review
Peta Mahesh, Gade Shivaram Reddy, Kunchala Vamshi Krishna
ANTI SLEEP ALARM FOR DRIVERS
S. R. Khot, Ruturaj Shinde, Ankita Jadhav, Veda Bhosale, Adarshraj Kavale, Samrat Bhise
Abstract
HARMONICS MITIGATION IN INVERTER BY IMPLEMENTING SHEPWM TECHNIQUE
Mr. Sanket Divase, Mr. Nikhil Hasure, Mr. Shridhar Jadhav, Mr. Sushant Jadhav, Mr. Bhushan Patil, Prof. (Dr.) R. M. Malkar
DOI: 10.17148/IJIREEICE.2023.11501
Abstract: The use of power electronic converters has increased significantly in recent years due to their high efficiency, flexibility, and reliability. However, the switching action of these converters causes harmonic distortion in the output waveform, leading to undesirable effects such as electromagnetic interference, reduced power quality, and increased losses. To mitigate these issues, various modulation techniques have been developed, such as Pulse Width Modulation (PWM) and Selective Harmonic Elimination Pulse Width Modulation (SHEPWM). This paper presents a comparative study of the harmonic distortion in between PWM and SHEPWM techniques, analyzing their advantages and disadvantages, and providing insights into their performance under different operating conditions. The results indicate that SHEPWM offers superior harmonic distortion reduction at the cost of increased complexity, while PWM is simpler to implement but may require additional filtering to achieve acceptable distortion levels.
Keywords: Opto Coupler Driver, IGBT, SHEPWM, Resistive Load.
Keywords: Opto Coupler Driver, IGBT, SHEPWM, Resistive Load.
Abstract
Design and Simulation of Capacitive pressure Sensor using Intellisuite
Dr. M. Shanmugavalli, Vignesh. G, Harish. R, Nicolas Nesan. G, Parithi Kumar. J
DOI: 10.17148/IJIREEICE.2023.11502
Abstract: The design and modelling of a capacitive pressure sensor are presented in this work. High sensor sensitivities and resolutions have been accomplished using Micro Electro Mechanical Systems (MEMS) technology. Initial information on the simulation and design of such a sensor is provided in this report. The diaphragm deformation-induced capacitance change is used in capacitive sensing. A polycrystalline diaphragm that makes up the sensor deflects when pressure is applied to it. When pressure is applied, the 211m diaphragm deflects, altering the capacitance between the polysilicon diaphragm and silicon substrate. A high working pressure range and good linearity are achieved in the simulation of the MEMS capacitive pressure sensor in touch mode. To optimise the design, enhance the performance, and shorten the manufacturing process, Intellisuite software is used to model and simulate MEMS capacitive pressure sensors.
Keywords: Capacitive pressure sensor, MEMS, PolySilicon, Sensor
Keywords: Capacitive pressure sensor, MEMS, PolySilicon, Sensor
Abstract
IMPLEMENTATION OF TWO STAGE CONVERTER FOR ISOLATED PV SYSTEM
S.Sivasakthi, G.D.Vikram, S.Gokul, K.Sathiyamoorthi
DOI: 10.17148/IJIREEICE.2023.11503
Abstract: In places without a grid, standalone solar PV systems have come to be seen as viable solutions to electrical issues. When creating these devices, it is quite challenging to get a photoelectric system, DC-DC inverter, DC-AC converter, and control system to operate at maximum capacity. In this study, a boost converter, an inverter, and batteries with a bidirectional converter are introduced as a freestanding two stage method. In order to modify the inverter output, a unique virtual synchronous generator (VSG) controller is created and put into practise in this study. To regulate the inverter output and realise the maximum power of the PV system, the VSG element and the maximum power point tracking (MPPT) are utilised in this study. Extensive MATLAB simulations were implemented to verify and evaluate the new control strategy design in a variety of scenarios, including load fluctuations. With the help of several MATLAB simulations, the system output was assessed. Console testing was used in a hands-on experiment for the VSG. We were unable to test the full system since the laboratory lacked the necessary tools.
Keywords: MPPT, DC-DC boost converter, PV array, virtual synchronous generator.
Keywords: MPPT, DC-DC boost converter, PV array, virtual synchronous generator.
