bluuebunny/crossref_metadata_2025 huggingface dataset:
Verbal Communication at Workplace: A Pragmatic Approach
Authors: Et. al. Dr. Sunil Kumar Jha,
Published: January 2024

The academicians and the professionals classify communication into two broader categories; verbal and non-verbal. These two labels of distinction might have earned popularity on the basis of easier way of understanding things but the gravity of the subject calls for a fresh and new approach which is felt quite essential to have in-depth and holistic study of the issue. The verbal is said to have direct and rational relationship with communication through words whereas the other forms of messages have been categorized as non-verbal. The paper explores some of the unexplored aspects of verbal mode of communication that encompasses within its purview the pragmatic approach to linguistic discourse in the total system of communication. Further, the paper also endeavors to point out some of the aspects of communication that relates to the principles of management of an organization which need be considered in the matter of TQM (Total Quality Management).
A Piece of Education on Comparative Performance Study of Islamic Banking system and Commercial Banking system in Pakistan
Authors: Et. al. Dr. Khurram Sultan,
Published: January 2024

Purpose of the study: Islamic banking has been explained in numeral ways. This study is shown to find out the difference among the two parts of banking, the first one is Islamic banking and the second one is conventional banking system of Pakistan with respect to liquidity, efficiency, and profitability. The secondary data from banks of each banking subdivision is taken for valuation. Proportion analysis is used to define the characteristics of study respondents and regression analysis is used to study the difference in term of significant factors that affect client trust of Islamic banks and commercial banks.

Methodology:  The secondary data from banks of each banking area is taken for calculation. Ratio analysis is used to conclude the characteristics of study respondents and regression analysis is applied to examine the difference in term of significant factors that influence customer trust of Islamic banks and commercial banks. Five Islamic banks and five commercial banks has been taken as sample under population of all the banks

Main Findings: The results of the study show that there is important difference among the both kinds of banking for the variables under study. Furthermore, influence of return on asset is more on client trust for the study period (2015– 2019) for the Islamic bank as compared to the conventional banking. The study also inspects the important factors that are significant for development of Islamic banking.

Application of this study: This study contributes toward the financial area for policymakers in order to build the best policies of the banking system. New banks can get advantage form this study in order to achieve their goals this thing will ultimately lead toward the success.
A STUDY ON CONSUMERS’ PERCEPTION TOWARDS FOOD ORDERING PORTAL WITH REFERENCE TO CHENNAI
Authors: Et. al. Mr.G.DHAYANIDHI,
Published: January 2024

The paper embarks on the pride stage and the influencing elements closer to the meals ordering portals with reference to Swiggy and Zomato and additionally the choice of the college students between these two apps. The on-line meals ordering market elevated in the U.S with 40% of U.S adults having ordered their meals on line once. This lookup paper pursuits at discussing the consumer’s appreciation toward the on-line meals ordering and offerings amongst college students in Chennai. This lookup paper is aimed to discover out the elements that permit the customers to use on-line meals ordering portals in Chennai and to check out the pleasure degree between Zomato and Swiggy. This find out about additionally concentrates on evaluating each the apps globally. This paper will assist the provider vendors to recognize the consumer’s grasp on the foundation of the result. The survey, effects and the findings will assist the on-line enterprise to create higher techniques to appeal to many clients and to furnish them with higher convenience.
Differentially Private Data Release: Bias Weight Perturbation Method - A Novel Approach
Authors: Et. al. Dr. Priyank Jain,
Published: January 2024

Differential privacy plays the important role to preserve the individual data.  In this research work, discussing a novel approach of releasing private data to the public, which is differentially private, called Bias Weight Perturbation Method. The approach follow here align with principle of differential privacy, it also used concept of statistical distance and statistical sample similarity to quantify the synthetic data generation loss, which is then used to validate our results. Our  proposed approach make use of the deep generative models for providing privacy and it further produce synthetic dataset which can be released to public for further use.
The Impact of Changes in Exchange Rates on Indicators of Stability in the Iraqi Economy after 2003
Authors: Et. al. Hanan Shaheen Hussein(Ma) ,
Published: January 2024

