iVOD / 165041

Field Value
IVOD_ID 165041
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/165041
日期 2025-11-05
會議資料.會議代碼 委員會-11-4-23-5
會議資料.會議代碼:str 第11屆第4會期交通委員會第5次全體委員會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 5
會議資料.種類 委員會
會議資料.委員會代碼[0] 23
會議資料.委員會代碼:str[0] 交通委員會
會議資料.標題 第11屆第4會期交通委員會第5次全體委員會議
影片種類 Clip
開始時間 2025-11-05T10:11:16+08:00
結束時間 2025-11-05T10:22:44+08:00
影片長度 00:11:28
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/0bb7d6ea348ff1d22c0f9d38e27bd71088b64aa779fa24d2462d9096eb7c9b6775b8ca2af51068035ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 蔡其昌
委員發言時間 10:11:16 - 10:22:44
會議時間 2025-11-05T09:00:00+08:00
會議名稱 立法院第11屆第4會期交通委員會第5次全體委員會議(事由:一、審查(一)行政院函請審議、(二)委員王美惠等20人、(三)委員李坤城等18人、(四)委員伍麗華Saidhai Tahovecahe等16人、(五)委員羅美玲等19人、(六)委員黃捷等21人、(七)委員邱鎮軍等21人、(八)委員吳沛憶等16人、(九)委員林楚茵等17人、(十)委員沈伯洋等18人、(十一)委員蔡易餘等17人、(十二)委員郭昱晴等16人分別擬具「電信管理法第七十二條條文修正草案」案及(十三)委員林宜瑾等22人擬具「電信管理法增訂第七十二條之二條文草案」案。 二、審查(一)行政院函請審議、(二)委員王美惠等19人、(三)委員李坤城等17人、(四)委員伍麗華Saidhai Tahovecahe等16人、(五)委員黃捷等22人、(六)委員吳沛憶等16人、(七)委員林楚茵等17人、(八)委員沈伯洋等18人、(九)委員蔡易餘等16人及(十)委員郭昱晴等16人分別擬具「氣象法第二十一條之一條文修正草案」案。 三、審查(一)行政院函請審議、(二)委員王美惠等20人、(三)委員李坤城等18人、(四)委員伍麗華Saidhai Tahovecahe等16人、(五)委員羅美玲等19人、(六)委員黃捷等22人、(七)委員邱鎮軍等23人、(八)委員吳沛憶等16人、(九)委員林楚茵等17人、(十)委員沈伯洋等19人、(十一)委員蔡易餘等16人及(十二)委員郭昱晴等16人分別擬具「商港法第十五條及第六十五條之四條文修正草案」案。 四、審查(一)行政院函請審議、(二)委員蔡其昌等22人、(三)委員王美惠等21人、(四)委員李坤城等18人、(五)委員伍麗華Saidhai Tahovecahe等16人、(六)委員黃捷等16人、(七)委員徐富癸等16人、(八)委員吳沛憶等16人、(九)委員林楚茵等17人、(十)委員沈伯洋等19人、(十一)委員蔡易餘等17人、(十二)委員郭昱晴等16人分別擬具「船舶法部分條文修正草案」案及(十三)委員蘇巧慧等18人擬具「船舶法第八條及第八十九條條文修正草案」案。 【本日會議僅進行詢答;開會事由一第(九)至(十二)案、開會事由二第(七)至(十)案、開會事由三第(九)至(十二)案及開會事由四第(九)至(十二)案如經院會復議,則不予審查】 【11月3日及5日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_05
transcript.pyannote[0].start 2.49471875
transcript.pyannote[0].end 4.04721875
transcript.pyannote[1].speaker SPEAKER_05
transcript.pyannote[1].start 4.35096875
transcript.pyannote[1].end 7.16909375
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 7.11846875
transcript.pyannote[2].end 8.11409375
transcript.pyannote[3].speaker SPEAKER_05
transcript.pyannote[3].start 8.11409375
transcript.pyannote[3].end 9.49784375
transcript.pyannote[4].speaker SPEAKER_05
transcript.pyannote[4].start 9.86909375
transcript.pyannote[4].end 12.67034375
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 12.87284375
transcript.pyannote[5].end 14.34096875
transcript.pyannote[6].speaker SPEAKER_05
transcript.pyannote[6].start 17.10846875
transcript.pyannote[6].end 17.63159375
transcript.pyannote[7].speaker SPEAKER_05
transcript.pyannote[7].start 18.13784375
transcript.pyannote[7].end 19.77471875
transcript.pyannote[8].speaker SPEAKER_05
transcript.pyannote[8].start 20.60159375
transcript.pyannote[8].end 24.93846875
transcript.pyannote[9].speaker SPEAKER_05
transcript.pyannote[9].start 25.41096875
transcript.pyannote[9].end 27.28409375
transcript.pyannote[10].speaker SPEAKER_05
transcript.pyannote[10].start 28.46534375
transcript.pyannote[10].end 41.72909375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 35.70471875
transcript.pyannote[11].end 35.95784375
transcript.pyannote[12].speaker SPEAKER_05
transcript.pyannote[12].start 42.10034375
transcript.pyannote[12].end 48.39471875
transcript.pyannote[13].speaker SPEAKER_04
transcript.pyannote[13].start 47.02784375
transcript.pyannote[13].end 47.71971875
transcript.pyannote[14].speaker SPEAKER_05
transcript.pyannote[14].start 48.71534375
transcript.pyannote[14].end 49.05284375
transcript.pyannote[15].speaker SPEAKER_05
transcript.pyannote[15].start 49.62659375
transcript.pyannote[15].end 50.33534375
transcript.pyannote[16].speaker SPEAKER_05
transcript.pyannote[16].start 51.17909375
transcript.pyannote[16].end 52.95096875
transcript.pyannote[17].speaker SPEAKER_05
transcript.pyannote[17].start 53.44034375
transcript.pyannote[17].end 59.11034375
transcript.pyannote[18].speaker SPEAKER_05
transcript.pyannote[18].start 59.58284375
transcript.pyannote[18].end 59.59971875
transcript.pyannote[19].speaker SPEAKER_04
transcript.pyannote[19].start 59.59971875
transcript.pyannote[19].end 59.63346875
transcript.pyannote[20].speaker SPEAKER_05
transcript.pyannote[20].start 59.63346875
transcript.pyannote[20].end 59.85284375
transcript.pyannote[21].speaker SPEAKER_04
transcript.pyannote[21].start 59.85284375
transcript.pyannote[21].end 62.04659375
transcript.pyannote[22].speaker SPEAKER_05
transcript.pyannote[22].start 61.52346875
transcript.pyannote[22].end 63.71721875
transcript.pyannote[23].speaker SPEAKER_05
transcript.pyannote[23].start 64.24034375
transcript.pyannote[23].end 66.21471875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 73.30221875
transcript.pyannote[24].end 79.46159375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 75.98534375
