DOES SOCIAL MEDIA PROMOTES NON-DECEPTIVE COUNTERFEITING? EMPIRICAL EVIDENCES FROM INDIA

Ritu Raj,Saurabh Verma,Sunil Kumar Yadav 글로벌지식마케팅경영학회 2023 Global Marketing Conference Vol.2023 No.07

Social media has become popular in both business and research as many studies have explored the impact of this medium on the purchase behavior of consumers but surprisingly not in the domain of counterfeiting. Social media has become a significant part of today's lifestyle and it has created new channels for brand manufacturers and consumers to communicate. The present study tries to assess the impact of social media determinants on counterfeit purchase intention. The study explored three factors of social media namely social media platform, user-generated content, and social media word of mouth. Further, the study checks for the mediation effect of consumer attitude between social media determinants and purchase intention. The data for the present study were collected from three metropolitan cities of India namely Delhi, Kolkata, and Mumbai. The PLS-SEM was used on 406 respondents for further analysis and validation. The results revealed that there is a significant relationship between social media platforms, user-generated content, and purchase intention. However, an insignificant relationship was found between social media word of mouth and purchase intention. Further, the study suggested that attitude mediates the relationship between social media determinants and the purchase intention of consumers towards the purchase of counterfeit products in India.

Two- and Three-Input Fuzzy PID Controller Structure of Takagi-Sugeno Type

Ritu Raj,Pushparaj Mani Pathak,Garima Bhandari,Jung-Min Yang 제어로봇시스템학회 2019 제어로봇시스템학회 국제학술대회 논문집 Vol.2019 No.10

In this paper, we analyze and present a general structure of fuzzy PID controller of Takagi-Sugeno (TS) type having two and three inputs. We show that while three-input fuzzy PID controller gains have an one-to-one relation with the conventional controller gains, this relationship is not directly evident in the case of two-input fuzzy PID controllers. The tuning of input/output scaling parameters of the presented fuzzy PID controllers is addressed based on the structure of conventional PID controllers.

Synthetic image augmentation with generative adversarial network for enhanced performance in protein classifi cation

Rohit Verma,Raj Mehrotra,Chinmay Rane,Ritu Tiwari,Arun Kumar Agariya 대한의용생체공학회 2020 Biomedical Engineering Letters (BMEL) Vol.10 No.3

Proteins are complex macromolecules accountable for the biological processes in the cell. In biomedical research, the imagesof protein are extensively used in medicine. The rate at which these images are produced makes it diffi cult to evaluate themmanually and hence there exists a need to automate the system. The quality of images is still a major issue. In this paper, wepresent the use of diff erent image enhancement techniques that improves the contrast of these images. Besides the qualityof images, the challenge of gathering such datasets in the fi eld of medicine persists. We use generative adversarial networksfor generating synthetic samples to ameliorate the results of CNN. The performance of the synthetic data augmentationwas compared with the classic data augmentation on the classifi cation task, an increase of 2.7% in Macro F1 and 2.64%in Micro F1 score was observed. Our best results were obtained by the pretrained Inception V4 model that gave a fi vefoldcross-validated macro F1 of 0.603. The achieved results are contrasted with the existing work and comparisons show thatthe proposed method outperformed.

Development of chitosan-catechol conjugates as mucoadhesive polymer: assessment of acute oral toxicity in mice

Loveleen Kaur,Ritu Raj,Ajay Kumar Thakur,Inderbir Singh 환경독성보건학회 2020 환경독성보건학회지 Vol.35 No.3

Development of modified polymers is the focused area of research for developing stable, effective, sustainable and economical polymeric materials for developing different drug delivery systems. Modification of chitosan by catechol functionalization is useful for developing chitosan derivative with the improved mucoadhesive property. Present study was designed to perform single dose acute oral toxicity on chitosan-catechol conjugates in Swiss albino mice as per international guidelines. Oral administration of modified chitosan did not exhibit any significant change in body weight, behavioural pattern, haematology, food intake and clinical symptoms in the experimental animals. In the histopathological study, no pathological changes were observed in the vital organs of mice when administered perorally with 300 mg/kg and 2,000 mg/kg body-weight doses of chitosan-catechol polymeric conjugates. Overall, it was concluded from the acute oral toxicity study that the oral administration of chitosan-catechol conjugates in mice did not produce any toxicity. Hence, chitosan-catechol conjugates could be designated and recommended as safe polymeric material for developing different drug delivery systems.

