MODEL-BASED CLOUD GENERATION: A NOVEL APPROACH FOR SECURING CLOUD ENVIRONMENTS

One major security risk in cloud computing settings is authorization. Its goal is to control user access to system resources. The implementation of security standards is difficult and error-prone due to the abundance of resources connected with REST APIs, which are common in cloud computing environments.In this research, we suggest an implementation of security cloud monitor to mitigate this issue. To express the functional and security requirements, we use a model-driven approach. Cloud monitors are then created using the models. Contracts that are used to automatically verify implementation are contained in the cloud monitors. We implement cloud monitor using the Django web framework, and we validate our solution using OpenStack

Smart pavements

Smart pavements represent an innovative evolution in infrastructure technology, integrating advanced materials, sensors, and communication systems to enhance road performance, safety, and environmental sustainability. These pavements can monitor traffic patterns, weather conditions, and structural integrity in real-time, providing valuable data to optimize maintenance and improve safety for road users. Additionally, they contribute to energy efficiency by harnessing solar energy or managing stormwater. Smart pavements can revolutionize urban planning and transportation systems by enabling dynamic responses to environmental conditions and user needs, ultimately leading to more sustainable, adaptive, and safer road networks

HIGH-RISE BUILDING DESIGN INNOVATIONS

High-rise buildings play a vital role in modern urban development by addressing space and population challenges. Recent innovations focus on sustainability, efficiency, and resilience. Smart materials, adaptive facades, and aerodynamic designs improve energy use, occupant comfort, and structural stability. Technologies like AI and computer modeling streamline design and construction processes. Renewable energy systems, green roofs, and vertical gardens reduce environmental impact and promote urban biodiversity. These advancements are transforming high-rises into eco-friendly and future-ready structures, helping cities tackle climate change and urbanization challenges

EXPERIMENTAL STUDY ON GEOPOLYMER CONCRETE USING LOW- CALCIUM FLY ASH

Geopolymer concrete is gaining recognition as an eco-friendly alternative to traditional Portland cement concrete due to its low carbon footprint, utilization of industrial byproducts, and potential for high performance in construction applications. One of the key materials in geopolymer concrete is fly ash, a fine powder residue produced during the combustion of coal in power plants. Fly ash can be categorized into two types based on its chemical composition: high-calcium (Class C) and low-calcium (Class F). The study begins with the preparation of geopolymer concrete mixes using low-calcium fly ash as the sole source of alumino-silicate material. A mix design is developed where low-calcium fly ash is activated with an alkaline solution of sodium hydroxide (NaOH) and sodium silicate (Na₂SiO₃), which facilitates the formation of a geopolymeric binder. The study examines various mix proportions to optimize the strength and workability of the concrete. Key parameters such as the molar concentration of the alkaline solution, the ratio of sodium silicate to sodium hydroxide, and the curing conditions are varied to determine their influence on the final properties of the geopolymer concrete. After rigorous study the results. obtained are: Compressive strength test results are 18.25 MPa after 7 days of curing and 26.72 MPa after 28 days of curing, water absorption test results are 1.8% for 7 days and 1.5% for 28 days, after conducting workability test (Compaction factor test) based on test results Geopolymer concrete falls under the "good workability "categor

UTILIZATION OF DOLO-CHAR IN ROAD CONSTRUCTION

The increasing demand for sustainable and cost-effective road construction materials has led to the exploration of industrial byproducts as viable alternatives to conventional aggregates and binders. One such material gaining attention is Dolo-char, a byproduct of sponge iron production. Traditionally considered waste, Dolo-char has the potential to be repurposed in road construction, offering economic and environmental benefits. Roads experience significant wear and tear due to traffic loads, weather conditions, and material degradation, necessitating durable and resilient materials. The incorporation of Dolo-char into road construction materials presents an innovative solution, reducing dependence on natural resources while addressing waste management challenges.Dolo-char primarily consists of carbon, iron oxides, and residual lime, which can enhance the performance of asphalt and concrete mixtures. When processed and incorporated into bituminous or cementitious road materials, Dolo-char can improve mechanical properties such as compressive strength, rutting resistance, and durability. Studies have shown that blending Dolo-char with traditional aggregates can enhance load-bearing capacity, making roads more resistant to deformation and fatigue-related failures. Additionally, the porous nature of Dolo-char can contribute to improved drainage properties in road layers, reducing water accumulation and minimizing the risk of pothole formation.When used as a partial replacement for fine aggregates or fillers in asphalt and concrete mixtures, Dolo-char has demonstrated positive effects on the thermal stability and aging resistance of road materials. Research indicates that incorporating Dolo-char in bituminous mixes can enhance Marshall stability and reduce susceptibility to temperature variations, leading to longer-lasting road surfaces. Moreover, its pozzolanic activity can contribute to better bonding in cementitious applications, potentially improving the structural integrity of pavement layers.The economic benefits of Dolo-char utilization in road construction are also noteworthy. As an industrial byproduct, Dolo-char is readily available at minimal cost, reducing the financial burden associated with raw material procurement. By diverting this waste from landfills, infrastructure projects can contribute to circular economy initiatives and promote sustainable construction practices. Furthermore, the environmental impact of Dolo-char usage is significant, as it mitigates the extraction of natural aggregates, reduces carbon emissions from waste disposal, and supports resource conservation.Despite its advantages, challenges such as variability in composition, potential leaching concerns, and optimization of mix designs must be addressed to maximize the effectiveness of Dolo-char in road construction. Ongoing research and field trials are crucial to establishing standardized guidelines for its incorporation into pavement systems. By leveraging Dolo-char as a sustainable alternative in road construction, the industry can move towards more eco-friendly and cost-efficient infrastructure solutions, aligning with global efforts to enhance resource utilization and environmental sustainability

