International Journal of Engineering and Management Research
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Assessing Intellectual Capital Efficiency of Indian Banks: A Comparative Study of Public and Private Sector Banks
Get PDFThe importance of Intellectual Capital has grown as knowledge-based, dynamic, and technologically upgraded businesses have expanded throughout the global world. Intellectual Capital is considered as a major asset for many organizations today. An optimum use of intellectual capital can add to competitive strength of an organization. Banking sector is regarded as a knowledge-intensive industry therefore it is crucial for banking industry to effectively utilize its intellectual capital so that value can be created. The current study aims to analyse the intellectual capital performance of Indian banks in general and make a comparative analysis of the variations in the intellectual capital performance among public and private sector banks in India in particular. Data has been gathered for Top 10 public and private sector banks according to market capitalization and analysed using Value Added Intellectual Capital Methodology developed by Pulic (1998) for a period of 5 years spanning from 2018-2022. The results of the study confirmed that a wide variation exists in intellectual capital performance among Indian banks. Private sector banks exhibited a better performance as compared to public sector banks
An Analytical Study on Factors Influencing Financial Performance of Selected Private Sector Banks in India during Precovid, Covid and Post Covid Period
Get PDFThis study focuses on the financial performance of banks, emphasizing key aspects such as profitability, efficiency, asset quality, and market valuation. Profitability measures how effectively banks generate income in relation to their assets and expenses, which is crucial for sustainability. Efficiency metrics, such as operating cost ratios, indicate how well a bank manages its expenses relative to its income, directly impacting profitability. Asset quality, often evaluated by non-performing assets, plays a significant role in financial health, as poor asset quality can lead to higher risks. Liquidity management ensures that banks can meet their financial obligations, while market valuation reflects investor perception and future expectations. A balanced focus on these factors provides a clear picture of a bank\u27s financial stability, growth potential, and resilience in a competitive financial environment
Navigating the Future: Trends Shaping IT Industry
Get PDFThis abstract explores emerging trends in shaping the IT industry’s future. From artificial intelligence and cybersecurity to decentralized technologies, it delves into the transformative forces guiding IT professionals and businesses toward innovative landscapes. By navigating these trends strategically, the industry can harness new opportunities and overcome challenges in an ever-evolving technological landscape
Examining E-Government Procurement System Adoption by Procuring Entities in Zambia
No full textWhile various African countries, including Zambia, have embarked on the journey of implementing electronic procurement, the full potential of the E-Government Procurement System remains largely untapped, even after its introduction in July 2016. Most Procuring Entities continue to favor manual tendering methods, despite training efforts by the Zambia Public Procurement Authority (ZPPA). This study set out to examine the level of adoption of E-Government Procurement (E-GP) systems by Public Procuring Entities (PEs) in Zambia, identifying the factors affecting adoption of the system using the Technology Acceptance Model (TAM), managerial imperative and organizational imperative. The study also sought to identify how E-GP influence procurement performance. The study employed an exploratory and descriptive research design where 100 questionnaires were administered to purposively sampled Procuring Entities in Lusaka Province. The data collected was analyzed using tables, graphs and charts. The study revealed that E-GP adoption in Zambia remains low, with only 33.33% of PEs currently utilizing the system and the E-GP system in Zambia lacks essential E-procurement tools which hampers its full integration with other online platforms. The study further identified that lack of internal staff skills, technology challenges, resistance to change, and insufficient management support influence the use of the system. Further, the study revealed that E-GP enhances transparency, reduces corruption, and improves procurement efficiency. Therefore, the researcher recommends investing in developing Database Administrators, full integration of the system with other organization systems, ZPPA should completely stop giving deviations to PEs seeking deviation from the use of the system, employ effective Change Management and address technological challenges especially in rural areas
Polarization Insensitive Ultra-Wideband ITO Coated PET Based Metamaterial Microwave Absorber
No full textIn this paper, an ultra-wideband compact flexible polarization-insensitive metamaterial microwave absorber is proposed. Transparent PET (polyethylene terephthalate) was used as the dielectric substrate and ITO (indium tin oxide) is used as the conductor for the air and metamaterial structure. The intended absorber provides above 90% absorption in the range of 8.28 GHz to 17.18 GHz under normal incidence. The designed absorber exhibit 80% absorption at oblique angles of incidence. The unit cell size of designed absorber is 0.51λ × 0.51λ w.r.t the center frequency of absorption band. In addition, the designed structure is polarization insensitive absorber as it exhibit the same absorption performance in both TE and TM polarization under the normal incidence of the electromagnetic wave. The study was carried out as a simulation in the HFSS simulator. The results obtained were compared with other reference studies
Large Language Model (LLM) AI Text Generation Detection based on Transformer Deep Learning Algorithm
