Mood recognition emotion ontology with texts
Emotion can be expressed in many ways where we can see recognition from speech, image or video frames, facial expression, gestures. Deep Learning has increasing attention to its significant processing power. The rapid development and universal availability of Social Media analyzing these data using traditional tools and technologies are tough to examine the fundamental behavior of occurrence in networking sites. Emotion detection in the text files is essentially content in social media. In this paper, we are seeing emotion recognition based on textual data and the techniques are the basic operation of arithmetic such as addition and statements of for loop, else if condition with deep learning and its features.
Published by: Jacquelin Anushya P., P. Nisha Priya
Author: Jacquelin Anushya P.
Paper ID: V6I4-1453
Paper Status: published
Published: August 25, 2020
The effect of activities of daily living on depression among elderly people
Age is an important determinant of mental health. Depression creates the greatest burden among the elderly when compared to other mental disorders. Depression decreases an individual’s quality of life and increases dependence on others. A descriptive study to assess the effect of activities of daily living on depression among elderly people in selected community settings, Coimbatore. Methods: The study was conducted in the Vagarayanpalayam area of the community in Coimbatore, The sample size consists of 50 elderly aged between 60-80 years. Non-probability convenience sampling technique was used. The level of depression, the functional ability was assessed by using a modified geriatric depression scale, modified Barthel ADL index. Results: It was found that there is a significant association between depression and activities of daily living among elderly people at p<0.005. It was found that the calculated ANOVA test value for the study group,10.08 for the age group,25.88 for the gender,14.63 for the income was significantly associated with depression and activities of daily living at p<0.005 and not significant with other demographic variables. It was found that the calculated ANOVA test value for the study group,8.29 for the age group,24.03 for the gender,13.58 for the income was significantly associated with depression and activities of daily living at p<0.005 and not significant with other demographic variables.
Published by: Pradhiba S. P. M
Author: Pradhiba S. P. M
Paper ID: V6I4-1451
Paper Status: published
Published: August 25, 2020
Impact of the human-animal bond on stress
The animal-human bond is quite easily one of the purest bonds that exist out there. A research study was conducted by Swamy, S., Bedi, R., and Dawnak, Y. in order to establish and explore how the animal-human bond impacts an individual’s general stress levels and welfare. A review of literature for some recent papers on the same topic have been included so as to understand the relationship between pets and stress better. The formulated hypothesis was – pets bring about a significant difference in general stress levels. To investigate whether having pets has an effect on an individual’s stress responses, conducted a field study. A survey was conducted in order to get data that was later scored to verify our hypothesis. We identified two independent variables (IV) – sex (at two levels – male and female) and pets (at two levels – people with and without pets). The questionnaire was administered to 60 participants (n = 60), between the ages of 15 to 35. Equal number of males and females were randomly selected for the study (m = 30 & f = 30). Further, the number of males was divided into 15 males who are pet parents and 15 males who are not petted parents through random selection. Similarly, the number of females was divided and 15 females who are pet parents and 15 females who are not petted parents were randomly selected. In order to gather data for this study, an unstandardized questionnaire was developed. It had 11 items in total. The rating scale used to measure the responses was a 5-point-Likert-type scale (one that allows the individual to express how much they agree or disagree with a particular statement). The psychometric properties of this rating scale can be found as a result of further research. A parametric inferential statistical analysis was employed, i.e., a 2x2 ANOVA. The two independent variables identified were sex and people with pets and people with no pets. It was observed that the f value for the interaction effect between gender and pet ownership is 1.106, p>0.05. This suggests that there are no significant differences between males and females who own pets and those who don’t. Therefore, the results were not in line with the aforementioned research since there were so significant differences found between pets and stress. However, discussions about why that could have happened has been mentioned in the paper under the Results/Discussion section.
Published by: Saumya Swamy, Rhea Bedi, Yusra Nadeem Dawnak
Author: Saumya Swamy
Paper ID: V6I4-1450
Paper Status: published
Published: August 25, 2020
Assessment of functional requirements for the development of a smart village
The future of India lies in its village Mahatma Gandhiji. A smart village knows about its citizen, available resources, and schemes. It knows what it needs and when it needs it. The concept of the smart village makes the villages self-sufficient in respect of their needs. This study was carried out with the main focus to develop the Maruthur village into a smart village. The household survey was carried out through the village to understand the needs of the peoples of that village. Like any other villages, Maruthur village also lacks some basic infrastructure like hospitals, education, transport, cleaning, rainwater harvesting. The future land use pattern of Maruthur village with recommendations of basic infrastructural facilities to the Maruthur village to develop into a smart village.
Published by: A. Muthu Veeran
Author: A. Muthu Veeran
Paper ID: V6I4-1449
Paper Status: published
Published: August 25, 2020
Hawking Radiation and its Implications as the Information Paradox
In this project, a precursory knowledge of black holes, their formation, and a black holes event horizon will be given. Hawking Radiation will be introduced, along with its discovery and proof of its existence. Quantum Field Theory is required for understanding the proof and thus a small description of Quantum Field Theory is given. The Bogoliubov Transformations required for explaining Hawking’s proof will be outlined and its implications will be pointed out. The way to physically perceive the phenomenon of Hawking Radiation is also discussed. The Black Hole Information Paradox is also introduced and explained using the no-hair theorem, its proposed resolutions are outlined and finally, its implications are briefly described.
Published by: Shivam
Author: Shivam
Paper ID: V6I4-1445
Paper Status: published
Published: August 25, 2020
Biosynthesis of silver nanoparticle from pasteurized milk and their effects on raw milk to control spoilage
Controlling bacterial growth in fluid milk is of economic interest, and supplemental methods to stop or reduce bacterial growth before and during the cooling chain may be valuable. Silver is effective in controlling growth of single-celled organisms, but has no effect on tissue cells. Smaller diameter (6-8 nm) silver nanoparticles were produced, with purity (no chemical reaction used in the process), It’s purely biosynthesis. Using pasteurized toned milk with added concentration of silver nitrate and kept for incubation overnight. The color of milk has been changed from white to dark red indicate that the nanoparticles has been synthesized. The first trial investigated effects of time, and temperature, on total aerobic bacteria count in control milk and milk treated with silver nanoparticles. The AgNP particles were effective at all treatment temperatures and durations except for 10h, which indicated that the treated milk could be used after 10h for other dairy products such as yogurt, which require microbial activity. Small-diameter, silver nanoparticle can stop or reduce bacterial growth in fluid milk. Silver nanoparticles inhibited microbial growth and may be useful in complementing the cooling chain and the thermal processes. These results warrant more research on the sensory properties and long-term safety of the use of silver nanoparticles in dairy products. Recent rodent studies have shown that nanoparticles are distributed to breast milk, Here, used mice to investigate the safety of nanoparticle use during lactation. When Ag and Au nanoparticles were intravenously administered to lactating mice, the nanoparticles were distributed to breast milk without producing apparent damage to the mammary gland, and the amount of Ag nanoparticles distributed to breast milk increased with decreasing particle size. Orally administered Ag nanoparticles were also distributed to breast milk and subsequently to the brains of breast-fed pups. Ten-nanometer Ag nanoparticles were retained longer in the pups' brains than in their livers and lungs. Nevertheless, no significant behavioral changes were observed in offspring breast-fed by dams that had received orally administered 10 nm Ag nanoparticles. These data provide basic information for evaluating the safety of nanoparticle use during lactation.
Published by: Shailesh Saurabh
Author: Shailesh Saurabh
Paper ID: V6I4-1443
Paper Status: published
Published: August 25, 2020
