Have you ever needed to debug or profile an executable (.exe file) that you don’t have source for or can’t build? Then the least known Visual Studio project type, the EXE project, is for you!

In Visual Studio you can open any EXE as a ‘project’. Just go to File->Open->Project/Solution and browse to the .exe file. Like you would if it was a .sln file. Visual Studio will then open that EXE as a project. This feature has been around for a long time. It works on all currently supported Visual Studio versions and the docs for it are at  ‘Debug an app that isn’t part of a Visual Studio solution‘.

 

Cascadia Code is finally here! You can install it directly from the GitHub repository’s releases page or automatically receive it in the next update of Windows Terminal.

Wait, what’s Cascadia Code?

Cascadia Code was announced this past May at Microsoft’s Build event. It is the latest monospaced font shipped from Microsoft and provides a fresh experience for command line experiences and code editors. Cascadia Code was developed hand-in-hand with the new Windows Terminal application. This font is most recommended to be used with terminal applications and text editors such as Visual Studio and Visual Studio Code.

As per the latest stats reveal, there are more than 2.7 billion smartphone users globally and over 2.8 million apps on Google Play Store.

Now, it's a fact that the number of mobile users is increasing at outstanding speed, and so is the name of apps on Google Play Store.

But does all the apps success to make a difference? No, but just a handful of having stood out and gain popularity.

For instance, there are several games on the Play Store, but why only Candy Crush, Subway Surfers and Angry Birds topped the charts while the other games struggle for even ten downloads.

The trick is to provide the players with what they want, and in turn, the response for such apps is tremendous.

However, at this point, when the competition is very high, it's challenging to come up with something new that can stand out from the crowd.

It's crucial to create a brand name so that people can talk about it.

Setting up Linux on the development board like SocKit with a double-core ARM Cortex A9 is not rocket science. A manufacturer of the board supports the ready-to-use image, appropriate for installing on SD card or another media. But what if you are craving to touch bare metal, approaching a neck-breaking speed of code not restrained by an OS core? Well, it is possible, but not so easy and obvious. In this short essay, I'll give you step-by-step instruction, how to build and run you first bare-metal application on Cyclone V SoC, that uses ARM Cortex A9 core of the HPS subsystem of the SoC.

You need to have the development board with Intel (Altera) Cyclone V SoC. I used SoCKit board:

Many programmers struggle when using formal methods to solve problems within their programs, as those methods, while effective, can be unreasonably complex. To understand why this happens, let’s use the model checking method to solve a relatively easy puzzle:

Conditions

You’re in a hallway with seven doors on one side leading to seven rooms. A cat is hiding in one of these rooms. Your task is to catch the cat. Opening a door takes one step. If you guess the correct door, you catch the cat. If you do not guess the correct door, the cat runs to the next room.

This week we issue a really huge selection of all the essential news you might have missed on Front-end development. Make sure to check the latest updates on CSS, HTML, and JavaScript.

Manual lung segmentation takes about 10 minutes and it requires a certain skill to get the same high-quality result as with automatic segmentation. Automatic segmentation takes about 15 seconds.

I assumed that without a neural network it would be possible to get an accuracy of no more than 70%. I also assumed, that morphological operations are only the preparation of an image for more complex algorithms. But as a result of processing of those, although few, 40 samples of tomographic data on hand, the algorithm segmented the lungs without errors. Moreover, after testing in the first five cases, the algorithm didn’t change significantly and correctly worked on the other 35 studies without changing the settings.

Also, neural networks have a disadvantage — for their training we need hundreds of training samples of lungs, which need to be marked up manually.

Roslyn, the .NET compiler platform, helps you catch bugs even before you run your code. One example is Roslyn’s spellcheck analyzer that is built into Visual Studio. Let’s say you are creating a static method and misspelled the word static as statc. You will be able to see this spelling error before you run your code because Roslyn can produce warnings in your code as you type even before you’ve finished the line. In other words, you don’t have to build your code to find out that you made a mistake.



Roslyn analyzers can also surface an automatic code fix through the Visual Studio light bulb icon that allows you to fix your code immediately.

C++20 adds a new operator, affectionately dubbed the «spaceship» operator: <=>. There was a post awhile back by our very own Simon Brand detailing some information regarding this new operator along with some conceptual information about what it is and does. The goal of this post is to explore some concrete applications of this strange new operator and its associated counterpart, the operator== (yes it has been changed, for the better!), all while providing some guidelines for its use in everyday code.

«It's a dangerous business, Frodo, going out your door. You step onto the road, and if you don't keep your feet, there's no knowing where you might be swept off to.»

― J.R.R. Tolkien, The Lord of the Rings

Europe’s roads are the safest in the world. Current figures show that there are 50 fatalities per one million inhabitants, compared to the global figure of 174 deaths per million. Despite this, each loss remains a tragedy. In 2017, 25,300 people lost their lives on European roads.

The cause of these accidents can vary from human error and weather conditions, to damaged structures and surfaces. While some things are beyond the realms of control, road and bridge conditions are a variable which can be governed.

As soon as a road is paved, a combination of traffic and weather conditions begin to degrade and erode the surface. Undetected cracks, abrasions or defects can quickly lead to bigger problems, such as costly repairs, major traffic delays, and in the worst cases, unsafe condition. These problems are also shared by bridges, particularly when concrete is critical in maintaining the integrity of the structure. The earlier faults are detected, the sooner they can be addressed, saving time and money, while minimising disruption. Ultimately, this helps ensure that the roads themselves are safer for those travelling on them.

The detection of these faults, however, can be very difficult to carry out manually, especially as early-forming cracks are hard to spot with the naked eye. Predicting where faults are likely to occur ahead of time so that appropriate measures can be taken in advance also possess a massive challenge. Thankfully, technology is here to help.

