Density Functional Theory (DFT) simulations on fullerene/polymer blends for organic photovoltaic systems
This research uses computational simulations using SIESTA (Spanish Initiative for Electronic Simulations with Thousands of Atoms) package based on Density Functional Theory (DFT) to explore the free energies, interaction energies, relative stability, stability of bonds, and charges transfer abilities of Organic Photovoltaic (OPV) systems comprising of bis[methano- fullerene (6,6)-phenyl-C61-butyric acid methyl ester] (bisPCBM) as the acceptor and eight different donor polymers. The novel donor polymers are computationally designed based on poly[4,8-bis-substituted-benzo [1,2-b:4,5-b’]dithiophene-2,6-diyl-alt-4-substituted-thieno[3, 4-b]thiophene-2,6-diyl] (PBDTTT) polymer, the main structural changes being the incorporation of Se and F atoms. From the results, it was clear that PCBM makes a wiser choice as the donor compared to bisPCBM for computer simulations. The influence of F atoms was observed in the stability of the system both energetically and structurally. The incorporation of Se negatively affects the feasibility of acceptor-donor interaction.
Published by: Rina Muhammad Faisal, Rohini De Silva, K. M. Nalin De Silva
Author: Rina Muhammad Faisal
Paper ID: V8I1-1466
Paper Status: published
Published: March 2, 2022
Transfer learning-based machine learning models for heart disease prediction in an earlier stage
Anticipating and identifying heart affliction has ordinarily been an intense and tedious task for specialists. To adapt to heart problems, medical clinics and explicit centers are giving steeply-evaluated rebuilding procedures and activities. Thus, hanging tight for a heart disorder in its initial degrees is most likely valuable to individuals from one side of the planet to the other, allowing them to take required treatment ahead of time before it transforms into genuine. Heart ailment has been the main issue in state-of-the-art years, with the essential intentions being unreasonable liquor use, tobacco use, and an absence of actual work. Machine gaining knowledge has proven to be beneficial in making selections and predictions from a huge set of information created via way of means of the healthcare enterprise over time. Artificial neural networks (ANN), choice trees (DT), random forests (RF), and Naive Bayes) are a number of the supervised gadget gaining knowledge of strategies hired on this prediction of coronary heart ailment (NB).In addition, the results of various algorithms are summarized. This paper attempts to forecast cardiac disease at an early stage. We will compare the four algorithms with their accuracy score and will conclude which algorithm is best.
Published by: Ganaga Muneeswari M., Soniya V., Aishwaryalakshmi R. K., Abisha D.
Author: Ganaga Muneeswari M.
Paper ID: V8I1-1473
Paper Status: published
Published: March 1, 2022
Clustering Algorithms and Classification Method for the Analysis of the Crop Yielding Dataset
Prediction of the crop is a dominant element of agriculture and even for farmers[1]. Currently, India is in the second position in the world for agricultural produce. The main economic sector of India is agriculture, which plays an important role in the growth of the economy[1]. Prediction of a crop is a challenging issue, so comprehensive varieties of crop prediction methods are used. In this paper the essential data is collected from districts of Karnataka and Tamilnadu with many parameters like year, district, area, temperature, rainfall, crop, and yield in tons for the year 2005 to 2016. For crop prediction, methods like K-Means and the J48 algorithm are applied in the existing system for clustering and classification. In the proposed system for clustering, the PAM (PartitionaroundMedoid) is applied and for classification, J48 is applied. A dataset is collected and clustered as stated by the attribute of the PAM algorithm by using the Euclidean formula, calculatingthe distance between the points. In this work tools like eclipse mars.2 and the programming language, Java is applied. The result acquired through an existing algorithm such as K-Means & J48 in comparison with a proposed algorithm like PAM and J48 gives better results in terms of accuracy and time complexity.
Published by: Vani Yelamali
Author: Vani Yelamali
Paper ID: V8I1-1439
Paper Status: published
Published: March 1, 2022
A critical review: On the design of microstrip patch antenna and analysis using real-time satellite data
Nowadays the study of microstrip patch antennas has a great impact on the communication systems of the recent world. If we compare these antennas with our conventional antennas, they we will see that microstrip patch antennas are far better than those conventional antennas which we used to use in our past years. In recent years we have developed many different types of microstrip patch antennas for different purposes. The main contribution of this work is studying different types of microstrip patch antennas and the advancement of technologies for future purposes. This study shall help you to understand different types of microstrip patch antennas and their current research.
Published by: Harshit Poddar
Author: Harshit Poddar
Paper ID: V8I1-1477
Paper Status: withdrawn
Submitted: March 1, 2022
Analysis of vandhya rog chikitsa from yogaratnakar on the basis of modern and ayurvedic text: A review
Ayurveda is a science which is having its own diagnostic methods and treatment based on it. Ayurvedic classical texts elaborate treatment of Vandhytva (infertility), in almost all important Samhitas. In present scientific research, many causes of infertility are explored because of the vast availability of diagnostic tools. In the period when Samhita's were written the diagnostic methods are very different, so when acharya cite the treatment, it was quoted that the treatment is useful in infertility, as a general term. It is need of an hour to analyze this ancient treasure of treatment in terms of modern scientific knowledge. This effort will help a clinician to find the absolute indication of the infertility treatment. In this analytical study the infertility treatment mentioned in Yogratnakar, (one of the classical texts) is critically evaluated to find out the absolute indication. The chapter from Yogaratnakar namely “Yonivyapada Roganam Chikitsa, Vandhyarog Chikitsa” is critically analyzed. It is observed that the formulations which are evaluated are having estrogenic action, potent aphrodisiac, endocrine stimulants, so they are useful in unovulation, tubal block, luteal phase defect, disorders of the endocrine system also in defective spermatogenesis.
Published by: Swati Mohite, Prachi Konde
Author: Swati Mohite
Paper ID: V8I1-1359
Paper Status: published
Published: March 1, 2022
Awareness regarding cryptocurrency among investors
The research was designed to perceive the awareness of the Investors regarding CryptoCurrency. The Objective of the research is to observe the perception of cryptocurrency in terms of gender and whether awareness of cryptocurrency and gender are dependable variables; To find out people's preference about cryptocurrency, their trading preference there preferred cryptocurrency, and what they think as an advantage, disadvantage and important factors about cryptocurrency; To study the perception of investors regarding the acceptance of bitcoin as mode of cashless transaction. The data for the research was obtained through the Survey method, based on the Questionnaire, circulated in the form of Google Forms online. The data was analyzed using tables and chi-square was used in testing the hypotheses formulated to guide the research. The outcome of the testing proved that the awareness of cryptocurrency and gender are dependable variables and the male respondents was having more knowledge and awareness of crypto in comparison to female respondents. At the same time, the data help out to understand the preferences of the people and their perception regarding the acceptance of bitcoin as a cashless transaction.
Published by: Mustafa Shaikh, Mansi Patel, Satyajitsinh Gohil
Author: Mustafa Shaikh
Paper ID: V8I1-1461
Paper Status: published
Published: March 1, 2022
