Miracle-dz/UniFAR-FTUs huggingface dataset:
A Scrutiny of detecting Salient Objects in Digital Images

:-This paper presents a review of various object detection techniques. Object Detection will localize the objects in the digital image or in the video. It is beneficial when the object is not in the centre of image or is of size different from the other object’s size. Object detection is useful for face detection, detecting objects in cctv camera and in vehicular adhoc networks. This paper explores the various techniques for efficiently extracting the object from digital images ends up with the short comings of the existing techniques.
The Role of Probiotic Lactobacillus in Immune Regulation and Modulation of the Vaginal Microbiota During Pregnancy

Preterm birth (PTB) occurs in 10% of all pregnancies globally. Premature babies have a mortality rate 40 times higher than term infants. Approximately 25-30% of PTB can be attributed to intrauterine infection/inflammation. A disturbance of the vaginal microbiota as observed in bacterial vaginosis (BV) is associated with an increased risk of PTB. Treatment of preterm labor with antibiotics is largely ineffective, and probiotic lactobacilli have been proposed as a potential preventive therapy for BV and PTB. The objectives of this thesis were to assess 1) the effect of Lactobacillus rhamnosus GR-1 (GR-1) and its supernatant (GR-1 SN) on the prevention of lipopolysaccharide (LPS)-induced PTB and systemic and intra-uterine cytokine and chemokine profiles in pregnant CD-1 mice, 2) the effect of GR-1 on the mouse vaginal microbiota, and 3) the effect of GR-1 and L. reuteri RC-14 on the cervico-vaginal cytokine profile and vaginal microbiota in pregnant women with an abnormal Nugent score. Pregnant mice were pre-treated with intra-peritoneal injections of
Optimized Way to Uncover Promising Customer Deeds Using CMAR

:-- By the disappearance of idyllic customer relationship and uninhibited bitterness in the nuptial and worldwide business, the Customer Relationship Management (CRM) has fully fledged to be topics of startled. CRM is a trade scheme engaged to comprehend, foresee and retort to the wants of an endeavour's contemporary and promising customers in order to grow the relationship value.As the promising customers are the grounds for the maturity of the enterprise, most of the datamining techniques propose associative classification to be an optimized way to uncover the promising customers deeds. But this associative classification still endures from the bulky set of mined rules and sometimes prejudiced classification since the classification is pedestald on only solitary high confidence.So in this paper we propose a data mining approach called Classification Basedon Multiple Association Rules(CMAR) by which huge data are mined efficiently,store,retrieve mined association rules efficiently and prunes rules efficiently with high classification accuracy and provide strong flexibility.Thus CMAR provides an optimized way to uncover the promising customers deeds.
Major depression and related factors among heroin users who received methadone maintenance treatment in Taiwan: a case control study

ABSTRACT Background: Mental health problems are common among illicit drug users. However, the interrelationship between depression and heroin use and the associated factors has not been fully investigated in Asian populations. This study explores the prevalence of current major depression and associated factors among heroin users receiving methadone maintenance treatment (MMT) in Taiwan. Methods: This case-control study included 583 heroin users entering the MMT program at Tsaotun Psychiatric Center in Taiwan. Socio-demographic characteristics, heroin-related problems and prevalence of major depression were assessed. The participants were divided into a depressive group and a non-depressive group. Multivariate logistic regression was used to identify the relationship between the variables and current major depression. Results: One-third (33%) of the participants reported current major depression. Severity of heroin dependence, needle sharing behavior, anxiety, lifetime suicide attempts, poor family support, and non-drug related criminal record were found to be independently associated with current major depression. Conclusion: In addition to the serious morbidity of major depression itself, other serious problems were related to depression. It is suggested that maintenance programs should screen patients for depression and provide appropriate psychiatric services to treat depression.
A Comprehensive Analysis of various techniques used for Sentiment Classification

