bluuebunny/crossref_metadata_2025 huggingface dataset:
Reinventing Work Nature: The Changing Work Landscape in Malayalam Architecture Magazines in the Post-COVID-19 Pandemic Era
Authors: P. F. Previn.
Published: December 2023

The COVID-19 pandemic has profoundly impacted various industries, including the field of architecture magazines. This study aims to analyze the ramifications of the pandemic on the work nature of architecture magazines, with particular attention given to the editorial, business, and mechanical departments. By utilizing a qualitative research approach involving in-depth interviews with experts, this research investigates the changes that have transpired within the nature of work in architecture magazines as a direct response to the pandemic. Many changes have occurred. Findings from this study contribute to a deeper understanding of the changes and transformations within the architecture magazine industry, shedding light on the evolving work nature, strategies, and practices in the post-pandemic era. The insights gained will inform the key players such as stakeholders and advertisers to navigate the multifaceted challenges within the media landscape, reinforcing the resilience of magazine organizations and paving the way for sustained growth in the future.
Emerging Field of Soft Tactile Sensors in 4D Printing Stimulus with Smart Material Nitinol Using Piezo Resistive Technique
Authors: Shree Kant Kavita Kripalani,
Published: December 2023

Enormous benefits of using 4D printing technology referring to added dimension time combining 3D printing technology with high level smart material shape changing, engineering software has currently enhanced its applicability in industry. Triggered by external stimuli 4D printed parts are pleated & unpleated by adding geometric coding & its pressure and resistance is measured by mechanically compliant soft tactile sensor by the physical interaction with environmental dynamics & ambiguity using piezo resistive technique for its electrical resistance distinct electric potential.This paper designs Mechanical walker 4D printed which will be integral part of robotic system helpful for path tracking in automated guided vehicle for automate route system with the use of tactile sensors utilizing haptic touch module.This walker will incorporate the safety intelligence using sensing stimulus by NiTinol providing close proximity interaction procedure.
Collision Mitigation by Dolphin Ant Lion Optimizer Pre-Packet Scheduling Approach
Authors: Raman Dugyala Akhil Khare, K. Selvakumar,
Published: December 2023

A wireless sensor network (WSN) consists of distributed autonomous sensors deployed over a large geographical area. Wireless Sensor Networks (WSNs) are composed of large-scale sensors that are specifically assigned to do particular tasks, with a significant portion of these tasks involving reporting and monitoring activities. Nevertheless, because to the potential expansion of the network to several sensor nodes, the likelihood of collision is significantly increased. This research presents an innovative approach for conducting collision detection and mitigation in wireless sensor networks (WSN). The first step involves conducting a simulation of Wireless Sensor Networks (WSN), followed by the utilization of the Fractional Artificial Bee Colony (FABC) algorithm for the selection of cluster heads. In this context, the network-based parameter is derived by considering factors such as the Received Signal Strength Index (RSSI), priority level, delivery rate, and energy consumption. The Deep Recurrent Neural Network (DRNN) has been modified to suit the task of collision detection. The training of the deep recurrent neural network (DRNN) is conducted via the Lion Crow Search optimizer (LCSO). Following the completion of collision detection, the subsequent step involves the implementation of a collision mitigation process utilizing a pre-scheduling technique known as Dolphin Ant Lion Optimizer (Dolphin ALO). In this context, the evaluation of fitness encompasses many factors related to collision mitigation, including energy consumption, Sleep Index (SI), delivery rate, priority level, E-waste management, and E-save measures. The approach presented in this study demonstrated superior performance in terms of energy consumption, throughput, Packet Delivery Ratio (PDR), and collision detection rate. Specifically, it achieved the least energy consumption of 0.185, the greatest throughput of 0.815, the highest PDR of 0.815, and the highest collision detection rate of 0.930.
Indigenous Knowledge Associated with Maternal Health and Process of Child Birthamong the Hajongs of Dhemaji District
Authors: Kousik Suman
Published: December 2023

Despite the amazing advancement in modern allopathic treatment in pregnancy, traditional health care practices have always been used by indigenous ethnics of the world, including the tribal people of India.Their knowledge for the traditional treatment of reproductive health especially pregnancy can be attributed to the abundance and rich diversity of medicinal plants in their habitat.Their wide knowledge of surrounding diverse ecology brings to work for their benefit in a very best way,among which ethno medicine is one .noticeable and valuable knowledge which need special attention. Generally it is believed that childbirth is a normal component of life such as sexual maturation and pregnancy surrounded by cultural,social,ethical and religious considerations.The status of reproductive health is widely varied depending on the prevailing practices of the individual and community at large.The environmental factors and usage of traditional knowledge, beliefs and taboos are also responsible for determining the reproductive health status of any society. The knowledge of the intimate relationship between man and plants in his immediate surrounding has been passed mainly through tradition(Jain,2004).Health is considered as one of the most important parameters in peoples’ life.Social and sexual stratification within societies act as important determinants of health of people in general and that of women in particular.Physiological differences along with gender inequality in societies play a major role in determining the health outcome of a population more particularly that of women.
Comparative Analysis for Detecting Malicious packets in LAN Network using Bagging and Boosting Techniques
Authors: B. Rosiline Jeetha A.Vinitha,
Published: December 2023

