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Essential employable skill sets in management graduates for finance job roles in India
Purpose: There has been an increase in the number of highly qualified management graduates specialized in finance from various esteemed universities in India, thus increasing the competition for finance job roles in the country. This, therefore, brings in the need for the employees or the prospective candidates to mold their soft skills so as to make them desirable by the companies and hence employable. The purpose of this paper is to provide a list of skills required by management graduates to become employable for finance job roles from the perspective of corporate executives. This list will enable prospective candidates to prepare themselves for a career in the field of finance. Design/methodology/approach: The research was carried out through the collection of data from 117 finance professionals with a minimum work experience of 5 years with the help of structured questionnaires. This was then analyzed through factor analysis and the list of 15 factors was obtained. Findings: A list of 15 essential factors was obtained through the analysis of the data. The essential skills included empathetic and judicious behavior, professional etiquette and employee well-being, ethical behavior, conflict management, change analysis and prediction; practicality and organizational presence of mind; social and moral presence of mind; self-confidence and effective written communication; effective interpersonal communication and employee value systems; responsibility and self-awareness; problem diagnosis and problem-solving; real-time work and activity experience; professional development and advancement; technology rationalization and effective information generation. The findings also included that a candidate should be able to effectively present crucial information and should possess practical advisory skills. Originality/value: The study will be highly beneficial for management graduates who have specialized in finance to secure finance job roles in India. This paper will enable the students to prepare themselves in the essential soft skills required for these job roles apart from technical knowledge and hard skills. 2021, Emerald Publishing Limited. -
Essential Oil from Coriandrum sativum: A review on Its Phytochemistry and Biological Activity
Essential oils are hydrophobic liquids produced as secondary metabolites by specialized secretory tissues in the leaves, seeds, flowers, bark and wood of the plant, and they play an important ecological role in plants. Essential oils have been used in various traditional healing systems due to their pharmaceutical properties, and are reported to be a suitable replacement for chemical and synthetic drugs that come with adverse side effects. Thus, currently, various plant sources for essential oil production have been explored. Coriander essential oil, obtained from the leaf and seed oil of Coriandrum sativum, has been reported to have various biological activities. Apart from its application in food preservation, the oil has many pharmacological properties, including allelopathic properties. The present review discusses the phytochemical composition of the seed and leaf oil of coriander and the variation of the essential oil across various germplasms, accessions, at different growth stages and across various regions. Furthermore, the study explores various extraction and quantification methods for coriander essential oils. The study also provides detailed information on various pharmacological properties of essential oils, such as antimicrobial, anthelmintic, insecticidal, allelopathic, antioxidant, antidiabetic, anticonvulsive, antidepressant, and hepatoprotective properties, as well as playing a major role in maintaining good digestive health. Coriander essential oil is one of the most promising alternatives in the food and pharmaceutical industries. 2023 by the authors. -
Essentials of Neuropsychology: Integrating Eastern and Western Perspectives
