Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis for Iris and Periocular Recognition in Unconstraint Biometrics

The security and safety concern, being more important worldwide, has been encouraging utilization of biometrics systems. Seeing the numerous advantages over the unconstrained (non-cooperative) biometrics over the traditional way of biometrics, former has attracted the researcher attentions recently. There are various biometrics traits like face, iris and their extended form of unconstrained way of capturing data from subject has put so many challenges in biometrics application. Recently, periocular recognition has been proved to be a useful trait for authentication and verification purpose. In this paper, we have presented parameter analysis of periocular dataset using various pattern recognition techniques to test their effectiveness in unconstrained environment. The main goal of this research work to investigate the techniques of periocular biometrics in unconstrained situation to achieve non-cooperative biometrics.
Multimodal Person Authentication using Qualitative SVM with Fingerprint, Face and Teeth Modalities

- Multimodal biometrics systems are becoming increasingly efficient over the unimodal system, especially for the securing handheld devices. However, the challenge with this authentication system is the relative degradation of the biometric modalities involved in the development and test data respectively. To overcome this problem, in this paper we propose a novel Qualitative Support Vector Machine (SVM) classifier with Face, teeth, and fingerprint as biometric traits. The test scores of individual modalities are adjusted according to their relative quality and then passed to binary SVM classifier. The experiments were conducted over a database collected from 20 individuals with three instances of all the three traits. The performance analysis of the fusion techniques revealed that the Equal Error Rates (EER) of 1.22%, 1.46%, and 1.88% for the qualitative SVM, raw score SVM and weighted summation rule classifiers respectively. On the other hand, the equal error rates for unimodal systems are 7.4%, 5.09% and 4.6% for teeth, face and fingerprint biometrics traits respectively. Hence, we confirmed that the proposed qualitative SVM method outperformed other raw score fusion techniques and unimodal classifiers.
Implementation of Aggregated Approach of Extracting Evidences to Detect Ranking Fraud

: These days everybody is utilizing advanced cells. There is need of different applications to be introduced on advanced mobile phone. To download application advanced mobile phone client needs to visit play store, for example, Google Play Store, Apples store and so on. At the point when client visit play store then he can see the different application records. This rundown is based on the premise of advancement or advertisement. Client doesn’t know about the application. So user looks at the list and downloads the applications. Some of the time it happens that the downloaded application won’t work or not valuable. That implies it is fraud in mobile application list. To stay away from this fraud, we are making application in which we will list the applications. To list the application first we will locate the dynamic time of the application named as leading session. We are contributing three sorts of proofs: Ranking based confirmation, Rating based confirmation and Review based proof. Utilizing these three confirmations at long last we are ascertaining total. We assess our application with genuine information gathered frame play store for long time period.
Technique for Extracting Subpart from UML Sequence Diagram

— Software visualization is one of the promising technique aimed at helping developers and testers to understand the behaviour of object-oriented systems effectively. However, it is still difficult to understand this behaviour, because the size of automatically generated model diagrams tends to be beyond the analyze capacity. In this paper, a novel methodology to ease the problem of software visualization has been proposed, that uses the concept of slicing UML diagrams and model based slicing technique.
AESC Technique For Scalable Face Image Retrieval.

— Now a day’s photos with people are major interest of users. Thus, large scale content-based face image retrieval is an enabling technology. In this work, we aim to utilize automatically detected human face attributes that contains semantic cues of the face photos, it improve content based face retrieval by constructing semantic code words for efficient large scale face retrieval. Mainly we propose two methods named Attribute-Enhanced Sparse Coding and Attribute Embedded Inverted Indexing. These two methods will improve the face retrieval in the online and offline stages.
Bandwidth Enhancement in CPW Fed Rectangular Patch Antenna by Modified Ground Structure

