Automatic license plate recognition using pre-processing methods

In this paper, we present a method to automatically detect a vehiclersquos number by usingnbsp pre-processing techniques. We also include image enhancement techniques, edge detection methods, morphological methods including image filling and some techniques like image filling. This paper provides an advantage of effective detection of more number of vehicles compared to the detection using edge detection methods.nbs

Synthesis, and biological screening of chloropyrazine conjugated benzothiazepine derivatives as potential antimicrobial, antitubercular and cytotoxic agents

A series of twenty new chloropyrazine conjugated benzothiazepines (22-41) have been synthesized with 58%–95% yields. The compounds were characterized by using different spectroscopic techniques including FT-IR, ¹H NMR, ¹³C NMR spectroscopy and mass spectrometry. The synthesized compounds (22-41) and their precursor chalcones (2-21) were evaluated for antitubercular and cytotoxic activities. Additionally, compounds 22-41 were also tested for antimicrobial activity. Among the chalcone series (2-21), compounds 7 and 14 showed significant antitubercular activities (MICs 25.51 and 23.89 µM, respectively), whereas among benzothiazepines (22-41), compounds 27 and 34 displayed significant antimicrobial (MICs 38.02 µM, 19.01 µM) and antitubercular (MIC 18.10 µM) activities. Compounds 7 and 41 displayed cytotoxic activities with IC₅₀ of 46.03 ± 1 and 35.10 ± 2 µM respectively. All the compounds were evaluated for cytotoxic activity on normal human liver cell lines (L02) and found to be relatively less selective towards this cell line. The most active compounds identified through this study could be considered as potential leads for the development of drugs with possible antimicrobial, antitubercular, and cytotoxic activities

A PRECISE RP-HPLC METHOD DEVELOPMENT FOR THE SIMULTANEOUS ESTIMATION OF DIAZEPAM AND PROPRANOLOL HYDROCHLORIDE IN TABLET DOSAGE FORM

A simple, precise, and accurate RP – HPLC method was developed and validated for the simultaneous estimation of Diazepam and Propranolol Hydrochloride in bulk and tablet dosage form. Isocratic elution at a flow rate of 1.0 mL/min was employed on BDS Hypersil C18 (250 X 4.6 I.D., 5µm particle size) at ambient temperature. The mobile phase consisted of mixed buffer (0.02M potassium dihydrogen ortho phosphate and 0.003M dipotassium hydrogen phosphate, pH adjusted to 3.0) and acetonitrile (40:60v/v). The UV detection wavelength was 222nm and 20µL of sample was injected. The retention times of Diazepam and Propranolol Hydrochloride were 2.031min and 5.597min respectively. The linearity was obtained in the range of 2 – 12 µg/mL for diazepam and 16 – 96 µg/mL for propranolol hydrochloride. The mean % recovery of diazepam and propranolol hydrochloride was found to be 99.92, 99.94 respectively. The % RSD for precision and accuracy of the method was found to be less than 1%. The method was validated as per the ICH guidelines. The method developed was found to be precise and accurate for the simultaneous estimation of diazepam and propranolol hydrochloride in tablet dosage form

Hybrid Approach to Enhance Single Image Resolution

Microscopic analysis of images is more important for detail analysis of an image, Image super resolution (SR) reconstruction technique is increasing its attention from the image processing community, in the previous techniques, noise removal and smoothing techniques are used but image resolution improvement has been widely used in many applications such as remote sensing image, medical image, video surveillance and high definition television. The essential of image SR reconstruction technique is how to produce a clearly high resolution (HR) image from the information of one or several low resolution (LR) images. This project is dealing with hybrid approach of combining SWT and DWT to improve the resolution of the image by interpolation. The performance of the algorithm is compared with the PSNR, MSE

Antitubercular activity assessment of fluorinated chalcones, 2-aminopyridine-3-carbonitrile and 2-amino-4H-pyran-3-carbonitrile derivatives: In vitro, molecular docking and in-silico drug likeliness studies

A series of newer previously synthesized fluorinated chalcones and their 2-amino-pyridine-3-carbonitrile and 2-amino-4H-pyran-3-carbonitrile derivatives were screened for their in vitro antitubercular activity and in silico methods. Compound 40 (MIC~ 8 μM) was the most potent among all 60 compounds, whose potency is comparable with broad spectrum antibiotics like ciprofloxacin and streptomycin and three times more potent than pyrazinamide. Additionally, compound 40 was also less selective and hence non-toxic towards the human live cell lines-LO2 in its MTT assay. Compounds 30, 27, 50, 41, 51, and 60 have exhibited streptomycin like activity (MIC~16–18 μM). Fluorinated chalcones, pyridine and pyran derivatives were found to occupy prime position in thymidylate kinase enzymatic pockets in molecular docking studies. The molecule 40 being most potent had shown a binding energy of -9.67 Kcal/mol, while docking against thymidylate kinase, which was compared with its in vitro MIC value (~8 μM). These findings suggest that 2-aminopyridine-3-carbonitrile and 2-amino-4H-pyran-3-carbonitrile derivatives are prospective lead molecules for the development of novel antitubercular drugs

