Comparision of Iris Identification by Using modified SIFT and SURF keypoint Descriptor

A wide variety of systems require reliable personal recognition schemes to either confirm or determine the identity of an individual requesting their services. The purpose of such schemes is to ensure that only a legitimate user, access the rendered service. A biometrics system is essentially a pattern recognition system, which makes a personal identification by determining the authenticity of a specific physiological or behavioral characteristic possessed by the user. Iris serves as one of the excellent biometric traits due to the stability and randomness of its unique features. After localization of the iris, Scale Invariant Feature Transform (SIFT) is used to extract the local features. But SIFT is found out to be computational complex.So in this paper another keypoint descriptor ,Speeded Up Robust Features (SURF), is tested and then modified which compare the performance of different descriptor and hence gives promising results with very less computations. We finally carry out a comparision of both the descriptors performance wise

Severe sepsis due to severe falciparum malaria and leptospirosis co-infection treated with activated protein C

Co-infection with falciparum malaria and leptospirosis is uncommon. The aim of this study is to report a case of severe sepsis secondary to dual infection with falciparum malaria and leptospirosis. The literature is also reviewed on the clinical course of such co-infections, and the possible mechanisms and treatment of patients with life-threatening malaria and leptospirosis with activated protein C. The patient was a 25-year old male admitted in the Respiratory Intensive Care Unit (RICU) with fever, haemolysis, acute renal failure, hepatitis, acute lung injury (ALI) and altered sensorium. A syndromic evaluation was done and investigations revealed falciparum parasitaemia. He was treated with parenteral artesunate, ceftriaxone and doxycycline, and adjunctive therapies as for severe sepsis. Infusion of activated protein C was started 20 hours after onset of organ dysfunction, and intensive haemodialysis was instituted. Over the next four days the patient became afebrile with progressive resolution of ALI, renal failure and hepatitis. His Leptospira serology (requested as part of the evaluation) was reported positive on day 5. Dual infections are common and under-recognized in the tropics. Failure to treat potential co-infections may lead to poor outcomes. Acute lung injury in falciparum malaria has high mortality rates and therapy as for severe sepsis may improve survival. Adjunctive therapies, including activated protein C, cannot replace source eradication

Studies of hot photoluminescence in plasmonically-coupled silicon via variable energy excitation and temperature dependent spectroscopy

By coupling silicon nanowires (~150 nm diameter, 20 micron length) with an {\Omega}-shaped plasmonic nanocavity we are able to generate broadband visible luminescence, which is induced by high-order hybrid nanocavity-surface plasmon modes. The nature of this super-bandgap emission is explored via photoluminescence spectroscopy studies performed with variable laser excitation energies (1.959 eV to 2.708 eV) and finite difference time domain simulations. Furthermore, temperature-dependent photoluminescence spectroscopy shows that the observed emission corresponds to radiative recombination of un-thermalized (hot) carriers as opposed to a Resonant Raman process

Manipulation and assembly of nanowires with holographic optical traps

We demonstrate that semiconductor nanowires measuring just a few nanometers in diameter can be translated, rotated, cut, fused and organized into nontrivial structures using holographic optical traps. The holographic approach to nano-assembly allows for simultaneous independent manipulation of multiple nanowires, including relative translation and relative rotation.Comment: 5 pages, 5 figure

A Decision Support System for Liver Diseases Prediction: Integrating Batch Processing, Rule-Based Event Detection and SPARQL Query

Liver diseases pose a significant global health burden, impacting a substantial number of individuals and exerting substantial economic and social consequences. Rising liver problems are considered a fatal disease in many countries, such as Egypt, Molda, etc. The objective of this study is to construct a predictive model for liver illness using Basic Formal Ontology (BFO) and detection rules derived from a decision tree algorithm. Based on these rules, events are detected through batch processing using the Apache Jena framework. Based on the event detected, queries can be directly processed using SPARQL. To make the ontology operational, these Decision Tree (DT) rules are converted into Semantic Web Rule Language (SWRL). Using this SWRL in the ontology for predicting different types of liver disease with the help of the Pellet and Drool inference engines in Protege Tools, a total of 615 records are taken from different liver diseases. After inferring the rules, the result can be generated for the patient according to the DT rules, and other patient-related details along with different precautionary suggestions can be obtained based on these results. Combining query results of batch processing and ontology-generated results can give more accurate suggestions for disease prevention and detection. This work aims to provide a comprehensive approach that is applicable for liver disease prediction, rich knowledge graph representation, and smart querying capabilities. The results show that combining RDF data, SWRL rules, and SPARQL queries for analysing and predicting liver disease can help medical professionals to learn more about liver diseases and make a Decision Support System (DSS) for health care

Incorporating Polaritonic Effects in Semiconductor Nanowire Waveguide Dispersion

We present the calculated and measured energy-propagation constant (E-ß) dispersion of CdS nanowire waveguides at room temperature, where we include dispersive effects via the exciton-polariton model using physical parameters instead of a phenomenological equation. The experimental data match well with our model while the phenomenological equation fails to capture effects originating due to light-matter interaction in nanoscale cavities. Due to the excitonic-polaritonic effects, the group index of the guided light peaks close to the band edge, which can have important implications for optical switching and sensor applications