Miracle-dz/UniFAR-FTUs huggingface dataset:
SIMULATION MODELLING ON AN INTEGRATED NON-ISOLATED BUCK-FLYBACK AC-DC CONVERTER FOR POWER QUALITY IMPROVEMENT

In this proposed new converter is an inherent integration of a buck converter and a flyback converter, which operates in either fly back mode or buck mode according to whether the input voltage is lower or higher than the output voltage.In this way, the dead zones of ac input current in traditional buck PFC converter are eliminated.Therefore, the proposed integrated buck–fly back nonisolated PFC converter can achieve high PF under universal ac input range.A proposed converter will be simulated in MATLAB/SIMULINK environment.A 100-W prototype was built up to verify the theoretical analysis of the proposed integrated buck–flyback non-isolated PFC converter. Objective of this proposed topology is modeling of High power factor correction converter by integration of a buck–Fly back input current shaper with a Auxiliary fly-back converter.proposed converter operates in fly back mode when the input voltage is lower than the output voltage and operates in buck mode when the input voltage is higher than the output voltage.
AN APPROACH TO AUTOMATIC BRAIN TUMOR DETECTION IN MAGNETIC RESONANCE IMAGES

-Detecting the presence of a tumor in the brain is an important task but is quite time consuming when performed manually by experts. Automating this process is challenging due to the high diversity in appearance of tumor tissue in different patients, and in many cases, similarity between tumor and normal tissues. In this paper we provide an approach towards the automation of this process. We use MRI images of the brain and attempt to calculate the position and the size of the tumor. We first pre-process the image to remove noise and unnecessary portions from the image (like portions containing eyes, scalp etc). This image is then segmented into smaller number of slices. Then, we process each pixel in each slice in attempt to detect the tumor. This method is automatic and independent user’s capability. We implement a simple clustering algorithm, the k-means algorithm, for this purpose. This method reduces the time required for manual analysis and allows detection of tumor with an accuracy comparable to the manual analysis.
Text Mining Using Natural Language Processing

— The World Wide Web today has a massive amount of widely distributed, interconnected, rich and dynamic hypertext data. One of the Text mining objectives is to extract knowledge from unstructured textual data. The contribution in this research is to design and implement a system combining morphology, synonyms, indexing and databases for Text Mining and Information Retrieval with different modes regarding morphology and synonyms. The used approach is based on preprocessing the Arabic text to convert it into semi-structured indexed database. A suitable indexing method and an appropriate searching mechanism are used to extract the required information. The proposed model is evaluated and it showed Average recall between 85% and 100% depending on the selected mode. It also showed average precision between 73.2% and 90.33% and average F-measure of 87.03.
Efficacy of Intra Masseteric Dexamethasone in Reducing Pain and Swelling after Surgical Removal of Mandibular Third Molars

Aim: The aim of the study was to compare the efficacy of intra massetrically given dexamethasone through intrabuccal approach in reducing the post-operative sequelae after surgical removal of impacted mandibular third molars. Materials and Methods: Twenty patients were selected, each of who required surgical extraction of a single impacted mandibular third molar. Patients were in the age range of 18–40 years. Patients were randomly set apart into two groups of 10 each. The experimental group received 8 mg dexamethasone which is injected into the masseter muscle intrabuccally. The control group did not receive any kind of steroids. Facial swelling was measured by an independent examiner preoperatively and 2nd day postoperatively. Visual analog scale is used to measure pain from patient’s response. Results: There is a significant reduction in swelling and pain in the dexamethasone group when compared with the control group. Conclusion: Intra masseteric injection of 8 mg dexamethasone through intrabuccal approach is a better way to minimize swelling and pain after surgical removal of impacted third molars in the mandible.
MMBAS-NS: Multimodal Biometric Authentication System and Key Generation Algorithm for Network Security on Mobile Phones

