Miracle-dz/UniFAR-FTUs huggingface dataset:
A NOVEL MULTIPHASE BIDIRECTIONAL FLY-BACK CONVERTER TOPOLOGY IS APPLIED TO INDUCTION MOTOR DRIVE

Hybrid Electric Vehicle (HEV) is an emerging technology in the modern world because of the fact that it mitigates environmental pollutions and at the same time increases fuel efficiency of the vehicles. Bi-directional Fly – back Converter controls electric drive of HEV of high power and enhances its performance which is the reflection of the fact that it can generate Constant voltages. For hybrid electric vehicles, the batteries and the drive dc link may be at different voltages. The batteries are at low voltage to obtain higher volumetric efficiencies, and the dc link is at higher voltage to have higher efficiency on the motor side. Therefore, a power interface between the batteries and the drive’s dc link is essential. This power interface should handle power flow from battery to motor, motor to battery, external gen-set to battery, and grid to battery. This paper proposes a multi-power-port topology which is capable of handling multiple power sources and still maintains simplicity and features like obtaining high gain, wide load variations, lower output-current ripple, and capability of parallel-battery energy due to the modular structure. The scheme incorporates a transformer winding technique which drastically reduces the leakage inductance of the coupled inductor. The development and testing of a bidirectional fly-back dc–dc converter for hybrid electric vehicle is described in this paper. Simple hysteresis voltage control is used for dc-link voltage regulation. The simulation results are presented, and modeling the circuit by using MATLAB/SIMULINK Platform.
IN VITRO ANTIOXIDANT AND ANTI-BACTERIAL PROPERTIES OF AN ANTI- INFLAMMATORY HERBAL MIXTURE OF C. JAGUS L. (AMARYLLIDACEAE) E. HIRTA LINN (EUPHORBIACEAE) AND T.TETRAPTERA TAUB (MIMOSACEAE)

The potential of most herbal preparations to prevent and cure diseases and disease conditions may be largely attributed to the anti-oxidant and anti-microbial activity of the herbal plants. The present study was undertaken to evaluate, comparatively, the antioxidant and anti-bacterial properties of the anti-asthmatic herbal mixture and its constituent herbal plants; Crinum jagus (CJ), Euphobia hirta (EH) and Tetrapleura tetraptera (TT). Antioxidant activity was evaluated using the standard methods of 1, 1-diphenyl-2-picrylhydrazyl and Ferric Reducing Antioxidant Property (FRAP). Anti-bacterial activity was evaluated by the Agar well Diffusion method. The antioxidant assay results showed the higher antioxidant capacity of EH and CJ than the mixture and compared favourably with the positive control, ascorbic acid, while TT showed a lower antioxidant capacity than that of the mixture. The anti-bacterial activity results showed that both EH and CJ have higher inhibitory activity than the herbal mixture. We may, therefore, conclude that there is no scientific justification for the continuous use of this herbal mixture as an herbal therapy for the treatment of inflammation related diseases, since both EH and CJ performed better than the herbal mixture as anti-bacterial and antioxidant agents.
A DEEP LEARNING MODEL FOR IMAGE CLASSIFICATION

In Image classification we classify image into one of the predefined classes. In conventional way, people use different computer vision techniques to extract features from images different machine learning algorithms uses these extracted features to classify the images. Various Supervised machine learning algorithms have been applied to multilabel image classification problems which have also brought successful results. It has become very difficult task to classify the images into interpretative classes. Apart from various learning algorithms the accuracy and performance of the model mostly depends on the trained dataset and the algorithm used. In this paper we have proposed a system to classify the scenery images into different groups of sunset, desert, mountains, trees and sea. In this paper the Current approaches for image classification make essential use of machine learning methods. We focus on deep learning techniques for feature extraction and classification of images. For multi class image classification we created dataset having landscapes scenes of sunset, desert, mountains, trees and sea. For multi label we use natural scenes dataset. In multi label classification problem an instance can have presence of more than one class among the given classes. There are methods to solve multi label classification problem but most of them are based on creating number of binary model equal to the number of labels and this technique is nothing but the Binary Relevance method. In this project, we propose a model which does not require creating multiple binary models instead it has single model which predicts the probabilities of different labels and uses probabilistic threshold values for respective label to convert those probabilities into presence and absence of class/label.
A vital SVKPCA Feature Set for Robust FRS with Ensemble Neural Network Classifier

