Volume 10 | Issue 2 |

 Abstract

???- ?????? ??? ??? ?????? ????? ?? ?? ??? ??? ?? ?? ???? ??? ????? ????? ?? ????? ?? ?????? ?????? ?? ???? ??? ?????? ????? ?? ????? ????? ?????? ?? ???? ??? ?? ?? ??? ?????? ????? ??? ???? ?????? ??? ????? ?????? ?? ????? ?????? ????? ???? ??? ??????? ?????? ??? ??? ?????? ?????????? ?? ???? ?????? ?????? ?? ?? ?? ??? ?????? ?????????? ?? ???????/????????? ????????? ?? ?????? ??? ???? ??? ???? ????---?????????, ??????? ?????, ??????? ????, ??? ????, ????? ?????????, ??????? ?????, ????????? ????????, ???, ????? ??? ????????????? ??? ?? ??? ??? ??? ?????? ?????????? ?????? ?????? ??? ????? ?? ????? ?? ??? ????????? ?????? ??? ??? ?? ???? ???? ???? ??? ?? ?? ????-???? ??? ??? ?? ??? ???? ???? ????? ?? ?????? ?????????? ??? ??:????? ?????? ?? ???????? ?? ??? ?? ??????? ?????? ?????????? ??? ???? ?????? ?? ?????? ????? ???? ?? ??? ???? ????? ?????? ????????? ?? ????? ?? ?? ?????? ?????????? ??? ?????? ???? ??? ?? ???? ?? ???? ?? ??? ???????? ?? ?? ???? ?? ????? ???? ?????????? ???? ?????? ??????? ???? ?? ???? ??? ??????? ??? ?? ????? ???? ???| ??? ????? ??? ??? ?????? ?????????? ?? ?????? ???-???????? ???? ???? ?? ??? ??| ?????? ?????????? ??? ?????? ???????? (??????, ???? ????? ????) ?? ??, ????? ???????? ?? ???????? ??? ???? ???? ???? ??? ????? ?? ??? ???? ??? ?? ????? ??? ???? ????? ?? ??? ?????? ?????????? ??? ?????? ???????? ?? ????? ?????? ??? ????? ????? ?? ?? ?? ?? ??????? ??? ??? ??? ?? ??? ?????? ?????????? ?? ?????? ???? ?? ??? ?? ???? ?????? ?????????? ??? ???? ?????? ???????? ?? ?????? ?? ???? ?? ??? ?????? ?????? ?? ???? ?? ?? ?? ?? ??? ?? ??? ??? ??? ?? ???? ??? ?? ??????? ???? ?????? ?? ?????? ?????????? ??? ???? ????? ????? ?? ?? ??????? ???? ?????? ?? ?????? ?????????? ??? ????? ??? ?????? ?????? ?? ????? ???? ????? ?? ??????? ??? ?? ?? ?????? ?? ?????? ?????? ???

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?????? - ?????? ????? ,??? ?????? ????? , ?????? ????????? , ??? , ??????? , ?????

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Creative Commons Attribution 4.0 and The Open Definition

