Contour Fractal Dimension Analysis using Square-Box ROI Extraction Approach with Convolution Neural Network Classifier for Palmprint Recognition System

Contour Fractal Dimension Analysis using Square-Box ROI Extraction Approach with Convolution Neural Network Classifier for Palmprint Recognition System (CFDCNNNet) is proposed. To bring about the originality, Contour Fractal Dimension (CFD) feature extraction approach and a Convolution Neural Network (CNNNet) classifier approach are employed. To impart the novelty the CFD feature extraction approach, Two Dimensional-Palmprint Region of Interest (2D-PROI) is captured from five different datasets using Square-Box ROI Extraction approach and point out all the edges/contours of 2D-PROI image (CPI) using Canny edge detection algorithm and then estimate the Fractal Dimension (FD) values using Box-Counting algorithm to create a distinctive feature vector. Classify this feature vector using Convolution Neural Network (CNNNet) classifier approach to identify the authorized person at a higher accuracy rate. This research explores on five different datasets such as CASIA, IITD, BMPD, SMPD and multi--spectral 2D-PROI image databases. The CFDCNNNet System model has been determined the authentication accuracy of different datasets with 98.66% of authentication accuracy

CHITOSAN: A REVIEW ON ITS VARIED NOVEL THERAPEUTIC AND INDUSTRIAL APPLICATIONS

Chitosan and its nanoparticles, which are being studied extensively to understand their varied and unique functional properties, have attracted considerable interest due to their biological activities and potential applications in the food, pharmaceutical and environmental industries. This review focuses on the biological activities of Chitosan and its nanoparticles, based on others’ latest research results, including antitumor and anticancer effects, antimicrobial, wound healing activities, food preservative and so on, which are all correlated with their structural and physiological properties. The objective of this review is to give in-depth and comprehensive insights into the functionality of chitosan and its nanoparticles and a study of their inherent industrial and therapeutic applications.Key words- Chitosan, nanoparticles, wound healing, antitumor, antimicrobia

Offshore Wind Feasibility Study in India

Offshore wind provides a scalable alternative to conventional energy resources. This chapter provides an insight into various activities of Ministry of Earth Sciences for the realization of offshore wind in India. To understand the hurdles in policy frame work for offshore wind, the evolution of onshore wind policy is analyzed and suitable strategies for offshore wind are proposed. Wind resource assessment results indicated a high offshore potential at Kanyakumari, Rameshwaram, Gulf of Khambhat, and Gulf of Kutch. Commercial viability studies showed levelized cost of electricity (LCOE) of around Rs 10/kWh at identified sites for an internal rate of return (IRR) of 14%. Offshore light detection and ranging (LiDAR)-based data collection platform has been installed at Gulf of Khambhat and Kutch to obtain bankable wind data for the development of offshore wind farms. A preliminary design of substructure by exploring different concepts like monopile, jacket, and gravity-based foundations was carried out based on their suitability for site-specific environmental and soil data. The port facilities along Gujarat and Tamil Nadu coast were assessed, and installation methodology was developed considering marine spread along the Indian coast

EFFICIENCY GAIN OF REDUCED RIPPLE CURRENT WITH ZVS DC-DC CONVERTER

The force era market, has indicated clear development. Be that as it may, a high voltage and productivity increase is key for the power module and PV board and for different machines. The high step –up converter in the proposed converter gives swell free information current. The full scaffold converter gives high voltage pick up. An APWM Full Bridge Boost converter are generally utilized as a part of utilization where the yield voltage is extensively higher than the info voltage. Zero Voltage Switching(ZVS )is commonly executed in the switches.ZVS APWM DC-DC Full extension converter that does not have any downsides of that different converters of this sort have, for example, entangled auxillary circuit,. increased current anxiety in the primary force switches and the heap subordinate ZVS operation. In this proposed strategy an interleaved procedure of Boost and Full Bridge converter is used..The diverse methods of operation of MOSFET has been talked about.. Besides converter has high proficiency due to delicate exchanging operation in switches. A 24V information voltage, 350V yield voltage, and 168W yield power reproduction circuit of the proposed converter has been executed and its effectiveness is up to 87.5%

