Miracle-dz/UniFAR-FTUs huggingface dataset:
Secure Geographical routing in MANET using the Adaptive Position Update

MANETs are infrastructure free network, hence are mostly vulnerable to attacks and maintaining the anonymity of the nodes is also becoming a major concern. Most of the existing geographical routing methodology in Mobile Ad Hoc Networks (MANET) does not include any position update mechanism for anonymous mobile nodes. In this paper, we propose a secure geographical routing which uses an adaptive position update technique for MANET. When source wants to transmit the data to destination, it establishes a secured geographical route using group signature. Then a position update technique is used to dynamically adjust the position of nodes based on mobility and network forwarding patterns. The malicious node detection technique is used to detect the malicious node. By simulation results, we show that the proposed technique reduces packet dropping and enhances the packet delivery ratio.
MRAS BASED-SPEED CONTROL OF INDUCTION MOTOR USING REDUCED ORDER FLUX OBSERVER VISHAKHA

This paper describes a Model Reference Adaptive System (MRAS) for speed control of the Induction Motor drive (IM) without a speed sensor. In this scheme reduced-order Flux Observer is used instead of the Full-order Flux Observer, a reduced order flux observer is used for estimate the IM rotor speed, and these are used as feedback signals for the Field Oriented Control (FOC), which is a widely used control method for Induction Motor drive (IM). In comparison with the full order observer, the proposed method consumes less computation time and illustrated better speed performance. Simulation results shows that the proposed scheme can estimate the motor speed under various adaptive PI gains and estimated speed can replace to measured speed in sensorless induction motor drive. IndexTermsInduction motor drive, model reference adaptive system estimation sensorless control scheme
Improved Human Identification using Finger Vein Images

— Finger vein is a unique physiological biometric for identifying individuals based on the physical characteristics and attributes of the vein patterns in the human. The technology is currently in use or development for a wide variety of applications, including credit card authentication, automobile security, employee time and attendance tracking, computer and network authentication, end point security and automated teller machines. The proposed system simultaneously acquires the finger-vein and low-resolution finger image images and combines these two evidences using a novel score-level combination strategy. Examine the previously proposed finger-vein identification approaches and develop a new approach that illustrates it superiority over prior published efforts. In this thesis developed and investigated two new score-level combinations, i.e., Gabor filter, Repeated Line Tracking with Median filter and comparatively evaluate them with more popular score-level fusion approaches to ascertain their effectiveness in the proposed system.
Banana Plant Disease Detection and Grading Using Image Processing

: Agriculture with its associated sectors is undoubtedly the largest livelihood provider in India. Today, in agriculture plant disease is the significant concern as it reduces the production and quality of food. Hence there is a need to detect the plant diseases at the early stage. Banana leaf is highly exposed to diseases like Black Sigatoka, Yellow Sigatoka, Bunchy top, Panama Wilt, Streak virus. The detection of plant leaf diseases requires close observation. In this paper, we propose software solution for automatic plant disease detection and finally the percentage infection using image processing technique. Image processing techniques are employed to enhance the quality of images. Besides, the proposed work uses Artificial Neural Network to classify the Banana plant diseases which are mentioned above. The proposed system involves several steps, which include-dataset creation, image pre-processing, HOT feature extraction and artificial neural network based training and classification. Finally a system is developed that extracts the features from images and classifies the diseases is using ANN algorithm.
From Textural Inpainting to Deep Generative Models: An Extensive Survey of Image Inpainting Techniques

Image inpainting is an evolving discipline of image processing with the objective of reconstructing an image by removing unwanted information, adding missing information or presenting the information appealing to the human visual system. In the presented manuscript, we have exhibited an extensive survey of various image inpainting techniques. The effectiveness of the techniques is together summarized with significant comparisons and assessed by analyzing the merits and demerits. For applicability of image inpainting imparting optimum results in the field of loss concealment, object removal, image restoration or disocclusion, the information from nearby regions is seeked to acquire an image with restored absent information. The inpainted image result can be evaluated using subjective and objective analysis, with emphasis on subjective analysis as a dedicated tool for evaluation.
Next Best Action Using Prediction Analysis