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?? ?????? ?? ??????? ????? ??????? ?? ?? ???? ???? ?? ????? ???????? ?? ?? ?? ??? ???? ????? ???? ?? ????? ?????? ????? ???? ?? ? ???? ??? ?? ????? ?? ????? ?? ?????? ?? ??????? ???? ???? ?? ????? ??????? ???????? ?????? ???? ?? ???? ?????? ???? ?? ? ???? ???? ??? ??? ?????? ???????? ?????? ??? ? ????? ??? ???????? ?? ????? ???? ?????? ??? ?? ??? ?????? ??????? ???? ????? ? ??? ?????? ?????????? ?? ????? ????? ??? ?????? ??? ?????? ???? ? ???? ?? ??? ???? ?? ??? ?????? ?? ???? ?? ?????? ?? ?????-?????? ???? ???? ??? ?? ????? ???? ??? ??? ????????? ?? ?????? ??????? ?? ??? ???? ???? ??? ??? ????????? ?? ???? ?? ??? ???? ????? ???? ??? ?? ???? ??????? ?????????? ?? ?????? ?? ??? ?? ???????? ???????? ?? ?? ???? ??????? ?? ?? ?????????? ?????????? ?? ??? ????? ??????? ?? ???????? ?? ????? ????? ?? ??????? ??? 1965 ???????? ?? ???? ?????? ??????? ??? ?????? ???? ????? ?? ?????? ?? ?? ? ?? ?? ???? ??????? ??? ??? ?? ?????? ????????????? ?? ?????? ???? ?? ???? ??? ?????? ??????? ??? ?? ??????? ?? ??????? ????? ??????? ?? ?? ?????? ?? ???? ?? ???? ???? ?????? ?? ?? ???? ??? ?? ?????? ???? ?? ??????? ?? ??? ??l

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Creative Commons Attribution 4.0 and The Open Definition

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??????- ???????, ????????? ,?????? ,?????? ,???????, ???????, ???????? , ??????????, ????? ??????????,

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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hypertension, amlodipine, angina pectoris.

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Creative Commons Attribution 4.0 and The Open Definition

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For the fabrication of light weight structures, aluminium alloys are most suitable. And these alloys have high strength to weight ratio and have good corrosion properties. Gas tungsten arc welding (GTA) is a one of the most economical process of joining aluminium alloys which undergo physical, chemical and metallurgical transformations as a result of fusion welding. Taguchi method of experimental design was applied here to examine the effect of input parameters on strength, hardness and corrosion resistance. Input parameters like welding current, transitional speed and voltage are used as controlling parameters to create the experimental design and each parameter is divided into three levels. Therefore, an L9 orthogonal array was used for the experimental design. Tensile, hardness and pitting corrosion tests were conducted as per the design matrix. Analysis of Variance (ANOVA) technique was used to determine the governing parameter of the process. The findings of ANOVA reveal that welding current is the most influencing parameter followed by voltage and transitional speed. Further, response surface methodology (RSM) has been used to form the mathematical model of AA2219 aluminium alloy. This mathematical model was helpful to find the predicted value of responses. The optimized parameter of AA2219 aluminium alloy was obtained by using RSM. The outcomes of RSM indicates that maximum strength, hardness and corrosion resistance is achieved when welding current, transitional speed and voltage are chosen as 150A, 70 mm/min, 31.68 kV respectively.

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Creative Commons Attribution 4.0 and The Open Definition

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AA2219 alloy, gas tungsten arc welding, welding current, transitional speed, voltage, corrosion resistance, Taguchi design, Response surface methodology.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Work-From Home, Work-Family Conflict, Work-Life Balance, Teaching Professionals.

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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green tea, nutraceuticals, Cardio protection, anti-inflammation

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Creative Commons Attribution 4.0 and The Open Definition

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In order to drive the state of the art technology for Driver's safety, the demand for Artificial Intelligence and Machine learning delicacy approaches are popularly used in ultramodern Classrooms. This paper presents a Driver drowsiness detection architecture that may be placed within the vehicle as a standalone design unit. In this organized deep learning CNN framework, a comprehensive analytics strategy is employed to detect somnolence in automobilists. There are two distinct phases employed in this experimental framework namely image data acquisition followed by identification of the region of interest (ROI) in phase 1. In the coming phase, the deep learning algorithm is employed to classify and prognosticate the result. The object detection training is using the Haar Cascade Classifier which facilitates getting an accurate model. The model is trained by exploiting the open-source tools namely Keras alongside Tensorflow as backend. The hardware design includes Raspberry pi model 4 or 3b, camera, GSM Module, and a speaker. The video capturing, labeling of open or closed eyes and the score are attained as a real-time status with the speaker output to warn the automobilist during sleepiness state. The standalone hardware module is uploaded with the entire training AI software. Real-time image acquisition by the design platform and forecasting the driver drowsiness detection, depicts a delicacy of 95 to 96. The activation function ReLU used during the predicting state in CNN improves the computational effectiveness of the design My SQL model.

