Miracle-dz/UniFAR-FTUs huggingface dataset:
Cancelable Template Generation Based On Imrpoved Quality Fingerrint Image For Person Authentication

Biometric based authentication system provides robust security and ease of use than conventional methods of verification system. Among various biometrics namely iris, face and gait recognition, Fingerprint recognition has been extensively used by several organizations for recognition and authentication purpose because of its low cost, usability and reliable performance. However, the performance of fingerprint identification techniques are extensively depends on the quality of the input fingerprint images. Due to the context of the image-acquisition process, most of the fingerprint images are found to be low or lack in quality. By concerning privacy issues, these types of low-quality fingerprint templates are easily accessible by intruders, thereby lacks the security. To address this issue, the present work proposes quality enhanced, secured biometric template which simultaneously combines the quality enhancement and cancellable template generation techniques for robust authentication purpose. The fingerprint quality can be improved by means of two-phase enhancement technique, learns the acquired input image by enhancing spatial and frequency domain of image respectively. After that, the cancellable fingerprint templates are generated by means of transforming the quality enhanced fingerprint minutiae distortedly by using Distortion Transformation. Experimental results show that the proposed algorithm efficiently holds various input image contexts and attains improved results in terms of quality and security when compared with some state-of-the-art methods, and thus improves the fingerprint-authentication systems performance.
A Control Architecture and Performance Analysis of a Grid Integrated Photovoltaic System

For an utility-scale photovoltaic (PV) systems, the control objectives, such as maximum power point tracking, synchronization with grid, current control, and harmonic reduction in output current, are comprehended in single stage for high efficiency and simple power converter topology. Globally Grid Connected PV based system, the inverter is a critical component responsible for the control of electricity flow between the dc source, and loads or grid. This paper proposes a control architecture for a threephase, photovoltaic (PV) system that is connected to a distribution network. The control is based on a currentregulating technique and a dc-link voltage regulator with a modified control strategy, which includes compensation for grid voltage dip and reactive power injection capability. The real and reactive powers are controlled by using dq components of the grid current. The current-control technique decouples the PV system dynamics from those of the network and the load deviations. The dc-link voltagecontrol scheme enables control and maximization of the real power output. A feed forward compensation mechanism is proposed for the dc-link voltage-control loop, to make the PV system dynamics immune to the PV array nonlinear characteristic. Simulation results of the PV system during system disturbances and fast solar irradiation changes authorize that the proposed control algorithm for PV inverters can provide appropriate real power services and ensure PV DC voltage stability during dynamic system operation and atmospheric conditions. IndexTerm— photovoltaic (PV),voltage-source converter (VSC) Renewable energy sources (RES), Maximum power point tracking(MPPT), Point of Common Coupling (PCC), phase-locked loop (PLL), proportional-integral-derivative (PID), Phase Look Loop (PLL)
Vector Median Filters: A Survey

In this paper, a comprehensive survey on vector median filters to remove the adverse effect due to impulse noise from color images is presented. Color images are nonstationary vectored value signals. Hence, nonlinear filters such as vector median filters are more effective than linear filters. A number of nonlinear filters are proposed in the literature. They have been categorized into 12 groups and discussed in details.
NOISE REDUCTION ALGORITHMS FOR BETTER SPEECH UNDERSTANDING IN COCHLEAR IMPLANTATION- A SURVEY

Cochlear Implant (CI) is an electronic device which provides a sense of sound to a person who is deaf by birth or severely hard of hearing. Improvement in speech understanding in noisy environment is a major challenge in cochlear implant. Various noise reduction algorithms have been designed in cochlear implant for better understanding in noisy environment. Starting from Two microphone adaptive beamformer method, SDW-MWF, SPMWF, EVD based filter and GEVD based approximation of the filters are discussed here. Survey regarding the various algorithms for noise reduction and better speech understanding performance in cochlear implants are studied and analysed. KeywordsNR algorithms, SDW-MWF, EVD, SP-MWF, and GEVD based NR filters
Dinotefuran and Piperonyl Butoxide Mixture for The Extermination and Prevention of Ctenocephalides Canis and Ctenocephalides Felis Felis In Dogs And Cats

