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: Computer science & Cluster analysis. The organization has 2136 authors who have published 3435 publications receiving 31458 citations. The organization is also known as: JIIT Noida.

Sampling Approaches for Imbalanced Data Classification Problem in Machine Learning

Abstract: Real-world datasets in many domains like medical, intrusion detection, fraud transactions and bioinformatics are highly imbalanced. In classification problems, imbalanced datasets negatively affect the accuracy of class predictions. This skewness can be handled either by oversampling minority class examples or by undersampling majority class. In this work, popular methods of both categories have been evaluated for their capability of improving the imbalanced ratio of five highly imbalanced datasets from different application domains. Effect of balancing on classification results has been also investigated. It has been observed that adaptive synthetic oversampling approach can best improve the imbalance ratio as well as classification results. However, undersampling approaches gave better overall performance on all datasets.

An IoT Based Air Pollution Monitoring System for Smart Cities

Abstract: As the world's population is becoming increasingly urban, the cities are under pressure to remain livable. In recent years, the air quality of the cities has become one of the major cause of concern around the world. Thus, it is necessary to constantly monitor the air quality index of a city to make it smart and livable. In this paper, we propose and develop an IoT based Air Quality Monitoring System for Smart Cities. The real-time data of the air quality is accessed through the smart devices and analyzed to measure the impact on city dwellers. The smart devices are capable of measuring the Temperature, Humidity, Carbon Monoxide, LPG, Smoke and other hazardous particulate matters like PM2.5 and PM10 levels in the atmosphere. The gathered data is accessible globally through an Android Application.

Cardioprotective Role of Syzygium cumini Against Glucose-Induced Oxidative Stress in H9C2 Cardiac Myocytes

Abstract: Diabetic patients are known to have an independent risk of cardiomyopathy. Hyperglycemia leads to upregulation of reactive oxygen species (ROS) that may contribute to diabetic cardiomyopathy. Thus, agents that suppress glucose-induced intracellular ROS levels can have therapeutic potential against diabetic cardiomyopathy. Syzygium cumini is well known for its anti-diabetic potential, but its cardioprotective properties have not been evaluated yet. The aim of the present study is to analyze cardioprotective properties of methanolic seed extract (MSE) of S. cumini in diabetic in vitro conditions. ROS scavenging activity of MSE was studied in glucose-stressed H9C2 cardiac myoblasts after optimizing the safe dose of glucose and MSE by 3-(4,5-dimethyl-thiazol-2-yl)-2,5-diphenyl tetrazolium bromide. 2′,7′-dichlorfluorescein diacetate staining and Fluorescence-activated cell sorting analysis confirmed the suppression of ROS production by MSE in glucose-induced cells. The intracellular NO and H2O2 radical–scavenging activity of MSE was found to be significantly high in glucose-induced cells. Exposure of glucose-stressed H9C2 cells to MSE showed decline in the activity of catalase and superoxide dismutase enzymes and collagen content. 4′,6-diamidino-2-phenylindole, propidium iodide and 10-N-nonyl-3,6-bis (dimethylamino) acridine staining revealed that MSE protects myocardial cells from glucose-induced stress. Taken together, our findings revealed that the well-known anti-diabetic S. cumini can also protect the cardiac cells from glucose-induced stress.

Structural, vibrational, optical and magnetic properties of sol–gel derived Nd doped ZnO nanoparticles

Abstract: Nd doped ZnO (Zn1-xNdxO, x = 0.0, 0.03, 0.06 and 0.10) nanoparticles were prepared by sol–gel method. Phase identification and effect of Nd ions substitution in ZnO lattice were confirmed by Rietveld analysis of XRD patterns. UV–Visible absorption spectra of pure and Nd doped ZnO nanoparticles showed the variation of the band gap in the range of 3.31–3.26 eV. The FTIR analysis of pure and Nd doped ZnO nanoparticles exhibited similar patterns in Zn/Nd–O bond length as obtained from the Rietveld refinement. Raman analysis confirmed the formation of a wurtzite structure wherein the local structure of ZnO nanoparticles is distorted due to Nd substitution. Magnetization-magnetic field hysteresis curves for pure and Nd doped ZnO nanoparticles revealed diamagnetic and paramagnetic behaviour, respectively. The paramagnetic behaviour of doped ZnO nanoparticles increased with increasing Nd concentration. However, the weak ferromagnetic behaviour of doped ZnO nanoparticles is observed after subtracting paramagnetic components, whereas the ferromagnetic behavior increased up to x = 0.06 samples, which further declined for x = 0.10 sample due to competition between paramagnetic and ferromagnetic ordering. The reduction in the ferromagnetic behavior for x = 0.10 sample indicates that the solubility limit of Nd atoms in ZnO lattice has been reached and paramagnetically coupled Nd atoms increased due to the increasing secondary phases.