VOLUME 8, ISSUE 11, NOVEMBER 2021

Abstract: Online Business or e-business is any kind of business or commercial transaction that includes sharing information across the internet. commerce constitutes the exchange of products and services between businesses, groups, and individuals and can be seen as one of the essential activities of any business. Electronic commerce focuses on the use of information and communication technology to enable the external activities and relationships of the business with individuals, groups, and other businesses, while e-business refers to business with help of the internet. Electronic business differs from electronic commerce as it does not only deal with online transactions of selling and buying of a product and/or service but also enables to conduct of business processes (inbound/outbound logistics, manufacturing & operations, marketing and sales, customer service) within the value chain through internal or external networks.The term "e-business" was coined by IBM marketing and Internet team 1999

Keywords: e-business or online exchange products

Abstract: Lithium-ion batteries are expected to be the primary source of energy for the future generation of transportation systems. Following the standard industrial communication protocol, this study describes a methodical approach to designing an effective hardware test bed for Battery Monitoring System (BMS) applications in the Electric Vehicle (EV) industry. The hardware test bed collects both battery voltage and current data acquisition.The architecture of a battery hardware test bed is then described, as well as the reasoning for picking key components such as the microcontroller and voltage/current sensors. The batteries are initially charged to their maximum capacity. The initial battery powers the vehicle. The source is switched to the second battery when the first battery goes below a particular level (low battery).

Keywords: Battery Monitoring System (BMS), Electric Vehicle (EV), Lithium-ion batteries

Abstract: Water is the most widely used matter present on earth, due to urbanization industrialization, and pollution the availability of fresh water for drinking becomes scarce. Management of fresh water should be done strictly for a safe future. The conventional method of monitoring water quality is a slow and expensive process. In addition, this monitoring method is not suitable for rural and remote areas where analytical laboratories and technical personnel are not available. Current testing approaches are time-consuming and require 18-24 hours to give a result. The equipment used in this method is bulky to transport to remote locations, very complex to use and requires specialized professionals to perform the tests. Although these processes are carried out by field experts, precise monitoring of water quality using chemical reagents and specialized laboratory equipment is complex and not completely reliable. The sensor-based monitoring technology has solved many difficulties associated with the monitoring of many elements such as air quality monitoring, noise level monitoring, and flood monitoring in the modern world. Real-time monitoring, of a flood, sewer monitoring, and rubbish collection are all done via sensor-based systems connected to the internet. Water quality monitoring in rivers, lakes, and underground water can be done by using sensor-based smart monitoring techniques. In this research work, a sensor-based smart technique is used for water quality (ph, turbidity, temperature) and quantity (water level) monitoring for river tamsa.

Keywords: sensors, water quality, smart monitoring, real time monitoring

Abstract: Automation rules the world nowadays. It is a technique of using computers or mobile phones in monitoring and controlling the simple parameters of day-to-day life. The important aspect of this prototype is cost saving and reduced manpower in recreation grounds. In this project we propose a complete automation system for recreation grounds which needs human interaction in daily scenarios. Our advanced design consists of three sections such as Automatic entrance door opening and closing system, motorized plant watering system and also an energy saving module with LDR sensor. All these activities are uploaded to IOT along with their values for future needs. In this paper, air pollution around the recreational ground is also reported.

Keywords: Automation , IOT ,LDR.

Abstract: TiO2:Sm3+ (1-9 mol %) nano particles (NPs) were prepared by self-propagating solution combustion method (SC) using Neem leaf extract. PXRD study contributes the particle size, crystallanity etc., with phase transformation from rutile to anatase with the addition of dopant when calcinated for 2H. The energy band gap (Eg) of pure and doped samples was found to be in the range 3.10 - 3.23 eV. The Photo-luminescence points CIE and CCT results with chromaticity colour CIE-coordinates x = 0.5310, y = 0.4601 and average CCT as 2426K, suggests sample suitable for hot wLEDs which can be used for household applications.

Keywords: CIE, CCT, Band Gap Energy

Abstract: The present study is aimed to investigate the bioactive compounds present in the tested plant by using Thin Layer Chromatography (TLC). Thevetia peruviana (Pers.) K. Schum is one of the important medicinal as well as ornamental plant belongs to the Dogbane family Apocynaceae. It is commonly known as yellow oleander. The plant is popular in traditional medicine especially for treatment of heart problems. The leaves are emetic and purgative. Leaf decoction is given to prevent conception. Thin layer chromatographic analysis reveals the presence of different bioactive compounds like alkaloids, flavanoids, cardiac glycosides, phenolic compounds, phytosterols and tannins, which are mainly contributed to medicinal utility of the plant, hence, Thevetia White ethanolic leaf extract can be used for drug preparation in pharmaceutical industries.

Keywords: Thin Layer Chromatography, cardiac glycosides, phytochemical analysis, Thevetia peruviana (Pers.) K. Schum.

Abstract: Cost Volume Profit (CVP) analysis is considered as the most powerful device to increase the chances of making profits in today's competitive business market. Such analysis helps a company to make decisions such as enhancement of sales, and making revenues. CVP analysis depicts the relationship among different components, specifically, variable cost, sales volume and product cost which can help in planning how to make revenues. Cost Volume Profit analysis plays a vital role in the managerial decision making processes. The organization can decide the type of products that needs to be created for reaching the desired outputs, the number of units that needs to be distributed, attaining obligatory benefits under numerous cost and volume affiliation. The objectives are to find out the Cost Volume Profit (CVP) of Baraka Power Limited of the periods (2016-2020) and to calculate the company's Break-Even point. To satisfy the objectives, five year financial information has been considered from the period 2016-2020 in the form of secondary data. The data have been collected from the Annual Reports of the company and the company's website. The data were then analyzed and recommendations were also given. The results showed a steady increase throughout the studied periods in their sales and contribution level. Based on the fluctuating profit-volume ratio and break even sales results, it was recommended that the company should consider lowering their fixed costs and increasing their sales in their upcoming future. It was also recommended that the company can use CVP analysis to make appropriate decisions for making profits.

Keywords: Cost Volume Profit, Power Sector Industry, Baraka Power, Bangladesh.

Abstract: Complexity Theory is a formal mathematical theory, in which we study computational problems and algorithms to solve those problems. In complexity theory we need to analyse the program in terms of the efficiency of the program, lines of the code, finding out that the program is able to find out the correct answer or output, figuring out whether one program is better than the other program. An algorithm here means the programming code through which the given problem will be solved. It is step by step procedure to perform a desired task.

