#Embedded Development

[debian-official]

it has been so long since reading and writing to addresses picked from a datasheet >.< idk if I really missed all this

[avantaritechnologies]

Dhyana: New-age meditation tracking device that guides you through effective meditation sessions

[bitstream24]

Exploring the ESP32 Processor and Its CAN Interface Programming

The ESP32 processor, developed by Espressif Systems, has rapidly emerged as a favorite among developers and hobbyists alike due to its robust performance, integrated wireless connectivity, and versatility in handling various tasks. Among its many features is a built-in CAN (Controller Area Network) interface—technically implemented as a TWAI (Two-Wire Automotive Interface) controller—that has opened up a range of possibilities for automotive and industrial applications.

[electronicsbuzz]

https://electronicsbuzz.in/microchips-mplab-ai-coding-assistant-enhances-embedded-development/

[block-verse-infotech-solution]

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Furthermore, embracing emerging technologies like blockchain, Internet of Things (IoT), and embedded systems opens up new avenues for innovation and competitive advantage. Blockchain technology ensures data integrity and security, making it ideal for applications in finance, supply chain management, and healthcare. IoT facilitates real-time monitoring and data-driven decision-making, revolutionizing industries ranging from manufacturing to healthcare. Embedded systems, on the other hand, power a plethora of devices, from smartphones to industrial machinery, enabling seamless connectivity and functionality.

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[oxymoratechnologypvtltd]

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[informationtechnologyblog]

Embedded Development Services

[maddieandangel]

First Ghost doodle page of the year! As I test out a new way of maybe drawing their cloak, based on a headcanon of mine.

[tea-cat-arts]

I'm willing to at least hear out most of the "xyz plot point is heavily tied to abc cultural context" brands of posts but the "wwx isn't meant to be read as morally gray" and "the western fandom made up Sizhui being wangxian's son" brands of post make me feel like my cultural ignorance is being used to gaslight me

[theramblingvoid]

I think the biggest thing about Sunless Skies that gives it a different feel than Fallen London (other than the obvious gameplay differences) is the position of your player in the universe. In Flondon, your character is important and singular. The storyline is oriented around mastery and influence: starting from the bottom and climbing to the top, gaining recognition and reach as you unravel the world's secrets. While social play is encouraged, there are few in-game characters comparable to the PC, and in many plotlines the idea of being the only or the first one to accomplish a certain thing is specifically emphasized. The story is about what path you take to Make Your Name.

In Sskies, that goal is not absent, but there's a sense of...fleetingness, that never quite leaves you. There are many others like you. You see their entries in the cache logs, they are mentioned in the ports and pubs, you find their frozen bodies littering the open void like stones. It is the very first thing you know when you start: you are a Captain filling the shoes of a predecessor, and in all likelihood simply keeping them warm for the next to come after you, and the next. Your time is limited. Your significance to the wild, vast, ancient skies is negligible. The drive in the story comes from this: Your space in this universe is small and hard fought. Make it count.

[unforgivingchorus]

I’ve got like story boards for a red Robin solo run that would retcon a lot of the unfinished arcs of the last red Robin (keeping brucequest cause it was mostly finished) but the only person I would ever want drawing it is Juni Ba who’s doing the current boy wonder run. In love with her art actually.

[bitstream24]

ESP32 Development Kits with Onboard CAN Bus Controller

The ESP32 includes a CAN Bus controller compatible with the NXP SJA1000, making it compliant with the CAN 2.0B (ISO 11898, also known as Classical CAN) specification.

Nevertheless, as with the SJA1000, the ESP32 CAN Bus controller only provides the data link layer and the physical layer signaling sublayer. As a result, an external transceiver module is needed to convert the ESP32's CAN-RX and CAN-TX signals into CAN_H and CAN_L bus signals.

[cerulity]

frontend development is so confusing to me sdggsfgdf how can people do this for a living

i could read a thousand pages of embedded manuals and understand everything but literally anything to do with frontend development leaves me with a hydra of questions, answering one question will make me question like five other things

[lesbianshadowheart]

How I sleep knowing Aloy is a lesbian and HZ3 will not have dating sim-like romance options

[el-ffej]

IMO: Absolutely, positively spot-on. Been a software engineer from 1980 to 2016, and this just nails the tech industry economics (and phases) that I saw then, and that I see now.

