Miracle-dz/UniFAR-FTUs huggingface dataset:
FACTUAL DEMONSTRATION: FOR EVALUATING THE SECURITY STRENGTH OF CLOUD COMPUTING

Cloud computing has turned into a part of the concentrated market today. Different cloud computing service providers are accessible with their administrations in the cloud environment. Procedures embraced by different suppliers to accomplish security are of shifting nature. To dissect and measure a specific service in view of its security properties is a test. This paper shows such anestimation by utilizing a factual demonstration. A factual model measures the security strength and calculates the factual strength esteem. A factual esteem includes different parameters that are essential measurements along which security of cloud services can be estimated. CSA (Cloud Service Alliance) benefit challenges are utilized to evaluate security of an administration and legitimacy of the model. Ampleness of the model is likewise confirmed by assessing trust an incentive for existing cloud administrations. Factual model in demonstrate goes about as a benchmark and positioning administration to quantify security in a cloud computing environment.
Stability Analysis of Grid for Variation in the System Performance

 Abstract — Microgrid is an aggregation of distributed generators (DGs) and energy storage systems (ESS) through corresponding power interface, such as synchronous generators, asynchronous generators and power electronic devices. Without the support from the public grid, the control and management of an autonomous microgrid is more complex due to its poor equivalent system inertia. To investigate microgrid dynamic stability, a small -signal model of a typical microgrid containing asynchronous gener-ator based wind turbine, synchronous diesel generator, power electronic based energy storage and power network is proposed in this paper. The small-signal model of each of the subsystem is established respectively and then the global model is set up in a global reference axil frame. Eigenvalues distributions of the microgrid system under certain steady operating status are identified to indicate the damping of the oscillatory terms and its effect on system stability margin. Eigenvalues loci analysis is also presented which helps identifying the relationship among the dynamic stability, system configuration and operation status, such as the variation of intermittent generations and ESS with different control strategies. The results obtained from the model and eigenvalues analysis are verified through simulations and experiments on a study microgrid system.
Image Denoising Using Curvelet Transformation Using Log Gabour Filter

—In this we propose a new method to reduce noise in digital image. Image corrupted by Gaussian Noise is still a classical problem. In images to reduce the noise or to improve the quality of image peak signal to noise ratio (PSNR) is compared . Higher the PSNR better the quality of the image.In this paper we explain the method curvelet Transformation using log gabor filter Experimental results show that our method gives comparatively higher peak signal to noise ratio (PSNR), are much more efficient and have less visual artifacts compared to other methods.
Design of Triangular Microstrip Antenna Using Quasi-Newton Algorithm of ANN

—This paper presents Artificial Neural Network (ANN) model as alternative method for the design of triangular microstrip patch antenna. The proposed technique uses Feed-Forward Back-Propagation Artificial Neural Network (FFBP-ANN) with one hidden layer and trained with Quasi-Newton algorithm as an approximate model for the design of triangular microstrip patch antenna. The Method of moments (MoMs) based IE3D software has been used to generate the data for training and validation of ANN. The result shows very good agreement simulated results.
A PROPORTIONAL LEARNING OF CLASSIFIERS USING BREAST CANCER DATASETS

: The aim of this research is to find out the best classifier with respect to accuracy on three different databases of breast cancer (Wisconsin Breast Cancer (WBC), Wisconsin Diagnosis Breast Cancer (WDBC) and Wisconsin Prognosis Breast Cancer (WPBC)) by using classification accuracy method. In the performance criterion of supervised learning classifiers such as Decision trees and SVM are compared, to find the best classifier in breast cancer datasets (WBC). Support Vector Machines (SVMs, also support vector networks) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. SVM proves to be the most accurate classifier with accuracy of 96.99%. In the performance of decision tree classifier with or without feature selection in breast cancer datasets, WBC. The selected attributes in the dataset are: Uniformity of Cell Size, Mitoses, Clump thickness, Bare Nuclei, Single Epithelial cell size, Marginal adhesion, Bland Chromatin and Class. In this paper compare the performance of SVM classifier and Decision Tree Classifier. Finally evaluate the performance based on the resource utilizations of classification and also based on the time efficiency. This paper mainly focuses on comparing the classifier and produces the classifier results and evaluates the performance of individual classifiers.
Isolation Of Mung Bean (Vigna radiata (L.) R. Wilczek) Proteins To Create A Skin Prick Test Reagent To The Diagnosis of Mung Bean Allergy

