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Centrality measures-based sensitivity analysis and entropy of nonzero component graphs
The nonzero component graph of a finite-dimensional vector space over a finite field is a graph whose vertices are the nonzero vectors in the vector space, and any two vertices are adjacent if the corresponding linear combination contains a common basis vector. In this paper, we discuss the centrality measures and entropy of the nonzero component graph and also analyze the sensitivity of the graph using the centrality measures. 2024 World Scientific Publishing Company. -
Some New Results on Non-zero Component Graphs of Vector Spaces Over Finite Fields
The non-zero component graph of a vector space with finite dimension over a finite field F is the graph G=(V,E), where vertices of G are the non-zero vectors in V, two of which are adjacent if they have at least one basis vector with non-zero coefficient common in their basic representation. In this paper, we discuss certain properties of the non-zero component graphs of vector spaces with finite dimension over finite fields and their graph invariants. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
New results on orthogonal component graphs of vector spaces over Zp
A new concept known as the orthogonal component graph associated with a finite-dimensional vector space over a finite field has been recently added as another class of algebraic graphs. In these types of graphs, the vertices will be all the possible non-zero linear combinations of orthogonal basis vectors, and any two vertices will be adjacent if the corresponding vectors are orthogonal. In this paper, we discuss the various colorings and structural properties of orthogonal component graphs. 2024 Azarbaijan Shahid Madani University. -
Modified carbon substrates for electrocatalytic oxidation of selected heterocyclic carbinols
Electrochemically modified carbon electrodes are used as a substrate for electrocatalytic oxidation of different heterocyclic carbinols. Carbon fiber paper (CFP) is newlineused as the electrode substrate on which various modifications are employed. Modified newlineelectrodes were prepared by using different surface modification strategies such as newlineelectrodeposition of Pd nanoparticles or Pd-Pt bimetallic nanoparticles on a conducting newlinepolymer, polyaniline which is electropolymerized on to CFP. Biomass derived porous carbon nanoparticle coated CFP was also used for electrodeposition of Pd nanoparticles or MnO2-Pi nanoparticles. These modified electrodes were physicochemically characterized by X-ray diffraction (XRD), Field emission scanning electron microscopy (FESEM) with energy-dispersive X-ray spectroscopy (EDS), Transmission electron microscopy (TEM), Raman spectroscopy, Fourier transform infrared (FTIR) spectroscopy, Optical profilometry and X-ray photoelectron spectroscopy (XPS) and electrochemically characterized using Cyclic voltammetry (CV) and Electrochemical impedance spectroscopy (EIS). This modification methods have attracted a lot of attention due to their exceptional stability, high electronic conductivity, mechanical strength, and good adhesive property to the substrate and to the modified electrode. The modified electrodes show excellent electrochemical and newlinephysicochemical properties which are demonstrated using various analytical techniques. The organocatalytic reagent, TEMPO is used as a mediator throughout the studies which helps to carry out the oxidation of organic molecules in an aqueous acidic medium. The developed electrodes have been successfully applied for the oxidation of different heterocyclic alcohol such as 4-pyridinemethanol, 2-thiophene methanol, and 2-Furfuryl alcohol to corresponding 4-pyridinemethanal, 2-thiophene methanol and 2-Furfural. -
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Coverage of Kasthurirangan report by Major Kerala newspapers: A study based on two national and regional newspapers /
This paper tries to evaluate the phenomenon of news-views coverageon Kasthurirangan Report in Print Media considering its peak discussed period that is, from November 2013 to January 2014. The time constraint made the researcher to restrict only to print media coverage in Kerala rather considering the other forms of media platform‟s coverage. -
Effect of Various Double-Frequency Modulations on Rayleigh-Benard Convection
Rayleigh-Bard convection in Newtonian fluid under different types of modulations are studied in this thesis by replacing the single frequency modulations with two frequency modulations with different amplitude and frequency. Linear and non-linear analysis of Rayleigh-Benard convection is considered under two-frequency gravity, rotation, temperature, magnetic field and internal heat generation modulation. The sixteen combinations of sinusoidal (trigonometric sine) and non-sinusoidal (square, triangular, sawtooth) wave forms of different modulations are considered to study the impact of modulations on the onset of convection and heat transport. The expressions for unmodulated Rayleigh number and correction Rayleigh number in the linear case are obtained from linearized Lorentz model using Venezian approach. To study the impact of different types of modulations and wave forms on the heat transport, the expression for the Nusselt number is obtained by solving the non-linear Lorentz model numerically. From the study it is found that the two-frequency modulations make the system more stable compare to no-modulation and single-frequency modulations. The mixing angle of the two frequency plays major role in deciding the stability of the system. The results pertaining to no-modulation and single frequency are obtained as the limiting cases. Onset of Rayleigh-Bard Convection and Heat Transfer under Two-frequency newlineRotation Modulation The study investigates the effect of sixteen sinusoidal (sine) and non-sinusoidal combinations (square, triangular, sawtooth) of time-periodic Coriolis force (rotation modulation) on Rayleigh-Bard convection (RBC) in a Newtonian liquid. The consideration captures the potential effects of two-frequency rotation modulation on stability, newlinespecifically the onset of convection and the amount of heat transfer in the system simultaneously. -