Keywords: Computational theory, Complexity theory, Computational complexity theory, String matching algorithm, P and NP problem, NP complete problem

Abstract: In this paper I have provided an analysis of the effects of WFH (Work from home) in IT services company. The company abruptly switched all employees from WFO to WFH in March 2020, in response to the largely unanticipated pandemic shock. WFH also affected working patterns in substantial ways. Employees spent more time participating in various types of meetings, but less time in personal meetings with their manager or receiving coaching. They engaged in fewer contacts with colleagues inside and outside of the firm.

Keywords: work from home, job satisfaction, Productivity, IT services

Abstract: The increasing global demand for energy and stronger environmental concerns have made necessary the search for new and sustainable sources of energy. The use of biofuels, especially in the transport sector, has proved to be an option to reduce the use of oil. Biodiesel represents the 33 % of global biofuel production. Algae can become a suitable source of biomass for biofuels production. Macroalgae, which are multicellular organisms that grow in fresh or salt wáter. Macroalgae are a promising source for biofuel production, they do not compete with the production of food and unlike oil crops, do not require agricultural land for cultivation, pesticides or herbicides. The fatty acids of Cladophora glomerata biodiesel were determined using gas liquid chromatography.

Keywords: Macroalgae Cladophora glomerata, Lipid, Biodiesel.

Abstract: Climatic variability in the last decade especially erratic rainfall pattern and extreme rises in temperatures led to a drastic reduction in the kharif onion crop yieldi.e., 30 to 40% in Nashik (M.S.). Increases in temperature, rainfall and relative humidity also affected the post-storage quality causing considerable losses in storage (up to 40%). Reduced production creates deficit in the domestic market supply resulting in steep price hike. Onion farming being a major source of income for the farmers of Nashik, reduction in yield increases their vulnerability. Keeping in view the constraints faced by the farmers, the study was undertaken to assess the vulnerability of kharif onion crop to changing climatic conditions in the last ten years. Asurvey of 300 farmers was undertaken from two talukas of Nashikthrough questionnaire and focused group discussions for the vulnerability assessment.84% farmers revealed germination failure between 40% to 70% due to excessive rainfall and from 40 % to 70% due to drought. 40% crop damage due to pests and diseases was reported by 57% farmers. An increased use of chemical fertilizers and pesticides was done by 83% of farmers and only 15% applied organic manures andbio fertilizers for improving crop performance. A reduction in bulb storage quality up to 60%, and more than 40% losses in yield were observed. 40% to 60% economic losses along with reduction in market price up to 80% were reported by 85% of the farmers. Implementation of climate resilient technologies like raised -bed, drip irrigation, organic and bio-fertilizers along with their mass demonstration are recommended.

Keywords: Climatic variability, vulnerability assessment, onion, survey

Abstract: Drag reduction is important in modern aviation because it improves both fuel consumption and aerodynamic performance. Better results in lift to drag ratio can be achieved by optimising the aerodynamic shape. The boundary layer separation can be prolonged up to a certain distance in the chord by creating turbulence over the wing surface under subsonic conditions. To improve the lift-to-drag ratio, additional components could be added to the wing's upper surface. Some of the components that can increase the lift-drag ratio of the wing include fish scales, inward dimples, and vortex generators. The fish scale array is designed, incorporated, and analysed on the upper surface of the NACA 4412 wing. To investigate the transition delay of the boundary layer on the section side of the airfoil, they were analysed for the angle of attack at 20, 40, 60, 80, 100, 120. In comparison to a smooth airfoil, the lift to drag ratio also shows an improvement in performance.

Keywords: Drag reduction, Boundary layer, Lift-drag ratio, NACA 4412 wing, Smooth airfoil.

Abstract: Fluidic thrust vectoring provides an additional control variable that offers many benefits in terms of maneuverability and control effectiveness in the new generation aircrafts and missiles. Thrust vectoring capabilities make the satisfaction of take-off and landing requirements easier. Fluidic thrust vectoring continues to work at low dynamic pressures, where other control technologies are less effective, making it a more valuable and dynamic in flight envelope. Additionally, thrust vectoring could increase conventional controls for some control power to trim the aircraft and thus reduce cruise trim drag. In this paper, an attempt has been made to numerically study the effect of thrust vectoring using shock vector method for various pressure ratios (Nozzle inlet pressure to Secondary injection Pressure) and the jet deflection angles are obtained. Also aims to study the effect of nozzle blockage effects for each pressure ratios. The numerical study includes two different inlet pressure conditions namely 9 and 12 bars, with the secondary injection pressure ratio varied from 9 to 15 bars. The numerical study is based on the K-epsilon turbulence model with enhanced wall treatment to capture the complex flow phenomena occurring on upstream and downstream of the secondary injection port. The primary jet decay characteristics at the nozzle exit and the side forces created on the nozzle walls are studied.

Keywords: C-D nozzle, Thrust vectoring, Flow deflection, flow separation, fluidic thrust vectoring, shock vector

Abstract: Matrix converter is emerging to be an alternative topology for power converters, drive by persistent cost reduction of silicon devices and the development of reverse blocking IGBTs. One of the major obstacles towards commercial acceptance of this topology has been the commutation of the bi directional switches. A detailed study has been made here to understand the limitations and possible improvement of the existing current commutation techniques in this paper. A universal and synchronous commutation scheme for all the IGBTs is advised so that commutation can smoothly take place as and when required within the minimum possible time depending on the switching time of the IGBT used. The different aspects of this commutation are verified through MATLB simulink. Possibility of step less current commutation is explored.

Keywords: matrix converter, commutation, voltage commutation, current commutation, single step, step less commutation, commutation.

Abstract: The purpose of this paper is to model, design and statically analyse the propeller shaft made from composite materials consisting of low carbon steel, epoxy, S-glass and T-700 fiber. The static structural analysis is administered for both conventional steel propeller shaft and hybrid composite propeller shaft to estimate the displacements, stresses, strains and forces in structures or components caused by loads that don't induce significant inertia and damping effects. Comparative results show that The steel shaft exhibits minimum value for directional deformation along y-axis, equivalent elastic strain, Maximum shear elastic strain and Maximum shear stress compared to hybrid composite shafts, which means that, steel shaft can withstand more load compare to hybrid composite one. But, for the Equivalent (Von Mises) stress hybrid composite shaft exhibits minimum value leading to more load withstand ability. From the analysis, it can be justified that for minimum load conditions, i.e., for light weight passenger's vehicle, the hybrid composite shafts can be considered rather than steel shaft thus reducing the overall weight of the vehicle and increasing the performance.