transcript.pyannote[25].end 76.25534375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 77.95971875
transcript.pyannote[26].end 78.44909375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 84.55784375
transcript.pyannote[27].end 89.36721875
transcript.pyannote[28].speaker SPEAKER_05
transcript.pyannote[28].start 88.40534375
transcript.pyannote[28].end 90.29534375
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 90.78471875
transcript.pyannote[29].end 90.86909375
transcript.pyannote[30].speaker SPEAKER_05
transcript.pyannote[30].start 90.86909375
transcript.pyannote[30].end 92.10096875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 91.39221875
transcript.pyannote[31].end 92.91096875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 93.87284375
transcript.pyannote[32].end 94.48034375
transcript.pyannote[33].speaker SPEAKER_05
transcript.pyannote[33].start 94.10909375
transcript.pyannote[33].end 95.23971875
transcript.pyannote[34].speaker SPEAKER_05
transcript.pyannote[34].start 96.40409375
transcript.pyannote[34].end 99.27284375
transcript.pyannote[35].speaker SPEAKER_05
transcript.pyannote[35].start 102.74909375
transcript.pyannote[35].end 105.04409375
transcript.pyannote[36].speaker SPEAKER_05
transcript.pyannote[36].start 106.20846875
transcript.pyannote[36].end 107.05221875
transcript.pyannote[37].speaker SPEAKER_05
transcript.pyannote[37].start 108.21659375
transcript.pyannote[37].end 109.51596875
transcript.pyannote[38].speaker SPEAKER_05
transcript.pyannote[38].start 109.63409375
transcript.pyannote[38].end 110.35971875
transcript.pyannote[39].speaker SPEAKER_05
transcript.pyannote[39].start 114.78096875
transcript.pyannote[39].end 115.10159375
transcript.pyannote[40].speaker SPEAKER_05
transcript.pyannote[40].start 116.16471875
transcript.pyannote[40].end 117.32909375
transcript.pyannote[41].speaker SPEAKER_05
transcript.pyannote[41].start 117.61596875
transcript.pyannote[41].end 122.39159375
transcript.pyannote[42].speaker SPEAKER_05
transcript.pyannote[42].start 123.03284375
transcript.pyannote[42].end 123.58971875
transcript.pyannote[43].speaker SPEAKER_05
transcript.pyannote[43].start 125.73284375
transcript.pyannote[43].end 126.71159375
transcript.pyannote[44].speaker SPEAKER_05
transcript.pyannote[44].start 126.91409375
transcript.pyannote[44].end 129.88409375
transcript.pyannote[45].speaker SPEAKER_05
transcript.pyannote[45].start 131.47034375
transcript.pyannote[45].end 132.73596875
transcript.pyannote[46].speaker SPEAKER_05
transcript.pyannote[46].start 133.17471875
transcript.pyannote[46].end 134.64284375
transcript.pyannote[47].speaker SPEAKER_05
transcript.pyannote[47].start 137.91659375
transcript.pyannote[47].end 138.20346875
transcript.pyannote[48].speaker SPEAKER_05
transcript.pyannote[48].start 138.55784375
transcript.pyannote[48].end 144.00846875
transcript.pyannote[49].speaker SPEAKER_05
transcript.pyannote[49].start 144.85221875
transcript.pyannote[49].end 146.77596875
transcript.pyannote[50].speaker SPEAKER_05
transcript.pyannote[50].start 147.77159375
transcript.pyannote[50].end 149.50971875
transcript.pyannote[51].speaker SPEAKER_05
transcript.pyannote[51].start 149.67846875
transcript.pyannote[51].end 150.01596875
transcript.pyannote[52].speaker SPEAKER_05
transcript.pyannote[52].start 150.55596875
transcript.pyannote[52].end 151.26471875
transcript.pyannote[53].speaker SPEAKER_04
transcript.pyannote[53].start 151.92284375
transcript.pyannote[53].end 152.69909375
transcript.pyannote[54].speaker SPEAKER_05
transcript.pyannote[54].start 152.26034375
transcript.pyannote[54].end 154.31909375
transcript.pyannote[55].speaker SPEAKER_04
transcript.pyannote[55].start 154.31909375
transcript.pyannote[55].end 155.71971875
transcript.pyannote[56].speaker SPEAKER_05
transcript.pyannote[56].start 155.51721875
transcript.pyannote[56].end 158.94284375
transcript.pyannote[57].speaker SPEAKER_04
transcript.pyannote[57].start 158.94284375
transcript.pyannote[57].end 161.20409375
transcript.pyannote[58].speaker SPEAKER_04
transcript.pyannote[58].start 161.74409375
transcript.pyannote[58].end 177.31971875
transcript.pyannote[59].speaker SPEAKER_05
transcript.pyannote[59].start 175.88534375
transcript.pyannote[59].end 179.93534375
transcript.pyannote[60].speaker SPEAKER_04
transcript.pyannote[60].start 178.36596875
transcript.pyannote[60].end 179.91846875
transcript.pyannote[61].speaker SPEAKER_04
transcript.pyannote[61].start 179.93534375
transcript.pyannote[61].end 182.77034375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 182.77034375
transcript.pyannote[62].end 182.98971875
