IVOD_ID |
158907 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/158907 |
日期 |
2025-01-16 |
會議資料.會議代碼 |
委員會-11-2-35-27 |
會議資料.會議代碼:str |
第11屆第2會期外交及國防委員會第27次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
2 |
會議資料.會次 |
27 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
35 |
會議資料.委員會代碼:str[0] |
外交及國防委員會 |
會議資料.標題 |
第11屆第2會期外交及國防委員會第27次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-01-16T10:25:49+08:00 |
結束時間 |
2025-01-16T10:35:52+08:00 |
影片長度 |
00:10:03 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/e6909b4ca57c0612608e110a4eb8ee6b29ae781c7e1649b4e1c9837952b46cc31aa97a5015985c895ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
鍾佳濱 |
委員發言時間 |
10:25:49 - 10:35:52 |
會議時間 |
2025-01-16T09:00:00+08:00 |
會議名稱 |
立法院第11屆第2會期外交及國防委員會第27次全體委員會議(事由:邀請國家安全局局長、國防部部長、大陸委員會、國家通訊傳播委員會、交通部、經濟部、數位發展部、海洋委員會海巡署報告「針對海底電纜係國家對外重要通訊手段,為避免中共利用各種灰色地帶手段測試我國網路及電網韌性情事發生,如何建立有效備援系統以支援軍事作戰並支撐基礎建設防護韌性」,並備質詢。) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
0.03096875 |
transcript.pyannote[0].end |
0.45284375 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
0.75659375 |
transcript.pyannote[1].end |
3.91221875 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
4.19909375 |
transcript.pyannote[2].end |
10.44284375 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
10.71284375 |
transcript.pyannote[3].end |
17.34471875 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
17.61471875 |
transcript.pyannote[4].end |
21.24284375 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
21.46221875 |
transcript.pyannote[5].end |
24.51659375 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
26.40659375 |
transcript.pyannote[6].end |
26.82846875 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
26.94659375 |
transcript.pyannote[7].end |
28.02659375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
28.63409375 |
transcript.pyannote[8].end |
30.50721875 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
30.69284375 |
transcript.pyannote[9].end |
31.03034375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
31.63784375 |
transcript.pyannote[10].end |
42.57284375 |
transcript.pyannote[11].speaker |
SPEAKER_02 |
transcript.pyannote[11].start |
31.82346875 |
transcript.pyannote[11].end |
31.89096875 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
43.39971875 |
transcript.pyannote[12].end |
55.73534375 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
57.72659375 |
transcript.pyannote[13].end |
59.56596875 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
60.62909375 |
transcript.pyannote[14].end |
61.45596875 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
61.91159375 |
transcript.pyannote[15].end |
62.85659375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
63.80159375 |
transcript.pyannote[16].end |
64.76346875 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
65.82659375 |
transcript.pyannote[17].end |
70.18034375 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
72.52596875 |
transcript.pyannote[18].end |
74.98971875 |
transcript.pyannote[19].speaker |
SPEAKER_02 |
transcript.pyannote[19].start |
75.27659375 |
transcript.pyannote[19].end |
76.03596875 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
76.15409375 |
transcript.pyannote[20].end |
82.70159375 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
83.24159375 |
transcript.pyannote[21].end |
90.59909375 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
90.98721875 |
transcript.pyannote[22].end |
95.96534375 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
96.13409375 |
transcript.pyannote[23].end |
99.18846875 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
99.30659375 |
transcript.pyannote[24].end |
108.03096875 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
107.98034375 |
transcript.pyannote[25].end |
108.33471875 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
108.33471875 |
transcript.pyannote[26].end |