Keywords: Hybrid Composite Propeller Shaft, static analysis, ANSYS

Abstract: In the era of Digital Manufacturing and supporting state-of-the-art, i.e. Additive manufacturing (AM) technology is getting more popular known as 3D printing, AM has created its own space in the fastest growing industry. 3D printing has evolved in previous years, and now, it is being used in several social life domains. The main application of this process has found in prototyping, aerospace industry, biomedical and dental implants. Additive manufacturing prints a part in a layer by layer or line by line pattern. It opposes the basic concept of traditional manufacturing. Advances in composite and multi-material manufacturing provide new opportunities for the convenient manufacture of lightweight parts and modern products, such as flapping wings, satellite brackets, and lightweight components for the aviation industry. It is a particular technology that varies from conventional and subtractive development in terms of lightweight, enhanced features, lower fuel consumption, and optimized machine performance, so on. This paper addressed the progress of AM in the aerospace field and addressed the issues of AM.

Keywords: Additive manufacturing, Aerospace Industry, Lightweight Component

Abstract: Small Stirling cryocoolers, with refrigeration capacities in the range of 0.5W to 5W, at cooling temperatures as low as 60K have found their way into the fields of aerospace, medical and energy. The present work is aimed at performance simulation of a Stirling cryocooler using CFD. Simulation of the reciprocating flow inside a 2-D model of the cryocooler has been accomplished using the dynamic mesh technique in ANSYS Fluent. For this purpose, two separate User Defined Functions (UDFs) have been compiled for the movement of piston and displacer. In order to operate the cryocooler based on the Stirling cycle an appropriate phase difference has been maintained between the piston and displacer movement. This model is time intensive but proves to be appropriate for cyclic simulations. The mesh inside the working spaces is compressed and expanded proportionally avoiding the negative volume error that is often encountered in moving mesh problems. Temperature-dependent properties of the working fluid and matrix material have been incorporated by using appropriate coefficients of polynomial functions as a function of temperature. Area weighted temperature and pressure inside the compression and expansion spaces have been reported for the ANSYS Fluent simulations. It is shown that the modelled cryocooler can achieve a refrigeration temperature of 60K with a heat load of 0.75W. The methodology adopted in the current work can be utilized to simulate the performance of a cryocooler and can be helpful in finding the optimum values of its operational parameters.

Keywords: Cryocoolers, ANSYS, Matrix, Aerospace industry

Abstract: The present investigation highlights some commonly used phytoveterinary medicines for animal's ailments. This investigation carried out during January to September 2021.The data of this investigation is collected from rural and tribal people of Malegoan Taluka of Nashik District .In this study ailments commonly found in different categories of livestock and their treatment with Phytoveterinary medicines belongs to 23 species 23 genera &21familiesrecorded.In this article the botanical name, family, part used and action of medicine is mentioned

Abstract: The purpose of the research was to effects the resistance training on power ability among Student Athletes with respects to athletic and work power ability. The 15 Student Athletes as a experimental group who were practicing Inter Collegiate Tournament and 15 other students as a control group was selected as subject for present study, their age ranged between 18-28 years. Only training was given to the experimental groups. Voluntary to participate in the Resistance training programmes. Exclusion criteria were the presence of chronic medical conditions such as asthma, heart disease or any other condition that would put the subjects at risk when performing the experimental tests. The resistance training was planned as 06 weeks 05 Days a week and 45 min. Study was conducted at Aurangabad . Mean score and standard deviation were taken and T test was applied. The result reveals that there was significant effect of resistance training on work power (F-53.76, p

Abstract: In recent times use of plant natural products has increased tremendously and there is a very high demand of herbal products for therapeutic, clinical, agricultural purposes. Plant latex is a rich source of pharmaceuticals, pesticides and immune allergins. Ficus (Fig fruit) latex exerts inhibitory effects on proliferation of various cancer lines, probably due to high amount of phytosterols and flavoinoids, responsible for its free scavenging as well anticancer activity. The ayurvedic system of medicine also assures the effect of milky substance (latex) in lessening the inflammation in various cancer types. It is widely accepted that alterations of cyclooxygenase-2(COX-2) expression and the abundance of its enzymatic product prostaglandin E2 (PGE2) have a key role in influencing the development of breast cancer. The present review correlates antioxidant activity of ficus species with its pharmacological activities.

Keywords: Ficus, anticancer effects; cytotoxic effects; medicinal plant

Abstract: Nowadays, breast cancer is a common problem appearing in women. According to statistics, by the end of 2020, there were 7.8 million women alive, who were diagnosed with breast cancer in the past 5 years. Making it the world's most prevalent cancer. Although, predicting diagnosis & prognosis in breast cancer are two clinical applications that have represented a test to the scientists. But the utilization of AI and data mining strategies has changed the entire course of breast malignancy Diagnosis and Prognosis. Breast Cancer Diagnosis recognizes harmless from dangerous breast lumps and Breast Cancer Prognosis predicts when Breast Cancer is probably going to repeat in patients that have had their malignancies existed. Accordingly, these two issues are primarily in the extent of the grouping issues. Most data mining strategies that are regularly utilized in this space are considered as order classification and applied expectation methods allocate patients to either a harmless gathering that is non-cancerous or a" malignant" group that is cancerous. Consequently the breast malignancy demonstrative issues are fundamentally in the extent of the generally examined grouping issues. In this review, amazing order calculations to be an Artificial Neural Network has been applied for breast cancer prediction. Experiment results show that the previously mentioned calculations have a promising outcome for this reason with the general expectation precision of 96%, individually. A model can be built for each stage reflecting effect due to patient characteristics.

Keywords: Predicting Breast Cancer, Diagnosis Breast Cancer, Prognosis Breast Cancer, Artificial Neural Network, Machine Learning, Data Mining.

Abstract: The turning operation includes a lathe machine conventional or CNC turning centre, a lubricant, tool, operator and a raw material for accomplishing the production. The parameters for machining like the speed, feed, and depth of the cut should be set to perform the desired rate of production, longer tool life and a desired surface finish over the component. To handle these varying requirements, the variables for machining should be optimized for recommending a best mix for realizing, for example, surface finish. Achieving a higher rate of production for the considered surface finish would be the objective of this project. For experimentation over this proposed work, a CNC turning centre would be engaged for machining the different work piece material is stainless steel (SS410 )with different types of cutting tool inserts (CARBIDE and CERAMIC) with a set of values for the given parameters. The procedure would be continued for various values of the parameters while keeping the other constant.Taguchi method is used for finding the optimized solution.