This comprehensive textbook offers a holistic integration of both the research and clinical aspects of neuropsychology. Combining Eastern and Western perspectives, it explores latest developments, current scope, and significant challenges in the field to provide a detailed understanding of brain and behavior from research and intervention methods to rehabilitation and applications. Each chapter in the book includes an introduction to the topic, an overview of the latest research in the field, and a discussion of the future directions that research can take. The book is structured into three parts, each addressing specific aspects of the field. Part 1 introduces the readers to the fundamental principles of neuropsychology, including the available methods of assessment, brain anatomy, and its connection with human psychology. It provides an indepth look at neuropsychological and electrophysiological methods and their applications in clinical practice. Part 2 focuses on the brain and cognition, examining the complex mechanisms that underlie cognitive behavior. The chapters include neuropsychology of various executive functions, memory, and social cognition. Part 3 delves into clinical disorders and their biological basis. This section explores the disorders that have a direct relationship between brain functioning and behavior, offering valuable insights into their diagnosis, treatment, and management. It is an essential resource for both students in clinical neuropsychology and professionals seeking to expand their knowledge and stay abreast of the latest developments. 2024 K. Jayasankara Reddy. -
Establishing the Cornerstones of Ethical AI in Education
Establishing the cornerstones of ethical AI in education is essential for fostering an inclusive and equitable learning environment. Ethical AI can enhance personalization, improve access to resources, and empower educators with data-driven insights. Key principles include transparency, accountability, fairness, and privacy. Transparency ensures that AI algorithms are understandable and their decisions are explainable, allowing educators and students to trust the technology. Accountability involves clear guidelines on who is responsible for AI's actions and decisions. Fairness seeks to prevent biases that can adversely affect marginalized groups, ensuring equal opportunities for all students. Privacy is crucial to protect sensitive data and safeguard students' rights. Educators, policymakers, and technologists must collaborate to establish frameworks that prioritize these ethical foundations, promoting responsible AI integration. By embedding these cornerstones into the educational system, we can harness AI's potential while safeguarding the rights and dignity of all learners. Copyright 2026, IGI Global Scientific Publishing. Copying or distributing in print or electronic forms without written permission of IGI Global Scientific Publishing is prohibited. Use of this chapter to train generative artificial intelligence (AI) technologies is expressly prohibited. The publisher reserves all rights to license its use for generative AI training and machine learning model development. -
Establishing the effectiveness of intervention module on positive youth development among adolescent in India
Purpose: Positive Youth Development (PYD) originated in the west as a pragmatic approach to teaching youth skills and attributes to develop into healthy, productive, and engaged adults. This approach proposes that youth with more developmental resources experience increased academic success, better economic prospects, are more civically engaged, and experience optimal well-being and functioning in the long term. Over time, the need for administering evidence-based interventions was felt by practitioners, researchers, and policymakers. With this background and the absence of research in PYD in India, the present research was carried out to develop and test an intervention module for its effectiveness in bringing about a positive change among youth. Approach: The present research is quantitative in nature with pre-test post-test control group design. The PYD intervention program included activities, non-profit visits, community building exercises, and mentoring programs, creating self-actualizing youth. The paper deliberates on the findings of a six-month interventional program based on the Six Cs model of Learner (2005). Findings: The independent sample t-test was significant, for overall PYD, t (98) = 3.45, p <. 001. and on all the dimensions of PYD, indicating that intervention was effective as there are statistically significant differences among experimental and control groups. Value: The intervention was experientially positive for the students, valued, and commended by the school authorities. The paper recommends enhancing psychological intervention research in school settings, including multiple approaches to address holistic student development, facilitating peer relationships and mentoring, developing resources, and enhancing growth opportunities. 2021 RESTORATIVE JUSTICE FOR ALL. -
Establishment of Mucuna pruriens (L.) DC. callus and optimization of cell suspension culture for the production of anti-Parkinsons drug: L-DOPA