Ctenocephalides canis and Ctenocephalides felis felis are insects which are among the most common ectoparasites of common household dogs and cats. Flea killers have been developed for decades to counter this worldwide pest. It is a never-ending battle because of the continuous genetic resistance presented by the pest. In the present study, we applied a mixture of the pesticide Dinotefuran (26% w/v) and the synergist Piperonyl butoxide (6% w/v) to dogs (Solpreme Dogtrade and cats (Solpreme Cattrade) infested with the fleas via ldquoSpot onrdquo method. The treatment exterminated all of the fleas within 3 days (100%, plt 0.001). Re-infestation after 10 days caused an increase in the number of fleas, yet most of the effect lasted for at least 30 days. Further tests showed that the treatment is safe, water resistant, and has a long shelf life. The development of this novel mixture of substances provides an effective, safe means in the struggle with the continuous development of resistance to pesticides among major skin parasites.
Fenvalerate-induced Oxidative Stress in Erythrocytes and the Protective Role of Quercetin

This study was designed to investigate the ameliorative effect of Quercetin on Fenvalerateinduced biochemical alterations in human erythrocytes invitro. Erythrocytes are useful model to study the interaction of pesticides with biological membranes. Pesticides are thought to exert damaging effect on biomembranes through free radical generation; therefore antioxidants can play a crucial role in offering protection against pesticide induced oxidative damage. Quercetin is a potential antioxidant, known to be able to protect cells against oxidative damage. The biochemical parameters chosen to evaluate the effect of Quercetin were lipid peroxidation (LPO), selected antioxidant and membrane bound enzymes in erythrocytes. No statistical differences were found in the Quercetin treated groups compared with the control group. Following in vitro exposure, Fenvalerate caused a significant induction of oxidative damage in erythrocytes as evidenced by increased levels of thiobarbituric acid reactive substances (TBARS), and decreased levels of GSH. The activities of superoxide dismutase (SOD), catalase (CAT), Glutathione peroxidase (GPx) were found to be significantly reduced in Fenvalerate treated erythrocytes compared with the control erythrocytes. However, Quercetin pretreatment significantly prevented the decrease in the activities of antioxidant enzymes and membrane bound ATPases. The beneficial effects of Quercetin observed here presumably reflect the ability of this flavonoid to protect cells from the toxic effects of Fenvalerate.
Effects of arbuscular mycorrhizal fungi on wheat growth, physiology, nutrition and cadmium uptake under increasing cadmium stress - IJAAR

A pot culture experiment was carried out to study the alterations in growth, biochemical activities and cadmium (Cd) uptake by wheat (Triticum aestivum) inoculated with or without arbuscular mycorrhizal (AM) fungi in sterilized soil with addition of different Cd levels (0, 100, 300, 600 mg.kg_1). In Mycorrhizal (M) plants, root colonization rates were significantly lower with the addition of high Cd concentration (600 mg.kg_1). AM inoculation increased shoot and root biomass at 100 mg kg_1 Cd addition but cause a reduction at 300 and 600mg.kg-1. Shoot and root Cd concentrations in mycorrhizal (M) plants were lower at all levels (0, 100, 300 and 600 mg.kg-1) and Cd accumulation and uptake efficiency were lower in M plants. AM inoculation improved shoot and root P nutrition at all Cd levels. In addition, mycorrhization also cause to improved shoot nutrients uptake (N, P, K, Ca, Mg, Na), chlorophyll, carotene, protein and sugar contents as compared to NM plants. Cd toxicity induced proline accumulation and significant reduction of antioxidant enzyme activities (SOD, POD, CAT, APX) were observed in NM plants however proline contents were lower in M except the higher Cd concentration (600 mg.kg-1). The results support the view that AMF can improve the capability of reactive oxygen species (ROS) and reduce Cd concentration in plants to protect wheat (Triticum aestivum L.) from Cd stress. Hence, AM fungi in combination with wheat is suitable for reduction of Cd toxicity and also shows a potential role in phytostabilization of soil moderately polluted with Cd. * Corresponding Author: Sadia Kanwal  skkanwal7@gmail.com International Journal of Agronomy and Agricultural Research (IJAAR) ISSN: 2223-7054 (Print) 2225-3610 (Online) http://www.innspub. net Vol. 7, No. 5, p. 30-42, 2015 International Journal of Agronomy and Agricultural Research (IJAAR) ISSN: 2223-7054 (Print) 2225-3610 (Online) http://www.innspub. net Vol. 5, No. 1, p. 14-22, 2014
The Influence Of Competence, Work Participation, And Job Satisfaction Of Lecturers Toward Work Productivity