The security is the important one in sharing the data through the network. The intrusion detection system helps to classify the data as the normal or anomaly by using the machine learning algorithms. There is the large pool of machine learning algorithms which helps to find the anomaly.  The algorithms have to find the connection that is normal or abnormal. The attacks are classified into four categories. Using the machine learning algorithm, the prediction is done to classify the packet as the normal or anomaly. The dataset used in this paper is communication of the LAN network which is happened in the very sensitive environments like military and Airforce. Various models are used to predict the anomaly but the bagging performs well in predicting the anomaly. There are various features associated in the dataset which helps to classify the network connection. The algorithms like adaboost was done with 10 iteration and the time for execution is 1.55 seconds and the accuracy are 94 %, bagging the time taken to execute the algorithm is 2.27 seconds, accuracy is 99%. Among these two algorithms the bagging performs well in predicting the abnormal data. Totally 42 attributes have been taken for the training and the testing purposes.
FPGA implementation of KNN Algorithm-Based Prediction for DPWM Methods
Authors: T. Anitha, M. Arulaalan P. Jegadeeshwari,
Published: December 2023

This paper presents the prediction of the DPWM methods using the FPGA device. For the sake of prediction, the parameters such as Clocking frequency, switching frequency, positive duty cycle value, and negative duty cycle value are considered by taking 23 samples of the real-time results obtained for the DPWM techniques. Based on the dataset, the parametric values are fed into the KKN algorithm to predict the suitable DPWM technique by identifying the K-nearest neighbor. The proposed KNN algorithm for the DPWM technique prediction is developed using the VHDL code and synthesized in the FPGA board for real-time validation. Also, the ASIC IC layout design for the proposed method is generated using the Cadence EDA tool.  The performance analysis for the power, area, and delay are evaluated using the Xilinx and Cadence Tool.
Experimental Investigation and Comparison of Natural and Forced Convective Heat Transfer Enhancement Using Water -Cuo Nano Fluid
Authors: Ravi Kiran Mudidana, I. N. Niranjan Kumar Neelapu Madhu Latha,
Published: December 2023

Free and forced convective heat transfer along a vertical cylinder immersed in water– CuO nanofluid for numerous concentrations (0, 0.05, 0.1, 0.15, 0.2vol %) below consistent heat flux circumstance turned into investigated experimentally with and without vibrations and compared the effects. The vibrational movement is acquired by way of placing vibratory motor beneath the experimental setup. The accelerometer is used to measure the vibration frequencies 100HZ-220HZ. Thermal stratification become discovered out of doors the boundary layer in the ambient fluid after steady-state condition is done as the fluid temperature is going on growing alongside the axial course. It is found that the temperatures of the cylinder and the fluid increases alongside the axial route and the fluid temperature decreases inside the radial route. Experiments had been conducted for various heat inputs (30 W, 40 W, 45 W and 50 W) and quantity concentrations and determined that the addition of Copper oxide nanoparticles as much as 0.15 vol. % complements the thermal overall performance and then the further addition of nanoparticles ends in deterioration. The most enhancement in the free convection (without vibration) i.e., the heat transfer coefficient is 478.4214 w/m2 k at 0.15 vol. % and in forced convection (with vibration) i.e., the heat transfer coefficient is 489.4614 w/m2 k at 0.15 vol. %. Thus it is observed that for the same heat input, the heat transfer enhancement is greater for forced convection in comparison to free convection due to vibratory impact.
Race and Utilization of Dental Care
Authors: Akarsha Singh Multani Riddhi Chawla,
Published: December 2023

Racial discrimination in healthcare has been associated with suboptimal utilisation of dental services which may be linked to inequity in healthcare. Discriminatory behaviour of a healthcare professional could lead to a nocebo effect and a decrease in the oral health related quality of life. Colonialism could be to blame for historically segregating various races according to skin colour, language barriers, religion and socioeconomic status. But continual of such behaviour in the modern era has led to dehumanisation, where the ideal treatment plan may not even be informed to the patient, because the healthcare professional(s) assume that the patient may not / may not be able to avail such services, which results in doubtful obtainment of consent. Also, the lack of dentists belonging to discriminated races also contributes to non-attendance and/or non-availability of dental services for vulnerable patients. Cultural differences among the races, with regards to the importance of dental preventive care, oral hygiene maintenance and individual’s dependence on family heads for consent, could result in lack of compliance from patients despite correct advice from dentists. In conclusion, intercultural and international education are necessary components of a dental curriculum. Healthcare professionals need to be trained in remote and international areas in order to imbibe empathy and be respectful towards other races.
A Study on Role of Financial Planning and Forecasting in Organizational Growth and Development
Authors: Sharma Simi
Published: December 2023