Keywords: CNC turning, stainless steel (SS410), CARBIDE and CERAMIC, surface finish.

Abstract: Recognition of handwritten digits is a interesting research topic in Optical Character Recognition (OCR) in recent years. In this work, a CRNN model is proposed which is the combination of convolutional neural network (CNN) and Recurrent neural network (RNN). In this model, GRU is used to replace the CNN fully connected layer part to achieve high recognition accuracy Firstly, CNN ensures that the best features of the original image can be extracted using multiple convolutional and pooling layers. Secondly, GRU is a fast recognition method, which established a sequential relationship between features in the hidden layer. Experiment result performed on Kannada MNIST handwritten digit dataset achieves 98.12% training accuracy and 98.95% validation accuracy and also achieved higher precision, recall and F1 score ratio.

Keywords: CNN, RNN, GRU and Kannada MNIST

Abstract: A systematic study was conducted to evaluate the water quality status of the River Bohimora in Sonitpur District. To assess and monitor its habitability and water-usability, 15 water samples and many macro-invertebrates were collected from three sampling stations and analysed for physicochemical parameters (temperature, transparency, turbidity, TDS, pH, and DO) and diversity indices (Shannon index, Simpson index). Each parameter was compared to other studies on river water in various studies. The analytical data of various physicochemical parameters show that some parameters, such as transparency, are degrading and unfavourable to the biosphere adjacent the river's mouth. These values indicate that water samples from some sampling stations are unfit for drinking due to high TDS levels. These physiochemical findings also support the decreasing biotic indices near the river mouth. Observations were made about the possible causes of these deteriorating parameters.

Keywords: Biodiversity Index, Water quality, Physico-chemical parameters, River water

+91-7667918914 iarjset@gmail.com 0 Items International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal ISSN Online 2393-8021 ISSN Print 2394-1588 Since 2014 Home About About IARJSET Aims and Scope Editorial Board Editorial Policies Publication Ethics Publication Policies Indexing and Abstracting Citation Index License Information Authors How can I publish my paper? Instructions to Authors Benefits to Authors Why Publish in IARJSET Call for Papers Check my Paper status Publication Fee Details Publication Fee Mode FAQs Author Testimonials Reviewers Topics Peer Review Current Issue & Archives Indexing FAQ’s Contact Select Page REVIEW ON USE OF INTERNET OF THINGS IN AUTOMOBILE AAQUIB AWAIS N. I. SHAIKH, PRASAD N. KULKARNI Abstract-: In this paper we have discussed, accidents occurred due to lack of visibility because of severe weather conditions (Dense Fog). Prevention of these accidents by using Internet of Things with the help of technologies like i.) Smart Vehicle Monitoring System, ii.) Image Processing iii.) Wireless Fog Warning System. Downloads: | DOI: 10.17148/IARJSET.2021.81127 How to Cite: [1] AAQUIB AWAIS N. I. SHAIKH, PRASAD N. KULKARNI, "REVIEW ON USE OF INTERNET OF THINGS IN AUTOMOBILE," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: IARJSET.2021.81127 Copy Citation Call for Papers Rapid Publication 24/7 April 2026 Submission: eMail paper now Notification: Immediate Publication: Immediately with eCertificates Frequency: Monthly Downloads Paper Format Copyright Form   Submit to iarjset@gmail.com or editor@iarjset.com   Submit My Paper Author CenterHow can I publish my paper? Publication Fee Why Publish in IARJSET Benefits to Authors Guidelines to Authors FAQs (Frequently Asked Questions) Author Testimonials IARJSET ManagementAims and Scope Call for Papers Editorial Board DOI and Crossref Publication Ethics Editorial Policies Publication Policies Subscription / Librarian Conference Special Issue Info ArchivesCurrent Issue & Archives Conference Special Issue Copyright © 2026 IARJSET This work is licensed under a Creative Commons Attribution 4.0 International License. Open chat

Abstract: COVID-19 is a novel infectious disease, caused by Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), possesses varying degree of susceptibility and lethality worldwide. The reason behind this geographical variation is likely to be multifactorial and is driven by a combination of genetic (HLA) and epigenetic factors. In this background the objective of the present discourse is to provide a complimentary overview on associations between classical HLA class I and class II molecules and susceptibility to SARS-CoV-2 and the role of HLA genetic diversity in determining the geographical distribution pattern, risk, severity, and outcomes of SARS-CoV-2 infection. Therefore, we performed a literature search reviewing pertinent articles and documents. Present review presumed that, individual HLA genotypes differentially induce the T-cell mediated antiviral response and potentially alter the course of disease and its transmission. Individuals with some HLA types are at higher risk from the disease while others remain protective. At present time when vaccination process has been started, the isolation of those individuals with high-risk HLA types could be prioritized for vaccination.

Keywords: COVID-19, HLA, Ethnic Variation, Genetic Polymorphism.

Abstract: A shape memory alloy (SMA) is important topics that deal with material which regain to its original position when heat is applied on the material (1). The thermo mechanical and shape memory response were compared to the conventional. The part made of SWA will be light weight solid state alternative to conventional actuator such as hydraulic, pneumatic and motor base system. They can also be used to make hermetic joint in metal tubing. The shape memory response in compression was measured for stresses and transformation strain we found to be very compactly. The fundamental fabrication processes and problem in making shape memory alloy such as melting, heat working, cold working, annealing and heat treatment are described in this paper.

Keywords: Shape memory Alloy, Smart metal, Super elastic, Transformer Temperature, Thermo Mechanical Properties

Abstract: In contrast with most metallic materials, copper alloy has many remarkable properties, such as its excellent electrical and thermal conductivities, good strength, and formability, having outstanding resistance to corrosion and fatigue, and others. Due to their excellent properties, copper alloy is widely used in electrical, automotive, architecture, petrochemicals, transportation, and marine industry. The Main objective of this work is to develop Carbon Nano tubes and E-Glass Fibre reinforced Aluminium Al-7075 Hybrid Metal Matrix Composite (AHMMC) and to evaluate the mechanical properties of these hybrid composites developed. The different types of Hybrid Composites are fabricated with varying composition of Carbon Nano Tubes and E Glass Fibre and the specimens are prepared as per ASTM Standards and experiments are conducted for characterization of mechanical properties like Tension, Compression, and Hardness.

Keywords: Metal Matrix Composites, Mechanical Properties, Tension, Compression, and Hardness.

