AIJREAS VOLUME 8, ISSUE 3 (2023, MARCH) (ISSN-2455-6300) ONLINE
ANVESHANA’S INTERNATIONAL JOURNAL OF RESEARCH IN ENGINEERING AND APPLIED SCIENCES

PREDICTION OF GROUNDWATER CHEMISTRY FOR IRRIGATION PURPOSES IN JHABUA DISTRICT MADHYA PRADESH

Pravesh Jatav & Dr. Naresh Pratap

Page 1-10

ANVESHANA’S INTERNATIONAL JOURNAL OF RESEARCH IN ENGINEERING AND APPLIED SCIENCES (ISSN-2455-6300) ONLINE
Vol - 8 Issue - 3

Paper Title

PREDICTION OF GROUNDWATER CHEMISTRY FOR IRRIGATION PURPOSES IN JHABUA DISTRICT MADHYA PRADESH

Abstract

Ground water for irrigation in Jhabua district, Madhya Pradesh, India, is assessed for chemical purity. Twenty-five post-monsoon Meghnagar open-dug well water samples were analyzed for major cations and anions. Sodium Percent, Kelley\'s Ratio, Sodium Absorption Ratio, Residual Sodium Carbonate Ratio, and Magnesium risk describe irrigation ground water quality. pH (7.00-810), Electrical conductivity (305-910), and Total Dissolved Solids (250-460) ppm make water samples tasteless, odorless, and colorless. Chemical analysis analyzes Ca, Mg, K, Na, Cl, SO4, HCO3, NO3, and F ions (0.20 – 1.05 ppm). The U.S. Salinity diagram and Wilcox diagram show ground water irrigation appropriateness based on chemical criteria including Sodium Percent, Kelley\'s Ratio, Sodium Adsorption Ratio, Residual Sodium Carbonate, and Magnesium-Hazard. Chemical characteristics determine groundwater irrigation. Jhabua\'s Meghnagar study region contains irrigation-quality groundwater.
KEYWORDS : Chemical Quality, Ground water, Irrigation, Jhabua

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IMPORTANCE OF BIG DATA AND ANALYTICS TO THE DEVELOPMENT OF SMART CITIES

Punit Kumar Chaubey & Dr. Rajeev Yadav

Page 11-23

ANVESHANA’S INTERNATIONAL JOURNAL OF RESEARCH IN ENGINEERING AND APPLIED SCIENCES (ISSN-2455-6300) ONLINE
Vol - 8 Issue - 3

Paper Title

IMPORTANCE OF BIG DATA AND ANALYTICS TO THE DEVELOPMENT OF SMART CITIES

Abstract

This paper aims to investigate the actual potential of big data analytics in smart cities. In this research, we looked at instances when decision-makers used big data analytics as a tool to create smart cities. The study discusses how the Internet of Things, machine-to-machine communication, big data, and linkages across smart cities might assist in doing predictive analytics that may be beneficial to human wellness. This study focused on two key areas, the Smart Grid and Traffic Congestion Management, where city planners and decision-makers may benefit from Big Data Analytics. The paper details a number of pilot projects being carried out to improve human health while also making cities smarter. The paper also took into account a number of difficulties that may arise while using Big Data to create Smart Cities.
KEYWORDS : Big Data, IoT, Traffic Congestion

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A STUDY ON CONSTRUCTING DATA PATHS IN NETWORK PROCESSOR-BASED ROUTERS

Sreedhar Pasumarthi Kiranmayi Akkabattula & Tejaswini kothapalli

Page 24-34

ANVESHANA’S INTERNATIONAL JOURNAL OF RESEARCH IN ENGINEERING AND APPLIED SCIENCES (ISSN-2455-6300) ONLINE
Vol - 8 Issue - 3

Paper Title

A STUDY ON CONSTRUCTING DATA PATHS IN NETWORK PROCESSOR-BASED ROUTERS

Abstract

There is developing revenue in network processor advances fit for handling parcels at line rates. In the next generation of high-speed router and switch architectures, network processors are likely to replace the Application Specific Integrated Circuits (ASICs) that are currently utilized in routers. NetBind, a high-performance, adaptable, and scalable binding tool for dynamically constructing data paths in network processor-based routers, is the subject of our design, implementation, and evaluation in this paper. NetBind\'s methodology strikes a balance between the need to process and forward packets at line speeds and the programmability of the network. One of the most important features of next-generation Internet architectures is the functionality of routers for custom packet processing. As an abstraction for describing, composing, and deploying end-to-end connections with custom communication features, network services have been proposed. We present a novel hardware architecture for high-performance processing of such network services in the data path.
KEYWORDS : Network processor, Binding, Service Creation, Programmable Networks

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STUDY OF WATER ISOTOPE APPLICATIONS AND HYDROLOGICAL PROCESS RESEARCH

Vikas Keshari & Dr. Deepak Dalal

Page 35-39

ANVESHANA’S INTERNATIONAL JOURNAL OF RESEARCH IN ENGINEERING AND APPLIED SCIENCES (ISSN-2455-6300) ONLINE
Vol - 8 Issue - 3

