IJAITE- International Journal of Advanced Innovative Technology in Engineering

e-ISSN: 2455-6491 | Published by Global Advanced Research Publication House (GARPH)

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Archives of International Journal of Advanced Innovative Technology in Engineering(IJAITE)

Volume 7 Issue 2 March 2022

1. Sentiment Analysis Using Machine Learning Technique

AUTHOR NAME : Swati Ganeshrao Dhoke, Prof. R. A. Kale, Prof. P. P. Deshmukh

ABSTRACT : Various machine learning algorithms for sentiment analysis are discussed in this study. Machine learning classifiers such as Naive Bayes, Decision Tree, Random Forest, Support Vector Machine, KNN, and deep learning classifiers were used to analyze sentiment. We notice some articles in this section that are assisting young investigators in determining the best path for further study. Various social networking sites, Ecommerce sites like Amazon and social media like Facebook, Twitter, Instagram is popular platforms for users to express their views on many topics. Sentiment analysis employs a machine learning approach and provides a precise assessment of peoples feelings without the need for human intervention. The Sentiment analysis divides the text into three categories: positive, negative, and neutral. As a result, any corporation, institution, an examiner can accept the public view and take action based on it.

2. A Review on: Plant Leaf Disease Detection & Classification

AUTHOR NAME : Ketaki A. Kadu, Prof. M.S. Burange

ABSTRACT : An expected 70% of the Indian economy relies upon agribusiness. Since there is developing Indian population, which is increasingly dependent on the agricultural yield, generation of the harvests must be improved. The end goal is kept in mind to develop progressively the diseases need to be examined in earlier. Diseases are investigated utilizing different image processing techniques the image processing is the technique which process the digital information stored in the form of images. The plant disease detection is the technique which detects disease from the input images. The plant disease detection consists of three steps: initially the image that is fed to input terminal is preprocessed, thereafter features of the image is analyzed according to their features segmentation is applied and in the last step image is classified using any of the classifier. In this paper, various techniques of plant disease detection are reviewed and discussed in terms of various parameters

3. Early Detection of Skin Cancer Using Machine Learning

AUTHOR NAME : Aafreen Akhtari, Abhishek Raibole, Chetan Badge, Kaustubh Wankhede, Sahbaz Khan, Sadia Patka

ABSTRACT : Nowadays we are facing many kinds of diseases and in which melanoma cancer is the most dangerous one. It has made lakhs of deaths people and it can happen to anyone. And this is drastically increasing due to a lack of knowledge on the symptom and prevention. Therefore, it has become very necessary to detect it at a premature stage. and again, this skin cancer is divided into various types of melanomas which is very harmful, Basal cell carcinoma, and Squamous cell carcinoma. The project is all about the detection of skin cancer using machine learning. In the pre-processing stage, we are considering a dermoscopic image as input, the razor is used to remove unwanted hairs from the image. Gaussian filter is used for smoothening images since the color is also an important feature in analyzing the type of cancer k means clustering is performed in the segmentation phase. The statistical and texture feature extraction is implemented using Asymmetry, Border, Color, Diameter, (ABCD), and Gray Level Co-occurrence Matrix (GLCM). The experimental analysis is done on the dataset and the classification purpose, Support Vector Machine (SVM) was implemented and the accuracy obtained is good and we have used the KNN algorithm also for classification purposes.

4. Industrial Energy and Statistics Analysis System

AUTHOR NAME : Sadia Patka, Danishathar Sheikh, Falguni Gour, Maheen Firdaous Qazi, Manali Dudhakawre, Nikita Chikhale, Tushar Manwatkar

ABSTRACT : These days it’s a challenge to an aspect of saving energy and its continuous modification in communication technology in order to satisfy all consumer demand. Nowadays customers demand accurate energy measurement, timely data, and good consumer services. The best solution is a smart grid system that possesses various communication technologies which can be cost-effective and an electrical section to have a bi-directional communication in which information about electrical energy consumption is shared between the two consumers as well as by utility for remote checking. It describes monitoring and analysis of energy consumption with Arduino Uno board and Ethernet using IoT (Internet of Things) concept. The proposed design eliminates human inclusion in the conservation of energy or electricity. The consumer can access the information about the consumption of energy by using IP addresses on their mobile devices. The web client code is uploaded for checking the client’s information such as content, location, connection, and disconnection to the webserver. The proposed system gives reliable and accurate information regarding electrical energy management systems (EMS) through the help of the Internet of things (IoT).