Relevance of comic books in the Indian context /
The purpose of the study is to find out whether comic books are still relevant in the minds of their Indian readers. With the advent of television, cellular phones, and the world wide web- readers of the 90’s had rapidly lost interest in these printed illustrations due to the lack of innovation and distribution. -
Actualization of educational vision of chavara by principals of congregation of mother of carmel (CMC) school as perceived by teachers inrelation to transformational leadership organizational socialization and organizational learning
Education is one of the most powerful instruments of desirable social changes and transformation. It plays a fundamental role in human, social and economic development. St. Kuriakose Elias Chavara. a transformational leader of the 19th Century strived to transform the society through education. This educational vision immensely contributed in the development of the archaic society of Kerala. The education envisaged by Chavara was a flawless blend of intellectual, practical and spiritual formation. He aimed at the growth of the individual from the narrow boundary of self and doing service for the society. The religious Congregations (CMI and CMC) which were established by Chavara play a vital role in the field of education. These Congregations made its mark in the Indian educational system by their systematic and excellent performance through their educational institutions. In this study, the author explores the Actualization of the Educational Vision of Chavara by the principals in CMC schools. Descriptive survey method was used in the study. The population consisted of all the teaching faculty members of CMC schools and the sample size was 844. The study includes the independent variables such as Transformational Leadership, Organizational Socialization and Organizational Learning and its influence in actualizing Chavara vision by the principals. The finding of the study reveals that, the independent variables channelize the actualization of Chavara vision in CMC schools. The study throws light on the educational field of the CMC Congregation and inspires to renovate the present educational system on the basis of Chavara vision. -
Actualization of educational vision of Chavara by principals of congregation of mother of carmel(CMC) schools as perceived by teachers in relation to transformational leadership, organizational socialization and organizational learning
Education is one of the most powerful instruments of desirable social changes and transformation. It plays a fundamental role in human, social and economic development. St. Kuriakose Elias Chavara, a transformational leader of the 19th Century strived to transform the society through education. His educational vision immensely contributed in the development of the archaic society of Kerala. The education envisaged by Chavara was a flawless blend of intellectual, practical and spiritual formation. -
Attitude towards the medical profession among higher secondary students in relation to medical aptitude, parental influence, peer influence and perceived social expectations
Attitude towards the Medical Profession includes concepts, motives or beliefs associated with the profession of medical science. Medical science is a profession that challenges the intellectual competency of the aspirant owing to the strenuous demands of the career. It is essential that possession of an appropriate attitude and a realistic understanding of the demands of medical science be a pre-requisite, especially if the higher secondary adolescent aspires this as his or her vocation for life. As theformation of attitude is based on several intrinsic and extrinsic factors, a profession like medical science faces stiff competition among candidates to qualify with high expectations from family and society. The current study throws light on the attitude of higher secondary students towards the profession of medical science in relation to medical aptitude, parental influence, peer influence and perceived social expectations, as the independent variables. It aimed to explore the role played by medical aptitude, parental influence, peer influence and perceived social expectations in the formation of attitude towards the medical profession and the differences in the formation of this attitude among higher secondary students based on their gender and type of pre-university college that they belonged to. The study adopted was a descriptive study-cum-survey that employed a quantitative approach using the paradigm of post-positivism. The participants for the study comprised of 396 second-year higher secondary students from pre-university colleges of Bangalore South, who were
selected by convenience sampling method. -
