Abstract: This article presents the "Smart Traffic Light Control System using Arduino Mega" design. These systems manage traffic flow at intersections, aiming for smooth vehicle movement. However, synchronizing multiple traffic lights at adjacent junctions is complex because of a number of variables. Conventional systems struggle with fluctuating traffic flows and lack consideration for emergencies, pedestrian crossings, and accidents. This often leads to congestion and traffic jams. The suggested method resolves these problems by integrating advanced control mechanisms to adjust traffic signals dynamically, enhancing overall traffic management efficiency and safety

Abstract: A Research in Autonomous Agricultural Vehicle Technology is presented. With the coming of the Smart Farming Revolution the development of more complicated machines has begun. Agricultural machines are made with the capability of driving themselves, using GPS maps and electronic sensors, an approach that will lead to the development of futuristic Precise Autonomous Farming Systems. The basic issues to be addressed are autonomous path planning, obstacle detection and avoidance for which various sensors will be employed such as GPS, laser-based sensors, ultrasonic sensors, IMU sensors and Camera sensors whose data has to be constantly monitored using Dead Reckoning algorithm and constant Pose Estimation. In these sensors, Camera, Ultrasonic, Laser-Based Sensors are used as Detection sensors while the IMU and GPS sensors are used as Localization sensors. Global Avoidance Subsystem which examines the whole environment of an autonomous vehicle mission-level path planner that pre-plans paths around all known obstacles. While Local Avoidance Subsystem/Reactive planner consists of an obstacle filter and an obstacle avoidance algorithm and re-plans a short way for the vehicle to navigate. With the ROS framework and all sensors data, a vehicle can guide itself through an unknown environment. This will help the farmer to undercut the labour shortage and improve the precision in farming which in turn improves the output to meet the growing demands

Abstract: Traffic congestion is a major threat to transportation sector in every urban city around the world. This causes many adverse effects like, heavy fuel consumption, increased waiting time, pollution, etc. and causes major challenge to the movement of emergency vehicles. The reaction time required by the emergency responders plays a vital role to handle the situation. The greatest challenge they face is congestion of traffic flow. This paper presents an approach to schedule emergency vehicles in traffic. The approach combines the controlling of traffic congestion by IR sensors and detection of emergency vehicle using by RFID scanner method. The IR sensors is responsible for vehicle counting and RFID for the emergency vehicle. An IR sensors continuously count the passing vehicles & records the delay time between two vehicles. Flow of vehicles is normal means there is smooth traffic flow, or if in case, the passing time between two vehicles is decreased that means traffic congestion is happen ahead. In this situation traffic light turns to green, so that the emergency vehicle will reach its destination as fast as possible. The aim of this article is to identify and monitor the congestion system in order to provide efficient facilities. This journal also sets out a method that uses 433 MHZ RF Transmitter and receiver Wireless communication device technique and Internet of Things (IoT) to transmit the treatment request from the ambulance to the nearby hospitals and at the same time the LCD is installed on the road junction which displays the nearby hospital name and contact number for the ambulance, this smart traffic system which in turn changes the traffic signal cycle. This system can be implemented throughout the city thereby to reducing the delay.

Abstract: Women hold a significant and esteemed status in Indian society. The Vedas revered women as "DEVI" goddesses, extolling their qualities as mothers, creators, and givers of life. However, their exaltation was a little imaginary, since women in our patriarchal society in India were completely suppressed and subordinated at the same time. Because society insisted on holding fast to traditional ideas, Indian women across the nation continued to be subjugated and oppressed. This was the case for domestic as well as public, physical, emotional, and mental abuse. This Research analyse the reports and articles on crime against women in detail. The United States and its territories' National Crime Records Bureau (NCRB) Report-2020 has been examined

Abstract: The relationship between Time Perspective (TP), Psychological Capital (PsyCap), and Work Performance (WP) among employees in diverse private and service sector organizations was looked into. A quantitative cross-sectional approach was adopted, with 214 participants meticulously selected through purposive sampling. Advanced statistical tools in SPSS, such as Spearman's rho and linear regression, were utilized to rigorously examine the relationships and influences between TP, PsyCap, and WP. The findings of this study challenged traditional notions by rejecting two null hypotheses, thereby uncovering significant correlations and impacts among the variables under investigation. Notably, the research underscored the pivotal role of specific TP dimensions, particularly Past Positive and Future orientations, in shaping PsyCap's influence on WP. This nuanced understanding sheds light on the multifaceted nature of employee behaviour and performance within organizational contexts, highlighting the need for tailored interventions and strategies to enhance employee well-being and productivity.

Abstract: Steganography entails concealing text-based mystery records within non-textual content documents together with picture, audio, or video documents, with the extraction of the hidden records taking area at its vacation spot. This avoids detection. Steganography is a flexible and effective method hired to hide sensitive statistics inside apparently harmless cover media. This task pursuits to discover the sector of steganography, check out its diverse methods, and increase a realistic stenographic utility for securing digital information.

Abstract: Big Data encompasses vast amounts of data, reaching exabytes or even zettabytes. In the current landscape, large databases play a crucial role, particularly in generating substantial data for daily analyses of social media and multimedia content. The enormity of Big Data poses challenges, given its extensive volume of structured, semi-structured, and unstructured data, making traditional database systems and software techniques insufficient. Big Data is frequently defined by its 9 V’s: velocity, variety, volume, veracity, validity, variability, volatility, visualization, and value. This complexity highlights the need for a simple information management strategy that integrates various new data types alongside traditional data. The significance of Big Data databases is emphasized by the daily generation of millions of terabytes of data from sources like social media posts and multimedia. This study aims to evaluate the performance of two Wide-Column Store Big Data database systems, Apache CassandraDB and ScyllaDB, using the CassandraStress Benchmarking Tool. Key metrics such as total operation time, operation rate, partition rate, row rate, and maximum latency will be assessed as the number of records and operations increase. The development of these databases, motivated by diverse industry requirements, emphasizes their adaptation to specific needs. The research methodology outlines the tool used to compare these WideColumn Store databases on various parameters, contributing valuable insights into their performance in real-world scenarios

Abstract: In the financial services sector, financial technology, or Fintech, has become a disruptive force, especially when it comes to expanding financial inclusion. In order to comprehend the degree of acceptance, the effect on financial inclusion, and the difficulties encountered, this paper presents a study on the penetration of Fintech services in rural Karnataka, India. The study uses a mixed-methods approach to collect data from important stakeholders, non-users, and Fintech users. The methods include surveys, interviews, and case studies.