Java In Academia And Research

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Java In Academia And Research

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Author : Ke Cai
language : en
Publisher: Createspace Independent Pub
Release Date : 2012-12-20

Java In Academia And Research written by Ke Cai and has been published by Createspace Independent Pub this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-20 with Computers categories.

Java is a programming language originally developed by Sun Microsystems in 1995. Nowadays, Java is widely used in various fields. This book is to introduce how Java is being used in academic. Contents include Java virtual machine design, cost analysis of Java, popular open source library for research, Java in machine learning, enterprise Java applications and more. This book can be served as a good reference book for those who want to start their research career by using Java as the major development platform or who want to understand more about Java capabilities. Chapter 1 gives a detailed overview on Java. Chapter 2 proposes teaching materials for programming education. The materials are used to create animation by programming, do not require special knowledge of mathematical. Students were able to tackle programming positively by using the materials. Chapter 3 describes how the Spiral Model systemically blends Java concepts to student needs. Also, other pedagogical patterns, such as Early bird, Tool box, Mix Old and New are implemented through Graphics Progressive Projects, to foster the best teaching practices of the introductory Java course. Chapter 4 proposes a method that supports to merge duplicate code into a single module. It suggests how every of duplicate code can be merged by using several code metrics. Chapter 5 describes an ongoing effort to develop a highly-automated approach for migrating Java source-code, such as standard class libraries, to restricted JVMs. The resulting code migration tool is called Monarch, and is built upon the TL System - a general-purpose program transformation system. Chapter 6 proposes a framework for command processing in Java/Swing programs based on the model-view-controller (MVC) pattern. It supports centralized exception handling, premature command termination, pre- and post-processing of commands, undo/redo based on event objects and model listeners, and generic undo/redo commands. Chapter 7 discusses the software complexity to ensure the Quality Assurance of software. Software metrics have been found to be useful in reducing software maintenance costs by assigning a numeric value to reflect the ease or difficulty with which a program module may be understood. Chapter 8 discusses Aspect-Oriented Programming, which (AOP) is an emerging programming paradigm providing novel constructs to improve the overall modularity of a software system. Chapter 9 examines static and dynamic task assignment methodologies in a grid computing environment for dependent tasks. The proposal strategy reduces the average response time of tasks submitted to the grid with respecting the constraints of dependency. Chapter 10 presents a case-based reasoning system applied to the domain of the cooking recipes. Chapter 11 presents the historical background of UnBBayes, its architectural underpinnings, and the major technical challenges behind its development. The use of graphical probabilistic models became an appealing way of enabling information systems to coherently exploit incomplete information. Chapter 12 considers the problems and the solutions that are concerned with the extension of Java with Higher Order mechanisms: that is methods as parameters and closures. The formal definition of such constructs, integrated in Java, is provided together with an implementation which preserves re-targetability and portability of the Java compilers and of the JVM. Chapter 13 aims at designing and developing an application using JAVA technology to estimate the quality of service of the Internet connections through a real-time multimedia applications. This application is especially useful for ISP and for end users who want to estimate the quality of their Internet access. Chapter 14 provides a report on the research that was conducted on to support mobile application development through a Java IDE to better address the difficulties that are faced by Java Mobile developers.

The Java That Never Was

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Author : Hans Antlöv
language : en
Publisher: LIT Verlag Münster
Release Date : 2005

The Java That Never Was written by Hans Antlöv and has been published by LIT Verlag Münster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with History categories.

"This book is about how cultures and societies on Java over the past century have been perceived and socially constructed by scholars inside and outside of Indonesia. It is a reflective book; how, on the one hand, academic theories have shaped our view of Java and, on the other hand, how the study of Java has influenced theoretical developments within a number of disciplines, including anthropology, development studies, religious studies, political science, gender studies, and the arts."--BOOK JACKET.

Java For Data Science

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Author : Richard M. Reese
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-01-10

Java For Data Science written by Richard M. Reese and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-10 with Computers categories.