109.95471875 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
110.22471875 |
transcript.pyannote[27].end |
114.24096875 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
114.98346875 |
transcript.pyannote[28].end |
119.52284375 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
115.96221875 |
transcript.pyannote[29].end |
116.51909375 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
119.26971875 |
transcript.pyannote[30].end |
121.90221875 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
122.10471875 |
transcript.pyannote[31].end |
122.89784375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
123.04971875 |
transcript.pyannote[32].end |
137.03909375 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
137.57909375 |
transcript.pyannote[33].end |
142.45596875 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
142.55721875 |
transcript.pyannote[34].end |
143.68784375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
145.08846875 |
transcript.pyannote[35].end |
147.40034375 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
146.77596875 |
transcript.pyannote[36].end |
147.34971875 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
147.40034375 |
transcript.pyannote[37].end |
147.55221875 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
147.55221875 |
transcript.pyannote[38].end |
148.39596875 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
149.91471875 |
transcript.pyannote[39].end |
150.75846875 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
149.94846875 |
transcript.pyannote[40].end |
153.77909375 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
151.18034375 |
transcript.pyannote[41].end |
151.65284375 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
153.35721875 |
transcript.pyannote[42].end |
159.70221875 |
transcript.pyannote[43].speaker |
SPEAKER_02 |
transcript.pyannote[43].start |
160.29284375 |
transcript.pyannote[43].end |
166.09784375 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
166.09784375 |
transcript.pyannote[44].end |
166.72221875 |
transcript.pyannote[45].speaker |
SPEAKER_02 |
transcript.pyannote[45].start |
166.72221875 |
transcript.pyannote[45].end |
166.78971875 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
166.78971875 |
transcript.pyannote[46].end |
166.80659375 |
transcript.pyannote[47].speaker |
SPEAKER_02 |
transcript.pyannote[47].start |
166.80659375 |
transcript.pyannote[47].end |
166.82346875 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
166.82346875 |
transcript.pyannote[48].end |
166.84034375 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
166.97534375 |
transcript.pyannote[49].end |
167.04284375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
167.07659375 |
transcript.pyannote[50].end |
167.09346875 |
transcript.pyannote[51].speaker |
SPEAKER_02 |
transcript.pyannote[51].start |
167.09346875 |
transcript.pyannote[51].end |
167.12721875 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
167.12721875 |
transcript.pyannote[52].end |
174.06284375 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
174.51846875 |
transcript.pyannote[53].end |
182.09534375 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
182.41596875 |
transcript.pyannote[54].end |
191.64659375 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
192.08534375 |
transcript.pyannote[55].end |
195.10596875 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
195.56159375 |
transcript.pyannote[56].end |
198.05909375 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
198.70034375 |
transcript.pyannote[57].end |
207.76221875 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
207.93096875 |
transcript.pyannote[58].end |
209.09534375 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
209.04471875 |
transcript.pyannote[59].end |
209.06159375 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
209.09534375 |
transcript.pyannote[60].end |