transcript.pyannote[63].speaker SPEAKER_04
transcript.pyannote[63].start 182.98971875
transcript.pyannote[63].end 187.22534375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 183.15846875
transcript.pyannote[64].end 183.25971875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 183.27659375
transcript.pyannote[65].end 183.56346875
transcript.pyannote[66].speaker SPEAKER_05
transcript.pyannote[66].start 183.56346875
transcript.pyannote[66].end 183.59721875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 184.94721875
transcript.pyannote[67].end 184.96409375
transcript.pyannote[68].speaker SPEAKER_05
transcript.pyannote[68].start 184.96409375
transcript.pyannote[68].end 185.33534375
transcript.pyannote[69].speaker SPEAKER_04
transcript.pyannote[69].start 188.03534375
transcript.pyannote[69].end 188.05221875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 188.05221875
transcript.pyannote[70].end 188.06909375
transcript.pyannote[71].speaker SPEAKER_04
transcript.pyannote[71].start 188.06909375
transcript.pyannote[71].end 188.42346875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 188.42346875
transcript.pyannote[72].end 188.54159375
transcript.pyannote[73].speaker SPEAKER_04
transcript.pyannote[73].start 188.54159375
transcript.pyannote[73].end 188.59221875
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 188.59221875
transcript.pyannote[74].end 188.76096875
transcript.pyannote[75].speaker SPEAKER_05
transcript.pyannote[75].start 188.76096875
transcript.pyannote[75].end 188.82846875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 188.82846875
transcript.pyannote[76].end 188.84534375
transcript.pyannote[77].speaker SPEAKER_05
transcript.pyannote[77].start 188.84534375
transcript.pyannote[77].end 190.41471875
transcript.pyannote[78].speaker SPEAKER_04
transcript.pyannote[78].start 190.51596875
transcript.pyannote[78].end 194.51534375
transcript.pyannote[79].speaker SPEAKER_05
transcript.pyannote[79].start 194.73471875
transcript.pyannote[79].end 197.50221875
transcript.pyannote[80].speaker SPEAKER_05
transcript.pyannote[80].start 198.32909375
transcript.pyannote[80].end 200.35409375
transcript.pyannote[81].speaker SPEAKER_04
transcript.pyannote[81].start 200.45534375
transcript.pyannote[81].end 206.14221875
transcript.pyannote[82].speaker SPEAKER_05
transcript.pyannote[82].start 201.21471875
transcript.pyannote[82].end 201.38346875
transcript.pyannote[83].speaker SPEAKER_04
transcript.pyannote[83].start 206.41221875
transcript.pyannote[83].end 206.73284375
transcript.pyannote[84].speaker SPEAKER_05
transcript.pyannote[84].start 207.15471875
transcript.pyannote[84].end 212.70659375
transcript.pyannote[85].speaker SPEAKER_05
transcript.pyannote[85].start 213.14534375
transcript.pyannote[85].end 214.20846875
transcript.pyannote[86].speaker SPEAKER_05
transcript.pyannote[86].start 214.81596875
transcript.pyannote[86].end 217.34721875
transcript.pyannote[87].speaker SPEAKER_05
transcript.pyannote[87].start 217.51596875
transcript.pyannote[87].end 218.68034375
transcript.pyannote[88].speaker SPEAKER_05
transcript.pyannote[88].start 219.06846875
transcript.pyannote[88].end 223.20284375
transcript.pyannote[89].speaker SPEAKER_05
transcript.pyannote[89].start 224.18159375
transcript.pyannote[89].end 225.63284375
transcript.pyannote[90].speaker SPEAKER_05
transcript.pyannote[90].start 225.86909375
transcript.pyannote[90].end 227.77596875
transcript.pyannote[91].speaker SPEAKER_05
transcript.pyannote[91].start 228.09659375
transcript.pyannote[91].end 230.64471875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 230.94846875
transcript.pyannote[92].end 231.03284375
transcript.pyannote[93].speaker SPEAKER_05
transcript.pyannote[93].start 231.03284375
transcript.pyannote[93].end 233.58096875
transcript.pyannote[94].speaker SPEAKER_05
transcript.pyannote[94].start 233.83409375
transcript.pyannote[94].end 238.22159375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 237.83346875
transcript.pyannote[95].end 237.96846875
transcript.pyannote[96].speaker SPEAKER_04
transcript.pyannote[96].start 237.96846875
transcript.pyannote[96].end 238.13721875
transcript.pyannote[97].speaker SPEAKER_05
transcript.pyannote[97].start 238.69409375
transcript.pyannote[97].end 241.32659375
transcript.pyannote[98].speaker SPEAKER_05
transcript.pyannote[98].start 241.59659375
transcript.pyannote[98].end 244.93784375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 243.33471875
transcript.pyannote[99].end 243.60471875
transcript.pyannote[100].speaker SPEAKER_05
transcript.pyannote[100].start 245.42721875
transcript.pyannote[100].end 248.95409375
transcript.pyannote[101].speaker SPEAKER_05
