Jaypee Institute of Information Technology

About: Jaypee Institute of Information Technology is a education organization based out in Noida, Uttar Pradesh, India. It is known for research contribution in the topics: Cluster analysis & Wireless sensor network. The organization has 2136 authors who have published 3435 publications receiving 31458 citations. The organization is also known as: JIIT Noida.

Multiple user pair scheduling in TWR assisted FSO systems

Abstract: In this paper, various multiuser scheduling schemes are applied to a two-way relay (TWR) assisted multiple user pair free-space optical (FSO) communication network, when the optical beam is subjected to path loss, misalignment errors, and atmospheric turbulence. The FSO network consists of a single, half-duplex, decode-and-forward, two-way optical relay that serves multiple user pairs by employing a scheduler. Three types of schedulers based on absolute signal-to-noise ratio (SNR), normalized SNR, and selective multiuser diversity are considered. Further, the atmospheric turbulence is modeled by a recently proposed statistical model, namely the Malaga M-distribution. For the presented system and channel models, closed-form and asymptotic expressions for outage probability and bit error rate are derived. The mathematical analysis is accompanied by Monte Carlo simulations and several numerical examples to illustrate the effect of the key system parameters.

Comparative evaluation of four triterpenoid glycoside saponins of bacoside A in alleviating sub-cellular oxidative stress of N2a neuroblastoma cells.

Abstract: Objectives To examine the neuroprotective property of triterpenoid glycoside saponins of Bacopa monnieri (L.) Wettst. bacoside A and its components against H2 O2 -induced oxidative stress on neuronal (N2a) cells. Methods The cytoprotective effects of individual bacoside A components were evaluated towards oxidative stressed neuronal cells. Bacoside A was screened for neuronal cell viability (MTT assay) and change in intracellular reactive oxygen species (ROS), anti-apoptotic properties and mitochondrial membrane potential (MMP) using fluorescence microscopy. Key findings Different bacoside A components showed decrease in N2a cell viability below 100 (%) after bacoside A concentration of 0.4 mg/ml. Further, cytoprotective effect of optimized dose of bacoside A was analysed for alleviating oxidative stressed, apoptosis and MMP in H2 O2 stressed neuronal cells. Results showed increase in MMP, and decrease in apoptotic induction, without much change in nuclear integrity in stressed neuronal cells. Results showed bacoside A3 and bacopaside II have comparatively higher cytoprotective ability whilst isomer of bacopasponin C, bacopasaponin C and mixture showed comparatively less response. Conclusions Amongst four different bacoside A components, bacoside A3 and bacopaside II showed comparatively higher neuroprotective response analysed as higher cell viability and decreased intracellular ROS, suggesting better regulation of cyto-(neuronal) protection of N2a cells.

Whole genome sequence resource of Indian Zaprionus indianus.

Abstract: This article documents the whole genome sequence information of the Indian Zaprionus indianus, a member of the fruit fly family Drosophilidae. The sequences were generated on an Illumina platform and reads and whole genome sequence submitted to NCBI to the SRA and BioProject databases, respectively. This is the first Indian Z. indianus whole genome (draft) submitted to the sequence repository with SRA reads. The details of methodology, assembly statistics and functional annotation are presented in this work.

Predicting the probability of student's degree completion by using different data mining techniques

Abstract: In this paper, we are predicting the graduation degree completion probability of students at JIIT University, on the basis of his/her previous academic results with subsequent intermediate college results along with various non-academic factors. For this purpose, various educational data mining techniques have been used such as Naive Bayes, Decision Tree, KNN and Logistic Regression. The implementation of these algorithms is done in R language. The comparison of their accuracy is done to find the most accurate predictions. Graphs are also used for illustrative comparison, along with numerical values such as Accuracy and Precision.