† This paper presents a novel compact CPW fed patch antenna operating in broadband from 2.6 GHz- 9.1 GHz. The antenna is compact with dimensions 30 x 32 x 1.6 mm 3 , built over FR4-epoxy substrate ( 0 r =4.4). Bandwidth enhancement has been achieved by using the concept of modified ground structure (MGS). The structural design of the antenna has been optimized by CST MWS. The proposed antenna is able to operate well in various wireless communication applications such as 5.725 GHz- 5.825 GHz WLAN IEEE 802.11 g/a, 3.5/5.5/ 5.8 GHz Wi-Fi, Wi-MAX bands at 3.4 - 3.69 GHz, and 5.25 - 5.85 GHz bands, lower UWB band from 3.1-9.1 GHz. The measured results show that gain of antenna is maximum 4.9 dBi at 8 GHz. The proposed antenna performance is analyzed in terms of reflection coefficient, radiation characteristics, current distribution and gain .
Genetic variation in (Artemisia capillaries) using RAPD and ISSR markers

Artemisia capillaris (Thunb.) commonly known as wormwood or sagebussh is under-exploited plant. Genetic variation between A. capillaris was evaluated using random amplified polymorphic DNA (RAPD) and inter simple sequence repeats (ISSR) markers. Among these markers, RAPD primers generated 291 amplification products of which 108 were polymorphic and ISSR markers produced 283 amplification products, out of which 54 were polymorphic. RAPD fingerprinting detected more polymorphic loci (95.60%) than the ISSR fingerprinting (66.67%). Similarity, index values ranged from 0.1579 to 0.8189 (RAPD), 0.5686 to 0.9016 (ISSR) and 0.3933 to 0.8468 (combined RAPD and ISSR) and mean similarity index value of 0.4739, 0.7457 and 0.6174 for RAPD, ISSR and combined (RAPD and ISSR) data, respectively. RAPD and ISSR marker systems were found to be useful for the genetic diversity studies in A. capillaris and to identify the variation.
OPTIMIZATION IN MRI BIAS CORRECTION USING RETROSPECTIVE METHOD

In this project the retrospective method is used, by exploiting local image region statistics and we presented a set method for segmenting images with intensity inhomogeneity. Our method combines the information from the neighboring pixels belonging to the same class, which equips it with a strong capability to separate the desired object from its background. Using this proposed method, the MRI bias correction has been done. KeywordsRetrospective method, MRI, Bias correction, Segmentation, Inhomogeneity
Occurrence and diversity of Vibrios on lettuce irrigated with wastewater in

Pathogenic Vibrios has emerged as a serious and glo bal threat to human health. The research investigat es occurrences and diversity of Vibrios species on let tuce and wastewater from Jakara canal that is used to irrigate it.Samples culturedby incubation in alkaline pepton e water (APW) and cultured on thiosulfate-citrate-b ile-sucrose (TCBS; Merck) agar. Pigmented colonies were Grams’ stained, tested for oxidase, catalase, motility, an d indole, cholera red, salt tolerance in (0%, 3%, 6%, 8% and 10% (NaCl) and glucose, sucrose, lactose and arabin ose fermentation tests and antibiotics susceptibility p rofiles were determined. V. cholerae was detected i n 11.27% of samples, while V. paraheamolyticus was detected in 12.68%, V. damsel was much less, had 1.41% all of l ettuce samples. Similarly, V. fluvialis and V. mimicus wer e detected each in 2.82% of wastewater. Vibrios spe cies were detected much higher on lettuce than wastewater but no statistical significance (P > 0.05) was observe d.Fifty percent (50.00%) of V. cholrae detected from lettuc were resistant to pefloxacin and while V. fluvial is, V. hollisae and V. mimicus were more resistant to nalidixic aci d 66.66%, 43.86% and 28.57% respectively. Resistant by V. vulnificus, V. fluvialis, V mimicus and V. paraheam olyticus to ampicilin (33.33%, 33.33%, 25.00% and 1 6.66% respectively) was also observed. The antibiotic sus ceptibility patterns were quite similar, and showed statistical significance, at both (P < 0.05) and (P < 0.01) pro bability levels. Multi-drug resistance was equally observed among all isolates. Theresult demonstrates diverse Vibrio species present in lettuce and wastewater wa s resistant to antibiotics that should be sensitive to, traditiona lly. The diversity and resistant patterns were quit e a challenge to clinical and public health in future control of Vib r o specie targeted approach.
Indoor Pedestrian Tracking System Using Smartphone