: Nowadays mobile devices are an important part of our everyday lives since they enable us to access a large variety of ubiquitous services. In recent years, the availability of these ubiquitous and mobile services has significantly increased due to the different form of connectivity provided by mobile devices. In the same trend, the number and typologies of vulnerabilities exploiting these services and communication channels have increased as well. As the number of vulnerabilities and, hence, of attacks increase, there has been a corresponding rise of security solutions proposed by researchers. To overcome these issues in security solutions, we introduce a new method based on cryptographic generation system. We proposed a new multimodal biometric authentication system, here key values are created via the use of multiple biometrics instead of a single biometric, in an effort to generate strong and repeatable cryptographic keys. In this work, a multimodal biometric authentication system (MMBAS) is developed using face, fingerprint and retina images and key generation is also done using these images. Initially images are pre-processed using adaptive median filtering and Otsu’s segmentation algorithm for background subtraction. Then minutiae feature of these images are extracted with the use of Local Binary Pattern (LBP) algorithm and then the feature vectors of face, fingerprint and retina are fused using XOR operation. Later the fused feature vector is used for cryptographic key generation. The evaluation is performed on network security for showing the reliability of the newly introduced approach in terms of Precision, Recall, Accuracy and false rejection rate.
A STUDY ON THE SPECTRUM OF LYMPHOMA AT SBMCH (A TERTIARY CARE CENTRE)-A RETROSPECTIVE STUDY

Lymphoma is a proliferative disorder which arises in discrete lymphoid tissue mass. The malignant lymphomas can be divided into two major categories: Hodgkin lymphoma and all the others, which, for lack of a better term, are known collectively as non-Hodgkin lymphomas. [1,2,3,4,5] This is a retrospective study done at the department of pathology, SBMCH, Chennai, India. Mixed cellular variant of Hodgkin's lymphoma was found to be common. Lymphocyte rich & lymphocyte depleted variant of Hodgkin's disease was relatively rare in our study. There was a high incidence of primary nodal Hodgkin's lymphoma in the younger age group.
An Improved Speech Processing Strategy for Cochlear Implants Based on objective measures for predicting speech intelligibility

The purpose of this study was to improve the speech processing strategy for cochlear implants (CIs) A speech preprocessing algorithm is presented to improve the speech intelligibility in noise. The algorithm improves the intelligibility by optimally redistributing the speech energy over time and frequency for a perceptual distortion measure, the algorithm is more sensitive to transient regions. Two objective intelligibility predictors are applied before and after processing without modifying the global speech energy. Kalman filter is used to calculate estimated errors Keywords—algorithm for perceptual distortion; Methods for speech intelligibility prediction ;STOI; coherence SII; Kalman filter;
OT1_OA_Tushar edit

Background: The aim of the study is to find the frequency of dry eye in type 2 diabetes mellitus patients in a tertiary care centre in Western Uttar Pradesh region. Methods: A cross sectional observational study, conducted in the Department of Ophthalmology, Teerthankar Mahaveer Medical College and Hospital. A Total of 200 patients were enrolled, 100 in Type 2 diabetes mellitus group and 100 in non-diabetic group. Detailed ocular and diabetic history was recorded and clinical examination with slit-lamp for anterior segment was done. Schirmer’s test (SchT), Tear breakup time (TBUT) were performed, and results noted. The stage of diabetic retinopathy was determined using direct and indirect ophthalmoscopy. Results: According to the present study, frequency of dry eye was more in diabetics (68%) as compared to non-diabetic patients (32%). Frequency of dry eye was maximum among the patients of above 60 years of age with 48.5% and 48.1% in diabetic and non-diabetic group respectively. Dry eye was more common in females in both the groups, 54.5% and 51.8% respectively. Dry eye was seen in 75% patients having diabetic retinopathy. Dryness (68%) and watering(21%) was the most common ocular symptom in diabetics and non-diabetics respectively. Conclusion: Dry eye have high frequency with diabetics and diagnosis for dry eye by TBUT and Schirmer’s along with history of ocular symptoms can be utilized as screening tool. Dry eye appears more in higher age group and in females as compared to middle or younger age group. Frequency of dry eye is much higher in diabetics having diabetic retinopathy as compared to the other diabetic patients without diabetic retinopathy.
EFFECT OF INTRATHECAL DEXMEDETOMIDINE AS ADDITIVE FOR SUBARACHNOID BLOCK IN ARTHROSCOPIC ANTERIOR CRUCIATE LIGAMENT RECONSTRUCTION: A PROSPECTIVE RANDOMIZED DOUBLE BLIND STUDY