Evidence of large recoil velocity from a black hole merger signal

The final black hole left behind after a binary black hole merger can attain a recoil velocity, or a "kick", reaching values up to 5000 km/s. This phenomenon has important implications for gravitational wave astronomy, black hole formation scenarios, testing general relativity, and galaxy evolution. We consider the gravitational wave signal from the binary black hole merger GW200129_065458 (henceforth referred to as GW200129), which has been shown to exhibit strong evidence of orbital precession. Using numerical relativity surrogate models, we constrain the kick velocity of GW200129 to $v_f \sim 1542^{+747}_{-1098}$ km/s or $v_f \gtrsim 698$ km/s (one-sided limit), at 90\% credibility. This marks the first identification of a large kick velocity for an individual gravitational wave event. Given the kick velocity of GW200129, we estimate that there is a less than $0.48\%$ ($7.7\%$) probability that the remnant black hole after the merger would be retained by globular (nuclear star) clusters. Finally, we show that kick effects are not expected to cause biases in ringdown tests of general relativity for this event, although this may change in the future with improved detectors

Influence of Milling Process Parameters on Machined Surface Quality of Carbon Fibre Reinforced Polymer (CFRP) Composites Using Taguchi Analysis And Grey Relational Analysis

The article presents the milled surface quality of Uni-Directional Carbon Fibre Reinforced Polymer (UD-CFRP) composites from Taguchi’s and grey relational analysis. The novelty is demonstrating the possibility of detecting the surface defects in polymer composites during milling using SEM analysis. The material used for this study is UD-CFRP composite laminates and made by hand-layup process. All the milling operations were carried out using a solid tungsten carbide end milling tool and experiments conducted on CNC milling machine. Taguchi L9, 3-level orthogonal array was considered for experimentation. Analysis of Variance (ANOVA) was conducted to explore the significance of each individual input process parameters on multiple performance characteristics. Optimal process parameters are thoroughly validated by grey relational grade achieved by the grey relational analysis for multi performance characteristics. Finally, experimental results were correlated and analyzed with scanning electron micrographs using Scanning Electron Microscope (SEM)

A Novel Cryptography-Based Multipath Routing Protocol for Wireless Communications

Communication in a heterogeneous, dynamic, low-power, and lossy network is dependable and seamless thanks to Mobile Ad-hoc Networks (MANETs). Low power and Lossy Networks (LLN) Routing Protocol (RPL) has been designed to make MANET routing more efficient. For different types of traffic, RPL routing can experience problems with packet transmission rates and latency. RPL is an optimal routing protocol for low power lossy networks (LLN) having the capacity to establish a path between resource constraints nodes by using standard objective functions: OF0 and MRHOF. The standard objective functions lead to a decrease in the network lifetime due to increasing the computations for establishing routing between nodes in the heterogeneous network (LLN) due to poor decision problems. Currently, conventional Mobile Ad-hoc Network (MANET) is subjected to different security issues. Weathering those storms would help if you struck a good speed-memory-storage equilibrium. This article presents a security algorithm for MANET networks that employ the Rapid Packet Loss (RPL) routing protocol. The constructed network uses optimization-based deep learning reinforcement learning for MANET route creation. An improved network security algorithm is applied after a route has been set up using (ClonQlearn). The suggested method relies on a lightweight encryption scheme that can be used for both encryption and decryption. The suggested security method uses Elliptic-curve cryptography (ClonQlearn+ECC) for a random key generation based on reinforcement learning (ClonQlearn). The simulation study showed that the proposed ClonQlearn+ECC method improved network performance over the status quo. Secure data transmission is demonstrated by the proposed ClonQlearn + ECC, which also improves network speed. The proposed ClonQlearn + ECC increased network efficiency by 8-10% in terms of packet delivery ratio, 7-13% in terms of throughput, 5-10% in terms of end-to-end delay, and 3-7% in terms of power usage variation

INDIVIDUALITY-FOUNDED CIRCULATED ATTESTABLE RECORDS CONTROL NOW MULTI-HAZE PACKING

The weather of cloud computing has altered into an important subject in many of areas. The distributed storage furthermore to integrity checking is essential for almost any common situation, when client develop his details concerning the servers of multi-cloud.  Technique of integrity checking must suit your purposes which makes it appropriate for capacity-limited finish products thus, according to distributed computation, we'll learn distributed type of remote data integrity checking and hang up forward the attached concrete procedure in multi-cloud storage. Hence within our work we initiate novel confirmation type of remote data integrity known identity-based distributed provable data possession within multi-cloud storage. A concrete identity-based protocol of distributed provable data possession protocol is called according to bilinear pairings. Based on client’s authorization, suggested process could understand private verification, delegated verification furthermore to public verification. The forecasted technique is provably ingenious and guarded. Besides structural benefit of removal of certificate management, identity-based protocol of distributed provable data possession is additionally proficient and versatile. To enhance the success, identity-based provable data possession is much more striking and so, more useful to look at