120 research outputs found

    An Effective Data Privacy Mechanism through Secure Session Key Exchange Model for MANET

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    Data privacy in the mobile ad-hoc network is a problem due to wireless medium, frequent node movement and lack of any centralized infrastructure support. In such case, it is very important to build a reliable and secure network and achieve high throughput in MANET. The reliability and security of a network depend on whether the network remains linked to different failures and malicious activities, which is the fundamental issue that needs to be focused when designing a secure routing protocol in MANET. This paper proposes an effective privacy mechanism to handle data security through a novel secure session key exchange model, which provides the node data privacy and network stability for a longer period of time and prevents abnormal behavior changes due to malicious behavior and different type of attacks in the network. The simulation results show improvement in throughput with nominal overhead and end-to-end delay in different malicious conditions against existing protocols

    A Modified Gradient Boosting Trees Methods To Transform Social Networking Features Into Embeddings

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    We propose a novel answer for cross-webpage cool start item suggestion, which expects to prescribe items from online business sites to clients at long range informal communication destinations in "frosty begin" circumstances, an issue which has once in a while been investigated some time recently. A noteworthy test is the manner by which to use information separated from long range interpersonal communication destinations for cross-site icy begin item suggestion. We propose to utilize the connected clients crosswise over interpersonal interaction destinations and online business sites (clients who have long range interpersonal communication accounts and have made buys on internet business sites) as an extension to guide clients' informal communication elements to another element portrayal for item suggestion. In particular, we propose learning both clients' and items' element portrayals (called client embeddings and item embeddings, individually) from information gathered from online business sites utilizing repetitive neural systems and afterward apply a changed angle boosting trees technique to change clients' person to person communication highlights into client embeddings. We then build up a component based lattice factorization approach which can use the learnt client embeddings for frosty begin item suggestion

    A NOVEL VALIDATED UHPLC METHOD FOR ESTIMATION OF ASSAY AND ITS RELATED SUBSTANCES OF TRICHOSTATIN-A

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    Objective: The main objective of the research work is to develop and validate a rapid UHPLC method for the estimation of assay and its related substances of Trichostatin A (TSA) in pharmaceutical samples. Methods: The UHPLC method developed for chromatographic separation between TSA and its related compounds on Poroshell 120 SB C18(50×4.6) mm; 2.7 µm RRLC column using Agilent RRLC (UHPLC) system with linear gradient elution. Results: The developed UHPLC method has shown excellent chromatographic separation between TSA and its related compounds within 12 min run time, during validation experiments, specificity study revealed that the peak threshold was more than the peak purity and no purity flag was observed. Repeatability, intra, and inter-day precision results were well within the tolerable limits. Limits of detection concentrations were found between 0.075 to 0.077 ppm and the limit of quantitation is between 0.252 to 0.258 ppm for related compounds and TSA. The related substances method recoveries were found between 80 and 120 % and assay method recovery was found between 98.0 to 102.0%. Conclusion: The developed method capability was proven for the assay of TSA and its related compounds in pharmaceutical samples and the method shows eco-friendlier than routine, conventional HPLC methods in terms of analysis time, cost and HPLC effluent waste

    To Improve The Security Of OLSR Routing Protocol Based On Local Detection Of Link Spoofing

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    We survey a particular DOS attack called node separation attack and propose another moderation technique. Our answer called Denial Contradictions with Fictitious Node Mechanism (DCFM) depends on the interior information gained by every node amid routine directing, and growth of virtual (imaginary) nodes. Additionally, DCFM uses similar methods utilized by the attack so as to avert it. The overhead of the extra virtual nodes decreases as system size builds, which is steady with general claim that OLSR capacities best on huge systems. The proposed insurance avoids more than 95 percent of attacks, and the overhead required definitely diminishes as the system measure increments until it is non-discernable

    A NEW SPEECH ENHANCEMENT TECHNIQUE USING PERCEPTUAL WIENER FILTER

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    This paper deals with musical noise result from perceptual speech enhancement type algorithms and especially wiener filtering. Although perceptual speech enhancement methods perform better than the non perceptual methods, most of them still return annoying residual musical noise. This is due to the fact that if only noise above the noise masking threshold is filtered then noise below the noise masking threshold can become audible if its maskers are filtered. It can affect the performance of perceptual speech enhancement method that process audible noise only. In order to overcome this drawback here proposed a new speech enhancement technique. It aims to improve the quality of the enhanced speech signal provided by perceptual wiener filtering by controlling the latter via a second filter regarded as a psychoacoustically motivated weighting factor. The simulation results shows that the performance is improved compared to other perceptual speech enhancement method

    A novel validated eco-friendly RP-UHPLC method for assay and related substances in Meropenem

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    1148-1157A simple, rapid, sensitive, specific, eco-friendly and stability-indicating linear gradient liquid chromatographic method (RP-UHPLC) for simultaneous estimation of assay and its related compounds in Meropenem API samples is developed and validated. Chromatographic separation was achieved on Zorbax Eclipse plus C18, (100 x 4.6) mm, 3.5 µm RRLC short column and 10 mM potassium dihydrogen orthophosphate is used as buffer, buffer solution used as eluent A and buffer and acetonitrile combination 30: 70 v/v ratio used as eluent B and Agilent RRLC (UHPLC) system is used for analysis. The mobile phase flow rate was 1.0 ml/min, and the eluted compounds have been monitored at 220 nm for related substance method and 290 nm for assay method. Excellent resolution is obtained between Meropenem and its related compounds which were eluted within 10 min. The correlation co-efficient(r) is > 0.995 for both the methods from linearity data and percentage of recovery is 98.0 to 102.0 and 80.0 to 120.0 % for assay method and for related substance method, respectively. Sensitivity of the method is found to be less than 0.316 µg/ml. Peak homogeneity data for Meropenem in the chromatograms from the stressed samples are obtained by using photodiode array detector demonstrated the specificity of the method for analysis of Meropenem in presence of the degradation compounds. The performance of the method is validated according to the present ICH guidelines for specificity, limit of detection, limit of quantification, linearity, accuracy, precision, and robustness

    Cactus pear (Opuntia ficus-indica) productivity, proximal composition and soil parameters as affected by planting time and agronomic management in a semi-arid region of india

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    Study of appropriate planting time and response to agronomic management practices is imperative for the newly introduced cactus pear (Opuntia ficus-indica (L.) Mill.) into a semi-arid region of India. Responses of cactus pear to agronomic practices (planting time and irrigation and fertilizer application) were evaluated to determine the potential for fodder production and livestock feed in a semi-arid environment of India. We assessed four planting times (February, March, July and October) and two agronomic managements (with and without irrigation and fertilizer application) during 2016–2020 at Jhansi, India. Cactus pear establishment and growth improved with planting time in July and October due to favorable soil moisture and congenial temperature. However, plant height (19 cm) and cladode weight (118 g) were greater in July than in October planting. Nutrient uptake and crude protein contents, however, were higher for the earlier plantings of February and April compared to June and October. Irrigation and nutrients application had little effect on the cactus pear plant growth, except on plant width and cladode length and width. Cactus pear can be planted during July in moderately fertile soils without any agronomic intervention in semi-arid situations of India and has potential as an effective alternative source of forage for livestock during the summer months
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