bluuebunny/crossref_metadata_2025 huggingface dataset:
Performance of 9T SRAM Cell using Boolean algebra and Arithmetic Operations
Authors: Pooja Lohia, R. K. Chauhan Sunita Kumari Sah,
Published: December 2023

This work aims to implement the Boolean and Arithmetic functions with Static Random Access Memory (SRAM) Cell made by nine CMOS Transistor for In-Memory computation. Normally the Von-Neumann architecture is used for current computing system where data and programs are placed in a single memory by sharing and a single Bus is used for memory access, ALU and for controlling of program. This results in minimizing the efficiency of computing when there is high eminence on Data tactless applications. The Von-Neumann architecture is made more efficient by Computation in Memory (CIM) architecture which overcome the drawback of Memory barrier, the power utilization and in the resemblance of wall structure. Here is presented an inside the memory computation method and co-designs of arithmetic circuitry using 9T SRAM cell. The Boolean algebra and Arithmetic operations are illustrated with 9T SRAM cell designed by CMOS technology in 180 nm process. The Boolean algebra for AND- NAND, OR-NOR logic gates are illustrated using 9T SRAM cells with the Latch type sense amplifier to verify the capability of computation in Memory of 9T SRAM cell. To illustrate the arithmetic circuit an array of memory has been made by the 9T SRAM cell and proposed sensing amplifier which is latch type and finally is mapped with circuit of half-adder and half-subtraction.
Bridging the Information Gap with Buddy Network: Strategies for Cold Start in Recommender Systems
Authors: Malu Namrathaa
Published: December 2023

In the realm of modern digital entertainment, the concept of a "Buddy Network" emerges as a central theme when granting access to contacts during the installation of Over-The-Top (OTT) platforms. This permission serves as a pivotal juncture where user experience and data-driven recommendations converge. By establishing connections between user accounts and contact numbers, OTT platforms unveil a wealth of insights encompassing viewing history, user ratings, personal details, and age. Age, a critical variable within this buddy network, plays a significant role in identifying potential "Buddies" among a user's contacts—individuals of similar ages who are predisposed to sharing cinematic preferences. This Buddy Network principle forms the foundation for a sophisticated, personalized recommendation system. By computing average movie ratings based on buddy input, the platform curates tailor-made movie suggestions, directly sourced from within the user's Buddy Network. This intricate process transforms the seemingly routine permission request into a dynamic tool for enriching the user's cinematic journey. Seamlessly blending technology and social dynamics, it offers pertinent and relatable movie recommendations, enhancing the user's digital experience by strengthening the bonds within the Buddy Network and bridging the information gap for the Cold-start problem in the Recommender System.
Influence of Punch Servo Path on Elliptical Hole Flange Forming
Authors: Yu-Teng Zhang, Tsung-Chia Chen Tsui-Er Lee,
Published: December 2023

This study investigated the process of forming an elliptical hole flange by using a SPFC780Y high-strength steel sheet with a material thickness of 1 mm. Three servo motion paths on a servo press were compared with a traditional crank motion path on a conventional press. Four punch motion paths were analyzed, namely a crank motion path on a conventional press (type T), a servo motion path with a 3-mm downward motion followed by a 0.5-mm upward motion (type S3), a servo motion path with a 2-mm downward motion followed by a 0.5-mm upward motion (type S2), and a servo motion path with a 1-mm downward motion followed by a 0.5-mm upward motion (type S1). The finished products of an elliptical hole flanging process were evaluated in terms of thickness, force-displacement, stress, strain, and springback. The results reveal that the products produced using the evaluated servo motion paths were superior to those produced using the evaluated crank motion path.
Importance of Blogging in Language Teaching
Authors: Usmanova Dilnoza
Published: December 2023

It is widely acknowledged that teachers should support student autonomy and encourage learners to develop foreign language skills outside the classroom to keep learners motivated enough to show the possibility of using languages in the immediate future outside class. Incorporation of technology in classrooms is considered one of the effective tools that brings a lot of opportunities and fun in language teaching and learning. However, applying technology in language teaching shouldn’t be only fun. Following paper introduces how blogging can be used as an instructional tool for language learning and teaching considering several important basic benefits such as effects on building intercultural competence, enhancing student interaction and communication , improving basic language skills, boosting learner motivation and language authenticity, as effective assessment technique and a great learner autonomy builder. Wrede (2003) states that if teachers want students to become autonomous, creative, and cooperative individuals, educational institutions must actually allow them to practice exactly these skills by incorporating blogging into curriculum since it fosters dynamic motivation for learning through authentic practice of language learning.
Numerical study on effective thermal conductivity of polymer composites with randomly distributed multi-fillers
Authors: Van Tuyen Vu Ich Long Ngo,
Published: December 2023