The group is made up of a number of individuals who must cooperate in order to accomplish the stated goals. The business must create and present a strategy that outlines the direction and establishes goals for this reason. An estimate's purpose is to reveal what resources might be required for the business to effectively implement its strategy. Organizations can manage liabilities, investment possibilities, and cash flow with the aid of financial planning. Setting objectives, forecasts, resource requirements, and other indicators in order to achieve them within a reasonable budget is the process of financial planning and forecasting. The projections show how much money the company will need from investors or consumers to meet its strategic goals. One component of management accounting, which encompasses all facets of financial reporting having data on assets, liabilities, and financial results, is corporate finance. The importance of planning and forecasting for Indian multinational corporations is the topic of the present study. The research was conducted based on a survey of 200 employees from the finance departments of ten major MNCs with offices in Pune and Mumbai. The study's findings suggest that Indian multinational corporations (MNCs) are eager to improve their financial projections and planning so they can make better choices that will help them reach their objectives.
Factors Impacting Preference to Generic Medicines in India
Authors: Shripad Joshi Nitpal Singh Chug,
Published: December 2023

Recently Government mandate was issued in India, which asks physicians to prescribe only generic medicines. However, the implementation of the mandate is facing challenges from different fronts. Meanwhile it is important to understand if people in India prefer generic medicines over branded medicines. The main aim of this paper is to check the attitude of common people in India towards generic medicines, their perception of government initiatives and their impact on preference to generic medicines. A structured questionnaire was adapted from past studies and used to collect responses in Pune, India. The data was analyzed in Smart PLS 3.0. The findings suggested that attitude towards generic medicines and perception of government role in encouragement of generic medicines both have significant impact on Preference to generic medicines in India.
Impact of Hybrid Work Culture on Organizational Effectiveness
Authors: Joe Cajetan Lopez Gazala M. Khan,
Published: December 2023

The objective of the present research study is to identify impact of hybrid work culture on organizational effectiveness. Understanding their effects on worker productivity, engagement, and overall organizational performance is essential given the growing popularity of remote work arrangements and the advent of hybrid work models. To learn more about how 300 top-level managers from different IT organizations view remote and hybrid work arrangements, a cross-sectional survey was conducted with its sample. The respondents evaluated how productive they felt overall while working remotely, how much they felt less distracted and more focused, and how satisfied they were with their existing work arrangement. The results of the study show that remote workers are more productive than those who work on-site. Additionally, there is a positive association between employee engagement and both remote and hybrid work arrangements, demonstrating that these flexible work models have a beneficial effect on employee engagement.  The study underscores the value of taking into account remote and hybrid work arrangements in the IT industry and indicates the potential advantages they may have for organizational growth and development. The study's conclusions provide insightful advice for businesses looking to create flexible, motivated workforces and adjust to the changing nature of the workplace.
A Comparative Study of Data Hiding Techniques for Different Image Categories
Authors: Hem Priya Fazila Rafiq,
Published: December 2023

The study focuses on enhancing the perceptual appearance of shortened pictures that contain concealed content within them. It proposes a two-phase data concealment approach that integrates natural visual abilities to achieve this enhancement. The context in which this study is conducted is in intelligent capitals, where the Internet of Things (IoT) plays a significant role in gathering various sources of visual data for enhanced administration. When transmitting data over a public network, safety concerns are crucial. To address this, the study introduces a unique information concealing procedure for picture decompression using Absolute Moment Block Truncation Codes (AMBTC). AMBTC is utilized as a means to improve bandwidth utilization while satisfying safety requirements. By employing AMBTC, the study aims to maintain the original moments of the image while reducing mean squared errors (MSE) more effectively than with Block Truncation Code (BTC). The study also highlights the importance of being able to restore the original picture after data concealment. However, the amount of recoverable knowledge may be reduced, or additional knowledge might be required for recovery from the stego picture (the image with concealed data) to maintain the ability to revert to the associated stego image. The approach known as Least Significant Bit (LSB) is mentioned, which involves altering the LSB of images to incorporate digital hidden information into the host picture. This technique does not require additional information for restoration and recovery, but it may not fully restore the stego picture to its original state. In summary, this study presents a two phase data concealment approach using AMBTC to enhance the perceptual appearance of shortened pictures containing concealed content. The ability to restore the original picture is emphasized, and the LSB approach is mentioned as a means of digital information concealment.
An EWOA-WTDCNN Model: Effective Whale Optimization Algorithm Incorporating with Weight-Tuned Deep Convolutional Neural Network for Forecasting Indian Crop Yielding Process
Authors: M. Rajasenathipathi K. S. Leelavathi,
Published: December 2023

