111 research outputs found

    Intrusion Detection Using Honeypot and Support Vector Machine Classifier

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    The rapid growth of internet and web based applications has given rise to the number of attacks on the network. The way the attacker attacks the system differs from one attacker to the other. The sequence of attack or the signature of an attacker should be stored, analyzed and used to generate rules for mitigating future attack attempts. We have deployed honeypot to record the activities of the attacker. While the attacker prepares for an attack, the IDS redirects him to the honeypot. We make the attacker believe that he is working with the actual system. The activities related to the attack are recorded by the honeypot by interacting with the intruder. The recorded activities are analyzed by the network administrator, and the rule database is updated. As a result, we improve the detection accuracy and security of the system using honeypot without any loss or damage to the original system. As the number of threats to the information is increasing, there is a need for a powerful intrusion detection system that can actually fulfil the requirement of security against the threat. This type of security can be achieved by identifying the particular type of attack. The classification of attack activities ensures the efficient countermeasure for the attack. The work focuses on the classification of attack using multiclass support vector machine approach. The support vector machine is used for binary classification. This approach is extended to the multiclass classification of attack with improved accuracy of classification. We have used three benchmark datasets for training and testing purpose: KDD corrected dataset, NSLKDD dataset, Gure KDD dataset. We have also compared the results with existing work. The evaluation gives better accuracy for detection of attack than the existing approach. The evaluation provides better accuracy for detection of attack than the existing approac

    The Relationship Between Orthodontics and Periodontics: An Interdisciplinary Approach

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    ABSTRACT In the recent years rapid advances in dental techniques and dental materials had taken place. Public interest had developed in maintaining a good oral health with attractive smile, which has resulted in understanding the interrelationships between periodontics and orthodontics. Orthodontics and periodontics are interrelated in variety of situations and a multidisciplinary approach is often necessary. Higher susceptibility of plaque accumulation in patients undergoing orthodontic treatment made involvement of periodontist almost unavoidable, also orthodontic treatment frequently results in undesirable periodontal changes which require immediate attention. Making the most of what these two specialities offer each other begins with the identification of periodontal problems that could become more complicated during orthodontic therapy and conversely those that could benefit from orthodontic therapy. However a standard language between periodontist and orthodontist must always be established to eliminate the existing communication barrier and to improve the outcomes of the whole treatment

    Effect of Office Bleaching Agents on the Shear Bond Strength of Metallic Brackets Bonded Using Self-Etching Primer System at Different Time Intervals – An In-Vitro Study

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    A common method of treating discoloured teeth is to bleach them using hydrogen peroxide. Many studies in the literature have concluded that bleaching reduces shear bond  strength of composite resin significantly and thus, to achieve clinically adequate shear bond strength of composite for bonding brackets to bleached enamel, it is important to find out the various methods of reducing adverse effects of bleaching. It has been proposed by some authors that a delay in bonding effectively reverses the effects of  bleaching on bond strength. OBJECTIVES- To test the null hypothesis that there is no statistical significance in (1) bond strength and (2) failure site location with bleached and unbleached enamel prepared with TransbondPlus Self-etching Primer between  different time intervals. MATERIALS AND METHODS- Sixty freshly extracted human premolar teeth were randomly divided divided into three groups of 20 teeth each Bleaching treatment was performed at two different time intervals (bleaching immediately before bonding and bleaching 30 days before bonding). All brackets were bonded with a self-etching primer system. The shear bond strength of these brackets was measured and recorded in MPa. Adhesive remnant index (ARI) scores were determined after the brackets failed. RESULTS- The mean shear bond strength of Group A (control) is found to be 20.4315 MPa (SD± 6.81041) which was reduced to 11.1955 MPa (SD ± 4.58041) when bonding was done immediately after bleaching (group B). The shear bond strength increased to 14.9910 MPa (SD ± 4.74545) when enamel was 14.9910 MPa (SD ± 4.74545) when enamel was Group C) Pair wise comparison of shear bond strength between the three groups  using Post hoc Tukey test showed that there is a very high statistically significant difference between shear bond strength of all three groups. CONCLUSION This study shows that bonding immediately after bleaching significantly reduces the shear bond strength , it can be reversed by a delay in the bonding by 30 days which shear bond strength , it can be reversed by a delay in the bonding by 30 days which improves the shear bond strength as reflected  in the results of the study ,So it is advisable to delay the orthodontic bonding procedure by an interval of 30 days to improve survival rates and prevent frequent breakages of brackets due to bond failure

    Glycosylated hemoglobin as an efficacious tool for early prediction of gestational diabetes mellitus

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    The incidence and prevalence of GDM is on the rise worldwide and, more so in developing countries including India. GDM is associated with maternal, fetal and neonatal morbidities. Current guidelines recommend GDM screening only at 24-28 weeks of gestation. Diagnosis of GDM in later half of pregnancy leads to fetal and maternal morbidities in spite of good glycemic control. This necessitates the use of a simpler, convenient, accurate, and reliable test, which can predict GDM in early gestation. Our article reviews the scope of using HbA1c for GDM and its efficacy in screening GDM