209.38221875 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
209.29784375 |
transcript.pyannote[61].end |
213.26346875 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
213.26346875 |
transcript.pyannote[62].end |
213.31409375 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
213.31409375 |
transcript.pyannote[63].end |
213.33096875 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
213.33096875 |
transcript.pyannote[64].end |
213.34784375 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
213.34784375 |
transcript.pyannote[65].end |
213.41534375 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
213.41534375 |
transcript.pyannote[66].end |
226.84784375 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
215.96346875 |
transcript.pyannote[67].end |
216.63846875 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
226.07159375 |
transcript.pyannote[68].end |
226.42596875 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
226.56096875 |
transcript.pyannote[69].end |
236.36534375 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
236.75346875 |
transcript.pyannote[70].end |
238.03596875 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
238.66034375 |
transcript.pyannote[71].end |
240.33096875 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
240.65159375 |
transcript.pyannote[72].end |
244.65096875 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
245.22471875 |
transcript.pyannote[73].end |
249.07221875 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
249.91596875 |
transcript.pyannote[74].end |
251.09721875 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
251.60346875 |
transcript.pyannote[75].end |
261.89721875 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
262.53846875 |
transcript.pyannote[76].end |
263.02784375 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
264.14159375 |
transcript.pyannote[77].end |
265.06971875 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
265.45784375 |
transcript.pyannote[78].end |
267.49971875 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
267.73596875 |
transcript.pyannote[79].end |
268.76534375 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
268.81596875 |
transcript.pyannote[80].end |
271.33034375 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
271.68471875 |
transcript.pyannote[81].end |
273.06846875 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
273.62534375 |
transcript.pyannote[82].end |
274.08096875 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
274.67159375 |
transcript.pyannote[83].end |
283.56471875 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
281.01659375 |
transcript.pyannote[84].end |
282.75471875 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
283.26096875 |
transcript.pyannote[85].end |
287.07471875 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
287.63159375 |
transcript.pyannote[86].end |
290.01096875 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
290.48346875 |
transcript.pyannote[87].end |
293.01471875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
293.60534375 |
transcript.pyannote[88].end |
297.14909375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
297.84096875 |
transcript.pyannote[89].end |
299.54534375 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
300.03471875 |
transcript.pyannote[90].end |
305.04659375 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
305.70471875 |
transcript.pyannote[91].end |
308.35409375 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
308.79284375 |
transcript.pyannote[92].end |
309.92346875 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
310.69971875 |
transcript.pyannote[93].end |
312.47159375 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
313.04534375 |
transcript.pyannote[94].end |
314.86784375 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
315.22221875 |
transcript.pyannote[95].end |
323.28846875 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
