home.social

#srt — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #srt, aggregated by home.social.

  1. South Korea's Transport Ministry launches pilot combined KTX-SRT train service on May 15, connecting trains from different operators to expand seating capacity by up to double and align fares with lower SRT pricing, marking a significant step toward full high-speed rail integration by September 2026.
    #YonhapInfomax #KTX #SRT #CombinedTrainService #TransportMinistry #HighSpeedRailIntegration #Economics #FinancialMarkets #Banking #Securities #Bonds #StockMarket
    en.infomaxai.com/news/articleV

  2. South Korea's Transport Ministry launches pilot combined KTX-SRT train service on May 15, connecting trains from different operators to expand seating capacity by up to double and align fares with lower SRT pricing, marking a significant step toward full high-speed rail integration by September 2026.
    #YonhapInfomax #KTX #SRT #CombinedTrainService #TransportMinistry #HighSpeedRailIntegration #Economics #FinancialMarkets #Banking #Securities #Bonds #StockMarket
    en.infomaxai.com/news/articleV

  3. South Korea's Transport Ministry launches pilot combined KTX-SRT train service on May 15, connecting trains from different operators to expand seating capacity by up to double and align fares with lower SRT pricing, marking a significant step toward full high-speed rail integration by September 2026.
    #YonhapInfomax #KTX #SRT #CombinedTrainService #TransportMinistry #HighSpeedRailIntegration #Economics #FinancialMarkets #Banking #Securities #Bonds #StockMarket
    en.infomaxai.com/news/articleV

  4. South Korea's Transport Ministry launches pilot combined KTX-SRT train service on May 15, connecting trains from different operators to expand seating capacity by up to double and align fares with lower SRT pricing, marking a significant step toward full high-speed rail integration by September 2026.
    #YonhapInfomax #KTX #SRT #CombinedTrainService #TransportMinistry #HighSpeedRailIntegration #Economics #FinancialMarkets #Banking #Securities #Bonds #StockMarket
    en.infomaxai.com/news/articleV

  5. Stellantis picks Drive for Design 2026 winners

    AUBURN HILLS, Mich., May 1, 2026 /PRNewswire/ — Top student creators recognized for imagining the next generation of Street…
    #Netherlands #Nederland #NL #Europe #Europa #EU #Stellantis #Automotive #DriveForDesign #internship #NorthAmerica #SRT #STLA #studentdesigncontest
    europesays.com/netherlands/770

  6. archive DataHoarders

    markdown formatted

    A nice presentable DataHoarders archive has been created regarding the epstein files

    The archive is online accessible as given in the sources matrix.

    Even if the content is less interesting to you, the manner in which the front & backend end is built is quite interesting. I have interests in both backend and frontend programming & networking, thus think this is a treasure trove from both perspectives.

    YMMV

    When you glance through the wikipedia pages of Jeffrey you will find interesting tidbits of his nature rise and fall. When you read it multiple times you will know more than you may want to about this man, enabled by different forces to flourish in his behavour. Go in with a neutral mind and read the sources, go there if you want to know more.

    The wikipedia dbase of epstein is LONG the data ammount is massive. Don't expect to even glance over it in just a few minutes.

    There are 305 references in this document

    When you go to this datahoarders media archive you will have a pleasant representation of the visual and printed data as released by the USA DOJ

    Quotes from the archive creators:

    Hey! We are two college students and we just want to share the technical part of our project because you might appreciate it. The DOJ released the Epstein files and we decided to host the entire thing ourselves and build a proper interface on top of it. Here is what the archive actually looks like.

    354GB total. 160GB of raw data from the original files and 194GB of our own processed data. Around 600,000 PDF files which actually contain roughly 1,400,000 individual pages inside them since many PDFs bundle multiple pages together when you scroll down. All 3,200 videos have been converted to HLS with adaptive bitrate streaming so quality adjusts automatically to your connection the same way Netflix does it.

    For the videos we ran a full audio extraction pipeline, converting video to audio MP4 and then audio to text, generating SRT subtitle files for every single video that contains spoken content. This means you can search for a word that was spoken in any video and find the exact moment it was said

    For the PDFs we converted every single page to PNG and ran OCR across all 1,400,000 pages. We then used Go to run AI agents that analyze and summarize the OCR output across the documents. The search engine works through tags associated to each specific file, built on top of all that processed data.

    The frontend is React Native, infrastructure runs through Cloudflare.

    We also added the possibility for a user to make an anonymous account to like, add a comment and reply to others or make your own investigation post on our platform.

    We are not stopping here. There is still a lot to do and we are pushing updates constantly.

    Z

    Naturally ffmpeg / curl are crucial tool combo's for all this conversion fetch and serve to work smoothly, but I don't need to tell you that. There are many more tools used, go in read and learn!

