Miracle-dz/UniFAR-FTUs huggingface dataset:
A NOVEL APPROACH IN IMAGE WATERMARKING WITH A NOVEL APPROACH IN IMAGE WATERMARKING WITH DISCRETE WAVELET TRANSFORM DISCRETE WAVELET TRANSFORM

: In this paper we present a new watermarking scheme for still image data. Most of the recent work in watermarking can be grouped into two categories: spatial domain methods and frequency domain methods. We introduce a novel approach of watermarking which involves embedding the watermark in the discrete wavelet domain. We make use of a multi resolution data fusion approach in which the image and watermark are both transformed into the discrete wavelet domain. The resulting image pyramids are then fused according to a series of combination. After watermark insertion, inverse DWT is applied to the sub-bands with modified coefficients to obtain the watermarked image. For watermark extraction, a threshold-based decoder is designed. Embedding and extraction process are characterized with parameters and genetic algorithm is used for parameter optimization. Optimization is to maximize the values of peak signal-to-noise ratio of the watermarked image and normalized cross correlation of the extracted watermark. The performance of the proposed scheme is compared with the existing schemes and significant improvement is observed.
Excluded Volumes of Anisotropic Convex Particles in Heterogeneous Media: Theoretical and Numerical Studies

Understanding the excluded volume of anisotropic particle is of great importance in the evaluation of continuum percolation and random packing behaviors of soft/hard particle systems in heterogeneous disordered media. In this work, we obtain the excluded volumes of several anisotropic convex particles including prolate spheroids, oblate spheroids, spherocylinders, and Platonic particles, using theoretical and numerical approaches. According to the second virial coefficient, we first present a theoretical scheme for determining the excluded volumes of anisotropic particles. Also, the mean tangent diameters of anisotropic convex particles are formulated by the quantitative stereology. Subsequently, Monte Carlo simulations are demonstrated to numerically evaluate the excluded volumes. The theoretical results of the dimensionless excluded volume are thereafter compared with that of the numerical results to verify the validity of the theoretical scheme. We further investigate the dependence of the dimensionless excluded volume on the geometric characteristics of anisotropic particles based on the proposed theoretical and numerical schemes. Results show that the dimensionless excluded volume mainly relies on the shape and surface information of anisotropic particles. The developed theoretical and numerical schemes can provide theoretical insights into the percolation threshold and packing density of soft/hard anisotropic particle systems in heterogeneous materials, physics, and chemistry fields.
A Multi-Level PWM Inverter Employing Series-Connected Capacitors Paralleled to a Single Voltage Source for Renewable Energy Systems

A PWM seven-level inverter with an effective circuit configuration for grid-connected photovoltaic systems, that can increase the number of output voltage levels with a reduced number of circuit components. The proposed seven -level PWM inverter consists of a single voltage source with a series of capacitors, diodes and active switches for synthesizing output voltage levels, and an Hbridge cell. After theoretical analysis, the simulat ion is done using MATLAB Simulink to verify the proposed approach. Also, here a modified switching s trategy is introduced to solve the capacitor voltage unbalancing that occurs in series -connected capacitors. This configuration is suitable for low and medium power applicat ions.
INVESTIGATING THE MAIN IMPLEMENTATION FACTORS OF M-COMMERCE: (A CASE STUDY IN TEJARAT BANK, IRAN)

Nowadays, M-Commerce influences on organizational and social activities cause to change the nature of performance styles. This research explores how organizations are influenced to adopt the M-commerce. The research employed the Technology Acceptance Model (TAM) to examine factors affecting organization attitudes toward this emerging mobile technology and applications. In present research the sample size consisted of 79 employees that were selected at random from 42 branches of employees from Tejarat Bank in Tabriz-Iran in2012. Data analyses were carried out by using Factor Analysis, Structural Equation and Freidman Mean Ranking Test. The results of present study illustrated that there was a significant relationship between factors together, and also considering the Ranking Analyses it can be said that the Compatibility of performance factors is more important factor than others for improving M-Commerce in studied place.
Face Recognition Based on Principal Component Analysis and Linear Discriminant Analysis