Abstract: In the current industrial scenario, composite materials have lot of scope due to its improved mechanical properties like hardness, toughness, compressive strength & tensile strength. Conventional monolithic materials have limitations with respect to composite materials. Development of hybrid metal matrix composites has become an important area of research interest in Material Science. The Main objective of this work is to develop "Carbon Nano tubes and E-Glass Fiber Reinforced Aluminium Al-7075 Hybrid Metal Matrix Composite (AHMMC)" and to evaluate the properties of these hybrid composites developed. The different types of Hybrid Composites are fabricated with varying composition of Carbon Nano Tubes and E Glass Fiber and the specimens are prepared as per ASTM Standards and experiments are conducted for characterization of Wear Properties at different Speed with varying loading condition.

Keywords: Metal Matrix Composites, Wear, Carbon Nano tubes, E Glass and Aluminum alloy.

Abstract: Natural materials are one of the prominent and cost effective options for alternating the synthetic fibers reinforced composites. The availability of the natural material and ease of manufacturing attracts the researchers to try the locally available inexpensive fibers and to study their feasibility in reinforcing in to polymers. Accordingly extensive studies on preparation and properties of polymer matrix composite (PMC) replacing the synthetic fiber with natural fiber like Jute, Sisal, Pineapple, Bamboo and Kenaf were carried out. These plant fibers have many advantages over glass fiber or carbon fiber like renewable, environmental friendly, low cost, lightweight, high specific mechanical performance. The present research work has been under taken with an objective to prepare the hybrid nano composite. It is also planned to use these nanofiller as reinforcing material in polymer composite. The low modulus of glass fiber composites has limited their use in applications where buckling stability or high natural frequency is the criteria. It is also known that natural fibers composite possess much lower mechanical strength properties than synthetic fiber reinforced composite. Hence the use of natural fiber alone in polymer composite is inadequate in satisfactorily tackling all the technical needs of a fiber reinforced composite. It is reported that if natural fiber is hybridized with a synthetic fiber in the same matrix the properties of natural fiber could be improved by taking the advantage of both the fibers. In this work an attempt has also been made to fabricate the hybrid nano composite filled with and without nanofiller. The different types of hybrid laminates with Wt % of graphene as nano filler are fabricated by using kenaf, banana(natural fiber) and glass fiber(man made fiber) as reinforcing materials with epoxy resin by keeping the thickness 4mm by using the manual hand lay technique. Tensile, compression and hardness test will be conducted..

Keywords: Kenaf, Banana,Glass fiber, Grapene .

Abstract: The medical and health-care industries gather vast volumes of data that could include some secret knowledge that can help make better decisions. Advanced data mining methods are used to provide appropriate results and make successful data decisions. A neural network is used in an efficient cardiovascular disease prediction method to predict the risk level of heart disease. For prediction, the device uses a variety of medical parameters such as age, sex, blood pressure, cholesterol, and obesity. The cardiovascular disease prediction method forecasts the risk of heart disease in patients. Relationships between people are an example of significant understanding. It allows medical causes and trends linked to heart disease to be identified. As a training algorithm, we used a multilayer perceptron neural network with back propagation. The obtained results show that the designed diagnostic device is capable of accurately predicting the risk of heart disease.

Keywords: Genetic Algorithm, Data mining, Naive Bayes, Multilayer perceptron neural network, Machine Learning, Deep Learning, Neural network.

Abstract: This paper emphasizes the effects of sugar and honey on the strength properties of concrete. The experimentation has been carried out for evaluating the strength properties of concrete using sugar and honey as admixtures into the concrete composition. Based on the literature, the main function for usage of sugar and honey is to extend the initial setting time of concrete. Usually, this type of admixture used in the special cases like large piers and long piles for Repair, Restrain and strengthening of building. Five different percentages of admixtures sugar and honey are chosen in the experimentation as 0%, 10%, 15%, 20%, and 25% by weight of cement the mixed grade of concrete was taken as M20 grade and the grade of cement was taken as 53. The blocks of size 15x15x15mm was been prepared and the compressing test is been carried out. Finally, it was concluded that the setting time where deled and the workability and compressive strength of concrete enhanced when admixture like sugar and honey added into the concrete composition. The result for the admixture blocks where compare to the normal blocks the conclusion was taken. Thus, by adding admixture in the concrete it is observed that the setting time of the concrete was been deled and the workability of the concrete was increased. Thus, such type of admixture honey and sugar can be used in retrofitting of the structure which is located in hot weather.

Keywords: Honey and Sugar Admixture, Retrofitting, Strengthening of members.

+91-7667918914 iarjset@gmail.com 0 Items International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal ISSN Online 2393-8021 ISSN Print 2394-1588 Since 2014 Home About About IARJSET Aims and Scope Editorial Board Editorial Policies Publication Ethics Publication Policies Indexing and Abstracting Citation Index License Information Authors How can I publish my paper? Instructions to Authors Benefits to Authors Why Publish in IARJSET Call for Papers Check my Paper status Publication Fee Details Publication Fee Mode FAQs Author Testimonials Reviewers Topics Peer Review Current Issue & Archives Indexing FAQ’s Contact Select Page CRIME ANALYSIS USING PREDICTIVE MODELING DIVYA CHOPRA*, DEEPANSHU KAUSHIK

Abstract: Preventive measures are always better than curative ones. The same is true for crimes as well. The Crime Analysis uses mathematics, predictive modeling and predictive analysis to help law enforcement in targeting potential criminal and antisocial activities. Studying, observing and analyzing the patterns formed in crimes are used in various countries and organizations. Crime is dynamic in nature but still we can find patterns in a crime which will help the authoritative and concerned organizations to find areas that are less affected by a crime and those with a high rate in a particular crime. This research aims at providing people a thought on how crime patterns can be analyzed and can help in creating a crime free neighborhood with the help of supervised learning. K-nearest neighbor algorithm was used to find locations that are vulnerable to the classified crime. As of now, we have taken six classes of crime: Robbery, Accident, Gambling, Violence, Kidnapping, and Murder. For this research the datasets were selected from government websites, which were pre processed and used to find patterns in the various classes of crime occurring in different states according to the jurisdiction of the country. KEYWORDS- Crime Analysis, Predictive Modelling, K-nearest neighbor, Supervised Learning Downloads: | DOI: 10.17148/IARJSET.2021.81135 How to Cite: [1] DIVYA CHOPRA*, DEEPANSHU KAUSHIK, "CRIME ANALYSIS USING PREDICTIVE MODELING," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: IARJSET.2021.81135 Copy Citation Call for Papers Rapid Publication 24/7 April 2026 Submission: eMail paper now Notification: Immediate Publication: Immediately with eCertificates Frequency: Monthly Downloads Paper Format Copyright Form   Submit to iarjset@gmail.com or editor@iarjset.com   Submit My Paper Author CenterHow can I publish my paper? Publication Fee Why Publish in IARJSET Benefits to Authors Guidelines to Authors FAQs (Frequently Asked Questions) Author Testimonials IARJSET ManagementAims and Scope Call for Papers Editorial Board DOI and Crossref Publication Ethics Editorial Policies Publication Policies Subscription / Librarian Conference Special Issue Info ArchivesCurrent Issue & Archives Conference Special Issue Copyright © 2026 IARJSET This work is licensed under a Creative Commons Attribution 4.0 International License. Open chat

