Miracle-dz/UniFAR-FTUs huggingface dataset:
A Review on Removal of Rain Streaks in an Image by using Image Decomposition

: Weather conditions i.e. rain, snow, fog, mist and haze degrade the quality also performance of outdoor vision system. Rain is one of the type of weather condition as well as rain is the major component for the dynamic bad weather. Rain introduces sharp intensity variations in images, which degrade the quality or performance of outdoor vision systems. These intensity variations depend on various factors, such as the brightness of the scene, the properties of rain, and the camera parameters. Rain removal has many applications in the field of security surveillance, vision based navigation, video or movie editing and video indexing or retrieval. So, it is important to remove rain streaks from the images. The detection and removal of rain streaks in an image is done by image decomposition which depends on Morphological Component Analysis (MCA) by performing dictionary learning and sparse coding. Rain streaks removal is fall into the category of image noise reduction. After Removal of rain streaks we can easily identify feature in the image.
High Permittivity Poly ( methyl methacrylate ) / Sr 2 TiMnO 6 Composites for high energy storage capacitor application .

High permittivity Poly (Methyl Methacrylate) (PMMA) and Sr2TiMnO6 (STMO) composites were fabricated via melt mixing followed by hot pressing technique. These were characterized using X-ray diffraction (XRD), Scanning electron microscopy (SEM), thermo gravimetric (TGA), Density, Hardness, electrical properties like Volume resistivity, Permittivity and AC conductivity. SEM revealed that the crystallites are well distributed and the porosity is almost negligible. Both density and hardness were improved as the STMO content increased in the PMMA matrix. Addition of STMO in PMMA reduces the resistivity of the composite due to the increase in the conductivity of the composite as revealed by the AC conductivity. Permittivity values as high as 23 @ 100 Hz has been achieved (PMMA+STMO-50%), demonstrating that this PMMA+STMO composite can be exploited for the fabrication of high energy storage capacitor application.
Image Retrieval by Matching Sketches and Images

—the proposed system provides a unique scheme for Content based image retrieval (CBIR) using sketches. CBIR is the application of computer vision to the image retrieval problem that is the problem of searching for digital images in the large database. Content based means the search will analyze the contents of the images. The main aim of CBIR is to extract visual content of an image automatically like color, texture, shape or any combination of them. The goal is to retrieve all the images whose content is similar to those of query image. Even a query sketch which is given as input will display related images from the frequently used database (SBIR). Sketch will be drawn in a provided drawing area in the proposed system. After the preprocessing on the input sketch, descriptors are formed using HOG, EHG, SIFT algorithms. This Paper will focus on implementation of SBIR system, in which descriptors will reduce the gap between the sketch and the image.
WRITER IDENTIFICATION BY TEXTURE ANALYSIS BASED ON KANNADA HANDWRITING

— Writer identification problem is one of the important area of research due to its various applications and is a challenging task. The major research on writer identification is based on handwritten English documents with text independent and dependent. However, there is no significant work on identification of writers based on Kannada document. Hence, in this paper, we propose a text-independent method for off-line writer identification based on Kannada handwritten scripts. By observing each individual’s handwriting as a different texture image, a set of features based on Discrete Cosine Transform, Gabor filtering and gray level co-occurrence matrix, are extracted from preprocessed document image blocks. Experimental results demonstrate that the Gabor energy features are more potential than the DCTs and GLCMs based features for writer identification from 20 people.
International Journal of Pharmaceutical Science and Health Care Issue 5, Vol. 3 (May-June. 2015) Available online on http://www.rspublication.com/ijphc/index.html ISSN 2249 – 5738