Must-read. Brilliantly written and on target. Kudos and applause, OP.

If anyone wants to know why every tech company in the world right now is clamoring for AI like drowned rats scrabbling to board a ship, I decided to make a post to explain what's happening.

(Disclaimer to start: I'm a software engineer who's been employed full time since 2018. I am not a historian nor an overconfident Youtube essayist, so this post is my working knowledge of what I see around me and the logical bridges between pieces.)

Okay anyway. The explanation starts further back than what's going on now. I'm gonna start with the year 2000. The Dot Com Bubble just spectacularly burst. The model of "we get the users first, we learn how to profit off them later" went out in a no-money-having bang (remember this, it will be relevant later). A lot of money was lost. A lot of people ended up out of a job. A lot of startup companies went under. Investors left with a sour taste in their mouth and, in general, investment in the internet stayed pretty cooled for that decade. This was, in my opinion, very good for the internet as it was an era not suffocating under the grip of mega-corporation oligarchs and was, instead, filled with Club Penguin and I Can Haz Cheezburger websites.

Then around the 2010-2012 years, a few things happened. Interest rates got low, and then lower. Facebook got huge. The iPhone took off. And suddenly there was a huge new potential market of internet users and phone-havers, and the cheap money was available to start backing new tech startup companies trying to hop on this opportunity. Companies like Uber, Netflix, and Amazon either started in this time, or hit their ramp-up in these years by shifting focus to the internet and apps.

Now, every start-up tech company dreaming of being the next big thing has one thing in common: they need to start off by getting themselves massively in debt. Because before you can turn a profit you need to first spend money on employees and spend money on equipment and spend money on data centers and spend money on advertising and spend money on scale and and and

But also, everyone wants to be on the ship for The Next Big Thing that takes off to the moon.

So there is a mutual interest between new tech companies, and venture capitalists who are willing to invest $$$ into said new tech companies. Because if the venture capitalists can identify a prize pig and get in early, that money could come back to them 100-fold or 1,000-fold. In fact it hardly matters if they invest in 10 or 20 total bust projects along the way to find that unicorn.

But also, becoming profitable takes time. And that might mean being in debt for a long long time before that rocket ship takes off to make everyone onboard a gazzilionaire.

But luckily, for tech startup bros and venture capitalists, being in debt in the 2010's was cheap, and it only got cheaper between 2010 and 2020. If people could secure loans for ~3% or 4% annual interest, well then a $100,000 loan only really costs $3,000 of interest a year to keep afloat. And if inflation is higher than that or at least similar, you're still beating the system.

So from 2010 through early 2022, times were good for tech companies. Startups could take off with massive growth, showing massive potential for something, and venture capitalists would throw infinite money at them in the hopes of pegging just one winner who will take off. And supporting the struggling investments or the long-haulers remained pretty cheap to keep funding.

You hear constantly about "Such and such app has 10-bazillion users gained over the last 10 years and has never once been profitable", yet the thing keeps chugging along because the investors backing it aren't stressed about the immediate future, and are still banking on that "eventually" when it learns how to really monetize its users and turn that profit.

The pandemic in 2020 took a magnifying-glass-in-the-sun effect to this, as EVERYTHING was forcibly turned online which pumped a ton of money and workers into tech investment. Simultaneously, money got really REALLY cheap, bottoming out with historic lows for interest rates.

Then the tide changed with the massive inflation that struck late 2021. Because this all-gas no-brakes state of things was also contributing to off-the-rails inflation (along with your standard-fare greedflation and price gouging, given the extremely convenient excuses of pandemic hardships and supply chain issues). The federal reserve whipped out interest rate hikes to try to curb this huge inflation, which is like a fire extinguisher dousing and suffocating your really-cool, actively-on-fire party where everyone else is burning but you're in the pool. And then they did this more, and then more. And the financial climate followed suit. And suddenly money was not cheap anymore, and new loans became expensive, because loans that used to compound at 2% a year are now compounding at 7 or 8% which, in the language of compounding, is a HUGE difference. A $100,000 loan at a 2% interest rate, if not repaid a single cent in 10 years, accrues to $121,899. A $100,000 loan at an 8% interest rate, if not repaid a single cent in 10 years, more than doubles to $215,892.

