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KyeongminandClaude Opus 4.8 b836e79ee1 wip: phase_z2 evidence 파이프라인 + matching 실험(phase2~26) + 프론트 trace 패널 진행분 스냅샷
- src: phase_z2 composition/mapper/pipeline/placement_planner/retry, ai_fallback(prompts/schema/validate), mdx_text_atoms 신규
- Front: PipelineTracePanel 신규, FramePanel/SlideCanvas/Home/designAgentApi 등 갱신 + 테스트 4종 추가
- templates/phase_z2: catalog(component_expansion_registry, node_slot_mapping 신규), frames, families, slide_base 갱신
- tests/matching: phase2~26 매칭 실험 스크립트·리포트·온톨로지 전체 (미커밋 진행분)
- tests: b4_v4 evidence, task5~28.5 시리즈, regression(imp95 baseline) 등 신규 테스트 대량 추가
- docs/reference: MDX 구조 인벤토리, MDX→Frame 구조 계약 문서
- scripts: mdx 계약/parity/coverage/viewport 체크, gitea comment, run sync 유틸
- .gitignore: tmp*.json, chromedriver, .orchestrator, *.pkl, Front_test* 등 임시/스냅샷 제외

미완성 작업의 보존용 스냅샷 커밋 (2026-07-02)

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-02 17:03:42 +09:00

768 lines
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<!DOCTYPE html>
<html lang="ko">
<head>
<meta charset="UTF-8">
<title>MATRIX (기존 7섹션)</title>
<style>
body {
font-family: -apple-system, 'Segoe UI', 'Malgun Gothic', sans-serif;
max-width: 1800px;
margin: 0 auto;
padding: 24px;
line-height: 1.6;
color: #1e293b;
background: #f8fafc;
}
h1 { color: #1e293b; border-bottom: 3px solid #2563eb; padding-bottom: 12px; }
h2 {
color: #1a365d;
background: #e0e7ff;
padding: 10px 16px;
border-radius: 6px;
margin-top: 32px;
}
hr { border: none; border-top: 1px solid #cbd5e1; margin: 24px 0; }
table {
border-collapse: collapse;
width: 100%;
margin: 12px 0 24px;
background: #fff;
box-shadow: 0 2px 6px rgba(0,0,0,0.05);
}
th, td {
border: 1px solid #e2e8f0;
padding: 10px;
text-align: left;
vertical-align: top;
}
th {
background: #1e293b;
color: #fff;
font-weight: 700;
text-align: center;
width: 120px;
}
td:first-child {
background: #f1f5f9;
font-weight: 600;
text-align: center;
width: 120px;
}
td img {
max-width: 260px;
height: auto;
display: block;
margin: 0 auto 6px;
border: 1px solid #cbd5e1;
border-radius: 4px;
}
td br + strong { color: #2563eb; }
</style>
</head>
<body>
<h1>MDX ↔ Figma 매칭 매트릭스 (점수 포함)</h1>
<p>각 셀 형식: <code>프레임번호(점수)</code></p>
<ul>
<li>TF-IDF / Char-ngram / AI-Meta / Weighted / Structural: 0~100% (코사인 or Jaccard)</li>
<li>BM25 / Kiwi+BM25 / HardFilter: raw 점수 (상대 비교용, 절대값은 문서길이/어휘량에 따라 달라짐)</li>
</ul>
<h2>Top-1 (1순위)</h2>
<table>
<thead>
<tr>
<th>MDX 섹션</th>
<th>TF-IDF</th>
<th>BM25</th>
<th>Char-ngram</th>
<th>Kiwi+BM25</th>
<th>Structural</th>
<th>AI-Meta</th>
<th>Weighted</th>
<th>HardFilter</th>
</tr>
</thead>
<tbody>
<tr>
<td>MDX01-intro</td>
<td><strong>27</strong> (26%)</td>
<td><strong>20</strong> (17.5)</td>
<td><strong>29</strong> (4%)</td>
<td><strong>20</strong> (27.1)</td>
<td><strong>02</strong> (58%)</td>
<td><strong>20</strong> (20%)</td>
<td><strong>20</strong> (94%)</td>
<td><strong>20</strong> (17.2)</td>
</tr>
<tr>
<td>MDX01-1</td>