This study highlights the exchange rate policy as one of the important economic policies that support the work of the monetary and financial policy within the successful partial reforms. Those reforms are efficient and influential in economy structure, especially in the case of the availability of continuous structural reforms and control of unproductive expenditures with adopting many treatments that are devoid of defects and shortcomings in the economic, commercial and investment aspects. As well as, at the same time, it is considered a harmful policy if it is used in an economic environment that suffers from the most basic requirements of development due to the importance of most of the effects that the change in the exchange rate generates on the indicators of economic stability. However, what the Iraqi economy is experiencing in terms of the presence of a heavy legacy of inherent crises in the economy, perhaps the most important of which is the imbalance affecting the balance of payments, the general budget, the emergence of inflation and the rise in the public debt index is a clear translation of deep failures in the economic structure. Yet, the impact of the change in exchange rates is hardly devoid of a role in activating those failures that represent an obstacle to the progress of the economy through the negative effects that this change in exchange rates imposes on the reality of those indicators. Finally, this study has concluded that the weak and ineffective effect of adopting the policy of reducing the Iraqi dinar is due to the lack of complete adaptation in the structure of the Iraqi economy for the success of this implementation in the short term, with this reduction, Iraq has been distanced from economic stability, since the stability of any country is linked to the stability of the national currency exchange rate against foreign currencies, to ensure that it is far from the sharp fluctuations experienced by any country through the nature of the existing international and commercial relations with the countries of the world.
Role And Impact Of The Packaging Effect On Consumer Buying Behaviour
Authors: Et. al. Jenifer Ezhilarasi .
Published: January 2024

The marketing activities are based some of the special character, these kind of character are to be followed and prepared for the purpose of identifying their product. Producer needs the something new in their product; the product must to have some new ideas and identity form the other product. The entire marketing world is based on product using in their personal life of the individual one. Family are the decision maker in the usage of the new product or the old one available in the marketing area. The coverage of the marketing field in the product to be followed in future also, every producer of the product to find a new way to promote their business in the forward way. This article contains the scope, objectives and limitations of the study and the Chi-square test to compare the data details to the customers effectiveness related for the new policy.
Entrepreneurial orientation and business performance: A study on micro and small entrepreneurs of Assam
Authors: Et. al. Hiranyamayi Majumder,
Published: January 2024

Entrepreneurship is a vital source of growth and development in an economy. The multifaceted phenomenon of the term entrepreneurship makes it a streaming subject to enquire about its inevitability and universal applicability.  The present paper is a similar attempt to study the exponential term entrepreneurial orientation and its relationship with firm performance in selected SMEs of Assam. After reviewing the literature, we came up with a set of agreed dimensions of EO i.e. innovativeness, proactiveness, autonomy, competitive aggressiveness, and risk-taking propensity. We tested a sample of 100 micro and small firms that had been in business for more than five years with a schedule consisting set of statement questions. Regression analysis was used to test the relationship between entrepreneurial orientation and firm performance that found a significant positive effect among the two.  It can be concluded that entrepreneurial orientation of Micro and Small owners/managers can influence the success and survival of the SMEs.
The Role Print Media Coverage in Promoting ‘Swachh Bharat Abhiyan' A study with reference to leading newspapers in Rajasthan
Authors: Et. al. Vinod,
Published: January 2024

The media plays a significant role in our lives by informing us about the happenings across the world and shaping our opinions on various issues. In this context, different forms of media have distinct utility in the dissemination of news and other important information. Print media is one of the most powerful and omnipresent tools for spreading information to a vast number of people in a cost-effective manner. The impact of the written word has never been underestimated and it remains a strong medium of communication and conversation. It is worth noting that reading written information leaves a long-lasting and deep impact on individuals and helps guide their views on a subject. Therefore, print media is of great significance in conveying information to different sections of the society and understanding their opinions which, in turn, has an impact on policy making.

This study is aimed at ascertaining and analysing the role of print media in spreading awareness on the issues of cleanliness and sanitation amongst the people of India. In this context, the study involves the analysis of news-related data of two leading national newspapers, namely ‘Dainik Bhaskar’ and ‘Rajasthan Patrika’. The overall levels of cleanliness in India are alarmingly low with minimal facilities for disposal of waste which is a major challenge for many people. Although there have been several programmes and campaigns drafted and launched by the government of India to improve the mechanisms of waste disposal and enhance the cleanliness levels across the country, the issue of waste management remains a persistent problem for most Indians.

Furthermore, the research methodology adopted for the study is 'Content Analysis’ which is an appropriate technique to analyse the contents of national English dailys. The study is focused on assessing the level of importance that the aforementioned newspapers have assigned to news related to cleanliness and sanitation issues. In this context, the findings of the study have revealed that both the newspapers have provided due significance to the aforementioned issues in their news coverage.
Learning Medium for Students with Visual Impairment
Authors: Et. al. R.Vaijayanthi,
Published: January 2024

