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Related Concept Videos

Communication01:03

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Communication between two animals occurs when one animal transmits an information signal that causes a change in the animal that receives the information. Organisms communicate with one another in a host of different ways. Signals can be auditory, chemical, visual, tactile, or a combination of these. Communication is a critical behavioral adaptation that promotes survival, growth, and reproduction.
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Communication01:28

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Sharing information, concepts, and emotions to foster mutual understanding is communication. The sender, recipient, and transaction must be considered in this manner. The sender is the person who shares the message, the recipient is the person who receives and understands the message, and the transaction is the method used to deliver the message and the variables that affect the communication's context and surroundings. The nurse-client connection is built on therapeutic communication.
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Vision01:24

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Color Vision01:24

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The term "intelligence" is complex because it refers to both behavior and individuals, and its interpretation varies across cultures. European Americans tend to link intelligence with reasoning and cognitive skills, while in Kenya, it is tied to responsible participation in family and social life. In Uganda, intelligence is seen as the ability to know the right actions and carry them out effectively, while the Iatmul people of Papua New Guinea associate it with the capacity to remember...
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Computer-vision-based intelligent adaptive transmission for optical wireless communication.

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    Optical wireless communication (OWC) performance depends on channel conditions. Computer vision techniques can assess channel quality from images, enabling intelligent adaptive transmission for improved OWC systems.

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    Area of Science:

    • Optical wireless communication
    • Computer Vision
    • Integrated Communication Systems

    Background:

    • Optical wireless communication (OWC) is crucial for integrated space-air-ground-ocean networks.
    • OWC systems are sensitive to channel variations, impacting transmission and imaging quality.
    • A direct link exists between OWC performance and optical imaging quality.

    Purpose of the Study:

    • Introduce computer vision mechanisms into OWC systems.
    • Propose a computer vision-based multi-domain cooperative adjustment (CV-MDCA) mechanism for intelligent adaptive transmission.
    • Quantitatively determine online channel quality from captured images using computer vision.

    Main Methods:

    • Developed functional modules for the CV-MDCA mechanism.
    • Employed effective computer vision schemes to assess channel quality from images.
    • Conducted experiments in simulated underwater visible light communication and practical atmospheric free-space optics.

    Main Results:

    • Validated the feasibility of determining channel quality using captured channel images.
    • Demonstrated the effectiveness of the CV-MDCA mechanism in OWC systems.
    • Identified limitations of the proposed computer vision-based criteria.

    Conclusions:

    • Computer vision offers a viable approach for real-time channel quality assessment in OWC.
    • The CV-MDCA mechanism enables intelligent adaptive transmission, enhancing OWC reliability.
    • Further research is needed to refine computer vision criteria for broader applicability.