Miracle-dz/UniFAR-FTUs huggingface dataset:
Video Scene Text Deblurring Using Text-Specific Multiscale Dictionaries: A Survey

—This paper is concerned with the study of scene text detection and recognition from blurry natural video scene i.e. blurred images extracted from video which is important for image related purposes. In digital imaging, it’s a challenging task to restore a clear image from a single motion-blurred image due to camera shake. E.g. includes image retrieval, comparative studies of different images, as well as the tool that aid visually impaired individuals to access the pictorial information. Particularly when we use handheld cameras to capture natural scene images, a general problem, i.e., blur, frequently happens. There are several techniques available for text detection and recognition. For representation of the text and non-text fields, a string of text-specific multi-scale dictionaries (TMD) and a natural scene dictionary is used separately. The TMD-based text field reconstruction makes easier to deal with the different scales of strings in a blurry image effectively. A lot of work has been done for detecting text in images and a lot has to be done. In this survey, we extend an existing end-to-end solution for text detection and recognition in natural images to video.
Immune response following the administration of the anabolic steroid Boldenone Undecylenate in rabbits

The present study was conducted to clarify the effect of the anabolic steroid boldenone undecylenate (BOL) on some immunological parameters in rabbits. The study was carried out on 60 apparently healthy New Zealand white male rabbits. Rabbits were divided into three groups each of 20 rabbits. The first group was injected with an adjuvant substance (sesame oil) and was considered as control (C). The second group was administered BOL at the recommended dose for rabbits (4.5mg/kg b.w) (group R). The third group was administered BOL at a dose double the recommended dose (9 mg/kg b.w) (group D). All treatments were given three times at three weeks interval. Blood samples were collected three times after the last drug injection at two weeks interval. Evaluated parameters included growth performance parameters [total weight gain (TWG), feed conversion rate (FCR) and feed efficiency (FE)], evaluation of cell-mediated immunity [total (TLC) and differential leukocytic counts (DLC), phagocytic activity of heterophils (PA) and phagocytic index (PI)], and evaluation of humoral immune response [antibody titers by hemagglutination inhibition test (HIT), serum levels of IgA and IgG, in addition serum protein electrophoretic fractionation profile]. The results showed that BOL injection into rabbits resulted in a significant increase in TWG and FE and a significant decrease in FCR particularly with the double dose of the drug. Monitoring the parameters of cell mediated response revealed a significant decrease in lymphocyte percentage, PA and PI. In regard to humoral immunity, the results demonstrated a significant decrease in serum antibody titers measured by HIT, gamma globulins as well as serum concentrations of both IgA and IgG. In most cases these alterations in the immune responses were more significant when the double dose of BOL was administered. This study concludes that administration of BOL to rabbits although, results in a significant improvement in growth rate, it compromises the immune response inhibiting both cell mediated and humoral immune reactions. Nevertheless, the results suggest that the severity of these immunological side effects is dose-dependent. [Nahed Saleh, Emad Waded. Immune response following the administration of the anabolic steroid Boldenone Undecylenate in rabbits. Stem Cell 2014;5(2):80-87] (ISSN 1545-4570). http://www.sciencepub. net/stem. 10
MLPG Method Based on Rankine Source Solution for Simulating Nonlinear Water Waves

Recently, the MLPG (Meshless Local Petrov-Galerkin Method) method has been successfully extended to simulating nonlinear water waves [Ma, (2005)]. In that paper, the author employed the Heaviside step function as the test function to formulate the weak form over local sub-domains, acquiring an expression in terms of pressure gradient. In this paper, the solution for Rankine sources is taken as the test function and the local weak form is expressed in term of pressure rather than pressure gradient. Apart from not including pressure gradient, velocity gradient is also eliminated from the weak form. In addition, a semi-analytical technique is developed to estimate the domain integral involved in this method, rendering it unnecessary to evaluate velocities at a quite large number of points. These features potentially make the numerical discretisation of the governing equations relatively easier and more efficient. The method is validated by simulating various water waves generated by a wavemaker and by motions of a tank. Good agreement of results with those from publications is achieved. keyword: Water waves; Meshless Local PetrovGalerkin method (MLPG); MLPG R; Free surface
The Effect of the Amplifier Length on the Gain and Noise Figure of the Er/Yb Co-Doped Waveguide Amplifiers

The variations of the amplifier waveguide length on the gain and noise figure of the phosphate glass Er3+-Yb3+-co-doped waveguide amplifiers (EYCDWA) are calculated from the rate equations and the light propagation equations under the uniform dopant and the steady-state condition. The gain increases as the amplifier waveguide length increases then decreases for further increase in the length and noise figure increases as the amplifier waveguide length increases then saturated for further increase in the length for our case of calculations. In our analysis, the pump power variations make improvement for the gain and noise with the amplifier waveguide length variations, also we have neglected the amplified spontaneous emission (ASE) and have introduced the initial energy transfer efficiency.
A fuzzy-logic based MPPT method for stand-alone wind turbine system