This paper presents a numerical investigation of the effective thermal conductivity (hereafter, ETC) of polymer composites with randomly distributed multi-fillers. A finite element method combined with a user-defined code was proposed to predict the ETC under various effects. Consequently, the polymer composite structure was well generated for single, hybrid, and particularly triple fillers. The numerical results were thoroughly validated by comparing them with the prediction models, as well as numerical and experimental results in the literature. The highly complex behavior of the ETC in terms of effective parameters is first explored. The ETC of the triple-filled polymer composite improves compared with single and hybrid fillers only if the different filler‟s TCs are used. Otherwise, the ETC slightly reduces if the filler‟s TCs have the same value. The results obtained are very useful in understanding the complex behavior of the ETC of polymer composites with multiple fillers.
Effectiveness of governance mechanisms on bank financial performance in a changing world: evidence from a Small Island Developing States
Authors: Jugurnath Bhavish Deeljore Rudranee Devi,
Published: December 2023

The unique Coronavirus has speedily spread all over the world distressing all economies around the globe. This epidemic is not simply a health issue because it has affected the whole world in diverse facets due to the governmental measures taken to combat against it such as lockdowns, movement restrains, and social distancing strategies. It has also caused substantial damage to each part of the banking system as well as its performance where Small Island Developing States (SIDS) is not an exception. Thus, this study contributes to the limited literature by providing the first empirical evidence on the impact of covid19 on the role of internal and external Corporate Governance (CG) mechanisms in relation to bank performance (BP) in a SIDS. The purpose of this study is to evaluate the effectiveness of governance mechanisms on BP during pandemic and also look for whether the covid19 as a moderator has affected the CG variables in relation to BP. To answer the research questions, all the 18 banks operating in Mauritius from the years 2020-2022 are considered. Mauritius because it is one of the strongest economies with a ranking of second among SIDS. As per the result of this study, there is sufficient evidence to conclude that CG mechanisms are effective as some explanatory variables such as OI, AUDC, and CEOD are helpful in anticipating BP as measured by ROA, ROE, and NIM during the pandemic. Therefore, Ho is not rejected. That is, governance mechanisms are effective in relation to BP in this changing world. The evidence suggests that the adherence to CG mechanisms lead to some improvement in performance. Therefore, it is possible to minimise the adverse impact of covid19 on BP through effective governance.However, the result from moderated multiple regression (MMR) has confirmed that the insignificant effects of BIND, BDIVER, and BoSIZE on performance of banks recorded from both fixed effect model regression and dynamic panel data estimation results were due to covid19.In order to curtail the adverse effect of covid19 pandemic, the organistaion and board should recognise opportunities and build new strategies to acclimate to the uncertainties caused by the covid19 pandemic. Banks should also adhere effectively to the code of CG and not just to fulfill the legal requirements.
Covid-19 on Fb: Highlighting Psychosocial Wellness of College Students in the Philippines
Authors: Renelda P. Nacianceno Joel A. Ciriaco,
Published: December 2023

The study examines the impact of viewing COVID-19-related information on participants' physical, intellectual, emotional, environmental, occupational, social, financial, and spiritual dimensions on Facebook. Regardless of quarantine experience, most participants believed in the information they viewed, regardless of classification. The effects of viewing on spiritual, environmental, and occupational dimensions were alarming. Participants with ailments and those who experienced quarantine were similar to those who spent 1-12 hours daily on Facebook. The physical dimensions were similar for both those with and without ailments. The belief in the information and classification of belief had a significant relationship with the physical, intellectual, emotional, environmental, occupational, social, and financial dimensions but not with the spiritual dimension.
Optimal Energy Extraction of Non- Buoyant Type Wave Energy Converter Using Grey Relation Analysis
Authors: Nagulan Santhosh
Published: December 2023

The wave energy converters involved in ocean wave energy harvesting are subjected to various natural calamities and thus obtaining the optimal energy extraction is a challenging task. It is normally noted that the energy extraction is maximum when the frequency of the ocean waves matches the natural frequency of the device. The natural frequency of the converter can be modified by tuning its dynamics, but it is intricate to perform in the ocean environment, so an alternative method should be adopted. In this work, the optimal electrical damping is performed to modify the frequency of the system to match the natural frequency of the incident wave. The grey relation analysis is carried out to find out the optimal damping value. Further, the obtained results are subjected to experimental verification and it is observed that the energy extraction is significantly improved. This approach is less complex and effective when compared with the other methods.
Consumer Involvement and Purchase Pattern of Organic Food Products in Chennai City
Authors: M. Thaiyalnayaki K. Amudha,
Published: December 2023