Abstract
Air Quality Index detection using Machine Learning Approach
Raghav Mundra, Rahul Singh, Poojith R.Pejawar, Mohammed Shanin, Keerthi P
DOI: 10.17148/IJIREEICE.2023.11504
Abstract: The emission of contaminants is referred to as air pollution. It harms forests, crops, animals, and other things. To avoid this issue,air quality must be predicted from pollutants and preventive measures should be taken. By foreseeing outcomes with the highest degree of accuracy, the goal is toInvestigate machine learning-based air quality forecasting solutions. The model offers a Model parameter sensitivity analysis manual with performance in terms of accuracy. The accuracy of the Support Vector Machine model is the lowest, while that of The maximum is the Gaussian Naive Bayes model. Using established performance characteristics, these models' performances are compared and evaluated. The XGBoost model surpassed the competition and achieved the strongest linearity between the predicted data and the actual data.
Keywords: Random Forest Classifier
Keywords: Random Forest Classifier
Abstract
DEVELOPMENT OF ELECTRICALLY OPERATED TILLER MACHINE FOR CULTIVATION
ASHWINI KUMTHEKAR, ASHISH KARNE, ATHARV DHUMAL MAHENDRA KOLI, PROF. MAHESH KUMBHARE
DOI: 10.17148/IJIREEICE.2023.11505
Abstract: Earlier Farmers were using Traditional farming methods which is time consuming and hardworking hence we introduce new technology called tractors which can be used as cultivator to plow/cultivate land. Generally, these machines are costlier, polluting our environment and not affordable to our Indian farmers, hence we decided to make compact portable electrically operated cultivator (Tiller) machine at affordable rate. Working of this machine is based on battery and motor mechanism which can be capable to move cutter or tiller. Rather than developing IC engine-based mechanism we prefer to work on electrically operated mechanism as it is clean source of energy and don’t pollute environment as well. Majority of our Indian farmers adopt subsistence farming in which they follow traditional farming methods. Such farming is very hardworking and not more efficient so our basic aim of this project is to developed small portable cultivator machine which turn towards modern farming methods. This report describes design, manufacturing, fabrication analysis of proposed model. Our project aims to achieve high safety, reduces human effort, increases the efficiency of the soil tiller, reduces thework load, reduces the fatigue of workers and reduces maintenance cost.
Keywords: Electric motor, Battery, Controller, Differential, Tiller
Keywords: Electric motor, Battery, Controller, Differential, Tiller
Abstract
FIRE FIGHTING ROBOTIC VEHICLE USING ARDUINO
Namrata M, Akash M Raikar, Pooja M G, Akshata Chavan
DOI: 10.17148/IJIREEICE.2023.11506
Abstract: The goal of this thesis is to create an unmanned fire extinguisher robot and an automated system. These days, fire mishaps happen often, whether or not humans are involved. A fire incident is a catastrophe that may result in victim fatalities, property loss, and long-term disabilities. Firefighters are generally responsible for responding to fire emergencies, but they frequently face greater risks when putting out a fire, particularly in dangerous locations like nuclear power plants, oil refineries, petrol tanks, etc. They encounter additional challenges when a fire breaks out in a small, congested area because they must navigate between building remnants and other obstructions in order to put out the fire and save lives.
Abstract
Plant Disease Identification and Crop Recommendation Using Machine Learning And Deep Learning
Manasi Aher, Atharva Borse, Bhushan Fegade, Mrs. Aparna P. More
DOI: 10.17148/IJIREEICE.2023.11507
Abstract: Identification of plant diseases and advice on crops are essential duties for agricultural businesses. The use of algorithms based on deep learning and machine learning has become crucial due to the rising demand for food supply and the need to maximize agricultural yields. In this article, we suggest a paradigm for the use of the machine and deep learning methods to identify plant illnesses and to prescribe crops and fertilizers. The framework consists of three main components: plant disease identification, crop recommendation, and fertilizer recommendation. In the plant disease identification component, we use the image classification technique to identify the type of disease affecting the plant based on its symptoms. We then use deep learning algorithms such as convolutional neural networks (CNNs) to classify the disease accurately. In the crop recommendation and fertilizer recommendation components, we use regression algorithms to predict the yield of crops based on various factors such as soil type, climate, and the presence of plant diseases. The results of our experiments demonstrate the efficiency of our framework in accurately identifying plant diseases and recommending crops with high yields. Our approach can help farmers make informed decisions about the crops they should grow, and the diseases they should be aware of, leading to better crop yields and reduced crop losses
Keywords: Agriculture,CNN,Regression.
Keywords: Agriculture,CNN,Regression.