<td><strong>27</strong> (18%)</td>
<td><strong>29</strong> (18.7)</td>
<td><strong>29</strong> (6%)</td>
<td><strong>29</strong> (26.6)</td>
<td><strong>02</strong> (57%)</td>
<td><strong>27</strong> (21%)</td>
<td><strong>29</strong> (100%)</td>
<td><strong>29</strong> (18.7)</td>
</tr>
<tr>
<td>MDX01-2</td>
<td><strong>18</strong> (87%)</td>
<td><strong>18</strong> (148.7)</td>
<td><strong>18</strong> (40%)</td>
<td><strong>18</strong> (157.7)</td>
<td><strong>17</strong> (83%)</td>
<td><strong>18</strong> (100%)</td>
<td><strong>18</strong> (100%)</td>
<td><strong>18</strong> (148.7)</td>
</tr>
<tr>
<td>MDX02-1</td>
<td><strong>12</strong> (49%)</td>
<td><strong>12</strong> (37.8)</td>
<td><strong>12</strong> (18%)</td>
<td><strong>12</strong> (52.9)</td>
<td><strong>02</strong> (61%)</td>
<td><strong>12</strong> (37%)</td>
<td><strong>12</strong> (100%)</td>
<td><strong>12</strong> (37.6)</td>
</tr>
<tr>
<td>MDX02-2</td>
<td><strong>14</strong> (52%)</td>
<td><strong>14</strong> (95.5)</td>
<td><strong>14</strong> (17%)</td>
<td><strong>14</strong> (125.3)</td>
<td><strong>17</strong> (91%)</td>
<td><strong>14</strong> (42%)</td>
<td><strong>14</strong> (100%)</td>
<td><strong>14</strong> (95.5)</td>
</tr>
<tr>
<td>MDX03-1</td>
<td><strong>15</strong> (56%)</td>
<td><strong>15</strong> (64.4)</td>
<td><strong>15</strong> (21%)</td>
<td><strong>15</strong> (90.2)</td>
<td><strong>02</strong> (17%)</td>
<td><strong>13</strong> (73%)</td>
<td><strong>15</strong> (100%)</td>
<td><strong>07</strong> (8.6)</td>
</tr>
<tr>
<td>MDX03-2</td>
<td><strong>29</strong> (65%)</td>
<td><strong>29</strong> (89.6)</td>
<td><strong>29</strong> (29%)</td>
<td><strong>29</strong> (103.4)</td>
<td><strong>25</strong> (50%)</td>
<td><strong>29</strong> (69%)</td>
<td><strong>29</strong> (100%)</td>
<td><strong>30</strong> (14.9)</td>
</tr>
</tbody>
</table>
<h2>Top-3 (1/2/3순위)</h2>
<h3>MDX01-intro</h3>
<table>
<thead>
<tr>
<th>방법</th>
<th>1순위</th>
<th>2순위</th>
<th>3순위</th>
</tr>
</thead>
<tbody>
<tr>
<td>TF-IDF</td>
<td><strong>27</strong> (26%)</td>
<td><strong>20</strong> (25%)</td>
<td><strong>18</strong> (18%)</td>
</tr>
<tr>
<td>BM25</td>
<td><strong>20</strong> (17.5)</td>
<td><strong>27</strong> (12.9)</td>
<td><strong>18</strong> (10.7)</td>
</tr>
<tr>
<td>Char-ngram</td>
<td><strong>29</strong> (4%)</td>
<td><strong>27</strong> (4%)</td>
<td><strong>20</strong> (4%)</td>
</tr>
<tr>
<td>Kiwi+BM25</td>
<td><strong>20</strong> (27.1)</td>
<td><strong>27</strong> (23.7)</td>
<td><strong>18</strong> (22.1)</td>
</tr>
<tr>
<td>Structural</td>
<td><strong>02</strong> (58%)</td>
<td><strong>23</strong> (43%)</td>
<td><strong>24</strong> (43%)</td>
</tr>
<tr>
<td>AI-Meta</td>
<td><strong>20</strong> (20%)</td>
<td><strong>16</strong> (17%)</td>
<td><strong>18</strong> (15%)</td>
</tr>
<tr>
<td>Weighted</td>
<td><strong>20</strong> (94%)</td>
<td><strong>27</strong> (85%)</td>
<td><strong>29</strong> (71%)</td>
</tr>
<tr>
