Page 37 - Preliminary Analysis Towards a Standardized Readiness Framework - Interim Report

Preliminary Analysis Towards a Standardized Readiness Framework

(continued)

Examples Potential AI impacts
Characteristics
1. SRC (source) - real-time - is the driver, RSU (roadside unit) sensors,
Weather conditions
2. C (collector)
3. PP (preprocessor)
4. M (analytical model)
5. P (policy)
6. D (distributor)
7. SINK (where the action is applied)
Example:
Open data: Data 1) Data collection – conversion – quantization/aggregation/
handling range-checking – network – model – users [15]
2) Data format Conversion of sensed data to formats to protocols
such as LoRa. [48]
3) Local contextualization and mapping to local regulations and poli-
cies.
4) RAG-based backend database with dynamic update capabilities.
5) APIs for asynchronous update of warning systems and endpoints
for consuming generated predictions [50]
6) Streaming formats for camera data for fire detection [51]
7) Satellite data formats and APIs for heat sensing and detection of
wildfires [51]

1. Reference implementations of algorithms
2. Opensource toolsets
3. 3 party applications, APIs, and SDKs
rd
4. Open data, collected from various crowd-sourced mechanisms
Developers and 5. Transfer learning mechanisms for wider applications
Opensource ecosys- 6. Opensource boards to host the edge data processing
tems 7. MQTT [56] and OM2M [22] applications
8. IoT gateways such as LoRa gateway and applications, SDKs, and
APIs
9. Cloud APIs for subscribing/publishing data from portals [49]
10. Satellite data usage in fire propagation model [51]

29