Students with Visual impairment benefit from building a strong foundation of literacy skills during their preschool years, a goal that is often more challenging for young Braille readers who lack access to the incidental learning readily absorbed by typically sighted children. Braille remains the main medium of communication for persons who are blind. The Disability Act of 2003, USA on its part stipulated that Learning Institutions should take into account the special needs for persons with disabilities with respect to the entry requirements, pass marks, curriculum, examinations, auxiliary services, use of school facilities, class schedules and other similar considerations. The Act also emphasized that provisions should be made in all parts of the country for an integrated system of special and non formal education for persons with all forms of disabilities. It also proposed for the establishment where possible of Braille and recorded libraries for persons with visual impairments. Keeping these points  in view an attempt was done to know the  Braille literacy medium for students with visual impairment. The objectives of the study were to examine the learning  medium of students with visual impairment in Inclusive and Special schools and to find out the appropriate educational devices used by visually impaired students  .Survey method was used to gather the details. The study was carried out with Ninety four  students with visual impairment and thirty five special teachers. Qualitative  analysis was done to analyze the learning medium for students with visual impairment. Results revealed that majority of the samples(77.66%) were students with Low vision than  totally blind students(22.34% . The study revealed  that students with visual impairment  use  book print ,print& audio ,reader service, digital/recorded books , audio tapes/speech input, large print with/without the aid of magnifiers as their learning medium. Nearly 52.38% of21 totally visually impaired students used Braille as learning medium.
Hesitant Fuzzy Prime Ideal Of Ring.
Authors: Et. al. Ali Abbas. J.
Published: January 2024

In this paper, we study hesitant fuzzy sets and some of its properties .We  introduce the notions of hesitant fuzzy ideal, hesitant fuzzy prime ideal of a ring and hesitant fuzzy strongly prime ideal ,hesitant fuzzy 3- prime ideals .

And we give a characterization of  hesitant fuzzy prime ideal ,also introduce  relationships between hesitant prime ideal and strongly prime ,3-prime .

And some important basic operation on the hesitant fuzzy prime ideal of a ring .
Interdisciplinarity for professional development in a foreign Language
Authors: Et. al. María del Pilar Fernández Celis,
Published: January 2024

The curricular proposals for professional development in foreign languages require the contribution of an interdisciplinary approach, because they deal with sociocultural constructs that are as important as language itself, in this context is not simply a vehicle for communication. In this sense, the objective of the study is to characterize the factors associated with professional training in a foreign language. The study considers that the interdisciplinary approach corresponds to the territorial approach, the use of the language versus the standard, the intervention of disciplines in professional training and the perspective of interdisciplinarity. The study applies a qualitative methodology corresponding to ethnography where oral communication with socio-cultural constructs is recorded in the everyday life, along with all sources of consultation that has allowed to build a model of professional development training in foreign languages. The use of the unstructured survey and in-depth interview has allowed to record the following results: the contribution of the interdisciplinary approach generates spaces to value the transdisciplinarity because any foreign language transcends, since it mobilizes and generates knowledge within open and closed territories. Languages represent dynamic processes that characterize the role of individuals within given contexts.
The Role of Free Economic Zones in The Economy And Their Need For The Development Of The Country
Authors: Et. al. Kuzieva Nargiza Ramazanovna ,
Published: January 2024

The article discusses such tasks as the theoretical aspects of the emergence of free economic zones and their role in the economy of the state, the formation of free economic zones, the goals of creating and classifying free economic zones, the features of the emergence and development of tax regimes, the need for free economic zones in the development of the country. The analysis of the development of free economic zones and the existing tax regime, analysis of the legal framework for the creation and functioning of free economic zones.
Research on Encryption and Key Aggregate Searchable Decryption Methods for Data Storage in Cloud Securely
Authors: Et. al. Akhila. H. Kumar,
Published: January 2024

In today’s global, several corporations use data structures for their management of strategic and enterprise-important information. This kind of crucial problem wishes to be covered. no precedence can be given to the company. cloud computing ensures to extensively alternate the method we generally tend to use computers, access and preserve our private and industrial employer info. With this new computing and communications, paradigms arise brought statistics protection challenges. present statistics protection mechanisms have barriers in stopping records felony assaults, particularly those perpetrated with the aid of the usage of partner diploma agency executives to the cloud supplier to watch facts get right of entry to inside the cloud and find out peculiar facts get proper of entry to styles. Those kinds of challenges need to be addressed by the manner of growing a gadget with robust safety and privateness for cloud facts storage and facts sharing thru an encryption process. The variation to cloud-sharing files for the person for an encryption key technique to be used for lots of documents. Now, not entirely the encryption keys but additionally, the search keys need for use, and customers ought to maintain their keys impervious and disbursed. The present-day gadget the owner of the fact can solely percentage one key with the consumer, whether or no longer it's miles any kind of file, massive or small variety of documents, and the characteristic of the person is to cross a trap inside the cloud of ordinary overall performance finding out and safety evaluation of shared files, that's an impenetrable and great proposed gives schemes. And clients are additionally very concerned about information sharing garages, unexplained information leaks inside the cloud, and malicious attackers. In this paper, a trial has been made to layout an encryption mechanism for impenetrable records sharing.
A Swarm based Bi-directional LSTM-Enhanced Elman Recurrent Neural Network Algorithm for Better Crop Yield in Precision Agriculture
Authors: Et. al. K. Mythili,
Published: January 2024

