International Journal of Engineering and Management Research
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Impact of Deepfake Technology on Digital World Authenticity: A Review
Deep fake technology is an emerging technology that creates fake videos by using artificial intelligence (AI) with the facial expression and lips sing effect. Deep fake technology is widely used in different scenarios with different objectives. Deep fake technology is used to make a highly realistic fake video that can be widely used to spread the wrong information or fake news by regarding any celebrity or political leader which is not created by them. Due to the high impact of social media, these fake videos can reach millions of views within an hour and create a negative impact on our society. This technology can be used by criminals to threaten society by making such deep fake (AI) videos. The results suggest that deepfakes are a threat to our celebrities, political system, religious beliefs, and business, they can be controlled by rules and regulations, strict corporate policy and awareness, education, and training to the common internet users. We need to develop a technology that can examine such types of video and be able to differentiate between real and fake video. Government agency also needs to create some policy to regulate such technology so that monitoring and controlling the use of this AI technology can be managed
A Study on Derivative Market in India
Since 1991, thanks to economic policy liberalization, the Indian economy has entered an era in which Indian businesses can no longer disregard global markets. Prior to the 1990s, the prices of a variety of commodities, metals, and other assets were carefully regulated. Others, which were not rolled, were primarily dependant on regulated input costs. As a result, there was no uncertainty and, as a result, no price fluctuations. However, in 1991, when the process of deregulation began, the prices of most items were deregulated. It has also resulted in the exchange being partially deregulated, easing trade restrictions, lowering interest rates, and making significant advancements in foreign institutional investors\u27 access to the capital markets, as well as establishing market-based government securities pricing, among other things. Furthermore, portfolio and securities price volatility and instability were influenced by market-determined exchange rates and interest rates. As a result, hedging strategies employing a variety of derivatives were exposed to a variety of risks. The Indian capital market will be examined in this study, with a focus on derivatives
A Comparison Analysis between a Fixed and Multi-Step Size MPPTs for PV System under Variable Irradiance and Real Solar Curve
The control of the power electronic interfaces is essential to ensure the high efficiency of the photovoltaic system. In a DC stand-alone photovoltaic system, the boost converter is the most used. A regulator named maximum Power Point Tracking (MPPT) is inserted to control the ON/OFF states. Incremental conductance (In-Cond) is widely used to extract the maximum power point (MPP) from the Photovoltaic panel. It presents more efficiency and reliability compared to the conventional perturb and observes (P&O) technique. However, it presents power loss during the variations appearing during changes in weather conditions, due to the use of fixed step size. Accordingly, the present paper proposes a Multi-step size In-Cond to adapt the PV system to any change of the applied irradiance and to overcome the drawbacks of the existing In-Cond. Indeed, the present contributions introduced two-steps sizes instead of one. The principle is to design a step size value when approaching the MPP and a large value when the operating point is far from the MPP. Simulations and comparisons through MATLAB/Simulink under various applied conditions show that the proposed technique outperforms the conventional Inc-Cond in terms of convergence speed, response time, stability, and performance
A Case Study on Small Town Big Player – Enjay IT Solutions Ltd., Bhilad
Adequately trained Manpower is a problem that affects the IT industry as a whole, but it is particularly acute for Enjay IT Solution. Enjay\u27s location in a semi-urban or rural area makes it even more difficult to find a talented employee with the right skills. As the competition for skilled workers grows, it becomes more difficult to attract and keep those workers who have the requisite training and experience
A Conceptual Study of Electric Vehicle Market in India
Research into electric vehicles (ev) as a potential means of reducing the greenhouse effect is extensive. Thanks to improvements in power electrics, energy storage, and support, the plug-in hybrid electric vehicle (phev) offers competitive driving range and fuel economy when compared to vehicles powered by internal combustion engines (icev).the various sorts of evs\u27 operational procedures will be detailed in this review study. We\u27ll also talk about battery and supercapacitor technology as potential ways to boost phevs\u27 energy capacity
Review on Big Data Analysis on COVID-19
Big data analytics is in transforming stage and it will continue to grow and contribute in different area like health. In recent past we have been gone through biggest health issue of the century and it taught us a lesson that in this modern world, technology with relevant data can help to us reduce any human challenge. COVID 19 is that health issue which we faced and suffered a lot. Big data provided us a platform which help us to create an accurate and most trusted data base to analyze, track and tackle this situation. Big data provides an elaborate set of attributes, details of infected patient in very explanatory
Service Quality in Community Health Centre
