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VOLUME 10, ISSUE 2, FEBRUARY 2022
Smart Traffic Management System: A Literature Review
Bhuvan S T, Manjunath H.R, Abhiman H.R, Ranjan Kumar, Sachin G Rao
A Review on Battery Thermal Management System
Shivani Gonjare, Prajakta Marale, Gayatri Dharme, Salim M. Nadaf
A Review on Fast Charging System for Electric Vehicles
Vrushali Patil, Rutuja Khot, Aishwarya Gurav, Salim M. Nadaf
APPLICATION OF NUMERICALS INTEGRATION IN SOLVING A REVERSE OSMOSIS MODEL
Prof.Vishal V. Mehtre, Abhishek Ranjan
Application of Bisection Method
Prakhar Gupta, Prof. Vishal V. Mehtre
Battery Management Systems (BMS) for Increasing Battery Life Time
Prof.Vishal V. Mehtre, Koushal Kumar Jha
Newton Raphson Method for the Solution of Systems of Equations
SIMRAN MISHRA, VISHAL VAMAN MEHTRE
Review on Error Analysis In Mathematics And It’s Applications
Mr Rewant Vikram, Mr. V. V. Mehtre
Illustration of Gauss – Seidel Method Using Matlab
Satakshi Shukla
Newton Backward Interpolation Method
VISHAL VAMAN MEHTRE, PRAVEEN RANJAN
A Review on Speed Synchronization of DC Motors For Power Looms
Amit Patil,Swikrut Patil,Sumit Thorat, Salim M. Nadaf
A Review on Internet of Things Based Battery Monitoring System for Electric Vehicle
Sakshi Bhalavane, Harshada Mane, Bhuvaneshwari Patil, Anjum Attar
A Review on Coal Mine Workers Safety Monitoring and Controlling
Sucheta S. Patil, Amruta Patil, Snehal Mane, Muskan Mulani
SPEED CONTROL OF DC MACHINE USING GSM
Aftab Shikalgar, Prasad Patil, Parvej Shikalgar, R. B. Mane
IOT Based Smart Agriculture Automation System
Tripti Gautam, Prof. Vishal V. Mehtre
Research on the Influence of Sampling Methods for the Accuracy of Web Services QoS Prediction
Prof. Vishal V. Mehtre, Mr. Aditya Kisan Chavan
CARBON DIOXIDE EMISSIONS FROM SHIPPING OPERATIONS INFLUENCES LIGHTNING IN NIGERIA’S COASTAL REGION
AKPOYIBO, F.E, EZECHUKWU, A.O
RUNGE-KUTTA METHODS TO STUDY NUMERICAL SOLUTIONS OF INITIAL VALUE PROBLEMS IN ORDINARY DIFFERENTIAL EQUATIONS
Prof. Vishal V. Mehtre, Mr. Aditya Narayan Pandey
An Analysis of Numerical Solutions and Errors with Euler’s Method
Vishal V. Mehtre, Kanishka Gupta
Application of Bisection Method
Digvijay Vishnudas Barne, Prof. V. V. Mhetre
Critical Clearing Time Determination using Time Domain Method for Transient Stability Analysis of Synchronous Generator (SMIB)
Hardik S. Shukla, Sajid M. Patel, Vihang M. Dholakiya
Determination of Narrow Band Gap in Advanced Materials
Dr. Alla Srivani, D. Sridhar Kumar, Dr. Ch Nagarathnamaiah, O. Sreedevi, Dr A Raghavendra
Determination of Wide Band Gap in Advanced Materials
Dr. Srivani Alla, D.Sridhar Kumar, Dr. Ch Nagarathnamaiah, O Sreedevi, Dr. A Raghavendra
Smart Monitoring System for Autistic Patients
Damaris Eveline A E, Anushka Tyagi
FUSION OF STRUCTURAL AND TEXTURAL FEATURES FOR MELANOMA AND SKIN DISEASE RECOGNITION USING IMAGE PROCESSING
Vanaja C, Pragadeesh M, Rathesh R, Ramachandra B
DESIGN AND ANALYSIS OF MEMRISTOR BASED 7T SRAM USING LEAKAGEREDUCTION TECHNIQUES
S. JayaMangala, V. NagaMani
FPGA-based implementations– A Review
Jalaja GS, Mr. Praveen M, Dr. M Z Kurian
Automatic Irrigation System used in Crop Rotation Control and Bird Predation
Pushpa Rani MK, Dr. D Vinod Kumar
Fingerprinting Techniques for Indoor Localization: A Survey
D Chandana, Dr. Savitha C, Dr. M Z Kurian
The Impact of Artificial Intelligence in pediatric ophthalmology-ROP
Reshma Ravi C, Dr. C. Karthikeyini
Synthesis, Characterization and DC Conductivity Of PANI – CdO Composite
Manjula V T*, Farhana Parveen, Iramma G Patil, Basavaraja Sannakki
A 12-bit High speed Analog to Digital Converter
Gururaj Balikatti
Study of low-cost Arduino Uno based system to determine the response and recovery times of humidity sensor
Thalari Chandrashekar, Y.T. Ravikiran*, Venkatesha Babu KR
Crop Recommendation using Machine Learning Techniques
Syed Suhaila S
Abstract
Smart Traffic Management System: A Literature Review
Bhuvan S T, Manjunath H.R, Abhiman H.R, Ranjan Kumar, Sachin G Rao
DOI: 10.17148/IJIREEICE.2022.10201
Abstract: Traffic the executives’ framework is considered as one of the significant components of a shrewd city. With the fast development of populace and metropolitan portability in metropolitan urban areas, gridlock is frequently seen on streets. To handle different issues for overseeing traffic on streets and to help experts in legitimate preparation, a shrewd traffic the board framework utilizing the Internet of Things (IoT) is proposed in this paper. A crossover approach (blend of incorporated and decentralized) is utilized to improve traffic stream on streets and a calculation is conceived to oversee different traffic circumstances productively. For this reason, the framework accepts traffic thickness as contribution from a) cameras b) and sensors, then, at that point, oversees traffic lights. One more calculation in light of Artificial Intelligence is utilized to anticipate the traffic thickness for future to limit the gridlock. Other than this, Radio Frequency Identifications (RFID) are likewise used to focus on the crisis vehicles, for example, ambulances and fire detachment vehicles during a gridlock. If there should be an occurrence of fire out and about, Smoke sensors are likewise essential for this framework to recognize the present circumstance. To exhibit the viability of the proposed traffic the board framework, a model is created which streamlines the progression of traffic as well as associates close by salvage divisions with an incorporated server. In addition, it additionally extricates valuable data introduced in graphical organizations that might help the experts in future street arranging.