A novel onset detection technique for brain?computer interfaces using sound-production related cognitive tasks in simulated-online system

Objective. Self-paced EEG-based BCIs (SP-BCIs) have traditionally been avoided due to two sources of uncertainty: (1) precisely when an intentional command is sent by the brain, i.e., the command onset detection problem, and (2) how different the intentional command is when compared to non-specific (or idle) states. Performance evaluation is also a problem and there are no suitable standard metrics available. In this paper we attempted to tackle these issues. Approach. Self-paced covert sound-production cognitive tasks (i.e., high pitch and siren-like sounds) were used to distinguish between intentional commands (IC) and idle states. The IC states were chosen for their ease of execution and negligible overlap with common cognitive states. Band power and a digital wavelet transform were used for feature extraction, and the Davies?Bouldin index was used for feature selection. Classification was performed using linear discriminant analysis. Main results. Performance was evaluated under offline and simulated-online conditions. For the latter, a performance score called true-false-positive (TFP) rate, ranging from 0 (poor) to 100 (perfect), was created to take into account both classification performance and onset timing errors. Averaging the results from the best performing IC task for all seven participants, an 77.7% true-positive (TP) rate was achieved in offline testing. For simulated-online analysis the best IC average TFP score was 76.67% (87.61% TP rate, 4.05% false-positive rate). Significance. Results were promising when compared to previous IC onset detection studies using motor imagery, in which best TP rates were reported as 72.0% and 79.7%, and which, crucially, did not take timing errors into account. Moreover, based on our literature review, there is no previous covert sound-production onset detection system for spBCIs. Results showed that the proposed onset detection technique and TFP performance metric have good potential for use in SP-BCIs

Successful mass production of Three spot damselfish through captive breeding

The captive breeding technology for twenty three marine ornamental species have been developed by ICAR-CMFRI, which includes Clownfishes, Damsels, Fire fish, Dotty back, Anthias etc. The breeding and larval rearing of clownfishes is comparatively easy while the same for damselfishes is difficult because of the difference in live feed requirements

Physics Potential of the ICAL detector at the India-based Neutrino Observatory (INO)

The upcoming 50 kt magnetized iron calorimeter (ICAL) detector at the India-based Neutrino Observatory (INO) is designed to study the atmospheric neutrinos and antineutrinos separately over a wide range of energies and path lengths. The primary focus of this experiment is to explore the Earth matter effects by observing the energy and zenith angle dependence of the atmospheric neutrinos in the multi-GeV range. This study will be crucial to address some of the outstanding issues in neutrino oscillation physics, including the fundamental issue of neutrino mass hierarchy. In this document, we present the physics potential of the detector as obtained from realistic detector simulations. We describe the simulation framework, the neutrino interactions in the detector, and the expected response of the detector to particles traversing it. The ICAL detector can determine the energy and direction of the muons to a high precision, and in addition, its sensitivity to multi-GeV hadrons increases its physics reach substantially. Its charge identification capability, and hence its ability to distinguish neutrinos from antineutrinos, makes it an efficient detector for determining the neutrino mass hierarchy. In this report, we outline the analyses carried out for the determination of neutrino mass hierarchy and precision measurements of atmospheric neutrino mixing parameters at ICAL, and give the expected physics reach of the detector with 10 years of runtime. We also explore the potential of ICAL for probing new physics scenarios like CPT violation and the presence of magnetic monopoles.Comment: 139 pages, Physics White Paper of the ICAL (INO) Collaboration, Contents identical with the version published in Pramana - J. Physic

Birthweight and risk markers for type 2 diabetes and cardiovascular disease in childhood: the Child Heart and Health Study in England (CHASE).

