Paper Title

ASSESSING THE SUITABILITY OF GROUNDWATER AT JHABUA DISTRICT, MADHYA PRADESH, FOR HUMAN CONSUMPTION IN TERMS OF CHEMICAL PURITY

Abstract

The publication describes chemical quality delineation of ground water suitable for human applicators in Jhabua district, Madhya Pradesh, India for various uses. The major goal is to examine ground water quality in the research region and determine its appropriateness for drinking and domestic use. Chemical analysis was used to determine ground water quality for human use. Piper trilinear graphic shows ground water quality and appropriateness. This research assessed ground water quality in the study region and determined its suitable for residential and drinking use. When comparable ground water samples plot together, it displays their similarities and differences. Ground water meets Bureau of Indian Standards and World Health Organization guidelines for drinking and residential use.
KEYWORDS : Chemical Guality Evaluation, Jhabua district, Madhya Pradesh

Paper Title

AN OVERVIEW OF THE CATALYTIC PROCESS AND ITS ROLE IN ENVIRONMENTAL CHEMISTRY

Abstract

Green or sustainable chemistry involves creating chemical products and methods that reduce or eliminate harmful chemicals. Sustainable chemistry is green chemistry. The chemical industry uses only environmentally friendly chemicals and procedures. It uses twelve principles to make molecules, materials, reactions, and processes that are safer for humans and the environment. This article shows how \"Green Chemistry\" might lessen environmental damage from chemical processes and technology. This research seeks to understand how catalysts contribute to green chemical synthesis for a more sustainable future. Catalysis is vital for ecologically responsible creation of new and old compounds. Catalyzed processes need less energy and produce fewer by-products, co-products, and waste products, indicating increased efficiency. Catalysts may be made without harming the environment. The chemical industry uses a variety of catalysts.
KEYWORDS : Green Chemistry, Ionic Liquids, Critical Fluids, Microwave Irradiation, Biomass, Biocatalysis, Photocatalysis

Paper Title

DESIGNING & OPTIMIZATION OF CRYOGENIC PLATE-FIN HEAT EXCHANGER PERFORMANCE BY USING MACHINE LEARNING

Abstract

The demand for the efficient transfer of heat from one material to another in HEs has increased over the past one to two decades. A compact heat exchanger is one of the types of heat exchangers that has a high surface area relative to the unit’s volume, resulting in better efficiency than normal heat exchangers. Therefore, one of the types of compact heat exchangers, the cryogenic plate-fin heat exchanger is used in this study. In this research, it is very important to overcome the erosion of material in the heat exchanger and also for the flow misdistribution, which affects the performance of the heat exchanger in the transient regime. Thus, this research’s objective is to overcome the above-mentioned problems. The cryogenic plate-fin heat exchanger is numerically studied with the boundary conditions, steady-state, initial conditions, transient state, and data reduction techniques for the heat transfer enhancement of the heat exchanger using two fluids of water and the various coolants and the optimization technique of Quantum PSO with the neural network of Radial Basis Function is implemented to optimize the temperature value to get the accurate values. . The experimental performance of the heat exchanger using the water and the different coolants with 10% and 12% capacity at different temperatures of 60°C and 80°C are noted. Additionally, the analytical model and the optimization model of the heat exchanger with the water and various coolants are executed in the forms of tabulation to resultant the hot and cold outlet temperatures and the graphical representation which is correlated with the experimental performance with the values determined. The optimization model results in better prediction values of outlet temperature. Hence the analytical model, optimization model and experimentations are developed for flow transient, it is capable of predicting the performance of the plate-fin heat exchangers satisfactorily, under the given conditions of changed flow rates.
KEYWORDS : Cryogenic plate-fin heat exchanger; Performance; Optimization; Machine Learning.