Mung bean has been widely used by Indonesianan and world people for food and mung bean can caused an allergy reaction, particularly on children. The Major allergen of mung bean has been identified were protein Vig r 1, Vig r 2, Vig r 4, and Vig r 6. This study aimed to create a skin prick test reagent of mung bean that meets the requirements of the European Pharmacopoeia Monograph on Allergen Products 7 (2010:1063) to diagnosis of allergy. The protein contents of mung bean isolates was 87.98% with an extraction yield at 82.7% and recovery at 20,5 g/100g nut . The mung bean protein isolate was composed of 16 protein bands with the molecular weights of 11.1-127.4 kDa. The allergenic mung bean protein has the molecular weights of 10.9142. 2 kDa after analysis with immunoblotting method. The mung bean protein isolate was formulated into a skin prick test reagent. The mung bean reagent met the requirements of the European Pharmacopoeia for the parameters of moisture content, protein content, sterility and microbiology. A skin prick test to the respondents indicated that the sensitivity value of mung bean reagent was 75% with a negative error rate at 25%. The specificity of mung bean reagent was 100% with an error rate of positive diagnosis occurrence at 0%.
A Hybrid Technique for Real Time License Plate Localization with the aid of FFBPNN-APSO

—Vehicle License Plate Recognition (VLPR) is an imperative constituent in Intelligent Transportation Systems (ITS), which encircles three foremost phases essentially License Plate Localization (LPL), Character Segmentation (CS), Character Recognition (CR). In this paper, we have intended to introduce a novel License Plate Localization algorithm subjected to Artificial Neural Networks (ANN). This proposed scheme involves distinct phases of pre-processing, image de-noising and enhancement, feature extraction, Neural Network training and License Plate detection. Followed by the mining of assorted statistical features, geometrical features, edge features and texture features from the vehicular image, they are given as the input to Feed Forward Back Propagation Neural Network (FFBPNN) in order to localize the License Plate. During the training process, the parameters of the FFBPNN will be optimized using the eminent Adaptive Particle Swarm Optimization (APSO) algorithm in order to improve the Neural Network convergence performance. The License Plate Localization of our proposed technique is analyzed with simple Feed Forward Back propagation Neural Network (FFBPNN) in terms of accuracy, sensitivity and specificity. The experimental outcomes demonstrate that the proposed procedure proficiently accomplishes an extremely high localization rate with elevated specificity (91.3%).
REVIEW ON SOLVENT EVAPORATION TECHNIQUE: A PROMISING METHOD FOR MICROENCAPSULATION

Microencapsulation is the process of surrounding or enveloping one substance within another substance on a very small scale, yielding capsules ranging from less than one micron to several hundred microns in size. The encapsulation efficiency of the micro particles or microsphere or microcapsule depends upon different factors like concentration of the polymer, solubility of polymer in solvent, rate of solvent removal, solubility of organic solvent in water etc. Microencapsulation is a well-established dedicated to the preparation, properties and uses of individually encapsulated novel small particles, as well as significant improvements to tried-and-tested techniques relevant to micro and nano particles and their use in a wide variety of industrial, engineering, pharmaceutical, biotechnology and research applications Substances may be microencapsulated with the intention that the core material be confined within capsule walls for a specific period of time. Alternatively, core materials may be encapsulated so that the core material will be released either gradually through the capsule walls, known as controlled release or diffusion, or when external conditions trigger the capsule walls to rupture, melt, or dissolve. This review article focuses on the use of the Solvent Evaporation technique, for the preparation of polymeric microcapsules, and modifications that have been developed over the years to improve the results obtained with this technique. The author also highlights some of the aspects of choices of process parameters, challenges and limitations of drug microencapsulation in real life. The review covers encapsulation materials, physics of release through the capsule wall and / or desorption from carrier, techniques of preparation, many uses to which microcapsules are put.
Analysis of Stability in Hybrid Microgrid of DC Network System

