Most Searched Titles

Routing and switching essentials : companion guide

Cisco Networking Academy Program

includes index. Routing and Switching Essentials Companion Guide is the official supplemental textbook for the Routing and Switching Essentials course in the Cisco® Networking Academy® CCNA® Routing and Switching curriculum. This course describes the architecture, components, and operations of routers and switches in a small network. You learn how to configure a router and a switch for basic functionality. By the end of this course, you will be able to configure and troubleshoot routers and switches and resolve common issues with RIPv1, RIPv2, single-area and multi-area OSPF, virtual LANs, and inter-VLAN routing in both IPv4 and IPv6 networks. The Companion Guide is designed as a portable desk reference to use anytime, anywhere to reinforce the material from the course and organize your time. The book’s features help you focus on important concepts to succeed in this course: Chapter objectives–Review core concepts by answering the focus questions listed at the beginning of each chapter. Key terms–Refer to the lists of networking vocabulary introduced and highlighted in context in each chapter. Glossary–Consult the comprehensive Glossary with more than 200 terms. Summary of Activities and Labs–Maximize your study time with this complete list of all associated practice exercises at the end of each chapter. Check Your Understanding–Evaluate your readiness with the end-of-chapter questions that match the style of questions you see in the online course quizzes. The answer key explains each answer.

Date Published:2014

Learn quantum computing with Python and IBM Quantum : Write your own practical quantum programs with Python

Loredo, Robert,

The IBM Quantum Platform was built to enable developers to learn the basics of quantum computing by providing access to high performant quantum computers and provide documentation and courses to help get up to speed with the latest features in quantum computing. Updated with new examples and changes to the platform, this edition begins with an introduction to the IBM Quantum Platform and the Quantum Information Science Kit (Qiskit) SDK. You will become well versed in the IBM Quantum Composer interface as well as running your quantum circuits on a real quantum computer. Along the way, youâll learn some of the fundamental principles regarding quantum mechanics, qubits, quantum gates, quantum circuits, and the error mitigation techniques that are used to perform operations on qubits. As you build on your knowledge, youâll understand the functionality of IBM Qiskit and the developer-focused resources so you can create your own quantum algorithms. Youâll learn how to monitor and optimize your quantum circuits. Lastly, youâll look at the fundamental quantum algorithms and understand how they can be applied effectively. By the end of this quantum computing book, you'll know how to build quantum algorithms and will have gained a practical understanding of quantum computation that you can apply to your research or business.

Date Published:2024

Textbook of english 3 : based on single national curriculum 2020

Nadeem, Samina,

This book is used for as a textbook for class 3 in English Subject. 1. All are wellcome-- 2. Gift of nature-- 3. The people i love-- 4. Kindness to children. It is widely accepted that the curriculum plays a pivotal role in nation building. It reflects a nation's aspirations for its future generations of citizens and delineates the ambit of knowledge, skills, behaviours and attitudes that students must assimilate over the period of schooling. It is for this reason that the present government has declared implementation of a Single National Curriculum (SNC), a key priority. In pursuit of this overarching objective, the government has already developed the Single National Curriculum for grade pre 1-5 under a consultative approach with the engagement of experts from all provinces, areas and other relevant stakeholders. In order to ensure implementation of SNC, in its true spirit, model textbooks have been developed in collaboration with experts from provinces and areas, teachers of federal and private educational institutes, faculty members of prominent universities, researchers, curriculum developers, teacher training and assessment professionals. In the same spirit, education experts from all over the country came together to participate in the review and refinement of the model textbooks to ensure that they are aligned with the SNC, international trends and the contextual socio-cultural value system. This Series of English for Grades 1 — 5 has been developed according to SNC 2020 for the English Language. The new curriculum has been developed keeping in mind the demands of English language learning in the 21st Century. It aims to provide integrated opportunities to the student for language development and equips them with competencies of english language for communication in academic and social contexts. This would enable students to enhance their knowledge and become autonomous lifelong learners who can adapt to the ever evolving society. English, as an international language, has become a global means of communication. So, these books have been specifically designed to improve language skills of young learners.

Date Published:2021

Financial management and analysis

Fabozzi, Frank J.

Accompanied by: Financial management and analysis workbook / Pamela P. Peterson, Frank J. Fabozzi, Wendy D. Habegger. c2004. ix, 436 p. ; 23 cm. Call number: HG4026 .F33 2003 Workbook. A comprehensive guide to understanding the world of financial management and analysis This complement to the bestselling Financial Management and Analysis allows readers to self-test their understanding before applying the concepts to real-world situations. Pamela P. Peterson, PhD, CPA (Tallahassee, FL), is Professor of Finance at Florida State University. Wendy D. Habegger (Tallahassee, FL) is a PhD student in Finance at Florida State University.