    Sources:

    exposingepstein.com/home

    en.wikipedia.org/wiki/Jeffrey_

    reddit.com/r/DataHoarder/comme

    #programming #database #video #HLS #pdf #recoding #streaming #json #backend #frontend #react #srt #subtitles #FFMPEG

  7. archive DataHoarders

    markdown formatted

    A nice presentable DataHoarders archive has been created regarding the epstein files

    The archive is online accessible as given in the sources matrix.

    Even if the content is less interesting to you, the manner in which the front & backend end is built is quite interesting. I have interests in both backend and frontend programming & networking, thus think this is a treasure trove from both perspectives.

    YMMV

    When you glance through the wikipedia pages of Jeffrey you will find interesting tidbits of his nature rise and fall. When you read it multiple times you will know more than you may want to about this man, enabled by different forces to flourish in his behavour. Go in with a neutral mind and read the sources, go there if you want to know more.

    The wikipedia dbase of epstein is LONG the data ammount is massive. Don't expect to even glance over it in just a few minutes.

    There are 305 references in this document

    When you go to this datahoarders media archive you will have a pleasant representation of the visual and printed data as released by the USA DOJ

    Quotes from the archive creators:

    Hey! We are two college students and we just want to share the technical part of our project because you might appreciate it. The DOJ released the Epstein files and we decided to host the entire thing ourselves and build a proper interface on top of it. Here is what the archive actually looks like.

    354GB total. 160GB of raw data from the original files and 194GB of our own processed data. Around 600,000 PDF files which actually contain roughly 1,400,000 individual pages inside them since many PDFs bundle multiple pages together when you scroll down. All 3,200 videos have been converted to HLS with adaptive bitrate streaming so quality adjusts automatically to your connection the same way Netflix does it.

    For the videos we ran a full audio extraction pipeline, converting video to audio MP4 and then audio to text, generating SRT subtitle files for every single video that contains spoken content. This means you can search for a word that was spoken in any video and find the exact moment it was said

    For the PDFs we converted every single page to PNG and ran OCR across all 1,400,000 pages. We then used Go to run AI agents that analyze and summarize the OCR output across the documents. The search engine works through tags associated to each specific file, built on top of all that processed data.

    The frontend is React Native, infrastructure runs through Cloudflare.

    We also added the possibility for a user to make an anonymous account to like, add a comment and reply to others or make your own investigation post on our platform.

    We are not stopping here. There is still a lot to do and we are pushing updates constantly.

    Z

    Naturally ffmpeg / curl are crucial tool combo's for all this conversion fetch and serve to work smoothly, but I don't need to tell you that. There are many more tools used, go in read and learn!

    Sources:

    exposingepstein.com/home

    en.wikipedia.org/wiki/Jeffrey_

    reddit.com/r/DataHoarder/comme

    #programming #database #video #HLS #pdf #recoding #streaming #json #backend #frontend #react #srt #subtitles #FFMPEG

  8. archive DataHoarders

    markdown formatted

    A nice presentable DataHoarders archive has been created regarding the epstein files

    The archive is online accessible as given in the sources matrix.

    Even if the content is less interesting to you, the manner in which the front & backend end is built is quite interesting. I have interests in both backend and frontend programming & networking, thus think this is a treasure trove from both perspectives.

    YMMV

    When you glance through the wikipedia pages of Jeffrey you will find interesting tidbits of his nature rise and fall. When you read it multiple times you will know more than you may want to about this man, enabled by different forces to flourish in his behavour. Go in with a neutral mind and read the sources, go there if you want to know more.

    The wikipedia dbase of epstein is LONG the data ammount is massive. Don't expect to even glance over it in just a few minutes.

    There are 305 references in this document

    When you go to this datahoarders media archive you will have a pleasant representation of the visual and printed data as released by the USA DOJ

    Quotes from the archive creators:

    Hey! We are two college students and we just want to share the technical part of our project because you might appreciate it. The DOJ released the Epstein files and we decided to host the entire thing ourselves and build a proper interface on top of it. Here is what the archive actually looks like.

    354GB total. 160GB of raw data from the original files and 194GB of our own processed data. Around 600,000 PDF files which actually contain roughly 1,400,000 individual pages inside them since many PDFs bundle multiple pages together when you scroll down. All 3,200 videos have been converted to HLS with adaptive bitrate streaming so quality adjusts automatically to your connection the same way Netflix does it.

    For the videos we ran a full audio extraction pipeline, converting video to audio MP4 and then audio to text, generating SRT subtitle files for every single video that contains spoken content. This means you can search for a word that was spoken in any video and find the exact moment it was said

    For the PDFs we converted every single page to PNG and ran OCR across all 1,400,000 pages. We then used Go to run AI agents that analyze and summarize the OCR output across the documents. The search engine works through tags associated to each specific file, built on top of all that processed data.

    The frontend is React Native, infrastructure runs through Cloudflare.