111 ISSN: 2278 – 7798 All Rights Reserved © 2015 IJSETR Abstract – This paper presents the analysis of dc network in a hybrid microgrid system. A hybrid microgrid consist if ac and dc subgrids inter connected through multi port power electronic interface (MPEIs). For modeling a multiple switching converter an averaging method is implemented. Pole zero analysis of a small signal model is performed for analyzing the stability of the network. Simulation results are verified.
Variation in the first intron of VRN-1 gene in winter and spring Iranian wheat landraces

Vernalization requirement in hexaploid wheat is largely controlled by a series of homoeologous Vernalization (Vrn) genes; Vrn-A1, Vrn-B1, and Vrn-D1. In this study, the first intron of Vrn1 in 395 spring and winter Iranian wheat landraces were analyzed. A primer pair of Intr1/A/F2 and Intr1/A/R3 was used to survey the large deletion in the 1st intron of Vrn-A1 locus and 710-bp and 1170-bp fragments were amplified in 14 and 21 genotypes, respectively. Both fragment were isolated and sequenced from spring and winter types and the sequences of 710-bp allele in winter and spring types showed 98% identity with four SNPs. Based on second primer pair, (Intr1/B/F and Intr1/B/R3), a fragment of 709-bp was amplified in 152 genotypes including 63 spring and 69 winter type. Sequence analysis revealed 7 SNPs between facultative and winter genotypes. A conservation region of 577-bp length with conservation coefficient of 1.00 was identified. In addition, a fragment of 1671-bp was amplified in 266 genotypes using Intr1/D/F and Intr1/D/R3 primer pair and a fragment of 997-bp based on Intr1/D/F-Intr1/D/R4 primer pair in 127 genotypes. In this fragment, a region of 435-bp with complete identity was detected. The analyzed sequences in Iranian wheat landraces showed high similarity with available sequences of known vernalization genes in NCBI databases.
Post-isometric Relaxation in Rehabilitation of Patients with Late-stage Coxarthrosis

End-stage coxarthrosis is a hip joint disease which creates severe pain and movement constraints. To analyze the effectiveness of the inclusion of post-isometric relaxation in conservative treatment 34 patients with stage III coxarthrosis were examined. The study used: ÐÐÐ¨, algofunctional Leken index, Harris test, McGill and WOMAC questionnaires. The inclusion of post-isometric relaxation techniques reduce pain syndrome (2.5 times) and improve (2.1 times) the functional activity of the joint.
A Pilot Investigation of the Effect of Postural Control Strategies and Balance in Children with Unilateral Lower-Limb Amputation

Introduction Previous research has addressed the effects of backpack loads on balance in adults and children, but there is a gap in the literature concerning children with lower-limb amputation. The purpose of this study was to assess the effect of backpack loads on postural sway in children with lower-limb amputation. Materials and Methods Four children with unilateral Syme amputation and five controls were assessed in quiet standing with backpacks loaded with 0%, 10%, 20%, and 25% of body weight. Kinetic data were collected using force platforms, and the path of the center of pressure was calculated. Results Considering the sway parameters, the control group showed the expected increase with each successive weight level, whereas the group of children with amputation showed an unexpected nonlinear response as weight increased. Conclusions Postural control mechanisms used by the children with amputation may be different from their able-bodied counterparts.
EXTRACTION AND CHARACTERIZATION OF GYMNEMAGENIN IN GYMNEMA SYLVESTRE LEAVES