transcript.pyannote[101].start 249.84846875
transcript.pyannote[101].end 252.16034375
transcript.pyannote[102].speaker SPEAKER_05
transcript.pyannote[102].start 252.66659375
transcript.pyannote[102].end 252.97034375
transcript.pyannote[103].speaker SPEAKER_05
transcript.pyannote[103].start 254.38784375
transcript.pyannote[103].end 259.88909375
transcript.pyannote[104].speaker SPEAKER_04
transcript.pyannote[104].start 260.44596875
transcript.pyannote[104].end 299.29221875
transcript.pyannote[105].speaker SPEAKER_05
transcript.pyannote[105].start 299.41034375
transcript.pyannote[105].end 300.16971875
transcript.pyannote[106].speaker SPEAKER_05
transcript.pyannote[106].start 301.08096875
transcript.pyannote[106].end 307.20659375
transcript.pyannote[107].speaker SPEAKER_04
transcript.pyannote[107].start 303.76409375
transcript.pyannote[107].end 304.13534375
transcript.pyannote[108].speaker SPEAKER_04
transcript.pyannote[108].start 306.19409375
transcript.pyannote[108].end 306.51471875
transcript.pyannote[109].speaker SPEAKER_05
transcript.pyannote[109].start 307.61159375
transcript.pyannote[109].end 315.84659375
transcript.pyannote[110].speaker SPEAKER_05
transcript.pyannote[110].start 316.42034375
transcript.pyannote[110].end 319.89659375
transcript.pyannote[111].speaker SPEAKER_05
transcript.pyannote[111].start 320.31846875
transcript.pyannote[111].end 323.11971875
transcript.pyannote[112].speaker SPEAKER_05
transcript.pyannote[112].start 323.47409375
transcript.pyannote[112].end 323.82846875
transcript.pyannote[113].speaker SPEAKER_05
transcript.pyannote[113].start 324.06471875
transcript.pyannote[113].end 324.40221875
transcript.pyannote[114].speaker SPEAKER_05
transcript.pyannote[114].start 325.44846875
transcript.pyannote[114].end 328.55346875
transcript.pyannote[115].speaker SPEAKER_05
transcript.pyannote[115].start 328.99221875
transcript.pyannote[115].end 332.73846875
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 332.82284375
transcript.pyannote[116].end 333.26159375
transcript.pyannote[117].speaker SPEAKER_05
transcript.pyannote[117].start 333.53159375
transcript.pyannote[117].end 338.39159375
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 335.40471875
transcript.pyannote[118].end 335.74221875
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 337.66596875
transcript.pyannote[119].end 338.25659375
transcript.pyannote[120].speaker SPEAKER_05
transcript.pyannote[120].start 338.91471875
transcript.pyannote[120].end 341.07471875
transcript.pyannote[121].speaker SPEAKER_05
transcript.pyannote[121].start 341.19284375
transcript.pyannote[121].end 349.57971875
transcript.pyannote[122].speaker SPEAKER_04
transcript.pyannote[122].start 341.83409375
transcript.pyannote[122].end 342.15471875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 342.15471875
transcript.pyannote[123].end 342.20534375
transcript.pyannote[124].speaker SPEAKER_05
transcript.pyannote[124].start 349.98471875
transcript.pyannote[124].end 353.57909375
transcript.pyannote[125].speaker SPEAKER_05
transcript.pyannote[125].start 354.28784375
transcript.pyannote[125].end 355.94159375
transcript.pyannote[126].speaker SPEAKER_05
transcript.pyannote[126].start 356.07659375
transcript.pyannote[126].end 368.51346875
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 362.70846875
transcript.pyannote[127].end 362.89409375
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 368.64846875
transcript.pyannote[128].end 369.03659375
transcript.pyannote[129].speaker SPEAKER_05
transcript.pyannote[129].start 369.03659375
transcript.pyannote[129].end 377.40659375
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 369.13784375
transcript.pyannote[130].end 369.99846875
transcript.pyannote[131].speaker SPEAKER_04
transcript.pyannote[131].start 377.40659375
transcript.pyannote[131].end 378.85784375
transcript.pyannote[132].speaker SPEAKER_05
transcript.pyannote[132].start 378.23346875
transcript.pyannote[132].end 381.79409375
transcript.pyannote[133].speaker SPEAKER_05
transcript.pyannote[133].start 381.96284375
transcript.pyannote[133].end 384.10596875
transcript.pyannote[134].speaker SPEAKER_05
transcript.pyannote[134].start 384.62909375
transcript.pyannote[134].end 395.26034375
transcript.pyannote[135].speaker SPEAKER_05
transcript.pyannote[135].start 395.66534375
transcript.pyannote[135].end 409.67159375
transcript.pyannote[136].speaker SPEAKER_04
transcript.pyannote[136].start 402.71909375
transcript.pyannote[136].end 403.00596875
transcript.pyannote[137].speaker SPEAKER_04
transcript.pyannote[137].start 407.69721875
transcript.pyannote[137].end 408.77721875
transcript.pyannote[138].speaker SPEAKER_04
transcript.pyannote[138].start 409.63784375