Keywords: Traffic Management, Internet of Things, RFID, Artificial Intelligence, Machine learning, Neural Networks.
Keywords: Traffic Management, Internet of Things, RFID, Artificial Intelligence, Machine learning, Neural Networks.
Abstract
A Review on Battery Thermal Management System
Shivani Gonjare, Prajakta Marale, Gayatri Dharme, Salim M. Nadaf
DOI: 10.17148/IJIREEICE.2022.10202
Abstract: Due to high energy density and long life, the lithium-ion batteries are mostly preferred for electric vehicles. Temperature has negative impact on performance of battery and life of the battery. maintain the proper range of the battery temperature is most important thing. In this context, The different methods of battery thermal management systems are discussed. This paper reviews the thermal management of Lithium Ion Batteries. This paper is based on the past studies of different cooling methods like Thermoelectric Cooling, Heat Pipe Cooling, Phase Change Material Cooling, The Battery thermal management system is proposed for the effective thermal management of the lithium ion battery.
Keywords: Lithium-Ion-Battery: Thermal Stability: Thermal management system: Cooling Methods.
Keywords: Lithium-Ion-Battery: Thermal Stability: Thermal management system: Cooling Methods.
Abstract
A Review on Fast Charging System for Electric Vehicles
Vrushali Patil, Rutuja Khot, Aishwarya Gurav, Salim M. Nadaf
DOI: 10.17148/IJIREEICE.2022.10203
Abstract: Even with today’s advances high technology, the popularity of vehicles (electric) is remains limited and it is unable to become a mainstream made of transportation. The basic reason for this is because the battery pack’s flows or limitations, such as its bulkiness, high weight (heavy) and slowness charged with s short lifespan and high toxicity risk. Among them are - As a result of these issues, slow charging speed become the most important factor to consider. When it comes to buying an electric vehicle there are a few things to consider. Therefore, various charging techniques must be thoroughly investigated in order to find the appropriate answer to these issues. In today’s competitive battery charging method, many charger manufacturers claim to be able to charge the batteries in as little as 1 hr or less. Various charging methods, such as constant voltage, constant current and pulsed charge, have been investigated and compared in order to the maximize the performance. Charging time varies depending on the type of battery pack.
Keywords: Lithium-Ion Battery: Electrical Vehicle: Charging Methods: Fast Charging.
Keywords: Lithium-Ion Battery: Electrical Vehicle: Charging Methods: Fast Charging.
Abstract
APPLICATION OF NUMERICALS INTEGRATION IN SOLVING A REVERSE OSMOSIS MODEL
Prof.Vishal V. Mehtre, Abhishek Ranjan
DOI: 10.17148/IJIREEICE.2022.10204
Abstract: Clean water is continually wanted for human residing. due to pollutants, we frequently want to purify water. One manner to do so is the use of the opposite osmosis machine. A mathematical version for the opposite osmosis system has been acquired. in this paper, we display the significance of numerical strategies in fixing the opposite osmosis version. in particular, we cognizance on the application of numerical integration techniques inside the process of solving the model. We recall three kinds of rules in numerical integration, specifically, the Riemann sums, the trapezoidal rule and the Simpson's rule. We present our studies results of those 3 rules referring to the fixing procedure of our reverse osmosis version. The Simpson's rule is the maximum correct, as it has the best order of accuracy in contrast to the Riemann sums and the trapezoidal rule. Our major point in this studies is that the numerical integration has an essential role in fixing the opposite osmosis version.
Abstract
Application of Bisection Method
Prakhar Gupta, Prof. Vishal V. Mehtre
DOI: 10.17148/IJIREEICE.2022.10205
Abstract: The method in which this project is based is called as bisection method, which states “The bisection method is an approximation method to find the roots of the given equation by repeatedly dividing the interval.” This method will divide the interval until the resulting interval is found, which is extremely small.
Abstract
Battery Management Systems (BMS) for Increasing Battery Life Time
Prof.Vishal V. Mehtre, Koushal Kumar Jha
DOI: 10.17148/IJIREEICE.2022.10206
Abstract: The battery's life span is determined by a number of factors. The internal battery parameters, which are influenced by the battery producers, and the external battery parameters, which are impacted by the battery users, are the two sets of parameters. The extrinsic parameter can have a significant impact on the lifespan. It is possible to adjust external parameters with the goal of extending battery lifetime using a battery management system (BMS). The data acquisition system, battery state computation, electrical management, thermal management, safety/supervisory management, and communication are all described in this study. It is possible to extend battery lifetime if the functions of a BMS are tailored to the battery type and application.
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Abstract
Newton Raphson Method for the Solution of Systems of Equations
SIMRAN MISHRA, VISHAL VAMAN MEHTRE
DOI: 10.17148/IJIREEICE.2022.10207
Abstract: The paper is about Newton Raphson Method which is all-inclusive to solve the non-square and non-linear problems. The study also aims to comparing the rate of performance, rate of convergence of Bisection method, root findings of the Newton meted and Secant method. It also represents a new approach of calculation using nonlinear equation and this will be similar to Newton Raphson simple method and inverse Jacobian matrix will be used for the iteration process and this will be further used for distributed power load flow calculation and will also be helpful in some of the applications. The paper also discusses the difference between the use of built in derivative function and self- derivative function in solving non-linear equation in scientific calculator. The derivation Newton Raphson formula, algorithm, use and drawbacks of Newton Raphson Method have also been discussed.
Keywords: convergence method, iteration method, self-derivation, algorithm complexity, square root of 2, computational.
Keywords: convergence method, iteration method, self-derivation, algorithm complexity, square root of 2, computational.
Abstract
Newton Raphson Method
Prof.Vishal V. Mehtre, Satyam Triyar
DOI: 10.17148/IJIREEICE.2022.10208
Abstract: The paper is prepared Newton Raphson approach this is all-inclusive to resolve the non-square and non-linear problems. The look at additionally objectives to comparing the fee of ov erall performance, charge of convergence of Bisection technique, root findings of the Newton meted and Secant method.It additionally represents a new method of calculation the usage of nonlinear equation and this could be similar to Newton Raphson easy technique and inverse Jacobian matrix can be used for the iteration system and this could be similarly used for allotted power load drift calculation and will also be beneficial in some of the packages. The paper also discusses the distinction between the usage of built in spinoff feature and self-derivative function in fixing non-linear equation in scientific calculator. The derivation Newton Raphson method, set of rules, use and disadvantages of Newton Raphson technique have additionally been discussed.