— As the market has become increasingly saturated, churn prediction and management has become of great concern to many industries. A company wishing to retain its customer needs to be able to predict those who are likely to churn and will make those customers the focus of customer retention efforts. Today Customer data has properties of large samples, high dimensions, and more noises. In response to the limitations of existing feature selection in churn-prediction, we introduce and experimentally evaluate Support vector machine-recursive feature elimination attribute selection algorithm. It can identify key attributes of customer churn, rule out the related and redundant attributes, and reduce the dimensions of data. It is more important that this algorithm is related to the followed classification learning algorithm so that it can be better integrated into churn prediction. The empirical evaluation results suggest that the proposed feature selection algorithm extracts less key attributes and exhibits better satisfactory predictive effectiveness than the other three comparable attribute selection algorithms. Using this algorithm, a company can predict which customer has more probability to churn and can provide a scheme or take appropriate actions so that the customer continues to use the services of the company.
Isolation and Purification of High Efficiency L-asparaginase by Quantitative Preparative Continuous-elution SDS PAGE Electrophoresis

An Unique extracelluar glutaminase free L-asparaginase from novel marine Actinomycetes was isolated to perceptible homogeneity in agro industrial wastes. Quantitative Preparative Continuous-Elution SDS PAGE Electrophoresis is a high-resolution method for the preparative isolation of L-Asparaginase in biological samples. The enzyme was purified 248.68-fold and showed a final specific activity of 5035.28 IU/mg with an 80.71% yield. The homotetramer enzyme has a molecular mass of 133.25 kDa and an isoelectric point of approximately 5.4. Kinetic parameters, Km and Vmax of purified L-asparaginase from Streptomyces radiopugnans MS1 were found to be 0.0598, 3.5478 IU μg-1 respectively. The de novo sequencing strategy presented here provides a rapid and reliable means to identify proteins in Streptomyces radiopugnans MS1. The purified L-asparaginase has no glutaminase activity, which can diminish the leeway of side effects during the itinerary of anti-malignancy therapy. Isolation and Purification of High Efficiency L-asparaginase by Quantitative Preparative Continuous-elution SDS PAGE Electrophoresis
Design Build Lung Sound Detection with Fast Fourier Transform (FFT) Analysis in Normal and Smoker Subjects

Smoking disturbs health, this is a fact we can not avoid. Many diseases have been shown to be a bad result of smoking, either directly or indirectly. Even the World Health Organization (WHO) has warned that in the decade 2020-2030 tobacco will kill 10 million people per year, 70% of which occur in developing countries. Through the 1983 resolution, the World Health Organization (WHO) has established May 31st as World Tobacco Free Day every year.The output of this research is to design an instrument booster for lung sound detection and analyze lung noise by using FFT method on smokers and nonsmokers subject.In the signal of the smoker respondent shows with the same amplitude of its height with regular period, so the amplitude is 5mvp-p. After our signal analysis using FFT method the lung voice signal shows the same amplitude, At the same frequency between 0.5 Hz amplitude 5.8 mV. In non smoker respondents the signal shows with the same amplitude of its altitude with regular period, so the amplitude is 6mvp-p. After our signal analysis using the FFT method the lung voice signal shows different amplitude. At the same frequency between 0.5 Hz the amplitude is 11 mV.
VWDRE – A VISION-BASED APPROACH FOR MINING DATA FROM SEARCH ENGINE RESULT PAGES

The data extraction from the dynamically generated web pages is a challenging factor because the result of the search engines are always different for every query submitted. Many techniques were proposed to address this issue but most of them have the common problem of language-dependency. In order to overcome the limitations of previous works, there are few ways which analyze visual features of the web page. In this paper, we proposed a new vision-based approach which is independent of the code used. It broadly utilizes the visual features on the search engine result pages to locate the data region so asto mine the data records from it. We develop a clustering by similarity algorithm to check the similarity of data records. Also, we propose a technique to generate the wrapper for data record extraction by examining the multiple result pages from the same search engine
Electric Wheelchair Controlled by EMG Signals with Obstacle Detection