It has become a huge challenge to satisfy the emerging demand for levo-3,4-dihydroxyphenylalanine (L-DOPA), an anti-Parkinsons drug in the international drug market. This is attributed to the conventional methods of extraction from the natural sources of Mucuna spp., which has a low germination rate, less viable seeds, and an irritating, itching trichomes on the pods. The need for an alternative method with continuous supply of L-DOPA without affecting the natural biodiversity has been achieved through in vitro procedures. However, there has not been a systematic approach to optimize the cultural conditions for the maximum productivity. Hence, in this study, we aim at optimizing the cultural conditions for high biomass and L-DOPA production. Various plant growth regulators such as auxins (indole acetic acid, indole butyric acid, picloram [Pic], naphthalene acetic acid, and 2,4-Dichlorophenoxyacetic acid), cytokinins (kinetin, benzylaminopurine, 2-isopentenyl adenine, and thidiazuron), and their combinations have been experimented to figure out the best combination to induce callus. At the same time, various factors such as growth kinetics, different media (MS, Gamborgs-B5, Chus-N6, and Nitsch and Nitsch), media strength (0.5, 1.0, and 2.0X), effect of different macro elements and their strength (0, 0.5,1, 1.5, 2, and 3X), inoculum density, different hydrogen ion concentration (pH), ammonium/nitrate concentration, different sucrose concentrations (010%), and other carbon sources have been investigated in detail for optimizing the cell suspension culture. It was found out that 0.5 mg/L Pic gave the best results for callus induction. With respect to biomass, 6-week growth period (135.7 g/L fresh weight [FW]), 1.0X MS media (126.87 g/L FW), 1.5X magnesium sulfate (266.3 g/L FW), ammonium/nitrate ratio of 21.57/18.8 mM (131.4 g/L FW), pH of 6.0 (129.47 g/L FW), 100 g/L of inoculum (222.2 g/L FW), 3% sucrose concentration (125.6 g/L FW), and 3% glucose (183.4 g/L FW) as other carbon sources were found to give the highest biomass. In terms of L-DOPA production, 3-week growth period (5.90 mg/g dry weight [DW]), 0.5X B5 medium (4.27 mg/g DW), 2.0X calcium chloride (5.06 mg/g DW), ammonium/nitrate ratio of 21.57/18.8 mM (3.44 mg/g DW), pH 6.5 (4.02 mg/g DW), inoculum density of 30 g/L (4.79 mg/g DW), and 2% sucrose (5.17 mg/g DW) resulted in a higher L-DOPA yield. 2022 Rakesh and Praveen. -
Esther reimagined: feminist essence in Sara Josephs narrative
Gynocentric approaches to biblical women uncover narratives of liberation and empowerment. These perspectives highlight the gaps and omissions in the representation of women within the overarching metanarrative of the Bible. Sara Josephs novel, Esther, serves as a feminist reimagining of the biblical story of Esther, offering a pluralistic lens through which to examine the experiences and lives of women against the backdrop of patriarchy. This paper utilises the feminist hermeneutic method to critically engage with the narrative, drawing on the feminist frameworks established by scholars such as Elizabeth Fiorenza and Esther Fuchs. It argues that biblical women can be reinterpreted as positive role models, saviours, heroines, and vital contributors to an extraordinary narrative of survival and redemption. 2024 Informa UK Limited, trading as Taylor & Francis Group. -
Esther reimagined: feminist essence in Sara Josephs narrative
Gynocentric approaches to biblical women uncover narratives of liberation and empowerment. These perspectives highlight the gaps and omissions in the representation of women within the overarching metanarrative of the Bible. Sara Josephs novel, Esther, serves as a feminist reimagining of the biblical story of Esther, offering a pluralistic lens through which to examine the experiences and lives of women against the backdrop of patriarchy. This paper utilises the feminist hermeneutic method to critically engage with the narrative, drawing on the feminist frameworks established by scholars such as Elizabeth Fiorenza and Esther Fuchs. It argues that biblical women can be reinterpreted as positive role models, saviours, heroines, and vital contributors to an extraordinary narrative of survival and redemption. 2024 Informa UK Limited, trading as Taylor & Francis Group. -
Estimating Function Approach for Modelling Non-Gaussian Time Series