EDNN based prediction of strength and durability properties of HPC using fibres & copper slag

Gupta, Mohit,Raj, Ritu,Sahu, Anil Kumar Techno-Press 2022 Advances in concrete construction Vol.14 No.3

For producing cement and concrete, the construction field has been encouraged by the usage of industrial soil waste (or) secondary materials since it decreases the utilization of natural resources. Simultaneously, for ensuring the quality, the analyses of the strength along with durability properties of that sort of cement and concrete are required. The prediction of strength along with other properties of High-Performance Concrete (HPC) by optimization and machine learning algorithms are focused by already available research methods. However, an error and accuracy issue are possessed. Therefore, the Enhanced Deep Neural Network (EDNN) based strength along with durability prediction of HPC was utilized by this research method. Initially, the data is gathered in the proposed work. Then, the data's pre-processing is done by the elimination of missing data along with normalization. Next, from the pre-processed data, the features are extracted. Hence, the data input to the EDNN algorithm which predicts the strength along with durability properties of the specific mixing input designs. Using the Switched Multi-Objective Jellyfish Optimization (SMOJO) algorithm, the weight value is initialized in the EDNN. The Gaussian radial function is utilized as the activation function. The proposed EDNN's performance is examined with the already available algorithms in the experimental analysis. Based on the RMSE, MAE, MAPE, and R² metrics, the performance of the proposed EDNN is compared to the existing DNN, CNN, ANN, and SVM methods. Further, according to the metrices, the proposed EDNN performs better. Moreover, the effectiveness of proposed EDNN is examined based on the accuracy, precision, recall, and F-Measure metrics. With the already-existing algorithms i.e., JO, GWO, PSO, and GA, the fitness for the proposed SMOJO algorithm is also examined. The proposed SMOJO algorithm achieves a higher fitness value than the already available algorithm.

Experimental study of wind-induced pressures on tall buildings of different shapes

Suresh K Nagar,Ritu Raj,Nirendra Dev 한국풍공학회 2020 Wind and Structures, An International Journal (WAS Vol.31 No.5

The modern tall buildings are often constructed as an unconventional plan and as twin buildings. Wind load on the tall building is significantly influenced by the presence of another building in the near vicinity. So, it is imperative to study wind forces on an unconventional plan shaped tall building. Mean wind pressure coefficients of a square and ‘H’ plan shape tall buildings are investigated using wind tunnel experiments. The experiments were carried out for various wind directions from 00 to 900 at an interval of 300 and various locations of the identical interfering building. The experimental results are presented at the windward face from the viewpoint of effects on cladding design. To quantify the interference effects, interference factors (I.F) are calculated. Mean pressure coefficients of both models are compared for isolated and interference conditions. The results show that pressure reduces with an increase in wind angle till 600 wind direction. The interfering building at full blockage interference condition generates more suction than the other two conditions. The interference factor for both models is less than unity. H-plan building model is subjected to a higher pressure than the square model.

Wind tunnel study of a fish-plan shape model under different isolated wind incidences

Supriya Pal,Rahul Kumar Meena,Ritu Raj,S. Anbukumar 한국풍공학회 2021 Wind and Structures, An International Journal (WAS Vol.33 No.5

This paper presents the results of an experimental investigation performed at an open circuit boundary layer wind tunnel carried out with the purpose to evaluate the performance of a solitary “Fish-plan shape” building model for various angles of wind incidences with a mean wind velocity of 10 m/s and turbulence intensity of 12%. Mean pressur coefficients of all the faces are calculated from pressure values for each direction of wind incidence and pressure contours are plotted and explained in detail for all faces. Detailed analysis of peak and average mean pressure coefficient for each face is carried out. From the present experiment, it is observed that at 00 wind incidence face-value of the windward face is lesser than for the standard square model at IS 875 (Part 3) 2015. The study also presents higher magnitudes of peak suction and pressure coefficients at skewed angles of wind incidences i.e., 300, 600, 1200, and 1500 due to stagnation of fluid near the adjacent edge of depressed exposed faces. The magnitude of the overturning moment in across wind direction is dominating the overall behavior of the model due to the unsymmetrical cross-sectional shape of the model in across-wind direction. The orientation of the building at 900 to wind incidence should be avoided due to the peak magnitudes of CMD, CML, and CMT as compared to other wind directions.

Genetic variability, associations, and path analysis of chemical and morphological traits in Indian ginseng [Withania somnifera (L.) Dunal] for selection of higher yielding genotypes

Srivastava, Abhilasha,Gupta, Anil K.,Shanker, Karuna,Gupta, Madan M.,Mishra, Ritu,Lal, Raj K. The Korean Society of Ginseng 2018 Journal of Ginseng Research Vol.42 No.2

Background: The study was carried out to assess the genetic variability present in ashwagandha and to examine the nature of associations of various traits to the root yield of the plant. Methods: Fifty-three diverse genetic stocks of ashwagandha (Withania somnifera) were evaluated for 14 quantitative characteristics. Analysis of variance, correlation, and path coefficient analysis were performed using the mean data of 2 years. Results: Analysis of variance revealed that the genotypes differed significantly for all characteristics studied. High heritability in conjunction with high genetic advance was observed for fresh root weight, 12 deoxywithastramonolide in roots, and plant height, which indicated that selection could be effective for these traits. Dry root weight has a tight linkage with plant height and fresh root weight. Further, in path coefficient analysis, fresh root weight, total alkaloid (%) in leaves, and 12 deoxywithastramonolide (%) in roots had the highest positive direct effect on dry root weight. Conclusion: Therefore, these characteristics can be exploited to improve dry root weight in ashwagandha genotypes and there is also scope for the selection of promising and specific chemotypes (based on the alkaloid content) from the present germplasm.