TECHSANGRAM 2017

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Roorkee College of Engineering was launched and promoted by chartered Accountant S.K. Gupta in 2010 with a view to provide high quality technical education to the regional aspirants in general and localite rural poor in particular. Our infrastructure, facilities, teaching methodologies & academic make sure that RCE retains a special place in the academic landscape of northern India and in the hearts of those who live, study & teach here. RCE emphasizes on emerging technologies, innovative thinking, teamwork, entrepreneurship, overall development and the importance of partnerships and global outlook. Our students are sought after by employers, and making a difference in our cities and communities for well over a decade now. We at RCE are forever committed to help you realize your career ambitions & unlock your true potential.

Engineering

I have taken efforts in this project. However, it would not have been possible without the kind support and help of many individuals and organizations. I would like to extend my sincere thanks to all of them. I am highly indebted to Mr. I.P. CHANDRA, Mrs. NISHA DHIMAN, and Miss. PRIYANKA SINGH RANA for their guidance and constant supervision as well as for providing necessary information regarding the project & also for her support in completing the project. I would like to express my gratitude towards my parents & member of ROORKEE COLLEGE OF ENGINEERING, ROORKEE for their kind co-operation and the encouragement which helps me in the completion of this project.

Digital logic, an inverter or NOT gate

Roorkee College of Engineering, Roorkee

Cell phone detector

Roorkee College of Engineering, Roorkee

The document is a thesis on designing a cell phone detector circuit. It discusses objectives of detecting signals between 0.9-3GHz within 1.5m and notifying when a phone is in use. The circuit consists of an inductor, diodes, transistors, op-amps and an LED. It works by rectifying the RF signal induced in the inductor when a phone is near. The amplified output triggers the LED if above a reference voltage, indicating detection. Applications include areas where phone use is prohibited like petrol pumps, hospitals and exam halls.

Top Placement College in India

Roorkee College of Engineering, Roorkee

Top Engineering Colleges in North India

Roorkee College of Engineering, Roorkee

A campus with good infrastructure, coached by highly distinguished faculty using the latest teaching aids, excellent hostel facilities, and a vision that drives us to ensure imparting wholesome technical education to our students, is what sets us apart from the run-of-the-mill engineering collages spread all over the country. RCE aims at developing the aptitude of the students through interactive sessions with their mentors, regular brainstorming sessions and exposure to a plethora of event.

List of Engineering Colleges in Uttarakhand

Roorkee College of Engineering, Roorkee

Top 10 Engineering College in India

Roorkee College of Engineering, Roorkee

Best college in India

Roorkee College of Engineering, Roorkee

RCE(Roorkee College of Engineering) is best engineering college in Roorkee. Which offer great and beneficial facilities for students to best future. RCE was established in 2010, which approved by AICTE (Govt. of India) and affiliated to Uttarakhand Technical University, Uttarakhand. And courses provided by RCE M.tech, B.tech, Diploma, B.Sc agriculture with highly educated and experienced faculty, top class updated infrastructure, Wi-Fi enabled campus, great placement and more.

This document provides an introduction to logic, including propositional logic and predicate calculus. It defines key concepts such as logical values, propositions, operators, truth tables, logical expressions, worlds, models, inference rules, quantification, and definitions. Propositional logic manipulates true and false values using operators like AND and OR. Predicate calculus extends this to allow predicates, constants, functions, and quantification over variables. Inference involves applying rules to derive new statements, but the search space grows too large to feasibly perform by hand.

RCE Brochure

Roorkee College of Engineering, Roorkee

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This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.

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Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications. Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.

Understanding Inductive Bias in Machine Learning

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This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models. The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees. By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.

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Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network

Hematology Analyzer Machine - Complete Blood Count

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The CBC machine is a common diagnostic tool used by doctors to measure a patient's red blood cell count, white blood cell count and platelet count. The machine uses a small sample of the patient's blood, which is then placed into special tubes and analyzed. The results of the analysis are then displayed on a screen for the doctor to review. The CBC machine is an important tool for diagnosing various conditions, such as anemia, infection and leukemia. It can also help to monitor a patient's response to treatment.

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As digital technology becomes more deeply embedded in power systems, protecting the communication networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3) represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities. Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network (CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to train and test our model. The results of our experiments show that our CNN-LSTM method is much better at finding smart grid intrusions than other deep learning algorithms used for classification. In addition, our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection accuracy rate of 99.50%.

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Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.

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TECHSANGRAM 2017

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