Field-level crop yield prediction (CYP) is essential for quantitative and economic analysis when developing agricultural commodity plans for import-export strategies and raising farmer incomes. Crop breeding has traditionally been a time- and money-intensive process. To predict increased agricultural output, CYP was developed. This research suggests effective dimensionality reduction (DR) and deep learning (DL) techniques for CYP for Indian regional crops. The three phases of this paper were preprocessing DR and classification. The dataset is first used to gather information about South Indian agriculture. Data cleaning and normalization are then applied as preprocessing to the gathered dataset. Squashed exponential kernel-based principal component analysis (SEKPCA) is then used to perform the DR. CYP, which forecasts the high crop yield profit, is built on a weight-tuned deep convolutional neural network (WTDCNN) with an Effective Whale Optimisation Algorithm (EWOA). According to the simulation results, the suggested strategy achieves greater performance for CYP compared to existing methods with enhanced accuracy.
Artificial Neural Network Based Solar Prediction in Multi-Area Networks
Authors: Sumit Saroha Vinita, Abhimanyu,
Published: December 2023

A clean, readily accessible and renewable energy source is solar energy. The use of photovoltaic panels is a popular trend to harness solar energy for the production of electrical power. Variable generated electricity is a result of solar energy's intermittent nature. An energy management system with a solar forecast module is presented in this study. The main purpose of this study is to apply ANN for verifying and predicting solar energy in India. The output is controlled by an ANN controller. To meet the demands put forward by the Energy Management System (EMS), artificial neural networks (ANNs), a subset of statistical approaches, were selected as the prediction method. Sun rising and sun set times are included in the total of 10 input factors taken into account for solar prediction data. For the EMS to operate properly, there are needs that include accurate forecasting in the short-term prediction horizon. The Mean Square Error (MSE) parameter is used to measure performance, and all findings are implemented in the Python language. This study shows the low RMSE value of that particular area and ANN is an efficient method for this study.
A Study on Brand Loyalty of Consumers Towards Social Media Marketing
Authors: P. Suganya Priya,  Dr. J. Sabitha
Published: December 2023

The study focuses on the brand loyalty of social media marketing. Social media can spread the messages widely to the users, so manufactures chosen this better option to market their product worldwide. Is that everything which are displaying in social media marketing are trustable, whether the consumers are trusting the products. The consumer is satisfied when the product meet their expectations. The brands have created a highest impact to the consumers, many people felt that branded products are the best products. The aim of this study is to analyze there any loyalty towards a brand in social media marketing. Data has been collected through questionnaire method around 80 samples were found valid.
Customer Experience for Corporate Social Business Development Towards Starbucks with Special Reference to Chennai City
Authors: Ms. Durga Devi E, Dr. J. Sabitha
Published: December 2023

The confident experienced customer is a central part of a successful company. This is the acceptance of the Starbucks company customers are more appreciative of their service. This study simulated the rate of Starbucks coffee as a brand vital role in obtaining improved company performance, like sales. The customer is highly satisfied based on their experience to develop a relationship with Starbucks. The research was conducted in which primary data was collected from 150 people who had visited the Starbucks. This study concludes that Starbucks could substantially pay attention to the variables to have profitability in the market. The suggestions given in this study will improve the overall growth of the company. Finally, Starbucks is performing well in terms of performance and it is satisfactory.
Fuzzy Inventory Model with Eco Friendly Package, Carbon Emission, Cap Policy and Life Cycle Assessment Technology
Authors: Dr. M. Bhuvaneshwari, R. Manonmani
Published: December 2023

Environmental sustainability has turn out to be more famous in recent years. It is to observe about environmental interactions to count on environmental declination. In addition, global warming is one of the major threats in our day to day lifestyles. Because of this global warming greenhouse gases takes place .GHG occurs particularly through human activities like combustion of fossil fuels in factories ,power plants etc. Also, it increases carbon emissions that absorb heat energy which is emitted from earth surface. Supply chain sustainability is affecting an employer deliver chain or logistics community and its far often related to an incorporating economic, social and environmental components .This paper investigates that the environmental pollutants  to achieve sustainability  , Green inventory model is used to achieve a minimum carbon emission using fuzzy logic. Fuzzy logic has been majorly used nowadays. It is applied to many fields, from control theory to artificial intelligence .Fuzzy logic is useful for minimizing the total cost, that is to reduce (GHG) emission through logistics activities.
Leveraging IT for the Preservation of Baduy Indigenous Communities: A Digital Strategy by the Culture and Tourism Department of Lebak District
Authors: Okti Andayani, Benyamin Harits, Thomas Bustomi
Published: December 2023

INTRODUCTION: The Lebak Regency Government and the Lebak DPRD in 2001 issued Regional Regulation No. 32 of 2001 concerning Protection of the Ulayat Rights of the Baduy Community. Disturbance to the preservation of the Baduy environment which consists of the natural environment and socio-cultural systems that depend on several factors, these factors are external (originating from outside the community) and internal (originating from within the community).

