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Theoretical investigation of optical WDM network performance in the presence of FWM and ASE noise /
Journal of Optical Communications, Vol.38, Issue 1, pp.101-109, ISSN: 2191-6322 (Online) 0173-4911 (Print). -
Launch power determination algorithm for dynamic traffic provisioning in mixed-line-rate optical wavelength division multiplexed networks /
International Journal Of Internet Protocol Technology, Vol.9, Issue 1, pp.23-33, ISSN No: 1743-8209. -
Spectral and power efficiency investigation in single- and multi-line-rate optical wavelength division multiplexed (WDM) networks /
Photonic Network Communications, Vol.33, Issue 1, pp.39–51, ISSN: 1572-8188 (Online) 1387-974X (Print). -
Factors Affecting Intra-Relations of Backend Cost Drivers in Multi-Brand Retail Domestic Super Market Under Convenience Stores Format : A Customer Aligned Model of Supply-Chain Optimism Framework
Asian Journal of Management, Vol. 8, Issue 1, pp. 78-86, 2321-5763 -
Factors Affecting Consumer Buying Behaviour, Consumer Satisfaction and Consumer Loyalty in the Ghee Industry- A Perspective of Bangalore Ghee Market
Asian Journal of Research in Business Economics and Management, Vol. 7, Issue 2, pp. 18-34, ISSN No. 2249- 7307 -
Comparative Analysis of State-of-the-Art Face Recognition Models: FaceNet, ArcFace, and OpenFace Using Image Classification Metrics
In recent years, facial recognition has emerged as a key technological advancement with numerous useful applications in numerous industries. FaceNet, ArcFace, and OpenFace are three widely used techniques for facial identification. In this study, we examined the accuracy, speed, and capacity to manage variations in face expression, illumination, and occlusion of these three approaches over a period of five years, from 2018 to 2023. According to our findings, FaceNet is more accurate than ArcFace and OpenFace, even under difficult circumstances like shifting lighting and facial occlusion. Also, during the previous five years, FaceNet has shown a significant improvement in performance. Even while ArcFace and OpenFace have made significant strides, they still lag behind FaceNet in terms of accuracy. Therefore, based on our findings, we conclude that FaceNet is the most effective method for facial recognition and is well-suited for use in high-stakes applications where accuracy is crucial. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
A Novel AI-Based Stock Market Prediction Using Machine Learning Algorithm
The time series forecasting system can be used for investments in a safe environment with minimized chances of loss. The Holt-Winters algorithm followed various procedures and observed the multiple factors applied to the neural network. The final module helps filter the system to predict the various factors and provides a rating for the system. This research work uses real-time dataset of fifteen stocks as input into the system and, based on the data, predicts or forecasts future stock prices of different companies belonging to different sectors. The dataset includes approximately fifteen companies from different sectors and forecasts their results based on which the user can decide whether to invest in the particular company or not; the forecasting will give an accurate result for the customer investments. 2022 Iyyappan. M et al. -
A Component Selection Framework of Cohesion and Coupling Metrics
Component-based software engineering is concerned with the development of software that can satisfy the customer prerequisites through reuse or independent development. Coupling and cohesion measurements are primarily used to analyse the better software design quality, increase the reliability and reduced system software complexity. The complexity measurement of cohesion and coupling component to analyze the relationship between the component module. In this paper, proposed the component selection framework of Hexa-oval optimization algorithm for selecting the suitable components from the repository. It measures the interface density modules of coupling and cohesion in a modular software system. This cohesion measurement has been taken into two parameters for analyzing the result of complexity, with the help of low cohesion and high cohesion. In coupling measures between the component of inside parameters and outside parameters. The final process of coupling and cohesion, the measured values were used for the average calculation of components parameter. This paper measures the complexity of direct and indirect interaction among the component as well as the proposed algorithm selecting the optimal component for the repository. The better result is observed for high cohesion and low coupling in component-based software engineering. 2022 CRL Publishing. All rights reserved. -
The fractional-order marriagedivorce mathematical model: numerical investigations and dynamical analysis
In this research, we present a fractional-order mathematical model that simulates the ongoing phenomenon of marriage and divorce, which significantly impacts human lives. The model is defined within the LiouvilleCaputo framework and incorporates different states and parameter values. Specifically, the model consists of four state variables that describe the statuses of married, divorced, or troubled couples, as well as the interactions between these states. We conduct a stability analysis for the proposed model and calculate the equilibrium points, revealing the conditions for a stable solution. Moreover, we establish the existence, uniqueness, and boundedness of the models solution using the Banach fixed point theorem. The global stability of the obtained equilibrium points is investigated using the Lyapunov function, revealing a globally stable solution with specific conditions. To obtain the results, we employ a multi-domain collocation technique that utilizes orthogonal generalized Romanovski polynomials. These polynomials offer the advantage of achieving higher-order accuracy without requiring a large number of basis functions. We assess the accuracy of the proposed technique by calculating the residual error. Furthermore, we conduct simulations with various parameter values and fractional orders to demonstrate the techniques effectiveness under different scenarios. The results confirm the techniques ability to provide accurate outcomes across multiple scenarios. To enhance result validation, a comparison with real data from the USA is introduced for both married and divorced individuals. This elucidates the significance of the proposed fractional model in providing a deeper understanding of the dynamics and behavior of the solution and its impact on the populations lives. By introducing and analyzing this model, this research contributes to a deeper understanding of the dynamics and implications of marriage and divorce phenomena. The Author(s), under exclusive licence to SocietItaliana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2024. -
Effect of Waste Materials in Partial Replacement of Cement Fine Aggregate and Course Aggregate in Concrete
International Journal of Inventive Engineering and Sciences (IJIES), Vol.2, Issue 4, ISSN: 2319-9598 -
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Flexible Teaching - Learning Systems in Indian Higher Education System through Technology - A Study on Demographic Impact
International Journal of Computer Application Vol. 5, Issue 2, pp 178-182, ISSN No. 2250-1797 -
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Personal automatic panic alert-papa /
Patent Number: 202241049073, Applicant: Meenakshi Malaviya.