Abstract
Gauss-seidel Method
Prof. Vishal V. Mehtre, Mr. Sourabh Verma
DOI: 10.17148/IJIREEICE.2022.10209
Abstract: We shall provide a Gauss-Seidel method for solving linear equations and explore its convergence in this work. The purpose of this work is to describe and report on an experiment that was conducted to assess students' understanding of the Gauss-Seidel method. To demonstrate its efficacy, some samples are taken. I've included tasks to investigate the learner's ability to state the theorem and apply it to reasoning tasks, the impact of several concept images on their reasoning about the theorem, and the learner's ability to examine the relationship between the Gauss-Seidel method and other related mathematical concepts.
Abstract
LOAD FORECASTING
Vishal V. Mehtre, Hritik Vilas Patil
DOI: 10.17148/IJIREEICE.2022.10210
Abstract: Electricity businesses use load forecasting to predict how much power or energy they'll need to keep supply and demand balanced at all times. It is required for the proper operation of the electrical industry. Load forecasting uses previous data from the electrical system to predict future electric load. For the planning and operation of the utility, precise models for forecasting the electric power load are required. Load forecasting can also be used to support an electric utility's future system operations, such as load switching, demand-side management, and identifying and forecasting energy consumption patterns. It can be classed as short-term (a few hours), medium-term (a few weeks to a year), or long- term (a year or more) (over a year). An econometric technique is utilised for medium-and long-term forecasting. For short-term forecasting, techniques such as regression models, time series, neural networks, statistical learning algorithms, and fuzzy logic are utilised.
Keywords: Load forecasting, regression models, time series, neural networks, ARIMA model, statistical learning algorithms and fuzzy logic.
Keywords: Load forecasting, regression models, time series, neural networks, ARIMA model, statistical learning algorithms and fuzzy logic.
Abstract
Review on Error Analysis In Mathematics And It’s Applications
Mr Rewant Vikram, Mr. V. V. Mehtre
DOI: 10.17148/IJIREEICE.2022.10211
Abstract: The paper analyzed the correctness of the problems that students had to solve using math problems. It revealed that the most common type of error that the students made was OPERATIONAL ERROR. Other errors that were commonly made were conceptual errors and principal errors.
Abstract
Illustration of Gauss – Seidel Method Using Matlab
Satakshi Shukla
DOI: 10.17148/IJIREEICE.2022.10212
Abstract: A solution to a linear system in numerical linear algebra is an assignment of values to the variables that concurrently solves all the equations in the system. One of a series of iterative The Gauss–Euler technique is used to solve a linear system of equations. The Liebman technique, sometimes known as the Seidel method, is a method developed by Seidel. Consecutive displacement is a way of displacing objects in a sequential manner. It takes its name from the Carl Friedrich Gauss and Philipp Gauss were German mathematicians. Ludwig von Seidel is a Jacobian scholar who is comparable to Ludwig von Seidel. method. This publication also includes a MATLAB code for solving the problem. The Gauss–Seidel technique is used to solve a linear system of equations numerically.
Keywords: System of linear equations, Gauss-Seidel Method, MATLAB solutions
Keywords: System of linear equations, Gauss-Seidel Method, MATLAB solutions
Abstract
Newton Backward Interpolation Method
VISHAL VAMAN MEHTRE, PRAVEEN RANJAN
DOI: 10.17148/IJIREEICE.2022.10213
Abstract: This paper offers us the primary statistics of “Newton backward interpolation method” In order to lessen the numerical computations associated to the repeated utility of the prevailing interpolation components in computing a massive quantity of interpolated values, a formula has been derived from Newton’s backward interpolation formula for representing the numerical facts on a pair of variables by means of a polynomial curve. application of the components to numerical records has been proven inside the case of representing the records on the total populace of India corresponding as a feature of time. The system is appropriate in the scenario wherein the values of the argument (i.e. unbiased variable) are at equal c language.
Keywords: Interpolation, newton’s backward interpolation formula, polynomial curve, representation of numerical data
Keywords: Interpolation, newton’s backward interpolation formula, polynomial curve, representation of numerical data
Abstract
A Review on Speed Synchronization of DC Motors For Power Looms
Amit Patil,Swikrut Patil,Sumit Thorat, Salim M. Nadaf
DOI: 10.17148/IJIREEICE.2022.10214
Abstract: The synchronisation of the motor's speed is important in many sectors. The differential speed mistake causes a lot of power consumption in textile businesses. The goal of this project is to use wireless technology to synchronise several motors. In textile factories where numerous motors work simultaneously on a conveyor belt to draw textiles, it is critical that all of the motors run at the same speed in order to achieve balanced tension and avoid damaging the clothes. During speed acceleration and load changes, a new control strategy for real-time speed synchronisation of numerous induction motors is established in this study. The goal of the control technique is to stabilise each motor's speed tracking while synchronising it with the motions of other motors so that differential speed inaccuracies between several motors converge to zero. The industrial environment necessitates the synchronisation of different devices present in the sector on a daily basis. As a result, all of these motors should be synchronised in some way. Even if a single motor has a higher RPS than the others, the loss may be greater. So, taking all of these aspects into account, we built a system that can drive many DC motors at the same speed, or RPS, without any approximation.
Keywords: Speed Synchronization: DC Motor: Arduino: Power Looms.
Keywords: Speed Synchronization: DC Motor: Arduino: Power Looms.
Abstract
A Review on Internet of Things Based Battery Monitoring System for Electric Vehicle
Sakshi Bhalavane, Harshada Mane, Bhuvaneshwari Patil, Anjum Attar
DOI: 10.17148/IJIREEICE.2022.10215
Abstract: Due to high electricity density and lengthy lifestyles, lithium-ion batteries are in general desired for electric automobiles. Lithium ion battery existence cycle may be shortened by means of a few reasons consisting of overcharging and deep discharges. Overcharging battery now not only ought to considerably shorten the existence of the battery, however also cause a critical injuries which includes fire. Therefore, a battery tracking machine for EV that can notify the consumer approximately battery circumstance is vital to save you the issues. This context is primarily based on one- of-a-kind strategies of battery monitoring such as ESP Module Method, Coulomb Counting Method, RTC Module, Bluetooth Module.