— With the beginning of Web, various social media sites such as review websites, blogs, and community websites have been developed to gather the opinions of the user. This websites, blogs determine the sentiment or opinion of the user towards product or service. Recent survey conveys that online reviews of user have greater impact than offline reviews. People lean more on the opinions of the user. This paper presents a detailed analysis of approaches or techniques used in classification of sentiments. The paper describes various approaches of Machine learning and Neural network used for sentiment classification.
Experimental investigations to study the effect of butanol and pentanol addition in a jatropha oil methyl ester fuelled compression ignition engine

January-March 2016 665 JCPS Volume 9 Issue 1 Experimental investigations to study the effect of butanol and pentanol addition in a jatropha oil methyl ester fuelled compression ignition engine V.Rajasekar Department of Mechanical Engineering, SRM University, Kattankulathur-603203, India *Corresponding author: E-mail: rajasekar.v@ktr.srmuniv. ac.in, Tel91 44 27452270 ABSTRACT Research for getting alternate fuels for CI (Compression Ignition) engines is the subject of importance today. Blending of alcohol with biodiesel improves the engine performance and reduces the emissions. This article concentrates on the presentation of results of an experiment conducted on CI engine using Jatropha oil methyl ester blended with butanol and pentanol in the ratio of 70:30 by volume. Experiments are carried out using a single cylinder, 4 stroke, direct injection, water cooled diesel engine at five loads between no load to full load at a constant speed of 1500rpm. In the present work, standard diesel, neat jatropha oil biodiesel, jatropha oil biodiesel (70%) butanol (30%) (J70B30) and Jatropha oil biodiesel (70%) pentanol (30%) (J70P30) fuels are tested. The experimental test results showed that smoke opacity, nitrogen oxides emissions decreases while the carbon monoxide and hydrocarbon emissions increases with blended fuels. Also, there is an increase in the brake thermal efficiency and brake specific fuel consumption with alcohol blending.
Comprehending Single Server Queueing System with Interruption, Resumption and Repeat

-In the fast growing field of communication networks like Internet, Queueing models with interruption have an important role to play. Service interruption models studied in the literature include different types of service unavailability that may be due to server taking vacations, server breakdowns, customer induced interruptions, arrival of a priority customer etc. In this paper we consider a queueing model in three aspects: first, two random variables compete on the onset of interruption to decide whether to repeat or resume the interrupted service; second, no repair time is assumed if the decision is to repeat the service after the interruption and finally we assume reneging of customers during a service interruption.
Application of Fuel Cell in Power Plant to Reduce the Carbon-dioxide Emission

This article reviews the use of Molten Carbonate Fuel Cells (MCFC) in a natural gas or coal based power plant to capture CO2 from the exhaust of the gas turbine having an anode and a cathode section. In this, cathode section of Molten Carbonate Fuel Cells (MCFC) intakes the flue gases of gas turbine. Then CO2 is moved from the cathode to anode side, concentrating the CO2 in the anode exhaust. A steam generator is used then to recover the heat from this concentrating CO2 stream and sent to a cryogenic CO2 removal section. This arrangement ultimately show the potential to achieve a high carbon capture ratio, while taking the advantage from the introduction of the fuel cell, the power output increases and ultimately reduces the emission of major greenhouse gas. Keywords— MCFC, Cryogenic
Biomass, Efficiency of Nitrogen Conversion and Nitrogen Recovery in Millet Cultivars Under Nitrogen Fertilization

The objective of this study was to evaluate the production of green mass (GM), dry mass (DM), nitrogen contained (NC), bromatological composition, apparent nitrogen conversion efficiency (NCE), and apparent nitrogen recovery (ANR) of millet cultivars (ADR-500, ADR 7020 and LABH 70732) that received different doses of nitrogen (N) (0, 50, 100, 200 kg.ha -1 ). The experimental design was randomized blocks in a 3x4 factorial scheme (three cultivars and four N rates) with four replications. About biomass, only GM showed an interaction between N and millet cultivars. The DM production showed difference only between N doses. The NCE and ANR differed between N doses with decreasing mean values, due to the increase of nitrogen fertilization. The best conversion efficiency was 54.06 kg DM/kg N applied. The best rate of recovery of N occurred with the application of 50 kg N.ha -1 . The values of NC varied in the fertilized plots. NCE and ANR differed between millet cultivars. The bromatological composition variables did not differ as a function of the N doses evaluated. In the conditions of the present study, nitrogen fertilization did not influence the production and bromatological composition of millet cultivars. The three cultivars present satisfactory characteristics for use in ruminant feed.
Improved Particle Filter for Tracking Objects in Video