The behavior of individual consumers and their transcendental involvement in the purchase reveals how they see the identification of product needs, the risk involved in the purchase, the values of the product, its perceived prestige, and the satisfaction of the product. This study's primary goal is to determine how customer involvement affects the way that organic food items are purchased. Using a purposive sampling technique, the researcher gathered 614 samples. To evaluate the hypotheses, the researcher used confirmatory factor analysis, linear multiple regression analysis, and a structural equation model. It is discovered that consumer involvement in the purchase of organic food goods is not a unique phenomenon, but rather the result of a combination of five significant and predominate variables, including the product requirements for purchasing organic food products and the associated risk. The study also concludes that customers of organic food goods are highly motivated to participate in the decision-making process when making purchases because of the perceived prestige and value of the product.
Using a Level-based RPG Educational Game to Enhance Students’ Knowledge of Mathematics
Authors: Zi-Xuan Ding Ting-Sheng Weng,
Published: December 2023

This study utilized RPG Maker MZ to develop a simulated mathematical educational game that enables learners to immerse in the digital game while also acquiring knowledge about all units in Mathematics 3A, such as radian measure, trigonometric function graphs, trigonometric angle sum and difference identities, superposition of sine and cosine functions, exponential function, logarithms and its laws, logarithmic function, and plane vector operations, inner products, and applications. The said mathematical educational game aims to increase students’ learning interests and assist them in achieving better learning efficiency. Ninety-three second-graders from a vocational senior high school participated in the study and were given questionnaires to fill out afterward. This study discovered that mathematical educational games enable students to not only go through a variety of situations and experiences but also improve their learning efficiency and their ability to think about the problems around them through virtual life situation-based games. This type of interaction can assist students in better understanding and mastering the flexible application of mathematical concepts and knowledge in a variety of life situations.
Dynamical Model of Influenza Disease with Vaccination
Authors: Puntani Pongsumpun Thurdkwan Changpuek,
Published: December 2023

Influenza disease is generally found in Thailand. It is a viral infection of the respiratory system, including the nose, throat, and lungs. It can be contacted between people. The influenza transmission model with vaccination is considered in this study. We separated the human population into susceptible, exposed, infectious and recovered human populations. We analyze the dynamical model by using standard dynamical modeling method. The equilibrium states are found. The basic reproduction number is found. The local stability for each equilibrium states are determined. The numerical simulations for our dynamical model are shown.
Political Corruption and Its Impact on the Rule of Law: A Comparative Analysis of Countries with Islamic Laws
Authors: Mahmoudi Narges
Published: December 2023

The article "Political Corruption and Its Impact on the Rule of Law: A Comparative Analysis of Countries with Islamic Law" examines the relationship and impact of political corruption on the rule of law in countries with Islamic law. The primary objective of this article is to investigate the role and influence of political corruption in establishing the rule of law in these countries.

The research methodology employed in this study is content analysis, which examines the impact of political corruption on the rule of law in countries with Islamic law through the study of legal texts and political documents. In this research, the level of political corruption in countries is considered as an independent variable using secondary data from Transparency International and Universidad Passau, and its impact on the rule of law is examined through qualitative research methods by studying case studies and analyzing legal and political relationships concurrently.

The research findings indicate that political corruption leads to a violation of the rule of law in countries with Islamic law. Moreover, this article demonstrates that political corruption has a significant influence on the rule of law and the effectiveness of the legal system in these countries. Therefore, reducing and controlling political corruption in these countries is crucial for improving the rule of law and strengthening the legal system.
Navigating Sustainability: Social Entrepreneurship, Government, and Eco-Innovation in Malaysia
Authors: Anja Juliah Abu Bakar Salina Daud, Wan Noordiana Wan Hanafi,
Published: December 2023

Eco-innovation helps social entrepreneurs find solutions to the environmental problems they face. The aim of this research is to analyse the effect of social entrepreneurship on eco-innovation. This study also examined the role of government intervention as a moderatingvariable to eco-innovation. The sample in this study was the social entrepreneurs listed in the Malaysian Global Innovation and Creativity Centre, with a total of 193 respondents. The data were obtained using a cross-sectional approach, with questionnaires distributed online. The results of the study showed that social entrepreneurship has a significant positive effect on eco-innovation. Government intervention has a significant positive effect on eco-innovation, and government intervention moderated the positive relationship between social entrepreneurship and eco-innovation. The results of this study give social entrepreneurs real-world evidence of how critical eco-innovation practices are. This study provides numerous managerial-level instructions for social entrepreneurs who wish to adopt eco-innovation methods by utilising the government's role within an organization.
A Bibliometric Analysis of Blockchain Research in Supply Chain Management
Authors: Deepak Hajoary, Raju Narzary, Rinku Basumatary
Published: December 2023