a,c MD (Anaesthesiology) Senior Adviser (Anaesthesiology), Military Hospital Kirkee, Range Hills, Khadki, Pune, Maharashtra 411020 India. b MD (Anaesthesiology), Graded Specialist (Anaesthesiology), Military Hospital Kirkee, Range Hills, Khadki, Pune, Maharashtra 411020 India. d MS (Gen Surgery), D Ortho Commandant and Consultant (Surgery and Orthopaedics), Military Hospital Kirkee, Range Hills, Khadki, Pune, Maharashtra 411020 India.
Marine Sponge: Natural Reservoir of a Myriad of Bioactive Compounds

Biodiversity in the marine environment exceeds that of the terrestrial environment. But exploration of marine natural products is still in the infant stage. Among the diverse bioactive compounds which are discovered from marine organisms, sponges have been assigned a high priority as they have been accepted as a promising organism for the discovery of pharmacologically active drug leads. Marine sponges have provided successful examples that prove natural products derived from them had the therapeutic potential to develop as future drugs against different types of cancer, viral diseases, malaria, inflammation etc. All these findings attract the pharmaceutical field to involve in marine sponge research though more research is required to confirm promising results. Today scientists engage in studying the mode of action of the compounds from sponges at molecular level and also their possible role in treating diseases as the fascinating marine life continues to give natural products. This review aims at covering the new developments in the field of marine sponge research and bioactive compound discovery. Amitha Kurian 1 , Preetham Elumalai 1, 2 * 1 Department of Biochemistry, School of Aquatic Food Products and Technology, Kerala University of Fisheries and Ocean Studies, Cochin-682506, Kerala,
A Comparative Study on Clustering and Classification Algorithms

: -- The abnormal rise in data is a matter of great concern in todays world . Recent studies emerged with the fact that data increases twice every year. In order to gain more precise information from this huge database mining is needed. Data mining is defined as the method of extracting hidden relationships from large databases. It binds together disciplines like machine learning, statistics, information retrieval and visualization techniques helping users in predictive analysis of raw data. Clustering deals with grouping objects into different classes based on their similar habits whereas classification classifies objects based on predefined classes. It finds its application in statistical data analysis, pattern recognition, image analysis, information retrieval etc . This paper makes a comparative study of a few classification and clustering algorithms using WEKA .
OCCUPATIONAL STRESS AND ITS IMPACT ON WORK EXHAUSTION— AN EMPIRICAL STUDY AMONG INFORMATION SYSTEMS PERSONNEL

: Occupational stress has emerged as a crucial and pervasive issue in contemporary work life. Mounting research evidence proves beyond dispute that stress has a dysfunctional impact on both individual as well as organizational outcomes. This paper investigates using survey methodology the relationship between occupational stress and work exhaustion among information systems personnel. The study shows that certain stressors like fear of obsolescence, lacunae in training, work-family conflict and time pressure act as significant predictors of work exhaustion among information systems personnel. The study further showed that work exhaustion was high among information systems personnel who experienced more occupational stress, when compared to their counterparts who experienced lower levels of stress.
International Journal of Advance Research in Computer Science and Management Studies

The basic operation of wireless sensor network is the efficient gathering and transmission of sensed data to a base station for advance processing. The life of such a sensor system is the time during which it can gather information from all the sensors to the base station. A fundamental challenge in data gathering is to maximize the system lifetime, given the energy constraints. As sensor networks are being all the time more deployed in decision-making the process that on in packet Bloom filters to encode provenance of the information. This proposed work introduces efficient tools for provenance verification method and reconstruction method at the base station with the functionality to detect packet drop attacks or by malicious data forwarding nodes. To propose a novel lightweight scheme to securely transmit provenance for sensor data. In addition the secure provenance scheme with the functionality to detection packet drop attacks by malicious data from the source to destination node. This work proposes a new lightweight scheme in order to securely transmit provenance with sensor data. This mechanism initially performs provenance at the base station then perform reconstruction of the data at the base station. In addition to this the provenance scheme functionality used to detect packet drop attacks organized by malicious data forwarding nodes. This work describes the effectiveness and efficiency of the Light weight secure provenance scheme in detecting packet forgery and packet loss attacks.
MOBILE COMPUTING and SNAPDRAGON