—The method of tracking objects in computer vision has been studied for years, but until now it has been considered an open problem. However, nowadays,there is a method to track objects but its effectiveness has been proven in many studies around the world. It is recognized as a State-of-the-art, Particle Filter. In this paper, we improved some points in the Particle Filter to increase the accuracy of the algorithm. Then, we use the common datasets to build the experimental evaluations with the result tables to demonstrate the effectiveness of the improvements in algorithms.
THE ROLE OF COAGGREGATION INHIBITORS IN ENHANCING THE ANTIBACTERIAL EFFECT OF IRRIGANTS INSIDE THE ROOT CANAL- AN IN VITRO STUDY USING CONFOCAL AND MOLECULAR PROBE ASSAY

Introduction: Root canal infections are polymicrobial. Coaggregation between bacteria in the root canal play a potential role in endodontic infection. The aim of this study was to investigate the antibacterial efficacy of 3% sodium hypochlorite and 2% chlorhexidine pretreated with coaggregation inhibitors against dual species biofilm of E.faecalis and F.nucleatum. Methods: Dentine samples from human uniradicular teeth contaminated with dual species bacteria of E.faecalis and fusobacterium. 300 samples were pretreated with 100 mM of coaggregation inhibitors (lactose, N-Acetyl-D-galactosamine, L-Arginine, L-Lysine) and disinfection was done with 3% sodium hypochlorite (NaOCl) and 2% chlorhexidine(chx). 15 samples were used as positive control with dual species biofilm. The remaining biovolume and bacterial quantification was analyzed using confocal microscopy and molecular probe assay – rt-PCR(Taqman probe). Results: A significant decrease in the percentage of biovolume and bacterial number after pretreatment with 100 mMol of L-Arginine followed by N-Acetyl galactosamine before 3% NaOCl disinfection compared to 3% NaOCl without pretreatment and positive control (no treatment). (p≤0.05) Conclusion: Coaggregation inhibitors enhanced the antimicrobial activity of 3% sodium hypochlorite and 2% Chlorhexidine. L-Arginine pretreatment before disinfection with 3% NaOCl showed the least percentage of bacterial volume and number of dual species of E.faecalis and F.nucleatum.
ACCURATE TRAJECTORY TRACKING WITH LOW POWER CONSUMPTION

An important feature of a modern mobile device is its ability to determine its current position.Many mobilelocation-aware applications require the sampling of trajectory data accurately over an extended period of time. However, continuous trajectory tracking poses new challenges to the overall battery life of the device, and thus novel energy-efficient sensor management strategies are necessary for improving the lifetime of such applications.we proposed the concept of Enabling the GPS will automatically plot the points on map and record the paths as a video. Recorded paths can be reused when they are needed. By using this we can save power.
Secure and Optimizing Routing Technique for MANETs

: Mobile ad hoc network (MANET) is a self-organizing, dynamic topology network formed by a collection of mobile nodes connected without wires. Network is not secure due to the mobility and dynamic nature of MANET. Because of its characteristics, it is more vulnerable to different types of attacks and security threats. So network should be secure against attackers. In MANET on demand routing protocols provide cost effective and scalable solutions for packet routing but the path generated by these protocols may deviate far from the optimal path because of the lack of knowledge about the global topology and the mobility of nodes. Routing optimality also affects network performance and energy consumption. In this work we propose efficient secure routing localized key management (ESR-LKM) protocol which can optimize the path dynamically to enhance performance and reduce energy consumption. The proposed path aware ESR-LKM algorithm finds the shortest path by reducing the number of hops. And to prevent attackers efficient key management and cryptography is used.
PHYTOCHEMICAL EVALUATION AND INITIAL TLC PROFILING OF TWO POTENTIAL INDIGENOUS MALE CONTRACEPTIVE PLANTS