Blockchain technology has garnered increasing research attention because of its potential to transform supply chain management (SCM) through enhanced transparency, security, and efficiency. This study performed a bibliometric analysis of the emerging body of literature on the intersection of blockchain technology and SCM to elucidate the intellectual structure, knowledge diffusion patterns, and research trajectories within this field. A dataset of 2,500 English-language articles published between 2020-2023 was retrieved from Dimensions and analyzed using VOSviewer and Bibliometrix. The findings revealed that the research landscape focused predominantly on technical topics grounded in computer science, with an emerging interest in supply chain applications. Bibliographic coupling revealed clusters of literature on core blockchain development, implementation challenges, and healthcare use cases. The citation analysis identified influential contributors and geographic concentrations of research productivity in China and East Asia. While currently anchored in technical disciplines, blockchain-SCM research displays a burgeoning interdisciplinarity. This study provides a multidimensional perspective on the topography and evolution of this rapidly developing domain. These insights will orient scholars and practitioners to high-impact contributions and productive directions for future blockchain integration in SCM contexts.
Two Monotone Processes of a Replacement Policy for a Repairable System with its Repairman Having Multiple Vacations.
Authors: Sutha. M, Sridhar. A, Babu. D
Published: December 2023

For the maintenance of repairable system with a repairman having multiple vacations using two monotone processes. If the system fails and the repairman is on vacation, it will wait for repair until the repairman is available. Assume the damaged system cannot be repaired “as good as new” and the repairman can be repaired immediately with a probability of p, we optimize replacement policy using increasing alpha series and decreasing partial sum processes. The explicit expression for the expected profit under replacement policy N is derived analytically. And we also a numerical example is given to illustrate the theoretical results of the model mentioned in this paper.
Exponential Consensus of The Stochastic Multi-Agent System by Means of Non-Fragilesampled Data Control with Markovian Leaping Parameters Under Switched Directedgraph
Authors: R.Sugumar, D.Ajay
Published: December 2023

This work addresses the issue of achieving exponential consensus in a stochastic multi-

agent system with a leader, utilizing a non-fragile sample data control approach. The proposed system

incorporates a Markovian jumping parameter, and a directed graph with two switches represents the

communication between agents. The leader agent assumes the role of guiding the other agents in

the system. The linear matrix inequality format is derived by generating an appropriate Lyapunov

Krasovskii functional for the stated system, using the implementation of integral inequality. Numerical examples are provided to demonstrate the efficiency of the specified method.
Performance Analysis of Gray Level-Based Texture Features Using Chest X-Ray Images
Authors: S. Sanjayprabu, R. Sathish Kumar, S. Jafari, R. Karthikamani
Published: December 2023

A grown-up COVID-19 recognition approach for chest X-ray images is presented in this paper. The COVID-19 virus is still having a terrible impact on people's health and quality of life around the world. The first essential step in the fight against COVID-19 is effectively screening those who are infected, and imaging of the chest represents a few of the main diagnostic methods. This study used chest X-ray images, this study is intended to automatically identify COVID-19 patients while optimizing detection accuracy by employing a gray-level-based method for extracting features and some classifiers. The dataset consists of 196 COVID-19 and 196 ordinary X-rays of the chest images. The initial phase involves pre-processing a dataset of 392 chest X-ray pictures. The preprocessed images were used to extract grey-level-based characteristics in the second step.  The third phase presents the KNN classifier to attain 90.1% accuracy in patient classification.
Implementation of Infrastructure Project Through Public-PrivatePartnership in the Southern Part of West Java Province
Authors: BihakiRidwan, Pratikso, Rachmat Mudiyono
Published: December 2023

The objective of this research is to investigate how infrastructure projects are executed in government-business partnerships. The study aims to accomplish three objectives: (1) evaluate the implementation of these projects, (2) identify the obstacles encountered during project execution, and (3) analyze the strategies utilized in executing disruptive innovation in government-business partnership infrastructure projects. The research employs a qualitative descriptive approach, carried out for a period of one year, from July 2021 to June 2022. The study involves six experts from the Transportation Agency, two individuals from the Department of Public Works and Public Housing, one representative from Regional Planning and Development Agency (RDPA), and one academician, with structured in-person interviews used as the primary data source. The research indicates that executing infrastructure projects through disruptive innovation in construction firms involves several steps, such as preparing for disruption, developing internal and external innovation, using incremental innovations, and utilizing open innovation to explore new technologies and business models. Nonetheless, the study identifies several obstacles encountered during the execution of these projects, including inadequate infrastructure project risk analysis, poor coordination among stakeholders, limited funding allocation, and land availability issues. To mitigate these challenges, the study recommends the need for independent professional consultants, improved project planning, regulatory ease, fiscal incentives for investors, and legal guarantees for private investors to ensure equal rights as state-owned enterprises in executing feasible projects, and good coordination among stakeholders
The Split (D, C) Number of a Graph and Related Properties
Authors: Safeer P. A.,  Sadiquali A., Santhoshkumar K. R.
Published: December 2023