In this study, an effective technique for estimating parameters of autoregressive models with non-Gaussian errors has been presented. For non-Gaussian error distributions, classical techniques like maximum likelihood estimation (MLE) are found to be computationally intractable. To address this issue, an estimating function (EF) technique has been utilized, which effectively estimates the model parameters by taking advantage of the error structure. Specifically, AR(1) with logistic errors has been used, and the optimal estimating functions have been derived by constructing martingale-based estimating equations tailored to logistic errors. A hybrid AR(1)-ANN model has also been developed to integrate the strengths of both linear AR(1) and nonlinear ANN models. The robustness and efficiency of the pro-posed approach in parameter estimation have been investigated using simulations, comparing its mean squared error (MSE) and bias to those of MLE. The applicability of this approach has been further demonstrated using both simulated and real datasets. The results show that, in the presence of non-Gaussian errors, the EF method provides a computationally efficient and reliable alternative to classical estimation methodologies. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
Estimation of ground state and excited state dipole moments of a novel Schiff base derivative containing 1, 2, 4-triazole nucleus by solvatochromic method
A novel schiff base derivative containing 1, 2, 4-triazole moiety (NBTMPA) has been synthesized from 4- [1, 2, 4] triazol-1-ylmethyl-phenylamine and 4-nitrobenzaldehyde in the presence of glacial acetic acid in an ethanolic medium. The absorbance and fluorescence spectra of (4-nitro-benzylidene)-(4- [1, 2, 4] triazol-1-ylmethyl-phenyl)-amine (NBTMPA) were recorded in various solvents to investigate their solvatochromic behaviour. Dipole moments of the two electronic states of NBTMPA were calculated from solvatochromic spectral shifts. These were correlated with the refractive index (n) and dielectric constant (?) of various solvents. Theoretical calculations were performed to estimate the excited state dipole moment on the basis of different solvent correlation methods, like the Bilot-Kawski, Bakhshiev, Lippert-Mataga, Kawski-Chamma-Viallet and Reichardt methods. The dipole moment in the excited state was found to be higher than that in the ground state due to a substantial redistribution of electron densities and charges. Using a multiple regression analysis, the solvent-solute interactions were determined by means of Kamlet Taft parameters (?, ?, ??). Computational studies were performed by Gaussian 09 W software using a time-dependent density functional theory (TDDFT) in order to calculate the atomic charges and frontier molecular orbital energies in the solvent phase. The calculations indicated that the dipole moment of the molecule in an excited state is much higher than that in a ground state. The chemical stability of NBTMPA was determined by means of chemical hardness (?) using HOMO-LUMO energies. The reactive centres in the molecule were also identified by molecular electrostatic potential (MESP) 3D plots as a result of a TDDFT computational analysis. 2015 Elsevier B.V. -
Estimation of Ground-State and Singlet Excited-State Dipole Moments of Substituted Schiff Bases Containing Oxazolidin-2-one Moiety through Solvatochromic Methods
Absorption and fluorescence studies on novel Schiff bases (E)-4-(4-(4-nitro benzylideneamino)benzyl)oxazolidin-2-one (NBOA) and (E)-4-(4-(4-chlorobenzylidene amino)benzyl)oxazolidin-2-one (CBOA) were recorded in a series of twelve solvents upon increasing polarity at room temperature. Large Stokes shift indicates bathochromic fluorescence band for both the molecules. The photoluminescence properties of Schiff bases containing electron withdrawing and donating substituents were analyzed. Intramolecular charge transfer behavior can be studied based on the influence of different substituents in Schiff bases. Changes in position and intensity of absorption and fluorescence spectra are responsible for the stabilization of singlet excited-states of Schiff base molecules with different substituents, in polar solvents. This is attributed to the Intramolecular charge transfer (ICT) mechanism. In case of electron donating (?Cl) substituent, ICT contributes largely to positive solvatochromism when compared to electron withdrawing (?NO2) substituent. Ground-state and singlet excited-state dipole moments of NBOA and CBOA were calculated experimentally using solvent polarity function approaches given by LippertMataga, Bakhshiev, Kawskii-Chamma-Viallet and Reichardt. Due to considerable ?- electron density redistribution, singlet excited-state dipole moment was found to be greater than ground-state dipole moment. Ground-state dipole moment value which was determined by quantum chemical method was used to estimate excited-state dipole moment using solvatochromic correlations. Kamlet-Abboud-Taft and Catalan multiple linear regression approaches were used to study non-specific solute-solvent interaction and hydrogen bonding interactions in detail. Optimized geometry and HOMO-LUMO energies of NBOA and CBOA have been determined by DFT and TD-DFT/PCM (B3LYP/6-311G (d, p)). Mulliken charges and molecular electrostatic potential have also been evaluated from DFT calculations. 2016, Springer Science+Business Media New York. -