transcript.pyannote[138].end 410.02596875
transcript.pyannote[139].speaker SPEAKER_05
transcript.pyannote[139].start 409.68846875
transcript.pyannote[139].end 410.41409375
transcript.pyannote[140].speaker SPEAKER_04
transcript.pyannote[140].start 410.59971875
transcript.pyannote[140].end 411.69659375
transcript.pyannote[141].speaker SPEAKER_05
transcript.pyannote[141].start 411.05534375
transcript.pyannote[141].end 419.71221875
transcript.pyannote[142].speaker SPEAKER_04
transcript.pyannote[142].start 412.37159375
transcript.pyannote[142].end 412.62471875
transcript.pyannote[143].speaker SPEAKER_04
transcript.pyannote[143].start 419.79659375
transcript.pyannote[143].end 423.49221875
transcript.pyannote[144].speaker SPEAKER_05
transcript.pyannote[144].start 423.49221875
transcript.pyannote[144].end 423.50909375
transcript.pyannote[145].speaker SPEAKER_04
transcript.pyannote[145].start 423.50909375
transcript.pyannote[145].end 423.52596875
transcript.pyannote[146].speaker SPEAKER_05
transcript.pyannote[146].start 423.52596875
transcript.pyannote[146].end 439.97909375
transcript.pyannote[147].speaker SPEAKER_04
transcript.pyannote[147].start 423.55971875
transcript.pyannote[147].end 425.39909375
transcript.pyannote[148].speaker SPEAKER_04
transcript.pyannote[148].start 426.07409375
transcript.pyannote[148].end 426.20909375
transcript.pyannote[149].speaker SPEAKER_04
transcript.pyannote[149].start 426.42846875
transcript.pyannote[149].end 426.56346875
transcript.pyannote[150].speaker SPEAKER_04
transcript.pyannote[150].start 433.14471875
transcript.pyannote[150].end 433.56659375
transcript.pyannote[151].speaker SPEAKER_04
transcript.pyannote[151].start 436.94159375
transcript.pyannote[151].end 437.38034375
transcript.pyannote[152].speaker SPEAKER_04
transcript.pyannote[152].start 439.30409375
transcript.pyannote[152].end 439.96221875
transcript.pyannote[153].speaker SPEAKER_04
transcript.pyannote[153].start 439.97909375
transcript.pyannote[153].end 440.53596875
transcript.pyannote[154].speaker SPEAKER_05
transcript.pyannote[154].start 441.58221875
transcript.pyannote[154].end 449.47971875
transcript.pyannote[155].speaker SPEAKER_04
transcript.pyannote[155].start 446.23971875
transcript.pyannote[155].end 446.32409375
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 448.80471875
transcript.pyannote[156].end 449.26034375
transcript.pyannote[157].speaker SPEAKER_05
transcript.pyannote[157].start 450.61034375
transcript.pyannote[157].end 453.19221875
transcript.pyannote[158].speaker SPEAKER_05
transcript.pyannote[158].start 453.56346875
transcript.pyannote[158].end 457.27596875
transcript.pyannote[159].speaker SPEAKER_05
transcript.pyannote[159].start 457.49534375
transcript.pyannote[159].end 462.69284375
transcript.pyannote[160].speaker SPEAKER_05
transcript.pyannote[160].start 462.84471875
transcript.pyannote[160].end 464.41409375
transcript.pyannote[161].speaker SPEAKER_05
transcript.pyannote[161].start 464.76846875
transcript.pyannote[161].end 465.88221875
transcript.pyannote[162].speaker SPEAKER_05
transcript.pyannote[162].start 466.42221875
transcript.pyannote[162].end 467.41784375
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 466.47284375
transcript.pyannote[163].end 478.77471875
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 475.85534375
transcript.pyannote[164].end 475.90596875
transcript.pyannote[165].speaker SPEAKER_05
transcript.pyannote[165].start 475.90596875
transcript.pyannote[165].end 476.12534375
transcript.pyannote[166].speaker SPEAKER_05
transcript.pyannote[166].start 478.77471875
transcript.pyannote[166].end 480.05721875
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 479.44971875
transcript.pyannote[167].end 481.89659375
transcript.pyannote[168].speaker SPEAKER_05
transcript.pyannote[168].start 481.59284375
transcript.pyannote[168].end 485.40659375
transcript.pyannote[169].speaker SPEAKER_05
transcript.pyannote[169].start 485.42346875
transcript.pyannote[169].end 485.49096875
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 485.49096875
transcript.pyannote[170].end 485.60909375
transcript.pyannote[171].speaker SPEAKER_05
transcript.pyannote[171].start 485.60909375
transcript.pyannote[171].end 487.09409375
transcript.pyannote[172].speaker SPEAKER_05
transcript.pyannote[172].start 487.27971875
transcript.pyannote[172].end 499.12596875
transcript.pyannote[173].speaker SPEAKER_05
transcript.pyannote[173].start 499.19346875
transcript.pyannote[173].end 500.77971875
transcript.pyannote[174].speaker SPEAKER_05
transcript.pyannote[174].start 501.08346875
transcript.pyannote[174].end 505.75784375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 504.07034375
