International Journal of Engineering and Management Research
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Analytical Modeling of Eco-Friendly Concrete Blocks from Construction and Demolition Waste using ANSYS
No full textThis research underscores the feasibility of repurposing C&D waste, particularly old concrete, for both new construction endeavors and revamping existing projects. This approach offers a dual advantage: preserving precious landfill space while curbing the extraction of raw materials for fresh construction initiatives. Focusing on the utilization of demolished waste as partial replacements for coarse aggregates sourced from C&D Waste Traders in Sirjala, Bengaluru, 10 mm sized recycled aggregates are employed.
Recognizing the porous nature of crushed aggregates owing to residual slurry, a meticulous treatment process is adopted. This includes two-stage treatment involving abrasion to eliminate residual loose slurry, followed by immersion in a fly ash solution with a concentration ratio of 1:6. Subsequently, these treated aggregates, after the curing process, are amalgamated with a robust geopolymer precursor in a mix ratio of 1:3:6 to fabricate 400X200X150 mm blocks.
To gauge the masonry behavior of these innovative concrete blocks, a battery of tests conforming to ASTM codes is meticulously conducted. These evaluations serve as a robust assessment of the structural integrity, durability, and performance characteristics of the blocks, providing critical insights into their potential for widespread adoption in construction practices. This comprehensive analysis contributes to the growing body of knowledge on sustainable construction materials and practices, advocating for a paradigm shift towards eco-friendly construction methodologies amidst the burgeoning challenges of waste management and resource scarcity
A Water Treatment Application for Model-based Decision Support System
No full textIt lays out some basic ideas for how model-based systems technology can be used in a decision support system for a drinking water treatment plant. The purpose of this system is to discover abnormalities in plant performance, pinpoint potential reasons, and suggest suitable corrective actions. A library of model fragments representing desired processes, disturbances, and potential interventions forms its foundation. As a way to solve the diagnostic problem, these fragments and the observations are used to automatically make possible models of how the damaged plant might behave. A potential therapy idea would be an extension of such a model by models of interventions such that the outcome is consistent with remedial goals. We go into greater detail on how the fundamental reasoning processes can be used to leverage the model and consistency-based problem solving
Impact of IOT on Different Business Sectors: Deep Analysis Trends after Pandemic
Get PDFThe internet of things helps Humans work smarter, as well as gain complete control over their lives. In addition to offering smart devices to automate homes, IoT is essential to various businesses. IoT makes provisions for businesses with a real-time look into how their systems really work, delivering insights to every business about the performance of machines from start to end of every operation. IoT gives assistance to businesses to automation and reduces labor costs. It also chops down waste and improves service delivery, making it economical to manufacture & supply goods and services, as well as offering clearness in customer transactions. IoT is the most important technology in modern life, and it will only gain popularity as more companies recognize the potential of linked devices to keep them focused and active. In the future what are all the changes that humans can expect through the Internet on things through various activities and also in various sectors can be described in this. The future of human life is living together with digital technology and IoT
Fabrication of Soccer and Cricket Ball Launching Machine
Get PDFThere are so many famous games in the world. In that, soccer and cricket are the two famous games played by a team of members. Now a day’s school/college/university doesn’t have sufficient trainers to train the students in respective sports like soccer and cricket. Even though they have trainers they don\u27t have sufficient time to train the individual students in specific field at a time.
For this reason our paper focus on introducing a launching machine known as soccer & cricket ball launching machine to train the goal keeper by himself in ground without help of a trainer or any other person So by using this machine we can give training to their students in respective field of sports like soccer and cricket. This machine throws the balls automatically at different suitable adjustable speeds. Launching of the ball in horizontal and vertical planes and in trajectory motions using aerodynamic and mechanical principals. This machine is useful in both games and also machine works efficiently in their practice.
While using this machine we can save the time for trainers because the balls are thrown automatically and also students who are using this machine do practice efficiently when compared to the trainer training the students. And also this single machine plays a major role for practicing in both soccer and cricket sports
Soldier Tracking and Health Monitoring System
Get PDFIn this day and age, fighting is a significant figure any country\u27s security. One of the significant and indispensable jobs is played by the military fighters. There are many worries with respect to the security of troopers. So for their security reason, many instruments are mounted on them to see their wellbeing status as well as their continuous area. Bio-sensor frameworks involve different sorts of little physiological sensors, transmission modules and handling capacities, and can along these lines work with minimal expense wearable unpretentious answers for wellbeing observing. This task provides a capacity to follow the area and screen soundness of the troopers continuously who become derailed and get presence in the war zone. It assists with limiting the time, search and salvage activity endeavours of armed force control unit. This framework empowers to armed force control unit to follow the area and screen soundness of troopers utilizing GPS module and remote body region sensor organizations (WBASNs), for example, temperature sensor, heart beat sensor, and so on. The information coming from sensors and GPS recipient will be communicated to the base station.
