175 research outputs found

    Impregnable Defence Architecture using Dynamic Correlation-based Graded Intrusion Detection System for Cloud

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    Data security and privacy are perennial concerns related to cloud migration, whether it is about applications, business or customers. In this paper, novel security architecture for the cloud environment designed with intrusion detection and prevention system (IDPS) components as a graded multi-tier defense framework. It is a defensive formation of collaborative IDPS components with dynamically revolving alert data placed in multiple tiers of virtual local area networks (VLANs). The model has two significant contributions for impregnable protection, one is to reduce alert generation delay by dynamic correlation and the second is to support the supervised learning of malware detection through system call analysis. The defence formation facilitates malware detection with linear support vector machine- stochastic gradient descent (SVM-SGD) statistical algorithm. It requires little computational effort to counter the distributed, co-ordinated attacks efficiently. The framework design, then, takes distributed port scan attack as an example for assessing the efficiency in terms of reduction in alert generation delay, the number of false positives and learning time through comparison with existing techniques is discussed

    Designing of Bayesian Skip Lot Sampling Plan under Destructive Testing

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    Skip-lot sampling plan serves as a cost-effective technique to manage the cost of performing frequent product inspections. As a powerful tool within a real-time quality management system, the ability to collect data which an optimize skip-lot sampling parameters affords manufacturers the luxury of lowering inspection expenses in various manufacturing units. The good quality of product can be produced in continuous improvement of production process in excellent quality history for suppliers. The procedures and necessary tables are provided for finding the respective plans for which sum of producer and consumer risks are minimized with acceptable and limiting quality levels which accounts for the prior distribution of process state for each lot and revenue received appreciably which reduces destructive testing

    AN AUTHENTICATED, SECURE VIRTUALIZATION MANAGEMENT SYSTEM IN CLOUD COMPUTING

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    Cloud computing is one of the trending technologies that provide boundless virtualized resources to the internet users as an important services through the internet while providing the privacy and security. Using these cloud services, internet users get many parallel computing resources at low cost. It predicted that till 2016, revenues from the online business management spent $4 billion for data storage. Cloud is an open-source platform structure, so it is having more chances to malicious attacks. Privacy, confidentiality, and security of stored data are primary security challenges in cloud computing. In cloud computing, virtualization†is one of the techniques dividing memory into different blocks. In most of the existing systems, there is only single authority in the system to provide the encrypted keys. To fill the few security issues, this paper proposed a novel authenticated trust security model for secure virtualization system to encrypt the files. The proposed security model achieves the following functions: (1) allotting the VM security monitor model for each virtual machine and (2) providing secret keys to encrypt and decrypt information by symmetric encryption.The contribution is a proposed architecture that provides a workable security that a cloud service provider can offer to its consumers. Detailed analysis and architecture design presented to elaborate security model.Â

    A study on median nerve conduction velocity in different age groups

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    Background: Nerve Conduction Velocity (NCS) is a test to measure the speed and electrical activity in a nerve. Physiological factors like age, temperature, height, gender affect the nerve conduction velocity. There is paucity on the data regarding the age group at which these changes become significant. Therefore, the aim of the study was to determine the specific age group at which changes in nerve conduction velocity occurs.Methods: 103 individuals in the age group of 15-65 years participated in the study. They were grouped into, Group I in the age group of 15-30 (n=40) years, Group II 31-45 years (n=31), Group III 46-60 years (n=32). Median motor and sensory conduction velocity were determined.Results: There was a significant correlation between age and median motor (p=0) and sensory (p=0) conduction velocities. There was a significant decreasing trend observed in Group III.Conclusions: Age has definite correlation with the NCS in median motor and sensory nerves. It is essential to have reference values with relation to age

    IN VITRO ANTIOXIDANT ACTIVITIES OF THE FRACTIONS OF COCCINIA GRANDIS L. LEAF EXTRACT

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    The present study was aimed at investigating the antioxidant activities of the various fractions of the hydromethanolic extract of the leaves of Coccinia grandis L. Voigt. (Cucurbitaceae). The antioxidant activities of the fractions have been evaluated by using nine in vitro assays and were compared to standard antioxidants such as ascorbic acid, α-tocopherol, curcumin and butylated hydroxyl toluene (BHT). All the fractions showed effective H-donor activity, reducing power, free radical scavenging activity, metal chelating ability and inhibition of β-carotene bleaching. None of the fractions exerted an obvious pro-oxidant activity. The antioxidant property depends upon concentration and increased with increasing amount of the fractions. The free radical scavenging and antioxidant activities may be attributed to the presence of phenolic and flavonoid compounds present in the fractions. The results obtained in the present study indicate that the leaves of C. grandis are a potential source of natural antioxidant