Keywords: Lithium ion battery; Battery monitoring; State of Charge; Wi-Fi Module; Electric Vehicle.
Keywords: Lithium ion battery; Battery monitoring; State of Charge; Wi-Fi Module; Electric Vehicle.
Abstract
A Review on Coal Mine Workers Safety Monitoring and Controlling
Sucheta S. Patil, Amruta Patil, Snehal Mane, Muskan Mulani
DOI: 10.17148/IJIREEICE.2022.10216
Abstract: Now a day's due to global warming and climate change, there are now difficult conditions in the coal mining industry. In the industry of coal mining, automation is required to cut costs and improve productivity as well as product quality. Mining is necessary for the production of goods, infrastructure, and services that improve people's lives. The need for coal as a source of energy is always high and significant. However, hundreds of people have died in mining accidents around the world, and working on the earth poses a variety of security and health risks. So, in this paper, we suggest a mining tracking and safety system for miners. Using a different sensor, the system can monitor the underground environment and production parameters in real time and intelligently deliver early warnings, improving degree of monitoring production safety and reducing accidents in the coal mine.
Keywords: Coal Mine, Sensing Parameters, Data Transmission Techniques.
Keywords: Coal Mine, Sensing Parameters, Data Transmission Techniques.
Abstract
SPEED CONTROL OF DC MACHINE USING GSM
Aftab Shikalgar, Prasad Patil, Parvej Shikalgar, R. B. Mane
DOI: 10.17148/IJIREEICE.2022.10217
Abstract: The design of an embedded device that can manage up to eight devices by sending a specific SMS message from a mobile phone is discussed. This controller comes in helpful when we need to regulate the ON and OFF switching of devices but don't have access to a wired connection. A GSM modem is attached to a programmable microcontroller that receives SMS from a reference cell phone to do this. The control signal portion of the received SMS is extracted and converted to a format that is compatible with microcontrollers. For monitoring and sending of control signals to the modem, a PC linked to the microcontroller through serial connection via RS232 can be utilized.
Keywords: Android smartphone, Bluetooth Model, Single Microcontroller Chip.
Keywords: Android smartphone, Bluetooth Model, Single Microcontroller Chip.
Abstract
IOT Based Smart Agriculture Automation System
Tripti Gautam, Prof. Vishal V. Mehtre
DOI: 10.17148/IJIREEICE.2022.10218
Abstract: Agriculture have a vital role in the development of a country, it has been discovered in recent studies and surveys that we need to increase our food production to 2x times. As the development in the agricultural field has been immobile over the past few years thus it is required to contrivance new technologies in this field to boost food production. This system presents a smart farming technique in a limited area by using sensor nodes like temperature & humidity sensor, weather apis, climate monitoring sensor and soil moisture sensor. This system is developed in such a way to keep the cost minimal and provide a simple basic platform to monitor the parameters for growth of crops through the internet using IOT. The aim of this paper is to make people understand the use of evolving IOT network and smart agriculture system using automation. All of this is installed using an Internet of Things framework. In this IoT based smart agriculture, a system is created to monitor the farmland and fields with the help of sensors, which senses components like temperature, weather, light, humidity, soil moisture, etc., then, automate the irrigation system and allow farmers to monitor their field conditions from anywhere, anytime through IoT Platform.
OVERVIEW
This system allows the user viz. a farmer to analyse the data collected from the sensors on his/her farm and access the data from anywhere in the world using IBM Cloud services and also get Real-time weather data of the location of the farm. The motors can be controlled directly from the web UI thus allowing the farmer to take care of the farm from anywhere at anytime, provided an internet connection. Food is one of the three basic essential human needs and the farmers needs to meet the demand for food. However, as the world's population grows, the agricultural industry is confronted with numerous challenges. Changes in weather and the environment also have a significant effect on the agriculture industry. The industry has turned to technology to boost productivity to meet the growing food demand. Thus this system provides an overall solution to the problems faced by farmers in their day to day lives.
PURPOSE
In this IOT based smart agriculture, a system is formed to monitor the fields with the help of sensors, which senses weather components like temperature, light, humidity, soil moisture, etc. Then, automate the irrigation system and allow farmers to monitor their field conditions from anywhere through IoT Analytics Platform. Using this system farmers can monitor their farms and agriculture activities from anywhere in the world. Smart farming based on IoT technologies enables growers and farmers to reduce waste and enhance productivity ranging from the quantity of fertilizer utilized to the number of journeys the farm vehicles have made, and enabling efficient utilization of resources such as water, electricity, etc.
LITERATURE SURVEY
EXISTING PROBLEMS: High Hardware Costs Presently, farmers rely on a sparsely distributed network of sensors to gather data on farm conditions. In addition to the physical constraints of these sensors, they are expensive. As a result, farmers continue relying on less advanced farming technologies which limits their productivity.
Limited resources and time The role of IoT in agriculture is very important, though the integration of smart technology in this area takes place in the context of a constantly changing environment and lack of time. New technologies and ideas should be proposed to increase the efficiency of the existing systems.
Design and durability Any IoT system used in agriculture should be able to handle not only connectivity, but the conditions of outdoor spaces. The design should be done including all the intruments and equipments required for the functioning of the agriculture system. The system should be capable of overcoming all the harsh conditions (including weather and climate change).
OVERVIEW
This system allows the user viz. a farmer to analyse the data collected from the sensors on his/her farm and access the data from anywhere in the world using IBM Cloud services and also get Real-time weather data of the location of the farm. The motors can be controlled directly from the web UI thus allowing the farmer to take care of the farm from anywhere at anytime, provided an internet connection. Food is one of the three basic essential human needs and the farmers needs to meet the demand for food. However, as the world's population grows, the agricultural industry is confronted with numerous challenges. Changes in weather and the environment also have a significant effect on the agriculture industry. The industry has turned to technology to boost productivity to meet the growing food demand. Thus this system provides an overall solution to the problems faced by farmers in their day to day lives.
