Rising water scarcity has become a major global issue confronting humanity due to various factors such as the rapid increase in the population, the alternating climate, the migration to cities, and the bad management of water resources which all have environmental and socio-economic impacts of different severity. Smart water monitoring systems are among the recent technologies that have made it possible to collect data in real-time, but the solutions that have been developed so far mostly concentrate on the detection and analysis aspect of the problem and provide very little to knowledge dissemination, community involvement, and informed decision-making. To overcome these shortcomings, this article proposes a central knowledge sharing platform for smart water scarcity management integrated with machine learning, GIS drought visualization, and community collaboration. The suggested system gives domain experts and users the chance to collaborate, get access to and retrieve the unified digital interface consisting of the quality of water conservation strategies, educational materials, and multimedia resources. K-Means clustering is used to analyze spatial and drought data to classify the areas according to their drought intensity, while GIS-based mapping offers easy-to-understand visualization to facilitate planning and intervention that are appropriate and specific. To achieve high analytical precision and system productivity, data preprocessing techniques are utilized including cleaning, normalization, and feature reduction. Also, a content-based recommendation mechanism facilitates the dissemination of water-saving techniques that are specific to the location and aware of the context thereby maximizing user engagement and practical adoption. The experimental evaluation shows that drought classification is accurate, system reliability is high, and responsiveness is enhanced. To sum up, the proposed framework not only leads to sustainable water use but also raises public consciousness, and supports through a data-driven approach decision-making which makes it appropriate.
To enhance a process, it is necessary to reduce to a minimum the non-value adding activities involved in the process. Lean is a philosophy that aims at minimizing the non-value adding activities. The application of Lean thinking to all processes involved in the process or supply chain leads to what can be referred to as Lean Supply Chain. Different scholars have classified the various supply chain activities, while different lean tools have been employed to improve these processes. In this work, efforts will be made to review some of the works on this topic through structured content analysis. It will be seen that Lean contributes to several advantages in the supply chain such as reduced cost, high-quality, fast deliveries, and increased flexibility. The majority of the articles examined herein comprise case studies. Nevertheless, it appears that there is inadequate use of mathematical/statistical approaches. The manufacturing supply chain enjoys numerous researches, and thus, why it receives considerable attention than the services sector, whose case is just the opposite. Normally, the supply chain concentrates on the suppliers and manufacturers and overlooks the customers and distributors, an aspect that has not received sufficient attention. It follows that if each of the links of the chain receive proper attention, substantial improvements could be attained. The main objective of this research is to review the basics of Lean Supply Chain Management with regards to farming activities.
In today’s fast-changing world, it is very important for students to understand how the global economy works. This is especially true for students at Kutch University, where local issues are often connected to international trends. This study focuses on how major global economic factors— like inflation, unemployment, GDP growth and new technology—affect students’ future plans, career choices, and education paths. To explore this, the study used surveys and interviews with students from different departments, along with information from international financial reports and websites. The findings show that many students are not fully aware of these important economic issues. Also, the current academic curriculum does not provide enough support to help students understand them. This shows the need to improve economic education in colleges and universities. Economics is not just about money and markets. It is a useful tool that helps people and societies plan for the future. This study explains how learning economics can help students deal with real-life problems like climate change, limited resources, inequality, and fast-growing technology. By studying current research and analyzing data, the study shows that economic knowledge helps in making smart and sustainable decisions. In the end, the study gives simple and useful suggestions—such as improving the curriculum, encouraging learning from other subjects and adding ethics to economics education. These steps can help students become thoughtful, responsible, and future-ready decision-makers.
Aluminium alloys' high ratio of strength to weight and excellent fracture toughness have led to a sharp increase in their application in the aerospace and military sectors during the last several decades. It is necessary to conduct a thorough examination of the mechanical behaviour of aluminium alloys at elevated temperature and strain rate in order to forecast how structural elements will react to various severe loading scenarios, such as crashes and impacts. The impact of the process factors on the measurement of thermal-mechanical characteristics of aluminium alloys is crucial for the effective production of aluminium alloy panel components during hot forming. This research fully studied the thermal-mechanical characteristics of 7475 aluminium alloy sheets over hot forming circumstances. The investigation included conducting a variety of iso-thermal uniaxial tensile experiments at various temperatures and strain rates using an isothermal mechanical simulator i.e., Gleeble 3500. The split Hopkinson tensile bar (SHTB), the high velocity testing system, and the electronic universal testing machine were used in order to conduct test of dynamic tensile strength performed on the aluminium alloy 7475. These tests were conducted in order to assess the dynamic mechanical behaviours of the alloy at different strain rates. These stress–strain curves were collected at a variety of different speeds. The findings signify that the strain rate, hardening impact of the aluminium alloy 7475 contributes significantly to the overall impact. Through the modification of the strain rate hardening term inside the Johnson–Cook constitutive model of the 7475 aluminium alloy was successfully generated.
