49 research outputs found
Enhancing COVID-19 Diagnosis: A Multi-Modal Approach Utilizing the CNN Algorithm in Automated Applications
Rapidly identifying COVID-19 patients is essential for effective disease control and management. To address this need, we have developed an automated application that utilizes multi-modal data, including Chest X-ray, Electrocardiogram (ECG), and CT scan images, for precise COVID-19 patient identification. This application comprises a two-stage process, starting with a web-based questionnaire and then the submission of medical images for verification. Leveraging various ML and DL techniques, including CNN, KNN, Logistic Regression, Decision Tree, and NaiveBayes, We conducted extensive model training and validation for LSTM, InceptionV3, SVM, Resnet, and MobileNet. The CNN algorithm emerged as the top-performing method across all modalities, demonstrating exceptional accuracy, precision, recall, F-score, and a minimal false prediction rate. Confusion matrices were employed for comprehensive result evaluation. This study highlights the potential of multi-modal data analysis, particularly the CNN algorithm, for efficiently and accurately identifying COVID-19 patients
Optimized Visual Internet of Things in Video Processing for Video Streaming
The global expansion of the Visual Internet of Things (VIoT) has enabled various new applications during the last decade through the interconnection of a wide range of devices and sensors.Frame freezing and buffering are the major artefacts in broad area of multimedia networking applications occurring due to significant packet loss and network congestion. Numerous studies have been carried out in order to understand the impact of packet loss on QoE for a wide range of applications. This paper improves the video streaming quality by using the proposed framework Lossy Video Transmission (LVT) for simulating the effect of network congestion on the performance of encrypted static images sent over wireless sensor networks.The simulations are intended for analysing video quality and determining packet drop resilience during video conversations.The assessment of emerging trends in quality measurement, including picture preference, visual attention, and audio visual quality is checked. To appropriately quantify the video quality loss caused by the encoding system, various encoders compress video sequences at various data rates.Simulation results for different QoE metrics with respect to user developed videos have been demonstrated which outperforms the existing metrics
Surface morphology, electrical and optical properties of gallium antimonide layers grown by liquid phase epitaxy
Abstract Liquid phase epitaxial (LPE) growth of gallium antimonide has been carried out employing equilibrium cooling, step cooling, supercooling and two phase solution growth techniques. An optimum temperature range of 500-550°C was found to be suitable for the growth of high quality layers. The morphology of layers grown by the first three techniques improved with increase in layer thickness. In contrast, better morphology was obtained for thin layers when grown from the two phase solution technique. While the equilibrium cooling technique gave a diffuse substrate-epilayer interface, sharp interfaces were obtained by the step cooling, supercooling, and two phase solution growth techniques. Photoluminescence spectroscopy and current-voltage measurements carried out on the grown layers revealed that the layers grown from Ga-rich melts exhibit superior optical and electrical properties as compared to those grown from Sb-rich melts
Antidiabetic and renoprotective effects of the chloroform extract of Terminalia chebula Retz. seeds in streptozotocin-induced diabetic rats
BACKGROUND: Terminalia chebula (Combretaceae) has been widely used in Ayurveda for the treatment of diabetes. In the present investigation, the chloroform extract of T. chebula seed powder was investigated for its antidiabetic activity in streptozotocin-induced diabetic rats using short term and long term study protocols. The efficacy of the extract was also evaluated for protection of renal functions in diabetic rats. METHODS: The blood glucose lowering activity of the chloroform extract was determined in streptozotocin-induced (75 mg/kg, i.p.; dissolved in 0.1 M acetate buffer; pH 4.5) diabetic rats, after oral administration at the doses of 100, 200 and 300 mg/kg in short term study. Blood samples were collected from the eye retro-orbital plexus of rats before and also at 0.5, 1, 2, 4, 6, 8 and 12 h after drug administration and the samples were analyzed for blood glucose by using glucose-oxidase/peroxidase method using a visible spectrophotometer. In long term study, the extract (300 mg/kg) was administered to streptozotocin-induced diabetic rats, daily for 8 weeks. Blood glucose was measured at weekly intervals for 4 weeks. Urine samples were collected before the induction of diabetes and at the end of 8 weeks of treatments and analyzed for urinary protein, albumin and creatinine levels. The data was compared statistically using one-way ANOVA with post-hoc Dunnet's t-test. RESULTS: The chloroform extract of T. chebula seeds produced dose-dependent reduction in blood glucose of diabetic rats and comparable with that of standard drug, glibenclamide in short term study. It also produced significant reduction in blood glucose in long term study. Significant renoprotective activity is observed in T. chebula treated rats. The results indicate a prolonged action in reduction of blood glucose by T. chebula and is probably mediated through enhanced secretion of insulin from the β-cells of Langerhans or through extra pancreatic mechanism. The probable mechanism of potent renoprotective actions of T. chebula has to be evaluated. CONCLUSION: The present studies clearly indicated a significant antidiabetic and renoprotective effects with the chloroform extract of T. chebula and lend support for its traditional usage. Further investigations on identification of the active principles and their mode of action are needed to unravel the molecular mechanisms involved in the observed effects
Design of ternary full-adder and full-subtractor using pseudo NCNTFETs
Now-a-days, the binary logic system has intensified by scaling the field effect transistor (FET). However, due to the effectiveness of scaling the FET, ternary logics became more popular. Out of numerous ternary logic devices, carbon nanotube (CNT) FET (CNTFET) is considered a good candidate over silicon FETs. Hence, in this study, ternary schematics are developed based on Pseudo N-type CNTFETs. The ternary basic designs such as standard ternary inverter (STI), AND and OR gates are presented. Then, using the proposed basic logic gates, the complex designs such as full adder and full subtractor are also proposed. The HSPICE simulator is utilized to design proposed circuits and analyze different performance parameters. The performance such as delay, power and power delay product (PDP) are analyzed for the proposed circuits. Moreover, the proposed schematics performances are also compared to complementary schematics. It investigated that Pseudo N-type CNTFET schematics improved the overall performance on an average up to 65.82% over the complementary ternary circuits
Synthesis and Antimicrobial Properties of Some Anacardic Compounds
A new series of anacardic compounds from cashewnut shell liquid phenol, anacardol, have been synthesised and screened for antibacterial and antifungal activity. All the anacardic compounds have been found active against S. Typhosa in dilutions varying from 1: 10,000 to 1 : 1,000,000. The only compound found active against A. Niger is chloro-mercuri-tetrahydroanacardol
An efficient heterogenised palladium catalytic system for the reductive carbonylation of nitrobenzene to methyl N-phenylcarbamate
A highly active and selective heterogenised homogeneous catalyst, montmorillonitebipyridinepalladium (II) acetate complex for the reductive carbonylation of nitrobenzene to methyl N-phenylcarbamate is reported. With the additional advantages such as ease of filterability and reusability for several cycles with consistent activity and selectivity, the heterogenised system will become practical alternative to the other systems described earlier
Extreme value analysis of summer monsoon rainfall over Andhra Pradesh
32-38The years of excess and deficit of all
Andhra Pradesh summer monsoon rainfall (APSMR) are subjected to extreme
statistic analysis in the context of one of the signals of the global
teleconnections, namely El Niño Southern Oscillation (ENSO) and La Nina
Southern Oscillation (LNSO) to understand its regional implications in terms of
the associated size or level of a T-year event