: This paper presents the two novel face detection techniques which are based on the singular vector decomposition (SVD) and Eigen value decomposition (EVD). Here, Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) methods are applied to detect the features of faces which act as the principle component for the face recognition problem. The human face is full of information but working with all the information is time consuming and less efficient. It is better get unique and important information and discards other useless information in order to make system efficient. Principal component analysis is applied to find the aspects of face which are important for identification. Eigenvectors and eigen faces are calculated from the initial face image set. New faces are projected onto the space expanded by eigen faces and represented by weighted sum of the eigen faces. These weights are used to identify the faces. To reduce the time complexity and Euclidean distance in face space, here two techniques Singular Value Decomposition and Eigen-value decomposition are utilized. Simulation results have been presented to illustrates the effectiveness of the proposed face detection techniques. Here, face detection is performed using Principal Component Analysis and Linear Discriminant Analysis methods with Singular Value and Eigen-value decomposition. Experiments on face database shows the effectiveness of our proposed algorithm and results compared to PCA using Eigen Value Decomposition(EVD) shows that the proposed scheme gives comparatively better results than previous methods in terms of reduced time complexity without effecting its accuracy. Based on the results presented it is concluded that the Principal Component Analysis using EVD leads to superior results compared to that of other reported methods. From the result it is also noticed that the time complexity of the proposed method reduces considerable which leads to real time applicability of the proposed method.
Survey on Hardware Based Advanced Technique for Cache Optimization for RISC Based System Architecture

— This paper initially has a thorough discussion about cache and various mapping technique. Then we shift our focus on cache optimizations and discuss the motivation for doing this on the same, followed by the different optimization techniques. Further to avoid various categories of cache misses we discuss different types of cache technique to achieve higher performance [1]. Lastly we discuss few open and challenging issues faced in various cache optimization techniques.
Design of 4-bit Flash Analog to Digital Converter using CMOS Comparator in Tanner Tool

—This paper proposes a 4-bit, 1.8V, Flash ADC (Analog to Digital Converter) design using CMOS Comparator with 180nm technology. The conventional comparators have been replaced with the CMOS inverter based comparator designs. The PSRR (Power Supply Rejection Ratio) results obtained are improved with the use of CMOS comparator and by systematically sizing the transistors of the comparators. Thus it has been observed that it consumes 0.46827mW of average power.
A Survey on Trust in Cloud Computing

-Cloud computing has become the burning research topic in the present as it seems to fulfill the current business needs by making the resources of hardware, software, platform and infrastructure available to the consumers as per their requirement and demands whenever and wherever they want. This leads to a lot of implementation challenges that come across, of which the most eminent are trust and security. This paper tries to find out the trust elements which could promote the use of cloud computing among users at large. An attempt is being made to find out the existing trust models and their drawbacks so as to lead to new trust models in the near future to bring more confidence in the use of cloud computing.
Performance Analysis of a Low Power Low Noise 4 – 13 GHz Ultra Wideband LNA

A low power low noise ultra wideband LNA of 4 -13GHz is presented. It employs a series LC sections for input impedance matching, current reuse and noise cancellation technique to reduce the power consumption and noise. The designed LNA is implemented in standard 180nm CMOS technology using ADS tool. The designed LNA has a transfer gain of 21dB and noise figure of less than 3dB over the range of 4 -13 GHz band of frequencies with a power consumption of 18mW. It exhibits an input reflection co-efficient (S11) of less than -14dB within the entire band of frequencies and its IIP3 is -6dBm at 3GHz. Low power, low noise with high gain over the wide band of 4 – 13 GHz make it suitable for wide band RF front end.
ASSESSMENT OF CYSTATIN C AS EARLY BIOMARKER FOR DIABETIC NEPHROPATHY IN SUDANESE WITH TYPE II DIABETES

The Diabetes number of people with diabetes is increasing due to population growth, aging, urbanization and the increasing prevalence of obesity and physical inactivity, According to the World Health Organization (WHO), the prevalence of diabetes for all age groups worldwide was estimated to be 2.8% in 2000 and 4.4% in 2030 (Wild et al., 2004). In patients with type 2 diabetes screening for diabetic nephropathy must be initiated at the time of diagnosis, since >7% of them already have micro albuminuria at initial presentation (Adler et al kidney disease (DKD) is one of the most prevalent chronic complications of diabetes and the most common single cause of end-stage renal failure (National Kidney Foundation Chronic kidney disease (CKD) is defined by having more than 3 months of decreased GFR or evidence of kidney damage (Kidney Disease: Improving Global Outcomes (KDIGO) 2013). GFR cannot be measured directly; it can be assessed by clearance measurements or estimated from serum leve endogenous filtration markers, such as creatinine or cystatin C (Stevens et al., 2006; Levey et al., 2014). SCr has been used as a cost-effective and practical marker of kidney function for decades, despite severe limitations due to both biological a
Effects of Feeding Rapeseed Meal on the Phosphatase Enzymes of Japanese Quail Liver

A detailed study was undertaken in order to determine the safe dose of mustard seed meal in the diet for Japanese quails which can be used at the production level without having deleterious effects on the growth of this bird. For this purpose, 1500 birds were fed different levels of mustard seed meal in isocaloric and isonitrogenous diets. The results of feeding of these diets for 30 days show that there are no toxic effects on the growth of birds but concentrations of both enzymes (Alkaline phosphatase and Acid phosphatase of liver) decreased in the first 10 days of age, more markedly for alkaline phosphatase. Than enzymes started increasing and after 22 days, their behavior differed again. Biochemical studies were performed on the liver show that at 30 days age the activity of the acid phosphatase decreased but the activity of alkaline phosphatase did not,
A Hybrid Approach with Combination of Clustering Algorithm