Paper Title

SOLAR POWERED AUTO IRRIGATION SYSTEM

Abstract

Agriculture plays a vital role in the Indian economy, over 70 percent of the rural households depend on agriculture, agriculture is one manually from ages,as the world is trending into new technologies and implementations it is a necessary goal to trend up with agriculture also, we have proposed a smart agriculture monitoring and prediction of crop based on sensors, they are capable of providing information about agriculture fields, also we will be using pre trained Ai model is used to predict crop. This smart agriculture using system is powered by Microcontroller, it consists of temperature sensor, moisture sensor and humidity sensor, when the agriculture monitoring system starts and it checks the temperature, humidity and moisture level, meanwhile the collected sensor data is applied to model which will predict the crop, this all is displayed on the LCD display module. In recent days, the world’s population is presumed around 7.3 billion and will be expected to grow to 2.0 billion in the next 40 years, hitting at 9.5 to 10.0 billion by 2050. Global population growth has affected food shortfall and the high water requirement problem; it is a worldwide scale. With the world’s population increasing, farmers need to upturn food production, minimize water use and make rational use of natural resources while protecting the environment. Moreover, traditional farming techniques do not allow them to do it. The emergence of improvements in the agricultural sector as the notion of precision agriculture stands up to the rising food requirements of the world’s population. It leans on the practice of more selective resources like water, seeds, fertilizers, and other necessary things to equate productivity with environmental interests. Precision agriculture is collected field information and technology in agricultural processing systems by affording precision methods to attain optimum and sustainable profits improving their abilities to adapt to the environments around them. Precision, crop quality, over the agriculture domain and the quality of the crops and reduce negative environmental impacts on the agriculture sector.
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Paper Title

VEHICLE THEFT DETECTION AND ENGINE LOCKING SYSTEM USING ARDUINO

Abstract

Nowadays, As vehicle based transportation is significant in today life for all emergency, societal, household applications we need to provide a solution for safety of the vehicle by an antitheft detection system and engine lock system. This system includes both the technologies (GPS) and (GSM) which increase the security rate by providing information and location about the vehicle. After finding alert notification, owner sends back a message to GSM which is again interact with ARDUINO to deactivate the system. A vehicle theft detection and engine locking system using ARDUINO can helps the user to identify the vehicle in theft mode and enables the controlling mechanism. All the factors make it cost effective and efficient anti theft vehicle system.The idea and scope of the project work is to emerge and to acquire a good understanding of the rapidly evolving field of Tele communications network and mobile phones using GSM technology. Generally, everybody knows that the mobile is used for personal communications, but very few people know that same mobile phones can also be used for many other applications. In this regard, here the GSM technology is used to enhance the vehicle safety. To prove the concept practically, a GSM modem with a service number is essential. The GSM module must be installed in the vehicle itself, it should not be used for other applications. The main function this modem is to transmit a message to the authorized mobile number when the vehicle is started by unauthorized person. The GSM modem which is supposed to be installed in the vehicle and the electronic circuit along with its peripherals, which is interfaced with this modem, the entire system must be arranged in the vehicle in a secret place.
KEYWORDS :

Paper Title

AN ANALYSIS OF KEY AGGREGATE CRYPTOSYSTEMS FOR SCALABLE CLOUD DATA SHARING

Abstract

Technology for cloud computing is extensively employed so that data may be quickly accessible on the cloud and outsourced. Although the data is only present on one physical system, multiple members may share it via many virtual machines. However, the user has no direct physical access to the data that has been outsourced. Users must be able to safely exchange data. To ensure that user data is neither lost or leaked, authentication between the cloud service provider and the user is required. It\'s crucial to protect user privacy in the cloud to prevent identity disclosure. Only chosen material may be shared, but everyone on the cloud can share data as much as they want to. Data sharing may be done safely thanks to cryptography. User then uploads encrypted data to server. For various types of data, multiple encryption and decryption keys are created. For certain sets of data, multiple encryption and decryption keys may be required. Only the shared set of decryption keys allows for the decryption of the chosen data. Here, a public-key cryptosystem produces ciphertext that has a fixed size. so that the decryption keys for various ciphertexts may be sent. The distinction is that one may assemble a collection of hidden keys and reduce them to the size of a single key while still possessing all of the properties of the keys that make up the group. This little aggregate key may be transmitted to people easily or kept on a smart card with a minimal amount of safe storage.
KEYWORDS : Cloud storage, Attribute base encryption, Identity base encryption, Cloud storage, data sharing, key- aggregate encryption.