Abstract: Concrete is one of the versatile construction materials which are used worldwide. Self-Compacting Concrete is a type of concrete which is capable of flowing into the form work uniformly, without segregation and bleeding, better finishes, easier placement, thinner concrete sections, no vibration, safer working environment without any application of vibration. Due to many advantages like faster construction, reduction in site for thinner concrete sections, improved durability, suitability for congested reinforcement; this concrete becomes popular in civil engineering construction. Self-Compacting Concrete (SCC) is a flowing concrete mixture that is able to consolidate under its own weight, without the need for vibration. The highly fluid nature of SCC makes it ideal for placing in difficult conditions and in sections with congested reinforcement. Mixture proportions for SCC differ from those of ordinary concrete, in that the former has more powder content and less coarse aggregate. Fresh state properties of SCC like flow property, filling property, passing ability and segregation resistances of the mixes were checked by conducting inverted slump flow test, T500mm flow, V-shaped funnel test, V-shaped funnel test at T5min test, L-Box test method, U-Box test method were carried out according to EFNARC guidelines. Self-consolidating Concrete or Self Compacting High-Performance Concrete. It is very fluid and can pass around abstructions and fill all the nooks and corners without the risk of either mortar or other ingredients of concrete separating out, at the same time there are no entrapped air or rock pockets. This type of concrete mixture does not require any compaction and is saves time, labour and energy.

Keywords: SCC, Cement Concrete, Chemicals Admixtures.

Abstract: This research paper basically deals with Aadhar based Decentralized Voting System that means just by showing Aadhaar we can cast our vote. So this application makes things easy for voters, candidates and administration to participate or to conduct voting. Our system is highly secured as we have implemented blockchain in backend which helps everyone to keep track of malpractices happening in voting.In this proposed application we have used Aadhar number as unique identity which user can enter and if he is eligible ( above 18 years and citizen of India) than OTP will be generated which serves as a pin and after entering it user can use the voting system to cast his valuable vote.

Abstract: Our country mainly depends upon the agriculture. The present scenario of agriculture and agriculturist is in the tragic position. The main problem lies in agriculture is water efficiency, man power, capital, soil fertility, etc. in order to overcome these problem we have developed an auto irrigation system. It minimizes human intervention on fields and it provides limited amount of water to each crops / field which minimizes water efficiency. It detects the moisture of the soil and provides sufficient water supply to plants. It helps the growth of the plant widely. By adopting this methodology the person who posses fields in any remote geographic location can also be frequently monitored with limit of cost. Result show the significant improvement in the proposed work.

Keywords: Automatic irrigation , Smart irrigation , Ardiuno, GSM, Moisture sensor.

+91-7667918914 iarjset@gmail.com 0 Items International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal ISSN Online 2393-8021 ISSN Print 2394-1588 Since 2014 Home About About IARJSET Aims and Scope Editorial Board Editorial Policies Publication Ethics Publication Policies Indexing and Abstracting Citation Index License Information Authors How can I publish my paper? Instructions to Authors Benefits to Authors Why Publish in IARJSET Call for Papers Check my Paper status Publication Fee Details Publication Fee Mode FAQs Author Testimonials Reviewers Topics Peer Review Current Issue & Archives Indexing FAQ’s Contact Select Page Traffic Sign Recognition System Shubham Arya, Vishal Kumar Singh

Abstract: Automatic detection, recognition and audio output of traffic signs is vital and might actually be utilized for driver help to decrease mishaps and ultimately in driverless cars. In this paper, Deep Convolutional Neural Network (CNN) is utilized to foster an Autonomous Traffic and Road Sign location and acknowledgment framework. The proposed framework works progressively distinguishing and perceiving traffic sign pictures. The commitment of this paper is additionally a recently evolved information base of 43 diverse traffic signs gathered from irregular street sides in India. The pictures were taken from various points and including different boundaries and conditions. A sum of 40000+ pictures were gathered to frame the data set which we named Indian Traffic and Road Signs. The CNN engineering was utilized with shifting boundaries to accomplish the best acknowledgment rates. Test results show that the proposed CNN engineering accomplished a precision of 98%, in this manner higher than those accomplished in comparative past investigations Downloads: | DOI: 10.17148/IARJSET.2021.81139 How to Cite: [1] Shubham Arya, Vishal Kumar Singh, "Traffic Sign Recognition System," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: IARJSET.2021.81139 Copy Citation Call for Papers Rapid Publication 24/7 April 2026 Submission: eMail paper now Notification: Immediate Publication: Immediately with eCertificates Frequency: Monthly Downloads Paper Format Copyright Form   Submit to iarjset@gmail.com or editor@iarjset.com   Submit My Paper Author CenterHow can I publish my paper? Publication Fee Why Publish in IARJSET Benefits to Authors Guidelines to Authors FAQs (Frequently Asked Questions) Author Testimonials IARJSET ManagementAims and Scope Call for Papers Editorial Board DOI and Crossref Publication Ethics Editorial Policies Publication Policies Subscription / Librarian Conference Special Issue Info ArchivesCurrent Issue & Archives Conference Special Issue Copyright © 2026 IARJSET This work is licensed under a Creative Commons Attribution 4.0 International License. Open chat

