Display Control Apparatus for Optimal Content Area Assignment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing display control systems for vehicles lack an optimal method to combine content and area assignments, often resulting in suboptimal combinations due to prioritization techniques that do not consider the overall suitability of content and area matches.
Innovation Solution
A display control apparatus that includes a content managing unit, an area managing unit, and a content assignment control unit, which generates lists of content and area combinations, calculates evaluation reference values based on content and area information, and selects the most appropriate combination for display, ensuring optimal content and area pairing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If priority assignment method is used to assign content to display areas, then the assignment process is simple and fast, but the overall combination optimality is reduced
Solution Approach 1:
The system pre-calculates and stores evaluation values for all possible content-area combinations before actual assignment occurs. This preliminary evaluation enables rapid selection of optimal combinations during runtime without compromising assignment speed, as the computationally intensive evaluation work is performed in advance.
Solution Approach 2:
The system dynamically adjusts the assignment strategy based on the number of contents and areas. When the number of contents exceeds the number of areas, it uses comprehensive evaluation of all combinations. When areas exceed contents, it can use simpler methods, thus maintaining efficiency while ensuring optimality when needed.
2Manufacturing precision
If all content-area combinations are evaluated comprehensively, then the combination optimality is improved, but the computational complexity and processing time increase
Solution Approach 1:
Evaluation values for all possible content-area combinations are pre-calculated and stored in memory before the actual assignment process. This eliminates the need for real-time computation of all combinations, reducing processing complexity while maintaining comprehensive evaluation benefits.
Solution Approach 2:
The system changes the state of evaluation data from uncomputed to pre-computed, transforming the problem from real-time complex calculation to efficient data retrieval and comparison. This parameter change in computation timing resolves the contradiction between comprehensiveness and complexity.
3Speed
If priority order assignment is used, then processing speed is maintained, but suboptimal combinations occur when priority conflicts arise
Solution Approach 1:
All possible assignments are pre-evaluated and ranked by optimality before assignment occurs. This allows the system to quickly select the best combination without real-time computation, maintaining high speed while ensuring reliability through comprehensive prior evaluation.
Solution Approach 2:
The system uses pre-calculated evaluation values as feedback to guide the assignment process, continuously selecting combinations with the highest evaluation scores. This feedback mechanism ensures that assignments are both fast and reliable, as each selection is guided by pre-analyzed optimality criteria.
Data Source
AI summary
A display control apparatus for controlling a display device including a screen having a plurality of areas so as to assign and display a content on a corresponding area, includes: a content managing unit managing the content by associating content information; an area managing unit managing the area by associating area information; and a content assignment control unit determining a combination of the content and the area. The content assignment control unit generates a content list, generates an area list, extracts a combination list based on the area list and the content list, calculates an evaluation reference value of each combination list based on the content information and the area information, selects the combination list based on the evaluation reference value of each combination list, and determines a combination.