The genus Mycobacterium comprises different species, among them the most contagious and infectious bacteria. The members of the complex Mycobacterium tuberculosis are the most virulent microorganisms that have killed human and other mammals since millennia. Additionally, with the many different mycobacterium sequences available, there is a crucial need for the visualization and the simplification of their data. In this present study, we aim to highlight a comparative genome, proteome and phylogeny analysis of different tuberculosis strains using a set of computational and bioinformatics tools (CLC bio , CLC ClustalW). Using the CLC bio workbench the similarity and differences among the strains are known. Further mutational study is carried out on obtained protein sequence KeywordsCLC Bio, ClustalW, Proteome, Genome, Mycobacterium tuberculosis Corresponding Author: Dr.H. Gurumurthy
IN SILICO SCREENING OF COMPOUNDS FROM TURMERIC (Curcuma longa L.) AGAINST CANCER CAUSING PROTEINS

Turmeric (Curcuma longa L) has an extensive history of use in Ayurvedic medicine in the treatment of inflammatory conditions. Several pharmacological activities, including antioxidant and antimicrobial properties, have been attributed due to presence of secondary metabolite, curcumin. Present article focuses on in silico anti-cancer properties of phytocompounds present in turmeric. Based on the present studies, in-silico screening approaches suggests that anticancer properties of different compounds from turmeric compounds like 1-(4-hydroxy-3-methoxyphenyl)-5-(4hydroxyphenyl)-1, 4-pentadiene-3-one, curcumin and 1,5bis(4-hydroxy-3-methoxyphenyl)-penta-(1E,4E)-1,4-dien3-one shows the better anti-cancer activities against cervical cancer (CRAS), lung cancer (SOX 2), CPL1 and BRCA1 related proteins respectively.
Estimation of Population Based Colorectal Cancer Survival Analysis Using Cox Proportional Hazards Model

Colorectal cancer (CRC) is a tumour of the colon and rectum. Most cases of CRC are sporadic; meaning there are no known hereditary (genetic) components, and it develops slowly over several years through adenomatous polyps. Changes in bowel habits, blood in the stool, and anaemia are cardinal symptoms and sings of CRC. In later stages, fatigue, anorexia, weight loss, pain, jaundice, and other signs and symptoms of locally advanced and metastatic disease occur. The aim of this study is to estimate the population based colorectal cancer survival analysis using cox Proportional Hazards model, in order to fits colorectal cancer data in population-based research. This research was a five-year retrospective study on data from a record of colorectal cancer patients that received treatments from 2013 to 2017 in Radiotherapy Department of Usmanu Danfodiyo University Teaching Hospital, Sokoto, being it one of the cancer registries in Nigeria. 9 covariates were selected to fit colorectal cancer data using Cox Regression Models. The 5-year median survival was found to be 121 days. From the results, it was concluded that the predictor variables could significantly predict the survival of colorectal cancer patients using Cox proportional model. Also the results show that the data met Cox Proportional Hazards Assumptions.
Grouping of Personalized Web Documents by Naming Aliases

In lots of works such as information retrieval, sentiment analysis, person name disambiguation as well as in biomedical fields it is required to identify the accurate references to an entity among a list of references. More previous work had been done on solving lexical ambiguity. Here we proposed a method that is based on referential ambiguity. In this paper we proposed a method which is based on referential ambiguity to extract correct alias for a given name. Given a person name and / or with context data such as location, organization retrieves top K snippets and depth up to level two from a web search engine. With the help of lexical pattern extract candidate aliases. To find correct alias from a list of aliases we used n-depth crawling method. This method is useful to improve the precision and minimize the recall than the previous baseline method. Using these candidate aliases related personalized web documents are clustered or grouped. Grouping attains high accuracy and reduces the complexity.
Simulation Study on Direct Torque Control of Induction Motor using Neural Network

DC motors were used in adjustable speed drives system in most of the industrial applications, due to the various disadvantages of DC motor drives system, AC motor drives has been replaced from last four decades, after the existence and availability of fast acting semiconductor devices. The methods used to control the torque using induction motor were found to be not as better as that of DC motor; However lot of research work is in progress to develop good response of torque in AC motor drives. In this paper the high performance implementation of induction motor control called as direct torque control (DTC) using neural network has been used to reduce torque ripple. Simulation work is carried using MATLAB/SIMULINK software based on PI controller and compared with the results obtained with neural network control.
A review paper on different pattern classification techniques based on web usage mining with Neural Network