AIMS/HYPOTHESIS: Lower birthweight (a marker of fetal undernutrition) is associated with higher risks of type 2 diabetes and cardiovascular disease (CVD) and could explain ethnic differences in these diseases. We examined associations between birthweight and risk markers for diabetes and CVD in UK-resident white European, South Asian and black African-Caribbean children. METHODS: In a cross-sectional study of risk markers for diabetes and CVD in 9- to 10-year-old children of different ethnic origins, birthweight was obtained from health records and/or parental recall. Associations between birthweight and risk markers were estimated using multilevel linear regression to account for clustering in children from the same school. RESULTS: Key data were available for 3,744 (66%) singleton study participants. In analyses adjusted for age, sex and ethnicity, birthweight was inversely associated with serum urate and positively associated with systolic BP. After additional height adjustment, lower birthweight (per 100 g) was associated with higher serum urate (0.52%; 95% CI 0.38, 0.66), fasting serum insulin (0.41%; 95% CI 0.08, 0.74), HbA1c (0.04%; 95% CI 0.00, 0.08), plasma glucose (0.06%; 95% CI 0.02, 0.10) and serum triacylglycerol (0.30%; 95% CI 0.09, 0.51) but not with BP or blood cholesterol. Birthweight was lower among children of South Asian (231 g lower; 95% CI 183, 280) and black African-Caribbean origin (81 g lower; 95% CI 30, 132). However, adjustment for birthweight had no effect on ethnic differences in risk markers. CONCLUSIONS/INTERPRETATION: Birthweight was inversely associated with urate and with insulin and glycaemia after adjustment for current height. Lower birthweight does not appear to explain emerging ethnic difference in risk markers for diabetes

Babies of South Asian and European Ancestry Show Similar Associations With Genetic Risk Score for Birth Weight Despite the Smaller Size of South Asian Newborns.

Size at birth is known to be influenced by various fetal and maternal factors, including genetic effects. South Asians have a high burden of low birth weight and cardiometabolic diseases, yet studies of common genetic variations underpinning these phenotypes are lacking. We generated independent, weighted fetal genetic scores (fGSs) and maternal genetic scores (mGSs) from 196 birth weight-associated variants identified in Europeans and conducted an association analysis with various fetal birth parameters and anthropometric and cardiometabolic traits measured at different follow-up stages (5-6-year intervals) from seven Indian and Bangladeshi cohorts of South Asian ancestry. The results from these cohorts were compared with South Asians in UK Biobank and the Exeter Family Study of Childhood Health, a European ancestry cohort. Birth weight increased by 50.7 g and 33.6 g per SD of fGS (P = 9.1 × 10-11) and mGS (P = 0.003), respectively, in South Asians. A relatively weaker mGS effect compared with Europeans indicates possible different intrauterine exposures between Europeans and South Asians. Birth weight was strongly associated with body size in both childhood and adolescence (P = 3 × 10-5 to 1.9 × 10-51); however, fGS was associated with body size in childhood only (P < 0.01) and with head circumference, fasting glucose, and triglycerides in adults (P < 0.01). The substantially smaller newborn size in South Asians with comparable fetal genetic effect to Europeans on birth weight suggests a significant role of factors related to fetal growth that were not captured by the present genetic scores. These factors may include different environmental exposures, maternal body size, health and nutritional status, etc. Persistent influence of genetic loci on size at birth and adult metabolic syndrome in our study supports a common genetic mechanism that partly explains associations between early development and later cardiometabolic health in various populations, despite marked differences in phenotypic and environmental factors in South Asians

Report on cetaceans stranded in the Gulf of Mannar

A dead female dolphin identified as Spinner dolphin, Stenella longirostris (Gray, 1828) was found washed ashore at Dhanushkodi near Rameshwaram, Ramanathapuram district, Tamil Nadu along the coast of Gulf of Mannar (09.1836111 N; 79.4061111 E) on 24th August 202