lddi | Local Device Discovery and Integration connects sensor

by universAAL Java Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | lddi Summary

lddi is a Java library typically used in Edge Computing applications. lddi has no bugs, it has no vulnerabilities and it has low support. However lddi build file is not available. You can download it from GitLab, GitHub.

Local Device Discovery and Integration (LDDI) defines an abstraction layer that is able to represent and to facilitate the integration of sensors and actuators embedded in AAL spaces.

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Quality

Security

License

Reuse

Support

lddi has a low active ecosystem.

It has 12 star(s) with 6 fork(s). There are 10 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 243 have been closed. On average issues are closed in 10 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of lddi is current.

Quality

lddi has no bugs reported.

Security

lddi has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

lddi does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

lddi releases are not available. You will need to build from source code and install.

lddi has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed lddi and discovered the below as its top functions. This is intended to give you an instant insight into lddi implemented functionality, and help decide if they suit your requirements.

Registers the Activator
Start the OSGi service
Start the BundleContext
Start this bundle
Start this service
Start the BundleActivator
Start the KNX network driver
Start the service
Start the bundle
Handle service calls
Encodes a real object
Initialize the communication gateway
Called when the KNXDptDriver is updated
Generate Patient attributes
Decodes a choice
Decodes a real object
Main loop
Generate body weight
Called when OSGi service is updated
Write measurement data
Generate temperature attributes
Generate puser attributes
Generate the temperature attributes
Generate spo2 attributes
Generate the pulse attributes
Encodes the real object
Process configuration change
Extracts the status of a device

Get all kandi verified functions for this library.

lddi Key Features

No Key Features are available at this moment for lddi.

lddi Examples and Code Snippets

No Code Snippets are available at this moment for lddi.

Community Discussions

Trending Discussions on Edge Computing

Skooma input validator

How do I create a Near Edge computing system? (Send sensor data with Raspberry Pi/DHT11 sensor)

What is the time complexity of this peudo code?

QUESTION

Skooma input validator

Asked 2022-Feb-03 at 15:35

I was given a task to implement an input validator with the Skooma library https://github.com/bobfp/skooma#validators

The general concept is pretty clear, but for some inputs I have a list of "legal" words, and I have zero clue on how to implement the validation for this case. Hence why I came here, I wanted to ask if you know any examples / projects that used this library? I googled but didn't find anything. Of if you have any other tipps just let me know! 🙂 This is the example:

my schema:

...

ANSWER

Answered 2022-Jan-31 at 00:05

You need a custom validator function, here's an example:

Source https://stackoverflow.com/questions/70913797

QUESTION

How do I create a Near Edge computing system? (Send sensor data with Raspberry Pi/DHT11 sensor)

Asked 2021-Jan-22 at 10:01

I am working on edge computing for IoT applications and expected to create a system that acts as a near edge computer with the use of a raspberry pi hooked up to a dht11 sensor. How do I send this data over to a computer that is at the edge? Ideally I want to use my PC as this device but I have no clue how to send this data over in real time.

So far I have created the circuit and can view the temperature and humidity readings on the raspberry pi in python. Unsure of what the next steps are - I don't want to send this data over to the cloud just yet.

Side note: I believe i may be missing knowledge regarding this but is the raspberry pi an edge device because it is hooked up to the sensor directly?

Any help is greatly appreciated.

...

ANSWER

Answered 2021-Jan-22 at 10:01

You need to think this through a bit more. What will you do with the temperature and humidity data that you receive?

For example, if you're just experimenting and want to just see the readings in a console on your PC, you can use netcat to send the console output of your Python program from the RPi to PC. No SW development needed, they just have to be in the same network. Not particularly useful for anything else, either.

Otherwise you need to set up some client-server solution between the RPi and your PC. There's a ton of possible solutions, all depending on what you plan to do with the data. You can use MQTT, HTTP, a straight database connection (MySQL, PostgreSQL), etc. You have to supply both sides of the connection. The Python code on client side which connects and sends data; and the server side thing that accepts the samples and stores them somewhere. Plus all the networking, authentication etc.

Or you can just download the Python client libraries for your favourite cloud solution and set that up according to a tutorial. TBH, this sounds a lot less work to me.

Source https://stackoverflow.com/questions/65835920

QUESTION

What is the time complexity of this peudo code?

Asked 2020-Jun-21 at 12:16

I don't have a lot of knowledge computing the complexity. Can you help estimate the complexity of the following pseudo-codes?

Algorithm 1:

...

ANSWER

Answered 2020-Jun-21 at 11:50

Algorithm1

The algorithm1 will first perform simple multiplication and addition on vectors. Assuming that it loops from start to end on each vector and performs some calculations, the number of iterations made would be 3*N which would be considered O(N)

Source https://stackoverflow.com/questions/62497868

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install lddi

You can download it from GitLab, GitHub.
You can use lddi like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the lddi component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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