Abstract
Design & Development of Toxic Product Detector Barricade
ABNAVE PRADYUMNAY VISHVAJEET, CHAVAN AKASH SANTOSH, DESHMUKH ATHARVA NAGESH, HALINGALE KARAN MAHAVIR, ASST.PROF. SANDEEP V. RAUT
DOI: 10.17148/IJIREEICE.2023.11508
Abstract: The term “Smokeless Tobacco” refers to the consumption of unburned tobacco, in the form of chewing, spitting, dipping, and snuff. Consumers chew the tobaccoin the mouth and spit out the juice that builds up. Nicotine and other constituentsare absorbed in the lining of oral cavity. People of many regions, including India,Pakistan, other Asian countries, and North America, have a long history of smokeless tobacco use. Approximately 28 chemical constituents present in smokeless tobacco are carcinogenic in nature, among which nitrosamine is the most prominent. According to the National Report of Global Adult Tobacco Survey conducted in India and Bangladesh, the current prevalence of smokeless tobacco use is 25.9 and 27.2%, respectively. There are 30 different types of smokeless products available in these countries, including zarda, which contains dried and boiled tobacco leaves, limes, areca nut, additives, spices, and tannins. Oral cancer accounts for 30 to 40% of cancer cases reported in India, and the most obvious cause is the extensive use of tobacco products, consumed via smoking and/or smokeless chewing products.
Abstract
AI BASED CRYPTO MINING
Anandakumar. K, Kokila.S, Jenisha J,rajkumar.K, Karthika.G
DOI: 10.17148/IJIREEICE.2023.11509
Abstract: The major problems that follow arise when mining cryptocurrency on standard PCs: 1. System health issues, such as system overheating 2. System availability free timing algorithm for mining 3. The ratio of electricity use to cryptocurrency coin. Although it was initially impossible to mine Bitcoin using laptops and desktops, the rising mining difficulty and the introduction of hardware called Application Specific Integrated Circuits (ASICs) designed specifically for Bitcoin mining have all but eliminated the possibility of doing so. To the best of our knowledge, there is currently no academic literature on the dynamic opcode analysis of crypto mining, hence we provide the first such practical investigation. In fact, this is the first effort of its kind to present opcode analysis on files that cannot be executed. Our findings demonstrate that dynamic opcode analysis may identify browser-based crypto mining inside our dataset with up to 100% accuracy. Additionally, our algorithm can discriminate between crypto mining sites, benign sites that have been weaponized, benign sites that have been de-weaponized, and benign sites in the real world. Index words: Artificial Intelligence, Crypto Mining, Crypto currency
Abstract
SOLAR AND WIND POWERED HYBRID ELECTRIC VEHICLE
Satish Battalwar, Umesh Pawar, Rajendra Kargal, Shubham Chintalghat, Prof. Varsha patil
DOI: 10.17148/IJIREEICE.2023.11510
Abstract: Due to scarcity of fossil fuel in future and its detrimental effect on the environment, an alternative energy has to be discovered. Wind power is clean and sustainable natural resources that has yet to be fully utilized in the automotive industry. Also, the sun is probably the most important source of renewable energy available today. The hybrid system has been designed and installed to generate power which combines wind turbine and solar panel. The hybrid model system is renewable energy system, which helps conserve energy by reducing the use of fuel in vehicle. Hence developing a new method for the economical evaluation of Hybrid Systems for electricity production. This project proposes a hybrid electric vehicle (HEV) system which can resolve the major troubles of pollution. Wind and solar are the commonly used renewable energy resources. Nowadays hybrid electric vehicles (HEVS) are energized by an internal combustion engine with the combination of one or more electric motors which use energy stored in batteries. To charge the battery, a HEV cannot plug in to off board sources of electricity. As an alternative, regenerative braking and the internal combustion engine are used by the vehicle to charge. Hence the proposed system can reduce fossil fuel use, decrease pollution, and allow renewable energy sources for transportation.
Abstract
DESIGN AND FABRICATION OF PORTABLE NOODLE MAKING MACHINE
PATIL VISHAL VISHWANATH, DALVE MANGESH DAGDU, KOKATE SHUBHAM RAJABHAU, KALOKHE SWAPNIL SANJAY, KUTEMATE HARSHAL SHAMSUNDAR, PROF. M.S . DEVDHE
DOI: 10.17148/IJIREEICE.2023.11511
Abstract: Many of us enjoy eating noodles, considering it healthy and delicious fast food. This project aims to help people in making noodles easily, quickly and on a wider scale. The first stage of the project with brainstorming, visualizing the idea, forecasting all our needs in the project and deeper research was held between all competitive noodle machines in the market. Proposed Noodle machine with compact Design, portable and operated. single person. Extrusion of noodle at shaping die by a continuous feed of dough in the hopper which is pushed towards shaping die by thread conveyor to achieve the desired shape of noodle. Design and development of noodle machine by integrating all ideas together and testing of Automatic noodle machine which is operated by DC-power source.
