The study of semi bent functions (2- plateaued Boolean function) has attracted the attention of many researchers due to their cryptographic and combinatorial properties. In this paper, we have given ...the algebraic construction of semi bent functions defined over the finite field mathematical expression not reproducible (n even) using the notion of trace function and Gold power exponent. Algebraically constructed semi bent functions have some special cryptographical properties such as high nonlinearity, algebraic immunity, and low correlation immunity as expected to use them effectively in cryptosystems. We have illustrated the existence of these properties with suitable examples. Keywords: Boolean function, trace, cryptography, nonlinearity, algebraic immunity.
A Novel Approach for Bone Age Assessment using Deep Learning Poojary, Nishan B.; Pokhare, Prathamesh G.; Poojary, Pratik P. ...
International Journal of Scientific Research in Computer Science, Engineering and Information Technology,
5/2021
Journal Article
Odprti dostop
In this paper, we propose a detailed approach to create a Bone age assessment model. Bone age assessment is a common medical practice in the assessment of child development, who are less than 18 ...years of age. In this proposed model, the Xception architecture is being used for transfer learning. Using feature extraction and transfer learning, the pre-trained convolutional neural network were custom trained. The dataset used for training the model is obtained from the Kaggle RNSA Bone Age dataset containing 12811 male and female bone images of different age groups. Finally, we were able to attain a mean absolute error (MAE) of 8.175 months in male and female patients, which aligns with our initial goal of achieving MAE in under a year.
Attracting and retaining talents especially at the managerial level will be a big challenge for the modern business organizations. The central purpose of this study is to measure and assess the key ...determinants of attracting and retaining managerial talents in respect of selected industrial units in Karnataka. In this research paper, which is a part of larger research study, an attempt is made to identify the major factors responsible for attracting and retaining managerial talents at junior, middle and senior management levels. . The key results and discussions presented in this paper are based on the primary data and information extracted through a sample survey of 247 industrial units. A conducive and congenial working environment has been perceived as a key driving force for attracting talented people to junior manager and middle manager positions, whereas executive compensation was figured out as a dominant factor for attracting promising people to the senior-level management positions. Lack of career growth was perceived to be the main reason for junior and middle level managers leaving their respective organizations, but in case of senior level managers it was lack of timely and appropriate recognition for the job well-done. Most of the industrial units responding to the sample survey adopted innovative benefit schemes for retaining executive talents such as sign-on bonus, retention bonus, stock option, skill-based bonuses and overseas assignments. Compensation package and innovative benefit schemes might vary from situation to situation within a firm (situation-specific), company to company within industry (company-specific), industry to industry (industry-specific), and from one country to another (country-specific). It is precisely due to the fact that management of human resources is context-specific, and accordingly, its impact on attraction and retention of managerial talents is bound to be the 'child of circumstances and the prevailing context'. In the fitness of things, a host of factors individually and collectively may be responsible for attracting and retaining executives at junior, middle and senior levels.
Syllable Generation by Eliciting Knowledge of Recommended Song Kumbhar, Rohit R.; Nerurkar, Amit K.; Poojary, Bhavika P. ...
2019 6th International Conference on Computing for Sustainable Global Development (INDIACom),
2019-March
Conference Proceeding
The aim of this paper is to classify music according to its genre, predict the next song based on the current mood of the user and to play a small audio which describes the next song. The audio clip ...has information like artist name, album name, year of release and genre. This would make the system interactive. Here, content-based genre classification would be made by using Convolution Neural Network (CNN) and Recurrent Neural Network (RNN) in parallel. Based only on the recent history the next song is recommended so that it is according to the current mood of the user. The information such as name of the song, singer, music composer, album name, year of release is fetched from the dataset and played as an audio file before playing the song. By doing this, the user would get the information of the song in audio format. This would make the system user friendly as the user need not have to search about the song explicitly.
Purpose: To compare the rapid colorimetric nitrate reductase based
antibiotic susceptibility (CONRAS) test performed on Mycobacterium
tuberculosis isolates with the conventional method i.e., the
...proportion method. Methods: One hundred clinical isolates of M.
tuberculosis were tested for susceptibility to isoniazid (INH) and
rifampicin (RIF) by the conventional proportion method and CONRAS in
Middlebrook 7H9 liquid medium enriched with growth supplements
(MB7H9S). Results: The performance of the CONRAS test was evaluated
using proportion method as the gold standard. The sensitivity (ability
to detect true drug resistance) and specificity (ability to detect true
drug susceptibility) of the CONRAS test to INH was 93.75 and 98.52% and
for RIF it was 96.10 and 100% respectively. The mean time for reporting
was 6.3 days and the test showed excellent reproducibility. The kappa
(k) value for INH was 0.92 and for RIF was 0.99, indicating excellent
agreement between the two methods. Conclusions: CONRAS test is a
rapid and reliable method of drug susceptibility for M. tuberculosis.
As part of our effort to identify potent α‐amylase inhibitors, in the present study, a novel series of fluorinated thiazolidinone‐pyrazole hybrid molecules were prepared by the condensation of ...3‐(aryl/benzyloxyaryl)‐pyrazole‐4‐carbaldehydes with fluorinated 2,3‐disubstituted thiazolidin‐4‐ones. The structures of the newly synthesized compounds were confirmed by infrared, 1H nuclear magnetic resonance (NMR), 13C NMR, and liquid chromatography–mass spectrometry data. All the compounds were screened for their α‐amylase inhibitory and free radical scavenging activities by DPPH (1,1‐diphenyl‐2‐picrylhydrazyl) and ABTS methods. Among the tested compounds, compound 8g emerged as a promising α‐amylase inhibitor with IC50 = 0.76 ± 1.23 µM, and it was found to be more potent than the standard drug acarbose (IC50 = 0.86 ± 0.81 μM). Compounds 8b and 8g showed strong free radical scavenging activity compared to the standard butylated hydroxyl anisole. The kinetic study of compound 8g revealed the reversible, classical competitive inhibition mode on the α‐amylase enzyme. Molecular docking and dynamic simulations studies were performed for the most potent compound 8g, which displayed remarkable hydrogen bonding with the α‐amylase protein (PDB ID: 1DHK).
Novel fluorinated thiazolidinone‐pyrazole hybrid molecules were prepared and tested as α‐amylase inhibitors and free radical‐scavenging agents. Compound 8g emerged as a promising α‐amylase inhibitor that was more potent than the standard drug acarbose. Compounds 8b and 8g showed strong free radical‐scavenging activity. Molecular docking revealed remarkable hydrogen bonding of compound 8g with the α‐amylase protein.
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