Estimation of secured wireless sensor networks and its significant observation for improving energy efficiency using cross- learning algorithms
Wireless sensor networks (WSNs) have as of late been created as a stage for various significant observation and control applications. WSNs are continuously utilized in different applications, for example, therapeutic, military, and mechanical segments. Since the WSN is helpless against assaults, refined security administrations are required for verifying the information correspondence between hubs. Because of the asset limitations, the symmetric key foundation is considered as the ideal worldview for verifying the key trade in WSN. The sensor hubs in the WSN course gathered data to the base station. Despite the fact that the specially appointed system is adaptable with the variable foundation, they are exposed to different security dangers. Grouping is a successful way to deal with vitality productivity in the system. In bunching, information accumulation is utilized to diminish the measure of information that streams in the system. 2021 by IGI Global. -
Estimation of spectroscopic parameters and TL glow curve analysis of Eu3+-activated CaY2O4 phosphor
The solid-state reaction method was utilised to create a down-conversion phosphor in an air environment in CaY2O4:Eu3+ nanocrystalline material. The calcination temperature was set at 1000 C, and the sintering temperature was set at 1300 C. Following annealing, confirmation of the crystallinity quality of the phosphor was accomplished by the use of X-ray diffraction analysis. The particle size was predicted to be 43.113 nm using Scherrer's formula. To produce down-conversion luminescence spectra, an excitation wavelength of 247 nm was applied with a fluorescence spectrophotometer. The PL got increasingly intense as the concentration of the dopant increased. The maximum intensity was measured at 2.0 mol% of Eu3+ ion, which gradually decreased as the concentration increased because of concentration quenching. To analyse spectrophotometric peak determinations, the approach developed by the Commission Internationale de l'lairage (CIE) was used. Thermoluminescence (TL) glow curve analysis of the CaY2O4:Eu3+-doped phosphor manufactured here revealed a wide TL centred at 225 C, which comprised of so many peaks that may be extracted by the computerised glow curve deconvolution (CGCD) approach using glow-fit software. The associated kinetic parameters were then determined. The prepared phosphor may be useful for application in various display devices upon excitation by 247 nm; the prominent 613 nm peak of the Eu3+ ion (5D0 ? 7F2) electric dipole transition features a red component. CaY2O4:Eu3+ phosphors show promise as materials for potential use in phosphor-converted white LEDs in the field of solid-state lighting technology. The linear connection that the TL glow curve has with UV dose provides evidence for its possible use in dosimetry. 2023 The Royal Society of Chemistry. -
Estimation of state of charge considering impact of vibrations on traction battery pack
Interest towards electric vehicle adoption is on the rise due to the lower running and maintenance cost it offers, along with zero tailpipe emissions. Range anxiety is one of the only concern that affects the adoption of electric vehicles. The state of charge of the traction battery pack has to be accurately determined and provided to the user to avoid range anxiety. Minute battery parameters has to be considered to improve the accuracy of the state of charge determination. In order to overcome the problem of range anxiety, an innovative strategy that takes into account how vibrations affect the performance of EV batteries is developed in this research. By doing this, the state of charge estimation precision is improved and thereby raises the drivers faith in electric vehicles. The impacts and vibrations felt on the traction battery pack during driving would lead to heat generation. The heat generated is found to be highest when the vibrations resonate at the natural frequencies of the traction battery pack. The natural frequency of the battery pack is considered when the battery is kept in the battery chamber of the two-wheeler electric vehicle. The vibrations at natural frequency produces heat which is accounted for when the state of charge is determined. To obtain accurate state of charge estimation, a Kalman filter-based approach is used. The Kalman filter-based estimation uses the conventional methods which are the open circuit voltage method and the Coulomb counting method to improve the estimation process along with the consideration of the heat component due to vibrations and impact. The vibration analysis is performed using MATLAB, while the state of charge determination is implemented in hardware and the Kalman estimation done using Python. The system is modelled on an electric two-wheeler platform and the testing is done to compare the state of charge accuracy of the open circuit voltage method, the Coulomb counting method and the Kalman filter-based estimation approach. The inclusion of the vibrational heat analysis for State of Charge estimation in the hardware testing of the electric two-wheeler provides an accurate state of charge value. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. -
