Volume 11 | Issue 4 |

 Abstract

The goal this work is to create and test a behavior-based lawn mower robot controller that is capable of autonomously cutting grass on playgrounds and lawns. The "sense-act" strategy is used by the controller to operate autonomously in a dynamic, unstructured, and unfamiliar environment. The Motor Schema architecture is used to implement the controller, which uses the cooperative coordination method and continuous response encoding for behaviour coordination. A collection of behaviours that are running simultaneously carry out the mowing procedure. Obstacles are found and avoided using sonar ranging. Shaft and visual odometry are combined with the Global Positioning System (GPS) for local positioning, while GPS is used for global positioning.. Optocouple sensors and a camera are used to identify a grassy area.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Arduino UNO,L239D Motor Driver Shield, UV Sensor, Grass cutter.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Forest fires, wildfires, and bushfires are a worldwide environmental issue that do significant damage each year. The most important components in fighting forest fires are early discovery of the fire, flame or smoke occurrence, appropriate categorization of the fire, and quick reaction from fire agencies. In this paper, we developed an automatic early warning system that incorporates multiple sensors and a cutting-edge deep learning algorithm that has a low number of false positives and provides good accuracy in real-time data at the lowest possible cost to our drone in order to monitor forest fires as early as possible and report them to the appropriate authorities. Forest fires are a major environmental and public safety concern, causing significant damage to natural habitats, wildlife, and human communities. Early detection of forest fires is critical to preventing their spread and minimizing their impact. In recent years, deep learning algorithms like YOLO (You Only Look Once) have shown great promise for object detection tasks, including the detection of forest fires. YOLO is a real-time object detection algorithm that can process image and video data quickly and accurately. In this project, we propose a YOLO-based system for forest fire detection. We first train the YOLO algorithm on a dataset of annotated images of forest fires, allowing it to learn to detect the unique visual features of fires, such as smoke, flames, and heat. Next, we implement the trained algorithm on a camera-based system that continuously monitors forested areas for signs of fire. When the algorithm detects a potential fire, it generates an alert to notify authorities, allowing them to respond quickly and prevent the spread of the fire. We evaluate the performance of our system using a dataset of real-world images of forest fires and show that it achieves high accuracy and fast detection times, making it a promising tool for forest fire detection and prevention.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

CAMERA, YOLO ALGORITHM, NODEMCU

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study investigates the significant concerns related to work-life balance (WLB), with a specific emphasis on behaviours among employees of Service Industries who frequently travel for business trips (BT). Work-life balance is piquing the interest of both academics and Executives. This is a topic that almost everyone with a professional career is interested in. This huge interest is due, in part, to its reflection on all aspects of life. Those who feel that the fundamental purpose of life is to work make their job the centre of their existence. The study reviews the general literature, followed by studies on work-life balance in service industries. This study has the potential to help working individuals reconsider their position on work-life balance, as well as executives learn new perspectives on how to deal with such a situation. The research sample included 73 people. The data was analysed using the Chi-Square and Pearson Correlation tests. According to the survey, Service Industries that provide flexible working hours, job sharing and job clarity, solid leadership, and a choice of leave opportunities for their employees are more likely to retain their staff and have a healthy Work-Life Balance (WLB).

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Key Words: work-life balance, Stress/burnout, Flexible working hours, Work-Family conflict, Health issues.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In India, reservations have always been based on social and educational backwardness and not on economic backwardness. Through 103rd Constitutional Amendment, 2019, reservation was introduced for economically weaker section which raised a serious debate regarding the constitutional validity of reservation brought by the 103rd Constitutional Amendment, 2019. This paper critically examines whether the breach of 50% Reservation Cap violates the basic structure of the Indian Constitution. The author also analyses if reservation can be based solely on economic criteria and if the 103rd amendment violated the equality code. The author also sheds light on the assenting and dissenting decision in the case of Janhit Abhyan v. Union of India 2022, to understand the stance of Indian Judiciary regarding the constitutional validity of the 103rd Amendment. Finally, the paper concludes that reservation is not the only way to eradicate poverty and help the downtrodden, and it argues that by breaching the reservation cap, rights of the merit candidates will be affected.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Reservation, Economically weaker, Constitutional validity, Equality Code, Janhit Abhiyan Case

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

IoT devices have become increasingly prevalent in our homes, and with that comes the need for efficient and accurate classification of these devices for various reasons such as security, network management, and resource allocation. Traditional methods of device identification using IP addresses and MAC addresses may not be reliable, as devices can have dynamic IP addresses, and MAC addresses can be easily spoofed. The proposed research aims to use machine learning algorithms to analyze the network traffic generated by various smart home IoT devices to develop a classification system based on patterns in the network traffic. This would involve collecting and analyzing network traffic data from a range of different devices and using supervised learning algorithms to train a model to accurately classify them. The success of this project could have important implications for the future of smart home technology, improving the security, network management, and overall user experience of these devices.This Internet of Things allows things to be sensed and controlled remotely through existing network infrastructure, allowing for much more direct integration of the physical world into computer-based systems and resulting in increased efficiency, accuracy, and economic advantage. In our study, we incorporated a solar-powered system to achieve home automation. The goal of this project is to use IOT to automate home automation while integrating a solar-powered energy system. Integration of sensing systems linked to the Internet is likely to optimize overall energy use. It is anticipated that IoT devices will be integrated into all types of energy consuming equipment (switches, power outlets, lamps, televisions, and so on) and will be able to interact within utility supply companies in order to properly balance energy generation and energy demand.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords-- Internet of things, Arduino Uno,Relay

