Face Liveness Detection for Biometric Antispoofing Applications using Color Texture and Distortion Analysis Features

Face recognition is a widely used biometric approach. Face recognition technology has developed rapidly in recent years and it is more direct, user friendly and convenient compared to other methods. But face recognition systems are vulnerable to spoof attacks made by non-real faces. It is an easy way to spoof face recognition systems by facial pictures such as portrait photographs. A secure system needs Liveness detection in order to guard against such spoofing. In this work, face liveness detection approaches are categorized based on the various types techniques used for liveness detection. This categorization helps understanding different spoof attacks scenarios and their relation to the developed solutions. A review of the latest works regarding face liveness detection works is presented. The main aim is to provide a simple path for the future development of novel and more secured face liveness detection approach

Leprosy and tuberculosis concomitant infection: a poorly understood, age-old relationship

Historically, archaeological evidence, post-mortem findings and retro- spective analysis of leprosy institutions’ data demonstrates a high observed incidence of concomitant infection with leprosy and tuberculosis (TB). However, reports of concomitant infection in the modern literature remain scarce, with estimates of annual new case detection rates of concomitant infection at approximately 0·02 cases per 100,000 population. Whilst the mechanism for this apparent decline in concomitant infections remains unclear, further research on this topic has remained relatively neglected. Modelling of the interaction of the two organisms has suggested that the apparent decline in observations of concomitant infection may be due to the protective effects of cross immunity, whilst more recently others have questioned whether it is a more harmful relationship, predisposing towards increased host mortality. We review recent evidence, comparing it to previously held understanding on the epidemiological relationship and our own experience of concomitant infection. From this discussion, we highlight several under-investigated areas, which may lead to improvements in the future delivery of leprosy management and services, as well as enhance understanding in other fields of infection management. These include, a) highlighting the need for greater understanding of host immunogenetics involved in concomitant infection, b) whether prolonged courses of high dose steroids pre-dispose to TB infection? and, c) whether there is a risk of rifampicin resistance developing in leprosy patients treated in the face of undiagnosed TB and other infections? Longitudinal work is still required to characterise these temporal relationships further and add to the current paucity of literature on this subject matter

Spatial frequency based video stream analysis for object classification and recognition in clouds

The recent rise in multimedia technology has made it easier to perform a number of tasks. One of these tasks is monitoring where cheap cameras are producing large amount of video data. This video data is then processed for object classification to extract useful information. However, the video data obtained by these cheap cameras is often of low quality and results in blur video content. Moreover, various illumination effects caused by lightning conditions also degrade the video quality. These effects present severe challenges for object classification. We present a cloud-based blur and illumination invariant approach for object classification from images and video data. The bi-dimensional empirical mode decomposition (BEMD) has been adopted to decompose a video frame into intrinsic mode functions (IMFs). These IMFs further undergo to first order Reisz transform to generate monogenic video frames. The analysis of each IMF has been carried out by observing its local properties (amplitude, phase and orientation) generated from each monogenic video frame. We propose a stack based hierarchy of local pattern features generated from the amplitudes of each IMF which results in blur and illumination invariant object classification. The extensive experimentation on video streams as well as publically available image datasets reveals that our system achieves high accuracy from 0.97 to 0.91 for increasing Gaussian blur ranging from 0.5 to 5 and outperforms state of the art techniques under uncontrolled conditions. The system also proved to be scalable with high throughput when tested on a number of video streams using cloud infrastructure