Introduction: The Phytochemical Evaluation and Initial TLC Profiling of Two Potential Indigenous Male Contraceptive Plants Phyllanthus amarus (Schum and Thonn.) and Mucuna urens(Linn.) was carried out. The importance of contraception in sub-Saharan Africa cannot be overemphasized. Majority of currently existing contraceptive methods tend to focus on the female body as male contraceptive trials have always proved abortive. The purpose of this investigation is to screen and identify the phytocomponent(s) in these herbs with a view to isolate and further characterize them in order to better understand the pharmacognostic action of the phytocomponent(s). The following tests were employed in this investigation: Glacial acid test, Dragendroff’s test, Foam Test, Alkaline Test, Lead acetate test, Ferric Chloride test, Fehlings Test, Hydrocloric acid test and Borntrager’s test. TLC profiling was carried out using di-ethyl ether: methanol: water (16:1:4) for M. urens, P.amarus and chloroform: ethyl alcohol (16:1) to further evaluate the extracts. Results revealed the presence of cardiac glycosides, saponins, tannins, alkaloids, polyphenols and reducing sugar, in aerial parts of P. amarus and flavonoids, Tannins, Anthraquinones and Steroids in seed extract of M. urens. Rf values obtained ranged from 0.512 – 0.9 in the various solvent systems for the two herbs. Further isolation and characterization of these phyto components is being proposed. ejpmr, 2015,2(5), 47-56 SJIF Impact Factor 2.026
Bandwidth Expansion Mode Under Component Carrier based scheme in LTE Networks

This paper reflects the bandwidth expansion using component carrier scheme in LTE networks by using different OFDM’s i.e. bandwidth allocation algorithm and resource allocation algorithm are observed. Wireless cellular networks are an underlying for mobile phones, personal communication systems etc. There is a dramatic growth of wireless cellular networks in number of mobile phones. As a result, there is a significant increase in base station power consumption and data requirements. In competitive cellular industry, the power consumption in the base station has therefore become a major challenge to the vendors. Through component carrier based scheme the energy efficient LTE networks can be realized and energy efficiency can be improved to some extent through component carrier based scheme
Review of Twitter sentiment analysis

Twitter data has recently been considered to perform a large variety of advanced analysis. Analysis of Twitter data imposes new challenges because the data distribution is intrinsically sparse, due to a large number of messages post every day by using a wide vocabulary. Sentiment Analysis task is divided in two steps: Feature selection methods and Sentiment classification methods. Feature selection methods aims at selecting appropriate words from the text used for sentiment analysis. Sentiment classification methods are classified as machine learning methods, lexicon based methods and hybrid methods. Each method is having its own limitations. The paper mainly focuses on the twitter sentiment datasets and tools which are freely available for research purposes.
Nanoparticles from Plant Saponins as Delivery System for Mucosal Influenza Vaccine

This article were studied nanoparticles assembled purified influenza virus hemagglutinin and neuraminidase antigens and low toxicity immunostimulating saponins Gg6 and Ah6, isolated from Kazakhstanian plants G.glabra and A.hippocastanum, in the animal vaccination/challenge experiments as delivery system for mucosal influenza subunit vaccine. Incorporation of influenza virus HA and NA antigens into the structure of nanoparticles significantly increased IgG, IgM and IgA antibody immune responses as well as production of IFNgamma and IL-2 after single intranasal immunization. Mucosal immunization with nanoparticles possessed HA+NA antigens and saponins Gg6 or Ah6 resulted much better protection of chickens against challenge of highly pathogenic H7N1 avian influenza virus in comparison with immunization of whole virus inactivated vaccine or vaccine mixed with alum hydroxide adjuvant.
An Animatronic System Based on Pick and Place Robotic Hand in Food Industry