The objective of the present investigation is to extract and characterize the active constituent, Gymnemagenin in Gymnema sylvestre leaves using various Chemical and Analytical techniques. Extraction of Gymnema sylvestre leaves powder is done by Continuous soxhlet extraction with 80% ethanol. Identification was done by various chemical tests and TLC. Characterization and quantification by HPLC method, which is quick, reliable and sensitive. LC system Shimadzu with isocratic pumps LC 20-AT, and U.V Detector SPD 20-A was used. Reverse Phase Column C18 (250mm x 4.6mm, 5A° particle size) and a mobile phase consisting of 100 mM ammonium acetate buffer: acetonitrile (75: 25, v/v) were employed. Chemical tests and TLC revealed the presence of Gymnemic acid and its aglycone Gymnemagenin. TLC profile revealed Rf value of 0.41 for Gymnemagenin in the extract and a retention time of 7.366 minutes in HPLC method with a concentration of 3.62 μg/ml in the extract. Various validation Parameters were developed from the HPLC method for identification and quantification of gymnemagenin. INTRODUCTION: Gymnema sylvestre R.Br. (Asclepiadaceae) commonly known as Gurmar is a herb native to the tropical forests of southern and central India and Sri Lanka. Gymnema sylvestre leaves are known for several medicinal uses such as antidiabetic, hypolipidemic, stomachic, diuretic, refrigerant, astringent and tonic 9, 10 . The major bioactive constituents of G. sylvestre are a group of triterpenoid glycosides known as gymnemic acids with gymnemagenin as common aglycone. Purified gymnemic acids have been reported as antihyperglycemic, normoglycemic and antihyperlipidemic in in vitro studies. QUICK RESPONSE CODE DOI: 10.13040/IJPSR.0975-8232.8(8). 3503-07 Article can be accessed online on: www.ijpsr. com DOI link: http://dx.doi. org/10.13040/IJPSR.0975-8232.8 (8). 3503-07 Gymnemic acids elicit antihyperglycemic effect by regeneration of pancreatic cells, stimulating insulin release and inhibition of glucose absorption. 8 Gymnemic acid is a well known constituent used in polyherbal formulations for management of Diabetes Mellitus. Gymnemic acid is a triterpenic glycoside obtained from Gymnema sylvestre leaves. Present study is undertaken to develop and validate a rapid sensitive method of estimation of the the constituent. Major saponin glycoside found in Gymnema leaves is gymnemic acids. Gymnemic acid, a group of complex triterpenic glycosides were reported to be responsible for the antidiabetic action. Gymnemagenin is not present in free form, it is a common aglycone of gymnemic acids which can be produced after acidic and basic hydrolysis 1 . Direct estimation of gymnemic acids is very difficult because they are a complex mixture of several
Enhancing Underwater Image by Fusion

— We introduce an efficient method to improve the quality of images which are captured underwater and images which are degraded by absorption and scattering of light. This method requires only one image that does not need any information about the underwater conditions or any specific type of hardware. The image is enhanced by reducing noise levels, better exposure of dark regions, enhanced global contrast and edges are enhanced significantly. It enhances the image by combining two images which are derived from the output of color enhancement and white-balancing result of the real image
Prevalence and association of anemia with CKD: A hospistal based cross- sectional study from Nepal

A hospital based cross-sectional study was conducted in department of biochemistry, Tribhuvan University Teaching Hospital (TUTH), Nepal. We showed the prevalence of anemia in chronic kidney disease (CKD) and association between anemia and CKD. Total of 163 predialysis patients in all stages of CKD and 163 of non-CKD healthy controls were enrolled. CKD was defined and classified as per national kidney foundation guidelines. We analyzed biochemical profile on BT 2000 Plus biotechnica instruments clinical chemistry analyzer and hematological profile on xs-1000i. Descriptive statistics and testing of hypothesis were used for the analysis using SPSS 16 software. The incidence of anemia in stage I, Stage II, Stage III, stage IV, stage V and all CKD were found to be 17.64%, 27.78%, 48.38%, 74.19%, 80% and 47.85% respectively. Hemoglobin level was significantly lower in CKD cases than non-CKD controls (P-value <0.001). 47.8% of CKD cases and 13.5% of non-CKD controls had anemia (Odds ratio 5.88, P-value <0.001). 41.3% of male CKD cases and 8.7% of male non-CKD controls had anemia (Odds ratio 7.39, P-value <0.001). 56.34% of female CKD cases and 13.5% of female non-CKD controls had anemia (Odds ratio 5.25, P-value <0.001). Anemia was seen in all stages of CKD. Prevalence of anemia increased as kidney function decreased. A strong association was found between an anemia and CKD.
Design and Implementation of PC Operated Flying Robot for Rescue Operation in Coalmines