Approach to Data Science with Multiscale Information Theory

Data Science is a multidisciplinary field that plays a crucial role in extracting valuable insights and knowledge from large and intricate datasets. Within the realm of Data Science, two fundamental components are Information Theory (IT) and Statistical Mechanics (SM), which provide a theoretical framework for understanding dataset properties. IT enables efficient storage and transmission of information, while SM focuses on the behavior of systems comprising numerous interacting components. In the context of data science, SM allows us to model complex interactions among variables within a dataset. By leveraging these tools, data scientists can gain a profound understanding of data properties, leading to the development of advanced models and algorithms for analysis and interpretation. Consequently, data science has the potential to drive accurate predictions and enhance decision-making across various domains, including finance, marketing, healthcare, and scientific research. In this paper, we apply this data science framework to a large and intricate quantum mechanical system composed of particles. Our research demonstrates that the dynamic and probabilistic nature of such systems can be effectively addressed using a Multiscale Entropic Dynamics (MED) approach, derived from the Boltzmann methods of SM. Through the MED approach, we can describe the system's dynamics by formulating a general form of the Nonlinear Schr\"odinger equation and how it can be applied to various systems with particles and quasi-particles, such as electrons, plasmons, polarons, and solitons. By employing this innovative approach, we pave the way for a deeper understanding of quantum mechanical systems and their behaviors within complex materials.Comment: 12 page

RECOGNITION AND REFINEMENT OF DISTORTED FINGERPRINTS

Although automatic fingerprint recognition technologies have rapidly advanced during the last forty years, there still exist several challenging research problems, for example, recognizing low quality fingerprints. Elastic distortion of fingerprints is one of the major causes for false non-match. While this problem affects all fingerprint recognition applications, it is especially dangerous in negative recognition applications, such as watch list and deduplication applications. In such applications, malicious users may purposely distort their fingerprints to evade identification. In this paper, we proposed novel algorithms to detect and rectify skin distortion based on a single fingerprint image. Distortion detection is viewed as a two-class classification problem, for which the registered ridge orientation map and period map of a fingerprint are used as the feature vector and a SVM classifier is trained to perform the classification task. Distortion rectification (or equivalently distortion field estimation) is viewed as a regression problem, where the input is a distorted fingerprint and the output is the distortion field. To solve this problem, a database (called reference database) of various distorted reference fingerprints and corresponding distortion fields is built in the offline stage, and then in the online stage, the nearest neighbor of the input fingerprint is found in the reference database and the corresponding distortion field is used to transform the input fingerprint into a normal one

Review on Shukradhara Kalaa and its applied aspect

According to Sushruta the Kalaa has been defined as interior receptacles for Dhatus and act as a separator for Dhatus from their Ashaya. They are inner most lining limit between Dhatu and Ashaya which are seven in number. In the series of Sapta Kalaa, Shukradhara Kalaa is seventh in number. Before we go for the applied anatomy of the Shukradhara Kalaa it becomes important to know where the Kalaa is situated or spreaded and so that we can understand the clinical importance of Kalaa. In classics it is been said that Shukradhara Kalaa is spreaded in entire body of the living being. For the applied aspect point of view for the understanding of Shukradhara Kalaa we should have knowledge of Shukravaha Srotas. So here we have to understand what are the structures involved in the formation of Shukravahava Srotas and its Moolasthana and Shukradhara Kalaa and their Anatomy, Pathophysiological changes in their respective structures and its management. So the collection and comphrensive review information regarding Shukradhara Kalaa is very significant

Loop dependence of the stability and dynamics of nucleic acid hairpins

Hairpin loops are critical to the formation of nucleic acid secondary structure, and to their function. Previous studies revealed a steep dependence of single-stranded DNA (ssDNA) hairpin stability with length of the loop (L) as ∼L8.5 ± 0.5, in 100 mM NaCl, which was attributed to intraloop stacking interactions. In this article, the loop-size dependence of RNA hairpin stabilities and their folding/unfolding kinetics were monitored with laser temperature-jump spectroscopy. Our results suggest that similar mechanisms stabilize small ssDNA and RNA loops, and show that salt contributes significantly to the dependence of hairpin stability on loop size. In 2.5 mM MgCl2, the stabilities of both ssDNA and RNA hairpins scale as ∼L4 ± 0.5, indicating that the intraloop interactions are weaker in the presence of Mg2+. Interestingly, the folding times for ssDNA hairpins (in 100 mM NaCl) and RNA hairpins (in 2.5 mM MgCl2) are similar despite differences in the salt conditions and the stem sequence, and increase similarly with loop size, ∼L2.2 ± 0.5 and ∼L2.6 ± 0.5, respectively. These results suggest that hairpins with small loops may be specifically stabilized by interactions of the Na+ ions with the loops. The results also reinforce the idea that folding times are dominated by an entropic search for the correct nucleating conformation