Abstract
DESIGN AND DEVELOPMENT OF SUSPENSION SYSTEM OF ELECTRIC VEHICLE
Abhijit Kanade, Somesh Bhalerao, Mithilesh Bibwe, Ganesh borale, Prof.Ganesh Kondhalkar
DOI: 10.17148/IJIREEICE.2023.11512
Abstract: With the technological progress in every part of the world of physics, there are advancements in automobile industry too which are pacing towards the zenith of perfection each day. The automobiles consist of many sections and one of those sections is a suspension system. This project is based on Double-Wishbone (DWB) suspension system which belongs to the independent type of suspension systems. The role of suspension system is to maximize the contact surface between the car and the road which enhances the steering stability and handling of the vehicle by evenly distributing the weight of vehicle on the tires. The end goal of using a good suspension system is to provide comfort to its. Suspension system is an important component in automotive systems. The system's role is to decrease vibrations and road shocks because the vehicle moves on surfaces. The work describes the methodology of double wishbone suspension method of analysis and design. Layout of Shock absorber and spring were considered. CATIA did the modeling of components and assembly.
Abstract
Grid Integrated Solar Energy Conversion System with Damped SOGI Control by Using Binary Hybrid Multilevel Inverter
B.Arikrishnan, R.Sevven and B.Vijayakumar
DOI: 10.17148/IJIREEICE.2023.11513
Abstract: In this paper, a damped second-order generalized integral (DSOGI) controlled binary hybrid multilevel inverter (BHMLI) driven connected to the grid solar energy converting system (SECS) is presented. The source of voltage for the inverter's H-bridge's DC-link is modified by the BHMLI architect's cascaded half-bridge arrangement producing an approximation of the reference waveform. The output waveform amplitude is improved, and the H-bridge switches' dV/dt is decreased. In transient situations, the DSOGI control reduces oscillations and overshoots and prolongs the service life of low power switches. It is used for the first time in literature in the multilayer inverter application. In addition to reducing the load's demands for harmonic and reactive power, the SECS is made to inject active power into the grid. The cascading of ‘n’ half-bridges and one H-bridge yield (2(nC1) 1) output voltage levels. The operation of the DC-DC converter's incremental conductance (IC) algorithm-based maximum point tracking (MPPT) allows for the maximum power extraction from solar photovoltaic (PV) arrays. It is accomplished via an isolated SIMO-SEPIC (single-input, multiple-output, single-ended primary inductance converter). The analysis of SECS with 15-level BHMLI uses both extensive simulation and a hardware prototype. Additionally, the system's shunt active filter functioning is tested under various load scenarios, and the grid power quality is maintained during operation within the IEEE-519 standard. The experimental examination at steady-state and dynamic fluctuations of load-side and insolation variations validates the theoretical assertions. The setup constructed in the lab is evaluated for a 5 kW, 400 V, three-phase system.
Keywords: Multilevel inverter, SIMO-SEPIC, solar PV, power quality.
Keywords: Multilevel inverter, SIMO-SEPIC, solar PV, power quality.
Abstract
DESIGN AND DEVELOPMENT OF CHASSIS OF ELECTRIC VEHICLE
Amit Sota, Viraj Kate, Rishab Sanake, Satayam Memane, Prof.V.K.Mehtre
DOI: 10.17148/IJIREEICE.2023.11514
Abstract: We are from the chassis department and were required to build a strong and light chassis for 6 seated vehicles. Aspects of ergonomics, safety, ease of manufacture, and reliability are incorporated into the design specifications. The analysis is conducted on all major components to optimize strength and rigidity, improve vehicle components, and reduce complexity and manufacturing costs. 3D models have been made for analysis purposes by using Solidworks software and analysis has been made.3D assembly models of vehicles are designed for understanding purposes.