Date Published:2003

Machine learning for dummies

Mueller, John,

AYour no-nonsense guide to making sense of machine learningMachine Learning For Dummies offers a much-needed entry point for anyone looking to use machine learning to accomplish practical tasks. Covering the entry-level topics needed to get you familiar with the basic concepts of machine learning, this guide quickly helps you make sense of the programming languages and tools you need to turn machine learning-based tasks into a reality. Whether you're maddened by the math behind machine learning, apprehensive about AI, perplexed by preprocessing data--or anything in between--this guide makes it easier to understand and implement machine learning seamlessly. Grasp how day-to-day activities are powered by machine learningLearn to 'speak' certain languages, such as Python and R, to teach machines to perform pattern-oriented tasks and data analysisLearn to code in R using R StudioFind out how to code in Python using Anaconda Dive into this complete beginner's guide so you are armed with all you need to know about machine learning!

Date Published:2016

An introduction to database systems

Date, C. J.

A comprehensive treatment of database technology. Features of this edition include: a proposal for rapprochement between object-oriented and relational technologies; expanded treatment of distributed databases; and chapters on functional dependencies, views, domains and missing information.

Date Published:1995

Computer networking : a top-down approach

Kurose, James F.

Previous edition: 2013. 1. Computer Networks and the Internet 2. Application Layer 3. Transport Layer 4. The Network Layer: Data Plane 5. The Network Layer: Control Plane 6. The Link Layer: Links, Access Networks, and LANs 7. Wireless and Mobile Networks 8. Security in Computer Networks 9. Multimedia Networking. The Seventh Edition of the popular Computer Networking: A Top Down Approach builds on the author’s long tradition of teaching this complex subject through a layered approach in a “top-down manner.” The text works its way from the application layer down toward the physical layer, motivating readers by exposing them to important concepts early in their study of networking. Focusing on the Internet and the fundamentally important issues of networking, this text provides an excellent foundation for readers interested in computer science and electrical engineering, without requiring extensive knowledge of programming or mathematics. The Seventh Edition has been updated to reflect the most important and exciting recent advances in networking.

Date Published:2017

Neurolinguistics

Baggio, Giosue,

Intro -- Contents -- Series Foreword -- Preface -- 1 Historical Introduction -- 2 Mapping Language in Brain Time -- 3 Mapping Language in Brain Space -- 4 Models of Language in the Brain -- 5 Growth of Language Networks -- 6 Bilingualism and the Brain -- 7 Literacy and the Brain -- 8 Neurology of Language -- 9 Neurogenetics of Language -- 10 Neuroethology of Language -- 11 The Future of Neurolinguistics -- Glossary -- Acknowledgments -- Notes -- Further Readings -- Index. Neurolinguistics, the study of language in the brain, describes the anatomical structures (networks of neurons in the brain) and physiological processes (ways for these networks to be active) that allow humans to learn and use one or more languages. It draws on neuroscience, linguistics—particularly theoretical linguistics—and other disciplines. In this volume in the MIT Press Essential Knowledge series, Giosuè Baggio offers an accessible introduction to the fundamentals of neurolinguistics, covering language processing, language acquisition, literacy, and speech and language disorders. Baggio first surveys the evolution of the field, describing discoveries by Paul Broca, Carl Wernicke, Noam Chomsky, and others. He discusses mapping language in “brain time” and “brain space” and the constraints of neurolinguistic models. Considering language acquisition, he explains that a child is never a “blank slate”: infants and young children are only able to acquire specific aspects of language in specific stages of cognitive development. He addresses the neural consequences of bilingualism; literacy, discussing how forms of visual language in the brain differ from forms of auditory language; aphasia and the need to understand language disorders in behavioral, functional, and neuroanatomical terms; neurogenetics of language; and the neuroethology of language, tracing the origins of the neural and behavioral building blocks of human linguistic communication to the evolution of avian, mammalian, and primate brains.