Agriculture plays a significant role in providing food in a country. It is a major industry in terms of revenue and contributes to the economic development of a country. Global warming and sudden changes in climatic conditions have hampered agricultural industry creating multiple challenges in crop cultivation affecting productivity of crops. In spite of recent changes agricultural practices, challenges exist. Current technological growths can help overcome challenges in this industry in terms of improving productivity. PF (Precision Farming) is a technological concept that can aid traditional farming practices into becoming more productive. Moreover, traditional methods are advantageous in crop yield predictions, but considering unknown environmental factors makes these methods achieve lesser yields. PF can forecast or suggest the right time for cultivation based on previous known data. DCNNs (Deep Convolution Neural Networks) is one MLT (Machine Learning Technique) that can effectively predict crop growths. Hence, this work aims towards contributions in this area by presenting a short-term crop yield prediction model called RDA-Bi-LSTM-EERNN based on Bi-directional LSTM-Enhanced Elman Recurrent Neural Networks Algorithm with Red Deer Algorithm. The proposed RDA-Bi-LSTM-EERNN algorithm is an altered version of Bi-LSTM-EERNN with RDA based optimizations. This works hybrid method was compared with traditional approaches for its predictive performances using a crop dataset. This work’s proposed scheme can greatly help farmers take valuable decisions as its experimental results were found to be satisfactory.
Quantile Normalized Neighbor Combinatorial Machine Learning Based Recommendation in Digital Marketing
Authors: Et. al. K.S. Narayanan,
Published: January 2024

The scientific advancement of the contemporary years has set industries on the move. The advancement in marketing has led to the point where reshaping to digital movements is essential. Even though it appears to be a plunge for marketers, as a matter of fact, all mechanized applications and systems that are designed on the basis of artificial intelligence only reduces the complication of conventional targeting and customization procedure. In several applications, the platforms utilized for online promotion carry algorithms for recognizing the best combinations whereas in other cases, the business establishments or institutions involving digital marketing take advantage to design and execute in-house personalized arrangements. As a case study, a method called, Quantile Normalized Neighbor Combinatorial Learning-based Recommendation (QNNCL-R) is applied for generating new leads that will ultimately become customers (i.e., promoting student higher education to admission branding in our scenario) via twitter dataset. The data obtained from the twitter dataset (i.e., higher education) is fed to the recommendationsystem. Then, the relevant set of features and event labels (i.e., tweets) is selected by Quantile Normalized Chi-square Feature selectionand a Neighbor Combinatorial Learning-based Recommendation algorithm with the best performance is selected for the recommendation process for higher education. QNNCL-R method is compared with other algorithms and indicating that QNNCL-R method performs better than other methods.
Decision Support Model for Prioritization of Cotton Plant Diseases using Integrated FAHP-TOPSIS approach
Authors: Et. al. S. Vanitha,
Published: January 2024

Cotton, the essential cash crop of India plays a predominant part in the agricultural and industrial enlargement of the world. The evolution of cotton plant begins with the germination of seed and its growth depends on the accessibility of temperature, soil moisture and oxygen. The desirable characteristics combined in cotton make no other fiber to duplicates its value. There are beyond 75 critical diseases leads to the substantial destruction and economic losses in cotton crop. Premature analysis of the cotton plant diminishes the disease, results in the significant enhancement in the superiority of the product. Massive yield of cotton crop is vanished each year due to fast incursion by insects and pests. Verticilium wilt, grey mildew, leaf spot and leaf blight are some of major cotton disease in cotton plant which extremely affects the productivity. This research discusses the multi criteria decision making evaluation tool to identify the major disease causing factors of cotton crop. Fuzzy AHP, a Multi Criteria Decision making method (MCDM) is applied to impact the disease causing risk factors by determining the weights of the criteria. Moreover, a Fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), a ranking MCDM methodology has been applied to rank the alternatives. The outcomes and methods described in this research based on the derived criteria and sub criteria of risk factors will be a noble orientation in producing more perfect, active and efficient decision support tool for the farmers to identify and diagnose the risk factors during the cultivation of the cotton crop
Feature Extraction Of Ultrasound Prostate Image Using Modified Vgg-19 Transfer Learning
Authors: Et. al. Mr.J.Ramesh,
Published: January 2024