The main approach of this project is to create an assistive technology which will help for disabled persons. Here a wheelchair based approach is employed which is interfaced with an embedded technology and a bio-medical device which helps for disabled person to move independently. The device used here is EMG, which get the signals from electrode which are attached to muscle and the signal pulse generated are noted down from EMG. The signals are then amplified, digitalized and transmitted wirelessly. The signals are received at the receiver and the wheelchair is controlled with respect to the transmitted digitalized signal. Thus the wheelchair is controlled wirelessly, which makes helpful for the disabled person who is handling restricted free movements. There is also an Ultrasonic Sensor Detector which is used for detecting the obstacle. Index Terms EMG, Assistive technology, Controller, Electric wheelchair. ________________________________________________________________________________________________________
Fault Tolerance Mechanism using Clustering for Power Saving in Wireless Sensor Networks

— The dependability of wireless device networks (WSN) is laid low with faults which will occur attributable to varied reasons like malfunctioning hardware, software system glitches, dislocation, or environmental hazards, e.g. ﬁre or ﬂ ood. A WSN that's not ready to take care of such things may suffer a discount in overall lifespan, or lead to hazardous consequences in important application contexts. In our proposed work we will propose the fault tolerance mechanism by finding the fail over scenario and will select the backup cluster head. In case of failure of primary cluster head, back up cluster head will take place of primary cluster head automatically. The results shows that the performance of the proposed scheme for finding better fault tolerance in wireless sensor network. Traditional SECA scheme provide good solution for finding cluster heads with good approach but proposed scheme have much better performance in finding cluster heads. The accuracy of the finding cluster heads much improved than the SECA method for energy saving in wireless sensor network. The purpose of back up cluster heads is very helpful in saving energy.
SIMULTANEOUS ESTIMATION OF ROSUVASTATIN CALCIUM AND EZETIMIBE AS BULK DRUG AND IN TABLET DOSAGE FORM BY RP-HPLC METHOD

A simple, rapid, specific and sensitive reverse phase high performance liquid chromatography was developed and validated for simultaneous estimation of Rosuvastatin calcium and Ezetimibe in combined tablet formulation. The separation was achieved by Thermo C18 column (4.6mm x 250 mm) with a mobile phase consisting of Acetonitrile: Water (80: 20 v/v) at a flow rate of 1.0 mL min. Detection wavelength was 241 nm. Retention times were found to be 1.758 min and 3.133 min for Rosuvastatin calcium and Ezetimibe, respectively. The developed method was validated interms of linearity, precision, accuracy, limit of detection, limit of quantitation and robustness. The method was found to be linear in the concentration range 5-30 μg mL for both the drugs. The method was applied successfully for the analysis of drugs in combined tablet dosage form. The mean % recovery was found to be 101.16 and 100.11 for Rosuvastatin calcium and Ezetimibe, respectively. The developed method can be used for the simultaneous quantification of these drugs in the dosage form, bulk drug as well as for routine analysis in quality control laboratories.
PRELIMINARY STUDIES ON PHYTOCHEMICAL SCREENING AND IN VITRO ANTIOXIDANT ACTIVITIES OF CARALLUMA FIMBRIATA

Many oxidative stress related diseases are as a result of accumulation of free radicals in the body. Globally, plenty of research is directed towards finding natural antioxidants of plants origins. The aim of the present study is to evaluate in vitro antioxidant activities of Caralluma fimbriata and screening its phytochemical constituents (crude ethyl acetate and methanol extracts). Phytochemical analysis revealed the presence of flavonoid, tannin, saponin, terpenoid and cardiac glycoside in both the extracts except alkaloids in ethyl acetate extract. Total phenolic content of ethyl acetate extract was higher than the methanolic extract. Methanol extract displayed high total peroxyl radical-trapping antioxidant parameter (TRAP), ferric reducing antioxidant power (FRAP) and ferric thiocyanate activity (FTC). However, (ABTS) 2,2'-Azinobis-(3-ethylbenzothiazoline-6-sulfonic acid) activity was high in ethyl acetate extract. Our results support the potent antioxidant activity of methanol and ethyl acetate extract of Caralluma fimbriata which adds one more positive attribute to its known pharmacological importance.
Amplification of laeA Gene in Aspergillus terreus: A Strategy to Generate Lovastatin-Overproducing Strains for Solid-State Fermentation

