Texture Analysis of a Color Image Using Traditional and Circular Gabor Filters

According to computer vision, segmentation is defined as the process of partitioning a digital image into multiple segments, where multiple segments are sets of pixels, in other words super pixels. Main objective of segmentation is to change and, or simplify the representation of a digital image into something that is much more significant and easier to analyze. Objects and boundaries like lines, curves, etc. in images can be normally located by using image segmentation. More accurately, the process of assigning a tag to every pixel in an image such that pixels with the same label share specific visual characteristics is known as image segmentation. The outcome of image segmentation is a set of surface ( especially of a curving form ) extracted from the image, a set of segments that as a group cover the entire image. In a segment every pixels are similar with regard to computed property or some characteristic, such as intensity, texture, or color. A Gabor filter is a linear filter used for edge detection in image processing which is named after Dennis Gabor. Gabor filter frequency and orientation representations are similar to those of human visual system, for texture representation and discrimination it has been found to be remarkably appropriate. Gabor filter is a powerful tool in texture analysis. Traditional Gabor function ( TGF ) represents a Gaussian function modulated with the help of an oriented complex sinusoidal signal

An analysis of software aging in cloud environment

Cloud Computing is the environment in which several virtual machines (VM) run concurrently on physical machines. The cloud computing infrastructure hosts multiple cloud service segments that communicate with each other using the interfaces. This creates distributed computing environment. During operation, the software systems accumulate errors or garbage that leads to system failure and other hazardous consequences. This status is called software aging. Software aging happens because of memory fragmentation, resource consumption in large scale and accumulation of numerical error. Software aging degrads the performance that may result in system failure. This happens because of premature resource exhaustion. This issue cannot be determined during software testing phase because of the dynamic nature of operation. The errors that cause software aging are of special types. These errors do not disturb the software functionality but target the response time and its environment. This issue is to be resolved only during run time as it occurs because of the dynamic nature of the problem. To alleviate the impact of software aging, software rejuvenation technique is being used. Rejuvenation process reboots the system or re-initiates the softwares. This avoids faults or failure. Software rejuvenation removes accumulated error conditions, frees up deadlocks and defragments operating system resources like memory. Hence, it avoids future failures of system that may happen due to software aging. As service availability is crucial, software rejuvenation is to be carried out at defined schedules without disrupting the service. The presence of Software rejuvenation techniques can make software systems more trustworthy. Software designers are using this concept to improve the quality and reliability of the software. Software aging and rejuvenation has generated a lot of research interest in recent years. This work reviews some of the research works related to detection of software aging and identifies research gaps

PHARMACOGNOSTICAL AND PHYTOCHEMICAL EVALUATION OF THE DRUG SAHADEVI (CYANTHILLIUM CINEREUM (L.) H. ROB.)

Sahadevi (Cyanthillium cinereum (L.) H.Rob.) (Family Asteraceae) commonly known as Purple Fleabane in English, Sahadei in Hindi and Poovankurunthila in Malayalam, an erect annual branched herb with pubescent cylindrical stem found as a weed throughout India is extensively used in folkore medicine. The present paper highlights the pharmacognostical and phytochemical characters of the plant to give clear standards for identification of the drug. Microscopic evaluation of root, stem and leaf as well powder microscopy of the plant were carried out. Physicochemical parameters like moisture content, total ash, water insoluble ash, acid insoluble ash, volatile oil content, sugar content, fibre content, alcohol soluble extractive and water soluble extractive were studied. Preliminary phytochemical analysis of the plant Sahadevi [Cyanthillium cinereum (L.) H.Rob.] showed the presence of steroid, flavonoid, glycoside, saponins and tannin. The present study signifies the use of TLC and HPTLC fingerprint profiles of aqueous and alcoholic extracts of the drug for determining the identity, purity of the drug and also for developing standards. The findings drawn from the study substantiates the genuineness of the drug Sahadevi [Cyanthillium cinereum (L.) H.Rob.], which is at par with the descriptions available in the authentic books

Partographic analysis of labour by modified who partograph in primigravidae: a prospective observational study

Background: The objective of this study was to assess the role of partogram in the analysis of outcome of spontaneous labour in primigravidae at term with singleton pregnancy with vertex presentation.Methods: This prospective observational study was carried out in Chinmaya Mission Hospital, Bangalore over a period of 2 years, from February 2013 to March 2015. A partographic analysis of labour was done in 300 primigravidae using modified WHO partogram. The study population was divided into 3 groups, group I- cervical dilatation and descent curve falling to the left of alert line. Group II- cervical dilatation and descent curve falling to the right of alert line. Group III cervical dilatation and descent curve falling to the right of action line. Partographic analysis was done and maternal and neonatal outcomes were studied in these groups.Results: In this study, 300 primigravidae in labour were analysed. Of these 282(94%) women belonged to group I, 18(6%) belonged to group II. There were no cases in group III. Mean durations of active phases of labour were 4.75 hrs and 7.74 hrs in group I and II. In group I, 275(98%) women delivered vaginally, 7(2%) underwent LSCS and 96 (34%) had instrumental deliveries. In group II, 14(78%) women delivered vaginally, 4(23%) had instrumental delivery and 4(22%) underwent LSCS.Conclusions: The WHO modified partogram is highly effective in reducing both maternal and neonatal morbidity. It aids in assessing the progress of labour and to identify when intervention is necessary