Attitude towards the medical profession among higher secondary students in relation to medical aptitude, parental innfluene, peer influence and perceived social expectations
Attitude towards the medical profession includes concepts, motives or beliefs associated with the profession of medical science. A profession that challenges the intellectual competency of the aspirant to qualify- with soaring expectations from family and society- the demands of the career entail the individual to possess an appropriate attitude and a realistic understanding of it. The current study explores the role of medical aptitude, parental influence, peer influence and perceived social expectations in the formation of attitude towards the medical profession and their differences among higher secondary students based on their gender and type of pre-university college. The study-cum-survey employed a quantitative approach using the paradigm of post-positivism. The participants comprised of 396 second-year pre-university students from colleges of Bangalore South, who were selected by convenience sampling, with Physics, Chemistry and Biology as their core subjects. The findings reveal peer influence to be essential in the development of professionalism and a sense of service mindedness. Parental influence and the higher secondary adolescent s perceived social expectations act as significant predictors in the formation of favourable attitude. However, gender and the type of pre-university colleges bear no significant difference with respect to their attitude towards the profession. The study has set a base on what needs to be focussed in our country on the next generation of medical professionals. It is hoped that educational and medical institutions, policy and curriculum drafters, parents and teachers realise that a combination of sound medical aptitude, parental influence, peer influence and perceived social expectations resonates in the formation of a favourable attitude towards medical science. Assessing those higher secondary students qualifying into medical science would enable to analyse differences that existed, if any, in their entry-level and post-qualifying attitude towards the medical profession. -
A comparison of distressed and non distressed married couples on marital quality emotional intelligence and conflict resolution styles /
Aim: To compare and study the marital quality, emotional intelligence and conflict resolution styles of distressed and non-distressed married couples; and to examine the interrelationships between these variables. Method: The study utilized a cross sectional, between group, mixed method research design. The sample consisted of 43 heterosexual married couples (N=86) in non-clinical settings, in the age range of 20-60 years, living in Bangalore, who met the inclusion and exclusion criteria, were
recruited through purposive/ snowball sampling. The participants were administered a demographic data sheet, the Marital Quality Scale (Shah, 1995), the Emotional Intelligence Scale (Schutte, Malouff, Hall, Haggerty, Cooper, & Golden, 1998), the Conflict Resolution Scale (Kurdek, 1994) and a Semi-structured Interview Schedule for qualitative data (prepared by the researcher). Quantitative and Qualitative analysis was carried out. The MQS cutoff score of 80 was used to divide the sample into distressed and nondistressed couples. Results: The two groups significantly differed on the conflict resolution styles. A significant relationship was found between marital quality and conflict resolution styles of distressed as well as non distressed group. There was a significant positive relationship between withdrawal as a
conflict resolution style and marital quality among distressed wives. Correlations between marital quality and conflict resolution styles among non-distressed couples showed that withdrawal had a significant positive relationship with the marital quality of the husband. From the correlation between the emotional intelligence and conflict resolution styles of
distressed couples, compliance had a significant positive relationship with the wife’s emotional intelligence. Among non-distressed wives conflictxii engagement was negatively correlated and positive problem solving was positively correlated with their emotional intelligence. Through the thematic analysis, multiple themes were identified as factors that are fundamental for a happy and long-term marriage and at the same time reveal the factors that can be detrimental to a successful marital
relationship. These themes, including the importance of emotional intelligence in marital quality and ways of conflict resolution were classified. The study has implications for clinical practice and marital research. The study findings can be used by counsellors and therapists in helping distressed couples, and for premarital counselling work with individuals and dating couples to improve the chances of their marital quality. The primary limitation of the study was its small sample size that limits the
ability to generalize the findings of the study. For future research a larger sample size can be considered to study the influence and impact in depth. The variables can be studied in different cultures to understand the cultural differences. -
A Model for storage optimization of brain MRI images for tumor detection using image processing technique