Feature extraction plays a vital role in classification, clustering, diagnosis, and recognition. For the classification process, feature extraction is very important to embody the content of images accurately. The extraction of features from Transrectal Ultrasound (TRUS) is complex as it contains speckle noise, low dissimilarity, the fuzzy region between the object and background. To solve this problem, Ultrasound (US) prostate images are preprocessed and segmented by the Ant Colony Optimization-Boundary Complete Recurrent Neural Network (ACO-BCRNN) method. To extract the relevant features many techniques are applied by the researchers. Recently, transfer learning methods are used for feature extraction. Transfer learning is a machine learning technique in which a trained model in one problem is used in the development of another related problem. Transfer learning consists of various pre-trained models such as VGG16 (Visual Geometry Group), VGG19, Resnet50, InceptionV3, Xception, MobileNetV2, DenseNet, and ResNetV2. The modified VGG-19 model is proposed to extract the features of the prostate ultrasound image. The proposed method was compared with other pre-trained models and its performance is evaluated by using Support Vector Machine (SVM), Extreme Learning Machine (ELM), and Grid Search. The experimental results demonstrated that the pre-trained model VGG19 is superior to other models in terms of Precision, Recall, Accuracy, and F1 Score
An Impact Assessment of Psychological Contract on Job Satisfaction, Commitment and turnover intention in Steel Industries in India
Authors: Et. al. Mr. Sarasa Kumar Panda,
Published: January 2024

HRD practices change the capabilities of employees at all levels in an organization and in this way assume a significant role in driving advancement and development. Individuals' capabilities and how those capabilities are utilized within the organization due to advancements in the systems and processes of HR management involving HRD helps to leverage the many-fold benefits. In that trio of extraordinary capacities, HRD centers focus on learning and improvement at the individual, group, and organizational levels that happens when employees have the knowledge, competencies, skills, and attitude for getting the hang of, facing attentive challenges, sharing information, and thinking imaginatively, and when organizations offer help by managing it through effective KM[1]. Ishak et al. (2010) propose KM is fundamental for building up the human asset. It is additionally recommended that HRD is fundamental for developing the knowledge that flows through the KM framework. Hence, the purpose of this study is to investigate the pathways leading from HRD to OP through KM as a mediator and presenting a comprehensive framework for steel companies of India to strategize effective HRD practices for better and effective KM for enhanced Perf organization-wide. The main objective of this topic is to measure the effect of HRD Practice, Knowledge Management on the real organizational performance in the steel Industries in India. In this study, we have used SEM for the measure of the mediating effect of knowledge Management on HRD Practices for organizational performance. 

 

[1] https://www.intechopen.com/books/knowledge-management-strategies-and-applications/knowledge-sharing-and-human-resource-development-in-innovative-organizations#B3
Vibrational Internal Energy And Helmholtz Free Energy Of Metals
Authors: Et. al. G.E. Adesakin ,
Published: January 2024

This article revealed an interesting issue on vibrational internal energy and Helmholtz free energy of metals. The relationship existing between the lateral strain and axial strain was taking into consideration during computation. Vibrational internal energy and Helmholtz free energy of metals was computed and studied based on the theory of free electron approximation using the knowledge of thermodynamic potentials. Computed and theoretically obtained experimental valueof vibrational internal energy and Helmholtz free energy of metals agreed quite well with each other.Vibrational internal energy of metals increases as temperature increasesdue to change in atomic configuration mode and valence electron exchange between ions in metals.Increase in vibrational internal energy of metals as strain increases can be caused by weak electron cohesion and uncertainties regarding the behavior of valence electrons, atomic size, atomic configuration and bonding interaction between the electron in metals. Result obtained for free energy of metals is negative throughout which indicate that there is a better binding between electron in metals. Free energy of metals decreases as temperature increases due to reduction in atomic interaction and bond strength between the interacting electron in metals. Free energy of metals decreases as strain increases.
Determinants of economic integration in the Pacific Alliance 1990-2019
Authors: Et. al. Ricardo F. Cosio Borda,
Published: January 2024

The objectives of this research were: (a) To build the model that explains the intra-regional exports of the Pacific Alliance in the period 1990-2019; (b) To build the model that explains the intra-regional imports of the Pacific Alliance in the period 1990-2019; and, (c) To build the model that explains the coefficient of external openness of the Pacific Alliance countries in the period 1990-2019. Therefore, the positivist paradigm was applied, quantitative approach, substantive type, ex post facto non-experimental design and the method was hypothetical deductive. The data collection technique used was documentary analysis. The data were analyzed with the support of descriptive and inferential statistics. The results obtained showed three models, represented in the following equations: (a) Intraregional Export (X) = -406002,576 + 50,331 XT + 2,706 XNT - 28,769 IP - 13,667 PT - 15369,702 IPC; (b) Intraregional Imports (M) = -1030849.869 + 41530.637 IPC + 410.599 TC; and, (c) External Openness Coefficient (CAE) = 10.700 - 0.002 MBC + 0.157 TIR + 0.283 IPC - 0.004 TC. In conclusion, the research determined the three models that explain the variables that influence the integration process of the Pacific Alliance, based on the years from 1990 to 2019.
Perceiving feelings in text utilizing outfit of classifiers-An AI Application
Authors: Et. al. M. Yadi Reddy,
Published: January 2024