 
Perception Study of Consumers about Online Purchase through Digital Financing
Get PDFThis article aims to explore the relationship between digital finance and online buying, the benefits of online buying and the satisfaction of customers when they buy products online. The study is based on both primary and secondary data. The primary data was collected through structured questionnaire prepared using google forms and circulated among respondents through online whatsapp groups. The random sampling method is employed for the study. 114 respondents answered the questions and based upon their views analysis of the study has been made. The secondary data were collected from published reports, journals, conference proceedings and books to have clear knowledge of the concepts and previous studies made on online buying and digital finance and to find the gap. Through literature review it was observed that many researchers either focus only on digital finance or on online buying. But very few researchers made the study both on digital finance and online buying. So here in this study we tried to make a conceptual study of both online buying and digital finance and the perception of people about both of them. The findings of the study shows that digital finance makes it easier for the people to access financial services at anytime and from anywhere as these are available at their finger tip through their mobile phones. Many respondents are of the opinion that internet is the measure source to know about online buying of products and services and cheap data plans help to have access to internet. The study shows online buying is easier for people as it has many benefits to offer but the measure force is digital payments as it helps in making the cumbersome process of making payments for the purchases simple i.e at a click
Water Circulation Based Low Power Consumption Air Conditioner
Get PDFThis abstract introduces a novel air conditioning system that utilizes water circulation to achieve reduced power consumption. Traditional air conditioners consume significant amounts of energy, leading to high electricity bills and environmental concerns. In this system, water is utilized as a cooling medium instead of refrigerants, offering a more sustainable and energy-efficient approach. Normally water not used as refrigerant but we have used it because it can work for both as air conditioning as well as chiller. Water is second refrigerant mostly used for larger and more complex HVACR application .R134a (hydrocarbon) gas is used for heat transfer for home cooling. Preliminary tests of the water circulation achieved significant reductions in power consumption compared to traditional compressor-based air conditioners, while maintaining satisfactory cooling performance. This innovation holds great potential for improving energy efficiency and reducing environmental impact in the field of air conditioning, contributing to sustainable and eco-friendly cooling solutions. Water cooled chillers use water as a refrigerant instead of toxic chemicals which makes it safer and environment friendly
Novel Approach for Trust and Mobility for Secure Routing in IoT
Get PDFThe Internet of things (IoT) can be used in our daily life. Home area network (HAN) is one of the applications of loT. The Smart Grid is an intelligent power network featured by its two-way flows of electricity and information. The integrated communication infrastructure allows Smart Grid systems to manage the operation of all connected components to provide reliable and sustainable electricity supplies. The Home Area Network is a dedicated network connecting devices in the home, as well as electrical vehicles. The HAN market is now emerging within the smart grid sector to serve home with different solutions. However, at the same time, due to the dependence on information technology and the deep integration of electrical components and computing information in cyber space, the system might become increasingly vulnerable to cyber- attacks. Cyber-attacks have led to numerous incidents and have been concerned by both power system operators and users. They can undermine or even completely disrupt the control system of the power grid. This paper presents an approach to modelling and validating the secure HAN network. Here a novel Trust-Based Iterative Energy-Efficient Routing Protocol (TBIEERP) is suggested with a data encryption scheme for secured data transmission in HAN. The SHA-Secure Hashing algorithm for encryption and decryption of data is employed. Finally, to detect the intrusion a deep auto encoder was used for attack detection and to protect HAN against cyber-attacks. The whole experimentation was carried out under Ubuntu & NS2 environment. Thus, the techniques proposed produce the most promising outcome over attack detection. The proposed method obtained better detection accuracy compared to the existing methods
Smart Energy Management: A Futuristic Model For Power Monitoring and Control
Get PDFPower management in different domains such as residential, educational, and commercial areas is the need of the hour as the demand for energy is rising day by day which is reducing the fossil-fuel storage in the earth\u27s crust as most of the percent of power we are using is made up by burning fossil fuels. Therefore power management is very much important. In this study, an integrated two-stage model is proposed to address the challenges associated with power management, namely (i) power usage monitoring, and (ii) power control for energy conservation. The model is designed such that it will provide a comprehensive solution to optimize power usage. The model is created such that in the first stage the model identifies the time frame during which power consumption is at its peak (up-time) and the time frame when power consumption is minimal (low-time) in laboratories. Further, we have to calculate the approximate percentage of power that we need to allow to the laboratory (characterized as allowed power) during low time as a percentage of total input power. Subsequently, this information serves as input for the second stage of the model, which shuts down the power supply in low time, till the allowed power is reached. It allows the full power supply in uptime
Automatic Detection of Fake Profiles in Online Social Network using Soft Computing
Get PDFThe proliferation of social media platforms and online communities has led to an increase in the creation and utilization of fake profiles for various deceptive purposes. Detecting these fake profiles is crucial to maintaining the integrity, security, and trustworthiness of online platforms. This abstract provides an overview of the techniques and challenges involved in automatically detecting fake profiles.
The detection of fake profiles poses a significant challenge due to the ever-evolving strategies employed by malicious actors. However, researchers and platform developers have devised several techniques to tackle this problem. Profile completeness analysis examines the information provided by users, such as profile pictures, connections, and consistency of details. Sparse or inconsistent data may raise suspicions of a fake profile. Image analysis involves reverse image searching and analyzing metadata to identify instances of profile picture misuse or manipulation.
Linguistic analysis focuses on analyzing the language used in profile descriptions, posts, and comments. Patterns such as poor grammar, spelling mistakes, or generic content may indicate automated or fraudulent account activity. Social network analysis studies the network structure and connections between accounts, identifying clusters of suspicious profiles with similar connections. Behavioral analysis techniques aim to identify abnormal or bot-like behavior exhibited by fake profiles, such as excessive friend requests, repetitive posting patterns, or spamming.
Machine learning models have emerged as powerful tools for fake profile detection. These models are trained on historical data, learning patterns and features associated with fake profiles. They can then classify new profiles based on these learned characteristics. CAPTCHA or verification tests provide an additional layer of security by deterring automated bot account creation.
Despite the progress made, detecting fake profiles remains a challenge. Adversarial actors continuously adapt their strategies, making it difficult to stay ahead. The privacy concerns and ethical implications surrounding the collection and analysis of user data also present challenges. Additionally, false positives and negatives are common in automated detection, requiring continuous refinement and improvement of detection techniques