OBJECTIVE: This research aim to analyze local wisdom in protecting the Baduy indigenous people and determine the most appropriate local wisdom strategy to implement.

METHOD: The method used in this research is descriptive research method and strategy analysis using the Analytical Hierarchy Process (AHP) technique.

RESULT: The results of the study show the dimensions that determine the application of local wisdom in the protection of the Baduy indigenous people by the Lebak Regency Culture and Tourism Office are the dimensions of local knowledge, local values, local skills, local resources, and elements of decision-making mechanisms. CONCLUSION: Strategy for Optimizing Local Wisdom in Protecting the Baduy Indigenous Community, the Lebak Regency Government, especially the Tourism and Culture Office, needs to take strategic steps by referring to digital-based policy strategy patterns by prioritizing the following dimensions: first, the dimension of local wisdom. local resources, second, the dimension of local skills, third, the dimension of local values, fourth, the dimension of decision-making mechanisms, fifth, the dimension of institutional support, and sixth, the dimension of local knowledge.
Customer Attitude In Successful Brand Heritage of High Involvement Products
Authors: Dr. M. Punitha, Mrs. P. Nowroji Osanna
Published: December 2023

The purpose of this study is to analyze the critical role that consumer attitudes play in determining the lasting brand heritage of high involvement goods. The research aims to comprehend the complicated processes that contribute to a brand's legacy by concentrating on items that demand significant customer commitments, both emotionally and financially. The research aims to provide insights into how customer attitudes, which are influenced by factors such as perceived quality, brand history, and emotional resonance, contribute to the sustained success of heritage brands in the realm of high involvement products through a synthesis of theoretical frameworks and empirical analysis. These insights will be provided in the form of a set of hypotheses that will be tested. Not only can marketers strengthen already established brand legacies by gaining a grasp of and capitalizing on these attitudes, but they can also successfully traverse the ever-changing terrain of customer preferences and expectations.
A Study on Perception of Entrepreneurs on Entrepreneurship Development Program
Authors: Vanara Manojkumar B.
Published: December 2023

Entrepreneurship development programs play a crucial role in nurturing and supporting aspiring entrepreneurs, providing them the necessary skills, knowledge and resources to succeed in the dynamic business environment. This study aims to examine the perception of entrepreneurs towards Entrepreneurship Development Programs (EDPs) analyze the relationship between demographic variables of the respondents and their perception of EDPs. The research employed a random sampling method to select participants from the target population. Primary data was collected through a survey administered to 100 respondents who planned to enroll in an EDP program. The data was analyzed using frequency analysis, chi-square testing, and the two-tailed t-test to understand the perception of the respondents towards EDPs. The findings of this study will provide insights into the perception of entrepreneurs regarding EDPs and identify any significant associations between demographic variables and their perception of the programs. The results will contribute to the understanding of how entrepreneurs perceive the effectiveness and relevance of EDPs in their entrepreneurial journey.
Some Commutativity Conditions for Rings
Authors: Reddy Y. Madana Mohana
Published: December 2023

During the last 55 years there have been many results concerning conditions that force a ring to be commutative. These results were stimulated by Jacobson’s famous result and were extensively devel- oped by Herstein. This paper will survey the area by organizing the results according to whether they come from variations on Herstein’s conditions, depend on general polynomial conditions, depend on the presence of a derivation, or whether a ring has special properties that make commutativity more easily accessible. Finally, the most recent conditions concern product sets and lead to results in a new area of inquiry.
Some Studies on Commutative Rings in Commutative Algebra
Authors: Reddy Y. Madana Mohana
Published: December 2023

In ring theory, a branch of abstract algebra, a commutative ring is a ring in which the multiplication operation is commutative. The study of commutative rings is called commutative algebra. Complementarily, noncommutative algebra is the study of noncommutative ring where multiplication is not required to be commutative.
Enhancement and Classification of Satellite Image using DWT and Fuzzy Logic
Authors: S. Ameena, B. Yuvarani, G. Hema Chandana S. Abdul Malik, S. Vali Babu,
Published: December 2023