: Face is the robust biometric in the field of access control and recognition. In this paper FFT Set, HARA Set, FHA Set, FHAKP Set and SVKPCA set are the five facial feature sets which was formed from spatial and frequency domain are analyzed using ensemble Neural Network to design a robust FRS. The ORL, NIR and Indian face databases are used to perform the experiments to prove that the proposed singleton SVKPCA set gives promising results irrespective of many challenges existing in the face databases. Following are the challenges faced by the feature set: gender, pose, expressions, scale and timing. The Neural classifier used in this proposed work incorporates the ensemble approaches of bagging and boosting to enhance the accuracy of the FRS from its regular standard model.
Introduce Sweet Potato Vines as Good Roughage for Small Ruminants

In order to introduce the sweet potato vines (SPV) as good roughage for small ruminants, three treatments (sun dried, silage with or without inoculants, 11C33) were carried out to come over their anti-nutritional compounds and pesticides residues contents. Four rations were studied, fresh SPV (FSPV), (control) (R1); sun dried sweet potato vines (SDSPV) (R2); uninoculated SPV silage (USPVS) (R3) and inoculated with (11C33) bacteria (ISPVS) (R4). All form of SPV was fed ad libtum, while concentrate feed mixture (CFM) was fed according to NRC (1994). The effect of treatments on concentration of anti-nutritional compounds, detoxification of pesticides residues, energetic values, rumen fermentation characteristics and degradability of roughages, blood picture and the consequently sheep performance was also studied. Digestibility trials were conducted with twelve Barki rams (three rams for each ration), while rumen fermentation trials were conducted with three fistulated female Barki ewes. Feeding trials were applied with twenty late pregnant Barki ewes. Milk production, milk composition, feed intake and following up of the new born lambs were studied. Data showed that: 1All silages were excellent and had a normal pH with the superiority of those inoculants, 2Crude protein content was increased by ensilage either with or without inoculants, while CF, NDF, ADF, hemicellulose and cellulose were decreased; 3All anti-nutritional compounds were reduced by the sun-drying and silage making compared to the fresh one with more influence with inoculants in that respect; in the same trend, concentration of pesticide residues was decreased; 4More TDN value and N-balance were resulted with ISPVS ration; 5Rumen fermentation for inoculants SPVS lead to less ruminal NH-N3, more VFA’s concentrations, more effective degradability (ED) of DM, CP and CF, more microbial protein (MP) synthesis, highest cellulolytic bacteria and lowest protozoa counts values; 6Feeding ISPVS ration resulted in more lamb’s weaning weight, gain and ADG compared with other tested rations. In the meantime, ewes had produced more milk, 4% FCM, better feed conversion, feed efficiency and good economic return and 7Serum glucose, total protein and albumin concentrations was significantly higher (P < 0.05) for ewes fed either USPVS or ISPVS rations. On the other hand, ewes fed ration contained FSPVS was higher (P < 0.05) in urea; cholesterol; AST and ALT than other rations. So, feeding ISPVS ration could be successfully and economically a good roughage for lactating ewes. However, it is necessary to carry on more research in this respect for a long term feeding on such materials with analysis of metabolites; blood; milk and meat products for animals fed such materials.
PHYSIO-BIOCHEMICAL STATUS OF SHOOTS RELATED TO LITCHI FLOWERING