In this paper, a fuzzy-logic based maximum power point tracking (MPPT) method for a standalone wind turbine system is proposed. Hill climb searching (HCS) method is usedto achieve the MPPT of thepermanent magnet synchronous generator (PMSG) driven wind turbine system. Simulation results will show the effectiveness of the proposed method in various operating conditions.
Analysis of Performance Characteristics for Face Recognition Based on Multimodal Image Registration

: Whenever a periodic change of a particular scene or motion is to be recorded, determining the internal consistencies is a herculean task. Image registration is one of the principle methods in change analysis. Whenever the scene is captured using different sensing equipments, multi-modal image registration has to be performed. Measuring the similarities/dissimilarities provides upright findings with the changes occurring in the scene. Generally for biometric applications like palm and face detection image registration is not widely used. With increasing need for security and biometric applications, in this paper face based image registration is performed based on the conventional control point method and the structural method. Image registration has been generally done by utilizing the intensity, point and surface values. Structural features are extracted by utilizing the complex phase and gradient magnitude in this work rather than the conventional methods of registration. Comparison of the registered image through the structural method and the control point method is established. This has been performed using the MATLAB 2013a package.
A New Approach for Effective Image Retrieval of Different Medical Images

-Texture represents complex visual patterns having characteristics as brightness, color, slope, size, etc. The texture of an image can be considered as similarity grouping. Feature extraction in texture analysis is regarded as computation of characteristics of the image that can define the texture properties numerically. Texture may be of tamura, statistical, inverse difference, histogram gradients, etc. The spatial size of texture primitives describes the textual character of an image. The proposed method is tested for different possible cases like good medical image, single noisy medical image and noisy image with more noises. The quality parameters are calculated and compared for different methods.
A Novel Fuzzy Control Method for Power Quality Improvement in Convectional Power System

This paper proposes the implementation of the comparative analysis of the with conventional power system arrangement to the steady state and dynamic state of the a combined system of a Thyristor-controlled reactor (TCR) and a shunt hybrid power filter (SHPF), for the process of limiting the total harmonic reduction and concept of reactive power compensation is proposed in this paper. Total Circuit Configuration Is Simulated Using MATLAB 2012a And It Is Analyzed In Power Graphical User Interfacing Environment And The Total Harmonic Distortion Is Calculated By The Use Of The Fast Fourier Transformation Technique In POWERGUI,
Improved LDA by using Distributing Distances and Boundary Patterns

-One of the statistical methods of class discriminant is linear discriminant analysis. This method, by using statistical parameters, obtain a space which by using available discriminating information among class means does classification act . By using distributing Distances, extended analysis linear discriminant to its heteroscedastic state. At this state ,to make classes more separating of available separating information among covariance matrix classes including classes mean is using. In this article ,because of using new scattering matrices which are defined based on boundary and non-boundary patterns, classes overlapping in Spaces which obtains has been reduced . On the other hand ,using new scattering matrices brings about increasing classification rate so, the done experiments confirm improvement of classification rate.
Residential Customer Energy Behavioural Demand Information Provider using GSM Technology

: The main goal of this research is to discover the structure of home appliances usage patterns, hence providing more intelligence in smart metering systems by taking into account the usage of selected home appliances and the time of their usage. In particular, we present and apply a set of unsupervised machine learning techniques to reveal specific usage patterns observed at an individual household. The work delivers the solutions applicable in smart met ring systems that might: (1) contribute to higher energy awareness; (2) support accurate usage forecasting; and (3) provide the input for demand response systems in homes with timely energy saving recommendations for users. The results provided in this paper show that determining household characteristics from smart meter data is feasible and allows for quickly grasping general trends in data.
A REVIEW ON TRADITIONAL USES OF VIOLA CANESCENS

Viola canescens commonly known as Himalayan White Violet belongs to Violaceae family. It is found in the Himalayan regions of India, Bhutan, Nepal and Pakistan. It is a perennial herb which mostly prefers to grow in the shady and moist places. V. canescens is an important medicinal plant which is mostly used in the traditional medicinal system for cough, cold, flu, fever, and malaria and is also given as anticancerous drug. So far, violin (alkaloid), viola quercitrin, methyl salicylate, and saponins are the different phytochemicals which are extracted from this plant. Molecular studies on V. canescens suggest that, in case of adulteration in the powdered form of Viola species, they can be distinguishable by the lengths of their spacer regions. Because of the overexploitation of V. canescens for medicinal purposes, the conservational status of V. canescens in different regions became endangered. It is the need of the hour to utilize different conservational strategies and save this precious medicinal wealth from extinction. The medicinal importance of Viola canescens is importantly needed to be brought in notice of every concern man. therefor the present study has been focused on the review of literature on this plant.
Acquiring Evolving Semantic Relationships for WordNet to Enhance Information Retrieval