5. Smart Waste Classification & Management System

AUTHOR NAME : Prof. Pradip Balbudhe, Monika P. Burle, Utkarsha V. Kanchanwar,Vaishnavi W. Falke, Kalyani R. Raghuwanshi, Rita B. Bansod

ABSTRACT : Smart Waste Classification and Management System which is proposed to implement a smarter way of conventional waste management using smart sensors to gather data, as well as a citizen reporting system, garbage around the dustbin and stinking condition from containers and garbage bins, and send it to servers in real-time. An authorized phone number that is present in Waste Management Centres gathers fill-level and other information sent from multiple containers which are situated throughout the area. The whole data can be used to systematically plan a route map to collect garbage/waste. The information from bins to the authorized number is sent using location and SMS. The entire operation is controlled using an esp32 microcontroller. This report showcases a potential design for an IoT gateway that can be used to provide a framework for a smart waste management system.

6. Vehicles Density Based Traffic Control and Ambulance Detection using RFID reader & IR Sensors

AUTHOR NAME : Vivekanand Thakare, Damini R. Singh, Abhishek Kumar, Sonam J. P. Sharma, Rushikesh P. Sonekar, Prajwal R. Badwe,

ABSTRACT : The traffic management system is the future of a smart city. In the current problems of the world, urban life is one of the major problems, especially in metropolitan cities. Previous traffic management systems are not capable enough to overcome this growth of traffic on the road networks.[3] The purpose of this paper is to propose a smart traffic management system using deep learning and a decentralized approach to optimize traffic on the roads and intelligent algorithms to manage all traffic situations more accurately. [4] The system takes vehicles’ density in traffic as input through an IR sensor which is an object identifying technique and sensors data, resultantly giving an output of several vehicles in signals management. An algorithm in IR sensor is used to predict the vehicle density in traffic for the future to reduce traffic congestion. Besides this, RFID Reader is also used to prioritize emergency vehicles like ambulances, police vehicles, etc. by implementing RFID Reader in such emergency vehicles. [12] In the case of any complex emergencies, such as fire explosion or burning of something in traffic, fire and smoke sensors are also used on the road which is used to detect such situations.

7. Smart Shopping Cart Using RFID Card

AUTHOR NAME : Prof. Vivekanand Thakare, Pallavi Kedar , Rushabh Selokar, Hrushikesh Sherekar,Trupti Nakhate, Rajani Rathor

ABSTRACT : Modern technology has increased the standard of living for humans. This resulted in large crowds at shopping malls. To handle large crowds at the shopping mall we proposed a system at will overcome this issue. In proposed system includes the shopping trolley that makes shopping activity easy and fast. The queue at the billing counter is a time-consuming process and it’s wasted time in our system proposed system in such a way that it reduces the payment time of the customer. We used RFID in our system to scan the product at the time of selection and will generate a bill automatically at the shopping counter at the time of payment we pay the bill which is Not a time-consuming process. In such a way the number of cells will increase and it has helped in it has the economy of the country.

8. Soldier Health and Position Tracking System Using IoT

AUTHOR NAME : Pradip Balbudhe Arti Patle, Sujata Rahangdale, Farhina Sheikh, Nilima Katre, Shabahat Khan

ABSTRACT : The paper reports an Internet of Things (IoT) based health monitoring and tracking system for soldiers. The proposed system can be mounted on the soldiers body to track their health status and current location using GPS. In todays world, warfare is an important factor in any nations security. One of the important and vital roles is played by the army soldiers. Concerning the safety of the soldiers, many instruments are mounted on them to view their health status as well as their real-time location. Bio probes system contains different types of biosensors, transmission systems, and processing capabilities, and can thus facilitate low-cost wearable unobtrusive solutions for health monitoring. The proposed system uses GPS to track the direction of the soldier in the form of latitude and longitude values. So that direction can be found easily. These devices are being added to weapons and clothes. The data coming from sensors and GPS receivers will be transmitted to the control room through IoT. With the use of the proposed equipment, it is possible to implement a low-cost mechanism to protect valuable human life on the battlefield. Designing this system using GPS and IOT gives a wireless system for tracking the location of the soldier and observing the pulse rate and body temperature of the soldier.

9. Smart Parking System

AUTHOR NAME : Prof. Vivekanand Thakare, Sarang V. Gujar, Tejas Dighe, Ninad Saoji, Vaibhav Tiwari, Harshal Hiwarkar, Komal Mahulkar

ABSTRACT : The project entitled Smart Parking System” presents an IoT-based smart parking system that provides an optimal solution for the parking problem in metropolitan cities. This project is a trial to automate major processes of manual Car Parking Systems including availability checking of a car through sensor signal output. This technique is meant for Multiple Dwelling Units, offices, colleges, Malls, Cinema theatres, Airports, train depots, and plenty more where there is a requirement for a systematic parking reservation of vehicles. In India administrators, users, and government authorities face many difficulties due to the lack of a proper car parking system. In this project, solutions have been provided to the problems encountered during parking a vehicle at commercial parking lots. This problem has been resolved using Smart Parking System. This Parking Reservation System is an access control and automatic Reservation system that gives an ID-based parking slot system using a web-based application.