Litchi produces leaf flushes, flowers and fruit on terminals of new growth. The reproductive phase is associated with the ability to alternate between the production of vegetative and reproductive buds. The stress factors like water stress and cold winter are the triggering factors to induce dormancy which promotes flowering. The flushes maturing earliest (before the winter period) produce floral shoots, while flushes maturing quite late (flushing just prior to floral induction) produce vegetative shoots. Significant reduction in the winter flushing (November and December) was recorded in paclobutrazol and KNO3 treated trees as compared to the control. ‘China’ litchi has lowered photosynthetic rate (A), transpiration rate (E), internal CO2 concentration (Ci), stomatal conductance (gs) and Leaf temperature (Tl) than ‘Shahi’ litchi. Floral shoots had more A, E but less Ci, gs over non-floral shoots. Leaves of floral and non-floral branches had reflected significant variation in bio-chemical status. Chlorophyll a, b and total chlorophyll contents were higher during flowering stage over floral bud differentiation stage irrespective of treatments. ‘China’ litchi had lesser content of total carbohydrate (total CHO) and reducing sugar (RS) content than ‘Shahi’ litchi. The total CHO and RS content increased from FBD stage to flowering stage but in contrast the proline and phenol content reduced during the same period. Although low temperature appears a pre-requisite for floral induction in lychee but there is strong relationship between flowering and flush emergence just before FBD. Harvesting of fruits with few leaves, post harvest cincturing (Girdling), use of paclobutrazol (PBZ) or KNO3 during September-October may be used effectively in the sub-tropics to inhibit winter flushing and induce synchronous flowering.
Statistical methods for evaluating the diagnostic accuracy of incomplete multiple tests

YI ZHANG: STATISTICAL METHODS FOR EVALUATING THE DIAGNOSTIC ACCURACY OF INCOMPLETE MULTIPLE TESTS (Under the direction of Donglin Zeng and Haitao Chu) The accurate diagnosis of a molecularly-defined subtype of cancer is often a very important step toward its effective prevention and treatment. For the diagnosis of some subtypes of certain cancers, a gold standard with perfect sensitivity and specificity may be unavailable. In those scenarios, the status of the tumor subtype commonly is measured by multiple imperfect diagnostic markers. In many such studies, some subjects are only measured by a subset of diagnostic tests and the missing probabilities may depend on the unknown disease status. In this research, we present novel statistical methods based on an EM algorithm to evaluate incomplete multiple imperfect diagnostic tests under conditional independence and conditional dependence assumptions. We applied the proposed methods to a set of real data from the NCI Colon Cancer Family Registry (C-CFR) on diagnosing microsatellite instability (MSI) for hereditary nonpolyposis colorectal cancer (HNPCC) to estimate diagnostic accuracy (i.e., sensitivities and specificities) and prevalence for 11 biomarker tests. Simulations are conducted to evaluate the small-sample performance of our methods. The advantages and limitations of our methods are discussed. An R package was developed for easy implementation of our methods. Finally, a proposal for future research also was presented.
ROUTING PROTOCOLS IMPLEMENTATION USING MOBILE AD-HOC NETWORK

Protocols of MANET are of primary importance in variable topology networks, such as mobile ad hoc networks. A routing protocol must determine how to transmit a data packet over multiple hops from a source node to a destination node. This determination must be performed rapidly, with minimal bandwidth consumed by control packets, and must adapt to network changes caused by node mobility and node loss, among other factors. Numerous routing protocols have been proposed for mobile ad hoc networks. We chose to study three of the four protocols recently recommended for development by the Internet Engineering Task Force (IETF) MANET work group: AODV, DSR and OLSR. It provides a comparison between reactive (AODV, DSR) and proactive (OLSR) protocols. The route discovery process of both protocols is fooled by the transient availability of network links to nodes that were more than one hop away. Packets transmitted over a fading channel cause the routing protocol to conclude incorrectly that there is a new one hop neighbor that could provide a lower metric (hop count) route to even more distant nodes. This can occur even when nodes are stationary; mobility resulted in even less route stability. We have compared the efficiency of two protocols on the bases of packet delivery, Congestion control and though put ratio. It is procedure to test our assertion that fading channels and unreliable network links were the cause of the failure of the routing protocols. The result was that neighbor discovery and the filtering for neighbors with which nodes could communicate reliably enables the creation of reliable multihop routes. Based on our experiences, we outline several recommendations for future work in MANET research.
Reasoning with Missing Values in Multi Attribute Datasets

