Implementation of Secure and Energy Efficient Routing Protocol for Mobile Adhoc Network

Mobile adhoc network are networks consisting of spatially distributed autonomous sensors, which are capable of sensing the physical or environmental conditions and have set of applications in various domains. But MANET is also prone to various active and passive attacks due to the lack of security mechanism, centralized management in routing protocol and. The prime task of WSN is to sense and collect information, process and transmit to the sink. One of the major security threats in MANET is attacks; attacks may be active or passive. First of all implementation of reference work carried out in NS 2 environment for various numbers of nodes in the range from 10 to 50 followed by integration of attacker node. In our research work specifically black hole attack has been taken to see the impact on network parameters. To overcome such active attacks an advanced Ad hoc On-Demand Distance Vector routing protocol techniques incorporated hash function with security algorithm so that data cannot be accessed by unauthorized person. Network matrices are improved by implementing advanced AODV routing protocol. In the distributed network trust among various sensing nodes is a powerful tool to increase the performance of device networks. In our research work depth analysis carried out on the security and trust communication between the device nodes with routing techniques to discover and prevent information packet from the being exposed to black hole attack. Further various mobility pattern can be investigated with different attacks

Concept of a system for Addressing Bad Publicity in Social Media Using Knowledge in Business Process Models

In this work in progress research paper we describe a concept of a computerized system which can help in addressing the issue of bad publicity on blogs posted on platforms such as tumblr or wordpress, twitter, facebook and/or other public internet forums such as CNET. There are three parts to solve the problem. First, identifying and searching the web for such comments and creating a bag of words from every such comment. Second, creating an index of words occurring on process models and assign them weightage in different process models based on their frequency of occurrence. Third, to create an association between the bag of words derived from the comment and the process models using the index of words. Once the comment is associated to process model it can be directed to the process model owner for appropriate action. Thus knowledge inside the process models is used for directing the complaints towards relevant executives. This invention can also help in other similar uses such as software maintenance, automated process support, help desk etc where requests in natural language can be automatically assigned to relevant person based on their job description or process description or process map

Does ischemic preconditioning preoperatively reduce postoperative pain and analgesic requirement in total knee arthroplasty?

Background: Osteoarthritis of knee is one of the most commonly affecting condition affecting the activities of daily living in the middle age group Indian and Asian population. Total knee arthroplasty (TKA) performed for pain relief and improvement in mobility of individuals is associated with significant post-operative pain. Ischemic preconditioning is one of the non-pharmacologic methods of reduction in postoperative pain using variable periods of tourniquet induced ischaemia which has limited data in literature.Methods: Sample size (n=30) was taken. A standard automatic pneumatic tourniquet was used while performing ischemic preconditioning of the limb prior to TKA and during surgery. Statistical analysis was performed with p values <0.05 considered significant. Standard postoperative analgesia as per hospital protocol was given to patients.Results: The mean 6 hour postoperative and 48-hr postoperative visual analogue scale (VAS) score at rest is significantly higher compared to mean preoperative VAS score at rest (p<0.01 for both). The distribution of mean preoperative and 24 hour postoperative VAS score at rest did not differ significantly (p>0.05). The mean % change in postoperative period compared to preoperative VAS at rest was 47.06%.Conclusions: In this study, the effect of preconditioning over postoperative pain relief was not consistent. Although the patient reported pain scores were low at 6th and 24th postoperative hour, the effect at 48th postoperative hour was not satisfactory. Studies with larger sample size required for better understanding of ischemic preconditioning

Quot schemes and Fourier-Mukai transformation

We consider several related examples of Fourier-Mukai transformations involving the quot scheme. A method of showing conservativity of these Fourier-Mukai transformations is described.Comment: Final versio