----Buildings nowadays have become very complicated which increases the need for a solution that helps offices tracking people for safety and security. One of the active solutions that address the above mentioned issue is the indoor tracking systems. Traditional camera based indoor tracking is static and tedious task. As the smartphone become an integrated part of human daily life with its capability of connecting to Wi-Fi network together with its inertial sensors can be used as a tool in tracking systems. The Global Position System (GPS) are commonly used for tracking in outdoor environment and are not accurate in indoor environment. The idea of the proposed system is to exploit the Wi-Fi access points, inside the building, together with smartphone accelerometer sensor for constructing accurate and reliable indoor pedestrian tracking system which lets the building administrator to watch and track pedestrians, carrying smartphones, wherever they move inside the building. Also, it is preferable that a user track path is sketched on real building map presented at the administrator monitor screen. This work consists of offline phase which is responsible for recording Wi-Fi fingerprint, while an online phase is used to determine and track user locations. This work mainly depends on Wi-Fi fingerprinting technique for locating the user in the building. But due to the instability of Wi-Fi signal, the localization task does not provide sufficient accuracy for spotting a correct user tracking path. To overcome from such localization insufficient accuracy, the proposed system exploited a matrix, constructed during offline phase that offer a legible path between building locations, and used to reform the correct path.
Assessment Of Anti Tuberculosis Drugs Induced ADRs Among In Patients Of TB Ward In Tertiary Care Teaching Hospital

Background: Tuberculosis(TB) is the airborne communicable disease caused by Mycobacterium tuberculi. which has been one of the common disease affecting human communities. Other than disease related complications there are serious ADRs to the ATT. Objectives: The main objectives of study was to evaluate the ADRs induced by ATT drugs and also assess causality and severity and informing to PvPI for signal generation and management was provided. Materials and methods: A study was conducted for 7months at a tertiary care teaching hospital (Mar-Sep) 2019 at SVRRGH hospital Tirupati. Patients who developed at least 1ADR were taken as study subjects. Detection and monitoring of these ADRs was done by interviewing the patients.ADRs were then checked for causality and severity by using Naranjo and Hart wig questionaries respectively. Results: During the study period 184 patients were admitted in pulmonology ward out of them 70 patients developed 80 ADRs. More number of ADRs were observed in males (57) than females (13). Most common ADR was found to be Gastritis (30) followed by hepatitis (13) then they are classified according to system wise. Causality assessment by Naranjo scale has definite 35%,propable 62.5%,possible 2.5%. Hartwig showed Mild were 31.25%,moderate 40%, severe were 28.75% reported. p value found to be <0.05(0.03). Conclusion: The present study highlighted the importance of developing strategies to decrease the occurrence ADRs. Early detection of ADRs can be achieved by vigilance programme and proper counselling.As a clinical pharmacist we have the liability to support the patient during the period of ATT therapy.Furthermore strategies are in need of development to improve the patient compliance and therapeutic outcome.
A L-K Equation is Implemented for Reducing Baseline Effect in UC-FinFET and Utilise Fluctuated Intrinsic LER

This document tells about how to maintain constant Pulse current response and force of fin line-edge on the built-in variation of unconstructive capacitance in FinFETs by atomistic simulation attached with the Landau-Khalatnikov equation. We reduce baseline effect by using L-K equation. We narrative a feedback criterion stemming from the internal voltage amplification inherent in the unconstructive capacitance of voltage controlled Circuit. This feedback mechanism results in the superior protection to Fin-LER induced operating-voltage and internal processing-movements variations for Unconstructive-FinFETs as compared with the FinFET counterparts. This revision may provide insights for Circuit designs using unconstructive capacitance FETs.
Microbial Identification and Classification-From Phenotypic Evaluations to Molecular Characterization