PURPOSE
In this IOT based smart agriculture, a system is formed to monitor the fields with the help of sensors, which senses weather components like temperature, light, humidity, soil moisture, etc. Then, automate the irrigation system and allow farmers to monitor their field conditions from anywhere through IoT Analytics Platform. Using this system farmers can monitor their farms and agriculture activities from anywhere in the world. Smart farming based on IoT technologies enables growers and farmers to reduce waste and enhance productivity ranging from the quantity of fertilizer utilized to the number of journeys the farm vehicles have made, and enabling efficient utilization of resources such as water, electricity, etc.
LITERATURE SURVEY
EXISTING PROBLEMS: High Hardware Costs Presently, farmers rely on a sparsely distributed network of sensors to gather data on farm conditions. In addition to the physical constraints of these sensors, they are expensive. As a result, farmers continue relying on less advanced farming technologies which limits their productivity.
Limited resources and time The role of IoT in agriculture is very important, though the integration of smart technology in this area takes place in the context of a constantly changing environment and lack of time. New technologies and ideas should be proposed to increase the efficiency of the existing systems.
Design and durability Any IoT system used in agriculture should be able to handle not only connectivity, but the conditions of outdoor spaces. The design should be done including all the intruments and equipments required for the functioning of the agriculture system. The system should be capable of overcoming all the harsh conditions (including weather and climate change).
Abstract
Research on the Influence of Sampling Methods for the Accuracy of Web Services QoS Prediction
Prof. Vishal V. Mehtre, Mr. Aditya Kisan Chavan
DOI: 10.17148/IJIREEICE.2022.10219
Abstract: In recent years, as the number of Web services, increases dramatically, the personalized Web service recommendation has become a hot topic in both academia and industry. The quality-of-service (QoS) prediction plays a key role in Web service recommendation systems. However, how to further improve the accuracy of QoS prediction is still a problem. Traditional QoS predicting models do not consider the impact of sampling methods on the accuracy of QoS prediction. However, the outstanding sampling method can train the predicting model more effectively and obtain higher accuracy. Therefore, it is necessary to study sampling methods based on the QoS dataset in order to obtain sample distribution closer to the original distribution, so as to improve the accuracy of the predicting models. In this paper, we first discuss how to apply several existing sampling methods to QoS datasets and then analyze their advantages and disadvantages. Finally, a novel sampling method, enhanced importance resampling (EIRS), is proposed and applied. The experiments on the real-world datasets show that our method can not only sample efficiently and accurately but also can greatly improve the accuracy of Web service QoS prediction.
Abstract
CARBON DIOXIDE EMISSIONS FROM SHIPPING OPERATIONS INFLUENCES LIGHTNING IN NIGERIA’S COASTAL REGION
AKPOYIBO, F.E, EZECHUKWU, A.O
DOI: 10.17148/IJIREEICE.2022.10220
Abstract: Diesel engines from vessels employed for shipping operations produces carbon dioxide (Co2) emissions forming clouds in the atmosphere. As particulates accumulates and collides in the cloud, static electricity is formed. When the positive and negative charges meet, the resulting great spark is what is termed lightning. Lightning related fatalities and damages persists within the Nigerian coastal lines. The focus of this paper is to investigate why in Nigeria, shipping routes measuring about 750km experiences more lightning than some other regions. Secondary sources were used. The study reveals that the flash densities along the sea routes are higher, hence, high frequency of lightning incidents.. The paper posit that Nigeria Maritime Administration and Safety Agency (NIMASA) in collaboration with the International Maritime Organization (IMO) should strategies agenda with a view to reducing Co2 emission from vessels entering Nigeria seaports as part of environmental protection efforts.
Keywords: Coastline, electricity, emission, lightning, ports, shipping,
Keywords: Coastline, electricity, emission, lightning, ports, shipping,
Abstract
RUNGE-KUTTA METHODS TO STUDY NUMERICAL SOLUTIONS OF INITIAL VALUE PROBLEMS IN ORDINARY DIFFERENTIAL EQUATIONS
Prof. Vishal V. Mehtre, Mr. Aditya Narayan Pandey
DOI: 10.17148/IJIREEICE.2022.10221
Abstract: The major goal of this paper is to look back on the work done on Runge-Kutta Methods to analyse Numerical Solutions of Initial Value Problems in Ordinary Differential Equations from 1983 to 2020. With thanks and heartfelt acknowledgment, the needed material from 1983 to 1996 for this study work was acquired freely from Hull et al. The current writers have gathered the state of this subject from 1983 to 2020 for the benefit of the new authors. newcomers to this field of study
Keywords: Runge-Kutta Methods, Initial Value Problem, Numerical Solutions, Ordinary Differential Equations
Keywords: Runge-Kutta Methods, Initial Value Problem, Numerical Solutions, Ordinary Differential Equations
Abstract
An Analysis of Numerical Solutions and Errors with Euler’s Method
Vishal V. Mehtre, Kanishka Gupta
DOI: 10.17148/IJIREEICE.2022.10222
Abstract: The Euler technique for solving initial value problems (IVP) for ordinary differential equations is the focus of this work (ODE). The proposed strategy is both efficient and practical for resolving these issues. We compare numerical results to precise solutions in order to ensure correctness. The precise answers and the numerical solutions are in good agreement. The step size must be very tiny in order to attain more precision in the solution. Finally, we look into and calculate the errors of the system. For varied step sizes, use Euler's technique.
Keywords: ODE, IVP, Euler method
Keywords: ODE, IVP, Euler method
Abstract
Application of Bisection Method
Digvijay Vishnudas Barne, Prof. V. V. Mhetre
DOI: 10.17148/IJIREEICE.2022.10223
Abstract: The method used in this project is called a bisection method. It is an approximation method that finds the roots of an equation by repeatedly dividing an interval.
Abstract
Critical Clearing Time Determination using Time Domain Method for Transient Stability Analysis of Synchronous Generator (SMIB)
Hardik S. Shukla, Sajid M. Patel, Vihang M. Dholakiya
DOI: 10.17148/IJIREEICE.2022.10225
Abstract: Transient stability of synchronous generator can be analyzed by different methods like Time Domain Method, Direct Method , Approximation Method and Artificial Intelligence Method . This work aims at the analysis of transient stability analysis of synchronous generator in power system using time domain method.Problems and issues in these analyzed by time domain method was being identified . Advantages, disadvantages of time domain method was carried out through a simulation based on Critical Clearing Time (CCT) determination and necessary modelling for Single Machine Infinite Bus(SMIB) system.
Keywords: CCT (Critical Clearing Time), Transient stability analysis, Time domain method, SMIB (Single Machine Infinite Bus).