The present study has been conducted to understand the level of awareness of people toward quality of services available at CHC level. In order to achieve the objective of this research work, the researcher applied SERVQUAL model through five factors such as Tangibility, Assurance, Responsiveness, Reliability and Empathy. In this way, primary data have been collected from 25 patients at Madina CHC. Further, the collected data have been analysed with the help of Likert five point scale and other statistical tools and techniques. The results of this study suggested that CHC administration should make some more efforts to improve the service quality in terms of Empathy and Reliability
Development of Photovoltaic Power Generation Prediction Model using ANFIS
Prediction of photovoltaic (PV) performance is important for energy management practices. The power produced from renewable energy sources is uncertain in nature as it is subjected to continuous changing weather conditions. Hence accurate prediction of output power from these sources is difficult task. In this paper Adaptive Neuro-Fuzzy Inference System (ANFIS) based forecast model for predicting the PV power generation is developed. The proposed model is based on back propagation hybrid learning algorithm of ANFIS with four inputs and one output. Experimentally measured input data of 20 KW. PV system installed at Nashik, Maharashtra, India is used for developing prediction model. The inputs are solar radiation (Rad), ambient temperature (Temp), relative humidity (Hum) and day of year for measurement. Photovoltaic power generation is the output of the model. This data is utilized in the training and testing of the proposed model. Results obtained confirm the ability of the developed ANFIS model for assessing the power produced with reasonable accuracy. A comparative study has done between regression analysis and ANFIS. This shows that the ANFIS-model performs much better than regression. The advantage of the ANFIS model is that they do not need more parameters or complicate calculations unlike implicit models. The developed model could be used to forecast the profile of the produced power in uncertain whether conditions. The error due to ANFIS prediction model for energy produced from the given system considered in this research is 6.14 % which is much better when compared with regression analysis whose error is 16 %. The results indicate that this model can potentially be used to estimate and predict PV solar output power
Computerized System to Manage Business Functionalities for a Gymnasium
Sri Lanka as a still developing country must keep up with modern technologies. Computers in this advanced world are more and more famous and turning essential to our way of life. In these modern days, people are very much concerned about their health and diet, also they are looking for a gym. This Gymnasium management system is a combination of wellness centers designed to deal with customers easier and more efficiently. A gymnasium is a must-go place for any person who loves to live a fit and healthy bodybuilding lifestyle. This system is developed for Fitness Factory Gymnasium located in the Galle district in Sri Lanka. The gym is equipped with all modern machinery and other supporting items to provide better service to its customers. So, the number of members is increasing day by day and the gym management has decided to move to an IT solution to handle the increasing volumes. Improvement was finished after distinguishing client needs utilizing different information assortment innovations. Because of the prerequisites, the product was planned and created with an iterative and steady advancement technique. The system was created determined to supplant the ongoing manual framework utilized in the fitness center. The framework expresses that the fitness center\u27s assets ought to be effectively available to its individuals while engaging the fitness center\u27s administration cycle. Key functions such as trainer’s membership management, customer management, workout plans management (workout management), Customer workout schedule management, Nutrition plan management (Customer meal management), trainer leave management, Q & A management, BMI Calculator, memo and reminder management, inquiry management and report generation were identified. Access control is achieved with a username and password to the admin, trainer, and customer. The system can suggest the best workout schedules for the members. Researchers’ primary goal in developing this system is to make things that were previously done manually in the gym easier. Researchers expect that all system users will benefit from a better service
Effectiveness of Cutting-Edge Technology for Motel Management System
The online motel management system was designed regarding the client Delicacy Inn, Galle, Sri Lanka. In the present, the client is using a manual system to manage their large amount of data which is having several issues. The proposed system allows users to store and manipulate all the data in the database while making the data handling process in to a very effective manner. The proposed system is developed to cover the process of the motel such as employee management, customer & room management, food & beverages management and transportation management. Human Resource manager is responsible of adding, updating, and deleting employee details. Human Resource manager is able to mark the leave consideration and the salary details of the employees. Human Resource manager can search relevant employee details. Customer Resource manager is responsible of adding, updating, and deleting customer details the customers can register and log in to the system. Customers can order foods, order vehicle for transportation and view bills through their online login. Transportation manager is able to manage the vehicle details and managing the process of that. Food and beverages manager are responsible of managing food items and orders given by the customers. A web application was mainly developed to ensure that the internal procedures in the motel management system are processing well. The system is developed with the intention of reducing data manipulation errors in the current manual process, resulting in considerable development in human resource utilization. The system is designed in a user-friendly manner, with a reliability, in an efficient way and its statistics all the client requirements