Abstract: A stock market is a place or a public market where you can sell or buy shares for all the publicly listed companies. The stocks have values and rights that represent ownership in the company. The stock exchange is the arbitrator which allows the buying and selling of shares. The future value of the company stocks and the other financial assets traded on an exchange can be done with the help of stock price prediction using machine learning. A significant amount of profit and gain can be done with the help of stock price prediction and that is the main reason behind that because predicting how the stock market will perform is a hard task to do. There are many factors involved in the prediction, such as physical and psychological factors, rational and irrational behaviour, and so forth. These kinds of factors combine to make share prices volatile and dynamic. This makes it very hard to predict stock prices with high accuracy. There were numerous strategies or algorithms which we are able to select to build this project, for now we are going to use one of the famous topics of Machine Learning which are Long short-term memory (LSTM). Long short-term memory (LSTM) is an artificial recurrent neural network (RNN) architecture used in the field of deep learning. Unlike conventional server neural networks, it has a feedback loop. It can process not only single data points such as images, but also whole data sequences such as speech or video. For example, LSTM works on tasks such as unsegmented, connected handwriting recognition, speech recognition and anomaly detection in network traffic or IDSs (intrusion detection systems). A standard LSTM unit is made up of a cell, an input gate, an output gate and a forget gate. The cell remembers numbers periodically and the three gates control the entry and exit of information from the cell. Linear Regression: In statistics, linear regression is a linear approach for modelling the relationship between a scalar response and one or more explanatory variables. In case for a single descriptive variable is called a simple linear regression; for more than one, the process is called multiple linear regression. This term is distinct from multivariate linear regression, in which multiple related dependent variables are predicted, rather than a single scalar variable.

Keywords: Recurrent Neural Network, Stock Price, Stock Price Prediction, Long Short-Term Memory

Abstract: The quantum walk is a subset of classical random walks. Considerable research has lately been conducted on quantum walks in relation to quantum computing. The walk may be thought of as a type of quantum cellular automata. In a broader sense, there is a one-to-one link between them. Furthermore, we look at another type of quantum cellular automata that may be thought of as a quantum version of stochastic cellular automata. The quantum walk formalism is a widely used and quite practical paradigm for modelling quantum systems such as Dirac equation simulations, discrete dynamics in both the low and high energy regimes, and the development of a multitude of quantum algorithms. The walker in a QW moves in a quantum superposition of pathways, and the ensuing interference serves as the foundation for a broad range of quantum algorithms, including quantum search, graph isomorphism issues, and rating nodes in a network. To generate a block representation of n-dimensional quantum cellular automata, we apply the following general result to them. As a result, we have demonstrated that their generic, axiomatic formulation nevertheless produces a unifying, operational representation of them. Some non-trivial ramifications are investigated, such as the fact that bijective non-reversible CA are not physical as closed systems, or that quantum information can move faster than classical information - within some specified dynamics. Finally, we present n-dimensional quantum cellular automata that can simulate anything else. This means that the initial configuration and local transition rule of any one-dimensional QCA may be stored within the universal QCA's initial configuration. The simulated QCA will then correspond to many phases of the universal QCA. In the sense that each cell in the simulated QCA is represented as a group of nearby cells in the universal QCA, the simulation preserves the topology. Because the encoding is linear, it bears no cost of the calculation.

Keywords: Physics, Quantum simulation, QCA, Quantum Walks

Abstract: As more and more opportunities are originating in today's technical world engineering students are getting more options to choose their field of interest from. Hence, it becomes very important for them to be aware of their interests and capabilities at early stages of their career. This will help them start early, and target their efforts in improving their performance. They can assess themselves on all grounds and work on their weaknesses. Even the recruiters assess students in these aspects before recruiting them for a particular job role. This will help both candidates and recruiters to analyze and evaluate the candidate's performance in various areas and suggest the best job profile for him.This paper mainly concentrates on the career area prediction of computer science domain candidates. keywords- Career Counseling, SVM, Decision Tree, Feature Selection, XG Boost

Abstract: Cloud computing is one of the huge things in data innovation and in information technology world. cloud computing give boundless foundation or infrastructure to storage or running client's information/software. Cloud computing is a since quite a while ago envisioned vision of figuring as a utility, where information owner can remotely store their information in the cloud to appreciate on-request profoundly quality application and services from a mutual configurable registering assets. Our paper gives cloud computing security issue and ways to deal with secure the information. Our proposed framework we expect will be more secure, to addressing forensic computing in cloud computing as one of the most important emerging issues and highlighted security challenges.

Keywords: Attack, Pubic Cloud, Cloud Computing, Security

Abstract: In nowadays competitive environment top of the line plant format layout performs a critical position inside the price discount through enhancing the productiveness. The sort of format applied will in large part rely on the character of the producing sports, including the extent and kind of the goods being produced. The plant layout era is tough, specially for the procedure-oriented layout. A detailed definition of plant format; and listed efficient labor usage, manufacturing and protection ease, better productivity, production flexibility, effective utilization of personnel, machines, substances, and gadget, as well as discount of accidents, dangers, and inventory dealing with fee as a number of the advantages of a well-designed plant format. The numerous elements that decide the designing of a plant layout were additionally mentioned in complete, and then the diverse kinds of plant layout have been analyzed. The plant format layout, its most important goals work in progress, want for producers to have a nicely-designed practical plant layout in an effort to be capable of transfer from one line of product to any other with out major changes. It has turn out to be mandatory to have efficient plant format for nicely-prepared plant layout to utilize the primary assets in the employer.

Keywords: Plant Layout, Environment, MSME, Material Management.

Abstract: Green Supply Chain Management (GSCM) has seemed as an environmental innovation which integrates environmental worries into supply chain control. GSCM has obtained popularity with every instructional and practitioners. The reason of the paper is to in short assessment the present day-day literatures of the GSCM and moreover determine the brand new path location of this developing region. A precise assessment is used to type out the literature and increase the studies route of the study. The overview is focused on improvement of GSCM in a evolved and growing international places including all of the ones researchers which is relevant to environmental and social sustainability toward operation management and the supply chain. It suggests that lack researches to check the adoption and implementation of GSCM practices in particular in growing international locations which incorporates Malaysia. Thus, the authors carry in advance a proposed research course on GSCM adoption and implementation in Malaysia's manufacturing industries.

Keywords: Green, Environmental, Supply chain, Management, MSME, Waste.

Abstract: With the growth in the android market, there is a significant increase of apps with malicious activities. Ac- cording to ZDNet, 10-24% of apps over the Play store could be malicious applications. Over the layer, these apps look similar to any other standard app, but they impact the user system in harmful ways. The current methodologies to detect malwares are resource heavy as well as exhaustive, yet fail to compete with the pace of new malwares. So, We tried to approach this Problem using Machine Learning Techniques and developed a model to predict an Application for potential Malware risk.

Keywords: Android Permissions, Malware Detection, Random Forest, Machine Learning

Abstract: Desalination methods are used to convert saline/brackish water to drinkable freshwater. Major processes use either thermal energy (conventional distillation) or pressure energy (Reverse osmosis). Different methods of desalination are discussed and their influence on overall water production has been highlighted. With the increase in appreciation for a green technology, desalination methods using renewable/waste energy are drawing significant attention in recent years. Applying different methods of desalination for coastal areas in Peninsular Malaysia can be very promising in terms of overall public health and economy.