Abstract
DESIGN AND MFG. OF CHAIRLESS CHAIR
Prathamesh Sunil Zore, Darshak Ramdas Khedekar, Rutuja Bharat Sawant, Prof. C. E. Kolambe
DOI: 10.17148/IJIREEICE.2023.11515
Abstract: It is very difficult to stand and work for overall shift in the company by a worker. This will reduce the efficiency of the worker. The solution to this problem is to have a portable device, which has an ergonomic design, low cost exoskeletons. In this work a mechanical ergonomics device that is designed around the shape and function of the human body, with segments and joints corresponding to those of the person it is externally coupled with. It functions as a chair whenever it is needed and is coined as Chair less Chair. Worker in industrial can wear it on legs like an exoskeleton. It locks into place and you can sit down on it. The device never touches the ground, which makes it easier to wear: a belt secures it to the hips and it has straps that wrap around the thighs. These are specially designed and part of the mechanism, but an alternate version works with any footwear and touches the ground only when in a stationary position. The user just moves into the desired pose. It will fit closely to lower part of the body as an external body part on which maximum body forces act upon. It is a cost effective product and any error in design may fail the structure, which creates loss. So, these forces should be carefully analyzed during the design of structure. The best way to predict these forces during pre- manufacturing stage is to make an analysis on the structure with the help of software. This helps in estimating the stresses induced on the structure, which is one of the most important criteria for evaluation of the model.
Keywords: The Exoskeleton; chair less chair; ergonomics.
Keywords: The Exoskeleton; chair less chair; ergonomics.
Abstract
DESIGN AND MANUFACTURING OF SEMI- AUTOMATIC MULTI SPINDLE DRILLING ATTACHMENT ON LATHE
CHAVAN JAY SHRIDHAR, PARADE KUNDAN YUVRAJ, VADMARE KUNAL SHRIMANT, SAYYAD NIHAL FAYAZ, Prof.P.V.Jatti
DOI: 10.17148/IJIREEICE.2023.11516
Abstract: The challenge of developing new machining industries and company is mainly focused on the achieving of best quality, time saving operation for increasing the of production, less removal of materials of cutting tools, hence rising the performance of the instrument. Now a day challenge of market, manufacturers and giving better performance are compelled to be more responsive to the customer’s demands regarding more quality, specific quantity, minimum cost, and within time. Productivity can be increased by decreasing the overall machining time and combining the machining operations etc. The better direction to increase the production rate (productivity) along with quality and quantity is by use of special type of modifying lathe. The Productivity and performance of the available or existing drilling lathe will be increased by manufacturing, designing and Fabricating the newly type of Multiple Spindle Drilling Head. Multi-spindle drilling attachment, Productivity, Accuracy, Design, Construction and Manufacturing.
Abstract
Door lock system using Password and Arduino
Prof. R.K.Moje, C. H. Khadke, T. M. Lohare, V.S.Patil
DOI: 10.17148/IJIREEICE.2023.11517
Abstract: Nowadays we required security from stranger. Hence we can design this type of door lock. In this Venture lets learn howto construct a Watchword based entryway bolt framework by meddle Arduino enter the password using the 4×4 keypad.We moreover interface an LCD show to form enter the password and change the password without encoding Arduino Once more. We are employing a Solenoid bolt which locks and opens the entryways by entering the secret word through the keypad and LCD show is utilized to Send events and messages.With this Extend ready to construct a security framework which works with secret word. In this Project we are building a security framework which works with watchword. But by increment in innovation, modern sort of locks such as electronic locks, savvy locks were concocted and individuals are utilizing them broadly to secure their resources. So, lets utilize the highlights Arduino micro control keyboard to function the Solenoid lock utilizing watchword. You'll coordinated this extend with indeed lockers
Keywords: Arduino, Relay module, Solenoid lock, 4x4 Matrix Keypad Module
Keywords: Arduino, Relay module, Solenoid lock, 4x4 Matrix Keypad Module
Abstract
Solar Energy Based Mobile Charger
Prof. R.K.Moje, S.N.Nighot, S.R.Babar, T.D.Wavadhane
DOI: 10.17148/IJIREEICE.2023.11518
Abstract: we have use other methods to charge the mobile it is so costly. The solar energy is highly efficient and economical to use. Works on the principle that when light falls on the solar cell, electron -hole pairs are created in the n- type emitter and in the p-type base. The generated electrons (from the base) and holes (from the emitter) then diffuse to the junction and are swept away by the electric field, thus producing. Certain modules are selected and worked out to suitable specifications. Solar energy is generated by nuclear fusion reactions within the Sun. The energy that radiates from the Sun is a mixture of ultraviolet, visible, and infrared radiation. The intensity of this radiation when it reaches the Earth is 1361 W/m2. Our project intension is to create a solar mobile charger. The project design solar energy and stores it in a rechargeable battery form. This system has ability to serve dual role, both as a protective case and act as power backup for the mobile phone in solar energy.
