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Steve Chan

Artificial Intelligence,
Machine Learning,
Numerical Algorithms,
Numerical Methods,
Hyper-Heuristics,
Metaheuristics,
Data Analytics,
Information Science,
Decision Science

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Derivative Experimentation Prompts for Anomaly Generation (AG)

So that reviewers and readers can reproduce the results for this IEEE paper, please find the various "Derivative Experimentation Prompts for Anomaly Generation (AG)" below (rather than in the paper). They are numbered AG #18 through AG #23.

AG #18

(as referenced in Section IIIC. Experimentation)

Prospective Value-added Proposition: Explicit Editing Framing, Reference Image/Scene Anchoring, Copy-Edit Framing, Pixel Preservation, Size Constraints


This is an image editing task. Use the provided image as the fixed reference scene.

 

Reproduce the image so that the scene remains visually identical. Preserve object positions, geometry, textures, materials, lighting, shadows, reflections, and camera perspective.

 

Preserve at least 99.5% of the original image pixels.

 

Apply a copy-edit operation: duplicate the original image and introduce only one extremely small localized modification.

 

Select a tiny region on an existing wire or connector (≤1–2% of the total image area). All pixels outside this region must remain unchanged.

 

Inside this region insert exactly one subtle, physically realistic wiring anomaly representing early-stage degradation, such as: slight insulation abrasion, a single exposed conductor strand, a small insulation crack, faint overheating discoloration, or a slightly loosened connector strand.

 

The anomaly must be visible only upon close inspection and must not alter surrounding textures or scene composition.

 

Strict constraints:

- Do not add or remove objects.

- Do not move or resize objects.

- Do not modify textures or materials outside the edit region.

- Do not change lighting, shadows, reflections, or perspective.

 

If any unintended scene changes occur, revert them and reduce the anomaly size further.

 

AG #19

(as referenced in Section IIIC. Experimentation)

Prospective Value-added Proposition: Multi-step, Reference Image/Scene Anchoring & Scene Lock (i.e., Pre-Edit Reconstruction and Reference Locking), Verification


This is a controlled image editing task for anomaly generation.

 

Step 1 — Scene reconstruction
Recreate the input image so the scene is visually identical. Preserve object placement, geometry, textures, materials, lighting, shadows, reflections, and camera perspective exactly.

 

Step 2 — Reference lock
Treat the reconstructed image as the fixed reference scene. Do not modify any part of the image unless explicitly allowed.

 

Step 3 — Local edit definition
Define a tiny edit region on an existing wire or connector, covering no more than 1–2% of the total image area.

 

Step 4 — Anomaly insertion
Inside this region introduce exactly one subtle, realistic wiring anomaly representing early-stage degradation. Choose randomly from: slight insulation abrasion, a single exposed conductor strand, a small insulation crack, faint overheating discoloration, or minor connector looseness.

 

Step 5 — Preservation constraints
All pixels outside the edit region must remain identical to the reference image.
Do not add or remove objects.
Do not move or resize objects.
Do not alter textures, materials, lighting, shadows, reflections, or perspective.

 

Step 6 — Subtlety requirement
The anomaly must appear natural and should only become noticeable upon close inspection.

 

Step 7 — Verification
Confirm that at least 99–99.5% of the image pixels remain unchanged and that no scene elements outside the edit region were modified.

 

AG #20

(as referenced in Section IIIC. Experimentation)

Prospective Value-added Proposition: Front-loaded constraints in a Hierarchical Instruction Ordering fashion: Explicit Editing Framing, Scene Lock, and Copy-Edit Framing; Postpended Strategic Repetition


This is an image editing task. Use the input image as the fixed reference scene.

 

Reproduce the image so the scene remains visually identical. Preserve all objects, textures, materials, lighting, shadows, and perspective.

 

Apply a copy-edit: make only one extremely small localized modification.

 

Modify only a tiny region on an existing wire or connector (≤1–2% of the image). All pixels outside this region must remain unchanged.

 

Inside this region introduce exactly one subtle early-stage wiring anomaly (e.g., minor insulation abrasion, single exposed strand, small insulation crack, faint overheating discoloration, or slight connector looseness).

 

Do not add or remove objects or change textures, lighting, or geometry. Preserve at least 99–99.5% of the image pixels.

 

If any unintended scene changes occur, revert them and reduce the anomaly size.

 

 

AG #21

(as referenced in Section IIIC. Experimentation)

Prospective Value-added Proposition: Multi-Step/Multi-Layered; Front-loaded constraints in a Hierarchical Instruction Ordering fashion; Validation/Self-Correction


Layer 1 — Task & Scene Layer
This is an image editing task. Use the input image as the fixed reference scene. Reproduce the scene exactly, preserving all objects, textures, materials, lighting, shadows, and camera perspective. Do not change geometry, move objects, or alter the scene outside the edit.

 

Layer 2 — Edit Method Layer
Perform a copy-edit operation: duplicate the image and apply only a very small localized modification. Define a tiny edit region on an existing wire or connector (≤1–2% of the image). Pixels outside this region must remain unchanged.

 

Layer 3 — Edit Content Layer
Inside the edit region, introduce exactly one subtle, physically realistic early-stage wiring anomaly. Randomly select from: minor insulation abrasion, single exposed conductor strand, small insulation crack, faint overheating discoloration, or minor connector looseness. Ensure the anomaly is noticeable only upon close inspection. If any unintended scene changes occur, revert them and reduce the anomaly size.

 

AG #22

(as referenced in Section IIIC. Experimentation)

Prospective Value-added Proposition: Explicit Editing Framing & Copy-Edit Framing; Leverages diffusion-model quantitative inclinations.


This is an image editing task. Use the input as the fixed reference scene. Preserve all objects, textures, lighting, shadows, and perspective.

 

Copy the image and apply only one very small localized modification. Limit edits to a tiny region on an existing wire or connector (≤1–2% of the image).

 

Inside this region, insert exactly one subtle early-stage wiring anomaly (minor insulation abrasion, single exposed strand, small insulation crack, faint overheating discoloration, or slight connector looseness). Pixels outside must remain unchanged. Revert any unintended changes.

 

AG #23

(as referenced in Section IIIC. Experimentation)

Prospective Value-added Proposition: Explicit Editing Framing, Copy-Edit Framing, Explicit Edit Region; Validation/Self-Correction


Layer 1 — Task & Scene (Freeze Scene)
This is an image editing task. Use the input image as the fixed reference scene. Preserve all objects, textures, materials, lighting, shadows, and perspective. Do not move, resize, or remove any objects.

 

Layer 2 — Edit Method (Micro-Edit)
Copy the image and apply only one very small localized modification. Define a tiny edit region on an existing wire or connector (≤1–2% of the total image). Pixels outside this region must remain unchanged.

 

Layer 3 — Edit Content (Anomaly Definition)
Inside the edit region, insert exactly one subtle early-stage wiring anomaly. Randomly select from:

- Minor insulation abrasion.

- Single exposed conductor strand.

- Small insulation crack.

- Faint overheating discoloration.

- Slight connector looseness

 

Randomize the position within the selected wire or connector segment. The anomaly must appear natural and only noticeable upon close inspection. Revert any unintended changes outside the edit region.

 

Batch Instructions:

- For each input image, randomize anomaly type and micro-edit location.

- Maintain scene fidelity for all other pixels.

- Ensure ≥99% of the image remains unchanged.

 

Repeat for the desired number of synthetic samples.