In this paper, we introduce the concept of dominating chromatic set [(D, C)-set in short] and split dominating chromatic set of a connected graph G, it leads to an associated color variable, namely (D, C) number and split (D, C) number of G. It characterizes the parameter, along with optimized dominating sets. Also, the split (D, C) number of some standard graphs are identified.
Generalized Pre-Connectedness in Quadripartitioned Single Valued Neutrosophic Refined Topological Spaces
Authors: Arokia Pratheesha S V, Mohana K
Published: December 2023

In this paper, we introduce the notion of quadripartitioned single valued neutrosophic refined  connected (QNR  connected)space , quadripartitioned single valued neutrosophic refined generalized pre connected (QNRGP-connected) space. We investigate some of characterizations of connectedness in these spaces.
Modified Algorithm for Privacy Preservation of Gathered Data
Authors: Sachin Sharma, Navodit Nain, Kunal Tewatia, Jatin Kumar
Published: December 2023

The extensive prevalence of computing technologies in our daily lives and physical landscapes has led to the generation of vast datasets for analysis. Although, there is a growing uncertaintyregarding potential privacy breaches, as sensitive data could be exposed if not adequately protected during analysis. Many existing privacy-preserving methods encounter challenges such as inefficiency, scalability limitations, and the delicate balance between data utility and privacy conservation.

In this study, we introduce an algorithm known as PABIDOT. PABIDOT employs optimal geometric transformations to safeguard privacy within the realm of big data. We assess the efficacy of PABIDOT through a series of experiments involving nine distinct datasets and five classification algorithms. Our results highlight PABIDOT's exceptional execution speed, scalability, resilience against potential attacks,andits accuracy in large-scale datasets.In addition, we delve into the practical implications of PABIDOT in real-world scenarios, emphasizing its adaptability across diverse industries and applications. The algorithm's robustness in safeguarding sensitive information while maintaining data integrity sets a new standard in privacy preservation. Moreover, the study sheds light on potential avenues for further advancements in the field of secure data analytics, paving the way for more comprehensive and effective privacy solutions in the era of burgeoning data generation and utilization.
A Study on Anxiety of COVID-19 Workers Son’s and Daughter’s of High School Students
Authors: U. Pandian , V. Vijayakumar
Published: December 2023

This study aims to examine the COVID-19 workers' Son’s and Daughter’s Anxiety issues of high school students. The researcher conducted this study in Villupuram District in Tamil Nadu. The investigator used the normative survey method to collect the data with a sample of 120 high school students. The collected data was analyzed by using SPSS Software. To interpret the data Descriptive analysis and Differential Analysis techniques were used. From the data analysis, the results that were found by the researcher show that ‘t’ and ‘F’ values are no significant difference in the anxiety of COVID-19 Workers Son’s and Daughter of High School Students with respect to their Gender (Male/Female) and Occupation of Students Parents (Doctor/Nurse/Police/Cleaning work) and The study results mean value shows that 5% of students low level, 36.67% of students average level, and the remaining 58.33% of students show a high level ofanxiety.
Pandemic Impact on Education in Namakkal Districts
Authors: Kaviyarasu V,  P. Arunachalam, K. Sasikumar, Selva Vinayagam
Published: December 2023

To begin with, education is critical for humans. Knowledge, according to J.M. Clark (1957), is the only production instrument that is not subject to diminishing returns. Indeed, education alleviates poverty, unemployment promotes social inclusion and creates a safe environment, and the world has shrunk as a result of knowledge loss. The spread of COVID-19 has rendered the entire global clock inoperable. As a result, the existence of the entire human race in a sustained environment is in doubt. The entire world has been focused on finding solutions and a cooperative, proactive approach to resolving the COVID-19 pandemic in endemic areas. Both the central and state governments introduced a flurry of new programmes during COVID-19. During COVID-19, both the Central and State governments launch several programmes that will not be known for a long time.  As a result, the study will consider the Tamil Nadu government's recently introduced higher education development programmes for COVID-19.  In light of this, the Tamil Nadu government has been maintaining a suitable atmosphere for offering excellent education in Tamil Nadu from 2019 to 2022. When compared to other states, the Gross Enrollment Ratio (GER) is 51.4 percent, compared to the national average of 27.1 percent. Tamil Nadu has risen to the first place in higher education in India.  Women's GER is 51%, compared to a national figure of 27.3 percent, while vulnerable societies' Scheduled Tribe men and women are 43.8 and 37.7 percent, respectively. Is it possible for higher education to maintain its first-place ranking among Indian states after COVID-19?  The study seeks to determine whether free laptops, free education (up to postgraduate level in Government Arts and Science Colleges), financial assistance to economically disadvantaged sections, Chief Minister Relief Fund, and free SIM cards for students of Government Colleges, Government Aided Colleges, and students who receive scholarships in Self-financing Colleges are provided with 2 GB data per day to attend online classes during the pandemic. How many teachers are aware of online learning? How far has online education employing educational tools benefited both students and faculty (both teaching and non-teaching)? How effective is online lecturing, comprehension, and testing? With the unexpected global lockdown during COVID-19, education had a good opportunity to pave the road for global links through a coalition of connected institutions. Because the cost of ICT is prohibitively high for disadvantaged groups, authorities must address these issues in a way that benefits their future.
Corporate social responsibility, new challenges with new development, and new structural work of management framework business development cycles
Authors: Anish Devale, Shabnam S. Mahat
Published: December 2023