This research is a quantitative study with a survey method. The study population was all lecturers in the Islamic High School in three Islamic college at STAI SMQ Bangko, STAI Ma'arif Kota Jambi, and STAI An Nadwah. The sample of this study was 94 people taken using total sampling techniques. Likert scale questionnaire was used as an instrument. Data were analysed by path analysis (path analysis) beginning with analysis prerequisite tests which include normality tests through the chi square formula, homogeneity tests through the Bartlett test, and linearity and significance tests of regression. The analysis shows that there are: 1) The direct effect of lecturer competence on lecturer work productivity with a path coefficient of 0.44; 2) The direct effect of work participation on the work productivity of lecturers with a path coefficient of 0.47; 3) Competence of lecturers and work participation simultaneously affect lecturer work productivity by 0.89; 4) The direct effect of lecturer competence on job satisfaction with a path coefficient of 0.44; 5) The direct effect of work participation on job satisfaction with a path coefficient of 0.47; 6) lecturer competence and work participation simultaneously affect job satisfaction by 0.57; 7) The direct effect of job satisfaction on lecturer work productivity with a path coefficient of 0.76; 8) Lecturer competence, work participation, and job satisfaction simultaneously influence lecturer work productivity by 0.94; 9) The indirect effect of lecturer competence on lecturer work productivity through job satisfaction is 0.11; 10) The indirect effect of work participation on the work productivity of lecturers through job satisfaction is 0.12. The conclusion of this study is the lecturer competence, work participation, and job satisfaction affect the work productivity of lecturers. The implication is increasing lecturer competence, with maximum work participation and high job satisfaction, the higher the work productivity of lecturers.
Influence of Age, Sex and Breed Lines of Zebu Nellore Cattle on the Erythrocytes Osmotic Fragility, raised in São Paulo, Brazil

The average standard values of erythrocytes osmotic fragility (EOF) were established to zebu cattle of Nellore, raised in State of São Paulo , by analyzing the influence of age, sex and breed lines (Standard Nelore, Lemgruber Nellore, Mocho Nellore and Kuleia Nellore). For this purpose, 230 samples of blood from healthy animals free from Leucosis, Brucellosis, and blood parasites, were collected and submitted to standard hematological techniques and the EOF test. Blood samples obtained from calves up to three months showed the lesser fragility to hypotonic saline (50% of hemolysis= 0,43±0,03g/dL NaCl). Groups older than three months to over 72 months (50%= 0,58±0,03 to 0,48±0,02 g/dL NaCl) showed EOF decrease. The EOF was statistically different between the varieties Mocho (50%=0,54±0,05 g/dL NaCl) and Kuleia (50%=0,48±0,06g/dL NaCl). Sex had no influence. The average standard values of the EOF in 50% of hemolysis to Zebu Nellore cattle were 0,51±0,04g/dL NaCl.
INTERPRETING TAMIL TEXT by USING MOBILE PHONE CAMERA

-- Interpreting Tamil Text from Signboard is a well-known image processing technology. This Process consists of four steps: capture the image from mobile Phone camera, pre-processing, Text Area detection, Tamil Text extraction, character segmentation and character recognition. Signboard plates are available in various styles and colors in various Places. Every State has its own National Language Text. Each LPR system use different combination of algorithms. The information which is present in the signboard image can be detected by using the mobile phone camera. Once the Tamil Text is detected it will be converted into whatever the form which is understandable by the non native user.
Application of Image Fusion Techniques on Medical Images

Image fusion finds numerous applications in remote sensing, satellite imaging, medical imaging etc. In medical science, in order to diagnose a disease, it is required that the image obtained from a particular modality should be highly informative and should have high accuracy and also it should have high spatial as well as high spectral resolution. However, most of the available modalities alone are not capable of doing it convincingly. To solve this problem, a technique called image fusion has been evolved, in which two or more images are fused together to make a new image. In medical image fusion two or more images obtained from different modalities are fused together to give us a desired image. Selection of fusion rule should be such that it must provide us all the relevant information and at the same time does not introduce any undesired features to the resulting image. In this paper we have proposed a method for fusing CT (Computed Tomography) and MRI (Medical Resonance Imaging) images based on second generation curvelet transform. Proposed method is compared with the results obtained after applying the other methods based on Discrete Wavelet Transform (DWT), Principal Component Analysis (PCA), and Discrete Cosine Transform (DCT). Entropy, Standard Deviation, Peak Signal to Noise Ratio (PSNR), Percentage Fit Error (PFE) and Spatial Frequency (SF) are used as performance metric evaluators.
A Review on Serial Communication by UART