<td>HardFilter</td>
<td><strong>20</strong> (17.2)</td>
<td><strong>27</strong> (12.9)</td>
<td><strong>18</strong> (10.3)</td>
</tr>
</tbody>
</table>
<h3>MDX01-1</h3>
<table>
<thead>
<tr>
<th>방법</th>
<th>1순위</th>
<th>2순위</th>
<th>3순위</th>
</tr>
</thead>
<tbody>
<tr>
<td>TF-IDF</td>
<td><strong>27</strong> (18%)</td>
<td><strong>29</strong> (17%)</td>
<td><strong>08</strong> (13%)</td>
</tr>
<tr>
<td>BM25</td>
<td><strong>29</strong> (18.7)</td>
<td><strong>30</strong> (13.9)</td>
<td><strong>13</strong> (12.4)</td>
</tr>
<tr>
<td>Char-ngram</td>
<td><strong>29</strong> (6%)</td>
<td><strong>32</strong> (6%)</td>
<td><strong>12</strong> (5%)</td>
</tr>
<tr>
<td>Kiwi+BM25</td>
<td><strong>29</strong> (26.6)</td>
<td><strong>15</strong> (25.0)</td>
<td><strong>32</strong> (24.7)</td>
</tr>
<tr>
<td>Structural</td>
<td><strong>02</strong> (57%)</td>
<td><strong>23</strong> (52%)</td>
<td><strong>24</strong> (52%)</td>
</tr>
<tr>
<td>AI-Meta</td>
<td><strong>27</strong> (21%)</td>
<td><strong>20</strong> (19%)</td>
<td><strong>29</strong> (17%)</td>
</tr>
<tr>
<td>Weighted</td>
<td><strong>29</strong> (100%)</td>
<td><strong>32</strong> (73%)</td>
<td><strong>30</strong> (71%)</td>
</tr>
<tr>
<td>HardFilter</td>
<td><strong>29</strong> (18.7)</td>
<td><strong>30</strong> (13.9)</td>
<td><strong>13</strong> (12.4)</td>
</tr>
</tbody>
</table>
<h3>MDX01-2</h3>
<table>
<thead>
<tr>
<th>방법</th>
<th>1순위</th>
<th>2순위</th>
<th>3순위</th>
</tr>
</thead>
<tbody>
<tr>
<td>TF-IDF</td>
<td><strong>18</strong> (87%)</td>
<td><strong>29</strong> (15%)</td>
<td><strong>16</strong> (14%)</td>
</tr>
<tr>
<td>BM25</td>
<td><strong>18</strong> (148.7)</td>
<td><strong>29</strong> (27.4)</td>
<td><strong>16</strong> (23.2)</td>
</tr>
<tr>
<td>Char-ngram</td>
<td><strong>18</strong> (40%)</td>
<td><strong>29</strong> (6%)</td>
<td><strong>30</strong> (5%)</td>
</tr>
<tr>
<td>Kiwi+BM25</td>
<td><strong>18</strong> (157.7)</td>
<td><strong>16</strong> (64.5)</td>
<td><strong>29</strong> (56.8)</td>
</tr>
<tr>
<td>Structural</td>
<td><strong>17</strong> (83%)</td>
<td><strong>20</strong> (83%)</td>
<td><strong>04</strong> (65%)</td>
</tr>
<tr>
<td>AI-Meta</td>
<td><strong>18</strong> (100%)</td>
<td><strong>20</strong> (20%)</td>
<td><strong>04</strong> (18%)</td>
</tr>
<tr>
<td>Weighted</td>
<td><strong>18</strong> (100%)</td>
<td><strong>29</strong> (15%)</td>
<td><strong>30</strong> (13%)</td>
</tr>
<tr>
<td>HardFilter</td>
<td><strong>18</strong> (148.7)</td>
<td><strong>29</strong> (27.4)</td>
<td><strong>16</strong> (23.2)</td>
</tr>
</tbody>
</table>
<h3>MDX02-1</h3>
<table>
<thead>
<tr>
<th>방법</th>
<th>1순위</th>
<th>2순위</th>
<th>3순위</th>
</tr>
</thead>
<tbody>
<tr>
<td>TF-IDF</td>
<td><strong>12</strong> (49%)</td>
<td><strong>14</strong> (38%)</td>
<td><strong>29</strong> (20%)</td>
</tr>
<tr>
<td>BM25</td>
<td><strong>12</strong> (37.8)</td>
<td><strong>14</strong> (25.2)</td>
<td><strong>29</strong> (19.0)</td>
</tr>
<tr>
<td>Char-ngram</td>