Magnetic Resonance Imaging (MRI) is a major non-invasive method for Brain tumor detection. The anatomical assessment of brain newlinetumor can be carried out using brain MRI image analysis. MRI is widely used in brain tumor identification and classification. Images generated during the diagnosis purpose are unattended after the specified diagnosis. newlineBrain MRI images in Digital Imaging and Communications in Medicine (DICOM) format require large amount of storage space. newlineAccumulation of the MRI images put forward the requirement of more storage space. To store large number of images, existing storage models has to be handled wisely. Research associated with storage, process and newlinemanipulation of medical image data using modern technologies with a minimal human intervention is the need of the time. Image processing deals with the study and development of innovative technologies for newlineanalysis,representation and interpretation of the image data. In this research, the need of an efficient storage model that can help in storing the brain MRI images is studied with the help of image processing technique. To store the brain MRI images with a reduced storage space, a matrix-based method is proposed. In this model brain MRI images in newlineDICOM format are converted into matrix format. In the DICOM images, the image data and header information together hold the details of the patient and image data. These data are converted and stored in the matrix. newlineThe stored matrix is accessed as the input to the proposed model. The proposed model follows different image processing steps.The process starts with pre-processing of brain MRI images followed by clustering of newlinewhite matter (WM), gray matter (GM) and cerebrospinal fluid (CSF), segmentation of tumor and classification of tumor and finally it handles the storage of the MRI images. In the pre-processing step, filtering algorithms are applied on MRI to remove the noise and text artifacts. The newlinewhite matter, gray matter and CSF are separated using the K-means newlineclustering method. -
Determinants of customer loyalty and retention : A Study of supermarket customers in Bangalore
Considering the ever dynamic lifestyle of the customers in Bangalore,the proposed study tried to find out the expectations and aspirations of supermarket customers in Bangalore.Most of the currently available studies are based on conceptual understanding and don t have an empirical backup. The proposed study is designed to determine the customer loyalty and retention of Supermarket Customers in Bangalore. newlineThe literature initiates an exhaustive discussion of various constructs leading to customer retention. Based on references from the literature constructs identified for customer retention are customer satisfaction, switching costs and customer loyalty and for customer loyalty the constructs identified are trust,commitment and customer satisfaction.For determining satisfaction the constructs identified in the proposed study are convenience of location, store atmosphere,promotion, customer relationship management practices and merchandise. Through extensive literature review,hypotheses were derived and the proposed conceptual model is developed. newlineObjectives of the proposed study are to empirically validate a model linking customer satisfaction, customer loyalty and customer retention with select antecedents. Research Methodology explains about the population spread from which the samples are collected, the justification for using the particular sampling technique and also about the tool employed for data collection. The techniques employed for checking the reliability and validity of the tool and pilot data analysis are also explained. Data collection was conducted using a structured questionnaire designed using Likert scale measurement. The pilot sample data consisted of 250 respondents.The questionnaires were analyzed using SPSS(v.20,software using Cronbach Alpha, Intra Class Correlation and Confirmatory factor analysis. newlineThe data collected from 600 respondents in Bengaluru city was used for the full fledged study. -
Classifying AI-generated summaries And Human Summaries Based on Statistical Features
In an age where artificial intelligence knows no bounds, it's crucial to know if the textual content is reliable. But, the task of identifying AI-generated content within vast volumes of textual data is a big challenge. The existing studies in feature-based classification only explored prompt-based text responses. This paper explores methods to identify AI-generated summaries using feature-based machine-learning techniques. This study uses the BBC News Summary dataset. The summaries for the dataset are then generated using three of the top-performing summarisation models. Different statistical features like Zipf's Law Score, Flesch Reading Ease Score, and the Gunning Fog Index are used for extracting features for the classification model. The aim is to differentiate AI-generated summaries from human-written summaries. The main part of the study involves extracting the statistical features from the summarized texts, which are then classified using different classification models. Different models like Support Vector Machine (SVM), Random Forest, Decision Tree, and Logistic Regression models are used in the paper. Grid Search is also used to fine-tune SVM for the best results. The right model depends on what the need is. Whether it's accuracy, F1 score, or a mix of both, there are different options to lead you to the truth. The feature-based approach in this paper helps in more explainable classification and can compare how statistical text features are different for human-written summaries and generated summaries. 2024 IEEE. -