324.19971875 |
transcript.pyannote[96].end |
324.67221875 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
324.90846875 |
transcript.pyannote[97].end |
325.19534375 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
325.93784375 |
transcript.pyannote[98].end |
326.52846875 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
327.01784375 |
transcript.pyannote[99].end |
330.56159375 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
331.45596875 |
transcript.pyannote[100].end |
334.05471875 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
334.84784375 |
transcript.pyannote[101].end |
335.38784375 |
transcript.pyannote[102].speaker |
SPEAKER_03 |
transcript.pyannote[102].start |
335.38784375 |
transcript.pyannote[102].end |
335.42159375 |
transcript.pyannote[103].speaker |
SPEAKER_03 |
transcript.pyannote[103].start |
335.79284375 |
transcript.pyannote[103].end |
343.42034375 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
338.66159375 |
transcript.pyannote[104].end |
340.58534375 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
343.01534375 |
transcript.pyannote[105].end |
348.80346875 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
349.29284375 |
transcript.pyannote[106].end |
355.45221875 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
355.97534375 |
transcript.pyannote[107].end |
362.65784375 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
363.09659375 |
transcript.pyannote[108].end |
364.24409375 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
364.80096875 |
transcript.pyannote[109].end |
366.55596875 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
367.75409375 |
transcript.pyannote[110].end |
371.06159375 |
transcript.pyannote[111].speaker |
SPEAKER_03 |
transcript.pyannote[111].start |
368.04096875 |
transcript.pyannote[111].end |
368.17596875 |
transcript.pyannote[112].speaker |
SPEAKER_03 |
transcript.pyannote[112].start |
370.62284375 |
transcript.pyannote[112].end |
370.67346875 |
transcript.pyannote[113].speaker |
SPEAKER_03 |
transcript.pyannote[113].start |
371.06159375 |
transcript.pyannote[113].end |
375.76971875 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
375.83721875 |
transcript.pyannote[114].end |
380.98409375 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
381.76034375 |
transcript.pyannote[115].end |
387.73409375 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
388.52721875 |
transcript.pyannote[116].end |
390.18096875 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
390.48471875 |
transcript.pyannote[117].end |
393.96096875 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
394.28159375 |
transcript.pyannote[118].end |
395.85096875 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
396.35721875 |
transcript.pyannote[119].end |
397.62284375 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
397.97721875 |
transcript.pyannote[120].end |
399.24284375 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
400.00221875 |
transcript.pyannote[121].end |
401.70659375 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
402.51659375 |
transcript.pyannote[122].end |
404.72721875 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
405.08159375 |
transcript.pyannote[123].end |
420.50534375 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
421.16346875 |
transcript.pyannote[124].end |
423.05346875 |
transcript.pyannote[125].speaker |
SPEAKER_02 |
transcript.pyannote[125].start |
423.93096875 |
transcript.pyannote[125].end |
424.11659375 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
424.96034375 |
transcript.pyannote[126].end |
429.34784375 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
429.60096875 |
transcript.pyannote[127].end |
430.56284375 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
431.18721875 |
transcript.pyannote[128].end |
431.81159375 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
