Towards applying FCM with DBSCAN for Detecting DDoS Attack in Cloud Infrastructure to Improve Data Transmission Rate

Cloud is a pay-to-use technology which can be used to offer IT resources instead of buying computer hardware. It is time saving and cheaper technology. This paper analyzes the DDoS attack on cloud infrastructure and can be detected by using FCM with DBSCAN hybrid algorithm that classifies the clusters of data packets and detects the outlier in that particular data packet. The experimental outcome shows that the enhanced hybrid approach has better results in detecting the DDoS attack. The DDoS attack targets the main host of the cloud infrastructure by sending unwanted packets. This attack is a major threat to the network security. The FCM with DBSCAN hybrid approach detects outliers and also assigns one specific data point in clusters to detect DDoS attack in cloud infrastructure. By using this hybrid approach the data can be grouped as clusters and the data beyond the noise level can also be detected. This algorithm helps in identifying the data that are vulnerable to DDoS attack. This detection helps in improving the data transmission rate

In situ carbon coated Li2MnSiO4/C composites as cathodes for enhanced performance li-ion batteries

An in-situ carbon coated Li2MnSiO4/C composite was synthesized by a nanocomposite gel precursor route using starch as the carbon source. Our approach enabled a uniform coating of amorphous carbon on Li 2MnSiO4 with an orthorhombic crystalline structure, which was confirmed by electron microscopy, X-ray diffraction and Raman studies. Conducting-atomic force microscopy (C-AFM) images also revealed the presence of high current interconnected domains in the composite, indicating the ability of the carbon coating to facilitate electron movement. Galvanostatic charge-discharge studies demonstrated outstanding initial charge and discharge capacities, respectively, of 330 and 195 mAh g-1 at 0.05 C-rate for the composite, and after 30 cycles a reversible capacity of 115 mAh g -1 was retained. The electrochemical performance of the neat silicate was dismal (10.6 mAh g-1 at 0.05 C-rate), which again reiterated the role of carbon in improving the conduction and Li-ion storage capacity of the silicate. An insignificant change in charge transfer resistance, with cycling, as inferred from impedance spectroscopy illustrated that charge transfer and transport processes remain facile with cycling, thus demonstrating Li 2MnSiO4/C to be promising cathode Li-ion batteries

Studies on the hepatic and renal status of patients with sickle cell disease from western zone of Maharashtra, India

Background: Sickle cell disease (SCD) is the most common inherited monogenic genetic disorder in Indian tribal and non-tribal population. This condition is caused by mutations in the hemoglobin gene and inherited in an autosomal recessive pattern. Pathogenesis in SCD varies widely from patient to patient. Most of the infections affect SCD pathogenesis, so early diagnosis of the same is important.Methods: The present study was designed to evaluate the biochemical parameters to assess the hepatic and renal status in SCD subjects from west zone of Maharashtra, India. Patients with sickle cell disease (n=50) from primary health centres of Palghar were included in this study and age and sex matched healthy persons (n=50) were controls. Informed written consent was obtained from all the study subjects.Results: Our findings showed that Aspartate trasaminase (AST), Alanine transaminase (ALT), bilirubin and creatinine increased significantly above normal level in SCD subjects. Albumin and urea levels in SCD were found to have decreased in the SCD subjects. There is a slight increase in uric acid and creatinine levels; this indicates an adverse effect on hepatic function and moderate effect on renal function in sickle cell anemia patients. Most common events of SCD pathogenesis, can be categorized into hemolytic events and vaso-occlusive crisis-based events. Adverse effect on hepatic function can lead to further hemolytic events.Conclusions: Although specific biomarkers related to these different events needs to understand for assessment of pathogenesis, the ones we have studied can be useful to assess the status of hepatic and renal function to follow the effectiveness of therapeutic interventions.

