Volume 11 | Issue 3 |

 Abstract

digital Rashtriy Mahila

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digital Rashtriy Mahila

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Creative Commons Attribution 4.0 and The Open Definition

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To remove the moisture content from cotton seed, different types of drying mechanisms are used. Out of them rotary cotton seed dryer is most popular and effective tool. It removes moisture content till 6-8 % which was 23-25% in initial stage. There are several farmers and industrialist which use sun drying process. But it consumes much time. Hence drying of cotton seed with the help of rotary dryer will be the effective way. The rotary cotton seed dryer is an industrial as well as agricultural used dryer employed to decrease or minimize the liquid moisture content of the cotton seeds. Drying is may be the oldest and most commonly and simply use technique in the processing of the cotton seed for removing the cotton seed oil and cotton seed milk of decent quality. In this thesis we have an abstract based on the study of rotary cotton seed dryer and improve the efficiency. Nowadays industries optimization of current process is accepted in progress manner behind industry it is found that due to optimization improve the efficiency and reduced working time and makes the system fruitful for the industry. In this study the existing rotary dryer heat transfer with the help of CFD Tool like ANSYS Fluent. For this purpose, we will consider three piping-passage rotational velocities i.e. 10, 15 and 20 rad/s. Pressure, Velocity, Turbulence and Temperature change will be recorded for each case. Recorded results will be compared with moisture extraction process time. Based on it, final conclusion will be drawn.

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Rotary Cotton Seed Dryer, Moisture Content, CAD Model, CFD Analysis

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Derivative trading perception of students to achieve the objectives research is conducted and output is derived with the help analysis using charts and percentage.

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Derivative trading

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Technology, which is increasing with time, entirely controls how people live nowadays. It is used all throughout daily life to suit our demands. By utilizing cutting-edge technology, we may enhance both living comfort and measures for health monitoring. In this study, we are using technology to spot serious health conditions so that the patient can get the best treatment possible at the correct moment. While a person is alone at home or on the road, alerting messages about their position are delivered to their mobile phone when their body temperature or heart rate changes. To retrieve the recipient's heart rate, we may also send an SMS using a pre-defined syntax. Here, the GSM modem sends us a warning message, and GPS may be used to determine the person's location. This GPS receiver may provide latitude and longitude information about the place where it was located.

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PULSE MEASUREMENT, TEMPERATURE MEASUREMENT, CARDIAC HEALTH MONITORING, GPS, GSM, MESSAGE ALERTS, POSTION LOCATING.

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Creative Commons Attribution 4.0 and The Open Definition

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Online shopping, e-shopping, customer satisfaction

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Creative Commons Attribution 4.0 and The Open Definition

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Technology is important these days part of everyone's life. Healthcare may be similar Regulated by technology. At the hospital Patient health can be monitored through many senses a device that can connect to the Internet It helps to get regular patient information. The Internet of Things is acting as a catalyst for healthcare Plays an important role in a wide range of medical field applications. In this project, we created an IoT-based patient health monitoring system with ESP8266. Thing Speak is the IoT platform used in this project. Thing Speak is an open-source Internet of Items (IoT) application and API for storing and retrieving data from things via the Internet or a Local Area Network using the HTTP protocol. This IoT device may read the heart rate and assess the temperature around it. It continuously measures the pulse rate and ambient temperature and sends the data to an IoT platform

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Health Monitoring System, Controller, Pulse Sensor, Temperature Sensor

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Datafication has become an increasingly prevalent trend in the digital age, transforming the way we interact with technology and consume media. One industry that has been heavily impacted by datafication is Over-the-Top (OTT) services, which leverage user data to generate personalized content recommendations. While these recommendations have improved the viewing experience for many users, there are also concerns around privacy and security risks associated with datafication. This research paper examines the impact of datafication on OTT services and the experiences and perceptions of users towards personalized content recommendations. A survey and interviews were conducted with OTT users to gather insights into their usage habits, level of comfort with data collection, trust in algorithms, and more. The findings suggest that while users generally appreciate the benefits of personalized recommendations, they also desire more transparency and control over their data. This paper contributes to the growing literature on datafication and its impact on user privacy, offering insights into the ethical implications of data-driven technologies in the context of OTT services.

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Datafication, OTT services, Streaming services, User data, Data privacy, User experience

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The temperature of turbine blades in advanced gas turbines is above the melting point of the blade material. To ensure continuous safe operation of high- performance gas turbines, a cooling scheme must be developed. A radial hole to pass high velocity cooling air along the blade span is one of the suggested methods. In this project NACA 6409 airfoil is taking for turbine blade. Turbine blade is designed in CATIA V5R19 and for analysis we are using ANSYS 18.1 software. The turbine blades are cooled using convection cooling and radial holes to pass cooling air along the blade span. The heat transfer analysis of gas turbine with 6 different models consisting of No hole, 3, 5 and 7 inline one row of holes and compared with 7 and 9 models in staggered holes with different types of materials. Here we are using chromium steel, inconel-718 and inconel-625 as turbine blade material. CFD, Thermal and structural analysis is performing to determine the heat transfer rates, temperature distribution and stress of the blade.

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Turbine Blade, NACA6409, CFD Analysis, Inline holes, staggered holes, ANSYS 18.1, Temperature, Stress and Heat transfer rate.

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The Airline Industry is one of the top financial sectors of India. India is expected to overtake China and the United States as the world's third-largest air passenger market in the next ten years, by 2030, according to the International Air Transport Association (IATA). India is coming up as one of the fastest growing Aviation sectors in the world. The sector was adversely impacted during the outbreak of the Covid-19 pandemic and hasn't recovered since then. Thus, the importance of using Operational Research to minimize the cost and increase profits signifies even more. Despite all this in most airlines, crew costs are the second largest direct operation cost next to the fuel costs. But unlike the fuel costs, a considerable portion of the crew costs can be saved through optimized utilization of the internal resources of an airline company. And the saving is largely realized through solving the crew pairing problem. In this paper, we present a comprehensive problem definition for the airline crew scheduling problem by taking one of the airlines as a case study and try to get an optimal solution.

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Airlines, Crew pairing, Fuel costs, Optimal solution

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The project displays the recognition of human activity from the body using DNN-classifier and feature analysis. By connecting facial expressions to a set of fundamental emotions, automatic BODY human behavior has dominated psychology and plays a significant part in HCI systems for assessing people's behavior (i.e., disgust, angry, fear, sadness, happiness and surprise). Body human behavior, feature extracting and selecting and classifying are all process of the recognition system. These characteristics aid the DNN classifier and the ability to recognize the greatest number of data accurately.

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Creative Commons Attribution 4.0 and The Open Definition

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Deep Neural Network, Human Computer Interaction, Machine Learning

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Creative Commons Attribution 4.0 and The Open Definition