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Related Concept Videos

Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
Schemata01:17

Schemata

A schema is a mental construct that organizes related concepts, allowing the brain to process information efficiently. Upon activation, schemata facilitate assumptions about people or objects.
Two types of schemata are:
Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point served as...
Schemas01:42

Schemas

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Levels of Use of a GIS01:29

Levels of Use of a GIS

Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
Nuclear Localization Signals and Import01:46

Nuclear Localization Signals and Import

Proteins targeted to the nucleus carry short stretches of amino acid sequences called the nuclear localization signal or NLS. Classical nuclear localization signals are of two types: monopartite and bipartite NLS. Monopartite classical NLS (cNLS) consists of a single cluster of 4-8 amino acids. Bipartite cNLS consists of two clusters of  2-3 amino acids and a 9-12 residue long proline-rich linker bridging the two clusters. Signal clusters are rich in positively charged amino acids such as...

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Related Experiment Videos

Semantic Scene Graphs for Creating a Localization-Ready Internet of Things.

Jan Kolberg, Michael Pabst, Verena Biener

    IEEE Transactions on Visualization and Computer Graphics
    |June 2, 2026
    PubMed
    Summary
    This summary is machine-generated.

    Augmented Reality (AR) offers a better way to control Internet of Things (IoT) devices by aligning virtual interfaces with physical objects. LORIOT system improves IoT device localization and control through semantic scene graphs and large language models.

    Related Experiment Videos

    Area of Science:

    • Human-Computer Interaction
    • Internet of Things (IoT)
    • Augmented Reality (AR)

    Background:

    • Fragmented user experience in controlling Internet of Things (IoT) devices due to multiple apps and remotes.
    • Augmented Reality (AR) offers potential for superior device control via spatially aligned virtual interfaces.
    • Accurate physical localization of IoT devices is a prerequisite for AR-based control.

    Purpose of the Study:

    • Introduce LORIOT (LOcalization-Ready Internet Of Things), a novel system for mapping networked IoT devices to physical objects.
    • Enable automatic generation of device control panels for both AR and non-AR clients.
    • Evaluate the effectiveness of AR for IoT device control compared to traditional methods.

    Main Methods:

    • Utilize a semantic scene graph and a large language model for device-to-object mapping.
    • Employ a declarative UI specification for automatic control panel generation.
    • Conduct user studies to compare AR control with conventional smartphone app and remote control interfaces.

    Main Results:

    • Achieved a macro-averaged F1 score of 0.80 for digital-to-physical associations using only network metadata.
    • Improved mapping performance to 0.88 F1 score by enriching metadata with physical attributes (location, materials, color, size).
    • User study demonstrated significantly faster task completion, lower mental demand, and higher usability with AR control.

    Conclusions:

    • LORIOT system effectively maps networked IoT devices to physical objects using semantic scene graphs and LLMs.
    • Spatially registered AR control significantly enhances user experience and task efficiency for IoT devices.
    • AR-based control presents a viable and superior alternative to traditional methods for managing connected devices.