Paper Title

STUDY OF WATER ISOTOPE APPLICATIONS AND HYDROLOGICAL PROCESS RESEARCH

Abstract

Water\'s stable and radioactive isotopes track water molecules throughout the water cycle. Since laser absorption spectroscopy can quantify stable isotope ratios at better resolutions, water isotope studies have increased in the previous decade. This Special Issue addresses the latest water isotope methods, applications, and hydrological process interpretations and adds to the rapidly developing isotope data store needed to manage future water resources. We are pleased to present this collection of 14 papers on the use of water isotopes to study hydrological processes worldwide, including local and regional studies on precipitation dynamics or the use of water isotopes in conjunction with other hydrochemical parameters to pinpoint hydrological and geochemical processes in surface water, snowmelt, soil water, groundwater, and xylem water.
KEYWORDS : surface water; water management; water cycle; isotope hydrology; measurement traceability; precipitation (rain and snow); groundwater; networks and data bases; statistical evaluation

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MILLING DYNAMICS UNDER LOW STIFFNESS CUTTING CONDITIONS: A BRIEF REVIEW OF MODELING AND ANALYSIS

Phatangare Prashant Ashok & Dr. Deepak Dalal

Page 40-48

ANVESHANA’S INTERNATIONAL JOURNAL OF RESEARCH IN ENGINEERING AND APPLIED SCIENCES (ISSN-2455-6300) ONLINE
Vol - 8 Issue - 3

Paper Title

MILLING DYNAMICS UNDER LOW STIFFNESS CUTTING CONDITIONS: A BRIEF REVIEW OF MODELING AND ANALYSIS

Abstract

Dynamic milling system responses change ideal cutting teeth trajectories, decreasing machining accuracy. When milling thin-walled materials or using slender tools, cutting vibrations may reach tens or hundreds of micrometers. Moderate cutting settings reduce cutting loads, milling noise, and dynamic deflections. Productivity plummets. Modeling, evaluating, monitoring, and regulating the dynamic milling process under low-stiffness cutting conditions is tough despite decades of study. This paper summarizes dynamics modeling and response analysis advancements and research challenges.
KEYWORDS : Milling; Low-stiffness; Dynamic model; Response analysis; Chatter; machining quality

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A SYSTEMATIC APPROACH TO DETERMINING LASER CUTTING MACHINE PROCESS PARAMETERS

Patil Yogeshwari & Dr. Amit Singla

Page 49-56

ANVESHANA’S INTERNATIONAL JOURNAL OF RESEARCH IN ENGINEERING AND APPLIED SCIENCES (ISSN-2455-6300) ONLINE
Vol - 8 Issue - 3

Paper Title

A SYSTEMATIC APPROACH TO DETERMINING LASER CUTTING MACHINE PROCESS PARAMETERS

Abstract

One of the greatest technologies ever created for cutting, drilling, micro-machining, welding, sintering, and heat treatment is LASER (Light Amplification by Stimulated Emission of Radiation). It is one of the novel thermal energy-based processes used to accurately and precisely cut materials with complicated profiles. The quality of the job is significantly influenced by all cutting factors. This study\'s objective is to establish a relationship between the CO2 laser cutting parameters of laser power and cutting power. The laser beam generally has a diameter of 0.2 mm and 1–10 kW of power. Different gases are utilized in combination with cutting depending on the application choice. The kerf breadth and roughness of the cut surface decrease with an increase in frequency and cutting speed, but they rise with an increase in power and gas pressure. Investigations were done on the relationship between the response and the input parameters. The key factor affecting how well a laser cutting process works is the laser parameter.
KEYWORDS : Laser cutting, Surface roughness, Process parameter, kerf width, CO2 , Heat affected zone

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APPLICATION OF LIQUID CHROMATOGRAPHY AND TANDEM MASS SPECTROMETRY IN CLINICAL LABORATORIES: A REVIEW

Elden Mathew & Dr. Deepak Kumar Verma

Page 57-64

ANVESHANA’S INTERNATIONAL JOURNAL OF RESEARCH IN ENGINEERING AND APPLIED SCIENCES (ISSN-2455-6300) ONLINE
Vol - 8 Issue - 3

Paper Title

APPLICATION OF LIQUID CHROMATOGRAPHY AND TANDEM MASS SPECTROMETRY IN CLINICAL LABORATORIES: A REVIEW

Abstract

Building an LC-MS/MS-based diagnostic test requires several technologies and skills. Journal publications seldom describe method development. Method developers may have to do substantial study to obtain test data. This research describes method development techniques. It also discusses technique development difficulties like assay calibration and quality control placement using literature examples. This review provides a comprehensive reference and encourages critical thinking about the research utilized to create a clinically relevant LC-MS/MS assay.
KEYWORDS : Tandem Mass Spectrometry, Liquid Chromatography, Method Development, Sample Preparation, Calibration, Internal Standards, Matrix Effects, Quality Control

