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The document is a registration form submitted by Ankit Dubey to register for the second semester examinations at Government Polytechnic, Mumbai. It lists the 10 courses Ankit is registered for, including subjects like Mathematics II, Chemistry, Programming in C, and Web Technology. It notes that the last examination Ankit appeared for was the odd semester of 2019-2020. It requests to submit xerox copies of previous mark sheets and provides Ankit's enrollment number, program of study, and contact details.
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The document discusses threads and threading models in operating systems. It defines a thread as the basic unit of CPU utilization comprising a thread ID, program counter, and register set. It describes single-threaded and multithreaded processes, benefits of multithreading, and concurrent/parallel execution. It also covers user threads, kernel threads, threading libraries like Pthreads and Java threads, and threading issues around fork(), exec(), signals, thread pools and more. It provides examples of threading in Windows XP and Linux.
Ch3 processes
This document summarizes Chapter 3 from the textbook "Operating System Concepts - 8th Edition" by Silberschatz, Galvin and Gagne. The chapter discusses processes, including the process concept, scheduling, operations on processes, and interprocess communication. Key points include that a process is a program in execution, processes have various states like ready, running, waiting, and that the operating system uses process control blocks and queues to manage processes and allocate CPU resources using schedulers. Interprocess communication allows cooperating processes to communicate through methods like message passing and shared memory.
Ch2 system structure
The document discusses different operating system structures including monolithic, layered, and microkernel structures. A monolithic structure has all operating system functions in the kernel. Layered structures divide the OS into separate layers with each layer building on the ones below. Microkernel structures move nonessential components out of the kernel into user space and the kernel primarily handles communication between user modules.
Ch1 introduction-to-os
This document discusses the key concepts of operating systems. It defines an operating system as a program that acts as an intermediary between the user and computer hardware. The four main components of a computer system are hardware, application programs, the operating system, and users. It describes the evolution of operating systems from batch processing to time sharing and personal computing. Different generations of computers are also outlined, from first generation machines using vacuum tubes to fourth generation systems using integrated circuits.
Android i
This document contains multiple choice questions and answers about Android. It tests knowledge of key aspects of the Android operating system including its licensing, ownership, minimum development targets, Google's business motivations, the first Android phone released, advantages for phone manufacturers, and facts about early Android development. It also covers the Open Handset Alliance announcement year, emulator vs simulator differences, Android application packaging, and components like activities, services, and intents.
Mongodb mock test_ii
This document provides a mock test for MongoDB with 25 multiple choice questions. It includes questions about MongoDB queries, indexes, transactions, and other concepts. The test is provided to help users practice and test their MongoDB skills offline. An answer key is provided to allow users to self-grade the test.
Android mock test_iii
The document provides a 25 question mock test on Android fundamentals. It includes multiple choice questions covering topics like LastKnownLocation, finding GPS status programmatically, base adapters, breakpoints, DDMS, log messages, ADB, emulator ports, APKs, debugging techniques, fixing crashes with logcat, HTTP client functionality, JSON packages, MapViews, refreshing dynamic content with Ajax, JSON elements, HTTP response codes, JSON exceptions, and finding JSON element length. The answer key is provided after the questions.
Android mock test_ii
This section presents various Android mock tests that can be downloaded and solved offline. Each mock test includes questions on Android topics like ANR, AsyncTask, BroadcastReceivers, ContentProviders, SQLite, tasks and activities, device features, location services, and permissions. An answer key is provided to allow users to self-grade their performance on each mock test.
Ajp notes-chapter-06
This document provides an overview of servlets, including:
1. Servlets are Java programs that extend the functionality of web servers by dynamically processing HTTP requests and responses.
2. The life cycle of a servlet involves loading, instantiating, processing requests, and destroying.
3. Common steps to create and run a simple "Hello World" servlet using Tomcat include writing Java code, compiling, configuring deployment descriptors, and making HTTP requests.
4. Servlets offer benefits over other technologies like CGI scripts by being more efficient, persistent, portable, robust, and secure.
Ajp notes-chapter-05
This document discusses Java Database Connectivity (JDBC) which provides a standard interface for connecting Java applications to various databases. It describes the JDBC API and architecture, including the four types of JDBC drivers. The key points are:
1) JDBC provides a standard way for Java programs to access any SQL database. It uses JDBC drivers implemented by database vendors to translate JDBC calls into database-specific protocols.
2) The JDBC API has two layers - an application layer used by developers, and a driver layer implemented by vendors. There are four main interfaces (Driver, Connection, Statement, ResultSet) and the DriverManager class.
3) There are
Ajp notes-chapter-04
This document provides an overview of networking concepts in Java. It discusses socket programming, client-server models, Internet addressing using IPv4 and IPv6, common network ports, proxy servers, and the core Java networking classes like InetAddress and URLConnection that support network communication. The document serves as an introduction to networking basics and how Java implements network functionality through its java.net package.
