Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

There is an increasing presence of ‘femvertising’ in the media; an advertising style that highlights women’s talents, centers themes on pro-woman messaging and counters stereotyping. However, no systematic attempt has been made to establish the reasons leading to its increasing social acceptance. This article identifies the major factors leading to femvertising: (1) growing activism around the better representation of women in advertising; (2) brand activism and conscious capitalism; (3) the criticism of corporate and commodity feminism; (4) increasing awareness of gender stereotyping; (5) and increasing scrutiny by regulatory bodies on gender role representations in advertising. We conclude that femvertising is a phenomenon resulting from the combined effect of the five factors above. We propose that future studies in femvertising should address the remaining issues of lack of authenticity, dilution of feminist discourse, interconnection with social movements as well as linkages to increased representation of women in advertising, both to construct a full picture of the current state of femvertising and to understand its future configuration in a shifting social and ideological environment. © 2020 Informa UK Limited, trading as Taylor & Francis Group.

World University root node

Department of Social Sciences

School of Social Sciences & Languages

Vellore Campus

Feminist Media Studies

Feminism in advertising: irony or revolution? A critical review of femvertising

The new trend of pro-woman, counterstereotype advertisements termed ‘femvertising’ is gaining popularity and social acceptance. Social cognitive theory postulates that children learn from social experiences including those from media by identifying with other individuals, observing such models, processing their behaviour and later imitating such behaviour most often in a way considered gender-appropriate by society. We conducted an experiment in India, a collectivist society with a strong patriarchal culture, to test the effects of advertisements on the self-esteem of adolescent boys and girls and to examine the impact of media strategies applied in the classroom and aimed at stereotype reduction. In the study, adolescent boys and girls were randomly treated with stereotypical, neutral or femvertising ads. A three-way mixed ANOVA identified a significant effect of treatment and time in the femvertising group. The study demonstrates the efficacy of femvertising ads depicting women empowerment and counterstereotype imagery as classroom aids, as part of media strategies to minimize the effects of gender bias at homes and communities, and to enhance gender sensitization. © 2020 Elsevier Ltd

Children and Youth Services Review

Femvertising as a media strategy to increase self-esteem of adolescents: An experiment in India

In today's era, an exponential rise in technology is changing our lives essay. Tens of millions of devices are getting connected to the internet every day. This extensive growth of the internet and increasing number of interconnected devices has given a rise to many new-age technologies. The internet of things (IoT) provides an innovative means of communication amongst these new-age technologies and the web world. Cloud computing enables a convenient, on demand and scalable network access to a shared pool of configurable computing resources. Integrating cloud computing with internet of things brings the concept of cloud of things. The cloud of things framework is based on a combination of ubiquitous distributed sensing units, outcomes stored in the cloud for awareness. This paper surveys a comparative study on internet of things and cloud of things demonstrating how cloud of things has prevalent benefits over internet of things. Also, this paper explains how introduction of fog computing concept in cloud and IoT improves efficiency of cloud of things. © 2019 Inderscience Enterprises Ltd.

Department of Software Systems

School of Computer Science and Engineering

VIT Unitversity

International Journal of Cloud Computing

A survey: comparative study on internet of things and cloud of things

The main purpose of this study is to investigate additive manufactured Inconel super alloy subjected to cryogenic treatment (CT). Cryogenic treatment is mainly used in aerospace, defense and automobile application. Direct metal laser sintering is an additive manufacturing technique used for manufacturing of complex and complicated functional components. Inconel is an austenitic chromium nickel based super alloy often used in the applications which require high strength & temperature resistant. In this work, a study is carried out on microstructure and mechanical properties of additive manufactured Inconel 718 when subjected to cryogenic treatment at three different time intervals. The micro-structural evolution of IN718 super-alloy before and after CT was investigated by both optic microscope and scanning electron microscope. Surface roughness and hardness at different CT time intervals has also analyzed. Additionally, XRD technique was used to analyze the surface residual stress. The result shows after three cycles of cryogenic treatment, the hardness of Inconel 718 has been substantially improved at room temperature. Microstructure shows grains in one of the test condition, a larger number of refined and uniformly distributed strengthening precipitates which dispersed along the dislocation lines and grain boundaries and 26.9 % increase in macro hardness on surface. Micro hardness has been analyzed and found 30 % increase on surface of material due to effect of hardened matrix formed by precipitation hardening and grain size refinement. © 2019 SAE International. All Rights Reserved.

