Search

Eggplant is popularly known as poor man’s vegetable. With respect to present situation of climatic challenges, fruit yield of eggplant is reduced due to drought or moisture stresses. In view of this condition, an experiment was aimed to study character association between yield and yield components in eggplant. The resultant outcome from correlation analysis computed among nine eggplant characters indicated that traits like plant height and total plant length at harvesting, fruit length and number of fruits per plant significantly correlated with fruit yield per plant. Whereas, traits like plant height and total plant length observed at harvesting stage, number of days for flower initiation, number of primary branches, fruit length and average fruit weight were significantly associated with fruit yield per plant under moisture stressed condition.

Eggplant (Solanum melongena L.) is the third most important solanaceous vegetable and most diversified within species spread across the world-geographical area. A study was conducted to assess the genetic diversity among the selected fifty-four eggplant genotypes (sub-categorized into five sub-population) using twenty-three SSR markers. The Analysis of Molecular Variance among the five sub-population of eggplant revealed the existence of 90.67% variation within populations and 9.34% variation among populations. The SSR markers analysis revealed important locus-wise information like mean Observed-Heterozygosity (0.216), mean Expected-Heterozygosity (0.496), Shannon’s Information Index (0.879), mean number of different alleles (3.209), mean number of effective alleles (2.535), Fixation-Index (0.649). Further, Phylogenetic-analysis clearly categorize genetically distinct individuals in which the most diversified clusters was cluster-1 (C1) out of total of five clusters and especially, wild cultivars were grouped into cluster-5 (C5). The obtained results can be used in eggplant breeding and germplasm conservation in a resourceful manner.

ID of the phony news is the pivotal advance. Calculation like SVM and NB are utilized in our task. Furthermore, we remove Fake news-explicit feeling information each Trend's instances, both labelled and unlabeled, and use it to enhance the understanding of Fake news-explicit opinion classifiers. News online has turned into the significant wellspring of data for individuals., much data showing up on the Internet is questionable and, surprisingly, planned to misdirect. Some phony news is so like the genuine ones that it is hard for human to distinguish them. robotized counterfeit news location devices like AI and profound learning models have turned into a fundamental necessity. additionally utilized stemming, lemmatization, stop word methods to get message portrayal for AI and profound learning models separately. The significant item perspectives are recognized in light of two perceptions. Fully intent on ordering words early on. This would permit to give a separated subset of phony news to end clients. We dissect and explore different avenues regarding a bunch of clear language-autonomous elements in view of the social spread of phony news to classify them into the presented typology

Modal analysis of automobile wheel is studied in this work. 3D CAD model of automobile wheel is created using CAD software CATIA V5. This model is subjected to analysis using finite element analysis software ANSYS to get modal parameters. The parameters include natural frequencies and mode shape. Subsequently the same modal analysis is carried out experimentally on the physical wheel by using a vibration testing machine/equipment. This equipment gives the output in terms of mode shapes and frequency response curves from which natural frequencies are obtained. The results of modal analysis carried out on virtual wheel (3D CAD model) and physical wheel are correlated finally.

Prosthesis is an artificial substitute for body parts such as limbs, eye, tooth, etc. Generally, the prosthesis is referred to as a fabricated substitute used to assist the damaged part of the body. The devices are made up of light materials like plastics, aluminium, and composites materials. The prosthetic technology is aimed to replicate the body part which is damaged irreversibly due to unfortunate incidents. The present work deals with creation of an optimized design for the prosthetic leg proposed by Saito et al. [2]. The material of prosthetic leg proposed here is made up of Carbon Fiber Reinforced Polymer (CFRP) composite laminate, having unidirectional and cross-ply stacking sequence, which is analyzed for static stress and failure loads. From the results, it is evident that, while a uni-directional laminate can withstand a failure load of 4910 N, a cross-ply laminate withstands 4282 N. Also, the individual ply versus stress is studied in this work.

In this paper we study the design, implementation and evaluate the performance of a Kalman filter using FPGA. It is essential to be familiar with minimum mean square error filtering and state space methods. It is important that the set of equations, their relevance to one another and indeed the overall functionality of the algorithm that defines the Kalman filter require complete understanding. The filter will be implemented with field programmable gate arrays (FPGA), to monitor the level fluctuations for a dam/reservoir.