The study focuses on the impact Of Corporate Social Responsibility on Sustainable Enterprise Development. In addition, it also focuses on Corporate Social Responsibility and institutional theory for new Perspectives on private governance. Lastly, it examines reimagining Corporate Social Responsibility in the Era of COVID-19 by Promoting Corporate Social Competence.As this paper is based on reviews so that secondary data collection method will be used in which various past articles, books, journals, and reviews will be used to collect all the reliable data based on the topic. This study is qualitative in nature.The integration of CSR into the core business strategy is more efficacious than its treatment as a distinct initiative. This strategy aims to synchronize corporate social responsibility endeavors with the objectives of the organization, thereby guaranteeing enduring viability. Nevertheless, it presents difficulties as enterprises must devise strategies to integrate CSR deliberations into all facets of their activities.Corporate Social Responsibility (CSR) initiatives are frequently characterized by their voluntary nature and self-regulatory approach, which may not be subject to enforceable standards. This phenomenon may lead to incongruity and fluctuating degrees of dedication among corporations. In the absence of well-defined guidelines, certain organizations may resort to "greenwashing" tactics, whereby they purport to exhibit social responsibility without effecting significant alterations.Through a comprehensive comprehension and proficiency in tackling emerging challenges in Corporate Social Responsibility (CSR), enterprises can augment their standing and foster confidence among their stakeholders. A robust corporate social responsibility (CSR) strategy that is in line with societal expectations has the potential to enhance brand reputation, entice customers, and cultivate enduring relationships with stakeholders. The academic perspective suggests that the study of Corporate Social Responsibility (CSR) enables businesses to comprehend the wider societal and ecological consequences of their operations. The aforementioned statement highlights the significance of comprehending the effects of corporate choices on stakeholders, thereby facilitating judicious and conscientious decision-making. Consequently, this facilitates the alignment of corporate strategies with sustainable development objectives and enables decision-making that is mutually advantageous for the enterprise and the community.
Optimization of Wear Parameters of AZ80-Sn-RE-Ca Alloy on Pin on Disk Tribometer Using Grey Relation Analysis and Taguchi Method
Authors: M. Madusudanprasad, V. Ramachandra Raju
Published: December 2023

In general, reducing the amount of wear that mechanical systems generate during operation is one of the most crucial design issues. Determining the ideal process parameters based on research findings regarding wear amounts for various material compositions and configurations is one of the best ways to address this problem. Friction between moving parts produces heat at the points of contact, shortening component life and increasing power consumption. This wear and tear is a common occurrence in mechanical parts. The current project work involves experimenting with the pin-on-disc wear test method parameters and using magnesium tin alloy under dry sliding conditions as the material of study. A wear test research was conducted using various sliding speeds, load values, track diameter values, and sliding durations.  Grey relation analysis and the Taguchi method are used in the Design of Experiments (DOE) methodology to anticipate wear and analyze variance (ANOVA).
A Framework to Implement Data Mining Algorithms with IoT Data to Enable Safe and Rapid Decision-Making Process
Authors: S.Immanuvel, P.Radhakrishnan, Md. Shohel Sayeed
Published: December 2023

Internet of Things (IoT) devices produce a significant amount of data in a real-time manner, it is crucial to make decisions and move forward using the information provided by the sensors that are a part of the IoT environment. In order to handle the analysis of enormous IoT data sets, this interdisciplinary methodology is used. Based on the tasks involving the data and the types of data we deal with during the process, data mining techniques are chosen for IoT data. Again, by choosing the appropriate methods, it is possible to reduce large data sets, clean up the data, and format it as needed. Therefore, the best algorithms for creating, controlling, and monitoring IoT-based applications in various fields are improving IoT process performance. The framework that is suggested will be used to build the appropriate algorithms for IoT Data in related applications, enabling safe and quick decision-making in real time..
An Optimal Solution for the Stable Marriage Problem using Particle Swarm Optimization and Firefly Algorithms
Authors: Kirti Pandey, C K Jha
Published: December 2023