431.99721875 |
transcript.pyannote[129].end |
433.56659375 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
434.10659375 |
transcript.pyannote[130].end |
438.71346875 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
438.84846875 |
transcript.pyannote[131].end |
441.95346875 |
transcript.pyannote[132].speaker |
SPEAKER_00 |
transcript.pyannote[132].start |
442.47659375 |
transcript.pyannote[132].end |
446.23971875 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
446.91471875 |
transcript.pyannote[133].end |
449.93534375 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
450.13784375 |
transcript.pyannote[134].end |
456.06096875 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
457.19159375 |
transcript.pyannote[135].end |
459.14909375 |
transcript.pyannote[136].speaker |
SPEAKER_02 |
transcript.pyannote[136].start |
458.54159375 |
transcript.pyannote[136].end |
459.18284375 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
459.18284375 |
transcript.pyannote[137].end |
461.12346875 |
transcript.pyannote[138].speaker |
SPEAKER_02 |
transcript.pyannote[138].start |
459.19971875 |
transcript.pyannote[138].end |
459.33471875 |
transcript.pyannote[139].speaker |
SPEAKER_02 |
transcript.pyannote[139].start |
461.12346875 |
transcript.pyannote[139].end |
461.30909375 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
461.30909375 |
transcript.pyannote[140].end |
468.34596875 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
468.64971875 |
transcript.pyannote[141].end |
469.79721875 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
470.52284375 |
transcript.pyannote[142].end |
471.63659375 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
472.14284375 |
transcript.pyannote[143].end |
473.25659375 |
transcript.pyannote[144].speaker |
SPEAKER_00 |
transcript.pyannote[144].start |
473.76284375 |
transcript.pyannote[144].end |
474.47159375 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
475.29846875 |
transcript.pyannote[145].end |
475.99034375 |
transcript.pyannote[146].speaker |
SPEAKER_00 |
transcript.pyannote[146].start |
476.56409375 |
transcript.pyannote[146].end |
478.45409375 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
478.89284375 |
transcript.pyannote[147].end |
481.15409375 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
481.52534375 |
transcript.pyannote[148].end |
482.33534375 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
482.79096875 |
transcript.pyannote[149].end |
484.51221875 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
484.90034375 |
transcript.pyannote[150].end |
486.40221875 |
transcript.pyannote[151].speaker |
SPEAKER_00 |
transcript.pyannote[151].start |
486.89159375 |
transcript.pyannote[151].end |
490.73909375 |
transcript.pyannote[152].speaker |
SPEAKER_00 |
transcript.pyannote[152].start |
491.16096875 |
transcript.pyannote[152].end |
495.17721875 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
495.66659375 |
transcript.pyannote[153].end |
497.37096875 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
498.21471875 |
transcript.pyannote[154].end |
499.53096875 |
transcript.pyannote[155].speaker |
SPEAKER_02 |
transcript.pyannote[155].start |
500.76284375 |
transcript.pyannote[155].end |
500.77971875 |
transcript.pyannote[156].speaker |
SPEAKER_00 |
transcript.pyannote[156].start |
500.77971875 |
transcript.pyannote[156].end |
500.96534375 |
transcript.pyannote[157].speaker |
SPEAKER_02 |
transcript.pyannote[157].start |
500.96534375 |
transcript.pyannote[157].end |
501.03284375 |
transcript.pyannote[158].speaker |
SPEAKER_00 |
transcript.pyannote[158].start |
501.03284375 |
transcript.pyannote[158].end |
501.04971875 |
transcript.pyannote[159].speaker |
SPEAKER_02 |
transcript.pyannote[159].start |
501.04971875 |
transcript.pyannote[159].end |
501.80909375 |
transcript.pyannote[160].speaker |
SPEAKER_00 |
transcript.pyannote[160].start |
501.80909375 |