A STUDY ON WORKING CAPITAL MANAGEMENT OF CHAITANYA CHEMICALS LIMITED, KADAPA

Working capital management is essential to a company’s goals working capital management operational effectiveness and financial stability. Chaitanya chemicals working capital management producers are the main subject of this study, which examines how well the business handles its current assets and liabilities to preserve liquidity and profitability. In order to determine how they affect the company’s financial wealth. The study looks at important element like cash flow, account payable, account receviable and inventory management. The cash conversion cycle is also examined in the study , as its effectiveness in preserving the ideal ratios of short term assets to liabilities. This study attempts to determine areas where working capital management at chaitanya chemicals needs to be improved using financial analysis.This working capital management is important for financial management

THE EFFECTS OF AI ON Agricultural Quality Management Systems — An Examination of Shanghai SQ Agrotech Co., Ltd.

As an extensive management concept, Total Quality Management (TQM) stresses the need of all organizational members actively working to improve the quality of goods and services via continuous process improvement. Originally implemented in China\u27s industrial sector, Total Quality Management (TQM) has now spread across many other industries, most notably agriculture. Precision agriculture, smart agriculture, and green agriculture have all found new life in China\u27s agricultural enterprises thanks to TQM and the incredible advances and widespread uses of technologies like 5G, big data, satellite remote sensing, and Artificial Intelligence (AI). These innovations have been supported by government policies in China. As a result, new possibilities and obstacles have arisen for the implementation and development of TQM in farming. In this study, we will focus on the behavioral and awareness aspects of the five-factor quality management model that is based on total quality management theory: characteristic quality, tool quality, system quality, behavioral quality, and awareness quality.This study uses a questionnaire survey and interviews with Shanghai SQ Agricultural Technology Company\u27s management and staff to investigate how AI is changing the quality of awareness and behavior in agricultural enterprises, as well as to identify the main challenges and potential solutions that AI faces when applied to quality management in these sectors.These terms are related to the following: agricultural enterprises, five-dimensional quality management framework, total quality management, artificial intelligence (AI)

PEANUT CROP PEST DETECTION AND CLASSIFICATION USING MACHINE LEARNING, CONVOLUTIONAL FUZZY LOGIC, AND EVITA

Image recognition and classification have both benefited greatly from the fast development of Vision Transformer (ViT) techniques. Specifically for the purpose of identifying, segmenting, and classifying pests, this study presents an Enhanced Vision Transformer Architecture (EViTA). With EViTA, we want to increase the accuracy of pest image prediction by capitalising on ViT\u27s advantages over CNNs. Among the preprocessing methods used in this approach are Moth Flame Optimisation (MFO) for normalising and flattening images, and a dual-layer transformer encoder for integrating pest picture segments of different sizes. The effectiveness of EViTA has been shown by extensive studies that used three insect datasets that impact peanut crops. The findings are encouraging. Research into supplementary methods, including as DenseNet, InceptionV3, and Xception TL models, also points to avenues for accuracy gains above 94%. Also, by using the Flask framework, it is possible to create an authentication-ready testing front end that is easy for users to navigate. EViTA introduces a new way of looking for pests, which might greatly improve farming and pest control. The potential for EViTA to perform better on pest detection tasks might be enhanced with further study and optimisation

OFFSHORE WIND FARMS IN CIVIL ENGINEERING

Offshore wind farms are large-scale projects designed to harness wind energy over oceans and seas for sustainable electricity generation. These farms offer higher energy yields due to stronger and more consistent wind patterns compared to onshore locations. Civil engineering plays a pivotal role in their development, encompassing site selection, foundation design, turbine installation, and electrical infrastructure. Key components include wind turbines, subsea cables, offshore substations, and various foundation types such as monopiles, jacket foundations, and floating platforms. The project lifecycle involves feasibility studies, design, construction, operation, maintenance, and eventual decommissioning. Challenges such as harsh marine conditions, logistical complexities, and high initial costs are mitigated through innovations like corrosion-resistant materials, modular construction, and floating wind technology. With advancements in digital tools and larger turbines, offshore wind farms are poised to become a cornerstone of the global renewable energy transition, contributing significantly to decarbonization and energy security.Keywords: ,, ,, , , Foundation design, Floating platforms, Environmental impact, Energy transition

A STUDY ON PERFORMANCE APPRAISAL IN DALMIA CEMENT

Performance appraisal in which the organization is making judgement about one is working with and about oneself. It serves as a basis element of effective work performancePerformance appraisal is essential for the effective management and evaluation staff. It aims to improve the organizational performance as well as individual development. To complete the project used primary data and secondary data. Calculating the opinions of employees by using percentage analysis and graphical method. Most of the employees given response that they are being appraised their performance by using annual appraisal report and self-appraisal report