Date Published:2022

High scoring guide for FAST NUCES-BS (CS, Engineering) entry test

Dogra Brothers,

Introduction English Notes + Practice Questions Basic Mathematics Advanced Mathematics. Analytical Skills. The Dogar Brother’s High Scoring Guide for FAST NUCES-BS (CS/ENGINEERING) is the ideal source to prepare for the test to get admission in fast university. It has been designed on the basis of the syllabus and pattern being followed in the recent years. The book aims to help students prepare for the test by practicing conceptual mcqs provided in the guide along with learning unique concepts from the detailed explanations. • Practice Exercises have been added to the book along with answers and detailed explanations that emphasize various concepts in depth. • Conceptual MCQs are a part of the practice exercises that are meant to enhance student’s learning experience and understanding of different topics. • Revision Notes of English, Basic Mathematics, and Intelligence are included in the guide. These notes allow the students to prepare for different topics that are included in the exam and help them cover all possible test areas. WHY CHOOSE THIS BOOK? The Dogar Brother’s High Scoring Guide for FAST NUCES-BS (CS/Engineering) provides the students with a chance to analyze their preparation by attempting the Practice Exercise that are paired with Answers and Elaborated Explanations. Answers with Detailed Explanations have been added to enhance the student’s learning of various concepts. The explanations help the user improve their weaker areas and by practicing more questions, the score increases. These explanations discuss all 4 options included in the Multiple Choice Questions and provide a detailed analysis of why a particular option is the correct one. To further enhance the student's understanding, we have added Revision Notes in this book. With the help of these notes, students find a chance to cover extra topics and questions that can possibly come in the exam. The combination of Practice Exercises and Detailed Notes is what sets this book apart. We aim to cover all possible areas of the official syllabus along with providing extra material for preparation. Students conveniently gauge their level of preparation after attempting the Practice Questions along with maxing use of the notes to improve the weaker areas. The Conceptual MCQS are designed on the basis of the Easy, Medium and Hard Difficulty Level Approach.

Date Published:2024

Schaum's outline of theory and problems of differential and integral calculus

Ayres, Frank, 1901-

Spine title: Calculus 3/ed in SI units. A revised, updated edition of this classic Schaum's Outline which has sold approximately 1,100,000 copies since 1968. The book is completely modernized both in terms of mathematical content & language. Lists of formulas for derivatives & integrals have definitions & explanations added for easier understanding & some material on analytic geometry has been added. There are over 1,000 solved problems & hundreds of supplementary problems.

Date Published:1992

Microprocessors and interfacing : Programming and hardware

Hall, Douglas V.

Date Published:

Programming Windows 95

Petzold, Charles, 1953-

Rev. ed. of: Programming Windows 3.1. 1992. Includes index. This is the best-known, most widely praised, and most widely used how-to programming book on the planet. It is the one book that no aspiring or experienced developer can afford to be without. Updated for Windows 95, this bestseller is now a 32-bit book with 32-bit programs neatly tucked into a CD. Charles Petzold covers the new Windows 95 concerns such as multithreading, GDI and OLE enhancements, and preemptive multitasking. A guaranteed bestseller. (Operating Systems).

Date Published:1996

The Heirs of the prophet Muhammad nad the roots of the sunni-shia schism

Rogerson, Baranaby

Date Published:

Schaum's outline of theory and problems of data processing

Lipschutz, Martin M.

Includes index. Modern data processing with machines falls into two broad categories, punched card data processing and electronic data processing. punched card data processing system consists of various electromagnetically devices, such as sorters, collators, reproducers, calculators, and tabulators which operate o punch card.

Date Published:1982

Development of corpus based l2 syntactical errors analysis framework for predictive segmentation

Ahmad, Hasanat [21L-7904]