Now it is scary and risky to throw money at "could eventually be profitable" tech companies. Now investors are watching companies burn through their current funding and, when the companies come back asking for more, investors are tightening their coin purses instead. The bill is coming due. The free money is drying up and companies are under compounding pressure to produce a profit for their waiting investors who are now done waiting.

You get enshittification. You get quality going down and price going up. You get "now that you're a captive audience here, we're forcing ads or we're forcing subscriptions on you." Don't get me wrong, the plan was ALWAYS to monetize the users. It's just that it's come earlier than expected, with way more feet-to-the-fire than these companies were expecting. ESPECIALLY with Wall Street as the other factor in funding (public) companies, where Wall Street exhibits roughly the same temperament as a baby screaming crying upset that it's soiled its own diaper (maybe that's too mean a comparison to babies), and now companies are being put through the wringer for anything LESS than infinite growth that Wall Street demands of them.

Internal to the tech industry, you get MASSIVE wide-spread layoffs. You get an industry that used to be easy to land multiple job offers shriveling up and leaving recent graduates in a desperately awful situation where no company is hiring and the market is flooded with laid-off workers trying to get back on their feet.

Because those coin-purse-clutching investors DO love virtue-signaling efforts from companies that say "See! We're not being frivolous with your money! We only spend on the essentials." And this is true even for MASSIVE, PROFITABLE companies, because those companies' value is based on the Rich Person Feeling Graph (their stock) rather than the literal profit money. A company making a genuine gazillion dollars a year still tears through layoffs and freezes hiring and removes the free batteries from the printer room (totally not speaking from experience, surely) because the investors LOVE when you cut costs and take away employee perks. The "beer on tap, ping pong table in the common area" era of tech is drying up. And we're still unionless.

Never mind that last part.

And then in early 2023, AI (more specifically, Chat-GPT which is OpenAI's Large Language Model creation) tears its way into the tech scene with a meteor's amount of momentum. Here's Microsoft's prize pig, which it invested heavily in and is galivanting around the pig-show with, to the desperate jealousy and rapture of every other tech company and investor wishing it had that pig. And for the first time since the interest rate hikes, investors have dollar signs in their eyes, both venture capital and Wall Street alike. They're willing to restart the hose of money (even with the new risk) because this feels big enough for them to take the risk.

Now all these companies, who were in varying stages of sweating as their bill came due, or wringing their hands as their stock prices tanked, see a single glorious gold-plated rocket up out of here, the likes of which haven't been seen since the free money days. It's their ticket to buy time, and buy investors, and say "see THIS is what will wring money forth, finally, we promise, just let us show you."

To be clear, AI is NOT profitable yet. It's a money-sink. Perhaps a money-black-hole. But everyone in the space is so wowed by it that there is a wide-spread and powerful conviction that it will become profitable and earn its keep. (Let's be real, half of that profit "potential" is the promise of automating away jobs of pesky employees who peskily cost money.) It's a tech-space industrial revolution that will automate away skilled jobs, and getting in on the ground floor is the absolute best thing you can do to get your pie slice's worth.

It's the thing that will win investors back. It's the thing that will get the investment money coming in again (or, get it second-hand if the company can be the PROVIDER of something needed for AI, which other companies with venture-back will pay handsomely for). It's the thing companies are terrified of missing out on, lest it leave them utterly irrelevant in a future where not having AI-integration is like not having a mobile phone app for your company or not having a website.

So I guess to reiterate on my earlier point:

Drowned rats. Swimming to the one ship in sight.

[rapidise]

A Comprehensive Guide for Embedded Software Development for Medical Devices 

As a reality check, the embedded software development life cycle of a medical device is not only challenging, but it is also sophisticated in regard to the value proposition it presents to the healthcare payers and patients. Consequently, as the field of medicine continuous to evolve, these tools become more complex as their operations are managed by embedded software which needs to be integrated with the system in a way that guarantees safe and effective operation. This in-depth tutorial will guide you through the development embedded software for medical devices and all regulatory considerations that must be addressed.

Grasping the Regulatory Framework

Manufacturers of medical devices will always be bound by the numerous laws from the Federal Drug Administration (FDA) concerning effectiveness and safety of medical devices. Starting March 2023, the FDA began restricting submissions of Software Bill of Materials (SBOM) unless there was a set cybersecurity strategy. By October 2023 the FDA started refusing to accept submission of devices that had cyber security problems.