transcript.pyannote[175].end 504.08721875
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 504.12096875
transcript.pyannote[176].end 504.50909375
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 505.75784375
transcript.pyannote[177].end 505.77471875
transcript.pyannote[178].speaker SPEAKER_05
transcript.pyannote[178].start 505.77471875
transcript.pyannote[178].end 505.80846875
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 505.80846875
transcript.pyannote[179].end 505.90971875
transcript.pyannote[180].speaker SPEAKER_05
transcript.pyannote[180].start 505.90971875
transcript.pyannote[180].end 516.08534375
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 505.92659375
transcript.pyannote[181].end 506.33159375
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 507.88409375
transcript.pyannote[182].end 509.23409375
transcript.pyannote[183].speaker SPEAKER_05
transcript.pyannote[183].start 516.32159375
transcript.pyannote[183].end 527.67846875
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 517.70534375
transcript.pyannote[184].end 517.73909375
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 520.70909375
transcript.pyannote[185].end 520.84409375
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 527.76284375
transcript.pyannote[186].end 530.95221875
transcript.pyannote[187].speaker SPEAKER_05
transcript.pyannote[187].start 530.63159375
transcript.pyannote[187].end 537.06096875
transcript.pyannote[188].speaker SPEAKER_05
transcript.pyannote[188].start 537.65159375
transcript.pyannote[188].end 539.08596875
transcript.pyannote[189].speaker SPEAKER_05
transcript.pyannote[189].start 540.26721875
transcript.pyannote[189].end 543.05159375
transcript.pyannote[190].speaker SPEAKER_05
transcript.pyannote[190].start 543.74346875
transcript.pyannote[190].end 544.19909375
transcript.pyannote[191].speaker SPEAKER_05
transcript.pyannote[191].start 544.48596875
transcript.pyannote[191].end 547.87784375
transcript.pyannote[192].speaker SPEAKER_04
transcript.pyannote[192].start 544.60409375
transcript.pyannote[192].end 545.21159375
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 545.21159375
transcript.pyannote[193].end 545.24534375
transcript.pyannote[194].speaker SPEAKER_05
transcript.pyannote[194].start 547.89471875
transcript.pyannote[194].end 551.59034375
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 547.99596875
transcript.pyannote[195].end 548.58659375
transcript.pyannote[196].speaker SPEAKER_00
transcript.pyannote[196].start 548.90721875
transcript.pyannote[196].end 549.02534375
transcript.pyannote[197].speaker SPEAKER_03
transcript.pyannote[197].start 549.02534375
transcript.pyannote[197].end 549.44721875
transcript.pyannote[198].speaker SPEAKER_05
transcript.pyannote[198].start 552.19784375
transcript.pyannote[198].end 558.23909375
transcript.pyannote[199].speaker SPEAKER_03
transcript.pyannote[199].start 556.65284375
transcript.pyannote[199].end 556.95659375
transcript.pyannote[200].speaker SPEAKER_03
transcript.pyannote[200].start 557.61471875
transcript.pyannote[200].end 557.76659375
transcript.pyannote[201].speaker SPEAKER_03
transcript.pyannote[201].start 558.25596875
transcript.pyannote[201].end 562.71096875
transcript.pyannote[202].speaker SPEAKER_05
transcript.pyannote[202].start 562.64346875
transcript.pyannote[202].end 569.73096875
transcript.pyannote[203].speaker SPEAKER_03
transcript.pyannote[203].start 570.67596875
transcript.pyannote[203].end 570.70971875
transcript.pyannote[204].speaker SPEAKER_03
transcript.pyannote[204].start 571.16534375
transcript.pyannote[204].end 588.54659375
transcript.pyannote[205].speaker SPEAKER_04
transcript.pyannote[205].start 576.93659375
transcript.pyannote[205].end 577.44284375
transcript.pyannote[206].speaker SPEAKER_03
transcript.pyannote[206].start 588.56346875
transcript.pyannote[206].end 594.87471875
transcript.pyannote[207].speaker SPEAKER_05
transcript.pyannote[207].start 594.95909375
transcript.pyannote[207].end 600.52784375
transcript.pyannote[208].speaker SPEAKER_05
transcript.pyannote[208].start 600.96659375
transcript.pyannote[208].end 602.58659375
transcript.pyannote[209].speaker SPEAKER_02
transcript.pyannote[209].start 603.53159375
transcript.pyannote[209].end 604.00409375
transcript.pyannote[210].speaker SPEAKER_05
transcript.pyannote[210].start 603.70034375
transcript.pyannote[210].end 605.33721875
transcript.pyannote[211].speaker SPEAKER_05
transcript.pyannote[211].start 605.65784375
transcript.pyannote[211].end 605.99534375
transcript.pyannote[212].speaker SPEAKER_05
transcript.pyannote[212].start 606.40034375
transcript.pyannote[212].end 606.56909375