Since the invention of the microscope and the discovery of microorganisms in the 17th century [1], the study of microorganisms and the field of microbiology research have come a long way from the traditional observations of their phenotypic properties/characteristics. Phenotypic characteristics of interest in the characterization and identification of microbes include morphologic characteristics of both individual cells and groups of cells /colony (cell size, shape and structures), growth characteristics, cellular metabolism and biochemical characteristics [2]. Advances in the techniques used to identify microorganisms have often led to improved microbial classification in research and diagnosis [3,4].
Energy-Aware Scheduling Using Workload Consolidation Techniques in Cloud Environment

: In cloud computing, a cloud is a managed pool of resources which provide on-demand services or computational resources to the remote users over a network. The resources are provided to users in the form of virtual machines and are possibly distributed and heterogeneous, running on the cloud environment over Internet. Energy-aware Scheduling algorithm and Energy-aware Live Migration algorithm reduces energy consumption in cloud environment. Both Algorithm use workload consolidation Techniques to make full use of the resources and investigate the problem of consolidating heterogeneous workloads and try to execute all Virtual Machines (VMs) with the minimum amount of Physical Machines (PMs), then power off unused physical servers to reduce power consumption. Energy-aware Scheduling Algorithm, Randomly turn on a physical server which is in sleep mode to active mode and place the VM to server. Energy-aware live Migration, VMs on underused physical servers to those which are mostly fully used that should be migrated to other unused physical server and is to optimize the current VM allocation and to migrate VMs. Multi-dimensional resources taken into consideration when placing VM and considering heterogeneous workloads. Both algorithms efficiently utilize the resources, and the multidimensional resources have good balanced utilizations, gives their promising energy saving capability.
A review of fresh produce outbreaks, current interventions, food safety concerns and potential benefits of novel antimicrobial sodium acid sulfate

This article provides a comprehensive literature review of the growing significance that foodborne pathogens have on the produce supply and the steps that are taken to reduce them. The numbers of illnesses that are caused by contaminated produce are rising steadily. Three of the most common pathogens that have been seen to cause significant illness in humans through produce are Escherichia coli, Salmonella spp. and Listeria monocytogenes. The antimicrobial interventions, practices and antimicrobials that are currently the most commonly used by the food industry are examined. The literature shows that these antimicrobials currently in use have significant drawbacks when it comes to their role in the produce industry. Sensitivities to temperature and organic load and the production of harmful by products are some of these drawbacks. There is a need for a new antimicrobial that can be used in the produce processing industry. One that maintains its efficacy through the temperature, pH, and organic load changes that are experienced during produce processing. Sodium acid sulfate is a potential contender for this role. It has not previously been used or extensively studied as an antimicrobial, but is already deemed generally recognized as safe (GRAS) product by the Food and Drug Administration (FDA). The use of an antimicrobial that can withstand the varying conditions that the produce industry constantly has is imperative to reducing the number of foodborne illness caused every year by contaminated produce.
VARIOUS APPROACHES TOWARDS ENHANCEMENT OF BIOAVAILABILITY OF CURCUMIN – A POTENT PHYTOCHEMICAL