Estimation of stellar parameters and mass accretion rate of classical TTauri stars from LAMOST DR6
Classical T Tauri stars (TTS) are low-mass pre-main sequence stars with an active circumstellar environment. In this work, we present the identification and study of 260 classical TTS using LAMOST Data Release 6, among which 104 stars are newly identified. We distinguish classical TTS from giants and main-sequence dwarfs based on the log g values, and the presence of H ? emission line and infrared excess that arises from the circumstellar accretion disk. We estimated the mass and age of 210 stars using the Gaia colormagnitude diagram. The age is from 0.1 to 20 Myr, where 90% of the stars have age <10 Myr and the mass ranges between 0.11 and 1.9 M? . From the measured H ? equivalent widths, we homogeneously estimated the mass accretion rates for 172 stars, with most values ranging from 10 - 7 to 10 - 10M? yr - 1 . The mass accretion rates are found to follow a power law distribution with the mass of the star, having a relation of the form M?acc?M?1.430.26 , in agreement with previous studies. 2023, Indian Academy of Sciences. -
Estimation of System Reliability Based on Inverted Exponentiated Pareto Distribution Under a Progressively First-Failure Censored Scheme With Application
This article explores and derives the estimation of the multicomponent stressstrength (MSS) reliability parameter, assuming that the samples are coming from the inverted exponentiated Pareto distribution using a progressively first-failure censored scheme. To estimate the MSS reliability, both classical and Bayesian approaches are adopted. In the classical approach, the maximum likelihood and the asymptotic confidence interval estimation methods are used. The Bayes estimates with their corresponding highest posterior density credible interval estimates are obtained under the Bayesian approach, under the linear exponential loss function under both the noninformative and gamma informative priors. In addition, to compute the Bayes estimates, Markov chain Monte Carlo methods are used. To compare the efficacy of the different estimation strategies adopted in this paper, a Monte Carlo simulation study is carried out. To demonstrate the applicability of the proposed methodology, two real-life scenarios resulting/arising from two different carbon fiber data sets arere-analyzed. 2025 The Author(s). Quality and Reliability Engineering International published by John Wiley & Sons Ltd. -
Estimation of the black hole spin in LMC X-1 using AstroSat
LMC X-1, a persistent, rapidly rotating, extra-galactic, black hole X-ray binary (BHXB) discovered in 1969, has always been observed in its high soft state. Unlike many other BHXBs, the black hole mass, source distance, and binary orbital inclination are well established. In this work, we report the results of simultaneous broad-band spectral studies of LMC X-1 carried out using the data from Soft X-ray Telescope and Large Area X-ray Proportional Counter aboard AstroSat as observed on 2016 November 26 and 2017 August 28. The combined spectrum was modelled with a multicolour blackbody emission (diskbb), a Gaussian along with a Comptonization component (simpl) in the energy range 0.7-30.0 keV. The spectral analysis revealed that the source was in its high soft state (? = 2.67+0.24-0.24 and ? = 2.12+0.19-0.20) with a hot disc (kTin = 0.86+0.01-0.01 and kTin = 0.87+0.02-0.02). Thermal disc emission was fitted with a relativistic model (kerrbb) and spin of the black hole was estimated to be 0.93+0.01-0.01 and 0.93+0.04-0.03 (statistical errors) for the two Epochs through X-ray continuum-fitting, which agrees with the previous results. 2020 The Author(s) Published by Oxford University Press on behalf of the Royal Astronomical Society. -
Estimation of the size and structure of the broad line region using Bayesian approach