Abstract
RTC BASED AUTOMATIC STREET LIGHT USING ARDUINO AND LDR
Prof R.K. Moje, Jaya M. Dhakane, Srushti B. Walhekar, Tejaswi B. Sonawane
DOI: 10.17148/IJIREEICE.2023.11519
Abstract: These days there's a gigantic request for vitality utilized by lighting and streets. Road light computerization framework makes a difference in diminishing vitality utilization. For the most part, road lights are on all through the night and off amid the day. But at night, road lights are not necessary in the event that there's no activity. Sparing of this vitality is exceptionally critical calculate these days as vitality assets are getting diminished day by day. To overcome from this problem, a appropriate vitality sparing strategies and lighting control to be implemented. The proposed work has two controls such as, one is to turn off/dimming the lights when there are no vehicles on the street and turn them on consequently when vehicles arrive and the other mode is to supply moo escalated light for people on foot and switch to shinning mode. On streets in minutes of side vehicles. In this work the Driven lights are utilized for road course of action, LDR is utilized as choose day night time. It consequently turns on the lights when daylight passes underneath the visual field of our eyes. .Typically done by a sensor called Light Subordinate Resistor (LDR) which really faculties light similar to our eyes Whenever the sensor detects sunlight, it automatically turns off/dim lights. The control signals of sensors have been fed to Arduino UNO Board. In the Arduino UNO Board the control logic is implemented to control lights based on vehicles and pedestrian moments with bright and dim mode of operation and to switch DIM lights during no vehicles.
Keywords: Light Dependent Resistor (LDR), Arduino ATMEGA328, Automatic Street Light , Real Time Clock (RTC).
Keywords: Light Dependent Resistor (LDR), Arduino ATMEGA328, Automatic Street Light , Real Time Clock (RTC).
Abstract
ARDUINO BASED IOT GARDEN MONITORING SYSTEM
Prof.R.K.Moje, Jaidatta Galdhar, Sagar Chaturvedi, Sakshi Kamble
DOI: 10.17148/IJIREEICE.2023.11520
Abstract: Gardening is probably one of the best hobbies a more hardworking nature lover can do. This hobby is not for nature lovers who just want... These plants require constant care and attention. Sometimes it's a burden. Just as a gardener is out of work for a while, a garden can be neglected for a while. The Internet of Things can be a good solution to this. The garden can be updated with electronic devices that continuously monitor plants and soil so that plants can be watered and shaded as needed. All of this can be managed and monitored online using IoT applications.
This project uses the Internet of Things to create a simple garden landscape. In agricultural countries like India, many people go to work thinking of agriculture. Most people love planting trees at home, but most of all they love trees because of the time they take to work. The only way to address this problem is to update existing agricultural practices by observing plant growth. The planning process therefore aims to monitor intellectual developments in industrial automation technologies and the Internet of Things. The Internet of Things (IoT) has many applications in agriculture and development monitoring. The goal of this article is to improve plant growth by controlling humidity and temperature with humidity and temperature sensors. This article attempts to grow less irrigated crops by providing users with automatic watering. Water management is essential as most people spend a lot of time watering their plants. The proposed system processes the data sent by the sensors to predict the quality of plant growth. With the help of humidity and temperature sensors, information such as humidity and temperature are obtained and irrigation is performed according to these readings. The best thing about this system is that it creates a suitable environment for plants to grow while reducing the amount of water. Keywords - Green Finger, Smart Tracking, Internet of Things, Humidity Sensor, Temperature Sensor.
This project uses the Internet of Things to create a simple garden landscape. In agricultural countries like India, many people go to work thinking of agriculture. Most people love planting trees at home, but most of all they love trees because of the time they take to work. The only way to address this problem is to update existing agricultural practices by observing plant growth. The planning process therefore aims to monitor intellectual developments in industrial automation technologies and the Internet of Things. The Internet of Things (IoT) has many applications in agriculture and development monitoring. The goal of this article is to improve plant growth by controlling humidity and temperature with humidity and temperature sensors. This article attempts to grow less irrigated crops by providing users with automatic watering. Water management is essential as most people spend a lot of time watering their plants. The proposed system processes the data sent by the sensors to predict the quality of plant growth. With the help of humidity and temperature sensors, information such as humidity and temperature are obtained and irrigation is performed according to these readings. The best thing about this system is that it creates a suitable environment for plants to grow while reducing the amount of water. Keywords - Green Finger, Smart Tracking, Internet of Things, Humidity Sensor, Temperature Sensor.