Emotions  comprise a vital factor in human instinct and conduct. The most well-known path for individuals to express their assessments, contemplations and speak with one another is through composed content. In this paper, we present a slant investigation framework for programmed acknowledgment of feelings in text, utilizing a troupe of classifiers. The planned group classifier diagram depends on the idea of joining knowledgebased and measurable AI arrangement strategies expecting to profit by their benefits and limit their downsides. The gathering composition depends on three classifiers; two are factual (a Naïve Bayes and a Maximum Entropy student) and the third one is an information based apparatus performing profound examination of the regular language sentences. The information based instrument dissects the sentence's content design and conditions and actualizes a catchphrase based methodology, where the enthusiastic condition of a sentence is gotten from the passionate fondness of the sentence's enthusiastic parts. The group classifier composition has been broadly assessed on different types of text, for example, news features, articles and online media posts. The exploratory outcomes demonstrate very good execution with respect to the capacity to perceive feeling presence in text and furthermore to recognize the extremity of the feelings.Estimation examination
Exact and Local Search Algorithms to Minimize Multicriteria Scheduling Problem
Authors: Et. al. Anmar S. Al-Tameemi ,
Published: January 2024

In this article , we consider the Multicriteria scheduling problem on a single machine for minimizing the sum of total completion time (∑Cj) with the total tardiness (∑Tj) and maximum earliness (Emax). We propose a branch and bound (BAB) algorithm to find the optimal solution for the problem. In this BAB algorithm, a lower bound (LB) based on the decomposition property of the Multicriteria problem is used. Two local search algorithms, descent method (DM) and simulated annealing (SA) are applied for the problem. The algorithms DM and SA are compared with the BAB algorithm in order to evaluate effectiveness of the solution methods. Conclusions are formulated on the efficiency of the algorithms, Based on findings of computational experiments.
Exploring the causal influence of beliefs on mathematical competencies using an integrated approach of Interval-valued Intuitionistic Fuzzy Relational Map and TOPSIS
Authors: Et. al. S. Arokiamary,
Published: January 2024

Achievement in mathematics is widely recognised as a sign of intelligence and cognitive development. Students’ involvement in acquiring mathematical competencies is not just automatic, but needs conscious efforts from the part of students. The intrinsic factor that motivates the students to plunge into activities that develop mathematical competencies is self-belief or belief system. The relationship between personal beliefs and competencies acquired is so important that it attracts the interest of researchers to create an ‘intellectual and competent’ community. In this paper, the causal influence of mathematics related beliefs on mathematical competencies is studied using a hybrid fuzzy model called IVIFRM-TOPSIS. This expert based method is more comprehensive in its approach as the uncertain information is modelled with interval-valued intuitionistic fuzzy sets. This study exhibits the efficiency of the fuzzy hybrid model in analysing the causal relationship and ranking the order of influence.
Predictive Analysis of Mutual Fund Investment Using Sustainability Index Evidence from Indian Stock Market
Authors: Et. al. Heera S Kumar,
Published: January 2024

This study is an attempt to predict the price movement between S & P BSE GREENEX and selected open ended equity mutual fund categories traded at stock exchanges in India. Daily data over the last 5 years were taken and the sample period is from January 1, 2016 to January 1, 2021. The authors use a set of econometric models such as dynamic lag vector auto regression stochastic process model, Cointegration, Granger causality test and Variance Decomposition to substantiate the existence of long run and short run association between the dependent and independent variables selected. The study shows clear evidences of cointegration between S & P BSE GREENEX and selected mutual fund categories, which is an indication of the existence of long run equilibrium relationship between the variables. The empirical investigation also proved the traces of bi-directional and uni-directional Granger- casual effect between the variables. The findings of the study show that S & P BSE GREENEX and large cap mutual fund categories have strong price movement relationship compared to mid-cap funds, which shows a marginal relationship and relatively very weak relationship with small cap funds.
A Study On Technical Analysis Of Selected FMCG Scripts With Reference To Annamalai Capital Services (P) Ltd., Coimbatore City
Authors: Et. al. Mehta Vani Joghee,
Published: January 2024