Fake News Detection: An Effective Content-Based Approach Using Machine Learning Techniques
Fake news is any information fabricated to mislead readers to spread an idea for certain gains (usually political or financial). In today's world, accessing and sharing information is very fast and almost free. Internet users are growing significantly than ever before. Therefore, online platforms are perfect grounds to spread information to a broader section of society. What could circulate between a relative few can now circulate globally overnight. This advantage also marked the increase in the number of fake news attacks by its users, which is unsuitable for a healthy society. Therefore, there is a need for good algorithms to identify and take down fake information as soon as they appear. This paper aims at solving the problem by automating the process of identifying fake news using its content. Evaluation metrics like the accuracy of correct classification, precision, recall and f1-score assess the performance of the approach. The machine learning approach achieved its best performance with 96.7 percentage accuracy, 96.2 percentage precision, 97.5 percentage recall and 96.9 percentage f1 score on the ISOT dataset. 2022 IEEE. -
A study of CNN models for re-identification of vehicles
Vehicle Re-identification has evolved in recent times. Initially, clicking a single picture of a vehicle or a car was done manually, inviting the workforce to complete a specified task. With the growth in technology, the method and techniques in Vehicle Re-Id also have advanced, transforming from manual to automation. Surveillance cameras were used to capture vehicle images and retrieve information about a specific vehicle. Re-trieving and identifying the images of the vehicle is done using computer vision, the most important branch of computer science and artificial intelligence. Earlier, Vehicle Re-Id implemented a single algorithm on a dataset, making the corresponding result insufficient to determine its effects. This paper proposes a brief survey of multi-modal techniques and methods for vehicle re-identification and fingerprinting. The different attributes of the vehicle are considered for ANPR (Automatic number plate recognition) for identifying the number plate, focusing on the vehicle's details or features as the initial phase of identification, and then the vehicle number plate. 2023 IEEE. -
Improved Computer Vision-based Framework for Electronic Toll Collection
The world is moving towards artificial intelligence and automation because time is the most crucial asset in today's scenario. This paper proposes an automatic vehicle fingerprinting system that avoids long waiting times in toll plazas with the help of computer vision. The number plate recognition and vehicle re-identification focus on this research. Day/night IR cameras are used to get the images of the vehicle and its number plate. The VeRi776 datum, which contains real-world vehicle images, is used to facilitate the research of vehicle re-identification. The proposed framework employs Siamese model architecture to identify the attributes such as color, model, and type of vehicle. The Car License Plate Detection datum is used to evaluate the efficiency of the proposed license plate recognition system. An ensemble of image localization techniques using CNNs and application of the OCR model on the localized snapshot is used to recognize the vehicle's license plate. A combination of license plate recognition and vehicle re-identification techniques is used in the proposed framework to improve the efficiency of identifying vehicles in toll plazas 2022 IEEE. -
Hybrid homomorphic-asymmetric lightweight cryptosystem for securing smart devices: A review
The Internet of Things (IoT) has emerged as a new concept in information and communication technology, and its structure depends on smart device communications. It was evolving as a significant factor of the Internet and made the interconnection of huge devices likely, accumulating huge amounts of information through innovative technologies. Thus, the requirement for IoT security is more significant. Scalable services and applications are susceptible to information leakage and attacks, demanding higher privacy and security. Cryptography is a technique to secure data integrity, confidentiality, authentication, and network access control. Owing to several limitations of IoT devices, the classical cryptographic protocols are not appropriate for all IoT smart devices like smart cities, smart homes and so forth. Consequently, researchers have introduced numerous lightweight cryptographic (LWC) protocols and algorithms for IoT security. Numerous solutions are available in the research field regarding security using cryptographic algorithms in IoT environments; however, such solutions have not attained satisfactory outcomes. So, finding a solution by examining the recent issues is open research. This article investigates the various LWC protocols for IoT devices and provides a reasonable enquiry into existing ubiquitous ciphers. Furthermore, the article appraises various recently presented lightweight (LW) block ciphers and hybrid homomorphic LWC regarding security. In addition, this article assists in comprehending the significance of security features and progression in cryptographic algorithms. Finally, the article reports on the necessary changes and recommends upcoming research focuses. Also, this article assists in realizing the importance of security and progressions in cryptographic algorithms. 2023 John Wiley & Sons, Ltd.