-Recent years show the new phase of computing. There is shift from desktop to hand-held devices. These devices have changed the era of computing, with the aim of supporting “portability, mobility” to the users, it comes with extensive research issues to the scientists, engineers and other concerned people. In this paper, I have tried to focus on mobile computing, its features, advantages, applications and various issues associated with it. In the subsequent section, Qualcomm’s Snapdragon 820 is discussed with the aim of justifying that it would be best choice of processor selection for smart phones.
OVERREACTION AND UNDERREACTION IN STOCK MARKETS: A REVIEW

Contrary to the conventional belief that the market s are rational and efficient (Fama E, 1970), invest ors overreact to both good and bad news. This may cause unjustifi able up and down movements in the stock price and e nabl investors to make irrational, short-term profits. The prices won't reflect the true value of the stock when the market is inefficient and hence this will be followed by a correction in the prices. Persistent overweighting of recent informat ion and underweighting of long-term fundamentals by irratio nal investors will result in overreaction. This hap pens in the case of overconfident informed investors. This paper is a r eview of the works that analyse the overreaction in stock market.
Better understanding of peritoneal membrane anatomy and physiology-a success behind peritoneal dialysis

Peritoneal dialysis is a form of renal replacement therapy which was first performed on humans by Ganter in Germany, in the 1920s. Palmer developed the first permanent peritoneal catheter made of silicone rubber. Moncrief and Popovich in 1977 developed Continuous Ambulatory Petitoneal Dialysis (CAPD) as a form of renal replacement therapy in chronic kidney disease. Peritoneal dialysis (PD) gained an enormous popularity due to its simplicity, low cost, and ease at which it could be performed at home by patient himself. The key factor for success of PD in recent years is because of better understanding of peritoneal surface anatomy and physiology, which has led to development of better technology, solutions and devices. ISSN: 2319-7706 Volume 2 Number 8 (2013) pp. 144-147 http://www.ijcmas. com
A Partner Selection Techniques in Wireless Cooperative Communication with Effective Power Saving.

--With the revolution in technology, most of the communication systems are going to be wireless. But wireless communication performance is badly ejected by channel fading. One of the possible solutions is MIMO, but it is not always possible to provide more than one antenna, due to size constraints. So virtual MIMO, known as cooperative diversity was introduced, to provide diversity. This report presents a study of network with source, destination and relay, deferent transmission protocols and relay selection techniques. In cooperative wireless networks, it is often the case that multiple sources and multiple relays cooperate to transmit their data to destination. For the cooperative systems, selecting an appropriate relay node is of prime importance. Various relaying algorithms are used to select appropriate relay. In this report, the algorithm, namely greedy and exchange algorithm, is used for relay selection. It aims to minimize the total transmission power in the multi source and multi relay wireless networks in which one source has only one partner to help for information transmission. Later on, based on the analysis and the mechanism used in GAEA, an alternative version of GAEA is provided, that enhances the algorithm for more optimized result.
A Proposed Turbo Coded Discrete Multiwavelet Critical-Sampling Transform Based OFDM System

— In this paper, a turbo coded discrete multiwavelet critical-sampling transform (TC-DMWCST) based orthogonal frequency division multiplexing (OFDM) system has been proposed to improve the bit error rate performance and increase the throughput of the traditional turbo coded fast Fourier transform (TC-FFT) based OFDM system over wireless channels. The new system is more flexible in terms of data rate and more robust with respect to inter-symbol interference (ISI) and inter-carriers interference (ICI) than traditional system. The proposed system has been tested using MATLAB software according to different modulation schemes over different channel conditions and its performance has been compared with the TC-FFT based OFDM system. Simulation results are shown that the proposed system offers significant bit-error-rate gains compared with that of the traditional system.
Design and Implementation of Multi-Modal Feature Extraction for Bio-Authentication