transcript.pyannote[160].end |
501.82596875 |
transcript.pyannote[161].speaker |
SPEAKER_02 |
transcript.pyannote[161].start |
501.82596875 |
transcript.pyannote[161].end |
501.84284375 |
transcript.pyannote[162].speaker |
SPEAKER_00 |
transcript.pyannote[162].start |
501.84284375 |
transcript.pyannote[162].end |
501.96096875 |
transcript.pyannote[163].speaker |
SPEAKER_02 |
transcript.pyannote[163].start |
501.96096875 |
transcript.pyannote[163].end |
501.97784375 |
transcript.pyannote[164].speaker |
SPEAKER_00 |
transcript.pyannote[164].start |
501.97784375 |
transcript.pyannote[164].end |
504.67784375 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
504.96471875 |
transcript.pyannote[165].end |
505.03221875 |
transcript.pyannote[166].speaker |
SPEAKER_00 |
transcript.pyannote[166].start |
505.04909375 |
transcript.pyannote[166].end |
506.34846875 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
506.71971875 |
transcript.pyannote[167].end |
509.68971875 |
transcript.pyannote[168].speaker |
SPEAKER_02 |
transcript.pyannote[168].start |
511.36034375 |
transcript.pyannote[168].end |
512.03534375 |
transcript.pyannote[169].speaker |
SPEAKER_00 |
transcript.pyannote[169].start |
512.03534375 |
transcript.pyannote[169].end |
513.04784375 |
transcript.pyannote[170].speaker |
SPEAKER_00 |
transcript.pyannote[170].start |
513.06471875 |
transcript.pyannote[170].end |
514.85346875 |
transcript.pyannote[171].speaker |
SPEAKER_00 |
transcript.pyannote[171].start |
515.20784375 |
transcript.pyannote[171].end |
516.64221875 |
transcript.pyannote[172].speaker |
SPEAKER_00 |
transcript.pyannote[172].start |
517.23284375 |
transcript.pyannote[172].end |
520.40534375 |
transcript.pyannote[173].speaker |
SPEAKER_00 |
transcript.pyannote[173].start |
520.94534375 |
transcript.pyannote[173].end |
524.62409375 |
transcript.pyannote[174].speaker |
SPEAKER_00 |
transcript.pyannote[174].start |
524.99534375 |
transcript.pyannote[174].end |
529.88909375 |
transcript.pyannote[175].speaker |
SPEAKER_00 |
transcript.pyannote[175].start |
530.29409375 |
transcript.pyannote[175].end |
531.47534375 |
transcript.pyannote[176].speaker |
SPEAKER_00 |
transcript.pyannote[176].start |
531.76221875 |
transcript.pyannote[176].end |
536.16659375 |
transcript.pyannote[177].speaker |
SPEAKER_00 |
transcript.pyannote[177].start |
536.25096875 |
transcript.pyannote[177].end |
542.00534375 |
transcript.pyannote[178].speaker |
SPEAKER_00 |
transcript.pyannote[178].start |
542.14034375 |
transcript.pyannote[178].end |
543.03471875 |
transcript.pyannote[179].speaker |
SPEAKER_00 |
transcript.pyannote[179].start |
544.26659375 |
transcript.pyannote[179].end |
546.89909375 |
transcript.pyannote[180].speaker |
SPEAKER_02 |
transcript.pyannote[180].start |
547.45596875 |
transcript.pyannote[180].end |
547.65846875 |
transcript.pyannote[181].speaker |
SPEAKER_00 |
transcript.pyannote[181].start |
547.65846875 |
transcript.pyannote[181].end |
551.82659375 |
transcript.pyannote[182].speaker |
SPEAKER_00 |
transcript.pyannote[182].start |
552.40034375 |
transcript.pyannote[182].end |
554.83034375 |
transcript.pyannote[183].speaker |
SPEAKER_00 |
transcript.pyannote[183].start |
555.16784375 |
transcript.pyannote[183].end |
556.56846875 |
transcript.pyannote[184].speaker |
SPEAKER_00 |
transcript.pyannote[184].start |
556.85534375 |
transcript.pyannote[184].end |
558.23909375 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
558.45846875 |
transcript.pyannote[185].end |
560.55096875 |
transcript.pyannote[186].speaker |
SPEAKER_00 |
transcript.pyannote[186].start |
561.02346875 |
transcript.pyannote[186].end |
563.16659375 |
transcript.pyannote[187].speaker |
SPEAKER_00 |
transcript.pyannote[187].start |
563.57159375 |
transcript.pyannote[187].end |
564.98909375 |
transcript.pyannote[188].speaker |
SPEAKER_00 |
transcript.pyannote[188].start |
565.09034375 |
transcript.pyannote[188].end |
566.37284375 |