Keywords: CCT (Critical Clearing Time), Transient stability analysis, Time domain method, SMIB (Single Machine Infinite Bus).
Abstract
Determination of Narrow Band Gap in Advanced Materials
Dr. Alla Srivani, D. Sridhar Kumar, Dr. Ch Nagarathnamaiah, O. Sreedevi, Dr A Raghavendra
DOI: 10.17148/IJIREEICE.2022.10226
Abstract: Infrared photo detectors have acquired consideration on account of its high infiltration profundity of IR light. Minimal expense and adaptability in handling make nano crystal-based IR indicator further advantage in its application. Control of the size to acquire a fitting band hole assumes a vital part for accomplishing high proficiency of IR photo detectors. Close infrared photo detectors are marketed gadgets with a wide scope of utilizations in air sounding, bio imaging, night vision, and so forth Limited band hole semiconductors like InAs, Ge, natural semiconductors, and so forth can work as photoactive materials in IR photo detector applications since they can make photograph actuated charge transporters that can be isolated at the point of interaction of a hetero junction.
Keywords: Narrow Band gap, Advanced Materials, Photo Detectors
Keywords: Narrow Band gap, Advanced Materials, Photo Detectors
Abstract
Determination of Wide Band Gap in Advanced Materials
Dr. Srivani Alla, D.Sridhar Kumar, Dr. Ch Nagarathnamaiah, O Sreedevi, Dr. A Raghavendra
DOI: 10.17148/IJIREEICE.2022.10227
Abstract: The estimation of the band hole of materials is significant in the semiconductor, nano material and sun oriented ventures. This note shows how the band hole of a material still up in the air from its UV ingestion spectrum. Measuring the band hole is significant in the semiconductor and nano material businesses. The band hole energy of encasings is enormous (> 4eV), however lower for semiconductors (< 3eV). The band hole properties of a semiconductor can be constrained by utilizing diverse semiconductor combinations like GaAlAs, InGaAs, and InAlAs. It has been found that a significant number of the nano material studies on these materials are being completed utilizing a little amount of the example. Consequently, testing turns into a central point of interest this sort of investigation. The examination was done utilizing a LAMBDA™ 1050 UV/Vis/NIR spectrometer.
Keywords: Advanced materials, Band gap, wide band gap, Spectrometer.
Keywords: Advanced materials, Band gap, wide band gap, Spectrometer.
Abstract
Smart Monitoring System for Autistic Patients
Damaris Eveline A E, Anushka Tyagi
DOI: 10.17148/IJIREEICE.2022.10228
Abstract: This paper reports on a wearable IoT monitoring system which can be used for the collection of quantified data of patients with Autism Spectrum Disorder (ASD) by which the parent or the guardian can monitor easily. The objective of the project is to monitor the children with Autism by a self-updating monitoring system. Autism is referred to behavioural disorder because of the repeated and non-functional activities of the patients. The long-term objective of the project is to use this system for data-driven detection, therapy, intervention, and progress monitoring for children with Autism. This project consists of accelerometer sensor, GPS module, Wi-Fi Module, Audio sensor, Temperature sensor connected to Arduino UNO. The accelerometer is used to detect the child’s activity continuously. The data is transferred to the mobile phones of the guardian or the parent by which the needs can be fulfilled or accidents may be prevented. Using the data collected over a period of time, intervention of this disorder can be developed in a vast manner.
Keywords: Autism Spectrum Disorder, Monitoring system, Intervention, Arduino
Keywords: Autism Spectrum Disorder, Monitoring system, Intervention, Arduino
Abstract
FUSION OF STRUCTURAL AND TEXTURAL FEATURES FOR MELANOMA AND SKIN DISEASE RECOGNITION USING IMAGE PROCESSING
Vanaja C, Pragadeesh M, Rathesh R, Ramachandra B
DOI: 10.17148/IJIREEICE.2022.10229
Abstract: The biggest organ of the body is the human skin. Its weight lies between six and nine pounds and its surface area is about two square yards. The inner part of the body is separated by the skin from the outer environment. Melanoma is a type of cancer that mostly starts in pigment cells (melanocytes) in the skin. To improve the diagnostic performance of melanoma, a dermoscopy technique was developed. Dermoscopy is a non-invasive skin imaging technique of acquiring a magnified and illuminated image of a region of skin for increased clarity of the spots on the skin. Dermatological diseases are the most prevalent diseases worldwide. Despite being common, its diagnosis is extremely difficult and requires extensive experience in the domain. Melanoma is the deadliest form of skin cancer. While curable with early detection, only highly-trained specialists are capable of accurately recognizing the disease. As expertise is in limited supply, automated systems capable of identifying disease could save lives, reduce unnecessary biopsies, and reduce costs. We use a dual-stage approach that effectively combines Computer Vision on clinically evaluated histopathological attributes to accurately identify the disease. In the first stage, the image of the skin disease is subject to various kinds of pre-processing techniques followed by feature extraction. The second stage involves the use of algorithms to identify diseases based on the histopathological attributes observed on analyzing the skin.
Keywords: Image Recognition, Skin Diseases, Melanoma, Dermoscopy Images, Classification Learner App.
Keywords: Image Recognition, Skin Diseases, Melanoma, Dermoscopy Images, Classification Learner App.
Abstract
DESIGN AND ANALYSIS OF MEMRISTOR BASED 7T SRAM USING LEAKAGEREDUCTION TECHNIQUES
S. JayaMangala, V. NagaMani
DOI: 10.17148/IJIREEICE.2022.10230
Abstract: In today’s world demand of low power devices is increasing and the reason behind this is scaling of CMOS technology. Due to the scaling, size of the chip decreases and number of transistor in system on chip (SOC) increases and this phenomenon also apply on memories that are used in SOC. Memories are the power hungry devices in any digital system but today no digital system can be completed without memories. However, the transistor miniaturization also introduces many new challenges in very large-scale integrated (VLSI) circuit design. So in future the need of low power memories is increasing and to design low power memories leakage power is attentive parameter to design low power devices because it plays a major role in increasing the total power consumption of the devices.
In this project, Dual Sleep technique is used recently it is very famous in academia and industry. It is a power reducing technique that helps in reducing leakage power in the SRAM by turning of the inactive circuit domains. Designing and calculation of parameters of simple SRAM, Memristor based SRAM and Dual Sleep based Memristor SRAM has been done with CMOS Design tool and that will do at 45 nm technology.
