Hello. I am Paul Kinlan.

As part of my ongoing project to build a CSS 2.0 parser in C#, I've developed a regular expression based on the CSS 2.0 specification to extract class names from CSS files. This regex is a step towards creating a complete CSS 2.0 parser, and I plan to develop more regular expressions for other CSS elements in the coming days. Check out my related side project about creating a CSS 2.0 parser in C# for more context.

I'm diving into the official CSS 2.1 specification to build a C# based token reader for CSS parsing. The document itself is quite dense, but it lays out the syntax and provides regular expressions to guide the implementation. This is going to be a challenging but interesting project.

A visitor searched Google for a "c# css parser" and landed on my site. Intrigued, I explored existing C# CSS parsers but found nothing. This sparked an idea for a personal project: creating my own parser. I envision distinct classes for each CSS type, managing their rules and attributes. A "Finder Class" would locate CSS classes and instantiate corresponding C# objects.

This post addresses the Google search query "create a dsl connection in c#". It clarifies that C# doesn't create DSL-specific connections. Instead, you use standard TCP connections via System.Net.Sockets and System.Net, relying on Windows to manage the network interface.

I've started a new blog dedicated to book reviews using WordPress! Check it out at http://books.kinlan.co.uk. I'm quite impressed with WordPress's flexibility and plugin options, a definite upgrade from Blogger. I'm still working on some features, like automatically directing users to the correct Amazon site based on their location, but feedback is welcome!

I've added Amazon affiliate links to relevant books on my blog posts, hoping to provide useful recommendations and earn a small commission. So far, I've had one referral. I'd love to hear your feedback: Do you find these book recommendations helpful? Would you consider purchasing a recommended book? What factors influence your book-buying decisions? Is it clear which links go to the UK Amazon site versus the US site? Recent stats suggest a low conversion rate for affiliate links (around 0.24%), so I'm evaluating whether the effort is worthwhile given the advertising benefit to Amazon.

Robert Scoble's new book on business blogging emphasizes building meaningful customer relationships through online dialogue. It argues that blogs humanize corporate communication, leading to improved brand image and profitability. The book includes case studies and interviews with business leaders like Mark Cuban, Bob Lutz, and Jonathan Schwartz, demonstrating blogging's impact on communication and competition. It also provides tools and strategies for businesses to effectively connect with customers by leveraging blogs' rapid information dissemination and encouraging active reader participation.

I've updated the Ajax Tagger to Version 2.0! This update fixes a bug that's been present since Christmas. I've also added a Google Ad to the site.

My site hasn't been updated because I just moved and haven't had internet access. That's changing today with the installation of Telewest Broadband 4Mbs! I'm excited to get back online.

This excerpt from my final year project explores different types of telecom fraud, which I'll use as a basis for a C# neural network. Telecom fraud can be categorized into subscription fraud (false identities or payment evasion), call surfing (unauthorized network access through methods like call forwarding or cloning), ghosting (manipulating systems to avoid billing), accounting fraud (internal manipulation of billing systems), and information abuse (misuse of client or system data). I discuss the financial impact of these methods, such as bad debt from subscription fraud and costs incurred from call surfing via PABX manipulation. I also touch upon the vulnerabilities of older analogue mobile phones to cloning and the methods used in ghosting, like tone generating hardware. The project aims to address these fraud types through a neural network approach.