Examine the techniques and Java tools supporting the growing field of data science About This Book Your entry ticket to the world of data science with the stability and power of Java Explore, analyse, and visualize your data effectively using easy-to-follow examples Make your Java applications more capable using machine learning Who This Book Is For This book is for Java developers who are comfortable developing applications in Java. Those who now want to enter the world of data science or wish to build intelligent applications will find this book ideal. Aspiring data scientists will also find this book very helpful. What You Will Learn Understand the nature and key concepts used in the field of data science Grasp how data is collected, cleaned, and processed Become comfortable with key data analysis techniques See specialized analysis techniques centered on machine learning Master the effective visualization of your data Work with the Java APIs and techniques used to perform data analysis In Detail Data science is concerned with extracting knowledge and insights from a wide variety of data sources to analyse patterns or predict future behaviour. It draws from a wide array of disciplines including statistics, computer science, mathematics, machine learning, and data mining. In this book, we cover the important data science concepts and how they are supported by Java, as well as the often statistically challenging techniques, to provide you with an understanding of their purpose and application. The book starts with an introduction of data science, followed by the basic data science tasks of data collection, data cleaning, data analysis, and data visualization. This is followed by a discussion of statistical techniques and more advanced topics including machine learning, neural networks, and deep learning. The next section examines the major categories of data analysis including text, visual, and audio data, followed by a discussion of resources that support parallel implementation. The final chapter illustrates an in-depth data science problem and provides a comprehensive, Java-based solution. Due to the nature of the topic, simple examples of techniques are presented early followed by a more detailed treatment later in the book. This permits a more natural introduction to the techniques and concepts presented in the book. Style and approach This book follows a tutorial approach, providing examples of each of the major concepts covered. With a step-by-step instructional style, this book covers various facets of data science and will get you up and running quickly.

Study Of The Web Based Java Trainer And Its Impact On Academic Performance Of First Level Computer Science Students

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Author : Christine Ruby McGettrick
language : en
Publisher:
Release Date : 2000

Study Of The Web Based Java Trainer And Its Impact On Academic Performance Of First Level Computer Science Students written by Christine Ruby McGettrick and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Computer science categories.

Web Development Toolkit For Java Developers

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Author : Dr. Nirali Dabhi
language : en
Publisher: BPB Publications
Release Date : 2023-05-25

Web Development Toolkit For Java Developers written by Dr. Nirali Dabhi and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-25 with Computers categories.

A beginners guide to Java programming for web development KEY FEATURES ● Learn one of the most in-demand skills in the field of application development. ● Get familiar with the fundamental concepts required to develop a web app. ● Understand how to develop web apps both with and without using a framework. DESCRIPTION Java is a popular language for developing web applications due to its stability, scalability, and robustness. This comprehensive guide will teach you how to develop web apps using Java. The book will help you learn how to establish a JDBC Connection in Java, develop Model-View-Controller (MVC) apps using JSP and servlets without a framework, and understand the application and use of JavaServer Faces (JSF) over JSP to effectively develop web apps. Additionally, the book will help you gain a thorough understanding of different types of frameworks and explore the Spring framework in-depth. It will also teach you how to leverage the power of Spring to simplify and streamline your web development projects. Lastly, the book will help you get familiar with the concept of Aspect Oriented Programming (AOP) and learn how to apply AOP in your Java web development projects. By the end of the book, you will be able to build professional-quality web applications using Java. WHAT YOU WILL LEARN ● Learn how to create web apps using Java Servlets. ● Explore advanced features that can be managed using servlets. ● Get familiar with the MVC Architecture in Java. ● Build component-based and event-oriented web interfaces using Java Server Faces (JSF). ● Learn how to work with web services SOAP and RESTful API. WHO THIS BOOK IS FOR This book is for beginners who are looking to build web apps using Java. It is also for students pursuing a Master's degree in Computer Applications or Information Technology. Having a basic understanding of core Java, HTML, and relational databases will be an added advantage. TABLE OF CONTENTS 1. Database Connectivity From Java 2. Performing Insert, Update, Delete and Select Operations 3. Creating Properties File and Performing Batch Operations 4. Web Components and Web Application Directory Structure 5. Servlet Programming 6. Managing Advance Features in Servlet 7. Basics of Java Server Pages (JSP) 8. Handling Beans and Using Expression Language 9. Understand Model, View and Controller Pattern 10. Overview of JSP Standard Tag Library (JSTL) 11. Outline of JSF for Building Component- Based, Event-Oriented Web Interfaces 12. Working with Web Services (SOAP and RESTful) 13. Aspect-Oriented Approach with Spring Framework 14. Introduction to Spring Boot