Keywords: Low power, Speed, SRAM, Non Volitle Memory, CMOS, Memristor, MTCMOS, Dual Sleep.
In this project, Dual Sleep technique is used recently it is very famous in academia and industry. It is a power reducing technique that helps in reducing leakage power in the SRAM by turning of the inactive circuit domains. Designing and calculation of parameters of simple SRAM, Memristor based SRAM and Dual Sleep based Memristor SRAM has been done with CMOS Design tool and that will do at 45 nm technology.
Keywords: Low power, Speed, SRAM, Non Volitle Memory, CMOS, Memristor, MTCMOS, Dual Sleep.
Abstract
FPGA-based implementations– A Review
Jalaja GS, Mr. Praveen M, Dr. M Z Kurian
DOI: 10.17148/IJIREEICE.2022.10231
Abstract: In recent days everywhere big data play a very important role. Development of big data is increasing day by day. With the development Security of data is also very important. the most important feature of big data is the length of the data is very large it affect the security of the data. Nowadays many algorithms are developed in order to increase the speed and reduce the delay of data transmission. AES (Advance encryption standard) play a major role in encryption. It encrypt the data quickly and also increases the speed and reduces the delay while transferring data. This paper carried out the literature survey of FPGA based implementations. This paper discusses about the implementation of FPGA in different applications. The papers which implement FPGA in their applications have been reviewed in terms of area utilization, power consumption and energy efficiency. This review will be helpful for those who are starting newly in FPGA to know about the area of its application. It also helps to know about the hardware on which these implementations have been tested.
Keywords: FPGA; Advance encryption standard; Big data;
Keywords: FPGA; Advance encryption standard; Big data;
Abstract
Automatic Irrigation System used in Crop Rotation Control and Bird Predation
Pushpa Rani MK, Dr. D Vinod Kumar
DOI: 10.17148/IJIREEICE.2022.10232
Abstract: Water saving irrigation system is designed based on the microcontroller. With increasing freshwater demand, it is important to make optimal use of water resources with improved agricultural productivity through objective and accurate information provided by remote sensing. The soil moisture information is collected and data is transmitted to the microcontroller computer network. In this paper we have described an application of a moisture sensor network for low- cost microcontroller based irrigation solution and real time monitoring of moisture content of soil for the purpose of control of valves for irrigation. Also this system provides provisions for controlling the irrigation system for various crops used throughout the season such as Paddy, Sugarcane, Wheat, Millet (Ragi) etc. based on water requirement for each crop which is operated on crop rotation technique. This system is very intelligent to handle three to five crops at a time. The system gets many inputs from the field and there are set of electric valve which are controlled by the system, and the water level in the field can be maintained by this set of arrangements. Along with these the system includes Ultrasonic Bird Scare Devices; a non-lethal tool can be used by farmers to minimize bird predation on crops. These devices emit an ultrasonic noise that frightens birds away from the crop. Specific Irrigation management that allows producers to maximize their productivity while saving water and prevents bird predation on crops. The system can also runs through commands from the GSM module.
Keywords: GSM, Ultrasonic, NANK Soil Sensor
Keywords: GSM, Ultrasonic, NANK Soil Sensor
Abstract
Fingerprinting Techniques for Indoor Localization: A Survey
D Chandana, Dr. Savitha C, Dr. M Z Kurian
DOI: 10.17148/IJIREEICE.2022.10233
Abstract: Location of a user or a device is of extreme importance. In case of outdoor environments, Global Positioning System (GPS) signal is widely used to determine the position of a user. However, in case of indoor environments, GPS technology fails to carryout. Hence, there is a need to develop an alternative technique for indoor localization. For indoor localization, several techniques are employed, among these techniques, fingerprinting provides several favourable features for indoor environments. This paper carries out the literature survey of fingerprinting techniques used for indoor localization. The fingerprinting is one of the most popular methods of localization because of its high accuracy compare to other methods.
Keywords: Global Positioning System (GPS); Indoor Localization; Fingerprinting
Keywords: Global Positioning System (GPS); Indoor Localization; Fingerprinting
Abstract
The Impact of Artificial Intelligence in pediatric ophthalmology-ROP
Reshma Ravi C, Dr. C. Karthikeyini
DOI: 10.17148/IJIREEICE.2022.10234
Abstract: The purpose of this paper is to consider information concerning the influence of AI in pediatric ophthalmology (retinopathy- ROP) in newborns. Retinopathy of prematurity (ROP) is a disorder that affects the eyes of premature babies weighing 1250 grams or less born before 31 weeks. A baby born between 39 to 40 weeks is considered a full-term pregnancy. Early diagnosis and suitable medication for eye diseases are of great impact to avoid visual loss. Conventional diagnosis methods depend on Ophthalmologist experience and knowledge. The number of ophthalmologists who are skilled to undertake ROP diagnosing is slowly declining globally. So Artificial Intelligence-based ROP diagnosis arrangement is crucial and it looks to be a safe, dependable, and lucrative complement to the efforts of ROP specialists, proficient in increasing patient access to screening and focusing the resources of the current ophthalmic community on infants with the potentially vision-threatening disease. AI is emerging as a new factor in medical care. AI can positively impact the practice of medicine, whether it's through speeding up the pace of research or helping clinicians make better decisions. In the present pandemic, AI for pediatric ophthalmology applications can address the high demand, prioritize and triage patients, as well as improve at home-monitoring devices and secure data transfers which will help to speed up the screen and ease the workload of clinical resources.
Keywords: Pediatric Ophthalmology, Retinopathy of prematurity, Artificial Intelligence
Keywords: Pediatric Ophthalmology, Retinopathy of prematurity, Artificial Intelligence
Abstract
Synthesis, Characterization and DC Conductivity Of PANI – CdO Composite
Manjula V T*, Farhana Parveen, Iramma G Patil, Basavaraja Sannakki
DOI: 10.17148/IJIREEICE.2022.10235
Abstract: In the present paper we are reporting the synthesis, characterization, DC conductivity and activation energy of polyaniline (PANI) with cadmium oxide (CdO) composites at different weight percentage. PANI-CdO composites were synthesized by insitu chemical oxidation polymerization method using Ammonium peroxydisulfate (APS) as an oxidizing agent and are characterized using XRD, SEM and FTIR to investigate the structure and surface morphology of composites. The DC conductivity and activation energy are studied as a function of temperature in the range of 50 - 1500C. The DC conductivity increased as temperature increases showing semiconducting nature of PANI and CdO composite.