The image taken by a satellite can be enhanced in terms of its resolution based on the interpolation can be obtained by DWT. An intermediate stage for approximating high level is proposed here. The variation in detection approaches for SAR images are done by using image fusion strategy and novel fuzzy clustering algorithm. To retrieve an enhanced image, wavelet fusion directives are considered to combine the wavelet coefficients. A fuzzy C-means algorithm is proposed for identifying the altered and unaltered regions in the combined difference image.
Low Power Wallace Multiplier Using Gate Diffusion Input Based Full Adders
Authors: A. Swapna Bharathi, G. Sowjanya N. Mageswari, N. Vinod Kumar, M. Venkatesh,
Published: December 2023

Now a days, in CMOS circuits leakage power is becoming more and more remarkable in power dissipation. Digital signal processing performs many functions including multiplication which is the prominent one. In the design of energy efficient processor multipliers play a key role in which it determines the DSP processor efficiency. A 4*4Wallace tree multiplier employs gate diffusion input technique to minimize leakage power. It is designed by adopting one bit full adder. In the proposed method, full addersare replaced by4*4 Wallace tree multiplier. Power dissipation majorly occurs in  full adders. Hence, minimizing power dissipation in full adders will shrink dissipation of power in multipliers. Here, the proposed work diminishes the leakage power in comparison with the existing method.
Experimental Investigations on Cylindrical GFRP Composite Pipes under Compression Loading
Authors: Shaik Javeed, M. Nagaraju, K. Sagar Kumar Gemaraju Srikar,
Published: December 2023

In a wide variety of aerospace applications have the mechanical properties of a thin cylindrical shell are important. Thin cylindrical shell structures are used to store a small and large quantity of fluids and solids. Glass Fabric reinforced epoxy composite is used to prepare the thin cylindrical pipes with different diameters and varying thickness of the composite pipes. The additives as glass flakes are added with 5%, 10% and 15% of the resin content in the matrix. The rolled composites specimens are prepared with the stainless steel (SS) mould. Experiments are test on Universal Testing Machine under lateral compression test to study the breaking load and compressive strength of the specimens. The failure modes are also observed.
Investigation of Nozzle Shape, Number of Nozzles and Nozzle Inclination Angle and Its Optimization
Authors: Nitish Kumar Gautam, R. J. Patil Sandeep S. Patil,
Published: December 2023

A pressure vessel is a container that holds gases or liquids at a pressure significantly different from the ambient pressure. The nozzles were essential for inlet and outlet of liquid. A pressure vessel analysis is critical for its proper operation. In the present work, aspects have been considered regarding position and orientation of nozzles according to stress and deformation obtained. The whole objective is to use FEA simulation, and determine the best design solution. Two different type of nozzles viz. radial and tangential were incorporated. Different number of nozzles and different inclination angle of nozzle were also incorporated to study the effect of nozzle geometry. However, design of pressure vessels is based on solvent extraction process. It is observed that radial nozzle induced higher stress values as compared to tangential nozzle. However, as inclination angle increases, maximum stress values are increasing for pressure vessel with tangential nozzle as compared to radial nozzle.
A Study on Use of E-Wallets: Current Status and Future Challenges in Rural Areas of Telangana State
Authors: Munnaluri Lakshminadh, Hilda Margreat T. Swarna, K. Rajitha, Vemula Anusha,
Published: December 2023

E-wallets are a notion that is rapidly gaining popularity in the age of digitization. The demand for various E-Wallets has increased significantly, especially since demonetization in INDIA. Nowadays, digital payment methods like debit cards, credit cards, net banking, etc. are replacing traditional payment methods like physical cash notes. E-Wallet is quickly raising to the top among accessible digital payment methods for a variety of reasons. The study focus on sue of E- Wallets and its currents status and future challenges in rural areas of Telangana State. The present research aims to investigate the determinants of e-wallet and demographic variable of respondents on use of digital payments. In addition to that, it also assesses the impact of customer’s profession of respondents on the Electronic wallet usage. This paper adopts a quantitative approach to collect data with non-probability sampling using the purposive sampling technique. An online survey was conducted and a total of 163 respondents submitted their answers. The obtained results have shown that continue use of e-wallet is not affected by perceived usefulness (PU) and trust. SPSS was used for data analysis, which included the use of Chi Square. It has to find out the association between the features of the respondents and their impact on e-wallets. The practical implications for the service providers and policymakers from the present findings can be used to develop strategies to gain a sustainable, competitive advantage, and promote continuous intention of e-wallet usage.
Design a Hybrid Algorithm for Data Encryption to Implementation in Database
Authors: Parveen Sehgal Satinder ,
Published: December 2023