Abstract
IoT based Indoor Air Pollution Monitoring System
Prof.R.K. Moje, R.D. Fulari, V.S Kumbhar, S.S. Sable
DOI: 10.17148/IJIREEICE.2023.11521
Abstract: With the increasing concern over indoor air pollution and its impact on human health, there is a growing need for effective monitoring systems that provide real-time data on air quality parameters. This paper presents an IoT-based indoor air quality monitoring system designed to accurately measure and analyze key pollutants in indoor environments. The proposed system utilizes wireless sensor nodes, a central gateway, and cloud-based analytics to enable continuous monitoring and management of indoor air quality. Users can access the system's monitoring and analysis features through a user-friendly web or mobile interface, enabling them to make informed decisions regarding indoor air quality management. The system also allows for remote monitoring and control, providing flexibility for users to assess and improve air quality even when they are not physically present in the monitored environment. This study contributes to the growing body of research on indoor air quality and provides new strategies for improving indoor air quality and safeguardinghuman health.
Keywords: Indoor Air Pollution, AQI, Real-time monitor-ing, Data analysis.
Keywords: Indoor Air Pollution, AQI, Real-time monitor-ing, Data analysis.
Abstract
Earthquake Detector Using Arduino
Prof R.K.Moje, Nikhil.V.Konnuri, Radhika.R. Ovhal, Janhavi.S. Pawar
DOI: 10.17148/IJIREEICE.2023.11522
Abstract: Earthquake is an inevitable phenomenon that happens quickly and cannot be prevented, but can be warned. An accelerometer ADXL335 sensor is used to detect pre-earthquake vibrations. When a vibration occurs, the accelerometer detects and converts the equivalent ADC value. These digital values are then read by the microcontroller Arduino. Arduino then compares these values with the current values.If the Arduino detects that the standard value is greater than the threshold, it will beep and display a message on the 16x2 LCD indicating the alarm status and the LED will light up at the same time. SMS notification messages are sent to the relevant mobile phone number using the GSM module. Both sensors are used for fire detection and gas leaks in the building can be detected using a combination of flame and smoke. If an SMS notification is detected, it will be sent to the corresponding mobile number.
Keywords: Accelerometer, Arduino.
Keywords: Accelerometer, Arduino.
Abstract
Smoke Detection System By Using PIC Microcontroller
Prof. R.K.Moje, Samidha Ghule, Ketan Todkari, Meenal Suryawanshi
DOI: 10.17148/IJIREEICE.2023.11523
Abstract: Smoke is detected by the smoke sensor. The smoke sensor produces the analog voltage corresponding to the amount of smoke detected. This analog voltage is sent to PIC microcontroller. Three conditions are defined according to the amount of smoke detected. These conditions are shown by both different coloured light emitting diodes and liquid crystal display simultaneously. The required program is written in Pic BASIC Pro language in MicroCode Studio software. The program is compiled and downloaded into PIC18F4550 microcontroller via GTP USB Lite programmer.
Keywords: PIC18F4550 microcontroller, Pic Basic Pro language.
Keywords: PIC18F4550 microcontroller, Pic Basic Pro language.
Abstract
Heart Beat Sensor using Arduino UNO
Prof. R.K Moje, D.V Shetty, P.G Motirave
DOI: 10.17148/IJIREEICE.2023.11524
Abstract: This research paper presents the development of a portable heartbeat sensor system using Arduino Uno, Max30100 sensor module, I2C module, and 1602A LED display. The Max30100 sensor module utilizes optical sensing techniques, integrated with Arduino Uno via the I2C module. The system provides accurate heart rate measurements displayed on the 1602A LED display. Experimental validation confirms the system's reliability. The outcomes showcase the feasibility of Arduino-based heartbeat sensor systems in healthcare and fitness applications.
Keywords: ARDUINO UNO, Max30100 module, Heartbeat sensor.
Keywords: ARDUINO UNO, Max30100 module, Heartbeat sensor.
Abstract
HOME AUTOMATION BY GOOGLE ASSISTANT
Prof. R.K. Moje, R.M. Dhormare, A.R. Patil, R.M. Kamble
DOI: 10.17148/IJIREEICE.2023.11525
Abstract: The thought behind Home Automation by Google Assistant is to control home devices with using our voice. There are many to do that in market but making our own is best. In this project requires voice command by the Google Assistant. Sinric Pro account which is cloud base free IOT web server used to create virtual switches. In this project of home Automation the person gives commands to Google Assistant the appliances like Bulb, Fan, etc. they can be control accordingly. When the person gives command to google Assistant and it decodes and it sends to ESP32. The Relay control by ESP32 to turn it ON or OFF as per Google Assistant request. The communication between the Application and ESP32 is establish by Wi-Fi(Internet).