Genotoxicity Evaluation of Commercially Available Acid Red Dye by Comet Assay in Fish (Cyprinus Carpio)

Genotoxicity of commercially available acid red dye on fish was evaluated. Fish were exposed to various concentrations of the dye and gill processed for comet assay. Nucleoids were visually scored and categorized into various damage degrees. Significant increase (p < 0.05) in the percentage and distribution of damaged nucleoids was recorded in all dye-treated groups over control. DNA damage scores (AU) increased with exposure concentrations and dose-response was observed at higher doses. From the results it is concluded that commercially available acid red dye is potentially genotoxic to fish. The results are preliminary and further studies are warranted to acknowledge this effect. Keywords: acid red, commercial dyes, genotoxicity, comet assay

Figure 1. Self Centering Steady Rest. Case Study On Circularity Deviation Of Top Arm Holes In Self Centering Steady Rest

Abstract: A study conducted in an Small and Medium scale Enterprise (SME) revealed that a Vertical Milling Centre (VMC) frequently faces circularity deviations while machining the Arm of a Self Centering Steady Rest. A cause and effect analysis is carried out to determine the probable causes of deviations. Further more a statistical analysis of the deviations using ANOVA revealed that the circularity deviations are related to the linear worktable movement of the VMC. In order to overcome the deviations VMC was recalibrated. After recalibration of VMC, an analysis on new sample revealed that there was no circularity deviations observed beyond the specified tolerance limits

Metabolite and enzyme profiles of glycogen metabolism in Methanococcoides methylutens

When a buffered anaerobic cell suspension of Methanococcoides methylutens was maintained under methanol-limited conditions, intracellular glycogen and hexose phosphates were consumed rapidly and a very small amount of methane formed at 4 h of a starvation period. When methanol was supplemented after a total of 20 h of starvation, a reverse pattern was observed: the glycogen level and the hexose phosphate pool increased, and formation of methane took place after a lag period of 90 min. A considerable amount of methane was formed in 120 min after its detection with a rate of 0.18 µmol mg-1 protein min-1. When methane formation decreased after 270 min of incubation and finally came to a halt, probably due to complete assimilation of supplemented methanol, the levels of glycogen and hexose monophosphates decreased once again. However fructose 1,6-diphosphate levels showed a continuous increase even after exhaustion of methane formation. In contrast to the hexose phosphate pool, levels of other metabolites showed a small increase after addition of methanol. The enzyme profile of glycogen metabolism showed relatively high levels of triose phosphate isomerase. Glyceraldehyde 3-phosphate dehydrogenase reacted with NADPH with a three-fold higher activity as compared to that with NADH

An AI-based Intelligent System for Healthcare Analysis Using Ridge–Adaline Stochastic Gradient Descent Classifier

Recent technological advancements in information and communication technologies introduced smart ways of handling various aspects of life. Smart devices and applications are now an integral part of our daily life; however, the use of smart devices also introduced various physical and psychological health issues in modern societies. One of the most common health care issues prevalent among almost all age groups is diabetes mellitus. This work aims to propose an Artificial Intelligence (AI) – based intelligent system for earlier prediction of the disease using Ridge Adaline Stochastic Gradient Descent Classifier (RASGD). The proposed scheme RASGD improves the regularization of the classification model by using weight decay methods, namely Least Absolute Shrinkage and Selection Operator(LASSO) and Ridge Regression methods. To minimize the cost function of the classifier, the RASGD adopts an unconstrained optimization model. Further, to increase the convergence speed of the classifier, the Adaline Stochastic Gradient Descent classifier is integrated with Ridge Regression. Finally, to validate the effectiveness of the intelligent system, the results of the proposed scheme have been compared with state-of-art machine learning algorithms such as Support Vector Machine and Logistic Regression methods. The RASGD intelligent system attains an accuracy of 92%, which is better than the other selected classifiers

Enhanced nanoscale conduction capability of a MoO 2/Graphene composite for high performance anodes in lithium ion batteries