transcript.pyannote[213].speaker SPEAKER_05
transcript.pyannote[213].start 607.12596875
transcript.pyannote[213].end 612.93096875
transcript.pyannote[214].speaker SPEAKER_05
transcript.pyannote[214].start 613.45409375
transcript.pyannote[214].end 614.77034375
transcript.pyannote[215].speaker SPEAKER_04
transcript.pyannote[215].start 614.88846875
transcript.pyannote[215].end 621.80721875
transcript.pyannote[216].speaker SPEAKER_05
transcript.pyannote[216].start 617.94284375
transcript.pyannote[216].end 618.09471875
transcript.pyannote[217].speaker SPEAKER_05
transcript.pyannote[217].start 619.00596875
transcript.pyannote[217].end 620.87909375
transcript.pyannote[218].speaker SPEAKER_05
transcript.pyannote[218].start 621.36846875
transcript.pyannote[218].end 624.97971875
transcript.pyannote[219].speaker SPEAKER_05
transcript.pyannote[219].start 625.28346875
transcript.pyannote[219].end 649.87034375
transcript.pyannote[220].speaker SPEAKER_04
transcript.pyannote[220].start 625.85721875
transcript.pyannote[220].end 626.97096875
transcript.pyannote[221].speaker SPEAKER_00
transcript.pyannote[221].start 626.97096875
transcript.pyannote[221].end 627.03846875
transcript.pyannote[222].speaker SPEAKER_00
transcript.pyannote[222].start 634.95284375
transcript.pyannote[222].end 635.03721875
transcript.pyannote[223].speaker SPEAKER_05
transcript.pyannote[223].start 649.92096875
transcript.pyannote[223].end 650.32596875
transcript.pyannote[224].speaker SPEAKER_03
transcript.pyannote[224].start 650.47784375
transcript.pyannote[224].end 660.01221875
transcript.pyannote[225].speaker SPEAKER_05
transcript.pyannote[225].start 659.38784375
transcript.pyannote[225].end 663.08346875
transcript.pyannote[226].speaker SPEAKER_03
transcript.pyannote[226].start 662.86409375
transcript.pyannote[226].end 663.43784375
transcript.pyannote[227].speaker SPEAKER_03
transcript.pyannote[227].start 663.52221875
transcript.pyannote[227].end 673.42784375
transcript.pyannote[228].speaker SPEAKER_05
transcript.pyannote[228].start 663.80909375
transcript.pyannote[228].end 665.26034375
transcript.pyannote[229].speaker SPEAKER_05
transcript.pyannote[229].start 672.06096875
transcript.pyannote[229].end 673.79909375
transcript.pyannote[230].speaker SPEAKER_03
transcript.pyannote[230].start 673.79909375
transcript.pyannote[230].end 674.52471875
transcript.pyannote[231].speaker SPEAKER_05
transcript.pyannote[231].start 674.00159375
transcript.pyannote[231].end 674.40659375
transcript.pyannote[232].speaker SPEAKER_05
transcript.pyannote[232].start 674.52471875
transcript.pyannote[232].end 674.87909375
transcript.pyannote[233].speaker SPEAKER_03
transcript.pyannote[233].start 674.87909375
transcript.pyannote[233].end 676.93784375
transcript.pyannote[234].speaker SPEAKER_05
transcript.pyannote[234].start 674.91284375
transcript.pyannote[234].end 678.82784375
transcript.pyannote[235].speaker SPEAKER_03
transcript.pyannote[235].start 678.30471875
transcript.pyannote[235].end 683.19846875
transcript.pyannote[236].speaker SPEAKER_05
transcript.pyannote[236].start 681.39284375
transcript.pyannote[236].end 687.29909375
transcript.pyannote[237].speaker SPEAKER_03
transcript.pyannote[237].start 687.29909375
transcript.pyannote[237].end 687.94034375
transcript.pyannote[238].speaker SPEAKER_05
transcript.pyannote[238].start 687.48471875
transcript.pyannote[238].end 687.78846875
transcript.pyannote[239].speaker SPEAKER_02
transcript.pyannote[239].start 687.94034375
transcript.pyannote[239].end 688.22721875
transcript.whisperx[0].start 3.461
transcript.whisperx[0].end 14.087
transcript.whisperx[0].text 謝謝主席主席請速發部林部長請林部長然後請國家通信重播委員會黃祖密請黃文哲祖密委員早安部長早祖密早這個最近今天已經開始要發這個1萬塊是那我看了一下
transcript.whisperx[1].start 29.19
transcript.whisperx[1].end 50.116
transcript.whisperx[1].text 我們最近有這個四個假的財政部網站曝光然後普發現金登記前先請認清楚網址那我們也做了宣導政府也做了宣導所以我們叫gov.tw才是真的網站對不對這個是我們一直在宣導好 來下一頁
transcript.whisperx[2].start 51.626
transcript.whisperx[2].end 66.292
transcript.whisperx[2].text 那部長跟祖密你們覺得這三個王子哪一個是真的哪一個哪些是假哪一個是真哪一個是假第三個絕對是假的你一個一個來我等一下會問祖密祖密先回答好了第一個第一個應該第一個應該是真的啦第二個的話應該是假的第三個的話
transcript.whisperx[3].start 84.768
transcript.whisperx[3].end 92.913
transcript.whisperx[3].text 第三個可能很難判斷 我們現場還有內政部有來嘛那個視察你覺得哪一個是真的哪一個是假的E3啦 你認為E3是真的那E3還是E2只有E是真的 那能源署呢
transcript.whisperx[4].start 116.173
transcript.whisperx[4].end 143.835
transcript.whisperx[4].text 可能都是假的好現場有覺得除了一是真的之外第二個覺得是真的人請舉手第二個政府宣傳嘛gov.tw是真的網站第二個認為有沒有是真的第二個認為是假的舉手好所以有人遲疑啦沒有舉手嘛有人真的也沒舉手假的也沒舉手換一隻不大知道是真假
transcript.whisperx[5].start 145.406
transcript.whisperx[5].end 174.326
transcript.whisperx[5].text 部長你覺得哪一個是真的只有第一個是真的其他都是假的部長你不能錯其他很錯這樣我壓力很大對你絕對不能錯你錯了這個點就丟大但是我現在用目視判斷第一個是真的第三個是假的第二個我會回去確認因為我要確認他的那個他的那個字型會不會gov其實那是個0或者怎麼樣就有一些trick有一些
