Get all the things done you're used to doing with pricey software at a fraction of the cost. There are hundreds of free programs out there that work just as well as the commercial programs people pay hundreds of dollars for. This book tells you how to find and use the most popular and useful of these. The Open Source movement is a system where programmers can share code and collectively improve programs. As a result they can produce programs that are just as good, if not better than their commercial alternatives. For example, LibreOffice comes with a database, Microsoft Office does not. This book shows you where to get and how to use the best Open Source programs giving you not only access to high quality software, but saving you money as well. Add Practical Free Alternatives to Commercial Software to your library today. What You'll Learn Use the free spreadsheet program Libreoffice-calc to balance your checkbook, do an expense account, and other tasks Perform presentations with Libreoffice-impress instead of Powerpoint Photo edit with The Gimp, a high powered image editor Edit videos with Openshot Create video DVDs with DVDStyler Who This Book Is For Home or small business PC users who want to save money on software

It’s easy to capture packets with Wireshark, the world’s most popular network sniffer, whether off the wire or from the air. But how do you use those packets to understand what’s happening on your network? Updated to cover Wireshark 2.x, the third edition of Practical Packet Analysis will teach you to make sense of your packet captures so that you can better troubleshoot network problems. You’ll find added coverage of IPv6 and SMTP, a new chapter on the powerful command line packet analyzers tcpdump and TShark, and an appendix on how to read and reference packet values using a packet map. Practical Packet Analysis will show you how to: –Monitor your network in real time and tap live network communications –Build customized capture and display filters –Use packet analysis to troubleshoot and resolve common network problems, like loss of connectivity, DNS issues, and slow speeds –Explore modern exploits and malware at the packet level –Extract files sent across a network from packet captures –Graph traffic patterns to visualize the data flowing across your network –Use advanced Wireshark features to understand confusing captures –Build statistics and reports to help you better explain technical network information to non-techies No matter what your level of experience is, Practical Packet Analysis will show you how to use Wireshark to make sense of any network and get things done.

In the past several years, DNA microarray technology has attracted tremendous interest in both the scientific community and in industry. With its ability to simultaneously measure the activity and interactions of thousands of genes, this modern technology promises unprecedented new insights into mechanisms of living systems. Currently, the primary applications of microarrays include gene discovery, disease diagnosis and prognosis, drug discovery (pharmacogenomics), and toxicological research (toxicogenomics). Typical scientific tasks addressed by microarray experiments include the identification of coexpressed genes, discovery of sample or gene groups with similar expression patterns, identification of genes whose expression patterns are highly differentiating with respect to a set of discerned biological entities (e.g., tumor types), and the study of gene activity patterns under various stress conditions (e.g., chemical treatment). More recently, the discovery, modeling, and simulation of regulatory gene networks, and the mapping of expression data to metabolic pathways and chromosome locations have been added to the list of scientific tasks that are being tackled by microarray technology. Each scientific task corresponds to one or more so-called data analysis tasks. Different types of scientific questions require different sets of data analytical techniques. Broadly speaking, there are two classes of elementary data analysis tasks, predictive modeling and pattern-detection. Predictive modeling tasks are concerned with learning a classification or estimation function, whereas pattern-detection methods screen the available data for interesting, previously unknown regularities or relationships.

Intelligent Human Systems Integration 2024 Proceedings of the 7th International Conference on Intelligent Human Systems Integration: Integrating People and Intelligent Systems, Università degli Studi di Palermo, Palermo, Italy, February 22- 24, 2024

Provides information on ways to use Wireshark to capture and analyze packets, covering such topics as building customized capture and display filters, graphing traffic patterns, and building statistics and reports.

Essay Collection covering the point where software, law and social justice meet.

The combination of Internet and GSM (Global System for Mobile communications, cellular phones) enables individuals with wireless devices to interact easily with information and services over existing wireless networks. The Wireless Application Protocol (WAP) is the facilitator of this process. This HOTT (Hands On HOT Topics) Guide illuminates effective strategies and marketing opportunities with respect to this new and uncharted territory. The white papers and case studies published in this book help you to combine this technology with your business. Consultants, Sales, Marketing and Technical managers can now profit from the knowledge gathered in this unique WAP Special.

Designed to serve as the first point of reference on the subject, Comprehensive Chemometrics presents an integrated summary of the present state of chemical and biochemical data analysis and manipulation. The work covers all major areas ranging from statistics to data acquisition, analysis, and applications. This major reference work provides broad-ranging, validated summaries of the major topics in chemometrics—with chapter introductions and advanced reviews for each area. The level of material is appropriate for graduate students as well as active researchers seeking a ready reference on obtaining and analyzing scientific data. Features the contributions of leading experts from 21 countries, under the guidance of the Editors-in-Chief and a team of specialist Section Editors: L. Buydens; D. Coomans; P. Van Espen; A. De Juan; J.H. Kalivas; B.K. Lavine; R. Leardi; R. Phan-Tan-Luu; L.A. Sarabia; and J. Trygg Examines the merits and limitations of each technique through practical examples and extensive visuals: 368 tables and more than 1,300 illustrations (750 in full color) Integrates coverage of chemical and biological methods, allowing readers to consider and test a range of techniques Consists of 2,200 pages and more than 90 review articles, making it the most comprehensive work of its kind Offers print and online purchase options, the latter of which delivers flexibility, accessibility, and usability through the search tools and other productivity-enhancing features of ScienceDirect

Practical DWR Web 2.0 Projects addresses the needs of most developers who would rather learn by example and by doing. This book contains several projects that developers can sink their teeth into doing. Written by accomplished Ajax and Java Web developer and author, Frank Zammetti, this book explores DWR and all it offers. It features six full, working applications that use DWR. This book allows you to lean by example, as you tear the applications apart, you see what makes them tick, and even discover how to extend them at your own pace.

Health Informatics (HI) focuses on the application of Information Technology (IT) to the field of medicine to improve individual and population healthcare delivery, education and research. This extensively updated fifth edition reflects the current knowledge in Health Informatics and provides learning objectives, key points, case studies and references.