<td><strong>12</strong> (18%)</td>
<td><strong>29</strong> (7%)</td>
<td><strong>14</strong> (7%)</td>
</tr>
<tr>
<td>Kiwi+BM25</td>
<td><strong>12</strong> (52.9)</td>
<td><strong>14</strong> (35.1)</td>
<td><strong>29</strong> (26.8)</td>
</tr>
<tr>
<td>Structural</td>
<td><strong>02</strong> (61%)</td>
<td><strong>23</strong> (56%)</td>
<td><strong>24</strong> (56%)</td>
</tr>
<tr>
<td>AI-Meta</td>
<td><strong>12</strong> (37%)</td>
<td><strong>15</strong> (17%)</td>
<td><strong>08</strong> (13%)</td>
</tr>
<tr>
<td>Weighted</td>
<td><strong>12</strong> (100%)</td>
<td><strong>14</strong> (51%)</td>
<td><strong>29</strong> (44%)</td>
</tr>
<tr>
<td>HardFilter</td>
<td><strong>12</strong> (37.6)</td>
<td><strong>14</strong> (24.9)</td>
<td><strong>29</strong> (18.8)</td>
</tr>
</tbody>
</table>
<h3>MDX02-2</h3>
<table>
<thead>
<tr>
<th>방법</th>
<th>1순위</th>
<th>2순위</th>
<th>3순위</th>
</tr>
</thead>
<tbody>
<tr>
<td>TF-IDF</td>
<td><strong>14</strong> (52%)</td>
<td><strong>12</strong> (32%)</td>
<td><strong>29</strong> (23%)</td>
</tr>
<tr>
<td>BM25</td>
<td><strong>14</strong> (95.5)</td>
<td><strong>12</strong> (56.8)</td>
<td><strong>29</strong> (52.9)</td>
</tr>
<tr>
<td>Char-ngram</td>
<td><strong>14</strong> (17%)</td>
<td><strong>29</strong> (7%)</td>
<td><strong>12</strong> (7%)</td>
</tr>
<tr>
<td>Kiwi+BM25</td>
<td><strong>14</strong> (125.3)</td>
<td><strong>29</strong> (83.6)</td>
<td><strong>12</strong> (80.2)</td>
</tr>
<tr>
<td>Structural</td>
<td><strong>17</strong> (91%)</td>
<td><strong>20</strong> (75%)</td>
<td><strong>06</strong> (66%)</td>
</tr>
<tr>
<td>AI-Meta</td>
<td><strong>14</strong> (42%)</td>
<td><strong>03</strong> (13%)</td>
<td><strong>06</strong> (13%)</td>
</tr>
<tr>
<td>Weighted</td>
<td><strong>14</strong> (100%)</td>
<td><strong>12</strong> (48%)</td>
<td><strong>29</strong> (47%)</td>
</tr>
<tr>
<td>HardFilter</td>
<td><strong>14</strong> (95.5)</td>
<td><strong>12</strong> (56.8)</td>
<td><strong>29</strong> (52.9)</td>
</tr>
</tbody>
</table>
<h3>MDX03-1</h3>
<table>
<thead>
<tr>
<th>방법</th>
<th>1순위</th>
<th>2순위</th>
<th>3순위</th>
</tr>
</thead>
<tbody>
<tr>
<td>TF-IDF</td>
<td><strong>15</strong> (56%)</td>
<td><strong>13</strong> (30%)</td>
<td><strong>20</strong> (17%)</td>
</tr>
<tr>
<td>BM25</td>
<td><strong>15</strong> (64.4)</td>
<td><strong>13</strong> (36.5)</td>
<td><strong>20</strong> (20.8)</td>
</tr>
<tr>
<td>Char-ngram</td>
<td><strong>15</strong> (21%)</td>
<td><strong>13</strong> (9%)</td>
<td><strong>29</strong> (5%)</td>
</tr>
<tr>
<td>Kiwi+BM25</td>
<td><strong>15</strong> (90.2)</td>
<td><strong>13</strong> (45.3)</td>
<td><strong>16</strong> (31.2)</td>
</tr>
<tr>
<td>Structural</td>
<td><strong>02</strong> (17%)</td>
<td><strong>04</strong> (16%)</td>
<td><strong>08</strong> (16%)</td>
</tr>
<tr>
<td>AI-Meta</td>
<td><strong>13</strong> (73%)</td>
<td><strong>27</strong> (18%)</td>
<td><strong>20</strong> (13%)</td>
</tr>
<tr>
<td>Weighted</td>