Paper Title

A REVIEW OF ARTIFICIAL INTELLIGENCE TECHNIQUES USED WITH RENEWABLE ENERGY SYSTEMS

Abstract

Renewable energy is gaining popularity as a reliable alternative energy source since it is safer and healthier than conventional energy and has made a significant contribution in this field. To keep up with this quickly developing technology, there are still a number of areas that need development. AI technology can assess the past, enhance the present, and forecast the future. AI will thus resolve the bulk of these problems. Although AI is complex, it decreases inaccuracy and strives for greater precision, making energies smarter. This article provides an overview of frequently used artificial intelligence (AI) approaches in applications using renewable energy sources. AI is used in almost every kind of energy (wind, solar, geothermal, hydro, oceanic, bio, hydrogen, and hybrid) for design, optimization, prediction, administration, transmission, and control. The goal of this research is to highlight the AI methods used in the renewable energy sector across this aspect.
KEYWORDS : Artificial intelligence • Renewable energy • Solar energy

Paper Title

STUDY ON VOLUMETRIC ANALYSIS OF ORGANIC COMPOUNDS USING MODIFIED CARBON PASTE

Abstract

Volumetric analysis is used to measure medication concentrations in samples. It\'s used in organic chemistry to measure a sample\'s organic component concentration. Modified carbon paste electrodes improve voltammetry analysis of several compounds. This study used modified carbon paste electrodes for volumetric analysis of organic compounds. A carbon paste-organic chemical solution mixture was used to make the modified carbon paste electrode. The electrode performed volumetric analysis after applying the mixture. The approach determined the concentration of several chemical substances. Results showed that the altered carbon paste electrode was suitable for volumetric analysis of organic compounds.
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Paper Title

AN OVERVIEW OF DEEP LEARNING FOR OBJECT DETECTION

Abstract

Theoretical, academic, and practical applications of computer vision continue to heavily rely on object detection. The main source of inspiration for conventional object identification methods was machine learning. This entailed creating features to describe the properties of the item, then integrating those features with classifiers. Deep learning applications, and more especially Convolutional Neural Networks, have generated significant innovation and hopeful results in recent years, and as a result, have attracted a lot of interest on the international arena of computer vision research. This article surveys some of the most significant and recent advancements and contributions made to the field of deep learning\'s application to object identification. Furthermore, as amply shown, the results of multiple research point to the fact that deep learning applications in object recognition much outperform traditional methods that center on manually created and taught features.
KEYWORDS : Deep learning; Object detection; Convolutional neural networks; Machine learning

Paper Title

A REVIEW OF THE PUBLISHED RESEARCH CONCERNING THE GENETIC ALGORITHM

Abstract

A technique known as a genetic algorithm is used to estimate computer models using techniques that have been adopted from the biological area of genetics. \'\'Genes\'\' are potential model behaviors that have been encoded in order to employ this approach. After every generation, the present models are evaluated for fitness and given the go-ahead to mate and produce offspring. Gene exchange, crossovers, and mutations may take place during mating. The existing population is eliminated, and the descendants make up the next generation. We shall discuss a variety of issues that may be resolved using a genetic algorithm technique in this article.
KEYWORDS : Genetic Algorithm, Crossover operators, Mutation Operators

Paper Title

EMERGING TRENDS IN WIRELESS COMMUNICATION TECHNOLOGIES

Abstract

Technology wise the Wireless communication field is evergreen it is being consistently growing new technology keeps on coming. Li-fi (It is a technology for wireless communication between devices using light to transmit data and position) and 5G are the recent trends in wireless communication. This study showcases all the recent trends and their advantages. In this regard, wireless local area networks (WLANs) have a major role to play in indoor spaces, from supporting explosive growth in high-bandwidth applications to massive sensor arrays with diverse network requirements. Sixth-generation technology is expected to have a super convergence of networks, including WLANs, to support this growth in applications in multiple dimensions. To this end, this study comprehensively reviews the latest developments in diverse WLAN technologies, including WiFi, visible light communication, and optical wireless communication networks, as well as their technical capabilities. First, we give an introduction on the current wireless communication systems. Thereafter, these techniques are presented and some results concerning the possible integration in future wireless systems are discussed. The analyses presented in the paper provide insight into the research opportunities that need to be investigated to overcome the challenges in integrating WLANs in a 6G ecosystem.
KEYWORDS : Li-fi, wireless local area networks, communication networks, WiFi, wireless systems, 6G ecosystem, WLAN technologies, technical capabilities.