“Risk comes from not knowing what you’re doing.” – Warren Buffett The study in focus mainly concentrates on understanding the pricing patterns drawn by top five firms from Fast Moving Consumer Goods in National Stock Exchange using Technical Analysis. The price movements of the subjected companies are being observed by the implication of various technical indicators and charts over a pre-determined period. Through the study we could watch the turning points i.e. Trend creation which helps us to determine the buy and sell signals. This study also allows us to spot the resistance and support level of the underlying firm alongside identifying the better performing FMCG Company while comparing to that of others based on their price fluctuation
Authentication of Sub-NUMA Clustering effect on Intel Skylake for Memory Latency and Bandwidth
Authors: Et. al. Srikanta Kumar Mohapatra,
Published: January 2024

The search efficiency of in-memory databases depends significantly on how quickly DRAM data can be obtained. With an increasing multiple core on processors, it is more difficult to satisfy the requirement that all attached DRAM on a processor is equally accessible to any core. Intel has therefore implemented a Sub-NUMA Clustering (SNC) mode on Skylake, which subdivides cores and memories into various sub for enhanced core-to-memory access within each processor sub-domain. Similar modes are given by other models. When an in-memory database shares data between staff on cores in separate sub-domains, the use of SNC creates problems in how to manage database workloads among domains. In this research, we verify the effect of SNC specifically on Intel Skylake on memory latency and bandwidth. We conclude that two similarly broad analytical workloads are focused on different and fully independent sub-domains just up to 3 percent will improve query throughput and be totally isolated from each other. Often, as memory bandwidth is split into sub-domains rather than aggregated across the entire processor, bandwidth-sensitive analytical workloads significantly reduce application performance if data is not split equally among sub-domains.
Convergence Of Artificial Intelligence And Internet Of Things In Predictive Maintenance Systems – A Review
Authors: Et. al. Gopi Krishna Durbhaka,
Published: January 2024

Operations and Maintenance costs have always posed a heavy burden in wind turbines and the main aspects in spending are on unplanned unscheduled breakdowns, repairs and down time costs. Technology enhancements with connectivity between wind farms and operations control center would reduce risk and improve efficiency during maintenance by continuously analysing the data acquired.  Digital solutions of industrial internet of things and machine learning have made inroads and are the real game changers with the potential to supervise, predict and prevent catastrophic failures.  Generating the insights from the data to understand the wear pattern and to formulate replacement strategies for reducing frequent maintenance costs and to increase the production. This paper shall discuss and review about the prognostics and diagnostics of the wind turbines, machine learning algorithms, identifying their inter-dependency within the subsystems and the available digital solutions for effective handling of data in predictive maintenance schedules.
Comparative Analysis of Various Face Detection and Tracking and Recognition Mechanisms using Machine and Deep Learning Methods
Authors: Et. al. Prof. M. Seshaiah,
Published: January 2024

Recently, the security of individuals has become the prime concern for the human community. Various real-time security management systems are developed widely. Visual surveillance is considered as one of the promising technique to improve the security which helps to detect and recognize the objects. Numerous techniques have been developed for real-time video surveillance. Face detection, tracking and recognition is one of the important part of visual surveillance systems. The existing face detection schemes suffer from various challenging issues such as pose variations, illumination conditions and occlusion and many more. To overcome these issues, we have developed new schemes which includes Bayesian learning, Region Based Convolutional Neural Networks(RCNN) and GoogleNet based CNN model for face detection, tracking and recognition.  In this work, we compare the performance of proposed schemes with existing schemes for different datasets to conclude the robustness of proposed approach.
Life Extension Of Transformer Mineral Oil Using AI-Based Strategy For Reduction Of Oxidative Products
Authors: Et. al. Shripati Vyas,
Published: January 2024

The power system operational reliability depends on the proper functioning of transformers. The decreased quality of mineral oil deteriorates the insulation of the transformer results in the failure of the transformer. Thus, maintaining the quality of the mineral oil is a severe issue for power utilities. The major cause of mineral oil deterioration is the formation of oxidative products due to the over-temperature and overloading conditions. This research paper presents an artificial intelligence-based strategy for the reduction of oxidative products by regulating the temperature level accordingly. During the various critical operating conditions, the temperature sensor measures the temperature of mineral oil. The neural network is trained to recognise the various abnormal events according to increased temperature level.
Study on Service Quality of Insurance Companies -A comparative study.
Authors: Et. al. Dr Susheela Devi B Devaru,
Published: January 2024