This paper proposes a hybrid approach to solving the Stable Marriage Problem (SM) by fusing ideas from the firefly optimization (FA) and particle swarm optimization (PSO) methods. It is commonly known that there is always at least one stable matching exists for each instance. The conventional Gale-Shapley formula, on the other hand, produces a partnership that either strongly favours men over women or vice versa. Our proposed approach uses a hybrid optimization technique to solve the problem of stable marriage by providing the best possible pairs. The fitness function is defined here on the basis of the type of optimal solution. To categorize the kind of optimal solution two score functions are defined in this work.The proposed research uses FA to explore the undiscovered solution space, in contrast to our suggested technique which is based on PSO. The particles are then subjected to a dynamic adaptation mechanism for certain parameters, which gradually raises their values as part of the process of determining the velocities. The generation number of the swarm is the dynamic value for these parameters. These two parameters will use their predetermined values for the remaining particles in the swarm. It's worth noting that the dynamic values will be used by different particles in each generation. The proposed method is found to be superior than the conventionaltechniques in terms of the performance scores representing the quality of matching for different types of optimal solutions.
An investigation of Glaucoma Detection in RFI Using Bio-Inspired Multivariable FE with ML Models for Early Diagnosis
Authors: Shamseera KK, Selvavinayaki K
Published: December 2023

To propose a bio-inspired multi-variant feature extraction technique in retinal fundus images to improve glaucoma detection for easy diagnosis. To improve the classification accuracy of glaucoma disease, a machine learning approach is employed based on the features extracted in RFI. Methods: The Fish School Search MOFS (FSS-MOFS) bio-inspired technique is employed to extract the multivariable features from digital RFI and spot the glaucoma variations to maximize the discrimination power and minimize the dimensionality. The Binary Robust Independent Elementary Feature (BRIEF-LD) technique is employed to identify the latent spots in RFI. The PAPILA dataset is utilized for this research study, which includes the clinical records of 244 patients and 488 images of the right and left eye of all the patients under 2 categories (male and female) with results in healthy, glaucoma, and suspect categories. In order to perform deep pixel identification and RFI segmentation, the Densenet-121 architecture is used along with a deep-lab model to incarcerate the built-in fine points of RFI with the help of dilated convolutions. The MATLAB tool is used to assess the suggested bio-inspired technique, and comparative analysis is done against the prevailing glaucoma detection and feature extraction methods such as I-SVM, RFSO, SE-GSO, VGG-Net, and DBN classifiers. Findings: The suggested FSS-MOFS multi-variant feature extraction technique outperforms the prevailing ML methods such as I-SVM, RFSO, SE-GSO, VGG-Net, and DBN classifiers. The result of the comparative study shows 94% accuracy, 96% sensitivity, 97% specificity, 96% F-measure, 96.8% Precision, 97% recall, 95% detection speed, 92.06% TPR, 92.15% TNR, and 8% FPR & FNR. Novelty: The promising result of the FSS-MOFS method boosts the accuracy level of glaucoma detection and classification compared to other classification techniques. The suggested model helps the ophthalmologists identify and diagnose glaucoma in a robust way. FSS-MOFS overcomes the shortcomings of prevailing feature extraction methods.
An Algorithm to Increase the Attached Complexity and Time Consumption for Iot Healthcare Applications Based on the Truncated Quantum Hashed Method
Authors: Bharathi Malakreddy A., Vani G.
Published: December 2023

Internet of Things (IoT) implementations have been used in numerous healthcare domains. The majority of smart devices are connected, including the automatic environment in which such systems operate. Security and privacy have emerged as major challenges for IoT management. Recently published research has revealed the effectiveness of Elliptic Curve Cryptography (ECC) techniques are very useful for undertaking security research and evaluation of IoT applications and have numerous advantages over further techniques. The objective of this research paper is to suggest options for where to improve the encryption system in the ECC technique, with numerous optimization techniques to prepare the best enhancement of the light-weight algorithm. Our primary focus is on enhancing the Truncated Quantum Hashed Signature (TQHS) methods to increase the complexity of the adaptation and reduce the time utilization of the ECC encryption model. A hybrid data encryption architecture model integrating an ECC model with a TQHS-based architecture design to develop a lightweight encryption technology and the proposed Truncated Quantum Hashed Signature method integrates a random Hashed Signature methodology with a key generation model to improve security complexity. Second, from the standpoint of IoT security systems, Comparison and estimation of memory consumption and time complexity analyses to increase privacy and security. Lastly, we enhance the encryption system parameters in the ECC method. In the proposed work, we present a novel model of random key formation for the ECC to improve the model as a lightweight architecture.
Influence of Social Media Marketing on Business Performance of Durable Goods with Special Reference to Chengalpet District
Authors: K.Priya, P. Jagadeesan
Published: December 2023