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CLOUD-BASED RESTAURANT QUEUE MANAGEMENT SYSTEM WITH PREDICTIVE ANALYSIS FOR WAIT TIMES

CH. Anil T. Sreeja M. Tharun Goud S. & Vigna Teja

Page 65-73

Anveshana’s International Journal of Research in Engineering and Applied Sciences (ISSN-2455-6300)ONLINE
Vol-8 Issue - 3

Paper Title

CLOUD-BASED RESTAURANT QUEUE MANAGEMENT SYSTEM WITH PREDICTIVE ANALYSIS FOR WAIT TIMES

Abstract

In order to improve customer waiting times and restaurant operations, this paper introduces a cloud-based restaurant queue management system that incorporates predictive analysis. To effectively manage restaurant lines, the suggested system makes use of mobile application technologies, cloud computing, and machine learning. Clients can remotely reserve tables, view real-time wait times, and get automated updates via mobile notifications. Using historical data on customer inflow, restaurant capacity, and time-based trends, the machine learning module forecasts wait times. The backend cloud infrastructure supports scalability across multiple restaurants by guaranteeing real-time synchronization of queue data. Additionally, restaurant managers can monitor peak hours, track table availability, and view analytical insights for operational optimization through the system\'s Admin Dashboard. By minimizing physical crowding and streamlining the queue management procedure, this strategy raises customer satisfaction. It offers a strong, data-driven framework that transforms contemporary restaurant management by fusing real-time cloud operations, predictive analytics, and intuitive user interfaces. Index Terms: Real-time systems, mobile applications, cloud computing, machine learning, predictive analysis, queue management, and restaurant automation.
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MODELING AND EXPERIMENTAL INVESTIGATION OF CONTAMINANT TRANSPORT IN POROUS ASPHALT LAYERS

MUNEERUDDIN AKHTAR Dr. RAMVATH SRIKANTH & Dr. K. SHANKER

Page 74-81

Anveshana’s International Journal of Research in Engineering and Applied Sciences (ISSN-2455-6300)ONLINE
VOLUME-8 ISSUE-3

Paper Title

MODELING AND EXPERIMENTAL INVESTIGATION OF CONTAMINANT TRANSPORT IN POROUS ASPHALT LAYERS

Abstract

Purification materials have been widely applied as filter media in best management measures including wetlands, bio retention systems, and so forth, whereas their application in permeable pavement is limited and needs further research. Based on laboratory rainfall test and static adsorption test, the possible application of three types of water purification materials, including diatomite, quartz sand, and straw biochar, in porous asphalt pavement and their pollutant removal effect were investigated. And when the purification materials are applied as alternative fillers in porous asphalt mixture (PA), they can enhance the removal effect of dissolved pollutants, especially heavy metals, by their special chemical properties and the positive influence on microscopic pore structures of PA. Contaminant leaching from asphalt pavements poses a significant environmental concern, potentially damaging soil and groundwater quality. The growing interest in incorporating recycled materials in asphalt pavements has further raised concerns over the potential environmental hazards due to contaminant leaching. analysis of contaminants, contaminants and leaching from road materials incorporating recycled waste, other factors affecting leaching of pollutants from asphalt pavements, and mathematical models to predict leaching from asphalt pavements. Despite the importance of addressing leaching issues, there is a lack of standardised leaching tests and guidelines specific to asphalt materials, limited attention to evaluating contaminants beyond heavy metals and PAHs in asphalt leachates, insufficient understanding of optimal instrument parameters for asphalt leachate analysis, and a scarcity of mathematical models to predict future leaching potential.
KEYWORDS : Contaminant leaching Asphalt roads, porous asphalt pavement, purification materials, pollutants from asphalt

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PREDICTION OF GROUNDWATER CHEMISTRY FOR IRRIGATION PURPOSES IN JHABUA DISTRICT MADHYA PRADESH

IMPORTANCE OF BIG DATA AND ANALYTICS TO THE DEVELOPMENT OF SMART CITIES

A STUDY ON CONSTRUCTING DATA PATHS IN NETWORK PROCESSOR-BASED ROUTERS

STUDY OF WATER ISOTOPE APPLICATIONS AND HYDROLOGICAL PROCESS RESEARCH

MILLING DYNAMICS UNDER LOW STIFFNESS CUTTING CONDITIONS: A BRIEF REVIEW OF MODELING AND ANALYSIS

A SYSTEMATIC APPROACH TO DETERMINING LASER CUTTING MACHINE PROCESS PARAMETERS

APPLICATION OF LIQUID CHROMATOGRAPHY AND TANDEM MASS SPECTROMETRY IN CLINICAL LABORATORIES: A REVIEW

CLOUD-BASED RESTAURANT QUEUE MANAGEMENT SYSTEM WITH PREDICTIVE ANALYSIS FOR WAIT TIMES

MODELING AND EXPERIMENTAL INVESTIGATION OF CONTAMINANT TRANSPORT IN POROUS ASPHALT LAYERS

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