Education is today mostly supported and primarily restricted by authoritative specialists or non-benefit organisations. The current situation has evolved slowly and is now disregarded to the point where limited clear thought is any longer out written to the factors behind the specific treatment of education even in nations that are generally free in affiliation and thinking. As a result, the increase in regulatory responsibility has been erratic. The employment assigned to government in a certain area is obviously subject to the norms considered for the overall association of society. As a result, this text examines the Indian education system, as the Indian education sector gives a significant chance for the Indian populace to become literate. Additional difficulties in the public and private sectors were also considered. The future of India's educational system was also examined.
In India, higher education is the key to economic security and opportunity, especially for women. Women are a significant component of the financial framework, and they maintain an assortment of social and conventional convictions. They should be treated equally as men and they should get equal rights. Knowledge is a distinctive feature of human beings, with a huge capacity to learn and convey knowledge from one generation to the next, and it is becoming more prominent as science and technology improve. Worry for girls schooling has brought about a critical expansion in grade school access lately. In any case, numerous young ladies, especially in provincial locales, drop out prior to finishing auxiliary or higher school. This review explains how the Indian government has executed strategies and cycles pointed toward bringing issues to light of advanced education, perceiving sex equality, and helping the number of women joining up with higher education. Further Many women have their dreams that they should study higher but due to many reasons, they will kill their dreams. They should be prepared to tackle a world of opportunities and challenges through higher education.
The old billing software’s used in supermarkets, will have a lot of manual work and they don’t have the capacity to produce reports needed. The Billing software designed can generate a lot number of reports needed and there is no need of manual work. This billing software is a web application, it can store a lot of records in the database and the bar code scanner are also available. It’s a user-friendly software which can be used for both wholesale and Retail. It has an unlimited storage and application can be used in both online and offline. Reports for billing can be generated by data wise or price wise.
For the transesterification of biodiesel from Azolla oil, the safe and successful use of feed stocks is a very significant prerequisite. It is of high importance to determine the optimal reaction parameters to maximize the yield of low-cost biodiesel generated from Azolla oil. Ultrasonic energy was used in this work for the development of biodiesel from Azolla oil catalyzed by the KOH catalyst under different conditions. The effect on the transesterification of Azolla Oil to biodiesel of four reaction parameters, namely the methanol/Azolla oil molar ratio (A), KOH catalyst concentration (B), reaction time (C) and reaction temperature (D) were considered. In order to optimize the effects of reaction parameters for the transesterification of Azolla oil to biodiesel, response surface methodology (RSM) based on central composite rotatable design (CCRD) is applied. To obtain a good correlation between the input reaction parameters and the output response parameter (FAME yield) from Azolla oil to biodiesel, an artificial neural network (ANN) model with two feed-forward back-propagation neural-network architecture Multilayer Perceptron Network (MLP) and Radial Basis Function Network (RBFN) was developed. With the experimental information obtained from the RSM model, the built ANN models were trained and evaluated. Absolute Average Deviation (AAD), Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE) and coefficient of determination were statistically compared with the predictive capacity of both RSM and ANN models (R2). The statistical analysis showed that the measured FAME yield from both the RSM and ANN models was able to predict the FAME yield, and the findings limited the ANN model to the much more reliable FAME yield prediction compared to the RSM model.
As technology increases rapidly in a far better way, there is a need for automation in every field for better future. The growth in construction field in our country has seen extreme levels over the decade. So, to improve further, we need to reduce the manual work. A sand sieving machine has the function to sieve sand and stone that is mixed together. It gives sand with different grade at higher efficiency than manual work. Using machine mechanism driven by electricity power, we can reduce the time to sieve.
The main objective of this project is to connect the vehicles together and avoid accidents by using V2V Communication. The vehicles are to be connected together by means of DSRC algorithm which is used for transceiving alert messages among the connected vehicles, in case of any emergency situation such as accidents. The Vehicle-to-Vehicle (V2V) and Vehicle-to- Infrastructure (V2I) technologies are specific cases of IoT and key enablers for Intelligent Transportation Systems (ITS). V2V and V2I have been widely used to solve different problems associated with transportation in cities, in which the most important is traffic congestion. A high percentage of congestion is usually presented by the inappropriate use of resources in vehicular infrastructure. In addition, the integration of traffic congestion in decision making for vehicular traffic is a challenge due to its high dynamic behaviour. An increase in the infrastructure growth is a possible solution but turns out to be costly in terms of both time and effort. Various applications that target transport efficiency could make use of the vast information collected by vehicles: safety, traffic management, pollution monitoring, tourist information, etc.