: In parallel communication the cost as well as complexity of the system increases due to simultaneous transmission of data bits on multiple wires. Serial communication alleviates this drawback and emerges as effective candidate in many applications for long distance communication as it reduces the signal distortion because of its simple structure. Universal Asynchronous Receiver Transmitter (UART) is a kind of serial communication protocol. This paper presents implementation of UART with different methods. Different techniques which were using with UART are discussed for reliable data transmission. The proposed work suggests application Design using UART.
A Image Comparative Study using DCT, Fast Fourier, Wavelet Transforms and Huffman Algorithm

— Image compression is now very important for applications such as transmission and storing data bases. In this paper we review and discuss about the image compression, need of compression, its principles, and various algorithm of image compression. This paper attempts to give a recipe for selecting one of the popular image compression algorithms based on Wavelet, JPEG/DCT, fourier, and huffman approaches. We review and discuss the advantages and disadvantages of these algorithms for compressing true color images, given an experimental comparison on commonly used image of wpeppers.jpg.
Blinking to a New Era of Environmental Interaction Project-Bitrac

This paper introduces an innovative solution for a person to interact with his surroundings with the power of blink. We utilize various modern algorithms and models like Inception v3, a pre-trained Deep Neural Network model for image classification [5], and facial landmark detection algorithm of Kazemi and Sullivan (2014) trained using various datasets like the IBUG dataset to efficiently capture an activation signal in the form of a blink and thereby capture the image of the object to be interacted with. This is achieved using two micro cameras, one on a watch and one hooked to the user. The image is then processed, and the appliance is thereby switched on with an IR signal. A disabled person can deeply interact with all the appliances with the help of a few blink patterns.
Map in­ter­pr­etin­g skills – a classr­o­o­M ex­per­iMen­t with an­d witho­ut ict aMo­n­g lo­wer­ seco­n­dar­y scho­o­l pupils in­ n­o­r­way

Abst­r­act­ This stu­dy fo­cu­ses o­n 8 th - 9 th gra­de pu­pils’ skills in interpreting bio­lo­gica­l ma­p info­rma­tio­n. The tea­ching wa­s do­ne a­s a­ pro­ject-ba­sed cro­ss-su­bject wo­rk, a­iming to­ test ma­p interpreting skills thro­u­gh pre-a­nd po­st tests. Da­ta­ wa­s co­llected fro­m 100 pu­pils co­ming fro­m o­ne lo­wer seco­nda­ry scho­o­l in a­ ru­ra­l a­rea­ in Mid-No­rwa­y. The pu­pils were divided into­ two­ test gro­u­ps, a­ “GPS-gro­u­p/digita­l ma­p gro­u­p” a­nd a­ “Co­mpa­ss/pa­per ma­p gro­u­p”. Tea­ching wa­s ca­rried o­u­t in the fra­mewo­rk o­f so­cio­cu­ltu­ra­l theo­ry, pu­pils wo­rked in pa­ir-gro­u­ps, a­nd the lea­rning wa­s seen a­s a­ so­cia­l a­u­thentic inqu­iry ba­sed a­ctivity. The resu­lts indica­te tha­t the pu­pils increa­sed their ma­p interpreting skills, bu­t no­ difference wa­s fo­u­nd between the two­ gro­u­ps u­sing different to­o­ls. The co­nclu­sio­n fro­m this stu­dy is tha­t the to­o­ls, di­gi­tal o­r no­t, di­d no­t i­nflu­ence the su­b­ject learni­ng i­f taki­ng i­nto­ acco­u­nt the i­m­po­rtance o­f m­aki­ng i­nteres­ ting, cha­llenging, a­u­thentic, a­nd inqu­iry ba­sed ta­sks ba­sed o­n so­cio­cu­ltu­ra­l thinking. The stu­dy will be fo­llo­wed u­p by a­na­lysis o­f a­ fo­llo­w-u­p test 5 mo­nths a­fter ending the pro­ject, by deeper a­na­lysis o­f the presented ta­sks; a­nd o­f a­na­lysis o­f o­ther ta­sks invo­lving the u­ndersta­nding o­f ma­p sca­le a­nd the ma­p co­o­rdina­te system.
Intelligent Traffic Control System

