image-description

Image Description

Overview

This skill is for use in theses or journal papersillustrationsIt provides a standardized narrative approach, adopting the academic writing principle of "main text as the core, figures as supporting evidence": integrating the information shown in the figure into the argumentative chain as evidence supporting the argument, and keeping it consistent with the logic of the entire paper. The specific disciplinary topic (such as transportation, medicine, materials, etc.) is given by the user, and the skill does not assume a fixed topic.

Workflow

Figure Description Workflow

1. Research topic analysis: Understand the paper's research topic and core argument
2. Figure function positioning: Clarify the role and evidentiary purpose of the figure in the paper
3. Content extraction and integration: Extract key information from the figure and integrate it with the main text content
4. Narrative framework construction: Use the main text discussion as the main line, with figure information as support
5. Academic language polishing: Ensure the description conforms to academic norms and the paper's style

Image Types and Integration Patterns

1. Map-type figures

• Study area map: As supporting evidence for the research background, integrated into the regional overview narrative
• Spatial analysis/field quantity map: As empirical evidence for model or observation results, supporting conclusions about spatial distribution
• Route or scheme map: As a display of algorithm or decision results, verifying the effectiveness of the method
• Scheduling or network diagram: As a visualization of the optimization scheme, supporting strategy argumentation

2. Flowchart-type figures

• Algorithm flowchart: As an explanation of the algorithm design, integrated into the narrative of the algorithm principles
• Data processing flowchart: As a display of the data processing method, supporting the argument for data reliability
• Solution flowchart: As an explanation of the model-solving process, supporting the rationality of the solution method
• Validation flowchart: As a display of the experimental design, supporting the scientific validity of the validation method

3. Data chart-type figures

• Performance comparison chart: As empirical evidence for algorithm or model performance, supporting comparative arguments
• Optimization result chart: As a display of the optimization effect, verifying improvement in the objective function
• Sensitivity analysis chart: As an analysis of parameter influence, supporting the argument for model robustness
• Cost or resource chart: As a display of cost composition, supporting feasibility analysis

4. Conceptual diagram-type figures

• Model architecture diagram: As an explanation of the model design, integrated into the narrative of model construction
• System concept diagram: As a display of the system design, supporting the rationality of the system architecture
• Algorithm principle diagram: As an explanation of the algorithm principles, supporting the argument for the algorithm's innovative points
• Problem definition diagram: As a display of the problem boundary, supporting the rationality of the research scope

Academic Language Standards

Academic language norms

1. Main text as the primary focus: Take the paper's argument as the main thread, with image information as supporting evidence
2. Logical coherence: The description remains consistent with the overall logic of the paper and is naturally integrated into the narrative
3. Argument support: The image information directly supports the paper's argument and strengthens the persuasiveness of the discussion
4. Scientific accuracy: Use accurate academic terminology and avoid vague expressions
5. Concise and clear: Use concise language, highlight key points, and avoid redundant information
6. Objective and neutral: Maintain academic objectivity and avoid subjective evaluation
7. Standardized format: Comply with the image citation and description format of the degree thesis or target journal

Usage

How to use

When the user needs to describe an image in a paper, please follow the steps below:

1. Provide the research background: Briefly describe the research content and core argument of the section where the image is located
2. Explain the role of the image: Point out the supporting purpose and expected role of the image in the paper
3. Describe the image content: Provide an overview of the image type and main content
4. The skill will generate an academic description based on the above information, with the main text as the core and the image as supporting evidence

Examples

Example 1: Algorithm flowchart description (general)

To illustrate the optimization process proposed in this paper, Figure X-X presents the computational steps from input data to output results. The process first completes input validation and preprocessing, then updates the decision variables in the iterative stage until the convergence criterion is satisfied, and finally outputs the feasible solution and the corresponding indicators. This process is consistent with the formal description in Section X, making it easier for readers to understand the implementation order by referring to the algorithm pseudocode.

Example 2: Data chart description (general)

Figure X-X compares the differences between several baseline methods and the method in this paper on the main evaluation metrics. The horizontal axis is the experimental condition or instance number, and the vertical axis is the normalized objective value or error. It can be seen that under most settings, the method in this paper has a better mean and a smaller degree of dispersion than the comparison methods; the error bars (if given in the figure) indicate that the results have a certain degree of stability. This result echoes the theoretical analysis in Section X and provides empirical support for the subsequent discussion.

(Specific values, method names, and figure numbers should be replaced by the user according to the actual paper; do not fabricate them.)

Notes

Notes

1. Main text as the primary principle: Always take the paper's discussion as the main thread, and integrate image information into the narrative as supporting evidence
2. Argument support: Ensure that the image description directly supports the paper's argument and strengthens the persuasiveness of the discussion
3. Logical coherence: The description should remain consistent with the overall logic of the paper and be naturally integrated into the narrative flow
4. Accurate information: The image description should strictly correspond to the image content and avoid fabricated information
5. Highlight key points: For complex images, focus on describing the key information relevant to the paper's argument
6. Standardized format: Comply with the image citation format of the degree thesis or journal, including figure number, figure title, and description
7. Academic objectivity: Use the third person and standard terminology, and avoid subjective evaluation

Resources

This skill is a pure text processing skill and does not require additional scripts or resource files. All functions are based on the language capabilities of large language models, focusing on the academic processing and optimization of text content.