--Data Mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. Data Mining is a field of search and researches of data. Mining the data means fetching out a piece of data from a huge data block. The basic work in the data mining can be categorized in two subsequent ways. One is called classification and the other is called clustering. In the presented research work, our aim is to find out an algorithm which is better as comparison with another algorithm by analyzing their performance.There are various algorithm of clustering from which we take main algorithm is k – mean with the combination of c – mean algorithm. There is a problem with k – mean that it does not show membership function with the clusters but in this paper we implement that by using c-mean algorithm with k –mean we get a graph which represent membership function between clusters.
CCA-VW-FPTPM: Concept change aware dynamic variable window based Frequent Positive Transition Pattern Mining over data streams

: Considering the continuity of a data stream, the accessed windows information of a data stream may no longer useful as a concept change is effected on further data. In order to support frequent item mining over data stream, the interesting recent concept change of a data stream needs to be identified flexibly. Based on this, an algorithm can be able to identify the range of the further window. A method for finding frequent itemsets over a data stream based on a sliding window has been proposed here, which finds the interesting further range of frequent positive transition patterns by the concept changes observed in recent windows. The Patterns of Positive Transitions denote the vibrant nature of the frequent patterns in the database. The considerable high points for the transaction database are the timestamps also called as time durations. They are the points that have the alteration in the recurrence of the prototypes.
MAST CELL STABILIZING POTENTIAL OF THE ETHANOLIC EXTRACT OF TEPHROSIA PURPUREA (LINN.) IN THE MANAGEMENT OF ASTHMA

The present study was carried out to evaluate mast cell stabilizing potential of the ethanolic extract of Tephrosia purpurea (Linn.) in the management of asthma using experimental animal models. Ethanolic extract of aerial parts of Tephrosia purpurea (L.) (EETP) was prepared and mast cell stabilizing potential evaluated against compound 48/80 and clonidine induced mast cell degranulation in adult wistar albino rats. The result of present study revealed that, compound 48/80 and clonidine treatment produced 75.83% and 73.67% of mast cell degranulation respectively. EETP at a concentration of 250, 500, and 750 μg/ml showed dose-dependent significant reduction in mast cell degranulation (P < 0.01) as compared to the compound 48/80 and clonidine-treated animals. However, its effect was less than the dexamethasone and disodium cromoglycate, potent mast cell stabilizers. To conclude, the EETP possesses good mast cell stabilizing properties and therefore can be a candidate for the antiasthmatic treatment. Future research should focus on the molecular mechanism of responsible constituent for mast cell stabilizing potential.
Advanced Compilation Techniques for Data Distribution and Chip Multiprocessor

— The limiting factor in the performance of chip multiprocessors is data access latency. Data access latency increases significantly as the number of cores in non uniform architecture are increased. To moderate this effect, we use a compiler-based approach to leverage data access locality. Multithreaded memory access patterns (MMAPs) are resolved and used by a partitioning algorithm to choose a partition of allocated memory blocks among the forked threads in the analyzed application. This partition is used to impose data ownership by associating the data with the core that executes the thread owning the data. Based on the partition, the communication pattern of the application can be extracted. We show how this data can be used in an experimental architecture to speedup applications. Compiler assisted data partitioning method shows a 20 percent speedup over shared caching and 5 percent speedup over the closest runtime approximation. By using a communication pattern, a comparable performance is achieved compared to a system that uses only compiler generated partition and uses a complex centralized network configuration system at runtime.
Sketchai: using FCNS to Extract Line ART Drawings

The digital revolution has improved every field of human lives. And field of ART is no exception. The rapid development of modern technology and techniques has made an impact on the work of painters, sketch artists and even comic book writers. One would be hard pressed to find artists in this day and age who haven’t heard of modern tools and applications such as Adobe Photoshop, GIMP, etc. But though these applications have undoubtedly made the lives of artists better, the use of AI for art is still at a nascent stage. The current work aims at developing a web-based application called SketchAI which uses Artificial Intelligence to simplify rough sketches or art work and extract the simplified line drawing. Fully Convolution Networks or FCNs are used to automate the task of sketch simplification. Dataset of rough sketches and corresponding line art drawings are used to train the system to extract line art. Different parameters such as number of epochs, loss functions etc. are considered for experimentation along with different subsets and augmentations of the data. Finally, comparisons of different methods are done to integrate deep learning models with a web application.
Database Partitioning Using Frequent Item Set for Getting Optimal Solution

