Mobile Ad-hoc network (MANET) is the guiding technology of ubiquitous era and a cornerstone in the 4G communication architecture. MANET has limited resources and characterized with high mobility and frequent topology change. Routing in MANET should follow these constrains, otherwise, it can severely degrade the performance of MANET. Owing to Greedy routing (GFS) nature in MANET, a certain part of the MANET becomes congested before other parts. In such area the nodes have failed to forward packets in a timely manner or drop them, thus such nodes called Network Holes. This paper presents a simple and efficient enhanced GFS routing algorithm called Intelligent Fuzzy logic Greedy forwarding Scheme (IFGFS). IFGFS consider the De-congestion level of each mobile node as another selective metric besides distance. In order to validate our algorithm, we rely on a wide simulation experiments. The evaluation results showed the correctness of our new proposed algorithm the adaptive- congestion IFGFS which maximize the performance of the network.

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Journal: ComputerandInformation Science; Vol. 11, No. 2; 2018 ISSN 1913-8989 E-ISSN 1913-8997

Journal: Journal of Pharmaceutical Health Services Research, Volume 9 Issue 4 Pages 373-379

Journal: Clinical pharmacology: advances and applications, Volume 10 Pages 63

Journal: Powder technology, Volume 214 Issue 1 Pages 161-168

Journal: AAPS PharmSciTech, Volume 14 Issue 1 Pages 398-401

Journal: Journal of pharmacy practice, Volume 25 Issue 4 Pages 471-476

Journal: Journal of clinical medicine research, Volume 5 Issue 5 Pages 389

The herbal medicinal plant, Convolvulus pluricaulis: a rasayana drug has been primarily advocated for use in mental stimulation and rejuvenation therapy. In ancient systems of Indian medicine, Ayurveda, the plant is also known by the name Shankhpushpi and has been shown to act as a prominent memory improving drug, a psychostimulant and tranquiliser. The plant displays its biological activity due to the presence of several alkaloids, flavanoids and coumarins as active chemicals. Previous reports by us and others have demonstrated beneficial effect of extracts of this plant in an in-vitro and in-vivo models of Alzheimer’s disease (AD). Justification of its potential for an ancient brain tonic has been provided recently by clinical studies on polyherbal formulation of this plant. This review attempts to compile information on Convolvulus Pluricaulis in order to establish this herbal drug as a potent natural therapeutic agent to combat AD related symptoms.

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Journal: International Journal of Pharmaceutical Sciences and Drug Research 2016; 8(2): 68-74

Abstract Recently there was huge increase in using of 'herbal products'. These can be defined as plants, parts of plants or extracts from plants that are used for curing disease. However, Calophyllum species is a tropical plant and it has been used in traditional medicine, the limitation in safety and effectiveness information could lead to serious health problems. Providing information for communities by evaluating the phytochemical contents, antioxidant, antimicrobial and cytotoxic activities will improve the therapeutic values. Three main Calophyllum canum fractions (none - high polar) were tested to find out the phenolic, flavonoid, flavonol content, DPPH radical scavenging, reducing power and chelating iron ions. Also were tested against Bacillus cereus, Staphylococcus aureus, Escherichia coli, Psedomonas aeruginosa, Candida albicans, and Cryptococcus neoformans. In addition, cytotoxic activity was assayed against lung cancer A549 cell line. The methanol fraction showed no bioactivity but achieved the highest amount of phenolic, flavonol and flavonoid contents, also it showed a significant result as antioxidant, reducing power and chelating agent. The n-hexane fraction achieved the minimum inhibitory concentration (MIC) value 12.5 μg. mL(-1) against B. cereus while the MIC value for DCM fraction was 25 μg. mL(-1). The DCM fraction was more active against S. aureus where the result was 50 μg. mL(-1) while the n-hexane fraction was 100 μg. mL(-1). The three main fractions have shown no activity against gram negative bacterial and fungal. The n-hexane and DCM fractions have shown cytotoxicity against lung cancer cell line; the 50% inhibition concentration (IC(50)) was 22 ± 2.64 and 32 ± 3.78 μg. mL(-1) respectively. The results were statistically significant (P < 0.05). Among the results, C. canum fractions proved to be effective against gram positive bacterial and anti-proliferation activity. Also it showed antioxidant activity as well. The results provided beneficial information for communities as well as can help to search for alternative drugs, and will contribute to establish safe and effective use of phytomedicines in the treatment of diseases.

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Journal: Pak J Pharm Sci. 2012 Jul;25(3):555-63.

Speech recognition is an important part of human-machine interaction which represents a hot area of researches in the field of computer systems, electronic engineering, communications, and artificial intelligence. While speech signal is very complex and contains huge number of sampling points, the extraction of features from its time and frequency domain is very complex by analytical methods. The neural network capabilities to estimate the complex functions make it very reliable in such applications. This paper presents speech recognizer based on feed forward neural network with multi layer perceptron structure. The speech is preprocessed by two methods; discrete wavelet transformation (DWT) and principal component analysis (PCA). The results and structure are presented and comparison is make over them.

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Journal: International Conference on Computing, Communication and Control Engineering (IC4E'2015) May 22-23, 2015 Dubai (UAE)