Design of an Ultra-Wideband Bandpass Filter for Millimeter Wave Applications

The advancement in filter designs for ultra-wide frequency spectrum are accelerated highly in this technological era. The main goal is to avoid interference of spurious signals with the authenticated signals resulting into counterfeiting of outcomes. This paper depicts the designs of Ultra-Wideband Bandpass filter (UWB BPF) with three different structures; using dual shunt ring resonator, split ring resonator and square patch resonator embedded at the centre of two parallel coupled microstrip lines. These designs are proposed with enhanced filter characteristics than conventional designs for millimeter wave range in automotive applications with improvement factors like traffic alerts and lane change assist. The frequency spectrum of 22-29GHz is used to meet FCC specifications along with 25.5GHz as the centre frequency. The complete simulations of the proposed designs are carried out using HFSS V13 software utilising RT/Duroid 6002 as a substrate with dielectric constant of 2.94. All designs are fabricated on the same substrate with equal substrate area of 5.8mm*2.8mm and thickness of 0.127mm. The return losses are 14dB, 16dB and 36dB and insertion losses are 0.4dB, 0.39dB and 0.30dB respectively of the proposed designs. The large fractional bandwidth of nearly 40%, high selectivity up to 82dB, especially in case of dual square patch resonator design, are extracted

Biodeterioration of Polyethylene High Density by Aspergillus versicolor and Aspergillus terreus

The present article investigates the biodeterioration ability of polyethylene high density by Aspergillus versicolor and Aspergillus terreus. Shake flask incubation for 30 days was done for the purpose of biodeterioration of polyethylene high density. The observations were recorded for initial and final dry weight of polyethylene high density before and after incubation in the culture medium were compared the percentage of biodeterioration of polyethylene. The strongest ability was observed by Aspergillus terreus with 7.59% biodegradability followed by Aspergillus versicolor with 3.79% of biodegradability. In conclusion, Aspergillus terreus was found to be efficient organism that degraded the polyethylene high density with maximum biodegradability as compared to Aspergillus versicolor

Variable Switch Regenerative Braking Technique for PM BLDC Motor Driven Electric Two-wheeler

In this paper PM BLDC motor driven electric two-wheeler is proposed. The operation of PMBLDC motor in all four quadrants along with various regenerative braking control strategies are simulated MATLAB/ SIMULINK. Three braking methods are proposed for electric vehicle application. Factors like recovered energy, braking time, maximum braking current are compared. Depending on the simulation results switching between different braking methods is proposed for efficient and reliable braking operation. Moreover, by using variable switch braking technique one can extract more braking energy

Gait Based Vertical Ground Reaction Force Analysis for Parkinson's Disease Diagnosis Using Self Organizing Map

ABSTRACT The aim of this work is to use Self Organizing Map (SOM) for clustering of locomotion kinetic characteristics in normal and Parkinson's disease. The classification and analysis of the kinematic characteristics of human locomotion has been greatly increased by the use of artificial neural networks in recent years. The proposed methodology aims at overcoming the constraints of traditional analysis methods and to find new clinical ways for observing the large amount of information obtained in a gait lab. Self organizing maps (SOM) also called Kohonen maps are a special kind of neural networks that can be used for clustering tasks. The results are shown in the terms of sensitivity, specificity, accuracy, error rate from the two groups of features which are the Mean Coefficient of Variation and Mean Sum of Variation and Mean Max and Mean Standard deviation of the Ground Reaction Force. Results showing the potential of this technique for distinguishing between population of individuals with normal gait and with gait disorders of different causes of disease

In Silico Characterization of Pectate Lyase Protein Sequences from Different Source Organisms

A total of 121 protein sequences of pectate lyases were subjected to homology search, multiple sequence alignment, phylogenetic tree construction, and motif analysis. The phylogenetic tree constructed revealed different clusters based on different source organisms representing bacterial, fungal, plant, and nematode pectate lyases. The multiple accessions of bacterial, fungal, nematode, and plant pectate lyase protein sequences were placed closely revealing a sequence level similarity. The multiple sequence alignment of these pectate lyase protein sequences from different source organisms showed conserved regions at different stretches with maximum homology from amino acid residues 439–467, 715–816, and 829–910 which could be used for designing degenerate primers or probes specific for pectate lyases. The motif analysis revealed a conserved Pec_Lyase_C domain uniformly observed in all pectate lyases irrespective of variable sources suggesting its possible role in structural and enzymatic functions

Regional sustainable development of renewable natural resources using Net Primary Productivity on a global scale

Ecological Indicators 127 (2021) 10776