Java Data Science Made Easy

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Author : Richard M. Reese
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-07-07

Java Data Science Made Easy written by Richard M. Reese and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-07 with Computers categories.

Data collection, processing, analysis, and more About This Book Your entry ticket to the world of data science with the stability and power of Java Explore, analyse, and visualize your data effectively using easy-to-follow examples A highly practical course covering a broad set of topics - from the basics of Machine Learning to Deep Learning and Big Data frameworks. Who This Book Is For This course is meant for Java developers who are comfortable developing applications in Java, and now want to enter the world of data science or wish to build intelligent applications. Aspiring data scientists with some understanding of the Java programming language will also find this book to be very helpful. If you are willing to build efficient data science applications and bring them in the enterprise environment without changing your existing Java stack, this book is for you! What You Will Learn Understand the key concepts of data science Explore the data science ecosystem available in Java Work with the Java APIs and techniques used to perform efficient data analysis Find out how to approach different machine learning problems with Java Process unstructured information such as natural language text or images, and create your own search Learn how to build deep neural networks with DeepLearning4j Build data science applications that scale and process large amounts of data Deploy data science models to production and evaluate their performance In Detail Data science is concerned with extracting knowledge and insights from a wide variety of data sources to analyse patterns or predict future behaviour. It draws from a wide array of disciplines including statistics, computer science, mathematics, machine learning, and data mining. In this course, we cover the basic as well as advanced data science concepts and how they are implemented using the popular Java tools and libraries.The course starts with an introduction of data science, followed by the basic data science tasks of data collection, data cleaning, data analysis, and data visualization. This is followed by a discussion of statistical techniques and more advanced topics including machine learning, neural networks, and deep learning. You will examine the major categories of data analysis including text, visual, and audio data, followed by a discussion of resources that support parallel implementation. Throughout this course, the chapters will illustrate a challenging data science problem, and then go on to present a comprehensive, Java-based solution to tackle that problem. You will cover a wide range of topics – from classification and regression, to dimensionality reduction and clustering, deep learning and working with Big Data. Finally, you will see the different ways to deploy the model and evaluate it in production settings. By the end of this course, you will be up and running with various facets of data science using Java, in no time at all. This course contains premium content from two of our recently published popular titles: Java for Data Science Mastering Java for Data Science Style and approach This course follows a tutorial approach, providing examples of each of the concepts covered. With a step-by-step instructional style, this book covers various facets of data science and will get you up and running quickly.

Debugging Our Computer Science Programs Research Evaluation And Recommendations For Improving Our Computer Science And Information Technology Academic Programs

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Author : Mark Reha
language : en
Publisher: Lulu.com
Release Date : 2019-07-18

Debugging Our Computer Science Programs Research Evaluation And Recommendations For Improving Our Computer Science And Information Technology Academic Programs written by Mark Reha and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-18 with Computers categories.

What could academia learn by studying our current software development teams already working professionally in corporate software engineering and Information Technology companies? What could academia learn from our recent college and university Computer Science graduates? Could academia use this information to identify gaps and provide constructive feedback to our colleges and universities to improve the quality of our education programs? This action research project provided research data to answer these questions. This book outlines research that was completed to debug our Computer Science and Information technology programs and also reflects how one major U.S. University has solved this problem.

Machine Learning End To End Guide For Java Developers

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Author : Richard M. Reese
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-10-05

Machine Learning End To End Guide For Java Developers written by Richard M. Reese and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-05 with Computers categories.