Design of e-shoe for Visually Impaired by Using RFID Technology

It is a known fact that blind people find it extremely difficult to detect their way through obstacles and stairs. Using a white stick to detect the obstacles had been an age old method, which cannot provide complete solution. In order to overcome this problem, an obstacle detecting shoe is developed. It senses the obstacle through ultrasonic sensors and alerts the user through the message. The ultrasonic waves transmitted are reflected by the obstacles and echo is received by the ultrasonic receiver, where the distance is calculated by using a microprocessor. The RFID system is used to assist the blind people. When the reader located on the shoe moves on to a specific tag, unique tag ID is sent to the reader. While in the case of walking in traffic, RF Link Transmitter/receiver is used for traffic signal detection and for passing instructions to the user through voice messages. A timer is used to detect the wet areas and helps the blind to avoid slippery.       

A RANDOMISED CONTROL STUDY TO COMPARE THE EFFICACY OF CEFUROXIME, CLARITHROMYCIN, AND LEVOFLOXACIN IN THE MANAGEMENT OF PAEDIATRIC UPPER RESPIRATORY TRACT INFECTION

Background: The upper respiratory infections cause considerable morbidity mainly in children due to the fact that they mainly affect children. Accordingly, a study was conducted on antibiotics to compare the effectiveness of clarithromycin, cefuroxime, and levofloxacin for treating upper respiratory tract infections (URTI) in children. Methods: A prospective observational study for a period of 6 months was conducted in the pediatrics department of RVM hospital. Outpatients under the age of 14 years given antibiotics for the treatment of URTI were included in the study. A total of 99 study subjects were included in the study, divided into three groups each containing 33 sample sizes (clarithromycin, cefuroxime, and levofloxacin). Patient data was collected using a form and verbal consent was obtained from patients/patient representatives, and drugs were given using the lottery method. Follow-up was done and noted for the 3rd, 5th, 7th day through telephonic calls, and the collected data were evaluated using statistical analysis. Results: Pool data from 99 patients shows that many patients belong to 0–5 years age groups (age distribution), and males were more than female (gender distribution). Clarithromycin (cure rate 3 days) and cefuroxime (cure rate 5 days) showed an equal rate of cure percentage (94%), while levofloxacin for 3–5 days with a 3% failure rate. A significant difference of p<0.05 (p=0.000) was observed and no adverse events were noted. Conclusion: The study findings showed, out of 3 drugs, clarithromycin and cefuroxime showed an equal efficacy rate of 94%, but clarithromycin showed shorter duration of outcome, i.e., 3 days. Hence, clarithromycin is effective than the other two drugs in the treatment of URTI

Biosynthesis of Silver Nanoparticles from Desmodium triflorum: A Novel Approach Towards Weed Utilization

A single-step environmental friendly approach is employed to synthesize silver nanoparticles. The biomolecules found in plants induce the reduction of Ag+ ions from silver nitrate to silver nanoparticles (AgNPs). UV-visible spectrum of the aqueous medium containing silver ions demonstrated a peak at 425 nm corresponding to the plasmon absorbance of silver nanoparticles. Transmission electron microscopy (TEM) showed the formation of well-dispersed silver nanoparticles in the range of 5–20 nm. X-ray diffraction (XRD) spectrum of the AgNPs exhibited 2θ values corresponding to the silver nanocrystal. The process of reduction is extracellular and fast which may lead to the development of easy biosynthesis of silver nanoparticles. Plants during glycolysis produce a large amount of H+ ions along with NAD which acts as a strong redoxing agent; this seems to be responsible for the formation of AgNPs. Water-soluble antioxidative agents like ascorbic acids further seem to be responsible for the reduction of AgNPs. These AgNPs produced show good antimicrobial activity against common pathogens