Informatics Publishing Limited

Amritpal Singh , Anil Kumar , Sanjiv Duggal

Abstract

Nardostachys jatamansi is classified as hypno-sedative in Ayurveda. It is used in treatment of insomnia, hysteria and depressive illness. The pla nt abounds in sesquiterpenes predominantly; jatamansone and nardostachone. The plant has demonstrated several pharmacological activities including hepato protective, cardio protective and hypolipidemic and antifungal. The significant effe ct is on the central nervous system, as diverse pharmacological actions, ranging from sedative to nootropic have been reported. Animal and clinical research with jatamansone, the active princi ple of the plant, has justified hypno-sedative claim of Ayurveda. Th e review summarizes, phytochemical and pharmacological investigations carried out on the plant.

Keywords

Nardostachys jatamansi, Sesquiterpenes, Jatamansone, Pharmacology.

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Amritpal Singh ¹, Jashandeep Kaur ²

Affiliations
1 School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara - 144411, Punjab, IN
2 Lovely Professional University, Phagwara - 144411, Punjab, IN

Abstract

Heart Rate Variability (HRV) has been established as a vital index for diagnostics and prognosis of a number of pathological conditions. Moreover, HRV is a proven indicator of autonomic balance. As HRV is a result of multiple responses acting at various time scales, these interactions need to be quantified. In this paper, a complexity measure called ApEn is utilized to quantify the complexity of HRV. This method is tested on age stratified standard Fantasia database from Physionet. It is observed that young subjects show higher HRV complexity than the older ones. The effect of tolerance threshold ‘r’ is also evaluated on the HRV complexity estimation of young and old subjects. Further, for r≥0.10, the complexity of HRV is higher for young subjects but the trend is reverse for r<0.10. Therefore, it is concluded that the tolerance threshold ‘r’ should be carefully selected for the complexity analysis of HRV.

Keywords

Approximate Entropy, Autonomic Nervous System, Complexity, Heart Rate Variability.

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Rajeev Bedi ¹, Mohit Marwaha ², Tajinder Singh ³, Harwinder Singh ⁴, Amritpal Singh ²

Affiliations
1 Department of Computer Science and Engineering, Beant College of Engineering and Technology, Gurdaspur, IN
2 Department of Information Technology, Beant College of Engineering and Technology, Gurdaspur, IN
3 Department of Information Technology, Global Institute of Engineering and Technology, Amritsar, IN
4 Department of Computer Science and Engineering, SSCET, Badhani, IN

Abstract

Privacy Security of data in Cloud Storage is one of the main issues. Many Frameworks and Technologies are used to preserve data security in cloud storage. [1] Proposes a framework which includes the design of data organization structure, the generation and management of keys, the treatment of change of user's access right and dynamic operations of data, and the interaction between participants. It also design an interactive protocol and an extirpation-based key derivation algorithm, which are combined with lazy revocation, it uses multi-tree structure and symmetric encryption to form a privacy-preserving, efficient framework for cloud storage. [2] Proposes a framework which design a privacy-preserving cloud storage framework in which he designed an interaction protocol among participants, use key derivation algorithm to generate and manage keys, use both symmetric and asymmetric encryption to hide the sensitive data of users, and apply Bloom filter for cipher text retrieval. A system based on this framework is realized. This paper analyzes both the frameworks in terms of the feasibility of the frameworks, running overhead of the system and the privacy security of the frameworks.

Keywords

Cloud Storage, Key Derivation, Bloom Filter, Cipher Text Retrieval, Symmetric Encryption, Asymmetric Encryption.

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Divesh Kumar ¹, Amritpal Singh ¹, Satish Kansal ²

Affiliations
1 I. K. Gujral Punjab Technical University, Jalandhar-Kapurthala Highway, Ibban, Kapurthala – 144603, Punjab, IN
2 Baba Hira Singh Bhattal Institute of Engineering and Technology, Lehragaga, Sangrur – 148031, Punjab, IN

Abstract

The demand of electricity is increasing very rapidly, with this increase in demand the burden on power system is increasing to meet this increasing demand, but it is very challenging because, the power system which we are using is aradial bus distribution system. The main problem while using redial system as a distribution network is the voltage drop which distorts the voltage profile of whole network. The primary cause of reduction of system voltage is, a huge amount of reactive power requirement of the load, because a large part of load is inductive. Around 13% of the generated power is wasted during transmission of power, so it is very necessary to improve voltage profile and to increase the efficiency of the network to prevent this loss of power. The PSO approach has been implemented to improve the voltage profile by optimizing the location of capacitor and to find its size. This test has been performed on the IEEE 33-bus and 66-bus radial distribution system which is designed with the use of MATLAB Software. The maximum number of capacitor units appropriate for the improvement for voltage profile is also checked in this work.

Keywords

Bibliography Review, Distribution System, Optimal Placement of Capacitor, Optimization Technique PSO, MATLAB

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