Understanding the geometry and kinematics of the broad line region (BLR) of active galactic nuclei (AGN) is important to estimate black hole masses in AGN and study the accretion process. The technique of reverberation mapping (RM) has provided estimates of BLR size for more than 100 AGN now; however, the structure of the BLR has been studied for only a handful number of objects. Towards this, we investigated the geometry of the BLR for a large sample of 57 AGN using archival RM data. We performed systematic modelling of the continuum and emission line light curves using a Markov chain Monte Carlo method based on Bayesian statistics implemented in PBMAP (Parallel Bayesian code for reverberation-MAPping data) code to constrain BLR geometrical parameters and recover velocity integrated transfer function. We found that the recovered transfer functions have various shapes such as single-peaked, double-peaked, and top-hat suggesting that AGN have very different BLR geometries. Our model lags are in general consistent with that estimated using the conventional cross-correlation methods. The BLR sizes obtained from our modelling approach is related to the luminosity with a slope of 0.583 0.026 and 0.471 0.084 based on H ? and H ? lines, respectively. We found a non-linear response of emission line fluxes to the ionizing optical continuum for 93 per cent objects. The estimated virial factors for the AGN studied in this work range from 0.79 to 4.94 having a mean at 1.78 1.77 consistent with the values found in the literature. 2021 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society. -
Estimation of Vehicle Distance Based on Feature Points Using Monocular Vision
In this digital era safety and security have the highest precedence, the advanced driver assistance system is the latest trend and where many challenges are open for researchers. Vehicle to vehicle distance estimation is one of the most important challenges to provide the security and safety alerts for the driver. In order to achieve this, image of the front vehicle is captured using the single camera under monocular vision to estimate the vehicle distance. Then three key steps are designed to estimate the vehicle distance: extracting and locating the key features of the vehicle, characteristic triangle is drawn between those features to calculate pixel area and develop the measuring formula to calculate the distance. For efficient feature extraction and localizing of the feature position, conventional AdaBoost algorithm is utilized to find the strong features for scalable samples. Distance measurement formulation is used to derive the correlation between the pixel area and distance by considering the different parameters from the prototype of pinhole camera, camera standardization and plotting of area. Formula is developed to estimate the optimum moving distance between vehicles to vehicle. After the experimental analysis, the accuracy rate is improved and time complexity satisfies the precision. 2019 IEEE. -
Ethical AI in HR: Navigating the Data-driven Frontier
The integration of artificial intelligence (AI) in human resources (HRs) presents significant opportunities while raising ethical dilemmas for an organisation. This chapter examines challenges in AI-enhanced HR concerning bias mitigation, data protection, transparency and governance through literature review, and real-life examples. Through a mixture of academic research and industry use cases including Amazon's AI hiring tool, HireVue video interview analysis, IBM Watson Career Coach and Unilever recruitment powered through AI study analyses AI impact on HR functions and approaches to address ethical concerns. This research offers an advanced methodological framework for ethical implementation of AI in HR which is based upon eight foundational components including interdisciplinary collaboration, bias minimisation, transparency and explainability, ethics-based privacy policies governance, continuous monitoring improving engagement with stakeholders, and adaptive trust-enhancing policy. The model weights a set of quantitative suggestion, new metrics such as Team Integration Score (TIS) for assessing cross-functional relationship success. Synthesis of multiple academic sources and case studies mentioned the chapter plan on responsible AI implementation in HR through stakeholder engagement, transparency practices, and review mechanisms. This approach balances technological advancement and ethical considerations within AI-driven HR processes. The significance of this chapter is to bring together academic sources and experts from the industry to provide a complete guide of integrating global best practices for implementing ethical AI. The proposed framework serves as a valuable tool for HR AI practitioners and researchers offering a structured approach to the ethical AI deployment while remaining adaptable to emerging challenges and opportunities in this rapidly growing area. 2026 by A.R. Deepti, B. Manimekala, Farzeen Basith, Vivek K. and Vijayanandh Rajamanickam. All rights reserved.