In an era where digital data is increasingly prevalent, data encryption has become essential to information security. Because databases usually contain sensitive and significant data and are a popular target for cyberattacks, robust encryption solutions are necessary. This research proposes a novel hybrid encryption method that combines symmetric and asymmetric encryption approaches to safeguard databases. The recommended approach combines the security of asymmetric encryption with the speed of symmetric encryption to provide a dependable and efficient data protection solution. This paper introduces hybrid techniques by combining the two most essential algorithms AES and RSA algorithms with XORed Operation. This hybrid encryption algorithm provides more security as compared to existing hybrid algorithms. The implementation and result are also derived in the paper.
A Review of Coating Methods for Surface Protection
Authors: Saurabh Priyadarshi Md Sarfaraz Alam,  Kumar Jyotiraditya ,
Published: December 2023

For various coating applications, a broad range of coating techniques and materials are available, all of which have the same general goal of shielding a component or structure from mechanical or chemical harm. Reduced manufacturing costs are one advantage of this protective feature since it eliminates the need to fabricate new parts. Hard and rigid metallic alloys, ceramics, bio-glasses, polymers, and tailored plastic materials are among the coating materials that are available, offering designers a wide range of options for long-lasting protection. Many techniques have been developed and studied up to this point, including thermal spraying, sol-gel, micro-arc oxidation, physical/chemical vapor deposition, and electrode position. Despite the benefits that each of these procedures offers, there are always issues that restrict their use. However, by using the advantages of each process in a multi-method coating, there are several ways to address the shortcomings of coating procedures. These coating techniques are contrasted and categorized in this article. Future developments might lead to improved protective properties through the use of increasingly sophisticated coating methods and materials.
Pest Detection Using Image Denoising and Cascaded Unet Segmentation for Pest Images
Authors: P. Radha V. Arockia Mary Epsy,
Published: December 2023

This study proposes a novel approach for pest detection in pest images using image denoising and cascaded UNET segmentation. The proposed approach involves the use of a hybrid neural network RESNET50 with CNN for image dataset training, optimized using Believed Adam Optimization. The images are then preprocessed using a superior MLP model for image denoising, which enhances the image quality and reduces the noise present in the image. The images are then passed through an adaptive UNET architecture for image segmentation, which is based on domain adaptation and semantic segmentation. The cascaded UNET segmentation improves the segmentation accuracy, and the domain adaptation ensures that the model can be applied to new datasets without requiring additional training. The proposed approach achieves a high accuracy rate of 98.5% in detecting pests images. This approach can be used in various applications related to pest detection and management, including agriculture and pest control.
Steering Preferences: Investigating Demographic Influences on Car Buying External Cues
Authors: Vinod Kumar Bishnoi Reetika Bhardwaj ,
Published: December 2023

Purchasing a car is as important for the consumer, as is, purchasing the house. Currently, there has been a growing demand of cars among the different households. The objective of the present study is to analyse the role of demographics on external cues dimension while buying cars. Findings of the study revealed that for both support and accessibility factor and decision influencer factors, results are significant across different age groups and between gender indicating that the respondents have divergent views for both the factors of external cues dimension based on age groups and gender. For decision influencer factor, demographics i.e. educational qualification and occupation offered significant results highlighting the variation in the opinion of consumers based on these demographics.
Energy Sharing Mechanism of a Higher Order Protein System
Authors: S. Beauno R. Carolin,
Published: December 2023

The dynamics of the alpha-helical protein chain with higher order nonlinear protein system is explained. To study the dynamics of the corresponding model by generating the equation of motion using sine-cosine method. By using this method, we study the nonlinear soliton excitation and the effect of inhomogeneity in the system. The growth of modulation instability is analysed in the existence of a small peturbation.
Impact of Website Quality on Customer Satisfaction and Purchase Intention in the E-Commerce Sector in India
Authors: Nitika Aggarwal Sanjiv Mittal , Sanjay Dhingra,
Published: December 2023

E-commerce is on the rise both in India and abroad as the economy is becoming digital and consumers are using online platforms to search for information and for making purchases of different types of services and products. Retail e-commerce sales were 5.2 trillion Dollars approximately worldwide in 2021. It is forecasted that this figure will grow by 56 percent over the next few years, and reach 8.1 trillion dollars by 2026.  (as per Global retail e-commerce sales 2014-2026, Published by Stephanie Chevalier, Sep 21, 2022). Websites are an important component of the rapidly growing E-commerce market. In the overall marketing communication mix, the websites complement the direct selling activities, helps to improve the corporate image and provide basic information about the company to its customers using an online platform. There is a need to study the measures of Website designs which help to improve their quality as well as the customer satisfaction towards the website design of the company, which may also lead to purchase intention of the consumer. Customer reaction to the website has been studied by the author taking into consideration the Amazon India and Flipkart websites as they are comparable names. Study was conducted in Delhi-NCR and data was gathered from 658 respondents out of which 300 were from Delhi 358 were from NCR covering the areas – Gurgaon, Noida, Ghaziabad, Faridabad etc. The construct used to collect the data was a standard construct – WebQualtm, a measure of Website quality. 12 dimensions of WebQualtm were taken into consideration to study the satisfaction of customers towards the Website Quality of Amazon and Flipkart. Another linkage that was studied was whether this customer satisfaction towards Website quality led to purchase Intention among the Customers or not. PLS-SEM was used for analysing the hypothesized relationship among the constructs and was found that Website Quality significantly influenced the Customer Satisfaction which in turn leads to Purchase intention of the customer.
Navigating Legal Disparities: Women's Rights in India
Authors: Dr. Pooja Srivastava
Published: December 2023