: Design and implementation of Feature extraction of study of biometric images is being evaluated here. The major challenge in image processing technology is that predicting the uniqueness of the input. Such a system encloses a variable performance when compared with the traditional method. Palm vein recognition is a unique biometric authentication method based on the reliable authentic patterns of veins in the palms of people’s hands. Palm vein recognition systems, compare the database of various images and does the feature extraction technique. As an added technique to increase the authentication accuracy now a day’s multiple biometrics with Multi-modal feature extraction is mandatory. Here iris based authentication is also extracted to evaluate the improved authentication process in any kind of secured communication.
Cloud Computing: Attacks and Defenses

Cloud computing is described and considered to be a fast improving information technology which brought a new change and opportunity to the information technology world and in the field of human endeavor by providing environment for information and resources sharing that are delivered as a service to the final consumer over the World Wide Web on request. This could enable consumers to access and utilize their data at any point in time and also have beneficial online storage services. As a result of its numerous advantages, cloud computing is face with serious security risks. This paper reviews the research carried out in 2010-2014 and presents the classes of vulnerabilities of attacks in the cloud deployment models, their preventive measures and the performance evaluation on the types of deployment models.We also discovered a new attack surfaces on selected two deployment models describes in the section 6.3, which we recommended for future research work.
A STUDY OF MAGNESIUM CONCENTRATION AS A NOVEL PREDICTOR IN PATIENTS WITH NON INSULIN DEPENDENT DIABETIC NEPHROPATHY

Diabetic Nephropathy is one of the well known complication of diabetes mellitus [DM]. It has been reported in several studies that the metabolism of trace elements like cupper magnesium has altered in diabetes. Aim of the present study was to investigate serum magnesium, creatinine, blood urea and other baseline parameters in diabetic nephropathy patients. The study includes total 65 diabetic nephropathy patients and 65 controls with the age group of 40-65 years. Fasting Blood Sugar, Post Prandial Blood Sugars were determined by using the Glucose Oxidase/ Peroxidase method, estimation of blood urea by Berthelot method, serum creatinine by modified Jaffe’s reaction commercial kit by using semiautoanalyser, serum magnesium by colorimetric xylidyl blue method using commercial kit by using semiautoanalyser. The Mean ± SD values of Fasting Blood Sugar, Post Prandial Blood Sugars, serum creatinine & blood urea (mg/dl) were increased significantly [p<0.001] and diminished serum magnesium (mg/dl) [p<0.001] in diabetic nephropathy when compared with the controls. Renal function is the major regulator of the serum magnesium level. Continues high levels of blood glucose and low magnesium leads to more distressing clinical complications in diabetic nephropathy. To European Jou nal of B ome ic l AND Pharmaceutical sciences http://www.ejbps. com ISSN 2349-8870 Volume: 2 Issue: 5 607-612 Year: 2015 Research Article ejbps, 2015, Volume 2, Issue 5, 607-612. SJIF Impact Factor 2.062
Energy Consumption Control with Transition Energy for Wireless Mobile Ad-hoc Network

— Energy consumption control in wireless mobile ad-hoc networks have been the focus of extensive research due to low energy capacity of network. Experimental results reveal that the energy consumption of wireless mobile ad-hoc network devices in an idle state is only slightly smaller than that in a transmitting or receiving state. Therefore, it is in general desirable to turn the radio off when it is not in use. When evaluating the effectiveness of energy consumption control techniques, it is important to consider whether the energy consumption model is realistic, particularly in its treatment of receiving. For the purpose of energy conservation, transitions between power management modes for each node are associated with a soft-state timer that is established in the network. Nodes that are not involved in data transmission may switch over to sleep state. Network life time is increased by reducing energy consumption of nodes during transition time. In this paper, NS2 simulator is used to analysis of energy consumption control with transition energy of nodes in wireless mobile ad-hoc network