Submitted in fulfillment of the requirements for the Master degree of MS (Linguistics) in the Department of Sciences and Humanities. TABLE OF CONTENTS ABSTRACT TABLE OF CONTENTS 1. INTRODUCTION 1.1 Background 1.2 Research Problem 1.3 Research Questions 1.4 Research Objectives 1.5 Significance of the Study 1.6 Scope of the Research 1.7 Conceptual Framework 2. LITERATURE REVIEW 2.1 Previous Researches 2.2 Writing 2.3 Descriptive Essay 2.4 Error and Mistake 2.5 Error Analysis 2.6 Corpus Based Error Analysis 2.7 Automated Essay Scoring 2.8 Convolution Neural Network 2.9 Word Vectorization 3. METHODOLOGY 3.1 Research Design 3.2 Model 3.3 Data Collection and Preprocessing 3.4 Labelling 3.5 Preprocessing Data 3.5.1 Tokenization 3.5.2 Case Normalization 3.5.3 Punctuation Removal 3.5.4 Stop Word Removal 3.5.5 Lemmatization 3.6 Corpus Selection for Model Training 3.7 Corpus Selection for Model Testing 3.8 TF-IDF for Off-Topic and On-Topic Detection 3.9 Latent Semantic Analysis (LSA) for Off-Topic and On-Topic Detection 3.10 Combining TF-IDF and LSA 50 3.11 Evaluation Metrics 3.12 Data Collection and Corpus Preparation 3.13 Integration and Customization of LanguageTool 3.14 Evaluation Metrics and Framework 3.15 Experimental Design 4 FINDINGS 4.1 Dataset Description 4.2 Testing Setup 4.3 Evaluation Results and Analysis 4.4 Comparison with Baseline Methods 4.5 Accuracy and Precision of LanguageTool 4.6 Error Detection Performance Casing Errors 4.7 Typos 4.8 Grammar Errors 4.9 Punctuation Errors 4.10 Miscellaneous Errors 4.11 Comparison with Other Tools 4.12 Limitations and Challenges 4.13 Demonstration of Prototype 5 DISCUSSION 5.1 Interpretation of Results 5.2 Comparison with Baseline Methods 5.3 Representation and Semantic Meaning 5.4 Dataset Quality and Size 5.5 Choice of Classifiers 5.6 Advanced NLP Techniques 5.7 External Knowledge Sources 5.8 Ensemble Methods and Hybrid Approaches 5.9 Data Considerations 5.10 User Studies and Human Feedback 5.12 Integration into model 5.13 Potential Benefits and Implications 5.14 Future Directions 5.15 Advanced Error Detection Techniques 5.16 Customization and Personalization Features 5.17 Longitudinal Studies on Writing Improvement 6 CONCLUSION REFERENCES. . Checking essays written by students is a time-consuming task. In addition to detecting spelling and grammar errors, educators also need to report predictive segmentation. This study focused on one such aspect of predictive segmentation of essays by analysis of errors in text. The study used machine learning techniques to predict segmentation in essays. The data set consisted of essays written by students in L2 (second language). The study explored and implemented various embedding techniques proposed in recent years. The results of the study showed that it was possible to predict distinctive student errors separately with zero human intervention using currently available tools and techniques. framework will be based on Model of Error Analysis by Corder (1974) as citied in Sarfraz, S. (2011). 1387 essays were collected on 20 various prompts/topics from two private sector universities and three public sector colleges undergraduate students. Off-topic and On-topic detection was developed by convolutional neural networks techniques TFIDF and Latent semantic analysis. Syntactical error analysis model was integrated by LanguageTool open-source library for error detection. This automated error analysis system could be very useful for checking and analyzing text that is mainly submitted in soft form.

Date Published:2023

Agri grow

Shehroz Ali

Submitted in fulfillment of the requirements for the degree of Bachelor Science in Computer Science to the department of Computer Science. Chapter 1: Introduction- Chapter 2: Use Case- Chapter 3: Iteration- Chapter 4: References- Chapter 5: System Sequence Diagram.

Date Published:2022

1998 District census report of Rahim Yar Khan

The fifth population and housing census, due in March 191, was conducted in March 1998 i e after a lapse of 7 years from its due date. The entire country was covered from 2-18 March 1998 including federally administrative tribal areas, northern areas and Azad Kashmir. The report concise of five parts, write up which carries general description of the district, Broad analysis of population census, Broad analysis of housing census, comprises statistical tables etc. .

Date Published:2000

Computer-aided manufacturing

Chang, Tien-Chien,

Using a strong science-based and analytical approach, this book provides a modern description of CAM from an engineering perspective to include design specification, process engineering, and production. The Third Edition of Computer Integrated Manufacturing includes new material on CAD drafting, 3D CAD, surface modeling, solid modeling, feature-based modeling, variational and parametric modeling, tools for PLC logic design, and kinematics of NC machines. New chapters include “Geometric Tolerancing,” “Geometric Modeling,” “Statistical-Based Process Engineering,” “Fundamentals of Industrial Control,” and “Rapid Prototyping.” A valuable resource for any professional who needs to stay ahead of the latest issues and technology related to computer-aided design and manufacturing.

Date Published:2009

Crowd counting using hybrid deep learning

Waleed, Ahmed [14L-4346]