Lexical Knowledge base such as WordNet has been used as a valuable tool for measuring semantic similarity in various Information Retrieval (IR) applications. It is a domain independent lexical database. Since, the quality of semantic relationship in WordNet has not upgraded appropriately for the current usage in the modern IR. Building the WordNet from scratch is not an easy task for keeping updated with current terminology and concepts. Therefore, this paper undergoes a different perspective that automatically updates an existing lexical ontology uses knowledge resources such as the Wikipedia and the Web search engine. This methodology has established the recently evolving relations and also aligns the existing relations between concepts based on its usage over time. It consists of three main phases such as candidate article generation, lexical relationship extraction and generalization and WordNet alignment. In candidate article generation, disambiguation mapping disambiguates ambiguous links between WordNet concepts and Wikipedia articles and returns a set of word-article pairings. Lexical relationship extraction phase includes two algorithms, Lexical Relationship Retrieval (LRR) algorithm discovers the set of lexical patterns exists between concepts and sequential pattern grouping algorithm generalizes lexical patterns and computes corresponding weights based on its frequencies. Furthermore, Sequential Minimal Optimization (SMO) selects the suitable good pattern using the optimal combination of weight of lexical patterns and page count based concurrence measures. WordNet alignment phase establishes a new relationship that is not available in WordNet and also aligns the existing patterns based on computed weight. Experimental results illustrate that the proposed approach better than existing mechanisms on benchmark datasets and achieves a correlation value of 0.87. Moreover, the extended WordNet returns high accuracy results in query expansion.
A Generalized Modeling of a PV System using Matlab Simulation with MPPT for the Speed Control of a 3-Phase Induction Motor

the modeling and simulation of the induction motor in MATLAB 2011b. The photovoltaic (PV) array is used as a source which is taking the solar irradiation in the input, through which the induction motor is being operated. The PV array is modeled by connecting various solar cells in series and parallel combinations. The simulation of the PV array is done in the MATLAB 2011b software. The maximum power point tracking (MPPT) method is used to track the maximum possible power, and is modeled using the perturb and observe (P & O) algorithm. The modeling of the dc-dc buck converter is done to step-up the voltage to the desired level . To transform the dc voltage into the ac voltage an inverter is employed , which is getting the gate pulses from the pulse width modulation (PWM) generator. The PWM generator is generating the signals from the control strategy being used to convert the voltage from the two-axis reference frame to the threephase and vice-versa. The modeling and simulation of each part is performed individually.
QR CODE BASED VISUAL AUTHENTICATION PROTOCOL FOR PREVENTING KEY-LOGGING

The process of capturing keystrokes while a user is entering his credentials through a keyboard is called key-logging. A key-logger itself is not harmful to the data on disk however, Key-logging can result in exposing sensitive data such as account names, email passwords, social networking passwords, credit card pins, passwords to online services accounts which is all entered via keyboard. Key-logger rootkits secretly lie inside the computer and cannot be detected easily. To prevent key-logging very strict authentication is required which eliminates traditional means to enter the credentials by a keyboard. The protocol demonstrates how careful visualization techniques and strict security requirements completely prevent key-logging while keeping the usability close to legacy authentication methods
Priority Based Retrieval of Information with Documents Domain Division Approach

: Human beings “search” for accomplishing their objectives (desires) in all sorts of situations. The research is still continuing to gain more quality in searching in order to more easily acquire require data and information in all aspects. With most of the existing techniques, the irrelevant documents in searching process are also retrieved because of improper application of knowledge about corresponding domain to which the documents searching belongs. In this paper, an efficient method using which the documents submitted to the database will be divided into specific domain sis proposed. When the users searches for a particular domain or documents, the keywords used in the search used for the identification of domain, and the relevant documents are only retrieved on priority basis. The searched keywords along with association rules, decision trees, indexing techniques plays major role in building this new method. The documents which have more count value of keyword will be retrieved first and later documents in accordance with the descending order of count value of keywords present in them, which results in the retrieval of more related documents at the top.
By Taguchi Approach