— Area of data mining includes data preprocessing, data classification, cluster analysis, Association etc. The traffic on World Wide Web is increasing day by day and large amount of data generated due to user’s interaction with web sites. Web mining is the application of data mining techniques which includes web usage mining, web content mining and the third one is web structure mining. For the pattern classification in web mining different algorithms are used. This paper includes different pattern classifications techniques which are used for web usage mining
Evaluation of climate conditions in Remanso/BA and their relations with agricultural production in the Semiarid

This paper aims to present the climatic conditions of the municipality of Remanso in the State of Bahia, taking into account the intrinsic relationship between climate change and agricultural production of tomato (Solanum lycopersicum) in the semiarid region, through data analysis of Standard Precipitation Index SPI of about 30 years. The results showed that the tomato production system presents good prospects of obtaining positive profitability, considering the climatological indices. However, technical and managerial assistance and agricultural research actions, especially in the areas of fertilization, plant tutoring and irrigation, are necessary to promote improvement in productive efficiency. Keywords— Climatology, Agriculture, Oscillations, Semiarid.
FORMULATION AND EVALUATION OF ORODISPERSIBLE TABLETS OF TASTE MASKED NIZATIDINE

The purpose of the research was to mask the intensely bitter taste of Nizatidine and to formulate Orodispersible tablet (ODT) and get rapid onset of action, to increase bioavailability and to increase patient compliance. Orodispersible tablets are an innovative technology, which disperse rapidly, usually in a matter of seconds, without the need for water, providing optimal convenience to the patient. The taste masking was done by complexing Nizatidine with methacrylate copolymer, Eudragit E100 in different ratios by mass extrusion method. The drug polymer complex was optimized by determining the drug content and in vitro drug release in simulated salivary fluid (SSF) of pH 6.8. Complex which did not release the drug in SSF was considered as the optimized batch and used for formulation of ODTs. The effects of various superdisintegrants such as Sodium Starch Glycolate, Croscarmellose sodium, Crosspovidone used in formulation of ODTs were studied. The formulation blend was evaluated for bulk density, tapped density, compressibility index, angle of repose etc. The ODTs were prepared by direct compression technique and evaluated for hardness, friability, wetting time, in vitro dispersion time, in vitro drug release etc. Among all formulation, F3 containing 5% w/w concentration of crosspovidone was considered to be the best formulation, with disintegration time of 34 seconds and in vitro drug release of 99.5% in 15 minutes in simulated gastric fluid (SGF). Thus, results conclusively demonstrated successful masking of taste and rapid disintegration of the formulated tablets.
“OKWELOKOLA AND GOVERNMENT INTERVENTIONS CONTRIBUTE TO LOW NUTRITION”: A QUALITATIVE STUDY OF UNDERNUTRITION ROOT CAUSES IN KAGERA BORDER REGION, TANZANIA

Tanzanian societies’ nutrition status is generally poor with under-fives and women of reproductive age being the mostly affected groups. The prevalence of malnutrition varies with residence with rural inhabitants at an increased risk. Quantitative data on poverty and chronic malnutrition in Tanzania and Kagera region, in particular, are readily available. However, we are gravely missing the in-depth understanding of this public health problem from the affected communities’ constructed perspectives within their lived and defined worlds. We conducted a qualitative study in the Tanzania-Uganda borderlands to understand the perceived causes of low nutrition problem reported in the region. Study participants identified three categories of allied factors influencing low nutrition status in the region including okwelokola-government interventions-low nutrition linkage that we discuss in this paper. It is concluded that successful intervention aiming at improving the nutrition status of Kagera residents should go beyond the biomedical model of understanding malnutrition and its causes to simultaneously addressing and finding multisectoral solutions to perceived causes as presented in this paper.
Review On Image Segmentation Techniques