-The presence of missing data in a datasets can affect the performance of classifier which leads to difficulty of extracting useful information from datasets . Dataset taken for this study is student records of university system that contains some missing values. To compute these missing values three technique are used named as Litwise deletion, Mean/mode imputation and KNN imputation, which result in imputed datasets. On these resulting datasets C4.5 classification algorithm is applied individually. This work analyzes the performance of imputation methods using C4.5 classifier on the basis of accuracy for handling missing data. Weka data mining tool is used for this experimental analysis.
Autonomous Vehicle and Augmented Reality Usage

With the development of autonomous development technology, the need for additional applications to be used inside and outside the vehicle is increasing. As a result of the literature review, many applications have been developed to display vehicle data directly on the monitor, with reflections on glass, and on hardware devices. These applications have been developed only for a defined problem and for a particular autonomous system. In this study, a basic autonomous vehicle software infrastructure and mobile Augmented Reality application that can work on Android devices have been developed. The Mobile Augmented Reality app serves inside and outside the vehicle. In addition, this application has been shown to support multiple autonomous system infrastructures.
A Hybrid Multilevel Inverter for Photovoltaic Applications

1,2Department of Electrical Engineering, SISTec, Bhopal (M.P.) India ----------------------------------------------------------------------***--------------------------------------------------------------------Abstract – With the advent of improved DC to DC and multilevel power electronic converters, the performance of standalone and grid connected photovoltaic systems has been improved up to a large extent. Due to the increased popularity of PV applications, the conditioning units to interface the power electric devices have gained significant recognition over the past few years. In this regard, this paper describes the detailed analysis of five level reduced device count multilevel inverter with boost converter using maximum power point tracking algorithm. Maximum power point tracking technique in the photovoltaic systems is implemented using perturb and observe (P&O) to obtain optimal output of PV array by continuously tracking along the maximum power point (MPP). The simulation study has been carried out under MATLAB/Simulation environment.
Performance Comparison of Optimised Qpsk Modulator with Msk Modulator in Vhdl

 Abstract: Quadrature PSK (QPSK) modulation is a prevalent and well spread digital modulation technique. QPSK Modulator was implemented using the CORDIC algorithm with reduction in area and delay than other conventional QPSK modulators. The main problem encountered with QPSK modulator is that phase continuity is not maintained. This problem is removed in another modulation technique called Minimum Shift Keying (MSK). The performance comparison between CORDIC based QPSK modulator and MSK modulator is done which led to the enhancement of some parameters such as area and delay which decide the performance of modulator. The design of both of these modulation techniques were implemented using Xilinx ISE software version 14.5 in VHDL using the Spartan 3E starter kit device.
TCAD Assessment of Oxide Impact on Linearity and Harmonic Distortions in Gate All Around (GAA) MOSFET

In this paper for the first time the effect of different oxides namely Hafnium Oxide (HfO2), Silicon Oxide (SiO2) and air have been studied and analyzed for Gate All Around (GAA) MOSFET in context of linearity and harmonic distortions and high frequency operation. Various linearity metrics such as third order derivative of transconductance (gm3), VIP2, VIP3 and IIP3 have been studied and analyzed for GAA MOSFET using different dielectrics. We have also studied Maximum Transducer Power Gain (MTPG), Unilateral Power Gain (UPG), gate capacitance (CGG) and maximum cut off frequency (fTmax). Along with linearity metrics various analog metrics have been examined like drain currents (Ids), ON to OFF current ratio, transconductance and output conductance. Hafnium Oxide (HfO2) is more suitable for analog applications and air is more suitable as a dielectric for high linearity applications.
SIAN OURNAL OF HEMISTRY