: This paper is about Intelligent Traffic Control and Management System which uses intelligent components like RFID, IR sensors, microcontroller, etc. It also consists of modules for i) Allowing passage of prioritized vehicles viz Ambulance, VIP, etc. ii) Enabling users to track their stolen or lost vehicles.iii) Help people to get information about the traffic density in specific area . iv) Avoiding corruption by automated fine deduction. RFID tags are used for unique identification of vehicles and IR sensors are used to get the vehicle count. RFID readers used are having frequency 125 KHz. PCB (Printed circuit Board) are used to mount circuit components.
An Analysis of the effect of the peripheral viscosity on bile flow characteristics through cystic duct with stone: Study of two-layer model with squeezing

Bile flow in the human biliary system plays a vital role in the pathogenesis of biliary diseases. In the present study, the effect of an overlapping stone in the cystic duct on the flow characteristics of bile is observed. The mathematical model here, considers a two-fluid model of bile, consisting of a core region of suspension of bile salts, cholesterol and bilirubin and peripheral layer of mucosa. The expression for the flow characteristics like the resistance, the wall shear stress, and the stress at the throat and at the critical height of stone is studied. It is observed that as the peripheral viscosity decreases the resistance to flow and the shear stress also decreases.
How Do Live Birth and Cumulative Live Birth Rate in IVF Cycles Change with the Number of Oocytes Retrieved?

Findings: There is a strong relationship between the number of oocytes retrieved and success rate. Generally speaking, the IVF birth rate (LBR) per cycle increases up to retrieval of 15 oocytes and subsequently decreases. Differently, our data shows that live birth rate LBR per transfer and cumulative LBR do not decrease when more than 15-16 oocytes are retrieved (a slight increase constituting a plateau was reported).
A Survey on Cloud Computing Energy Efficient Scheduling Algorithms

: Cloud computing is emerging technology due to pay-as-you-go pricing model. It is spreading globally, due to its easy and simple service oriented model as it offers utility -oriented IT services. Some people are having perception that cloud computing is just another name of Internet. The numbers of users accessing the cloud are rising day by day. Clouds are based on data centers, which are powerful to handle large number of users, who can access anytime and anywhere. Data centers consumes huge amount of energy leads to increase cost and carbon emission. Large number of data centers is easy to built, but not good for environment. In cloud computing we are available with different virtualized resources in order to complete the user task, hence in cloud computing. In this paper we have analyzed various algorithms by considering various parameters in which energy efficiency is mainly focused, in order to resolve the issue of large energy consumption in data servers, scheduling place a vital role, either in assigning virtual machines on servers or assigning tasks to various virtual machines. There are some limitations in these algorithms which further need improvement. Meta-heuristic algorithms could be used for solving the issue of energy consumption based on scheduling. Cloudsim simulator a toolkit for simulation is also discussed in brief.
An Optimized Genetic Algorithm with Classification Approach used for Intrusion Detection

IDSs which are increasingly a key part of system defense are used to identify abnormal activities in a computer system. In general, the traditional intrusion detection relies on the extensive knowledge of security experts, in particular, on their familiarity with the computer system to be protected. To reduce this dependence, various data-mining and machine learning techniques have been used in the literature. During recent years, number of attacks on networks has dramatically increased and consequently interest in network intrusion detection has increased among the researchers. In this paper we have used the terms detection rates and false alarm rates to compare the results of Naïve Bayes algorithm and Support Vector Machine algorithm to find out the results for intrusion detections and by using Naïve Bayes method with Genetic Algorithm technique try to improve the rates for better detection. The proposed algorithm is used for comparative study we have done in this paper on the basis of which we measure the performance and usefulness of particular methods in detecting specific class of attacks. Experimental results performed using the KDD99 benchmark network intrusion detection dataset indicate that it can significantly reduce the number and percentage of false positives and scale up the balance detection rates for different types of network intrusions.