Optimization is one of the techniques used in manufacturing sectors to arrive for the best manufacturing Conditions, which is an essential need for industries towards manufacturing of quality products at lower cost. This Paper aims to investigate the optimal set of process parameters such as speed, feed and depth of cut in turning process to identify the variations in two performance characteristics such as rate of material removal, and surface roughness value on the work material for machining EN31 using TNMG carbide insert. Based on the experiments conducted on L9 orthogonal array, analysis has been carried out using Grey Relational Analysis, a Taguchi method. Response tables and graphs were used to find the optimal levels of parameters in turning process. The confirmation experiments were carried out to validate the optimal results. Thus, the machining parameters for turning were optimized for achieving the combined objectives of higher rate of material removal, and lower surface roughness value on the work material considered in this work. The obtained results show that the Taguchi Grey relational Analysis is being effective technique to optimize the machining parameters for turning process.
Analysis of Energy Efficient Network Beamforming Design Using Power-Normalized SNR

: In this work, a novel efficiency measure is adopted for amplify-and-forward (AF) an relay network which is the received SNR per unit power. This efficiency measure is called as the power-normalized SNR (PN-SNR). We determine the PN-SNR maximization problems and investigate the network performance for several relay network scenarios with both SISO (Single Input Single Output) configuration and MIMO (Multiple Input Multiple Output) configuration. Initially, for single-relay networks with SISO configuration the PN-SNR for a given transmitter power is found using an optimal relay power control scheme that maximizes a PN-SNR. Then, for multi-relay networks for SISO configuration with a sum relay power constraint, we show that the PN-SNR optimization problem has a unique maximum, and thus using a gradient-ascent algorithm the globally optimal solution can be found. Then, for multi-relay networks for SISO configuration with an individual power constraint on each relay, we obtain a globally optimal solution for which an algorithm is proposed and also for a suboptimal solution we propose a low complexity algorithm. Finally, for single relay networks the comparisons of SISO and MIMO configurations is done and showed that for same transmitted power, PN-SNR is maximized and outage probability is minimized for MIMO configuration.
Reduction in prescription and administration errors on paediatric intensive care with “zero-tolerance prescription”

Prescription errors are frequent on intensive care units. The perception of prescribing as a low status task rather than an essential element of therapy, perceived time pressure and distractions may all be contributory factors. The authors altered practice on our tertiary paediatric intensive care unit in two stages: formal consultant review of prescription charts on daily ward rounds and requesting re-write for any errors was introduced with the aim of raising the status and visibility of prescription as a task. Subsequently, a dedicated prescription desk was provided and prescription elsewhere was not permitted. Staff were not permitted to interrupt a prescriber at this desk. The authors termed these combined interventions “zero-tolerance prescription” (ZTP) following a similar approach in Cardiff. The authors undertook an observational study of the impact of these on prescription error rates over 6 months in a tertiary paediatric intensive care unit. Methods Prescription and administration errors have been recorded prospectively on a daily basis by our ward pharmacist against 44 criteria. These include “clinical errors” (dosage, route of administration, frequency) and non-clinical errors (signature illegible, unapproved names or abbreviations etc). Total errors adjusted for ICU occupancy (errors per occupied PICU day) are presented for three periods: (A) baseline, (B) consultant checking prescription charts and (C) full ZTP. Comparisons are made between mean error rates with t-tests. Abstract G81 Figure 1 Results (A) Baseline mean error rate over 12 weeks was 1.8 errors per occupied PICU bed day (95% CI 1.5 to 2.1), (B) In the 20 weeks following formalised consultant checking of charts, this was reduced to 1.4, errors per occupied PICU bed day (1.1–1.6) (p=0.0035 vs A). (C) Following the introduction of the full ZTP, protocol error rate was 1.1 (0.8–1.3) (p=0.001 vs A, and p<0.05 vs B) over a 10-week period. This constitutes relative risk 0.59 for error. Infusion prescriptions errors were most improved A) 0.3 day (0.2–0.4) per occupied PICU bed vs C) 0.1 (0–0.2), p=0.02 (relative risk 0.45). Comment In this unblinded study, the ZTP package was associated with a significant and prolonged reduction in errors. The impact of these changes is likely to be highly influenced by local factors but merit consideration on PICU.
Centroids Initialization for K-Means Clustering using Improved Pillar Algorithm

: The K means clustering algorithm generates the initial centroids randomly which does not consider the placement of them spreading in the feature space. The performance of K means highly depends upon the correctness of the initial centroids which are chosen randomly that can be trapped in local minima and led to incorrect clustering results. In this paper we propose a new approach to optimize the initial centroids for K means which spreads them in the feature space uniformly so that the distance among them is as far as possible. Firstly grand mean of all data point is calculated and the accumulated distance metric between each data point and the grand mean is calculated. The data point which has maximum distance will be considered as first initial centroid. This approach also has a mechanism to avoid outlier data being chosen as initial centroids. We also reduce the complexity of our algorithm by excluding the designated initial centroids neighbors from next iterations. The experimental results show the improvement in the solution using the proposed system.