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Creative Commons Attribution 4.0 and The Open Definition

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IoT, Raspberry Pi, Camera, GSM Module & Speaker, EOG-BASED DROWSINESS, EEG-BASED DROWSINESS, multitaper PSD

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Creative Commons Attribution 4.0 and The Open Definition

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Diabetes is powerful disease in the world. There are many proposed solutions for solving the problem and find whether a person is having diabetes or not. In this paper, various methods are being proposed on how to find the person is having diabetes using A diabetes dataset by implementing various machine-learning algorithms. A comparison study has been carried out for the machine learning algorithms to verify which algorithm is performing well with better accuracy.

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Creative Commons Attribution 4.0 and The Open Definition

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Prediction, SVM-Algorithm, Decision tree Algorithm, Gradient Boosting Algorithm, Accuracy.

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract The present study was made to investigate the phytochemical screening on leaf extract of Indian Aegle marmelos L. (Bael). The physical parameters determined were pH, total ash, acid soluble ash, acid insoluble ash value, water extract, methanol extract, chloroform extract , petroleum ether extract & UV fluorescence Test. The phytochemical analysis were also performed & the results of phytochemical screening of the aqueous leaves extract revealed the presence of alkaloids, flavonoids, proteins, tannin & Phenolic compound. The different parts of Bael are used for various therapeutic purposes, such as for treatment of asthma, anaemia, fractures, healing of wounds, swollen joints, high blood pressure, jaundice, diarrhoea, controlling diabetes, decoction is given to patient suffering from fever and cold. A dried powdered leaves sample were dissolved in different reagents & observed under UV light and fluorescence were recorded. The FTIR Spectra of total water Extractives and Methanol Extractives & ether extract were also performed. The present study clearly indicates that the compounds like alkaloids, flavones, terpenoids and saponins are the active principles present in the leaves of Beal. The FTIR spectra analysis gives an idea about the different functional groups were present in this sample and it can be isolate and can be use the active components of this natural plant for further drug preparation.

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Key words: water extracts, methanol extract, UV fluorescence, alkaloids, flavonoids, Proteins, tannin

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Creative Commons Attribution 4.0 and The Open Definition

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The current study attempts to analyze The Insolvency and Bankruptcy Code, 2016. It assesses the Insolvency and Bankruptcy Code impacts actions on the corporate restructuring. The research methodology of the current study relied on the internet-based investigation review of the literature. The Code expects to defend the cycles and methods for Bankruptcy and Insolvency, further develop obligation recuperation rates, and increment lender trust in India. Ideally, it should go some method for addressing moneylenders' freedoms to uphold security in a troubled circumstance, possibly cutting down the pace of non-performing advances. The Insolvency and Bankruptcy Code, 2016 accommodates the constitution of another indebtedness controller, i.e., the Insolvency and Bankruptcy Board of India (Board). Its job includes:(i) supervising the working of indebtedness middle people, i.e., bankruptcy experts, proficient indebtedness organizations, and data utilities; and (ii) managing the bankruptcy cycle. Indebtedness and Bankruptcy Board of India (IBBI) will be the administrative body liable for outlining the principles, Code of direct, and enrollment of the above organizations. The study concludes that Insolvency and Bankruptcy Code is regarded as a significant corporate issue of Companies in India irrespective of sector, business goal, and size. This paper will highlight the critical parts of the Code and assess its likely impact on the Indian debt market and an effort to highlight the importance of the Insolvency and Bankruptcy Code as a tool to make better corporate restructuring.

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Creative Commons Attribution 4.0 and The Open Definition

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insolvency and bankruptcy code

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Creative Commons Attribution 4.0 and The Open Definition