No-Load and Load Tests on 3 Phase Induction Motors used in Irrigation Pumping with Balanced and Unbalanced Supply

Agriculture is the major ocupation in villages and is backbone of India, where irrigated agriculture sector plays an important role in economic development and poverty alleviation of the nation. About 75% of present population of India obtains its livelyhood from the same. Iirrigation is harnessing of water resources for the crops by using motor pumps. Usually wells, tanks, perennial canal and multipurpose river valley projects are worked out. As electrical motors are very affordable and cheaper they are the usual choice to drive pumps. Due to the variation in supply to the pump motor the expected performance is not achieved and lead to variation in machine parameters. The operation of 3 phase motor on single phase supply leads to negative effects like overheating, insulation failure, torque pulsation, de rating and reduction in efficiency. In spite of these adverse effects on motor and irrigation power supply feeder, it is observed that farmers run their 3 phase motor on reduced voltage condition using capacitor splitter and other such. A study of operation of 3 phase motor on no-load and load is performed with balanced and unbalanced voltage condition. Simulation is performed in MATLAB/SIMULINK package for the comparison and justification

AN EFFECTIVE NEAREST METHOD TO REDUCE THE INTER-OBJECT'S DISTANCE

A fascinating problem referred to as Nearest Key phrases search would be to query objects, known as keyword cover, which together cover some query key phrases and also have the minimum inter-objects distance. Recently, we take notice of the growing availability and need for keyword rating in object evaluation for that better making decisions. It's quite common the objects inside a spatial database (e.g., restaurants/hotels) are connected with keyword(s) to point their companies/services/features. This motivates us to research a normal form of Nearest Key phrases search known as Best Keyword Cover which views inter-objects distance along with the keyword rating of objects. The baseline formula is inspired through the techniques of Nearest Key phrases search which is dependent on exhaustively mixing objects from various query key phrases to create candidate keyword covers. The in-depth analysis and extensive experiments on real data sets have justified the brilliance in our keyword-NNE formula. When the amount of query key phrases increases, the performance from the baseline formula drops significantly because of massive candidate keyword covers produced. To fight this drawback, the work proposes an infinitely more scalable formula known as keyword nearest neighbor expansion (keyword-NNE). In comparison towards the baseline formula, keyword-NNE formula considerably reduces the amount of candidate keyword covers produced

DDoS Attack Detection Using Cooperative Overlay Networks and Gossip Protocol

DDoS attacks have major impact on the affected networks viz. packet transmission delays, network outage, website sabotage, financial losses, legitimate-user blockage and reputation damage. Existing DDoS detection techniques are either implemented at the victim node (but the damage is already done) or at many intermediate routers which run DDoS detection algorithms, that adds additional delay and more processing. We aim to detect DDoS attacks by using a new technique of cooperative overlay networks which overcomes the above problems by implementing the DDoS detection algorithm at one hop distance nodes (called defense nodes) from the victim. DOI: 10.17762/ijritcc2321-8169.15062

Morintides: cargo-free chitin-binding peptides from Moringa oleifera

Statistics of the structure of mO1 generated by CNSsolve 1.3. (DOCX 16 kb

A PROSPECTIVE STUDY ON EFFECT OF FLUOXETINE ON PRIMARY HEMOSTASIS OF PATIENTS HAVING MAJOR DEPRESSIVE DISORDER

Objectives: The objectives of the study were to study the effect of fluoxetine on bleeding time, clotting time and platelet count of depressed patients. Methods: Patients diagnosed with major depressive disorder were included in the study to fulfill a sample size of 60. Before starting the treatment with fluoxetine, laboratory tests were done which included bleeding time, clotting time, and platelet count. Patients were requested to return for follow-up after 4 weeks of treatment and the laboratory tests were repeated. All the study end point analysis was analyzed based on per-protocol population. Continuous variables were expressed as mean and standard deviations, paired t-test was used for within group comparison and unpaired t-test was used for between group comparisons. p<0.05 was considered to be significant. For categorical variable, frequency and percentage were calculated. For continuous variable, that is, bleeding time, clotting time, and platelet count, mean and standard deviation were calculated. Results: At the end of 4 weeks, it was observed that there was a significant increase in bleeding time from 1.35±0.08 min to 1.46±0.08 min**. Similarly, there was a significant increase in clotting time from 3.30±0.15 min to 3.38±0.15 min**. It was also observed that there was a significant decrease in platelet count from 3.07±0.67 lakh cells/cu mm to 2.86±0.63 lakh cells/cu mm**. Conclusion: Fluoxetine has shown to increase bleeding time, clotting time, and decrease platelet count. Hence, fluoxetine induced risk of bleeding and its cardio protective action has to be considered while individualizing therapy in management of depression