transcript.pyannote[189].speaker |
SPEAKER_00 |
transcript.pyannote[189].start |
566.86221875 |
transcript.pyannote[189].end |
567.58784375 |
transcript.pyannote[190].speaker |
SPEAKER_00 |
transcript.pyannote[190].start |
568.21221875 |
transcript.pyannote[190].end |
569.44409375 |
transcript.pyannote[191].speaker |
SPEAKER_00 |
transcript.pyannote[191].start |
569.95034375 |
transcript.pyannote[191].end |
571.30034375 |
transcript.pyannote[192].speaker |
SPEAKER_00 |
transcript.pyannote[192].start |
571.70534375 |
transcript.pyannote[192].end |
572.41409375 |
transcript.pyannote[193].speaker |
SPEAKER_00 |
transcript.pyannote[193].start |
572.71784375 |
transcript.pyannote[193].end |
574.23659375 |
transcript.pyannote[194].speaker |
SPEAKER_00 |
transcript.pyannote[194].start |
574.42221875 |
transcript.pyannote[194].end |
577.51034375 |
transcript.pyannote[195].speaker |
SPEAKER_00 |
transcript.pyannote[195].start |
578.10096875 |
transcript.pyannote[195].end |
581.52659375 |
transcript.pyannote[196].speaker |
SPEAKER_00 |
transcript.pyannote[196].start |
582.23534375 |
transcript.pyannote[196].end |
584.78346875 |
transcript.pyannote[197].speaker |
SPEAKER_00 |
transcript.pyannote[197].start |
585.37409375 |
transcript.pyannote[197].end |
589.96409375 |
transcript.pyannote[198].speaker |
SPEAKER_01 |
transcript.pyannote[198].start |
589.96409375 |
transcript.pyannote[198].end |
592.03971875 |
transcript.pyannote[199].speaker |
SPEAKER_00 |
transcript.pyannote[199].start |
591.12846875 |
transcript.pyannote[199].end |
591.36471875 |
transcript.pyannote[200].speaker |
SPEAKER_01 |
transcript.pyannote[200].start |
594.30096875 |
transcript.pyannote[200].end |
595.68471875 |
transcript.pyannote[201].speaker |
SPEAKER_01 |
transcript.pyannote[201].start |
596.47784375 |
transcript.pyannote[201].end |
600.24096875 |
transcript.pyannote[202].speaker |
SPEAKER_01 |
transcript.pyannote[202].start |
601.74284375 |
transcript.pyannote[202].end |
602.38409375 |
transcript.whisperx[0].start |
0.99 |
transcript.whisperx[0].end |
23.952 |
transcript.whisperx[0].text |
接下來要請的人多一點那麼有請國安局蔡局長以及速發部的薛次長和海巡署的謝副署長那同時呢請我們NCC的陳處長交通部的陳司長以及中華電信的林總經理請準備那還是要請一下顧部長上來一下顧部長因為我只問一句話就好很簡單 |
transcript.whisperx[1].start |
28.734 |
transcript.whisperx[1].end |
34.796 |
transcript.whisperx[1].text |
今天我的質詢,我先請大家看一個東西,關於海嵐我過去的質詢的記錄,我質詢過十次 |
transcript.whisperx[2].start |
43.444 |
transcript.whisperx[2].end |
69.905 |
transcript.whisperx[2].text |
交通委員會五次 國防兩次 院會甚至問過一次但是今天呢 我想先就教於部長的 是另外一個課題您覺得 部長 顧部長 您覺得灰色地帶作戰最大的特色跟優勢是什麼灰色地帶作戰是不是成本相對低 讓你防不身防簡單講啦 如果要抓走私 你會派軍艦 還是派緝毒犬 派米格魯 |
transcript.whisperx[3].start |
73.015 |
transcript.whisperx[3].end |
82.232 |
transcript.whisperx[3].text |
當然不可能派軍艦好 請回就沒國防部的事了嘛請回 謝謝來 蔡局長我們繼續來看下一張今天我們談了很多的事情 |
transcript.whisperx[4].start |
83.328 |
transcript.whisperx[4].end |
107.745 |
transcript.whisperx[4].text |
我要談的就是我們的策略要符合經濟手段中國貨船全球斷海纜這個大家都知道了往下看切斷海纜的工具呢他早就申請專利真的很可惡再往下看尤其是呢他們的貨輪呢還訊號會造假那要我們去辨識MMSI還有不同身份這些呢都是一種很頭痛的一個事情我請問一下局長你覺得抓賊 |
transcript.whisperx[5].start |
110.367 |
transcript.whisperx[5].end |
121.448 |
transcript.whisperx[5].text |
防竊跟反詐欺哪一個比較容易還是哪一個比較困難都不太容易啦都不太容易各種的手法不斷的在翻新當中是的那都要做好那我們來看一下 |
transcript.whisperx[6].start |
122.236 |
transcript.whisperx[6].end |
143.605 |
transcript.whisperx[6].text |
下一個現在我們台灣的特色剛講14條國外10條國內最重要的你有沒有注意到新增加的TPU的海嵐系統它是Meta來跟投資然後它是走什麼走東岸的Down我們在東岸的上岸點只有投誠其他的三個都在西岸為什麼 局長為什麼我們投誠是接跨太平洋的嘛那TPU呢 從哪裡來 |
transcript.whisperx[7].start |
150.106 |
transcript.whisperx[7].end |
159.465 |
transcript.whisperx[7].text |
從北部進來海南部是要不要請抒發部來說明會比較詳細你關於很重要來 抒發部來 他既然點了 次長你趕快講您覺得為什麼這個TP又要走那裡 |
transcript.whisperx[8].start |
160.78 |
transcript.whisperx[8].end |
180.461 |
transcript.whisperx[8].text |
跟委員報告,TPU是日本、韓國、台灣、美國它的路徑從哪裡來?它的路徑是一個環狀的環狀的,對,所以它是從南邊上來的好,謝謝接下來我們要請教局長我們剛剛知道了中國的船舶,我們下一張偵測不法或航機詭異船舶的方法有第一個訊號,當然訊號會造假 |
transcript.whisperx[9].start |
182.463 |
transcript.whisperx[9].end |
197.817 |
transcript.whisperx[9].text |
