Hello all:

 

I am fairly new to the Java world and would like some advice on how to handle rs-232 communications with a Java based GUI I am working on.  Several years ago I created a similar GUI with Visual Basic, but my coding skills are a bit rusty and I never got the communication thing completely figured out.  I could send command strings easy enough, but I had trouble getting responses and processing them quickly.

 

The current GUI is to control an RGB lighting system.  It has some sliders, some radio buttons, and a few check boxes.  When the sliders move a command string needs to be sent out.  It will have to happen quickly so that the change in light level is smooth.  When the radio buttons and check boxes are clicked, single commands will have to be sent out.

 

I would also like to be able to handle any responses sent back from the controller.  When the sliders are moved, there will be a lot of comm traffic coming back to the GUI.  I sure this will require a buffer of some kind, but I am not sure how to set it up.

 

Once I get the rs-232 option up and running, I need to look at communicating with the light controller via an Ethernet connection.

 

Any advise or assistance would be appreciated.

 

 

Paul Stearns

Views: 525

Reply to This

Replies to This Discussion

Thanks Nem.  I will check those out.

 

Paul

I took a look at some of the documentation and it seems that RS-232 is not supported for Windows apps anymore.  If this is indeed the case, then I guess I need to look at sending communications via Ethernet and using a converter to get it to the RS-232 device.

 

Any guidance on how to proceed would be appreciated.

Reply to Discussion

RSS

Happy 10th year, JCertif!

Notes

Welcome to Codetown!

Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
Continue

Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.

Looking for Jobs or Staff?

Check out the Codetown Jobs group.

 

Enjoy the site? Support Codetown with your donation.



InfoQ Reading List

Code Arena Launches as a New Benchmark for Real-World AI Coding Performance

LMArena has launched Code Arena, a new evaluation platform that measures AI models' performance in building complete applications instead of just generating code snippets. It emphasizes agentic behavior, allowing models to plan, scaffold, iterate, and refine code within controlled environments that replicate actual development workflows.

By Robert Krzaczyński

AWS Introduces Remote Build Cache in ECR to Accelerate Docker Image Builds

Amazon Web Services has announced enhancements to its CodeBuild service, allowing teams to use Amazon ECR as a remote Docker layer cache, significantly reducing image build times in CI/CD pipelines. By leveraging ECR repositories to persist and reuse build layers across runs, organisations can skip rebuilding unchanged parts of containers and accelerate delivery.

By Craig Risi

Article: Holistic Engineering: Organic Problem Solving for Complex Evolving Systems

Late projects. Architectures that drift from their original design. Code that mysteriously evolves into something nobody planned. These persistent problems in software development often stem not from technical failures, but from forces we pretend don't exist—reward systems that incentivize the wrong behaviors, organizational structures that ignore domain boundaries, and human dynamics.

By Vanessa Formicola

Podcast: Cloud Security Challenges in the AI Era - How Running Containers and Inference Weaken Your System

Marina Moore, a security researcher and the co-chair of the security and compliance TAG of CNCF, shares her concerns about the security vulnerabilities of containers. She explains where the issues originate, providing solutions and discussing alternative routes to using micro-VMs rather than containers. Additionally, she highlights the risks associated with AI inference.

By Marina Moore

Kimi's K2 Opensource Language Model Supports Dynamic Resource Availability and New Optimizer

Kimi released K2, a Mixture-of-Experts large language model with 32 billion activated parameters and 1.04 trillion total parameters, trained on 15.5 trillion tokens. The release introduces MuonClip, a new optimizer that builds on the Muon optimizer by adding a QK-clip technique designed to address training instability, which the team reports resulted in "zero loss spike" during pre-training.

By Vinod Goje

© 2025   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service