Keywords: Desalination; Freshwater production; waste energy; Reverse Osmosis; Multi-Stage Flashing (MSF); Multi Effect Distillation (MED); MembraneDistillation (MD).

Abstract: In past few decades cable stayed bridge is designed for providing free space between two piers for movement of ships and other water bodies, hence concept of cable stayed bridge is popular in this era. The conceptual design of bridge structure depends upon reliability, serviceability, visual appearance and the cost of structure. Cable Stayed Bridge is the best design example of bridge structure which fulfill all above aspects with great efficiency. In cable stayed bridge shear force taken by cable and compression by pillars, so all possible forces in pillars are stabilized by the main cable, this is main reason cable stayed bridge is designed for long span with economical cost. In this study eight number of models of bridge with the variation of cable position is analysed. The main span of bridge is taken at 250m and side span is 125m including two lanes each 3.5m wide and 1.5m wide pathway is taken for analysis. The prepared geometry of the eight models of cable stayed bridge is analyzed in STAAD.Pro v8i series VI software for various structural properties. The wind zone-IV and seismic zone-V is selected for the detailed analysis. The bridge with the variation in cable position is design in STAAD.Pro software and analyzed for maximum horizontal shear force (Fx), maximum vertical shear force (Fy), maximum horizontal moment (Mx) and maximum vertical moment (My) for side span & main span along without bracing in pylon. The obtained results for different cable profile are analyzed and compared to obtain optimum position. Further results revealed that the cable arrangement as per model M4 gives best result, also bracing is not playing too much role to reduce shear force and bending moment.

Keywords: Bridge, Cable, Compression, Pylon, Stiffness

Abstract: Various composite structures are building now a days but there are some studies on "Analysis of Diagrid Frame Structure", & "Moment Frame Analysis" as obtained through the various literature. In the present study, three models of 234m height (different angle of bracing) based on diagrid structure with identical floor plan (53m X 53m), geometry and other properties except braces and columns at exoskeleton and inner area. The models are prepared by using different angle of bracing i.e. 400, 450 and 500. Architectural plan is prepared on AutoCAD-2012 and STAAD Pro v8i series VI is used to analyze the different models. The wind zone-IV and seismic zone-V are selected for the study. The different models of diagrid structure as per the variation of angle have been compared on storey Displacement v/s H/500 displacement and base shear.These properties are obtained for all the models and results compared to achieve the optimum bracing angle for diagrid structure. It is reveled from the results that model having lower angles are good against wind pressure, further model with higher angles is good against seismic forces because of the less base shear. It is also observed that close cluster of steel brace frame provide more rigidity and results in less displacements at storeys, but close cluster of steel frame cause more weight of steel. However, this study suggest that 45° brace angle provide excellent results in displacement and base shear. It is revealed that 45° angle formed geometry close to equilateral triangle formation for distributing loads more evenly when subjected to lateral loading.

Keywords: Angle, Base shear, Diagrid, Displacement, Geometry

Abstract: It's been noticed that a variety of students apply for all sorts of examinations including institutional, non-institutional and at times even competitive. Some exams are objective in nature i.e. We are dealing with multiple choice questions. Automated scoring is sorted in such situations. Automation of scoring for subjective paper is still something that we are struggling with. In this research paper the main goal is to design an algorithm that automates answer evaluation and provide an automated score using Artificial intelligence technology such that human effort can be reduced while the quality of scoring is maintained. The main idea behind this paper is that of automatic text similarity. This concept is used to check the answer provided by students matched with the correct ones and then scored automatically.

Keywords: Assessment, Subjective, Automated, Score, Evaluation, Examination

Abstract: For any service-providing organizations, churners have always been a big issue. It increases the company's cost and lowers down the profit rate. Commonly, customer deterioration can be identified when they instigate the process of service termination. At the same time, the people and the organizations that provide the data residing on the government databases and the agencies who sponsor the collection of such details are becoming increasingly conscious that extended analytical capabilities also deliver tools that endanger the confidentiality of data records. Nevertheless, using predictive analysis using customer's previous service usage, service performance, spending, and other behavior patterns, the possibility of whether a customer wants to discontinue service can be nailed. In this paper, the writers address the problem of churn analysis, assuming a scenario in which a organization owning confidential databases wishes to run a churn analysis technique on the union of their databases without exposing any unnecessary information. The paper aims to predict whether a customer will churn shortly or not based on the predictive analysis using billing data of a telecom company.

Keywords: Random Forest, Churn , Employee-Churn

Abstract: Induction is a well-structured and systematic orientation program. An informal orientation is given in small organizations by the supervisors. Induction is the process of welcoming, introducing and socializing the new entrants to the existing group of people. It is also called orientation program. It is done to make the new employees feel welcome at the new work place and with his senior employees. Induction program is very important for inculcating team work, team spirit, honest involvement in work and hard work, positive and co-operative attitude towards the work. Working as a responsible worker sense of oneness togetherness all such feeling help the new employee to adjust himself with the job and new working environment and can later on enjoy the job satisfaction and builds high morale. The objective of the study is to Find out the impact of induction program on the new joiners, to find out perception of employee towards induction program, to find out the satisfactory level of induction program of new joiners, to analyze the effectiveness of the induction program towards employee retention, to find out the challenges faced by the employee during induction program.

Keywords: Induction, Training, Team work, Team Spirit, attrition, Career, Knowledge Management

Abstract: This study examines the impact of cultural dimensions-collectivism, individualism, and uncertainty avoidance-on personal financial planning (PFP) behaviors among 200 respondents from Rajasthan, India, across Ajmer, Bikaner, and Jaipur. Using a structured questionnaire, data were collected on savings, investment choices, retirement planning, and digital financial tool usage. Statistical analyses (t-tests, ANOVA, regression, chi-square) reveal that Rajasthan's collectivist culture (M=4.2, SD=0.5) drives family-oriented savings (M=4.0), particularly for milestones like weddings and education, with financial literacy (M=6.5) moderating these effects. Urban Jaipur shows higher individualism and stock investment (M=3.5) compared to Bikaner's traditional context (M=2.9, F(2,197)=5.8, p=0.003). Gender disparities are evident, with males exhibiting greater investment engagement (t(198)=2.9, p=0.004). Digital tool usage is prominent in Jaipur (M=4.0, F(2,197)=10.2, p