A MoO 2/Graphene composite as a high performance anode for Li ion batteries is synthesized by a one pot in-situ low temperature solution phase reduction method. Electron microscopy and Raman spectroscopy results confirm that 2D graphene layers entrap MoO 2 nanoparticles homogeneously in the composite. X-ray photoelectron spectroscopy shows the presence of oxygen functionalities on graphene, which allows intimate contact between MoO 2 nanoparticles and the graphene. Conductive atomic force microscopy reveals an extraordinarily high nanoscale electronic conductivity for MoO 2/Graphene, greater by 8 orders of magnitude in comparison to bulk MoO 2. The layered nanostructure and the conductive matrix provide uninhibited conducting pathways for fast charge transfer and transport between the oxide nanoparticles and graphene which are responsible for the high rate capability, a large lithium ion capacity of 770 mAh g -1, and an excellent cycling stability (550 mAh g -1 reversible capacity retained even after 1000 cycles!) at a current density of 540 mA g -1, thereby rendering it to be superior to previously reported values for neat MoO 2 or MoO 2/Graphene composite. Impedance analyses demonstrate a lowered interfacial resistance for the composite in comparison to neat MoO 2. Our results demonstrate the enormous promise that MoO 2/Graphene holds for practical Li-ion batterie

Synthesis, characterization, biological and catalytic activity of carboxymethyl chitosan schiff base metal complexes

The Schiff base of carboxymethyl chitosan/p-dimethylaminobenzaldehyde (CMC-SB), as well as its complexes with cobalt (CMC-SB-Co), nickel (CMC-SB-Ni), and zinc (CMC-SB-Zn), were synthesised and studied using FTIR, XRD, TGA, DSC, and SEM. Schiff base metal complex production has been verified by the FTIR and XRD data. According to the thermal studies, the CMC-SB Zinc combination has better thermal stability than other complexes. The material is porous and rough, and the SEM results show that it has several potential uses in the biological field. The zinc complexes have increased activity when it comes to catalysis. It has been determined by the MTT test and ALP activity that the synthesised sample is non-toxic, compatible, and has good antioxidant activity

CyberKnife® enhanced conventionally fractionated chemoradiation for high grade glioma in close proximity to critical structures

<p>Abstract</p> <p>Introduction</p> <p>With conventional radiation technique alone, it is difficult to deliver radical treatment (≥ 60 Gy) to gliomas that are close to critical structures without incurring the risk of late radiation induced complications. Temozolomide-related improvements in high-grade glioma survival have placed a higher premium on optimal radiation therapy delivery. We investigated the safety and efficacy of utilizing highly conformal and precise CyberKnife radiotherapy to enhance conventional radiotherapy in the treatment of high grade glioma.</p> <p>Methods</p> <p>Between January 2002 and January 2009, 24 patients with good performance status and high-grade gliomas in close proximity to critical structures (i.e. eyes, optic nerves, optic chiasm and brainstem) were treated with the CyberKnife. All patients received conventional radiation therapy following tumor resection, with a median dose of 50 Gy (range: 40 - 50.4 Gy). Subsequently, an additional dose of 10 Gy was delivered in 5 successive 2 Gy daily fractions utilizing the CyberKnife^®image-guided radiosurgical system. The majority of patients (88%) received concurrent and/or adjuvant Temozolmide.</p> <p>Results</p> <p>During CyberKnife treatments, the mean number of radiation beams utilized was 173 and the mean number of verification images was 58. Among the 24 patients, the mean clinical treatment volume was 174 cc, the mean prescription isodose line was 73% and the mean percent target coverage was 94%. At a median follow-up of 23 months for the glioblastoma multiforme cohort, the median survival was 18 months and the two-year survival rate was 37%. At a median follow-up of 63 months for the anaplastic glioma cohort, the median survival has not been reached and the 4-year survival rate was 71%. There have been no severe late complications referable to this radiation regimen in these patients.</p> <p>Conclusion</p> <p>We utilized fractionated CyberKnife radiotherapy as an adjunct to conventional radiation to improve the targeting accuracy of high-grade glioma radiation treatment. This technique was safe, effective and allowed for optimal dose-delivery in our patients. The value of image-guided radiation therapy for the treatment of high-grade gliomas deserves further study.</p