: Quality of service matters a lot in retaining existing business as well as getting new business in the service industries.  Insurance being a service industry, it is needless to add that service quality is important.  Today’s complex business environment makes it an imperative to maintain high quality service, come what may.  Insurance sector is not an exception to the above rule.  This study makes a simple attempt to compare service quality in both the Public and Private sector insurance companies.  A sample of 107 responses from the existing policy holders belonging to both Public and  Private sector insurance companies have been elicited to estimate the quality of service in them.  Parameters such as Reliability, Confidentiality, Accuracy, Receptiveness to customer complaints, Quick complaint resolution, Receptiveness to customer suggestions, Innovations in products and services have been considered to estimate the service quality.  Non probability sampling method and convenience sampling technique has been used in this study.
The Effect of the Mobile Correspondent Strategy on the Achievement of Students of the College of Basic Education / Department of Science in the practical Subject of Algae and Fungi
Authors: Et. al. Rania Mohammed Jassam Hammadi,
Published: January 2024

The research aims to identify the impact of the strategy of the mobile correspondent on the achievement of students of the College of Basic Education / Department of Science in the practical subject of algae and fungi .

To achieve the goal of the research, the following null hypotheses were developed:

1- There is no statistically significant difference at the level of (0.05) between the average scores of the experimental group students who studied according to the mobile correspondent strategy and the average scores of the control group students who studied according to the usual method in the practical test of algae and fungi.

To achieve the goal of the research and its hypotheses, the researcher adopted the experimental design with two groups of experimental and control, one of them controlling the other partial control and those with a post-test to measure achievement and positive thinking. The current research community is represented by all the students of the third stage / Department of Science / Branch of Life Sciences / Colleges of Basic Education in Iraq for the academic year (2020-2021), The researcher chose the third-stage students of the Science Department / Life Sciences Branch in the College of Basic Education / Al-Mustansiriya University as an intentional sample, as the number of its members reached (83) students distributed between two classrooms (A and B).
Awareness of Chemical Innovations Among Teachers of Chemistry
Authors: Et. al. Rashwan Jalil Saeed Al-Mashkoor,
Published: January 2024

The current research aims to identify:

Awareness of chemical innovations among chemistry teachers.

Statistically significant differences in awareness of chemical innovations, according to the gender variable (males, females) and years of service (less than 15 years, more than 15 years).

In order to achieve the objectives of the research, the researcher adopted the descriptive research method, and the research community was identified and his sample was selected: Chemistry teachers in middle, middle and high schools affiliated to the General Directorate for Education in Al-Qadisiyah for the academic year (2020-2021) AD, and the research sample consisted of (400) teachers and a school of chemistry and by the fact ( 187) teachers, and (213) female teachers. A measure of awareness of chemical innovations was built and consisted of (54) items. The scale was applied to the research sample, and the results showed poor awareness of chemical innovations among chemistry teachers. The awareness of the chemical innovations was not affected by the variable of sex and years of service. In light of these results, the researcher developed a set of  recommendations and proposals.
Design & development of secured energy-efficient double-stage cooperative multi-path routing protocol in multi-hop co-operative WSNs to maximize the network lifetime & minimize energy consumption
Authors: Et. al. Anupama T.A,
Published: January 2024

In this research article, the development of a stable & secured energy efficient cooperative multi-path routing protocols for the WSNs using rejuvenated double stage cooperative multi-path routing protocols for effective transfer of data packets, to increase the network’s life-time and minimize the consumption of the energy, which is one of the proposed objectives. Here, design & development of an energy efficient dual stage cooperative routing protocol (DSCR) in multi-hop wireless networks maximizing the network lifetime, increasing the reliability and minimize the energy consumption, is being portrayed. The main objective of this article is to present an improvised / rejuvenated version of the dual stage data transfer scheme that computes the routing path by using cooperative mechanisms using the concept of reduced energies of the nodes. The work done is also compared with the work done by other authors in order to substantiate the effectiveness of the algorithm developed.  This objective also demonstrates the various results obtained for all the test cases along with the necessary observations and explanations in the form of discussions and diagrammatic representations.
Implementation of Intelligent Biometric Attendance System
Authors: Et. al. R. Nagarajan,
Published: January 2024

The deliver voice calls and SMS messages to parents through the Global System for Mobile Communication, as well as a report to the department head regarding the student's attendance. In this paper a fingerprint sensor is used for monitor the attendance. When a student places his/her finger in the sensor, the sensor reads the impression of the fingerprint and sends a control signal to the microcontroller, which compares the fingerprint to a reference fingerprint stored in the device. If it matches, the matching student's attendance will be registered. If a student's fingerprint is not recorded within a certain amount of time, a text message will be sent to their parents' phone number, and if they are chronically missing for longer than two days, a voice call will be sent to their parents' phone number. Under either event, where an invalid person enters a fingerprint, the fingerprint is shown on the liquid crystal monitor as unmatched.