A panic attack is a mental impairment condition that causes the loss of many lives. The level of attack can be mild to extreme and can be scaled using biomarkers produced automatically by the body. Some of the biomarkers are heart rate variability, fluid changes like cortisol and adrenaline, breathing rate, air quality index, and core temperature. The data sources for the biomarkers can be clinical scales, environmental factors, sensors, wearable devices, and diagnostic surveys. -
Three-dimensional eveluation model for assessing the effectiveness of knowledge management systems and portals /
Patent Number: 202241049097, Applicant: D Venkata Subramanian.
This invention is related to the field of web and semantic technology. For effective assessment of any Knowledge Management System (KMS), it is important to consider three primary dimensions/factors; being usability, availability and relevance. The proposed invention is a three-dimensional model provides an easy-to-use and comprehensive effectiveness assessment for any KMS or knowledge portals. -
Attention based sentence classification using term frequency-inverse document frequency and n-gram /
Patent Number: 202241048840, Applicant: Nagendra N.
Attention Based Sentence Classification Using Term Frequency-Inverse Document Frequency and N-Gram On an e-commerce platform, products sold have critical and varying reviews from buyers which are difficult to analyze considering the hugenumber of reviews. The proposed model aspect extraction helps in categorizing sentence accurately. -
A low cost and high actuation speed 3D printed prosthetic arm /
Patent Number: 202241047867, Applicant: Sujatha A K. -
Influence of behavioural traits on investment decisions
Behavioural traits exhibited by individual investors play a vital role in the investment decisions made by the investor. In this research, the researcher has identified the different behavioural traits shown by different individual investors by their unique characteristics. The study was conducted on a sample size of 811 individual investors from different parts of Bengaluru. The study classified the investment decisions into four aspects and also identified whether investment decisions vary significantlly due to demographic factors. The study further developed a model which explains the linkages between behavioural traits to investment attitude and investment attitude to investment decisions. Review of literature revealed that there exists a gap in the studies in behavioural finance showing the linkages between an investor's behavioural traits and investment attitude and investment decisions. Even though many research happened to identify the personality traits of individual investors, no significant attempt was made to study the linkage between behavioural traits on investment decisions. In this study, an attempt was made to show how individual investors behavioural traits can affect the investment attitude and how investment attitude can affect the investment decision of an individual investor. Result of the study indicated that behavioural traits influences the investment decisions of individual investors. The model developed in the study also proved a linkage between behavioural traits , investment attitude and investment decisions of individual investors with the moderating effect of demograpic factors. -
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Study of Classical Be Stars in Open Clusters in the Galaxy
Classical Be stars (CBe) in open clusters older than 100 Myr are identifed. The objective is to study their characteristics relating to age, spectral type and evolutionary state. This study compliments with that of Mathew et al. (2008), where they identifed and characterized emission-line stars in open clusters younger than 100 Myr. For this research, we surveyed a sample of newline71 open clusters older than 100 Myr using the slitless spectroscopy technique, with the Himalayan Chandra Telescope (HCT). From the survey we identifed 15 CBe stars from the 11 open clusters older than 100 Myr. Out of 15 CBe stars, 13 CBe stars show Hand#945; in emission. Among these CBe stars, TYC 2679-432-1 is a new detection, belonging to Berkeley 50 open newlinecluster. Two more CBe stars, out of 15 CBe stars, are found to exhibit Hand#945; in absorption for the frst time. This suggests that they might be passing through a disc-loss episode (or transient phase). Apart from our survey of 71 old open clusters, we found additional 16 Be stars from 6 open clusters older than 100 Myr in the literature (which was not observed in the slitless survey due to observation limitations). In addition to HFOSC instrument mounted on HCT, we used Opto Mechanics Research (OMR) spectrograph newlinemounted on 2.3-m Vainu Bappu Telescope (VBT) for taking the slit spectra of CBe stars. We performed the optical spectroscopy of 16 classical Be stars in 11 open clusters older than 100 Myr. Among these 16 stars, 15 newlinewere identifed from our previous slitless spectroscopic study. The remaining one, LS III +47 37b is a new detection, which is confrmed through the present study. Our analysis also suggests that one out of these 16 stars, [KW97] 35-12 might be a weak Hand#945; emitter in nature showing Hand#945; EW of -0.5 Moreover, it is found that the Hand#945; EW for 15 stars is lt -40 in agreement with previous works. Interestingly, we did not observe any FeII emission line or even the OI 8446 emission feature in any of our sample stars.