    STEROID-INDUCED ANAPHYLAXIS

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      To report a severe adverse drug reaction (ADR) due to administration of injection hydrocortisone sodium succinate and to explore the possibility of an association between injection hydrocortisone and the severe ADR. After getting ethics approval from the institution, ADR form and patient's clinical record from the Department of Cardiology, in a Private Medical College was received. In that, it was recorded as a 75-year-old male patient, a case of unstable angina with troponin T - positive, was posted for coronary angiogram developed a severe reaction to intravenous (IV) hydrocortisone 100 mg stat, given to prevent allergy to contrast dye used in the procedure. 5 minutes after drug administration, he developed sudden itching all over the body, hypotension blood pressure: 60 mmHg and swelling of lips. No other drugs had been given at that time. The patient was already on aspirin 150 mg, clopidogrel 75 mg, and atorvastatin 80 mg, and enoxaparin 40 mg. The procedure was abandoned, and the patient was given injection pheniramine maleate 45.5 mg IV, injection dopamine 10 mcg/kg/min IV. He symptomatically improved within 6 hrs. Causality analysis using the WHO scale categorizes it as probable, as anaphylaxis occurred immediately after administration of hydrocortisone, no other drugs were given at that time, and rechallenge was not done. Very few cases of various steroid-induced anaphylaxis have been reported worldwide. This one among the rare ADR report may be due to the steroid or the excipients in the preparation. Skin prick test or in vitro (radioallergosorbent test assay) test can be done immediately to confirm the causative allergen in this case and would also help in identifying specific agents that will be tolerated in the future treatment

    Knowledge, awareness and attitude towards rational use of medicines by community pharmacists in and around Coimbatore, India

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    Background: Achievement of goals of rational use of medicine (RUM) in the community is not possible without participation of community pharmacists. Pharmacists must know that they are the main tool to educate and spread information on rational use of medicine in the community. This background enabled this study to observe the knowledge, awareness and attitude of the community pharmacists towards the rational use of medicine. Aim and Objectives were to assess the knowledge and awareness among community pharmacists about rational drug use in and around Coimbatore.Methods: It was a cross sectional observational study using a preformed questionnaire. Study participants were 215 Community Pharmacists (those are registered pharmacist running standalone pharmacy stores not affiliating to any institutions /hospitals/not a part of a large chain of stores) inside (115 Pharmacist) and around (100 Pharmacist) Coimbatore city. Questionnaire was given to them and results were analyzed and expressed in percentage at the end of the study.Results: Comparing the awareness about RUM in the community pharmacists in and around Coimbatore was found with the results which was almost equal or less in terms of dispensing medicines without prescription, issuing medicines to outdated prescription, educating the public about ADR etc.Conclusions: This study ensure the need of the community pharmacist participation for the development of a clear educational policy on promoting rational use of medicine involving all segments of health care system to ensure the community benefit and safety

    Texture and Color Feature Extraction Form Ceramic Tiles for Various Flaws Detection Classification

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    Image analysis involves investigation of the image data for a specific application. Normally, the raw data of a set of images is analyzed to gain insight into what is happening with the images and how they can be used to extract desired information. In image processing and pattern recognition, feature extraction is an important step, which is a special form of dimensionality reduction. When the input data is too large to be processed and suspected to be redundant then the data is transformed into a reduced set of feature representations. The process of transforming the input data into a set of features is called feature extraction. Features often contain information relative to color, shape, texture or context. In the proposed method various texture features extraction techniques like GLCM, HARALICK and TAMURA and color feature extraction techniques COLOR HISTOGRAM, COLOR MOMENTS AND COLOR AUTO-CORRELOGRAMare implemented for tiles images used for various defects classifications

    Bayesian Repetitive Deferred Sampling Plan Indexed Through Relative Slopes

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    This paper deals with designing of Bayesian Repetitive Deferred Sampling Plan (BRDS) indexed through incoming and outgoing quality levels with their relative slopes on the OC curve. The Repetitive Deferred Sampling (RDS) Plan has been developed by Shankar and Mohapatra (1991) and this plan is an extension of the Multiple Deferred Sampling Plan MDS - (c1, c2), which was proposed by Rambert Vaerst (1981). &nbsp

    A new variety of Gymnosporia emarginata (Celastraceae) from the Coromandel Coast of Peninsular India

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    A new variety, Gymnosporia emarginata (Willd.) Thwaites var. coromandelica N.Balach. & P. Umamaheswari (Celastraceae) has been described from Tamil Nadu, India. The diagnostic characters of this variety are: long stamens, ovary immersed in the disc, style sessile and stigma lobes converged. Detailed descriptions, differences in characters between the 2 varieties, ITS based phylogenetic analysis and related images are provided for easy identification
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