Abstract
Big Data Analytics and Mining for Effective Visualization and Trends Forecasting of Crime Data
Puppala Hemanth, Mareddy Vineeth Reddy
DOI: 10.17148/IJIREEICE.2023.11527
Abstract: Enormous Data Analytics (BDA) is an efficient methodology for examining and recognizing various examples, relations and patterns inside a huge volume of information. In this paper we apply BDA to criminal information where exploratory information examination is directed for representation and patterns expectation. A few best-in-class information mining and profound learning methods are utilized. The prescient outcomes show that the Prophet model and Kera stateful LSTM perform in a way that is better than neural organization models, where the ideal size of the preparation information is discovered to be three years. These promising results will profit for police divisions and law requirement associations to more readily comprehend wrongdoing issues and give bits of knowledge that will empower them to follow exercises, foresee the probability of occurrences, adequately send assets and improve the dynamic cycle. With the help of such strategies, BDA can help us without any problem recognize wrongdoing designs which happen in a specific territory and how they are connected with time. The ramifications of AI and measurable methods on wrongdoing or other enormous information applications, for example, car crashes or time arrangement information, will empower the examination, extraction and comprehension of related examples and patterns, at last aiding wrongdoing anticipation and the executives. separating and standardization, Google maps-based Geo mapping of the highlights are actualized for perception of the measurable outcomes. Different methodologies in machine learning, profound learning, and time arrangement demonstrating are used for future patterns examination. 1) A progression of insightful investigations are directed to investigate and clarify the wrongdoing information in three US urban communities; 2) We propose a novel visual portrayal which is equipped for taking care of huge datasets and empowers clients to investigate, think about, and examine developmental patterns and examples of wrongdoing occurrences; 3) A mix and correlation of various AI, profound learning and time arrangement displaying calculations to foresee patterns with the ideal boundaries, time spans and models.
Keywords: Crime data Forecast , Visualization of Crime data, Big data analytics for crime data analytics.
Keywords: Crime data Forecast , Visualization of Crime data, Big data analytics for crime data analytics.
Abstract
When Smart Cities Get Smarter via Machine earning: An In-Depth Literature Review
Peta Mahesh, Gade Shivaram Reddy, Kunchala Vamshi Krishna
DOI: 10.17148/IJIREEICE.2023.11528
Abstract: The manuscript represents a comprehensive and systematic literature review on the machine learning methods in the emerging applications of the smart cities. Application domains include the essential aspects of the smart cities including the energy, healthcare, transportation, security, and pollution. The research methodology presents a state-of- the-art taxonomy, evaluation and model performance where the ML algorithms are classified into one of the following four categories: decision trees, support vector machines, artificial neural networks, and advanced machine learning methods, i.e., hybrid methods, ensembles, and Deep Learning. The study found that the hybrid models and ensembles have better performance since they exhibit both a high accuracy and low overall cost. On the other hand, the deep learning (DL) techniques had a higher accuracy than the hybrid models and ensembles, but they demanded relatively higher computation power. Moreover, all these advanced ML methods had a slower processing speed than the single methods. Likewise, the support vector machine (SVM) and decision tree (DT) generally outperformed the artificial neural network (ANN) for accuracy and other metrics. However, since the difference was negligible, it can be concluded that using either of them is appropriate.
Keywords: Smart city, big data, machine learning, ensemble, articial intelligence, deep learning, data science, smart grid.
Keywords: Smart city, big data, machine learning, ensemble, articial intelligence, deep learning, data science, smart grid.
Abstract
ANTI SLEEP ALARM FOR DRIVERS
S. R. Khot, Ruturaj Shinde, Ankita Jadhav, Veda Bhosale, Adarshraj Kavale, Samrat Bhise
DOI: 10.17148/IJIREEICE.2024.12519
Abstract: The goal of the "Anti-Sleep Alarm for Drivers" initiative is to stop sleep-related driving accidents. When the device notices that the driver is drowsy, it sounds an audible alarm and closes their eyes or nods their head. By keeping the motorist alert and awake, this alarm lowers the chance of collisions. In order to ensure everyone's safety on the road—including other drivers—the project uses sensors to track the conduct of the driver and sounds the alert when needed. The technology increases road safety by keeping the driver aware. This is a significant invention that may help avert fatalities and accidents brought on by tired drivers.
Keywords: Drivers, Sensor, Drowsy, Sleep-related driving accidents, Alert, Alarm.
Keywords: Drivers, Sensor, Drowsy, Sleep-related driving accidents, Alert, Alarm.