transcript.whisperx[6].start 175.026
transcript.whisperx[6].end 197.459
transcript.whisperx[6].text 那個技巧他就是Gov我現在就可以告訴你他就是Gov應該就是前面Gov是第二個已經是字幕錄了這邊那個字幕錄是t.ly對你覺得呢這個Domain是真的那前面那個加的那個看起來有點可疑所以你第二個你覺得是假的
transcript.whisperx[7].start 199.534
transcript.whisperx[7].end 220.403
transcript.whisperx[7].text 還是不能夠確定我們做事情的方法我們那個就是科學家的方法就是在去確定我跟大家公布答案只有第一個是真的另外兩個都是假的另外兩個是假的這個是之前之前不是發現金就之前這個監理站用監理站專門在騙大家點進去繳費的
transcript.whisperx[8].start 224.226
transcript.whisperx[8].end 252.806
transcript.whisperx[8].text 的釣魚網站那第二個為什麼是假的因為他那個gov.tw不是在前面所以他在斜線後面這是假的這是你們過去啦這是我拿過去的東西拿來問你們好啦部長你看齁連你對第二個你都要回去查證一下現場我們很多政府的同仁們也都不是太確定部長你覺得一個一般社會大眾是
transcript.whisperx[9].start 254.414
transcript.whisperx[9].end 274.444
transcript.whisperx[9].text 他怎麼知道他難道還要跟你一樣回去書法部查一下然後哪一個第二個是不是真或者是假是委員說的完全沒錯所以我們現在的宣傳是說不是說.gov普發現金的時候不是說只認gov.tl我們是講說所有的關於登記還有訊息還有那個發放的作業什麼都只在1100
transcript.whisperx[10].start 277.665
transcript.whisperx[10].end 299.993
transcript.whisperx[10].text .gov.tw就在這上面才會是真的然後另外這是我們的白名單策略另外一個黑名單策略就是我們在網站上我們就事先預防我們就把那個所有看起來很像譬如說把1000他寫的是1000的這些網站我們就事先做封阻所以我們就是努力把各種那個詐騙的管道就把它封阻住好 是
transcript.whisperx[11].start 301.158
transcript.whisperx[11].end 322.919
transcript.whisperx[11].text 我其實不是要請你上來解釋這個啦因為這個我們已經我講過嘛我對抒發部從我站在這個位置這個會期開始我就只有一個問題問你就打雜其他我沒有任何問過抒發部任何問題那為什麼這樣我一直在講這個事情一萬塊就要發了可是我們這個宣導啊我不認為大家懂
transcript.whisperx[12].start 325.532
transcript.whisperx[12].end 352.184
transcript.whisperx[12].text 我的做法我告訴家裡長輩的做法是就是政府另外領一萬塊的那兩個方法是譬如說你就直接零貴嘛是不然就ATM嘛是對不對是那這個實在是太困難啦是好主委你看我就講嘛我們大家都是政府我們都在宣導讓民眾知道哪一個是假的網站是但是我忽然告訴你就像你今天你此刻我發簡訊給你是
transcript.whisperx[13].start 354.312
transcript.whisperx[13].end 368.86
transcript.whisperx[13].text 我們的各位這個行政院的各位同仁發簡訊給大家各部會的同仁你能立刻知道要不要點你也很懷疑所以更不要講一般民眾所以部長認重道遠謝謝要搞這個普發現金為什麼這個
transcript.whisperx[14].start 372.222
transcript.whisperx[14].end 394.974
transcript.whisperx[14].text 四個假網站曝光不知道還有四十個還四百個沒有曝光嘛是沒錯可能此刻我在質詢的當下就有人正在受騙嘛是所以這個一萬塊啊要做這件事情就是說你要透過網站去做這個事情是速發部應該要有一個更審慎的規劃是你現在才在宣導是你宣導的狀況你看等於我們自己的
transcript.whisperx[15].start 395.774
transcript.whisperx[15].end 419.71
transcript.whisperx[15].text 政府的同仁都不是太確定都不是太確定所以呢你們一定要想個辦法啦不然你要做這個你就不要做你要有拿出速發部的做法好不好這就已經開始了我現在講已經有點慢了啦但是你看我隨便考一下這個你要宣導到大家去都去知道這個難度實在很高
transcript.whisperx[16].start 419.83
transcript.whisperx[16].end 448.509
transcript.whisperx[16].text 抱歉啦那個上場就像棒球員突然上場會緊張一下沒關係啦我沒有怪你你也沒有答錯啦你也不算答錯你只是說謹慎一下啦但是呢你看很明顯的這個謹慎只有你有辦法你是速發部長嘛一般民眾是沒有辦法有你謹沒有辦法這樣謹慎還有回去有速發部可以來問來去查沒有辦法OK那個祖密市區啊這個市場上都在大家都在煩惱因為市區的用戶現在還有一千多萬戶有啦
transcript.whisperx[17].start 450.851
transcript.whisperx[17].end 465.459
transcript.whisperx[17].text 這一千多萬戶不斷在擔心因為現在可能這個電信公司不斷在促銷5G所以大家接到這種叫大家去轉5G的電話就會感到有壓力或緊張4G是不是會停了會停止服務
transcript.whisperx[18].start 466.52
transcript.whisperx[18].end 473.204
transcript.whisperx[18].text 有沒有這個事情沒有沒有這個事情4G跟5G因為這個在技術上面上是標的雖然是5G的頻譜可是4G的服務其實還在持續這個應該是4G跟5G他講的是技術我應該問的是那個資費的方案沒有我只是問你說4G的服務不可以停止
transcript.whisperx[19].start 487.752
transcript.whisperx[19].end 510.474
transcript.whisperx[19].text 這個一千多萬怎麼可能因為你的電信公司在促銷或者在推廣的時候他的那個語氣會讓民眾覺得好像一副4G快不行了要大家都去改5G這個就是市場為什麼會有這個題目會跑出來消費者為什麼會擔心可能你要跟電信公司稍微再溝通一下啦不要造成這個誤解我覺得
transcript.whisperx[20].start 510.854
transcript.whisperx[20].end 536.903
transcript.whisperx[20].text 所以本席今天在這裡公開問你就是要從NCC的嘴巴告訴所有的消費者沒有這件事情喜歡5G的人就去辦5G因為資費那麼高嘛我們一般市井小民學生這些年輕朋友如果你的經濟能力有壓力的你辦4G絕對沒有問題可以繼續用那對於特殊需求的這些資費方案目前都還在持續當中對對對所以你這個要讓大家清楚喜歡5G的人可以說喜歡4G他還是有保障住啦然後呢這個
transcript.whisperx[21].start 540.322
transcript.whisperx[21].end 568.569
transcript.whisperx[21].text 接下來這個纜線啊那個部長這個纜線現在目前有三條正在修復當中對不對就是這個EAC1 TDM2跟TSE1對不對三條纜線在修復中是委員您現在應該是本部網站網易上的資料對對對對那這三條纜線在修復中目前沒有修如果還沒修復完成之前對誰的衝擊最大
transcript.whisperx[22].start 571.743
transcript.whisperx[22].end 594.671
transcript.whisperx[22].text 報委員目前為止台馬二號部分完全不用擔心因為台馬三號可以完全的替代掉所以完全不用擔心那至於EAC-1跟TS-1的話TS-1剛剛已經跟委員報告過那只是中間一根星段而已因為它大概十二星到六星也完全沒受影響那EAC-1的部分也有替代的路由所以大概目前為止影響不大以上報告
transcript.whisperx[23].start 595.011
transcript.whisperx[23].end 602.454
transcript.whisperx[23].text 好 那既然這樣我實在有一點搞混就是看起來好像都沒什麼影響那這三條到底要做什麼
transcript.whisperx[24].start 603.738
transcript.whisperx[24].end 622.188
transcript.whisperx[24].text 那不修會怎麼樣就是說我們把它修好了什麼就會變怎麼樣不修看起來我聽你們回答好像三條不修好像也不會怎樣這個基本上都是備援就像我們那個打棒球有一些板墊球員然後有人受傷了就換一個上去所以其實簡單講不修我們的備援就有問題
transcript.whisperx[25].start 625.79
transcript.whisperx[25].end 643.654
transcript.whisperx[25].text 是不是這樣但現行對我們消費者使用上面現行這此刻的狀態沒有任何太大的影響但備援很重要備援很重要那最後一個問題那什麼時候你們預計什麼時候可以修復除了第一條這個東東亞交會這個是114年11月28嘛你們預計修復日期嘛對不對是那其他兩條你寫評估中是怎麼樣是
transcript.whisperx[26].start 650.635
transcript.whisperx[26].end 678.52
transcript.whisperx[26].text 報告委員因為所有的海嵐在維修的時候都需要靠海嵐的國外的海嵐船團那這需要他們的評估因為國際上不是只有我們沒關係你只要大約告訴我譬如說一年內可不可以修復我只能跟委員報告說目前為止我看到的資料海嵐曾經在半年之內有維修的最長大概到半年之內會維修完成好這是最最最最長的最長對最長最長所以應該再怎麼樣也不可能拖到一兩年以上
transcript.whisperx[27].start 678.84
transcript.whisperx[27].end 685.744
transcript.whisperx[27].text 當然有時候有時候海象的關係啊那就是禁訴啦備援對國安也很重要啦好謝謝謝謝委員