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The IoT based Smart Poultry Farm is a revolutionary approach to the traditional method of poultry farming. This system uses advanced technology to monitor and control various aspects of the farm, such as temperature, humidity, lighting, feeding, and watering systems. The IoT sensors and devices are connected to a central platform, which allows real-time monitoring and control of the farm's environment. The system ensures that the poultry farm's conditions are optimal for the birds' health and well-being, leading to increased productivity and profitability. The farmers can remotely monitor the farm's conditions and receive alerts in case of any abnormal changes, enabling timely action to be taken. This IoT-based system also incorporates machine learning algorithms that analyze the data collected from the sensors to provide actionable insights for the farmers. These insights enable the farmers to make informed decisions regarding the farm's management, including the optimal time to harvest the birds.The bulk of poultry farms in India, particularly broiler farms, rely on human monitoring and management. The chicken poultry sector is critical to our country's long-term food supply. The invention of an automatic chicken feeding equipment might be extremely beneficial to the poultry industry's growth. Temperature, fan, moisture, heater, food and water distribution are the major criteria in chicken production. These variables have a significant impact on broiler output. This study presents an IoT-based monitoring system for chicken farms, as well as tools to regulate such parameters. The bulk of poultry farms in India, particularly broiler farms, are manually monitored and controlled. The suggested system will be beneficial to the user. IOT is an innovative technology for poultry farming which can be changes a traditional farm into modern automated poultry farm. Various environmental parameters have been continuously monitored to improve health and growth of the chicken. The Proposed system can be applicable in Poultry Farm and agriculture sector. In poultry farm , it is use to feed the food in container, maintain the temperature using water sprinkler, remove the gas using soil mixture and in Agriculture it is use to Preparation of soil , Spraying to plants, Fertilizer to plants. Through this proposed system it will be helpful to the user.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: ARDUINOUNO,SENSORS,IOT,FOODBOX

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Lakes can provide water by collecting precipitation naturally in a valley or other catchment area, storing it in the lake's reservoir, or directing it to another reservoir. The yearly rainfall and evaporation pattern, the current usage and runoff coefficient of the catchment region, water demand, as well as the geology and geography of the catchment area and building site, are all significant factors in lake development. An electronics-based technology uses motors to regulate movement by measuring the water level and estimating the pace of inflow into lakes. It will then store in the water tank. Extra water will drain into the sea after this operation. The IOT web server will get all parameters.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Internet of things, microcontroller, Electronic tags.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Because to its accessibility and all-around user friendliness, ATMs have grown quite popular with the general people. ATMs may now be located in a lot of places with frequent or heavy customer activity. As an illustration, ATMs are generally located in a variety of settings, including restaurants, supermarkets, convenience shops, malls, schools, petrol stations, hotels, work sites, banking centres, airports, entertainment venues, and transit facilities. Consumers often have access to ATMs on a continuous basis, allowing them to conduct banking operations and/or financial transactions at any hour of the day or any day of the week. This proposal relies on face recognition technology as well as a tiered security mechanism to execute the overall concept.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Automatic Teller Machine, fingerprint, processing power, GSM

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The self-drive automobile rental market has grown in a nation like India because of recent advancements in technology and the internet. As transportation is the lifeblood of the working man and a conduit for so many organizations, institutions, and people. Everyone appreciates a good mode of transportation, and the self-drive automobile rental sector works to provide one on a global scale. Our primary goals in conducting this study were to understand consumer preferences and to examine the self-drive automobile rental market's current state on the Indian market. We have a variety of goals to work towards as we analyze the self-drive automobile rental market. We performed a poll of 100 people to reach our final goal, which was to learn about consumer preferences on which self-drive automobile rental firm they prefer. We were able to understand the current state of the self-drive rental automobile market in India through this analysis and poll, as well as how consumers felt about the businesses in the market.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Self-Drive Rental Cars, Rental Market, Organization, Analysis, Customer Preference, and Policies

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Attendance management is on essential process in educational institutions and organizations ensuring that students or employees attend classes or meetings regularly. Traditionally, attendance. management was done. manually. which was a tedious and time-consuming task. However, with the advent of technology model attendance management systems have been developed, utilizing 1oT-based smart attendance tracking systems. This paper presents an IOT-based smart attendance racking system that utilizes fingerprint, RFID technology. Nodemcu. Arduino Uno, and an own server to automate the attendance process "The system is designed to increase efficiency, reduce errors, and save time by eliminating the need for manual attendance tracking. The fingerprint and RFID technology are wed to authenticate the identity of the student or employee. while the Nodemcu and Arduino Uno are responsible for sending attendance data 10 the own server.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Smart Attendance, IoT, RFID, GSM, Arduino

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Creative Commons Attribution 4.0 and The Open Definition