Department of Design and Automation

School of Mechanical Engineering

Department of Manufacturing Engineering

SAE Technical Paper Series

Effect of Cryogenic Treatment on Inconel 718 Produced by DMLS Technique

k-anonymization is a vital mechanism for protecting privacy in publishing of data. Though a large amount of work has been done, everybody has taken only single static unleash. As data is getting accumulated, data needs to be anonymized differently for different recipient or different purpose. In this context, an individual's anonymtity will get unintentionally compromised if data receiver examines all the releases published or different receivers conspire themselves even when all releases get k-anonymized properly. Major challenges need to be faced while preventing such correspondence attacks. In this paper, we describe various attacks in anonymizing incrementally updated records. © 2018 American Scientific Publishers. All rights reserved.

Journal of Computational and Theoretical Nanoscience

Attacks in Anonymizing Incrementally Updated Data Records

Data captured by satellites is increasing exponentially for agriculture and crop management, health, climate changes and future prediction of plants. Nowadays, it is required to have reliable, automated, satellite image classification and recovering system. Every day there is a massive amount of remotely-sensed data being collected and sent by satellite. Many retrieval systems are proposed for image content and information retrieval. However, the output of these approaches is generally not up to expectation. In this work, a new approach, remote sensing image retrieval scheme by content base image retrieval with grid computing and advanced database concepts are used and this will help to speed up both input processing and system response time. This paper presents the idea of the parallel processing of input data, queries, and storing images in the database using advanced database concept like B+ or BST trees. © 2018 Inderscience Enterprises Ltd.

Department of Embedded Technology

School of Electronics Engineering

International Journal of Information and Communication Technology

Remote sensing image retrieval using object-based, semantic classifier techniques

One important and challenging problem in human interaction is the communication between those individuals who are vocationally and visually disabled. The challenge involved here involves a peculiar case where the person who is vocationally disabled and uses sign language using hand gestures to communicate cannot talk with the person who is visually impaired as the visually impaired patient cannot see and comprehend the sign language as exhibited by the vocationally impaired patient. Natural sign language processing has motivated many such implementations where one can communicate directly but the attempts made for the same have proven to be highly expensive though effective but infeasible. The proposed system is that we introduce electronic device pecking system that can transmit voice after receiving signals from the other people for the communication to take place. The advantage is that communication becomes easier between a blind and other disabled people (Anbarasi Rajamohan, et al., International Journal of Scientific Engineering and Technology 2, 336). It is cost effective so everyone can afford it. The device receives the signals that are being sent by the other disabled persons and manipulates and processes it and sends out a voice signal to the blind person for the communication to occur. The voice module decrypts the received code or signal to speech conversion. Data acquisition software reads the structured measurements packets sent through the serial port and stores them in a human readable format (ASCII text). Collected data is processed and features are extracted and then are collected by the pattern recognition system for classification and then sent to the voice module where it sends out a voice to the blind. © 2018 American Scientific Publishers. All rights reserved.

Department of Database Systems

Communication System for Vocationally and Visually Disabled People Using Embedded System

Recent monsoon failures and reduced rain falls urge the environmental and ecology researchers to concentrate on the land cover changes. Significant and efficient way to monitor the land cover changes is satellite image classification. This work describes the combination of remotely sensed data, LANDSAT and ENVISAT images, to improve the classification accuracy. Instead of predictor space, embedding space is considered in the proposed KNNES and SVMES methods and applied for the classification of combined LANDSAT and ENVISAT datasets. Genetic algorithm-based (GA) feature selection is adopted to enhance the proposed classification methods. Classification of land cover changes of the study area are identified as used land, unused land, forest and vegetation. Proposed methods are evaluated by an accuracy analysis which follows good practice recommendations. Accuracy is quantified by reporting standard errors, i.e., producer accuracy, user accuracy, omission error and commission error. Performance of the proposed SVM and KNN-based methods using GA-based feature selection for combined dataset is improved significantly and provide overall accuracy 80% and 76% respectively. © 2017 Inderscience Enterprises Ltd.

International Journal of Bio-Inspired Computation

Genetic algorithm-based feature selection for classification of land cover changes using combined LANDSAT and ENVISAT images

For centuries, cancer has been a threat to human lives. It has become one of the leading causes of death since many decades. The early detection of cancer can contribute much to reduce the morbidity rate of the disease. The goal of mammography is the early detection of breast cancer, usually through the detection of featured masses and/or micro calcification. In this paper, we proposed a methodology to detect tumors on digital mammograms. To proceed with the work, we focus on image pre processing. It is done using a scheme (a) mammogram enhancement and (b) mammogram segmentation. The first stage involves enhancement which can be outlined as enhancing the quality of the image to a much apprehensible and a better level. The second stage pertains to improving the global contrast of an image using image’s histogram. The final stage includes the segmentation to change the image representation into a form which is more substantive and easier to analyze. The experimentation of these methods is performed on mammograms of MIAS database. © IAEME Publication.

Department of Software and Systems Engineering

School of Information Technology and Engineering

Department of Information Security

International Journal of Civil Engineering and Technology

A computer aided system to detect breast masses using digital mammograms

AbstractThe present study adopts a quasi-experimental design to evaluate the impact of perceived parental differential treatment towards 30 non-disabled siblings of children with cerebral palsy 7–10 years of age. Standardised inventories such as, the Stanford-Binet Intelligence Test (SBIT), the Connors Parent Rating Scale-Revised (CPRS) and the Draw-a-Family test were used pre and post intervention. Scheduled interviews were used for parents and children to obtain information regarding family cohesiveness. A special program was designed to structure the home environment and to maximise parental involvement that catered to the “needy child” and this was implemented for 6 months after which the children were reassessed. Prior to the intervention, we observed deficits in cognitive skills and siblings had concerns in hyperactivity and oppositional behaviour. Scheduled interviews with siblings elicited responses that represented neglect, perceived differential treatment and negative emotional well-being. Projective tests revealed that family dynamics were disturbed and chaotic. Post intervention, we observed significant differences in the cognitive orientation, behavioural engagement and also in the interpersonal relationship within the family. We may conclude therefore, that parental involvement significantly predicts academic and psychosocial adjustment of siblings and this is an important implication for practitioners in developing early intervention programs.

Fulltext

International Journal on Disability and Human Development

Perceived parental differential treatment, cognition, behaviour and family cohesiveness among siblings of children with cerebral palsy? A family-mediated intervention to understand “displaced” children

Background: Perfectionism is a multifaceted concept. It had both advantages and disadvantages. Perfectionistic traits have been associated with leadership and very intellectual people. The present study is an attempt to understand if engineering students possess perfectionistic orientation and whether it influences self-efficacy, social connectedness, and achievement motivation. Materials and Methods: The present study adopts a random sampling design to evaluate the presence of perfectionism as a personality trait among undergraduate engineering students (N = 320). Standardized inventories such as Almost Perfect Scale-Revised were administered first to identify perfectionists and second to differentiate the adaptive from the maladaptive perfectionists. Scheduled interviews were conducted with students to obtain information regarding birth order and family functioning. Results: Findings from the study reveal that there were a significant number of maladaptive perfectionists and that they experienced higher levels of personal and societal demands leading to a negative emotional well-being in comparison to the adaptive perfectionists. We also observed that first-born children were more likely to display a perfectionistic self-presentation and from scheduled interviews, we understood that paternal influences were stronger when it came to decision-making and display of conscientiousness. Conclusion: The study draws on important implications for helping students to understand perfectionism and to respond to demands of the family and societal subsystems in a positive and an adaptive manner. © 2016 Indian Psychiatric Society | Published by Wolters Kluwer - Medknow.

Indian Journal of Psychological Medicine

Does birth order and academic proficiency influence perfectionistic self-presentation among undergraduate engineering students? A descriptive analysis

This research work describes the region-based approach for satellite image classification to extract land use details in the Vellore District of Tamil Nadu, India. The objective is to find the greenery and used lands of the study area by classifying the satellite imagery using fuzzy-based, K-nearest neighbourhood, support vector machine classification methods and spectral information of a LANDSAT satellite image. The LANDSAT image is applied along with the image processing algorithms to get classified image. These algorithms are implemented and the objects are identified. These identified objects and ground truth values of study area are compared. By comparing producer's accuracy, user's accuracy, omission error and commission error, the overall accuracy is calculated and the algorithm which gives the better performance is identified for LANDSAT image of the study area, Vellore District, Tamil Nadu, India. © 2016 Inderscience Enterprises Ltd.

International Journal of Enterprise Network Management

Accuracy analysis of various classification algorithms for used land

AbstractThe present study adopts a randomized experimental design to evaluate the impact of a father-mediated therapy to improve the play skills, affect, language, social skills and behavior among 30 clinically diagnosed autistic children at the age of 3-5 years. Standardized inventories such as, The Play Based Observation (PBO), The Griffiths Mental Developmental Scales (GMDS), The Vineland Social Maturity Scale (VSMS) and the Rendel Shorts Questionnaire were administered pre and post intervention. A special program that involved fathers in the caregiving and nurturing processes of these children was designed and implemented for 6 months after which the children were reassessed. Prior to the intervention, deficits in play skills and developmental delays across expressive and receptive language were observed. Scores on the Vineland Social Maturity Scale and the Rendel Shorts revealed behavioral markers. Post intervention, we noticed significant differences in the play, language acquisition, social engagement and behavior in the treatment group in comparison to the control group. The results suggested that father-mediated therapeutic involvement significantly has proven to positively foster development in young autistic children and this is an important implication for practitioners in developing early intervention programs.

Journal of Special Education and Rehabilitation

Does Father Involvement Influence the Affect, Language Acquisition, Social Engagement and Behavior in Young Autistic Children? An Early Intervention Study