This paper is discussing on the subject of Image segmentation method, techniques Segmentation is the phase where a noteworthy commitment is made during automated study by delineating structures of interest and discerning them from background tissue. Image segmentation is useful in Image Compression, Image Extracting and Image Display Segmentation algorithms are based on two properties of intensity values-discontinuity and similarity. First category is to partition an image based on the abrupt changes in the intensity and the second method is to partition the image into regions that are similar according to a set of predefined criteria.
Identification of some Organic Compounds in Sugarcane vinasse by Gas Chromatography- Mass Spectrometry and Prediction of their Toxicity Using TEST Method

October-December 2015 899 JCPS Volume 8 Issue 4 Identification of some Organic Compounds in Sugarcane vinasse by Gas ChromatographyMass Spectrometry and Prediction of their Toxicity Using TEST Method Mohamed Awad Fagier*, A. A. Elmugdad, M. E. A. Aziz, Nazar. M. Gabra Department of Chemistry, Faculty of Science, Sudan University of Science and Technology, Sudan. Department of Chemistry, Faculty of Applied Science, Red Sea University, Sudan. *Corresponding author: Phone: +249121413838, Fax: +249-183792601, E-mail: mfagery@yahoo.com ABSTRACT The varied characteristics of vinasse compounds make the control of vinasse pollution very challenging. To meet this challenge, it is necessary to detect and predict the organic substances that cease toxicity and pollution as well. GC-MS was used to identify the organic compounds and Toxicity Estimation Software Tool (TEST) method was used to estimate the toxicity of the substances. In this work we measured toxicity by TEST method in term of (LC50) 48 hr. mg/l and LC50 (48 hr) -Log10 (mol/L). In general about 15 compounds were identified. Most compounds were phenolic and carboxylic acids. The highest toxicity compounds were 1,2,3triethoxy-5-methyl benzene and 3,4,5trimethoxy phenol which is 0.9 and 1.09 mg/l respectively, while 2-phenyl ethanol and 4,4-dimethyl3-(3oxobutyl)cyclohex-2-enone with the smallest toxicity, 13.14 and 11.7 mg/l respectively.
Calculation on Coverage & connectivity of random deployed wireless sensor network factors using heterogeneous node

A wireless sensor network (WSN) is one of the common communication networks that have been used nowadays. The main idea of this paper is to solve the coverage problem in Wireless Sensor Network (WSN) by increasing sensor nodes coverage percentages [1]. To provide proper coverage of their random deployment regions, wireless sensor networks (WSN) should employ some smart nodes. This work is focus on employing some anchor nodes in WSN which can actively move to desired locations for repairing the broken networks. This paper is proposed to redeploy the anchor nodes according to the distance information for repairing the coverage connectivity after their initial random deployment. By the simulated experiment results that we will show that the WSN can improve the sensing coverage than the stationary WSN by redeploying anchor nodes [2].
Int. J. Biosci

The genetic diversity of Kongu Vellalar population of Salem District Tamil Nadu was studied using mt DNA and Ychromosomal biallelic SNP markers.In this study, 400 base pair of the HVR-1 region and selected coding regions of the mitochondrial DNA (mtDNA), and 8 Y chromosome SNPs were analyzed in 96 Kongu Vellalar caste population of Tamil Nadu, and compared the results with the available data from the Indian subcontinent. It was observed that all the individuals of Kongu Vellalar caste population were falling in macrohaplogroup M and N. Further, subhaplogrouping of “M” revealed that Kongu Vellalar caste population was falling in haplogroup M*, M35 and M5. On the other hand at the Y chromosome haplogroup level 29% of the studied Kongu Vellalar caste population falls in Indian specific haplogroup M82-H1a. Our study concluded that there might be an admixture of this population with the surrounding Austro-Asiatic populations. *Corresponding Author: V. G. Abilash  abilash.vg@vit.ac. in International Journal of Biosciences (IJB) ISSN: 2220-6655 (Print) 2222-5234 (Online) Vol. 2, No. 6, p. 72-81, 2012 http://www.innspub. net
Can Trade Liberalization Stimulate Economic Growth, New Evidence from Jordan?