The regulatory landscape requires manufacturers to:

Implement a risk-based approach to software design and testing Conduct thorough validation of software functionality and security

Ensure devices can detect and respond to security incidents

Establish processes for monitoring and reporting security issues

Conduct ongoing testing throughout the device's lifecycle

Key Components of Embedded Medical Device Software

Hardware-Software Integration

In medical devices, embedded systems must achieve full intergration of hardware parts and software. This is necessary to guarantee that the medical devices operate as needed and that safety regulations are satisfied.

Real-Time Operating Systems (RTOS)

Many medical devices use Real-Time Operating Systems because they require some degree of waiting time to perform an important task. Such OS’s are essential in time-sensitive operations. For embedded medical devices, RTOS frameworks like FreeRTOS and Zephyr are routinely deployed.

Software Architecture

The structure has to be modular, so that later maintenance, testing, and validation would be easier. That also helps meet regulatory standards because tracking requirements to be enacted is simplified.

Read Also: Integrating Hardware and Software in Embedded Systems Development

The Development Process

Establishing a Regulatory Strategy Early

Prior to commencing any developmental work, formulate and put in writing a regulatory strategy that is aligned with the device's capabilities and goals. This becomes particularly critical in the case of Software as a Medical Device (SaMD), wherein modifying software becomes relatively easier than changing a hardware component.

Selecting the Right Development Team

Select the relevant personnel from the software policy team having working knowledge in cyber security, more so, if drastic changes are anticipated post initial launch of the product. Engage the services of engineers specialized in software development of medical devices as they have working knowledge of the required documentation for the device regulatory processes.

Programming Languages and Tools

Common languages used in embedded medical device development include:

C: Efficient and suitable for low-level memory management

C++: Provides object-oriented features for complex systems

Assembly: For performance-critical applications requiring direct hardware access

Rust: Offers memory safety features for developing secure systems

Implementing Security by Design

Security is not an add-on but a fundamental aspect of medical device software development. The FDA requires manufacturers to:

Conduct secruity risk assessments to identify potential vulnerabilities

Implement security controls to mitigate identified risks

Design software to be resilient against potential attacks

Ensure the ability to detect and respond to security incidents

Testing and Validation

Comprehensive Testing Approach

Testing should cover every aspect of the software, including:

Unit testing for individual components

Integration testing for combined components

System testing for the entire device

Performance testing under various conditions

Security testing to identify vulnerabilities

Documentation Requirements

Thorough documentation is essential for regulatory compliance. This includes:

Design specifications

Risk assessments

Test protocols and results

Validation reports

User manuals and technical documents

Post-Market Requirements

Getting regulatory clearance is just the beginning. Once your device is on the market, you must:

1. Maintain annual Establishment Registration

2. List your device(s)

3. Implement and maintain Quality Management System (QMS) processes

4. Document changes to software and assess regulatory impact

5. Be prepared for FDA audits

6. Run postmarket cybersecurity processes including periodic penetration tests and vulnerability scans

7. Conduct postmarket surveillance

8. Produce Unique Device Identifiers for new versions

Managing Software Updates

Yes, you can update your software after FDA clearance, and in fact, the FDA expects you to provide cybersecurity updates. However, significant changes may require a new 510(k) submission, possibly including new clinical or performance data.

Strategic planning around feature development is crucial. Consider creating key features that FDA needs to evaluate in version 1.0, then have your engineering team work on version 1.1 features while waiting for FDA review.

Best Practices for Success

Optimize code for performance, power consumption, and memory usage

Implement robust error handling mechanisms

Reuse code when possible to reduce development time

Provide thorough documentation for maintainability

Perform comprehensive testing to ensure code meets requirements

Raise sufficient funding for clinical performance validation, non-clinical testing, software documentation, and cybersecurity.

Conclusion

A greener tomorrow starts with better healthcare today, and embedded software for medical devices is at the forefront of this transformation. By integrating robust security measures, following regulatory guidelines, and implementing best development practices, manufacturers can create safe, effective medical devices that enhance patient care while maintaining compliance.

Let's build smarter, develop better, and create medical devices that care for both patients and healthcare providers. The truth is, embedded software development for medical devices is complex but essential for advancing healthcare technology and improving patient outcomes.