Develop, Implement and Tuneup your Machine Learning applications using the power of Java programming About This Book Detailed coverage on key machine learning topics with an emphasis on both theoretical and practical aspects Address predictive modeling problems using the most popular machine learning Java libraries A comprehensive course covering a wide spectrum of topics such as machine learning and natural language through practical use-cases Who This Book Is For This course is the right resource for anyone with some knowledge of Java programming who wants to get started with Data Science and Machine learning as quickly as possible. If you want to gain meaningful insights from big data and develop intelligent applications using Java, this course is also a must-have. What You Will Learn Understand key data analysis techniques centered around machine learning Implement Java APIs and various techniques such as classification, clustering, anomaly detection, and more Master key Java machine learning libraries, their functionality, and various kinds of problems that can be addressed using each of them Apply machine learning to real-world data for fraud detection, recommendation engines, text classification, and human activity recognition Experiment with semi-supervised learning and stream-based data mining, building high-performing and real-time predictive models Develop intelligent systems centered around various domains such as security, Internet of Things, social networking, and more In Detail Machine Learning is one of the core area of Artificial Intelligence where computers are trained to self-learn, grow, change, and develop on their own without being explicitly programmed. In this course, we cover how Java is employed to build powerful machine learning models to address the problems being faced in the world of Data Science. The course demonstrates complex data extraction and statistical analysis techniques supported by Java, applying various machine learning methods, exploring machine learning sub-domains, and exploring real-world use cases such as recommendation systems, fraud detection, natural language processing, and more, using Java programming. The course begins with an introduction to data science and basic data science tasks such as data collection, data cleaning, data analysis, and data visualization. The next section has a detailed overview of statistical techniques, covering machine learning, neural networks, and deep learning. The next couple of sections cover applying machine learning methods using Java to a variety of chores including classifying, predicting, forecasting, market basket analysis, clustering stream learning, active learning, semi-supervised learning, probabilistic graph modeling, text mining, and deep learning. The last section highlights real-world test cases such as performing activity recognition, developing image recognition, text classification, and anomaly detection. The course includes premium content from three of our most popular books: Java for Data Science Machine Learning in Java Mastering Java Machine Learning On completion of this course, you will understand various machine learning techniques, different machine learning java algorithms you can use to gain data insights, building data models to analyze larger complex data sets, and incubating applications using Java and machine learning algorithms in the field of artificial intelligence. Style and approach This comprehensive course proceeds from being a tutorial to a practical guide, providing an introduction to machine learning and different machine learning techniques, exploring machine learning with Java libraries, and demonstrating real-world machine learning use cases using the Java platform.

Programming In Java

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Author : Dr Kamlendu Kumar Pandey
language : en
Publisher: Onlinegatha
Release Date : 2020-08-26

Programming In Java written by Dr Kamlendu Kumar Pandey and has been published by Onlinegatha this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-26 with Computers categories.

Even after 25 years of its birth, Java is still on the top of all programming languages. The reason is its platform independence and architectural neutrality. This is the reason why every curriculum of computer science and engineering have a subject of Java Programming. The authors of this book have vast experience in teaching Java at undergraduate and post graduate level. This book is the nectar of their experience and it has been written looking at the all perspective of education and understanding the concepts and applications. The focus is moreover on the fundamental aspects of the Java Programming. The authors have tried to cover all the latest developments in the language which is happening from time to time.

Essential Java 3d Fast

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Author : Ian Palmer
language : en
Publisher: Springer
Release Date : 2014-10-03

Essential Java 3d Fast written by Ian Palmer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-03 with Computers categories.

This is an introductory textbook for those who want to learn Java 3D fast. It is packed with numerous examples and illustrations, including an 8-page colour section. The author takes readers through the different stages of writing a simple program in Java 3D and then shows how to modify and add features to the program. Indeed, one of the best way to learn any programming language is by writing programs. The examples in this book assume a working knowledge of Java and some background in 3D graphics. It is one of the first books to introduce Java 3D at an introductory level.