The genesis of property rights can be traced to how the human species evolved into a civilized society, bringing with it a variety of cultures and ways of life that were rooted in religion. Emerging into rights to property for Hindu, Christian, Parsi, Muslim, and tribal women. The comparative thought-provokingideas about women from various religious sects is limited to the traditions and theological context in which they have lived for their overall achievement in shaping a civilized society.The key tenet is building the groundwork for their acknowledgment by granting them property right since that right center on their position and personal security, and that idea was developed through the creation of a law for property rights. The woman is the primary support for creating a family as an independent social unit. Since the beginning of time, women have played the primary role in raising a family. Of course, men have been an equally important limb and pillar, but without giving women the same legal rights to property as men, laws won't serve their intended purpose. We are legally required to treat everyone equal under our constitution, and this purpose can be served by including property rights. The preamble of the Indian Constitution is built on the dignity of every human being, including women, men, and children.
Enhancing IoT Data Security through Multilayered Approach: Chaotic Map, DNA Sequencing, Blockchain Intergration
Authors: Amanbir Singh, Sonal Sood
Published: December 2023

The rapid proliferation of the Internet of Things (IoT) devices has ushered in an era of unprecedented connectivity, yet it also poses significant challenges in terms of data security and privacy. In this research, a robust and innovative approach is proposed to address these challenges by introducing a multi-layered security model integrating three powerful technologies: chaotic maps, DNA computing, and block chain technology to fortify IoT data protection. The key objective of proposed technique is to offer security to data at multiple levels while minimizing the Encryption Time (ET) and Decryption Time (DT). In the proposed work, two types of inputs i.e., textual data and medical image data is taken upon which proposed technique is implemented. The key innovation lies in the generation of binary keys from chaotic maps, making it different from traditional chaotic key methods, thereby establishing a unique and robust foundation for encryption. Furthermore, to enhance the encryption process, a dual layer of security is implemented through DNA sequencing and blockchain, ensuring an unprecedented level of data integrity and confidentiality. Notably, the blockchain phase utilizes SHA-256 for generating hash values, fortifying the blocks with an additional layer of cryptographic strength. This novel approach offers a comprehensive and sophisticated solution, effectively mitigating security concerns in IoT ecosystems. By combining the power of chaotic maps, DNA encoding, and blockchain technology, proposed model stands at the forefront of IoT data security, providing a resilient defence against contemporary and future threats.The performance of proposed approach is examined and validated in terms of ET and DT in MATLAB software. Simulating results revealed that proposed model is outperforming other similar models by attaining lowest ET and DT time for both text and image data.
Predicting Student Placements Using Machine Learning Algorithms
Authors: Malik Suhail Hassan, Dr. Anmol Goyal
Published: December 2023

Predicting student placements is a critical task that can significantly impact the career trajectories of graduates and the efficiency of educational institutions' placement processes. In this research work, we investigate and study the use of machine learning techniques. to predict student placements using a comprehensive dataset containing attributes such as well as factors including age, gender, stream, internships, CGPA, lodging, and prior shortages. The study commences with data collection and preprocessing, ensuring data integrity and suitability for machine learning tasks. The process of enhancing features is used to extract meaningful insights from the data, and exploratory data analysis provides valuable visualizations and descriptive statistics, revealing underlying patterns and trends. Four machine learning algorithms, namely Decision Tree, Random Forest, XGBoost, and K Nearest Neighbors (KNN) classifiers, are employed for model training. The models are evaluated using various performance indicators to evaluate their ability to forecast, such as accuracy, precision, recall, and F1-score capabilities. Results indicate that the Random Forest Classifier stands out as the most effective model, achieving the highest accuracy and F1-score among the evaluated models. It demonstrates robust predictive capabilities and accurately classifies students into placed and not-placed categories. The study underscores the significance of predicting student placements, benefiting both educational institutions and students in making informed decisions. By understanding the factors influencing placement outcomes, institutions can optimize their placement programs, providing better career opportunities for students.