Design and Analysis of Nozzle for Reverse Thrust Braking System

In age of automotive, lakhs of vehicles running all around and day today the vehicles are being added up. In countries like India, due to these numerous vehicles, accidents occur frequently. On an average 400 fatalities a day happens in India due to accidents, that is, every 5 minutes a person is fatally injured due to accident. These accidents might be due to several reasons but the main reason is inability of the driver to control the vehicle in extreme conditions, but the effect of accident could have been reduced by applying brake effectively. So, there is a serious urge to develop an intelligent emergency braking system. The advancement in automation had led to the collaboration of both entities, Automation and Automotive to give an ultimate safety braking systems like ABS, EBA etc. The present study aims to design an advanced emergency braking system using the concept of reverse thrust. This paper intent to collaborate the reverse thrust braking with the existing automatic pneumatic braking system to increase the efficiency of braking in extreme conditions and to ensure the safety of driver and the vehicle. To develop a reverse thrust braking system, it is necessary to determine the components and its arrangement to produce the required thrust. In the following paper, nozzle is designed and analyzed based on the defined boundary condition to produce the required thrust. By application of thrust braking system, the stopping distance of the vehicle is significantly reduced based on the capacity of thrust that a nozzle can produce and also acts as an emergency automatic braking system to save lives. Reverse thrust braking system will be of greater use if the coefficient of friction is low. Designing and analysis software are used for the purpose of nozzle design and other requirements

Synthesis of N?-Protected Amino Sulfenyl Methyl Formamides and Sulfonyl Methyl Formamides: A Simple Protocol

Chiral amino acid-derived formamides represent one of the most versatile components in multicomponent reactions. Herein, we describe a facile synthesis of Nß-protected amino sulfenyl methyl formamides and sulfonyl methyl formamides via the Mannich reaction of Na-protected amino alkyl thiols followed by oxidation using 3-chloroperbenzoic acid (m-CPBA). This protocol is applicable to a wide range of Fmoc- and Cbz-protected amino acids. Notably, the reaction provides high yield and retains the stereochemistry of the chiral center of the starting componen

Benchmark solution for the stability of plane Couette flow with net throughflow

This paper investigates the stability of an incompressible viscous fluid flow between relatively moving horizontal parallel plates in the presence of a uniform vertical throughflow. A linear stability analysis has been performed by employing the method of normal modes and the resulting stability equation is solved numerically using the Chebyshev collocation method. Contrary to the stability of plane Couette flow (PCF) to small disturbances for all values of the Reynolds number in the absence of vertical throughflow, it is found that PCF becomes unstable owing to the change in the sign of growth rate depending on the magnitude of throughflow. The critical Reynolds number triggering the instability is computed for different values of throughflow dependent Reynolds number and it is shown that throughflow instills both stabilizing and destabilizing effect on the base flow. It is seen that the direction of throughflow has no influence on the stability of fluid flow. A comparative study between plane Poiseuille flow and PCF has also been carried out and the similarities and differences are highlighted

Real Time Emotion Support System in Text Mining [RTESTM]

Mining opinions from online reviews is an essential step in obtaining the overall sentiment of a product. Deep learning procedure is applied over various fields. User ratings are huge for recommender structures since they consolidate various kinds of energetic information that may influence the exactness of the suggestion. In this work, a deep learning model is utilized to process the user remarks and to create a potential user rating for user comments is proposed. To start with, the system uses sentiments to create a feature vector as the input nodes. Further, the framework tools reduce the noise in the dataset to recover the classification of information mining. To finish, Deep Belief Network (DBN) and sentiment analysis reaches data learning for the approvals

CLOUD BASED MULTI-LANGUAGE INDEXING USING CROSS LINGUAL INFORMATION RETRIEVAL APPROACHES

The exponential growth of data sizes created by digital media (video/audio/images), physicalsimulations, scientific instruments and web authoring joins the new growth of interest in cloud computing. The options for distribution and parallelization of information in clouds make the retrieval and storage processes very complicated, especially when faced with real-time data management. The quantity of Web Users getting access to data over Internet is expanding step by step. An enormous measure of data on Internet is accessible in various languages which could be accessed by anyone whenever. The Information Retrieval (IR) manages finding valuable data from a huge assortment of unorganized, organized and semi-organized information. In the present situation, the variety of data and language boundaries are the difficult challenges for communication and social trade over the world. To tackle such obstructions, CLIR, the cross-language information retrieval frameworks, are these days in solid interest. The Query Expansion (QE) is the way toward adding related and important terms to original inquiry to upgrade its indexing ability to improve the significance of recovered files in CLIR. In this exploration work, QE has been investigated for a Hindi-English and Kannada-English CLIR in that Hindi and Kannada queries are utilized to look through English docs. After the interpretation of query, recovered outcomes are positioned making use of OkapiBM25 to organize the most important doc at the top for expanding the significance of recovered docs using QE. We proposed architecture for Hindi-English and Kannada-English CLIR making use of QE. to

Improved near‒infrared nonlinear optical properties of Sm3+ containing borate glasses: Effect of silver nanoparticles concentration

Efficacy of silver nanoparticles on tuning the optical nonlinear characteristics of Sm3+ doped borate‒based glasses has been investigated comprehensively and the outcomes are provided. The nonlinear optical (NLO) attributes were retrieved using the Z‒scan technique under an ultrafast pulse excitation with the wavelength ranging from 700 nm to 1000 nm. Reverse saturable absorption (RSA), ascribed to two‒photon absorption, was realized in open aperture Z‒scan profiles whereas refraction nonlinearity of positive type due to the self‒focusing was observed in closed aperture Z‒scan data. Based on the Z‒scan results along with the figure of merit condition (higher than unity), it was identified that the silver nanoparticles embedded Sm3+ containing glass hosts are competing materials for NLO device applications to function in near‒infrared region. K.KeshavamurthyaB.N.SwethabFatemah FarrajAl‒HarbicJagannathGdAljawhara H.Almuqrin

Memory effect of vertically stacked hBN/QDs/hBN structures based on quantum-dot monolayers sandwiched between hexagonal boron nitride layer

The characteristics of a flexible write-once-read-many-times (WORM) memory fabricated with monolayered 0-dimensional (0D) CdSe–ZnS quantum dots (QDs) layers sandwiched between two insulating 2-dimensional (2D) hexagonal boron nitride (hBN) multilayers were investigated by electrical measurement method. The hBN/QDs monolayer/hBN structure was fabricated in a vertical stacked structure using a technique which control the formation of the QDs monolayer. QDs monolayer was formed by electrostatic interaction between the negative charge group on the CdSe–ZnS QDs surface and the positive charge group on the hBN surface. The device has a WORM characteristic due to the presence of QDs in the current-voltage (I–V) measurement. When a bias is applied, carriers were initially trapped by tunneling due to the QDs and then a conductive filament was formed in the hBN, which were not detrapped and exhibit characteristics of write-once-read-many-times memory. The maximum ON/OFF ratio of the current for the devices was as large as 4 × 10, and the endurance was 5 × 104 cycles, and a retention time was larger than 1 × 105 s. In order to explain the carrier transport mechanism and conductive filament of the WORM memory device caused by QDs, it through various methods such as I–V fitting data, simulation, and conductive AFM. Unlike the conventional conductive filament mechanism, through random diffusion such as Ag filament, the Au/hBN/QD/hBN/ITO/PET structures implemented a consistent conductive filament using Au metal and QDs active layer