No full textIn this paper, a tool for detecting LLM AI text generation is developed based on the Transformer model, aiming to improve the accuracy of AI text generation detection and provide reference for subsequent research. Firstly the text is Unicode normalised, converted to lowercase form, characters other than non-alphabetic characters and punctuation marks are removed by regular expressions, spaces are added around punctuation marks, first and last spaces are removed, consecutive ellipses are replaced with single spaces and the text is connected using the specified delimiter. Next remove non-alphabetic characters and extra whitespace characters, replace multiple consecutive whitespace characters with a single space and again convert to lowercase form. The deep learning model combines layers such as LSTM, Transformer and CNN for text classification or sequence labelling tasks. The training and validation sets show that the model loss decreases from 0.127 to 0.005 and accuracy increases from 94.96 to 99.8, indicating that the model has good detection and classification ability for AI generated text. The test set confusion matrix and accuracy show that the model has 99% prediction accuracy for AI-generated text, with a precision of 0.99, a recall of 1, and an f1 score of 0.99, achieving a very high classification accuracy. Looking forward, it has the prospect of wide application in the field of AI text detection
Taxation, Debt Burden and Economic Growth in Nigeria
No full textThis study examined the relationship among taxation, debt burden and economic growth in Nigeria. Specifically, it investigated the effect of company income tax; value added tax and external debt on GDP growth rate in the country. The study made use of annual data that covered the period of 33 years between 1990 and 2022 and data for this research were sourced from Central Bank of Nigeria (CBN) statistical bulletin (2022). The study employed Autoregressive Distributed Lag (ARDL) co-integration approach as research technique to estimate the model of this work. The result showed that company income tax and debt burden have significant negative impact on gross domestic product growth rate in Nigeria. The result also revealed that VAT has significant positive impact on gross domestic product growth rate in the country. In line with these findings, it was concluded that debt burden effect is not favourable in boosting growth in Nigeria. Therefore, this study recommends that government should make sure that debt acquired is spent on capital projects rather than consumption activities in order to engender greater productivity and expansion. Moreover, government of Nigeria needs to intensify more efforts to ensure proper control and prevention of corruption so as to enhance economic growth and development through taxation and debt
Hybrid Encryption using Symmetric Block and Stream Cipher
Get PDFToday’s digital world is entirely managed on the internet digitally. So to confirm the Confidentiality, Integrity and Availability of users data in transit and at rest using a hybrid encryption in place of using a particular encryption algorithm. In this paper we are going to propose the hybrid approach which is a combination of multiple symmetric block ciphers and stream ciphers primarily AES-GCM, Chacha20 Poly-1305, Multi Fernet and Fernet to assure more security in an acceptable time period
Design of Fuzzy PI Controller for Voltage Regulation in DC Micro-Grid
Get PDFEfficiency, standard and security of a micro-grid can be tested by measuring the voltage regulation in the DC bus. Photovoltaic micro-grid are prone to time invariant and non-linearity due to variation in solar irradiance. Energy storage device is incorporated to overcome such variations. Traditionally using PI controllers, we can control the charging and dis-charging of battery which only regulates voltage in the bus but it fails to control the fluctuations in the DC bus. Therefore, Fuzzy PI controller is proposed in this paper where it employs the intelligent controlling method thereby reducing the fluctuations in the DC bus.
Keywords—Fuzzy, PI, Fuzzy-PI, DC-micro-grid, closed loop control, voltage regulation
Variation of Temperatures with Rheological Properties of Water Based Drilling Fluid Containing Rice Husk and Other Additives
Get PDFDrilling fluids rheological properties such as yield point (YP), plastic viscosity (PV), apparent viscosity (AV) and thixotropic property (Gel strength) are very important during drilling operations to prevent various drilling problems and improve the efficiency of the drilling process. Four water based drilling fluid samples containing different proportions of rice husk, xanthan gum and bentonite were investigated in this study to determine impacts of Sodium hydroxide (NaOH), Sodium chloride (NaCl), Sodium trioxocarbonate (IV) (Na2CO3) and Barite (BaSO4) on their rheological properties and pH values at temperature ranging from 30oC to 50oC. The chemical additives were added to the four samples at a given composition of 1%,2%,3% for (NaOH, NaCl, Na2CO3) and 5%, 10%, 15% for (BaSO4) by mass. The rheological properties of the samples were determined by FANN 35A viscometer using standard methods while pH meter and mud balance were used to measure their pH and density values respectively. The maximum pH, Shear- Stress, and AV corresponds to 11.6, 2.3985 Nm-2 and 112.5 cP respectively were observed in sample A with 10.5g of NaOH at 50oC while the highest YP value of 170 lbf/100ft2 was also observed at 35oC. However, maximum gel strength, GS (10 sec) and 10(min) were observed in the sample A with 190 lbf/100ft2 and 190 lbf/100ft2 for 10.5g of NaOH and 189 lbf/100ft2 and 191 lbf/100ft2 for 52.5g of BaSO4 respectively at temperature of 50oC. Furthermore, the same sample gave the lowest value of mud weight when the sample contain 3.5g of each additive (NaOH, NaCl and Na2CO3) at 35oC corresponds to 8.98 lb/gal. Drilling fluids produced with bentonite, rice husk, xanthan gum with appropriate proportion of NaOH and BaSO4 could be effective water based drilling fluid that can serve effectively in drilling operations at reasonable high temperature