10. Real-Time Driver Drowsiness Detection and Alert System

AUTHOR NAME : Madhuri Omprakash Dasariya, Anshul Premchand Dahiwale, Shrikant Chaitram Waghmare, Himanshu Raju Moon, Prof. Pradip O. Balbudhe

ABSTRACT : The development of technologies for preventing drowsiness at the wheel is a major challenge in the field of accident-avoidance systems. Driver fatigue resulting from sleep deprivation or sleep disorders is an important factor in the increasing number of accidents on todays roads. In proposed system method for detecting drowsiness will be implemented with the help of a web camera facing toward the drivers face for video capturing. Once the video is captured, monitor the face region and eyes in order to detect drowsy/fatigue. The system is able to monitor the eyes and determines whether the eyes are in an open position or closed state. In such a case when drowsy is detected, a warning signal is issued to alert the driver. The purpose of this project is to advance a system to detect fatigue symptoms in drivers and produce timely warnings that could prevent accidents. This report presents an approach for the real-time detection of driver fatigue.

11. Real-Time Night Vision Drowsiness Detection Using Machine Learning

AUTHOR NAME : Dr. Prof. M. S. Khatib Samiksha Bagde , Diksha Jawade, Pratik Dongre, Bushra Khan, Divya Kawale

ABSTRACT : The risks involved in nighttime driving include drowsy drivers and dangerous vehicles. Prominent among the more dangerous vehicles around at night are the larger vehicles which are usually moving faster at night on a highway. In addition, the risk level of driving around larger vehicles rises significantly when the drivers attention becomes distracted, even for a short period of time. For the purpose of alerting the driver and elevating his or her safety, this paper proposes two components for any modern vision-based Advanced Drivers Assistance System (ADAS). These two components work separately for the single purpose of alerting the driver in dangerous situations. The purpose of the first component is to ascertain that the driver would be in a sufficiently wakeful state to receive and process warnings; this is the driver drowsiness detection component. The driver drowsiness detection component uses infrared images of the driver to analyze his eyes movements using an MSR plus a simple heuristic. This component issue alerts the driver when the driver’s eyes show distraction and are closed for a longer than usual duration.

12. Cyberbullying Detection System using Machine Learning in English

AUTHOR NAME : Gulnaz Sheikh, Himanshi Aglawe, Jagdeep Singh Arora, Mohammad Tauheed Raza Patel, Ossama Ansari, 6Ruchik Ganvir, Prof. Sadia Patka

13. Review on Security Threats of Cloud Environment

AUTHOR NAME : Shruti A. Jari, Dr. R. R. Keole, Prof. T. R. Mahore

ABSTRACT : Recently, data can be safely shared or stored using the infrastructure of cloud computing in various fields. However, issues such as data security and privacy affect cloud environments. Thus, a variety of security technologies are required, one of them is security technology using CP-ABE. Research into the CP-ABE scheme is currently ongoing, but the existing CP-ABE schemes can pose security threats and are inefficient. In terms of security, the CP-ABE approach should be secure against user collusion attacks and masquerade attacks. In addition, in a dynamic cloud environment where users are frequently added or removed, they must eliminate user access when they leave, and so users will not be able to access the cloud after removal. A user who has left should not be able to access the cloud with the existing attributes, and secret key that had been granted. In addition, the existing CP-ABE scheme increases the size of the ciphertext according to the number of attributes specified by the data owner. This leads to inefficient use of cloud storage space and increases the number of operations carried out by the user, which becomes excessive when the number of attributes is large. The main emphasis of this paper is on the recent research carried out in the field of Cyber Security in a Cloud environment.

14. A Survey on Wireless Sensor Networks, Challenges, And Application

AUTHOR NAME : Ms. Namrata Daga, Prof. Dr. S. M. Deshmukh, Dr. N. P. Dhole

ABSTRACT : Wireless sensor networks (WSNs) consist of several sensor nodes that may be deployed in relatively harsh and complex environments. Regarding cost, sensor nodes always adopt relatively cheap chips, which make these nodes error-prone in the course of their operation. Various natural factors, as well as electromagnetic interference, could also influence the performance of the WSNs. When sensor nodes become faulty, they may die which means they cannot send data to other members in the wireless network, or they may be alive but gives incorrect data or they may be unstable jumping between the normal state and faulty state. Many studies have focused on fault diagnosis to improve the quality of data, shorten response time, strengthen network security, and prolong network lifespan. This paper presented the study on wireless sensor networks with challenges and their application.