Keywords: DC electrical conductivity, polyaniline composite, SEM, XRD and FTIR, activation energy.
Keywords: DC electrical conductivity, polyaniline composite, SEM, XRD and FTIR, activation energy.
Abstract
A 9-bit Successive Approximation Analog to Digital Converter Using µp 8085
Gururaj Balikatti
DOI: 10.17148/IJIREEICE.2022.10236
Abstract: An Hybrid technique to the circuit implementation of 9-bit analog-to-digital (ADC) converter is proposed, This method demonstrates a simple technique to increase speed of successive approximation ADC’s that require as few as 4 comparisons for 9 bit conversion. This technique doubles the conversion speed of conventional successive approximation technique. The approach divides input range into 32-quantization cells, separated by 31 boundary points. A 5-bit binary code 00000 to 11111 is assigned to each cell. A normal successive approximation converter requires 9 comparisons for 9-bit quantization, while proposed technique reduces number of comparison requirements to 4 comparisons. An experimental prototype of 9-bit ADC using proposed technique was implemented using μp 8085. Use of Microprocessor has greatly reduced the hardware requirement and cost. This technique is best suitable when high speed combined with high resolution is required. The ADC Results of 10-bit prototype is presented. The results show that the ADC exhibits a maximum DNL of 0.47LSB and a maximum INL of 0.5LSB.
Keyword: Analog to digital converter, digital to analog converter, flash ADC, Microprocessor, Successive approximation.
Keyword: Analog to digital converter, digital to analog converter, flash ADC, Microprocessor, Successive approximation.
Abstract
A 12-bit High speed Analog to Digital Converter
Gururaj Balikatti
DOI: 10.17148/IJIREEICE.2022.10237
Abstract: High resolution analog to digital converters have been based on self–calibrated successive approximation technique. But successive approximation technique ADCs are unsuitable for high speed conversions. Flash converters are popular for high speed applications up to 8-bit resolutions, conversion resolution higher than 8- bits, flash architecture require large number of comparators, hence this architecture is not suitable for high resolution ADCs. In this case, however, this paper demonstrates that, effective combination of successive approximation and parallel quantization techniques have to be used for optimizing the number of comparator requirements while maintaining conversion speed. Such optimization is achieved through a systematic design process. A simple Analog-to-Digital conversion technique, which provides superior conversion speed to that of successive approximation converter, is presented. In this approach, the increased conversion speed is achieved by effective combination of parallel quantization and successive approximation techniques. An 12-bit flash quantizer uses 212-1 comparators, where as proposed architecture uses only 256 comparators. A successive approximation converter requires 12 comparisons for 12-bit quantization, while proposed technique converts an analog signal into 12-bit equivalent digital code in 12 comparisons. The technique uses less number of comparators while maintaining the speed. Therefore this architecture is best suitable when high speed combined with high resolution is required. Result of 12-bit prototype is presented.
Keyword: Analog to digital converter, digital to analog converter, flash ADC, Microprocessor, Successive approximation.
Keyword: Analog to digital converter, digital to analog converter, flash ADC, Microprocessor, Successive approximation.
Abstract
Study of low-cost Arduino Uno based system to determine the response and recovery times of humidity sensor
Thalari Chandrashekar, Y.T. Ravikiran*, Venkatesha Babu KR
DOI: 10.17148/IJIREEICE.2022.10238
Abstract: In this work, we have studied humidity sensor behaviours with a low cost experimental setup using Arduino UNO board. The proposed technique exploits sensing capability of the DTH22 sensor, to determine its response and recovery times. The D.C voltage of +5V is applied to the sensor and the output voltage is measured using Arduino UNO board with the help of buffer circuit. The sensor has shown response time of 8s and recovery time of 1s. This study emphasised that the DHT22 sensor is a better humidity sensor between 9-99% RH.
Keywords: Arduino uno, Embedded system, Sensor, IC 741 op-amp , DTH 22, recovery time and response time.
Keywords: Arduino uno, Embedded system, Sensor, IC 741 op-amp , DTH 22, recovery time and response time.
Abstract
Crop Recommendation using Machine Learning Techniques
Syed Suhaila S
DOI: 10.17148/IJIREEICE.2022.10239
Abstract: Agriculture is one of the most significant industries in India, forming the backbone of the nation’s economy and contributing substantially to its growth and development. It provides employment to millions and ensures food security for the population. India is renowned for its diverse production of agricultural crops, making it a global leader in the sector. Among the many factors that influence agricultural productivity, soil plays a pivotal role. Soil, being a non- renewable, dynamic natural resource, is essential for the cultivation of crops and sustains life on Earth. In earlier times, farmers relied heavily on their experience and traditional knowledge to decide which crops to cultivate. This experience- based approach enabled them to assess the suitability of crops for their land. However, with changing times, rapid urbanization, and technological advancements, farmers are increasingly unable to make precise decisions about crop selection based solely on soil characteristics and environmental factors. This gap has necessitated the development of a robust system to assist farmers in choosing the most appropriate crop for their land. To address this challenge, a crop recommendation system has been introduced, leveraging advanced machine learning algorithms. These algorithms analyze soil features, climatic conditions, and other attributes to provide tailored crop recommendations. Key algorithms used in the system include K-Nearest Neighbors (KNN), Decision Tree, Random Forest, Naive Bayes, and Gradient Boosting. Each of these algorithms plays a specific role in enhancing the accuracy and reliability of the recommendations. For instance, KNN identifies similarities with historical data to suggest the best crop, while Decision Trees and Random Forests provide logical classification and ensemble predictions. Naive Bayes offers probabilistic insights, and Gradient Boosting improves the system’s performance by minimizing errors iteratively. By incorporating such advanced machine learning techniques, the system empowers farmers with data-driven insights, ensuring better resource utilization, higher yields, and improved sustainability in agriculture. This approach not only enhances productivity but also contributes to the long-term health of the environment and the agricultural sector.
Keywords: Machine Learning, Crop Recommendation, KNN, Decision Tree, Naive Bayes, Random Forest, Gradient Boosting.
Keywords: Machine Learning, Crop Recommendation, KNN, Decision Tree, Naive Bayes, Random Forest, Gradient Boosting.