Submitted in fulfillment of the requirements for the degree of BS in Computer Science to the Department of Computer Science . Table of Contents List of Tables List of Figures Abstract Chapter 1: Introduction 1.1 Goals and Objectives 1.2 Scope of the Project 1.3 Work Done so Far 1.4 Elaboration of Problem 1.5 Conclusion 1.6 Outline Chapter 2: Literature Review 2.1 Introduction 2.2 Detailed Literature Review 2.2.1 Definitions 2.2.2 Classification 2.2.3 Summary of Papers 2.3 Literature Review Summary 2.4 Summary Chapter 3: Requirements and Design 3.1 Functional Requirements 3.2 Non-Functional Requirements 3.3 Hardware and Software Requirements 3.3.1 Hardware Requirements 3.3.2 Software Requirements 3.4 System Architecture 3.4.1 Application Architecture (Android Based) 3.4.2 Deep Learning Hybrid Model Architecture 3.5 Architectural Strategies 3.6 Use Cases 3.6.1 Sign in 3.6.2 Signup 3.6.3 Upload Image 3.6.4 View History 3.6.5 Use case diagram 3.7 Graphical User Interfaces 3.8 System Requirements 3.8.1 Hardware Requirements 3.8.2 Software Requirements 3.9 Methodologies 3.9.1 Data set and Preprocessing: 3.9.2 Architecture 3.9.3 Parameter Setting 3.9.4 Training and Testing 4.0 Activity Diagram 4.1 Model Training 4.2 Application Workflow Chapter 4: Implementation and Test Cases 4.1 Description of Prototype Table of Contents 4.2 DilatedNet Implementation 4.3 VGG-16 Implementation 4.4 ConvNet (Resnet50) Implementation 4.5 Net1 and Net2 Implementation 4.6 Android App 4.7 Test Case Design and Description 4.7.1 User Registration Test Case 4.7.2 User Registration Alternate Scenario 2A Test Case 4.7.3 User Registration Alternate Scenario 2B Test Case 4.7.4 User Login Test Case 4.7.5 User Login Alternate Scenario 2A Test Case 4.7.6 User Login Alternate Scenario 2B Test Case 4.7.7 Forgot Password Test Case 4.7.8 Forgot Password Alternate Scenario 2A Test Case 4.7.9 Update Username Test Case 4.7.10 Update Email Test Case 4.7.11 Update Email Alternate Scenario 2A Test Case 4.7.12 Update Email Alternate Scenario 2B Test Case 4.7.13 Update Password Test Case 4.7.14 Update Password Alternate Scenario 2A Test Case 4.7.15 Update Profile Image Test Case 4.7.16 Upload Image from Camera Test Case 4.7.17 Upload Image from Gallery Test Case 4.7.17 View Image Details Test Case 4.7.18 Delete Image Test Case 4.7.19 Edit Image Title Test Case 4.7.20 Scan Image for Crowd Count Test Case 4.7.21 Light/Dark Theme Switch Test Case 4.8 Test Metrics Chapter 5: Experimental Results and Analysis Chapter 6: Conclusion References. In the modern era of increasing population, crowd counting has gained its importance through advancement in technology. Automated public monitoring i.e. surveillance and traffic control is one of the most famous examples of crowd counting. Crowd counting through different hybrid models of Convolution Neural Networks (CNN) has made many achievements in the recent era. There are several useful computer vision algorithms that are applied to data, in order to examine the results achieved from a trained model. More hybrid systems are on their way, increasing the accuracy of crowd counting neural networks. Crowd Counting is mainly used to control crowd in densely populated areas i.e., Pilgrims in Makkah. Our Hybrid CNN will be a VGG16 model and Dilated-Net model along with Resnet50. VGG-16 is a modified version of VGG that has won "The ImageNet challenge" in 2014. It showed promising results in large scale deep learning tasks. For this reason, we are using VGG-16 model. The latest techniques of crowd counting were studied to ensure that the proposed solution would provide better results altogether. For our convolutional network we have gone with Resnet50. We have selected Resnet architecture because it’s known to perform better on image classification tasks. Several different approaches were used to tackle this problem across the 20 papers that were studied for this project. In this project we aimed to use modified VGG-16, Dilated-Net and Resnet50 to design a hybrid crowd counting system. We combined results from above mentioned models together and then checked the combined output with the original output. Our aim was to achieve maximum accuracy in crowd counting using our multi-column CNN. we experimented with several different Resnet models and found that merging Resnet model with VGG-16 didn’t lead to significant improvement in accuracy, instead just using VGG-16 with dilated convolution did lead to significant increase in accuracy. Apart from the model, an android app is developed to allow users to see the trained model in action. Its functions as a gateway for the end users to utilize our fully trained and developed model on their very own images. This app allows users to take a picture with their phone and then analyze using our crowd counting solution/app to count the total number of people in the picture.

Date Published:2021

Electronics and instrumentation

Bandyopadhyay, Tarak Kumar

Low Price. 1. Vacuum tubes 2. Semiconductors 3. Transistor Characteristics 4. Field effect transistors 5. Thyristor 6. Integrated circuits 7. Introduction to logic circuits 8. Measuring instruments 9. Transducers 10. Telemetering .

Date Published:1997