All the reactions in organic chemistry do not involve intermediates. Absence of intermediates indicates that the reactions in which bond making and breaking takes place by single step process called concerted reaction and that particular class of concerted reactions called pericyclic reaction [1]. Pericyclic reactions involve cyclic transition states. Woodward and Hoffmann [2] showed that symmetry of the orbitals that are involved in a reaction decide the mechanism of that particular reaction. In pericyclic reaction the lone pair electron on heteroatom, which take part in the cyclic transition state known as pseudopericyclic reactions [3-18]. Since there is no clear cut criteria exist to differentiate a pericyclic reaction from a pseudo-pericyclic one, some reactions have difficulty in being classified [19-23]. The magnetic property study is helpful to assess the extent of aromatization along the reaction path [2436] and also helps in quantifying reactions as pericyclic or pseudo-pericyclic. In this manuscript we have presented a comprehensive theoretical study of the sigmatropic rearrangement (SR) reaction Theoretical Study of Sigmatropic Rearrangement of Cycloprop-2-en-1-ol and its Fluorine Derivatives: Pericyclic or Pseudopericyclic Character from NICS and LLPE
Study of the Effect of Organizational Commitment on Employee Creativity: Mediating Role of Knowledge Sharing

The paper aims to study the relationship between organizational commitment and knowledge sharing; organizational commitment and employee creativity; knowledge sharing and employee creativity; and the knowledge sharing plays as mediator role. Simple sizes of 342 respondents from 17 four and five star hotels were collected in Cambodia. In order to achieve the purposes of this study and test the hypotheses, so that structural equation model (SEM) was employed. Results revealed that organizational commitment have influence on knowledge sharing and employee creativity, respectively; knowledge sharing has influence on employee creativity; and knowledge sharing also plays as partially mediated between organizational commitment and employee creativity. The finding is to fulfill the gap of literature and empirical study.
Android Malware Detection: A Study and Comparison of the Most Promising Techniques

: The number of Android system users has seen an exponential rise in the past few years. The open source nature of the Android platform and its ever increasing popularity has led to the development of numerous malicious applications aimed at attacking the system. The protection of unsuspecting Android users from such malwares is paramount and hence considerable efforts been put into malware detection. Numerous researchers have put forth some really promising techniques of malware detection in Android. This paper has presented a detailed study of the most promising malware detection techniques thereby aiding Android developers in choosing the most appropriate malware detection technique for their system.
SINGLE PHASE ASYMMETRICAL CASCADED MULTILEVEL INVERTER DESIGN FOR INDUCTION MOTOR

This paper presents a asymmetric cascaded 7 level multilevel inverter using fixed frequency level shifted carrier based pulse width modulation technique. This new control scheme is applied to 7-level asymmetric cascaded inverter design for induction motor load. Different firing angle control schemes in LSCPWM for 7level asymmetric cascaded multilevel inverter are compared. In asymmetric cascaded MLI by using only 2-H bridges with 8 switches we can get 7 level output voltage where as in symmetric cascaded MLI 7 level output voltage is obtained by using 3H bridges with 12 switches Keywords— symmetric CMLI, asymmetric CMLI, level shifted PWM, THD, PD, APOD, POD, Single phase induction motor
Review Performance Analysis and Challenges Wireless MANET Routing Protocols

-This paper is concerns to develop and evaluate secure dynamic Routes discovery between a source node and a destination in the MANET if needed, and achieve high speed during route discovery, update and data maintenance, optimal bandwidth for data packet transmission and select the route which is less congestion control and less overhead is very important and challenging issue in the MANET. The inherent features of MANET such as-open medium, dynamically changing network topology, lack of centralized monitoring and management point, and lack of a clear line of defense it more vulnerable to a wide range of attacks. Aims : - Studying and investigating the current protocols of ad hoc wireless networks. Assessing the difficulties faced by other routing protocols. Designing algorithms needed to implement the idea of this proposal (Secure Subnet Gateway Routing Protocol), and achieve the following goals: