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Dhiman Chattopadhyay,Sriya Chattopadhyay 한국언론학회 2019 Asian Communication Research Vol.16 No.1
Previous studies have found the presence of colorism, especially a bias toward fair-skinned women in India’s newspaper matrimonial advertisements where fair-complexioned women are considered more beautiful than those with a darker skin complexion. Most matrimonial advertisements in newspapers are posted by family elders such as parents of prospective brides. This study explored if the rise of online matrimonial portals has empowered marginalized members of families such as prospective brides by giving them greater access to, and control over, posting matrimonial ads, and whether who posts these ads has made a difference to how women are projected in the online ads. Textual analysis of 150 online matrimonial ads indicated that younger women such as would-be brides posted more ads in online media, compared to older family members. Further, irrespective of who posted the ads, there was less overt focus on physical attributes of women such as fairness of skin, but colorism was present in more subtle forms. Finally, the online ads posted by both prospective brides, and their parents, were unable to entirely break free from shackles of socially constructed patriarchal norms where women’s physical attributes such as fair skin are considered critical qualities. Findings were consistent with the tenets of Critical Race Theory that colorism is an ingrained feature of social systems and is constantly negotiated based on a group’s own social interests.
Dhiman Deb Chowdhury 한국유통과학회 2015 Asian Journal of Business Environment (AJBE) Vol.5 No.1
Purpose – While studying the topic of seeking behavioral excellence (proactive and creative competence) in organization, scholars have presented a variety of literature sprinkled with countless theories on behavioral competence. Research design, data, and methodology - Foremost among the several theories on this topic are two distinct sets of behavioral theories: OCB (Organizational Citizenship Behavior) and Constructive Deviance. Both of these theories attempt to posit their usefulness in positive organizational outcomes (such as organizational effectiveness, quality, performance, and innovations). Results - However, their proposed constructs are opposing and studies are conducted in isolation, thereby creating a significant literature gap and omitting the possibility of being inclusive of the best that both OCB and constructive deviance have to offer. Conclusions - The article bridges the gap by critically examining OCB and constructive deviance and including a consideration of other empirical studies in an attempt to be comprehensive while, at the same time, seeking to find an effective behavioral construct that is both appropriate and conducive for positive organizational outcomes in the context of the current business environment
Dhiman, S.S.,Selvaraj, C.,Li, J.,Singh, R.,Zhao, X.,Kim, D.,Kim, J.Y.,Kang, Y.C.,Lee, J.K. Butterworths [etc.] ; Elsevier Science Ltd 2016 Fuel Vol.183 No.-
This study evaluates the phytoremediation potential of canola biomass, which was grown on soils contaminated by several metals. The increase in metal concentration was measured in different parts of the growing biomass. Nearly 95mg zinc/kg soil of the zinc supplied to the soil accumulated within the roots of canola. To test the suitability of the canola biomass for bioethanol production, a saccharification was performed after phytoextraction of metals. Armillaria gemina and Pholiota adiposa were co-cultured to obtain a highly active lignocellulase cocktail. Saccharification yields (SY) of 71.8% and 74.4% were obtained with biomass contaminated with nickel and copper, respectively. Under similar conditions, Celluclast® 1.5L in combination with commercial β-glucosidase resulted in a SY of 73.4%. Fermentation using the hydrolysate of canola biomass used in the phytoremediation yielded 68.9% of bioethanol. To our knowledge, this is the first study where canola biomass used for phytoremediation was tested for bioethanol production through saccharification.
Middleware for providing activity-driven assistance in cyber-physical production systems
Hitesh Dhiman,Carsten Rocker 한국CDE학회 2021 Journal of computational design and engineering Vol.8 No.1
Assistance is becoming increasingly relevant in carrying out industrial work in the context of cyber-physical production systems (CPPSs) and Industry 4.0. While assistance in a single task via a single interaction modality has been explored previously, crossdevice interaction could improve the quality of assistance, especially given the concurrent and distributed nature of work in CPPSs. In this paper, we present the theoretical foundations and implementation of MiWSICx (Middleware for Work Support in Industrial Contexts), a middleware that showcases how multiple interactive computing devices such as tablets, smartphones, augmented/virtual reality glasses, and wearables could be combined to provide crossdevice industrial assistance. Based on activity theory, MiWSICx models human work as activities combining multiple users, artifacts, and cyber-physical objects. MiWSICx is developed using the actor model for deployment on a variety of hardware alongside a CPPS to provide multiuser, crossdevice, multiactivity assistance.
Recognition and Classification of Human Actions Using 2D Pose Estimation and Machine Learning
Monika Dhiman,Akash Sharma,Sarbjeet Singh 한국정보과학회 2022 Journal of Computing Science and Engineering Vol.16 No.4
Recognition and classification of human actions is a fundamental but difficult computer vision task that has been studied by several researchers worldwide in recent years. Pose estimation is a widely used technology for recognizing human actions. It has several applications, especially in the field of computer vision, where it can be used to recognize basic as well as complex human actions. This research provides a novel framework for identifying and classifying human actions which include five categories: standing, walking, waving, punching, and kicking. The dataset used for recognition and classification purposes is generated using the videos that are recorded using a smartphone and a 2D pose estimation technique has been applied to extract the features from the human body. The machine learning (ML) classifiers have been trained on a custom-built dataset. While all algorithms nearly performed well in the classification task, the light gradient-boosting machine (LGBM) outperformed the rest in terms of accuracy (98.80%).
Solvability of some non-linear functional integral equations via measure of noncompactness
Deepak Dhiman,Lakshmi Narayan Mishra,Vishnu Narayan Mishra 장전수학회 2022 Advanced Studies in Contemporary Mathematics Vol.32 No.2
In this study, we establish some results related to the existence of solutions for nonlinear functional integral equations, by Darbo's fixed point theorem in Banach algebra, which contains several functional integral equations that arise in mathematical analysis. As an application, we also provide an example of functional integral equations.