Ajp notes-chapter-03
This document provides an overview of event handling in Java. It discusses the delegation event model where a source generates an event and sends it to one or more listeners. It describes event sources, event listeners, common event classes like ActionEvent, MouseEvent, and KeyEvent. It explains the roles of sources that generate events, listeners that receive event notifications, and event classes that represent specific types of events.
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Gas agency management system project report.pdf
The project entitled "Gas Agency" is done to make the manual process easier by making it a computerized system for billing and maintaining stock. The Gas Agencies get the order request through phone calls or by personal from their customers and deliver the gas cylinders to their address based on their demand and previous delivery date. This process is made computerized and the customer's name, address and stock details are stored in a database. Based on this the billing for a customer is made simple and easier, since a customer order for gas can be accepted only after completing a certain period from the previous delivery. This can be calculated and billed easily through this. There are two types of delivery like domestic purpose use delivery and commercial purpose use delivery. The bill rate and capacity differs for both. This can be easily maintained and charged accordingly.
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 08 Doors and Windows.pdf
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Advanced control scheme of doubly fed induction generator for wind turbine us...
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.
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...
Energy efficiency has been important since the latter part of the last century. The main object of this survey is to determine the energy efficiency knowledge among consumers. Two separate districts in Bangladesh are selected to conduct the survey on households and showrooms about the energy and seller also. The survey uses the data to find some regression equations from which it is easy to predict energy efficiency knowledge. The data is analyzed and calculated based on five important criteria. The initial target was to find some factors that help predict a person's energy efficiency knowledge. From the survey, it is found that the energy efficiency awareness among the people of our country is very low. Relationships between household energy use behaviors are estimated using a unique dataset of about 40 households and 20 showrooms in Bangladesh's Chapainawabganj and Bagerhat districts. Knowledge of energy consumption and energy efficiency technology options is found to be associated with household use of energy conservation practices. Household characteristics also influence household energy use behavior. Younger household cohorts are more likely to adopt energy-efficient technologies and energy conservation practices and place primary importance on energy saving for environmental reasons. Education also influences attitudes toward energy conservation in Bangladesh. Low-education households indicate they primarily save electricity for the environment while high-education households indicate they are motivated by environmental concerns.
Mechanical Engineering on AAI Summer Training Report-003.pdf
Mechanical Engineering PROJECT REPORT ON SUMMER VOCATIONAL TRAINING
AT MBB AIRPORT
Software Engineering and Project Management - Introduction, Modeling Concepts...
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
AI for Legal Research with applications, tools
AI applications in legal research include rapid document analysis, case law review, and statute interpretation. AI-powered tools can sift through vast legal databases to find relevant precedents and citations, enhancing research accuracy and speed. They assist in legal writing by drafting and proofreading documents. Predictive analytics help foresee case outcomes based on historical data, aiding in strategic decision-making. AI also automates routine tasks like contract review and due diligence, freeing up lawyers to focus on complex legal issues. These applications make legal research more efficient, cost-effective, and accessible.
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf
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Rainfall intensity duration frequency curve statistical analysis and modeling...
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
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
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
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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DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
Ankit8
- 1. Government Polytechnic ,Mumbai ( Maharastra Government Autonomous Institute ) Exam Registration Form Semester: II Term: Odd Even Date: 4/10/2019 Enrollment Number: Ss18co018 Program:Diploma in Computer Engineering Name of Student: ankit dubey Email ID & Phone Number: ankitdube18132243@gmail.com To, The Principle, Govt. Polytechnic, Mumbai. Sir/Madam, I request your permission to register myself for the ODD/EVEN 2019-20 examination as mentioned below: Course to be registered for Examination: S.N. Course Code Regular/Backlog R/X Course Title Credits 1. HU16106 R X COMMUNICATION SKILL 02 2. SC16108 R X MATHEMATICS II 04 3. SC 16106 R X CHEMISTRY 05 4. IT 16102 R X PROGRAMMING IN C 07 5. EC 16204 R X ELECTRONICS 05 6. HU 16103 R X GENERIC SKILL 02 7. IT 16203 R X WEB TECHNOLOGY 05 8. NC 16201 R X SPOKEN TUTORIAL -------------------- 9. NC 16202 R X DIGITAL INDIA -------------------- 10. -------------------- R X TOTAL 30 Last Examination Appeared ODD/EVEN 20 19-20 Attach Xerox copies of all the previous mark sheets. Yours Obidiently, ANKIT DUBEY Date: 10-4-2019 Login Experiment 09 Page 1 of 2 file:///C:/Users/hp/Documents/New%20folder/all%20desktop/important/Exp%208.html 4/10/2019
- 2. Username: ANKIT DUBEY User Password : ******Don't Forget toClick Here****** Submit Query Experiment 09 Page 2 of 2 file:///C:/Users/hp/Documents/New%20folder/all%20desktop/important/Exp%208.html 4/10/2019