    Temperature-dependent Optoelectronic Properties of Quasi-2D Colloidal Cadmium Selenide Nanoplatelets

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    Colloidal Cadmium Selenide (CdSe) nanoplatelets (NPLs) are a recently developed class of efficient luminescent nanomaterial suitable for optoelectronic device applications. A change in temperature greatly affects their electronic bandstructure and luminescence properties. It is important to understand how-and-why the characteristics of NPLs are influenced, particularly at elevated temperature, where both reversible and irreversible quenching processes come into picture. Here we present a study on the effect of elevated temperature on the characteristics of colloidal CdSe NPLs. We used an effective-mass envelope function theory based 8-band k\cdotp model and density-matrix theory considering exciton-phonon interaction. We observed the photoluminescence (PL) spectra at various temperatures for their photon emission energy, PL linewidth and intensity by considering the exciton-phonon interaction with both acoustic and optical phonons using Bose-Einstein statistical factors. With rise in temperature we observed a fall in the transition energy (emission redshift), matrix element, Fermi factor and quasi Fermi separation, with reduction in intraband state gaps and increased interband coupling. Also, there was a fall in the PL intensity, along with spectral broadening due to an intraband scattering effect. The predicted transition energy values and simulated PL spectra at varying temperatures exhibit appreciable consistency with experimental results. Our findings have important implications for application of NPLs in optoelectronic devices, such as NPL lasers and LEDs, operating much above room temperature.Comment: Published in Royal Society of Chemistry, Nanoscale (12 pages, 9 figures

    EFFECT OF LEFT VENTRICULAR SYSTOLIC DYSFUNCTION ON WARFARIN DOSE

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    A Review on working of Cflow

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    In the field of program analysis, call graphs provide a succinct and human readable visual form of function flows in a program. Typically, call graphs are directed graphs, that determine the sequence of invocation of subroutines depicting the caller callee dependencies. This is used to tap the flow a program takes during execution, laying a foundation for further needful analysis. In this context, Call graph generators, taking a program as input, are typically used to generate call graphs. GNU Cflow, is one such tool. It accepts a C program or a number of C programs as input and generates a procedure flow, with clear caller-callee sequence distinguished by level indentation, with callee functions indented inside caller functions. This output can be altered by supplying different available flags and output-formatting options to suit the requirement. There is a lot of scope to revamp the Cflow source code and utilize the dispensed output. In this paper, we discuss the nature of cflow, its expected output, its limitations and scope for future research in it

    Influence of Age on Warfarin Dose, Anticoagulation Control, and Risk of Hemorrhage

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    Objective We assessed the influence of age on warfarin dose, percentage time in target range (PTTR), and risk of major hemorrhage. Design Warfarin users recruited into a large prospective inception cohort study were categorized into three age groups: young (younger than 50 yrs), middle aged (50–70 yrs), and elderly (older than 70 yrs). The influence of age on warfarin dose and PTTR was assessed using regression analysis; risk of major hemorrhage was assessed using proportional hazards analysis. Models were adjusted for demographic, clinical, and genetic factors. Setting Two outpatient anticoagulation clinics. Participants A total of 1498 anticoagulated patients. Outcomes Warfarin dose (mg/day), PTTR, major hemorrhage. Results Of the 1498 patients, 22.8% were young, 44.1% were middle aged, and 33.1% were elderly. After accounting for clinical and genetic factors, compared with young warfarin users, warfarin dose requirements were 10.6% lower among the middle aged and an additional 10.6% lower for the elderly. Compared with young patients, middle-aged and elderly patients spent more time in target international normalized ratio (INR) range (p<0.0001), despite having fewer INR assessments (p<0.0001). Compared with young warfarin users, absolute risk of hemorrhage was marginally higher among the middle aged (p=0.08) and significantly higher among the elderly (p=0.016). Compared with young warfarin users, after adjustment, the relative risk of hemorrhage increased by 31% for each age category (p=0.026). Conclusions In a real-world setting, despite achieving better anticoagulation control, elderly patients had a higher risk of major hemorrhagic events. As the population ages and the candidacy for oral anticoagulation increases, strategies that mitigate the elevated risk of hemorrhage need to be identified

    Left renal agenesis with left ectopic ureter opening into vas deferens with urinary tract infection: Managed conservatively - A rare case report

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    Renal agenesis with an ectopic ureter draining into the reproductive system is a rare entity. It usually presents before third decade oflife. We are reporting a case of delayed presentation of left renal agenesis with ectopic ureter opening into the vas deferens withoutinfertility presenting due to urinary tract infection and managed conservatively

    Unraveling exciton kinetics of electroluminescence in colloidal quantum dot LEDs

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    We systematically studied emission kinetics of colloidal quantum dots in active light-emitting diodes using time-correlated single photon counting and conclusively revealed the combined effect of both electric field and charging acting together in reducing the quantum efficiency during operation. � 2016 OSA
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