第二個雷達雷達可能要透過軍方但是漁船過多軍方的重點是防止這些軍事武裝力量進入侵另外一個用眼睛去看那眼睛去看你派船謝副組長在後面船的成本很大你會怎麼判 |
transcript.whisperx[10].start |
198.769 |
transcript.whisperx[10].end |
226.464 |
transcript.whisperx[10].text |
我們有哪些方式局長你問有什麼方式哪些方式最有效益如何搭配資源夠不夠有沒有其他的方式譬如說低軌道衛星的合成孔徑雷達它看的面比較廣它可以穿透雲層它又不是岸上雷達有沒有考慮過這個方法都有啦事實上委員提到這些方法都存在我們在判定各種船位位置都要針對這些綜合的情質來做比較詳細的研判低軌的合成孔徑雷達的技術本局也有在使用 |
transcript.whisperx[11].start |
226.704 |
transcript.whisperx[11].end |
248.923 |
transcript.whisperx[11].text |
但是這些所有的方法呢 都是要怎麼樣 要抓賊在哪裡 對不對好 接下來呢 在場的人可以聽我一下有沒有聽過一句台語的俗諺 下一章意思說三更半夜 做賊只要一個小時就得手啦但是你要防止小偷 你要整個晚上都不睡覺 是不是這樣子 |
transcript.whisperx[12].start |
250.14 |
transcript.whisperx[12].end |
261.744 |
transcript.whisperx[12].text |
大概知道意思吧所以我要問的情況 今天大家通篇都在問什麼要去登領啊 要登檢啊 要有法律依據啊要去識別啦 他還會用訊號假照啦怎麼辦 有沒有一個方法他做賊 他割你的海膽很快啊他在那邊尋釋 在那邊東張西望 你也不能對他怎麼樣等你不注意他就下手了 怎麼辦 |
transcript.whisperx[13].start |
274.984 |
transcript.whisperx[13].end |
296.724 |
transcript.whisperx[13].text |
這部分可能還是會針對他的可能侵擾的樣態去找出比較高風險的船舶的名單我來告訴你一個方法我們很簡單我們的警察人員就早就會這一套了你就看機場的企圖犬米格魯他在那邊秀秀秀一條米格魯沒多少成本但是整個機場旅客都在看他不要問到我偷藏那個肉包 |
transcript.whisperx[14].start |
297.904 |
transcript.whisperx[14].end |
323.095 |
transcript.whisperx[14].text |
行蹟可疑是不是就曝光了很簡單除了watch之外除了從上面監控之外就是follow覺得有點可疑的你們可疑模式有沒有建立有了嘛但是又不能登陵啊派一個無人船後面屁股跟啊後面有人跟監他敢下手嗎局長你知道我意思沒有我們防賊啊要找到對的基本成本最低的往下看來我現在請教一下我們的那個先問 |
transcript.whisperx[15].start |
327.739 |
transcript.whisperx[15].end |
355.199 |
transcript.whisperx[15].text |
請問副組長你認為戈蘭的幽靈船成本多少?培養一個戈蘭的幽靈船幾艘貨船要多少錢?目前的話他們有生意專利大概多少錢?要不要20億?沒有我現在還沒有最方便的資料我問那個次長通訊中斷的成本國家成本要多少?修復海嵐至少要兩千萬要兩千萬美金?台幣通訊中斷的損失呢? |
transcript.whisperx[16].start |
356.072 |
transcript.whisperx[16].end |
380.786 |
transcript.whisperx[16].text |
很難估計很難估計對不對好我接下來請教一下因為今天有中華電信在無人機無人船貴不貴局長有沒有做過評估或者副處長無人船貴不貴無人機的滯空時間短我們用無人船比較簡單無人船呢無人船我們也在跟廠商在協調中那目前都在研發階段所以我真的說局長你要阻擇這個策略的運籌帷幄我要跟您說一件事情 |
transcript.whisperx[17].start |
381.806 |
transcript.whisperx[17].end |
401.596 |
transcript.whisperx[17].text |
就是說 如果這四種事情來比較 我覺得通訊中斷的損失最嚴重海嵐修復次之 養一隻幽靈船來割染 相對便宜你要用更便宜的方式 搞個一百艘無人船 先一輪後面都跟監你後面再跟 他就不敢動手了 |
transcript.whisperx[18].start |
402.591 |
transcript.whisperx[18].end |
430.296 |
transcript.whisperx[18].text |
無人船的治海時間很長啊所以我請您思考一下最後呢我簡單的要問一下那個薛次長來我們往下看來我們國家智慧國家2.0新綱領是不是有沒有開個會我們要佈建這些海欄台灣的光纜通道5G雲端聯網通路您知道嘛對不對知道知道好那是誰在主責數位國家整個方案是包括了速發部對包括了交通部還有包括了什麼 |
transcript.whisperx[19].start |
432.126 |
transcript.whisperx[19].end |
455.915 |
transcript.whisperx[19].text |
國發會,好,來我給你講一個,下一個本席啊,在上一次在哪年前,我不只是在兩年前就問海南被割斷的事情我甚至在2020年我就提出一個主張,什麼就是東部的光纜通道還要加一個西岸的光纜通道還要加一個東岸的光纜站位通道未來我們海南有上路的地點是大武但是大武到頭城,目前有沒有光纖主幹,路上的 |
transcript.whisperx[20].start |
457.571 |
transcript.whisperx[20].end |
469.333 |
transcript.whisperx[20].text |
目前還沒有建還沒有我那時候要求交通部配置為什麼因為交通部啊他的台鐵的路廊很適合布建從大虎道頭層的光纖路廊為什麼我要提這個 |
transcript.whisperx[21].start |
470.56 |
transcript.whisperx[21].end |
499.29 |
transcript.whisperx[21].text |
你海欄會被割 陸欄會不會被破壞蔡局長會不會會不會被破壞所以不要只是顧眼前的事情眼前的海欄我兩年前就要再提醒了真的被割了現在我再提早兩年告訴你接下來就是陸欄的防備但是你佈建一個陸欄大概要五年的時間我上次質詢過林佳龍部長如果要在東岸的光線的戰備通道要佈到光線的陸欄大概要五年計畫去施作次長你覺得可不可行 |
transcript.whisperx[22].start |
500.976 |
transcript.whisperx[22].end |
520.243 |
transcript.whisperx[22].text |
我想在陸上布置比海上更便宜多了也好防護對不對但是你能保證他不攻擊你西岸的光藍路廊嗎沒有辦法保證沒有辦法保證嘛所以我今天最重要一點我要跟你們講一個抓賊防竊反詐欺要找對方法 |
transcript.whisperx[23].start |
521.261 |
transcript.whisperx[23].end |
546.69 |
transcript.whisperx[23].text |
對抗這種灰色地的作戰不要用飛機大砲用小成本的方式拍個米格魯跟在他屁股後面他就不敢下手無人船無人機第二預防海嵐的割染事件再度在其他地方發生趕快籌備我們第二條路上的東部幹線的光纖 光纜可以提個報告嗎第二個提案可不可以請速發部來研議一下 |
transcript.whisperx[24].start |
548.522 |
transcript.whisperx[24].end |
567.375 |
transcript.whisperx[24].text |
好 那麼蔡局長第一個方式 我已經跟你提了很多方式了不管是訊號假照 詭異航跡那個都要很發功夫的不管你用低軌道的衛星的合成光線雷達去Watch還是你用岸上雷達去掃描還是你派我們的海巡船上去要登陵都很貴買幾條米格魯 |
transcript.whisperx[25].start |
569.963 |
transcript.whisperx[25].end |
590.921 |
transcript.whisperx[25].text |
投資一些五人船嫌疑犯可能的嫌犯全一輪後面屁股跟肩船身漆得紅紅的讓他看得到我跟你講啦 想要拔竊的人看到有制服警察他就不做了啦最簡單的方式就是見警慮啦那警察呢不要派真人的派五人機的 可以考慮嗎好 這我們來研議也提供給海上司法單位參考謝謝 |
transcript.whisperx[26].start |
594.81 |
transcript.whisperx[26].end |
599.803 |
transcript.whisperx[26].text |
謝謝鍾嘉賓委員那請依委員的要求並一個月內提出書面報告接下來我們 |