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.

Utility Oriented Demand Side Management Using Smart AC and Micro DC Grid Cooperative

Abstract: DC microgrid provides a viable and more efficient option to cater for DC loads in the building space and, in particular, data centers. This paper investigates the opportunities associated for utilities to optimize industrial demand response for smart AC and DC microgrid environment thus facilitating distribution utility to reduce peak energy on the existing AC distribution system. A load shifting demand side management (DSM) technique is used to shift AC industrial loads in response to time of day (TOD) tariff. Hence, an attempt has been made to study the impact of DSM strategies with optimal shifting of AC devices in the presence of DC microgrid. Simulations are carried out on a practical distribution system having large industrial loads but it has been assumed that the AC distribution system has DC microgrid with renewables and battery storage systems (BSSs). DSM results for AC distribution grid are compared and analyzed with differing DC microgrid set ups, for example with and without battery storage. It has been observed that the DSM strategy with DC microgrid in the presence of solar renewables and battery storage can substantially reduce average energy cost for demand to response and peak load burden on AC distribution utilities.

Empirical Mode Decomposition Based Classification of Focal and Non-focal Seizure EEG Signals

Abstract: The electroencephalogram (EEG) signals are commonly used signals for detection of epileptic seizures. In this paper, we present a new method for classification of two classes of EEG signals namely focal and non-focal EEG signals. The proposed method uses the sample entropies and variances of the intrinsic mode functions (IMFs) obtained by empirical mode decomposition (EMD) of EEG signals. The average sample entropy (ASE) of IMFs and average variance of instantaneous frequencies (AVIF) of IMFs for separate EEG signals have been used as features for classification of focal and non-focal EEG signals. These two parameters have been used as an input feature set to the least square support vector machine (LS-SVM) classifier. The experimental results for various IMFs of focal and non-focal EEG signals have been included to show the effectiveness of the proposed method. The proposed method has provided promising classification accuracy for classification of focal and non-focal seizure EEG signals when radial basis function (RBF) has been employed as a kernel with LS-SVM classifier.

Phytochemicals as Antiviral Agents: Recent Updates

Abstract: The epidemic of viral diseases is a global concern, mandating an urgent need of most promising antivirals. Some of the viral diseases can be cured by approved antiviral drugs, but for others still do not have any vaccines or drugs available. Most of the approved antiviral drugs are somehow directly or indirectly associated with side effects, which eventually raise the need for the development of antivirals based on natural phytochemicals. Globally, the development of antivirals is shifting towards the plant-derived products as they are less toxic and has less chance to develop resistance. Phytochemicals have been exploited traditionally for the cure of many diseases, and also have been reported to inhibit viral replication/transcription. Most of them inhibit the viruses either during the viral entry inside the host cell or during their replication. Moreover, 50% of the drugs derived from plants are being used in the Western nations. Plants have a variety of phytochemicals like flavonoids, terpenoids, lignins, alkaloids, and coumarins that are having antioxidant activity, and help to inhibit viral genome. Various plant-derived products have been well studied against viruses like herpes virus, human immunodeficiency virus (HIV), influenza, and hepatitis virus. More recently, Coronavirus disease (COVID-19) caused by a newly identified coronavirus has become pandemic, and affected world’s population severely. However, there are still less explored phytochemicals for the inhibition of viruses like dengue virus, chikungunya virus, and other alphaviruses. In this chapter, we will emphasize on the reported phytochemicals and their derivatives, having antiviral properties and their mechanism to treat viral diseases.

Environmental Pollution and Nanotechnology

Abstract: Nanotechnology is an upcoming technology that can provide solution for combating pollution by controlling shape and size of materials at the nanoscale. This review provides comprehensive information regarding the role of nanotechnology in pollution control at three different steps viz. Source reduction or pollution prevention, remediation or degradation of pollutants and sensing of pollutants. Due to its large surface area and high surface energy, the nanoparticles have the ability to absorb large amount of pollutants or catalyze reactions at a much faster rate, thus reducing energy consumption during degradation or helps in preventing release of contaminants. The nanosize of the particles also make it possible to reach otherwise inaccessible areas and hence promote in-situ remediation rather than ex-situ remediation. The ability of the nanoparticles to be coated with various ligands and control of surface area to volume ratio by changing the shape of the nanoparticles enables the design of sensors with high selectivity, sensitivity and specificity.

Transcription factors in heart: promising therapeutic targets in cardiac hypertrophy.

Abstract: Regulation of gene expression is central to cell growth, differentiation and diseases. Context specific and signal dependent regulation of gene expression is achieved to a large part by transcription factors. Cardiac transcription factors regulate heart development and are also involved in stress regulation of the adult heart, which may lead to cardiac hypertrophy. Hypertrophy of cardiac myocytes is an outcome of the imbalance between prohypertrophic factors and anti-hypertrophic factors. This is initially a compensatory mechanism but sustained hypertrophy may lead to heart failure. The growing knowledge of transcriptional control mechanisms is helpful in the development of novel therapies. This review summarizes the role of cardiac transcription factors in cardiac hypertrophy, emphasizing their potential as attractive therapeutic targets to prevent the onset of heart failure and sudden death as they can be converging targets for current therapy.