: We present an idea integrating frequent pattern clustering for ﬁnding an finest database partition. First, the Apriori algorithm is used to find out weighted frequent patterns related to a operation proﬁle. Depending on the weighted frequent patterns, we build up two techniques designed for division of database: the candidate method and the optimal method. The finest technique contain a branch-and-bound algorithm and costs in each step of combining attributes can be taken into account until an optimal solution is obtained. Furthermore, we reﬁned the optimal method for expediting the execution by minimizing the exploration space. Finally, results show that the given method performs the highest among all previous methods.
A Review of Quantifying Contradiction Intensity Techniques in Sentiment Analysis

—With Social Media becoming the acceptable platform to express emotions and opinions, Sentiment Analysis is trending field for research in area of information retrieval. Among various research issues of sentiment analysis, Contradiction intensity measure is being looked upon with great enthusiasm. This paper puts light on various techniques to measure the contradiction intensity in the field of Sentiment analysis, the problems related to it and various approaches used by researchers.
Evaluation of sugarcane (Saccharum officinarum L.) different genotypes to the uptake and transport of ionic in salt stress conditions.

Sugarcane, as an important sugar crop, is planted in the tropical and subtropical countries most of which are facing the problem of soil or water salinity. This study was conducted to evaluate the ionic elements uptake and transport of sugarcane genotypes in salt stress conditions in south west Iran Sugarcane Research and Training Institute in hydroponic greenhouses. A factorial experiment within a completely randomized design (RCD) at three replications under greenhouse controlled conditions and hydroponics. The treatments included 9 sugarcane genotypes and salinity 4 levels (0, 3, 6 and 9 ds.m). The results of the experiment showed that salinity decreased the concentration of potassium, calcium, and also increased the concentration of sodium and chlorine in root and shoot which ultimately led to reduced plant biomass, especially in more sensitive cultivars. Besides this, the results showed that the root had an effective role in control, uptake, and transport of ions to the shoot. It was indicated that most of the aerial transport of sodium and chlorine was observed in salt treated cultivar IRC99-06 at 9 ds.m, while the lowest transfer of Na + and Cl treated 0 ds.m was observed in clone C4. So, it seems that in addition to the fundamental importance of the control of ion uptake mechanisms, there are mechanisms in other organs effecting absorption and transport of these elements as well as genotype.
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Hypoglycemic and antidiabetic activity of hydroalcoholic extract of Madhuhari churna was evaluated in alloxan induced diabetic rats. Effect on normal blood glucose level (hypoglycemic), Oral glucose tolerance test (OGTT), hyperglycemia (antidiabetic) and glycogen level in liver was evaluated. Hydroalcoholic extract was administered orally at two dose levels 200 mg/kg and 400 mg/kg body weight, for consecutive 10 days in diabetic rats, and glibenclamide was kept as standard. Blood glucose (BG) and OGTT in normal healthy rats produced significant fall in BG and improved glucose tolerance. The present study concludes that the Madhuhari churna is effective in reducing the blood glucose level of diabetic animals. The extract did not exhibit a dose dependent effect.
A NOVEL FREQUENCY RECONFIGURABLE SLOT ANTENNA

A novel frequency reconfigurable slot antenna is designed for cognitive radio system. In cognitive radio system the two antennas are required one is a wideband antenna and another is frequency reconfigurable antenna. In this work a frequency reconfigurable slot antenna is designed between the switchable frequency range i.e 7.347. 96 GHz at eight different frequency band and capable to operate single frequency at a time. The proposed antenna has a microstrip patch and a slot etched out in a ground plane. To achieve frequency agility, the effective length of the slot is altered by use of three p-i-n diodes which are placed within the slot at predetermined positions. Results such as return losses, gain, bandwidth and radiation patterns are presented in this paper.
Sarawakian and Sabahan Blood Group Pattern Analysis In ASIA Metropolitan University, Malaysia- A Cross Sectional Study

Very few ABO blood group and rhesus based research has been done in Malaysia. From the literature survey, literature about sarawakian and sabahan ethnics blood group pattern was not present and may be this research was the first conducted in Malaysia focusing individually on sarawakian and sabahan ethnics living in East Malaysia. In this research 600 participants were included with 300 were sarawakian students ( 150 males and 150 females) and another 300 were sabahan students ( 150 males and 150 females). A 1.0-2.0 ml sample of blood was drawn from the antecubital vein of each subject in a disposable syringe, and transferred immediately to a tube containing ethylene diamine tetra acetic acid (EDTA). Blood grouping (ABO) and Rhesus factors (Rh), was done by the antigen antibody agglutination test. The anti sera used were obtained from Plasmatec Laboratory, Great Britain. From this research can be concluded that among both sarawakians and sabahans blood group systems, both were revealing the same scenarios where blood group O> B> A> AB and in rhesus system rhesus positive > rhesus negative.