AI system
- System
-
Proposed AI misalignment model for residential satellite dishes
- Model
-
Not assessed
- Release
-
Not assessed
- Application developer
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Mbeya University of Science and Technology (MUST)
- Role
-
Not assessed
- Configuration
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Not assessed
- Inputs and outputs
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Not assessed
- Autonomy
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Not assessed
- Workflow
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Proposed training of an AI model on dish-misalignment patterns.
- Human oversight
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Not assessed
- Relation to AI
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A learned misalignment model is proposed as future work. The currently specified stored-angle lookup, motor movement and feedback controls do not by themselves establish AI use.
- AI contribution
-
A learned misalignment model is proposed as future work. The currently specified stored-angle lookup, motor movement and feedback controls do not by themselves establish AI use.
Benefits
- Outcome identifiers
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Not assessed
- Benefit
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MUST proposes training an AI model on dish-misalignment patterns to improve realignment. Its current design uses stored angles and feedback controls; AI-related gains remain unmeasured.
- Category
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Reduced Task Cost
- Status
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Intended benefit
- Beneficiary groups
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People. Organizations.
- Beneficiaries
-
Not assessed
- Reach
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Not assessed
- Distribution and access
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Not assessed
- Duration
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Not assessed
- Expected?
-
Yes
- Costs and harms
-
Not assessed
Measurement
- Studies
-
Not assessed
- Study design
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Not assessed
- Measurement
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Not assessed
- Setting and sample
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Not assessed
- Measures
-
Not assessed
- Comparison
-
Not assessed
- Results
-
Not assessed
- Additional value from AI
-
Not assessed
- Limitations
-
Not assessed
- Denominators
-
Not assessed
- Materials for replication
-
Not assessed
Money
- Kind of value
-
Not assessed
- Amount
-
Not assessed
- Currency and prices
-
Not assessed
- Period and unit
-
Not assessed
- Realization
-
Not assessed
- Recipients and payers
-
Not assessed
- Gross or net
-
Not assessed
- Included costs
-
Not assessed
- Comparison
-
Not assessed
- Method
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Not assessed
- Return and payback
-
Not assessed
People and places
- Participants
-
Developer: Mbeya University of Science and Technology (MUST).
- Jurisdictions
-
Not assessed
- Ownership and control
-
Not assessed
- Dependencies
-
Not assessed
- Cross-border connections
-
Not assessed
- Geopolitical implications
-
Not assessed
Follow-up
- Conditions for replication
-
Representative labeled misalignment and signal-quality data. Satellite signal measurements and alignment-control hardware. Prototype testing in a university or residential setting.
- Replication attempts
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Not assessed
- Later findings
-
Not assessed
- Availability
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Not assessed
- Institutional decision
-
Not assessed
- Grounds
-
Not assessed
- Action and result
-
Not assessed
- Success criterion
-
Not assessed
Evidence
- Source numbers
-
AIBD-0515-source-0001
- Citations
-
Numbered references below.
- Language
-
Not assessed
- Source relationships
-
Developer
- Original evidence
-
Not assessed
- Access and versions
-
Not assessed
- Supported findings
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Not assessed
- Evidence links
-
Not assessed
- Evidence strength
-
Not assessed
- Missing evidence
-
Not assessed
Grades
- Assessed benefits
-
People. Organizations.
- Depth
-
Not assessed
- Reasons
-
People: The proposed model is intended to speed up dish realignment and reduce household inconvenience. Benefits from an implemented model are unreported. Organizations: Faster AI-assisted realignment is intended to reduce servicing effort. Savings from the proposed learned model are not established.
- Observed or intended
-
Intended benefit
- Rubric
-
Not assessed
- Assessor and date
-
Not assessed
- Alternative assessments
-
Not assessed
- Fill
-
The makers' claim
Entry details
- Kind
-
Not assessed
- Related entries
-
Not assessed
- Field
-
Smart home/cities.
- Purpose
-
Use a trained misalignment model to improve automatic satellite-dish realignment.
- Dates
-
Source information as of: June 2025. Updated: 22 October 2026.
- Stage
-
Not assessed
- Version
-
SHA-256: d88a97597ac4…
References
- Other identifiers
-
ITU AI for Good: Innovate for Impact (2025). ITU-132.
- Category mappings
-
Not assessed
- Brief
-
Not assessed
- Revisions
-
1 revisions. Latest: 22 October 2026.