Lovastatin industrial production is conventionally performed with strains of Aspergillus terreus by liquid submerged fermentation (SmF); however, solid-state fermentation (SSF) has become an alternative industrial production system (Suryanarayan, 2003). One of the major positive aspects of SSF is that enzymes, and secondary metabolites, are in many cases, produced at much higher yields than in SmF (Barrios-González et al., 1988; BarriosGonzález et al., 1993; Balakrishnan and Pandey, 1996; Robinson et al., 2001; ISSN: 2319-7706 Volume 4 Number 10 (2015) pp. 537-555 http://www.ijcmas. com
PHARMACOGNOSTIC STUDIES ON THE SPINE OF ZANTHOXYLUM RHETSA (ROXB.)DC

Zanthoxylum rhetsa (Roxb.) DC. known to the Kanikkars as “Malvapoou” is an important medicinal plant. The Kanikkar tribe, inhabitants of the Agasthiarmalai Biosphere Reserve, Western Ghats, Tamil Nadu, applied the paste prepared by rubbing the hard spines on the rock along with water on the breast to give relief from pain and increase lactation in nursing mothers. From the exhaustive literature survey, it is found that so far no proper pharmacognostical and phytochemical studies of spine of Zanthoxylum rhetsa have been reported. The present investigation deals with the pharmacognostic studies of the spine of the said plant. Pharmacognostic studies include microscopic, physicochemical constants (ash & extractive values), fluorescence analysis and preliminary phytochemical evaluations.
Plant Disease Detection Techniques: A Review

The Plant disease detection is the technique which is applied to detect diseases from the infected plants. The plant disease detection techniques consist of two phases, in the first phase segmentation of the input image done which detect diseased portion from the input image. The technique of features extraction is applied which will extract the features of the image and also classify extracted features using various classifiers. In this paper, various techniques of segmentation, feature extraction and classification is reviewed and discussed in terms of various parameters.
Application of corrosion-resistant corning advanced-flow reactors for multiphase Bunsen reaction-part one: investigation on SO2 absorption 

To upgrade bitumen from Canadian oil sands into synthetic crude oil, a tremendous amount of hydrogen (H2) is needed mostly for hydrotreating, where nearly the same amount of hydrogen sulfide (H2S) is produced on molar basis. Traditionally, the H2S is converted into elemental sulfur (S) in sulfur recovery units through the Claus process.1 Although the Claus process is very well established, it has drawbacks. For instance, about half of the H2S handling costs are related to the tail gas treatment. More importantly, the conversion of hydrogen into low-value water reduces plant efficiency. An H2S chemical splitting cycle2 was developed in our research group in order to directly decompose hydrogen sulfide with simultaneous production of hydrogen, which could be reused in oil sands upgrading as a partial substitute for steam reforming of methane (SRM). Similar to the S-I water-splitting cycle,3 this cycle consists of three chemical reactions: ( ) 2 2 4 2 2 2 120–150 H S H SO S SO H O C + → + + (1)
A Survey on Clustering Based Image Segmentation

– In computer vision, segmentation refers to the process of partitioning a digital image into multiple segments (Sets of pixels, also known as super pixels). This paper is a survey on various clustering techniques to achieve image segmentation. In order to increase the efficiency of the searching process, only a part of the database need to be searched. For this searching process clustering techniques can be recommended. Clustering can be termed here as a grouping of similar images in the database. Clustering is done based on different attributes of an image such as size, color, texture etc. The purpose of clustering is to get meaningful result, effective storage and fast retrieval in various areas.
A Secure Image Watermarking Technique Based On DWT-DCT