We are pleased to announce that the June 2019 release of the Python Extension for Visual Studio Code is now available. You can download the Python extension from the Marketplace, or install it directly from the extension gallery in Visual Studio Code. If you already have the Python extension installed, you can also get the latest update by restarting Visual Studio Code. You can learn more about Python support in Visual Studio Code in the documentation.

In this release we made improvements that are listed in our changelog, closing a total of 70 issues including a plot viewer with the Python Interactive window, parallel tests with pytest, and indentation of run selection in the terminal.

This week we issue a really huge selection of all the essential news you might have missed on Front-end development. Make sure to check the latest updates on CSS, HTML, and JavaScript.

A few words about SObjectizer and its history

SObjectizer is a rather small C++ framework that simplifies the development of multithreaded applications. SObjectizer allows a developer to use approaches from Actor, Publish-Subscribe and Communicating Sequential Processes (CSP) models. It's an OpenSource project that is distributed under BSD-3-CLAUSE license.

SObjectizer has a long history. SObjectizer itself was born in 2002 as SObjectizer-4 project. But it was based on ideas from previous SCADA Objectizer that was developed between 1995 and 2000. SObjectizer-4 was open-sourced in 2006, but its evolution was stopped soon after that. A new version of SObjectizer with the name SObjectizer-5 was started in 2010 and was open-sourced in 2013. The evolution of SObjectizer-5 is still in progress and SObjectizer-5 has incorporated many new features since 2013.

SObjectizer is more or less known in the Russian segment of the Internet, but almost unknown outside of the exUSSR. It's because the SObjectizer was mainly used for local projects in exUSSR-countries and many articles, presentations, and talks about SObjectizer are in Russian.

A niche for SObjectizer and similar tools

Multithreading is used in Parallel computing as well as in Concurrent computing. But there is a big difference between Parallel and Concurrent computing. And, as a consequence, there are tools targeted Parallel computing, and there are tools for Concurrent computing, and they are different.

Hello, dear Habr users! This article is about Web 3.0 — the decentralized Internet. Web 3.0 introduces the concept of decentralization as the foundation of the modern Internet. Many computer systems and networks require security and decentralization features to meet their needs. A distributed registry using blockchain technology provides efficient solutions for decentralization.

This week we issue a really huge selection of all the essential news you might have missed on Front-end development. Make sure to check the latest updates on CSS, HTML, and JavaScript.

When I used to start a conversation about neural networks over a bottle of beer, people were casting glances at me of what seemed to be fear; they grew sad, sometimes with their eyelid twitching. In rare cases, they were even eager to take refuge under the table. Why? These networks are simple and instinctive, actually. Yes, believe me, they are! Just let me prove this is true!

Suppose there are two things I’m aware of about the girl: she looks pretty to my taste or not, and I have lots to talk about with her or I haven’t. True and false will be one and zero respectively. We’ll take similar principle for appearance. The question is: “What girl I’ll fall in love with, and why?”

We also can think it straight and uncompromisingly: “If she looks pretty and there’s plenty to talk about, then I will fall in love. If neither is true, then I quit”.

But what if I like the lady but there’s nothing to talk about with her? Or vice versa?

Last month, we announced the first preview builds of the next version of Microsoft Edge for Windows 10. Today, we are pleased to announce the availability of the Microsoft Edge Canary channel for macOS. You can now install preview builds from the Microsoft Edge Insider site for your macOS or Windows 10 PC, with more Windows version support coming soon.

Danny Krastev, Mirabbos Umarov, Ekaterina Menshenina, ITMO University, Info communication Systems, Computer Science. 2019

Abstract

Due to the never-ending increase in volume of vehicles surrounding our daily lives, Automatic Number Plate Recognition (ANPR), has become an evolving solution for managing and monitoring vehicles worldwide to enforce rules and prevent criminal activities, such as parking violation, red light violation, speeding, and vehicle theft. Although there is already a variety of public and private methods and libraries that have been developed and are used to achieve the automatic recognition of car license plate numbers around the world, there has not been much focus on making advancements toward a cross platform ANPR solution that supports all vehicle license plates worldwide. This paper introduces the Plate Vision project, a web and mobile application built on Ruby on Rails and React Native, which aims to serve as an alternative ANPR platform that supports detection of all license plates worldwide by utilizing various open source optical character recognition (OCR) libraries and making efficiency optimizations.

Key words and phrases: ruby, rails, react native, license plate recognition, plate region extraction, optical character recognition (OCR), ANPR.

There are a lot of tools for debugging kernel and userspace programs in Linux. Most of them have performance impact and cannot easily be run in production environments. A few years ago, eBPF was developed, which provides the ability to trace the kernel and userspace with low overhead, without needing to recompile programs or load kernel modules.

There are now plenty of tools that use eBPF and in this article, we’ll explain how to write your own profiling tool using the PythonBCC library. This article is based on a real issue from the production environment. We’ll walk you through solving the problem and show how existing bcc tools could be used in some cases.

Introduction

In early March 2019, Intersoft Eurasia team completed work on a test batch of DO-RA gadgets — personal, cross-platform dosimeters-radiometers to monitor the radiation situation at the measurement site, compatible with iOS and Android smartphones and tablets.

By buying such a device, the user receives the following: reliable electronics which have undergone radiation testing in the factory laboratory, stylish colored case in the spirit of Malevich ;) for every taste, gift packaging, color insert instructions in Russian and English, special USB charging cable, a free updateable DO-RA.Pro application from the App Store and Google Play.

The next step in our project implementation is to find the best sales channels for Made in Russia products in the challenging environment of stagnant purchasing power.