15. Review on Association Rule Mining Techniques

AUTHOR NAME : Vitthal M. Kharmate, Dr R. R. Tuteja

16. Intelligent Maximum Power Tracking and Inverter Hysteresis Current Control of Grid-Connected PV Systems

AUTHOR NAME : Bhagwati Rajendra Sarode, Prof. Diksha Khare, Prof. Yogesh Likhar

ABSTRACT : This paper proposes a maximum power point tracking scheme using neural networks for a grid-connected photovoltaic system. The system is composed of a photovoltaic array, a boost converter, a three-phase inverter, and a grid. The neural network proposed can predict the required terminal voltage of the array in order to obtain maximum power. The duty cycle is calculated and the boost converter switches are controlled. The hysteresis current technique is applied to the three-phase inverter so that the output voltage of the converter remains constant at any required set point. The complete system is simulated using MATLAB/SIMULINK software under sudden weather conditions changes. Results show the accurate and fast response of the converter and inverter control and which leads to fast maximum power point tracking.

17. Network Performance Tool for Firewall IDS/IPS

AUTHOR NAME : Sneha Deepakrao Chobitkar, Rajle Govinda Harishchandra, Arvind Nain, Sandeep Baliram Ukey, Anuradha Anant Bhat, Mr. Bishwa Rajan Ghosh

ABSTRACT : This paper configured a system that is used for testing the performance of firewall IDS /IPS. Firewall IDS (Intrusion Detection System)/IPS (Intrusion Prevention System) are used for protecting the Network and preventing the network from Intrusions. We are Generating traffic for different link speeds and testing the performance of the network where Firewall IDS and IPS are implemented. We are using the open-source tool Ostinato for packet crafting and traffic generation towards the network which performance to measure. In the network, for IDS/IPS. we used open-source IDS/IPS that is snort and for the firewall we used iptables, iptables is an inbuilt software firewall in Linux based operating system. For testing, there is one system configured for packet crafting and generation where Ostinato is configured and another system that is to be tested for performance, both the system connected with isolated LAN cable CAT 5e that have 100Mbps speed have two 100Mbps Ethernet cards. So generated packets are analyzed by a snort and at the end, by snort, we get how many packets analysis and how many are dropped.

18. Web-Based Alumini Management System

AUTHOR NAME : Purva N. Bisne, Komal K. Kelvade, Upasana C. Dhongle, Vaishnavi N. Khandate, Harshda D. Pawar, Prof. Mohammad Sajid

ABSTRACT : Alumini is a web-based portal for providing a common platform for an institute. All advanced education establishments need to make a relationship with their graduated class. So, the main aim to develop this web-based application is that it going to be possible for the former students of the college to keep in touch with each other and that will substitute the manual system of the alumini with an automated one. This allows students to know about each other and their current status. Graduated class and understudy can impart just through the administrators consent. This application will have the option to oversee the graduated class information of a school and give simple access to the equivalent. The main aim of the paper is to build interaction between alumini, admin, and the students; a system that will be able to manage alumini data of a college and provide easy access to the same. The alumini will also be interested to maintain relations with their institutions. Alumini can communicate with the students regarding job opportunities and the students can share the department technology activities with the alumini. The alumini and the student can communicate only through admin permission. A system that will be able to manage alumini data of a college and provide easy access to the system.

19. Study on Highways and Their Maintenance

AUTHOR NAME : Dr. Sachin S. Saraf, Kajal Suresh Chaudhari, Prof. Ashish R. Bijwe

ABSTRACT : The maintenance of roads involves the coordination of a wide range of seemingly unrelated activities. In practice to achieve a good standard of effective maintenance it is essential that different aspects of the work should integrate smoothly. The task facing the Engineer in Road Maintenance is to maintain a network of roads within available budgets. This is made difficult by the amounts of roads which are built to inadequate standards and the increase in both the volumes of traffic and in the axle loadings combined with decreasing budgets and the expectation of further cuts in public expenditure. This is noticeable both in rural areas where the intensification and diversification of agricultural production have resulted in minor roads of minimal pavement construction having to accommodate relatively large volumes of traffic and more particularly commercial vehicles which on occasion can barely fit onto the road and in urban areas where the growth of towns and cities has incorporated areas serviced by minor roads now carrying heavy volumes of traffic. Of these, the majority of National Primary and some national Secondary roads have been realigned to modern design standards.