: A digital watermark is a digital data embedded into a digital document for example text, graphics or multimedia and keeps data unique to the copyright holder, the maker of the document or the certified consumer. The major applications of the Digital Image watermarking are mostly for authentication, recognition and copyright safety. The Digital watermarking is a method of inserting one signal hooked on another signal. The implementation is completed by using both the spatial and frequency domain for the mission of information hiding. The algorithms use the concept of Least Significant Bit (LSB) substitution, Discrete Wavelet Transform (DWT), Discrete cosine transform (DCT)etc. Certain Parameters like Peak Signal-to-Noise Ratio (PSNR), Mean Square Error (MSE) and Signal-to Noise Ratio (SNR) are the performance parameters used for the study and judgment among the techniques. The capability of every algorithm is too noted and the outcomes are obtained by using software as Matlab. With this paper, we have presented a Digital Image Watermarking, which is based on DWT-DCT Methodology. With the help of this technique, we can do safe image transmission.
A Novel Three Phase Three Leg AC/AC Converter Using Nine IGBTS

ABSTRACT: This paper proposes a three-phase nine-switch AC/AC converter topology. This converter features sinusoidal inputs and outputs, unity input power factor, and more importantly, low manufacturing cost due to its reduced number of active switches. The operating principle of the converter is elaborated; its modulation schemes are discussed. Simulated semiconductor loss analysis and comparison with the back-to-back two-level voltage source converter are presented. The most popular configuration uses voltage source inverter with a diode rectifier as a front end for adjustable speed drives, uninterruptible power supplies and other industrial applications. The back to back two level voltage source converter requires a relatively high number (12)of active switches such as insulated gate bipolar transistors(IGBTs). It also needs a dc-link capacitor that is responsible for a limited life span and increased cost. To reduce the device count and minimized/eliminate a dc-capacitor filter, various converter topologies have been proposed with the help of MATLAB / SIMULINK.
Enhance wireless Capacity through Multi-hop Scheduling

: Today’s, throughput capacity of a wireless network is big challenge and also, single-hop scheduling communication requests was not consider routing nor power control problems. In a single hop it targets only an approximation that is optimal up to a factor that is logarithmic in the number of requests. In this type scheduling algorithm The NP-hard problems are occurred when it compute any network’s capacity up to a small insecurity. In existing paper, used Signal to Interference plus Noise Ratio (SINR) and greedy algorithm which are not able to deal with difficult scenario as efficiently one of the biggest drawback of greedy, its compute three time longer than approx A. In existing paper[1], by applying the single-slot subroutine repeatedly to realize an O(log n)-approximation (where is the number of communication links) for the problem of minimizing the number of time slots needed to schedule a given set of arbitrary requests. All these problems are overcome in our proposed system. In this paper, we proposed Muti-hop scheduling algorithm to overcome single-hop scheduling problems. We also proposed instance-based measure of interference which is overcome to problem of past result of SINR. Also we proved lower and upper bounds for scheduling to a set of request. We are improving on previous approximation factor to introducing approx A in term of lower and upper bounds.
INVESTIGATION OF RENOTOXIC EFFECTS OF CISPLATIN IN ALTERING DOSES ON EXPERIMENTAL ANIMALS

Department of Pharmacology, CMR College of Pharmacy, Medchal, Ranga Reddy District, Telangana ISSN: 0976-3031 RESEARCH ARTICLE INVESTIGATION OF RENOTOXIC EFFECTS OF CISPLATIN IN ALTERING DOSES ON EXPERIMENTAL ANIMALS 1* Uday Kiran B, 1Sushma M, 2Prasad K.V. S.R. G, 1Vijay R Chidrawar, 1Uma Maheshwara Rao V 1Department of Pharmacology, CMR College of Pharmacy, Medchal, Ranga Reddy District, Telangana 2Department of Pharmacology, Institute of Pharmaceutical Technology, SPMVV, Tirupathi, Andhra Pradesh
An Innovative Monitoring Application for Child Safety

This paper provides an overview of a proposed dissertation work An innovative monitoring application for child safety. This project proposes a child activity recognition device using a 3-axis accelerometer worn on a waist of the body to prevent child accidents such as unintentional injuries at home. Child activities are classified into many daily activities such as standing still, standing up, sitting down, walking, climbing up, climbing down etc. The proposed system consists of two parts, a wearable system for child designed using embedded platform and a guardian system installed on PC/laptop.