With the advent of technology the social media marketing is playing a significant role in the business. The social media tools are Facebook, YouTube, Twitter and Amazon etc., are   used by all kind of business people. The business people use social media tools to promote their products and services. This study is focused on durable goods like household appliances, car, electrical & electronic items, books etc. are available in online marketing. With the help of social media marketing the durable goods performed well in online sites. In these sites they mention the product details, cost, warranty etc. It helps the consumer to know the idea of durable goods and also to proceed buying decision according to their wants and desires. The luxurious durable goods such as car, washing machine, television and refrigerators are daily used by the consumers and has to maintain the durability. With help of social media marketing the durable goods are bound to satisfy the household requirements due to various choices and based on income level of consumers.
Analysis of Nonlinear Flow and Heat Transfer Issues in Nanofluid by Using RK-4th Order Method
Authors: Mahendra Pratap Pal, Lokendra Kumar
Published: December 2023

Nanofluids, composed of a base fluid with dispersed nanoparticles, have gained significant attention due to their unique thermal and flow characteristics. Understanding the nonlinear flow and heat transfer phenomena in nanofluids is crucial for optimizing their performance in engineering applications. In this study, we propose using the Runge-Kutta 4th order (RK-4) numerical method to analyze these issues. The RK-4 method is known for its accuracy and efficiency in solving ordinary differential equations. By applying this method to the governing equations of fluid flow and heat transfer, we can accurately capture the nonlinear behavior of nanofluids. We investigate various nonlinear phenomena, such as boundary layer separation, flow instability, and heat transfer enhancement, considering factors like nanoparticle concentration, size, shape, fluid properties, Reynolds number, and temperature gradient. The RK-4 method provides accurate solutions, revealing critical parameters that affect flow and heat transfer behavior. Comparisons with experimental data and other numerical methods validate the approach, demonstrating its reliability. Parametric studies are conducted to optimize nanofluid characteristics for improved heat transfer and fluid flow. This research enhances our understanding of nonlinear flow and heat transfer in nanofluids and enables efficient numerical analysis, opening new avenues for improving nanofluid-based systems.
Twitter Data Feature Selection Using Enhanced Genetic Algorithm
Authors: E. Ramadevi K. Brindha,
Published: December 2023

Feature selection is a basic critical task in sentiment analysis, especially while analyzing Twitter data for stock market sentiment. This paper proposes an enhanced genetic algorithm (GA) for feature selection utilizing Finance Yahoo stocks data and openly accessible Twitter data. The objective is to distinguish the most relevant features that can successfully anticipate stock market sentiment. The proposed GA integrates methods to enhance the investigation and double-dealing capacities, empowering it to look through a bigger feature space and work on the nature of chosen features. The algorithm starts by introducing a populace of random binary chromosomes, with every chromosome addressing a feature subset. Wellness assessment is performed utilizing sentiment analysis strategies to survey the prescient force of each feature subset. Trial assessment utilizing Finance Yahoo stocks and Twitter data shows that the enhanced GA beats customary GA and PSO strategies concerning exactness and forecast performance. The proposed approach gives important experiences to sentiment analysis and feature selection with regards to stock market sentiment utilizing Twitter data.
Impact of Social Media Advertising on Consumer Buying Behavior - An Empirical Study
Authors: V. Kalaiarasi, M. Vigneshkumar, Vikram Bajaj Archana R. Motta, C. Muralikumaran,
Published: December 2023

This study examines the influence of social media advertising on consumer purchasing behaviour.   Amidst the prevalence of digital communication and online interactions, it is imperative for businesses to comprehend the impact of social media on consumers' buying choices.   The study utilises a comprehensive methodology, investigating the many phases of the consumer decision-making process that are influenced by social media advertising.   The study highlights several important elements, including the impact of social media exposure on brand recognition, the efficacy of targeted advertising in reaching certain consumer segments, and the influence of engagement and interaction on consumer views.   The study also examines the impact of user-generated content, influencer partnerships, and real-time updates on consumer confidence and intention to purchase.   The research seeks to analyse the data collected from various social media platforms in order to find patterns and trends in consumer behaviour that arise from exposure to social media advertising companies.   In addition, the study examines the possible disadvantages, such as excessive information and privacy issues, linked to social media advertising and their influence on consumer decision-making.  The purpose of the research is to provide valuable insights for making strategic decisions in order to enhance social media advertising campaigns and ensure they are in line with customer tastes and behaviours.
Indian Reality in the Fictional Works of Ruskin Bond
Authors: Bhardwaj Priyanka
Published: December 2023

Ruskin Bond, a renowned and multifaceted literary figure, is primarily recognised for his fictional prowess, although he has also authored a handful of poems and non-fictional works.   He resides permanently in Mussoorie with his adopted family. Despite his British lineage, he has wholeheartedly embraced Indian culture, beliefs, and traditions.  Being born in India, he has been exposed to all aspects of Indian culture since his early years.He has developed a strong sense of connection and belonging to the land of India.Consequently, he is highly esteemed among authors who write in the Indo-Anglian literary tradition.  The author's literary works are deeply immersed in the intricacies of Indian culture and its authentic representation.