Herbal medicine is the oldest form of health care known to mankind. Turmaric (Curcuma longa Linn), a nature’s precious and most popular Indian spice belonging to family zingiberaceae is cultivated throughout the Indian sub continent because of its excellent medicinal properties. Curcumin is a specially gifted molecule provided by Mother-Nature to protect humans from chronic health problem. Although curcumin has shown therapeutic efficacy against many human ailment, one of the major problems with the curcumin is its poor bioavailability, which appears to be primarily due to poor absorption, rapid metabolism and rapid systemic circulation. Nanotechnology is an innovative idea that can be used to overcome the problems associated with curcumin solubility, stability and bioavailability. In this review, the various problems, methods of preparation, various types of curcumin nano-drug delivery system of curcumin nanoparticles and its novel approach are discussed. The introduction of gold and silver nanoparticles, Liposomes, Niosomes and so on provides a solution towards increased bioavailability of curcumin. Design and development of herbal nanoparticles has become a frontier research in the nanoformulation arena. However, most of the known activities of curcumin are based only on in vitro and in vivo studies and this nanotechnology-based medicine may become a reality in clinical applications.
HIGHLY EFFECTIVE BUG TRIAGING WITH SOFTWARE PROGRAM INFORMATION REDUCTION TECHNIQUES

To reduce the time taken for bug triage text classification techniques are used. This paper, address the issue of information reduction for bug triage, i.e., how you can lessen the scale and improve the caliber of bug data. Software companies spend over 45 percent of cost in working with software bugs. An unavoidable step of fixing bugs is bug triage, which aims to properly assign a developer to a different bug. Combining instance selection with feature selection is to concurrently reduce data scale around the bug dimension and also the word dimension. To look for the order of using instance selection and feature selection, attributes are extracted from historic bug data sets and a predictive model is made for any new bug data set. Our work provides a technique for leveraging techniques on information systems to create reduced and-quality bug data in software development and maintenance.
Document Classification and Clustering using Feature Extraction for Similarity Measure

: The similarity between documents are the new innovative concept now days in data mining and information retrieval. Standard text similarity measures perform poorly because of data sparseness and the lack of context. In text processing, bag of words model is used. Measuring the similarity between documents is a main task in the document processing and text classification. To compute the similarity between two documents with respect to a feature, the proposed measure takes the following cases into account a) The feature present in both documents, b) the feature present in only one document, and c) the feature that appears in none of the documents. For first one, similarity increases as the difference between the two involved feature values decreases. For second, a fixed value is contributes to the similarity. For last, the feature has no contribution to similarity. The effectiveness of measure will be evaluated on several real world data sets for document classification and clustering. In context of clustering and retrieval of text data, system provides a fine classification of data set. This system performs creation of flat clusters, pre-processing (text feature extraction) and data point representation (normalization, filtering, tokenization etc.) This system achieves reduction in noisy data that helps for more accurate classification of data sets as flat clusters. Use of hierarchical clustering in this system gives high level accuracy and classification of data.
The status of Lewis Glacier of Mount Kenya and the threat to Novel microbial communities

The disappearance of African glaciers is of great concern. Most important is the status of Lewis glacier, the smallest glacier in Africa that is rapidly melting. Lewis glacier is a well-documented tropical glacier that experiences a rapid retreat establishing deglaciated foreland. The steep elevation and lack of accumulation layer for Lewis glacier is a possible factor to the rapid loss of its content. The greatest concern is the microbial communities that are lost through the flowing glacier material. The psychrophilic microbes of the glacier are lost in the supraglacial and subglacial to the glacier melting points. The glacier melt, however, creates a deglaciated terrestrial foreland that is recolonized by bacteria, fungi and vascular plants. Most of the foreland community structures are dynamic and differ from the glacier ecology due to various microbial activities including nutrient cycling and mineralization of the rocks. These geochemical process make the glacier foreland to be a chronological ecosystem with spatial biodiversity. The primary foreland is colonized by the bacteria, that prepare the habitat for the saprophytic and mycorrhizal associations. Most of the plants, especially the Senecio keniophytum form symbiotic association with some of the nitrogen fixing microorganisms. The ecological change from glacier ecosystem to foreland soil totally creates a new ecosystem with spatial biodiversity that need to be fully investigated for informative conclusions. * Corresponding Author: Josiah Ochieng Kuja  kujahjos@gmail.com Open Access REVIEW PAPER