Published: 2025-01-23
METAVERSE IN DIGITAL ARCHITECTURE AND CONSTRUCTION ECOLOGY: A SHIFT IN SUSTAINABLE ENGINEERING PARADIGM
Sakshi Gahlawat1* , Pooja Chaudhary2 (Author) 1-12
Abstract:
Currently, knowledge of possibilities and techniques for incorporating Immersive Technologies (ImTs) into building process workflows is fragmented and limited, given the novelty of ImTs connected to Digital Twin (DT), Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) in the setting of the metaverse and its swift and ongoing advancement in Building Information Modelling (BIM). As an outcome, the objective of this research is to investigate the patterns and advancements in immersive technology-driven BIM applications research, offering a useful resource for comprehending the state of the art and inspiring more investigation. The architecture, engineering, and construction (AEC) industry is difficult to digitise because of major obstacles to technology adoption. The study intends to advance the AEC sector’s awareness of digital technologies in order to encourage technology adoption.
Published: 2025-02-20
A REVOLUTION IS A STRUGGLE FOR BRINGING SOCIAL MILLENNUIM: A STUDY OF AGHORISM THROUGH HOLYSMOKE IT'S A GODMAN
Nirmal Biswas (Author) 13-34
Published: 2025-04-10
PROXIMITY-BASED AUTONOMOUS NAVIGATION AND TRANSPORTATION ROBOTIC SYSTEM
Uttarala Vamsi1*, Dr. G. Chandrasekhar2, Lakshmi Narayana. G3, P. Lohita4, M. Hima Raja sekhar5, P. Rajith Kumar6, S. Jagadeesh7, P. Yaswanth8(Author) 35-44
Abstract:
The creation of a completely autonomous and dependable mobile robot for collaboration continues to be a major area of academic interest as human–robot collaboration becomes more common in real-world applications. Collision-free navigation is one of the most important problems in this field, especially in unstructured settings with moving objectives and unknown obstacles. In order to allow a robot to autonomously navigate toward a moving target human while avoiding obstacles, this article introduces a cognitive robotic system (CRS). In order to guarantee obstacle avoidance and successful target tracking, the CRS’s cognitive agent which is based on the Soar cognitive architecture evaluates the robot’s current circumstances and decides what to do. Furthermore, a speed planning module creates appropriate linear and angular velocities to regulate the robot’s motors using the dynamic window approach. A differential drive wheel robot outfitted with a colour depth camera and two ultra-wide band (UWB) sensors is used as the experimental platform for implementation. Experiments are carried out in a scenario where the robot follows a human user along a corridor while avoiding successive unknown objects and negotiating turns in order to assess. For patients with lower extremity impairment, it is especially crucial to support and oversee extended walking sessions in order to restore their independence during rehabilitation. Nevertheless, long-term manual help is sometimes impracticable due to a lack of caregivers and excessive nursing costs. To solve this, we suggest a walking-assistance robot that resembles a cane and is made to follow a human user, guaranteeing security and oversight during rehabilitation training. The robot adheres to a predetermined rule, keeping a particular relative posture to the user positioned a specified distance in front, 15–20 cm lateral to the healthy side, and aligned with the user’s orientation inspired by clinical advice and user feedback. A quantitative approach to walking intention estimation is presented, using a Kalman filter and an inbuilt laser range finder to guarantee accurate human following. To improve the cane robot’s human-following capabilities, a finite-time control technique is also used. Experimental findings confirm the efficacy of the suggested approach, showing that it can sustain acceptable human-following performance for a variety of users and walking styles.
Published: 2025-04-23
GSM-BASED PREPAID ELECTRICITY ENERGY METER USING ARDUINO WITH AUTOMATIC BILLING AND LOAD CONTROL
B. Hemanth Kumar1*, B. Purnima2, B. Meenakshi3, D. Jahnavi4, G. Anupama5, K. Karthik6, K. Prabhavathi7, Dr. N. V. A. Ravikumar8(Author) 45-53
Abstract:
The development is to an advanced metering system that will regulate better electricity consumption. In this paper, GSM Based Prepaid Electricity Energy Meter using Arduino with Automatic Billing and Load Control is presented. With the proposed system, the consumer is able to monitor and control their electricity use in real time and the utility is to maintain timely billing. The meter is integrated with a prepaid recharge system, where the user can reinvest on his/her account through SMS. The system alerts the user that the charge is low using a buzzer if the charge is low. In addition, the system has load control functionality which enables users to switch the power ON or OFF through SMS so as to minimize electric loads effectively. Also, a request message sent to the system will help you to get load status and consumption details. GSM technology is integrated to communicate the user and the meter for a smooth data transfer and real time exchange. Manually reading through meters is minimized, errors are reduced in billing, and a consumer-friendly solution is provided. The proposed system is designed, implemented and the results explored in the research to demonstrate the effectiveness of the system in energy management and encouraging sustainable electricity usage. The paper also specifies existing research gaps and discusses ways to improve energy monitoring systems.