--This work finds a rescue flying robot, which is used for detecting the explosion environment of coalmine and rescuing miners who are trapped in the underground coalmine after gas explosion. Rescue crews usually don't know the actual situation of the mine tunnel under such circumstances. Therefore it can be very dangerous for rescuers to go into mine tunnels to search survivors without detecting environmental information beforehand. This embedded control system can achieve many tasks of the robot, such as motion control, environmental information acquisition etc. At present, without monitoring the environmental conditions inside the coalmines the persons are sent into coalmines. Sensors are placed to their helmets, based on the sensed information the buzzer present on the helmet turns on. The disadvantage of this method is, it gives information regards people present inside coalmines only. Proposed system arise a solution for the existing method. It over comes all the drawbacks, mainly for rescue operation in coalmines.
Effect of Frequency and Moisture Variation on Dielectric Properties of Pearl Millet in Powder Form

Values of dielectric constant (ε’ ), dielectric loss (ε’’), relaxation time (τ), conductivity (σ) of Pearl millet (HHB 62) were measured at room temperature at four different frequencies viz 4.65 GHz, 7.00 GHz, 9.35 GHz and 14.98 GHz in microwave region, using two point method and employing a specially designed dielectric cell for powders. Also, effect of variation of moisture content on dielectric properties of Pearl millet in powder form was studied at room temperature at 9. 35 GHz. Both, the dielectric constant and loss factor are found to decrease with increase in frequency and to increase with increase in moisture content. The present values of dielectric constant are in good agreement with the values reported by other authors.
Physalis peruviana Linn. fruit extract improves insulin sensitivity and ameliorates hyperglycemia in high-fat diet low dose STZ-induced type 2 diabetic rats

Physalis peruviana Linnaeus, belonging to the family Solanaceae and genus Physalis, possess a wide array of pharmacological properties. In the absence of systemic studies in the literature, the present study was aimed to explore the antidiabetic potential of the Physalis peruviana fruits in high fat diet fed-low dose STZ induced experimental type 2 diabetes in rats. Phytochemical screening of the fruit extract was performed. Diabetic rats were treated with Physalis peruviana fruit extract at a dosage of 200 mg/kg b.w daily for 30 days. Metformin (200 mg/kg. b.w) was used as a standard drug. The physiological criterions such as food and fluid intake were recorded. The levels of fasting blood glucose, plasma insulin and HbA1c were also estimated. Intraperitoneal insulin tolerance test was performed. The level of glycogen content in liver tissue was estimated. The activities of serum aspartate transaminase, alanine transaminase and alkaline phosphatase were assayed. The fruit extract supplementation attenuated the elevated levels of glucose, glycosylated hemoglobin, AST, ALT and ALP. The insulin level was improved with an improvement in hepatic glycogen content of insulin resistant diabetic rats. The fruit extract improves insulin sensitivity which is evident from intraperitoneal insulin tolerance test. These results showed that Physalis peruviana fruits are non toxic in nature and possess significant antidiabetic properties which might be attributed to the presence of biologically active ingredients present in the fruit extract.
Implementation of Hybrid Controller Based PMSM Drive for Improved Dynamic Response

146 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: BS2692128218/19©BEIESP Abstract: This paper provides a closed loop Field Oriented Control technique incorporating Fuzzy Logic Controller for torque ripple minimization and speed control of permanent magnet synchronous motor drive. The execution of the proposed FLC technique is compared with that of the conventional Proportional Integral controller. The ability of the proposed controller is analyzed in simulation for various operating conditions. The results show that FLC based PMACSM drive provides improved speed and torque response compared to conventional PI controller. The proposed technique is implemented in MATLAB/Simulink.
Abrus precatorius L. : A medicinal plant with potential as antibacterial agent

Abrus precatorius L. is a medicinal plant. The medicinal properties of the plants are determined by the presence of secondary metabolites (phytochemical constituents) in it. In the present study the phytochemical analysis and antibacterial activity in the methanol extract of five parts (leaves, stem, flowers, seed coat and seeds) of A. precatorius was carried out to analyses the presence of phytochemicals and inhibitory effect of the plant against plant (Xanthomonas campestris) and animal pathogenic bacteria (Aeromonas hydrophila). The result of the phytochemical analysis showed the presence of phenolic compounds, tannins, alkaloids, flavonoids and steroids in the selected plant. The methanol extract of seeds showed significant inhibition (p< 0.005) in antibacterial studies. Hence due the presence of maximum numbers of the phytochemicals and inhibitory effects, A. precatorius plant might be used as antibacterial agent to control the plant and animal pathogens.