Trade liberalisation and economic growth in less developed countries over the last 20 years has often been implemented with the expectation of growth being stimulated; yet the evidence on its growth enhancing effects is mixed. This study evaluates changes in economic growth that are likely to result from changes in trade policies, FDI, population and exports in Jordan. Using an application of the autoregressive distributed lag model (ARDL). Our result shows that FDI, trade policies, and exports have a various impact on economic growth in the case of Jordan. This suggests that it is possible to stimulate economic growth in Jordan through an outward-looking strategy of FDI expansion. More significantly, the results suggest the importance as well as the need for Jordan to embark on trade liberalization policies in order to improve economic growth in the current world economy. Keywords : Economic growth, Trade, FDI, Exports, ARDL model, Jordan.
Edge Detection in Images based on Approximation Theory

: Edges characterize boundaries and edge detection is one of the most difficult tasks in image processing hence it is a problem of fundamental importance in image processing. Several edge detection algorithms have been developed such as Prewitt, Sobel, LOG, etc. But, they are not able to produce ideal or optimized results. This paper presents an edge detection approach applicable to gray level images based on Approximation Theory. The performance of proposed method is compared against other methods such as Sobel and Prewitt edge detector by using various tested images. Experimental results reveal that the proposed method exhibits better performance and may efficiently be used for the detection of edges in image.
Channel Estimation of Comb & Block Type Codes

: MC-CDMA is mainly used for high speed wireless communication because it mitigates the problem of inter symbol interference and also increases the frequency Diversity. The work describe in this paper is my effort in this direction. MC-CDMA is a combination of Multicarrier transmission and CDMA. Multicarrier CDMA communication is a combination of the multicarrier modulation scheme and the CDMA concept. The basic idea to use multicarrier transmission in a CDMA system is to extends the symbol duration so that a frequency selective frequency channel divided into a no. of narrow band flat fading channels and the complex time domain equalization can therefore be replaced with a relatively simple frequency domain combining. In this paper we study the working of transmitter and receiver of MC-CDMA. In wireless communication system, we evaluated interference and bit error rate for multicarrier code division multiple access. In this research work my concern is find out the effect of interference in MC-CDMA system. We find out the effect of no. of user and signal power on different parameters for MC-CDMA system. In this paper, we compare the performance of comb and block type pilot channel estimation in term of BER and in result we find comb-type schemes outperform on block-type schemes, which is because the channel changes so fast that there are even changes for adjacent symbol. In this paper we describe the simulation of all work on MATLAB tool.
An Experimental Model of a Qualitative Decision Support System for Quality Assessment Support at Higher Education Institutions

Decision-support systems are essential technologies for addressing the numerous issues faced by decision-makers. These systems help decision-makers to obtain the necessary data and insight in a timely and precise fashion; particularly relevant to decisions that rely on quantitative information. Nonetheless, technologies for monitoring and arranging qualitative data could also be advantageous to decision-makers. The Institution of Literature has a vast array of e-texts and e-data, which means that physically assessing this data can be a lengthy process. Qualitative data plays an important role in decision making and as such it is important that this data is easy to comprehend and is well-organized. Creating a system that uses NLP and text mining methods to evaluate the data and help individuals make decisions is one of the main long-term objectives of this research. This system will ensure the standards of the data and comply with the Higher Education Institution's guidelines. This researchwill hopefully prove helpful to future decision-making systems. Such systems frequently need to identify and confirm data obtained from numerous places. Once evaluated, this data helps individuals at the Institution of Higher Education to make decisions.