<td><strong>15</strong> (100%)</td>
<td><strong>13</strong> (49%)</td>
<td><strong>20</strong> (24%)</td>
</tr>
<tr>
<td>HardFilter</td>
<td><strong>07</strong> (8.6)</td>
<td><strong>03</strong> (6.3)</td>
<td><strong>19</strong> (5.5)</td>
</tr>
</tbody>
</table>
<h3>MDX03-2</h3>
<table>
<thead>
<tr>
<th>방법</th>
<th>1순위</th>
<th>2순위</th>
<th>3순위</th>
</tr>
</thead>
<tbody>
<tr>
<td>TF-IDF</td>
<td><strong>29</strong> (65%)</td>
<td><strong>12</strong> (19%)</td>
<td><strong>09</strong> (14%)</td>
</tr>
<tr>
<td>BM25</td>
<td><strong>29</strong> (89.6)</td>
<td><strong>12</strong> (28.4)</td>
<td><strong>30</strong> (16.3)</td>
</tr>
<tr>
<td>Char-ngram</td>
<td><strong>29</strong> (29%)</td>
<td><strong>12</strong> (8%)</td>
<td><strong>15</strong> (5%)</td>
</tr>
<tr>
<td>Kiwi+BM25</td>
<td><strong>29</strong> (103.4)</td>
<td><strong>12</strong> (39.5)</td>
<td><strong>07</strong> (33.8)</td>
</tr>
<tr>
<td>Structural</td>
<td><strong>25</strong> (50%)</td>
<td><strong>26</strong> (50%)</td>
<td><strong>02</strong> (46%)</td>
</tr>
<tr>
<td>AI-Meta</td>
<td><strong>29</strong> (69%)</td>
<td><strong>09</strong> (16%)</td>
<td><strong>21</strong> (16%)</td>
</tr>
<tr>
<td>Weighted</td>
<td><strong>29</strong> (100%)</td>
<td><strong>12</strong> (29%)</td>
<td><strong>15</strong> (16%)</td>
</tr>
<tr>
<td>HardFilter</td>
<td><strong>30</strong> (14.9)</td>
<td><strong>18</strong> (14.6)</td>
<td><strong>17</strong> (10.9)</td>
</tr>
</tbody>
</table>
<h2>프레임 번호 참고</h2>
<table>
<thead>
<tr>
<th>#</th>
<th>제목</th>
<th>미리보기</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>01</strong></td>
<td><em>(제목 없음)</em></td>
<td><img alt="01" src="../../data/figma_previews/01.png" /></td>
</tr>
<tr>
<td><strong>02</strong></td>
<td>Engineering S/W 개발</td>
<td><img alt="02" src="../../data/figma_previews/02.png" /></td>
</tr>
<tr>
<td><strong>03</strong></td>
<td>국외</td>
<td><img alt="03" src="../../data/figma_previews/03.png" /></td>
</tr>
<tr>
<td><strong>04</strong></td>
<td>국내</td>
<td><img alt="04" src="../../data/figma_previews/04.png" /></td>
</tr>
<tr>
<td><strong>05</strong></td>
<td>보상현황·민원 관리</td>
<td><img alt="05" src="../../data/figma_previews/05.png" /></td>
</tr>
<tr>
<td><strong>06</strong></td>
<td>시공단계 토지 및 지장물에 대한 보상 현황과 다양한 민원 관리 업무 지원</td>
<td><img alt="06" src="../../data/figma_previews/06.png" /></td>
</tr>
<tr>
<td><strong>07</strong></td>
<td><em>(제목 없음)</em></td>
<td><img alt="07" src="../../data/figma_previews/07.png" /></td>
</tr>
<tr>
<td><strong>08</strong></td>
<td>효율적인 정보의 관리와 활용</td>
<td><img alt="08" src="../../data/figma_previews/08.png" /></td>
</tr>
<tr>
<td><strong>09</strong></td>
<td>시공 전 모델 기반 시공상세 정보물 이용한 시공계획 작성 지원</td>
<td><img alt="09" src="../../data/figma_previews/09.png" /></td>
</tr>
<tr>
<td><strong>10</strong></td>
<td>현장 실효성 증대 위한 <strong>기본사항</strong></td>
<td><img alt="10" src="../../data/figma_previews/10.png" /></td>
</tr>
<tr>
<td><strong>11</strong></td>