The use of robotics is becoming more popular in recent years. The trend seems to continue as long as the robotics technology meets diverse and challenging needs of the food producers. Rapid developments in digital computers and control systems technologies have significant impact in robotics like any other engineering fields. By utilizing new hardware and software tools, design of these complex systems that need strong integration of distinct disciplines is no longer difficult compared to the past. Research on robot hand design is being carried out to accommodate a variety of tasks such as grasping and manipulation of objects in the field of industrial applications, service robots and rehabilitation robots. A special gripper is designed to pick and place the biscuits tray with flexibility. We propose a design of a vehicle. The robot is capable of picking unbaked biscuits tray and places them into furnace and then after baking it picks the biscuits tray from the furnace.
Test-bolus versus bolus-tracking in the timing of hepatic arterial phase at contrast-enhanced magnetic resonance imaging in patients with hepatocellular carcinoma

Aim: To evaluate test-bolus versus bolus-tracking in the timing of hepatic arterial phase at contrast-enhanced magnetic resonance (MR) imaging in patients with hepatocellular carcinoma (HCC). Methods: Eighteen patients with HCC were scanned by contrast-enhanced MR imaging with a delay time for the hepatic arterial phase calculated by test - bolus (n=9 patients) or bolus – tracking (n=9 patients). Results: Test-bolus and bolus-tracking techniques did not differ in SNR (301.2 ± 154.54 vs. 330.77 ± 240.75; P=0.89) and CNR (24.5 ± 18.74 vs. 19.24 ± 13.67; P=0.89). Conclusions: Test - bolus vs bolus - tracking did not differ in the timing of hepatic arterial phase in patients with HCC.
Geographical and Energy Aware Routing Protocol for Wireless Sensor Networks

: A Wireless Sensor Networks (WSNs) which typically consists of a large number of wireless sensor nodes formed in a network fashion, is deployed in environmental fields to serve various sensing and actuating applications. Many routing, power management, and data dissemination protocols have been specially designed for WSNs. The focus has been given to the routing protocols which might differ depending on the application and network architecture. In this paper, we propose an energy efficient data forwarding protocol called Energy Aware Geographic Routing Protocol (EAGRP) for wireless sensor networks to extend the life time of the network. We simulated network sizes from 25 to 200 nodes for variable thresholds of energy level. We categorized our simulation on the basis of threshold of energy level, scalability, and different number of source nodes. Our simulation results indicate that the proposed algorithm gives better performance in terms of higher packet delivery ratio, throughput, energy consumption, delay, and routing traffic overhead.
Fibre Reinforced Pervious Concrete Using Banana Fibre

Pervious concrete is a composite material consisting of coarse aggregate, Portland cement and water. It is different from conventional concrete in that it contains no fine aggregate in the mixture. The result is a concrete with high percentage of interconnected voids that, when functioning correctly permits the rapid percolation of water through the concrete. Pervious concrete is used in parking areas, residential streets, pedestrians ’walkways etc. It is an important application for sustainable construction. The project aims at studying the engineering properties and prove the importance of banana fibre reinforced pervious concrete in ground. Tests like compression test, split tensile strength test and permeability tests are carried out on test specimens with different percentages of banana fibres and the properties will compared with that of plain pervious concrete samples.
Schemes for Distributed Computing Environment Based on Cloud Computing Technology for Ministry of Regional Municipalities and Water Resources (MRMWR) Oman

- This work developed two Schema for distributed computing environment based on cloud computing technology to organize a dynamic load balancing in complex virtual computing . As well as analyzed and discussed problems, characteristics, architectures and applications of various approaches to building the operating environment for user access and for running applications in a distributed computing environment based on cloud computing technology. The aim of this work is to improve the efficiency of distributed computing in the cloud system, to introduce an approach to represent the operating environment for the organization of secure user access to computing control and development principles that run demanding applications in a distributed computing environment based on cloud computing technology. To achieve this goal, new methodology have been developed for running applications in the cloud, allowing to increase the overall performance of heterogeneous software and hardware systems . The designed method allows organizing an effective computer system that allows for dynamic balancing of computing nodes of the cloud computing environment due to migration processes, not data .