<td>시공단계 BIM 모델과 정보 활용 구분</td>
<td><img alt="11" src="../../data/figma_previews/11.png" /></td>
</tr>
<tr>
<td><strong>12</strong></td>
<td>건설산업의 목표 (BIM의 목적)</td>
<td><img alt="12" src="../../data/figma_previews/12.png" /></td>
</tr>
<tr>
<td><strong>13</strong></td>
<td>필수조건</td>
<td><img alt="13" src="../../data/figma_previews/13.png" /></td>
</tr>
<tr>
<td><strong>14</strong></td>
<td><em>(제목 없음)</em></td>
<td><img alt="14" src="../../data/figma_previews/14.png" /></td>
</tr>
<tr>
<td><strong>15</strong></td>
<td>정책목표</td>
<td><img alt="15" src="../../data/figma_previews/15.png" /></td>
</tr>
<tr>
<td><strong>16</strong></td>
<td><em>(제목 없음)</em></td>
<td><img alt="16" src="../../data/figma_previews/16.png" /></td>
</tr>
<tr>
<td><strong>17</strong></td>
<td>현황 및 문제점</td>
<td><img alt="17" src="../../data/figma_previews/17.png" /></td>
</tr>
<tr>
<td><strong>18</strong></td>
<td>BIM과 DX의 이해</td>
<td><img alt="18" src="../../data/figma_previews/18.png" /></td>
</tr>
<tr>
<td><strong>19</strong></td>
<td><strong>설계방식의 왜곡</strong>은 엔지니어를 <strong>기능인</strong>으로 전락시킨다.</td>
<td><img alt="19" src="../../data/figma_previews/19.png" /></td>
</tr>
<tr>
<td><strong>20</strong></td>
<td>디지털 전환(DX)은 S/W가 필수다.</td>
<td><img alt="20" src="../../data/figma_previews/20.png" /></td>
</tr>
<tr>
<td><strong>21</strong></td>
<td>Solution Engn. S/W</td>
<td><img alt="21" src="../../data/figma_previews/21.png" /></td>
</tr>
<tr>
<td><strong>22</strong></td>
<td>Model에 특화된 Engn. S/W</td>
<td><img alt="22" src="../../data/figma_previews/22.png" /></td>
</tr>
<tr>
<td><strong>23</strong></td>
<td>Application S/W 의 구분</td>
<td><img alt="23" src="../../data/figma_previews/23.png" /></td>
</tr>
<tr>
<td><strong>24</strong></td>
<td>Engn. S/W의 구성 과 특징</td>
<td><img alt="24" src="../../data/figma_previews/24.png" /></td>
</tr>
<tr>
<td><strong>25</strong></td>
<td>3rd Party</td>
<td><img alt="25" src="../../data/figma_previews/25.png" /></td>
</tr>
<tr>
<td><strong>26</strong></td>
<td><em>(제목 없음)</em></td>
<td><img alt="26" src="../../data/figma_previews/26.png" /></td>
</tr>
<tr>
<td><strong>27</strong></td>
<td><em>(제목 없음)</em></td>
<td><img alt="27" src="../../data/figma_previews/27.png" /></td>
</tr>
<tr>
<td><strong>28</strong></td>
<td>현존 상용 S/W의 현실</td>
<td><img alt="28" src="../../data/figma_previews/28.png" /></td>
</tr>
<tr>
<td><strong>29</strong></td>
<td>좌측 배너 과정 (Process)의 혁신 우측 배너 결과 (Products)의 혁신</td>
<td><img alt="29" src="../../data/figma_previews/29.png" /></td>
</tr>
<tr>
<td><strong>30</strong></td>
<td>산업별 현황</td>
<td><img alt="30" src="../../data/figma_previews/30.png" /></td>
</tr>
<tr>
<td><strong>31</strong></td>
<td>산업별 특성 과 발전방향</td>
<td><img alt="31" src="../../data/figma_previews/31.png" /></td>
</tr>
<tr>
<td><strong>32</strong></td>
<td>좌측 Engn. Solution 우측 DfMA</td>
<td><img alt="32" src="../../data/figma_previews/32.png" /></td>
</tr>
</tbody>
</table>
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