    We also added the possibility for a user to make an anonymous account to like, add a comment and reply to others or make your own investigation post on our platform.

    We are not stopping here. There is still a lot to do and we are pushing updates constantly.

    Z

    Naturally ffmpeg / curl are crucial tool combo's for all this conversion fetch and serve to work smoothly, but I don't need to tell you that. There are many more tools used, go in read and learn!

    Sources:

    exposingepstein.com/home

    en.wikipedia.org/wiki/Jeffrey_

    reddit.com/r/DataHoarder/comme

    #programming #database #video #HLS #pdf #recoding #streaming #json #backend #frontend #react #srt #subtitles #FFMPEG

  9. archive DataHoarders

    markdown formatted

    A nice presentable DataHoarders archive has been created regarding the epstein files

    The archive is online accessible as given in the sources matrix.

    Even if the content is less interesting to you, the manner in which the front & backend end is built is quite interesting. I have interests in both backend and frontend programming & networking, thus think this is a treasure trove from both perspectives.

    YMMV

    When you glance through the wikipedia pages of Jeffrey you will find interesting tidbits of his nature rise and fall. When you read it multiple times you will know more than you may want to about this man, enabled by different forces to flourish in his behavour. Go in with a neutral mind and read the sources, go there if you want to know more.

    The wikipedia dbase of epstein is LONG the data ammount is massive. Don't expect to even glance over it in just a few minutes.

    There are 305 references in this document

    When you go to this datahoarders media archive you will have a pleasant representation of the visual and printed data as released by the USA DOJ

    Quotes from the archive creators:

    Hey! We are two college students and we just want to share the technical part of our project because you might appreciate it. The DOJ released the Epstein files and we decided to host the entire thing ourselves and build a proper interface on top of it. Here is what the archive actually looks like.

    354GB total. 160GB of raw data from the original files and 194GB of our own processed data. Around 600,000 PDF files which actually contain roughly 1,400,000 individual pages inside them since many PDFs bundle multiple pages together when you scroll down. All 3,200 videos have been converted to HLS with adaptive bitrate streaming so quality adjusts automatically to your connection the same way Netflix does it.

    For the videos we ran a full audio extraction pipeline, converting video to audio MP4 and then audio to text, generating SRT subtitle files for every single video that contains spoken content. This means you can search for a word that was spoken in any video and find the exact moment it was said

    For the PDFs we converted every single page to PNG and ran OCR across all 1,400,000 pages. We then used Go to run AI agents that analyze and summarize the OCR output across the documents. The search engine works through tags associated to each specific file, built on top of all that processed data.

    The frontend is React Native, infrastructure runs through Cloudflare.

    We also added the possibility for a user to make an anonymous account to like, add a comment and reply to others or make your own investigation post on our platform.

    We are not stopping here. There is still a lot to do and we are pushing updates constantly.

    Z

    Naturally ffmpeg / curl are crucial tool combo's for all this conversion fetch and serve to work smoothly, but I don't need to tell you that. There are many more tools used, go in read and learn!

    Sources:

    exposingepstein.com/home

    en.wikipedia.org/wiki/Jeffrey_

    reddit.com/r/DataHoarder/comme

    #programming #database #video #HLS #pdf #recoding #streaming #json #backend #frontend #react #srt #subtitles #FFMPEG

  10. archive DataHoarders

    markdown formatted

    A nice presentable DataHoarders archive has been created regarding the epstein files

    The archive is online accessible as given in the sources matrix.

    Even if the content is less interesting to you, the manner in which the front & backend end is built is quite interesting. I have interests in both backend and frontend programming & networking, thus think this is a treasure trove from both perspectives.

    YMMV

    When you glance through the wikipedia pages of Jeffrey you will find interesting tidbits of his nature rise and fall. When you read it multiple times you will know more than you may want to about this man, enabled by different forces to flourish in his behavour. Go in with a neutral mind and read the sources, go there if you want to know more.

    The wikipedia dbase of epstein is LONG the data ammount is massive. Don't expect to even glance over it in just a few minutes.

    There are 305 references in this document

    When you go to this datahoarders media archive you will have a pleasant representation of the visual and printed data as released by the USA DOJ

    Quotes from the archive creators:

    Hey! We are two college students and we just want to share the technical part of our project because you might appreciate it. The DOJ released the Epstein files and we decided to host the entire thing ourselves and build a proper interface on top of it. Here is what the archive actually looks like.

    354GB total. 160GB of raw data from the original files and 194GB of our own processed data. Around 600,000 PDF files which actually contain roughly 1,400,000 individual pages inside them since many PDFs bundle multiple pages together when you scroll down. All 3,200 videos have been converted to HLS with adaptive bitrate streaming so quality adjusts automatically to your connection the same way Netflix does it.

    For the videos we ran a full audio extraction pipeline, converting video to audio MP4 and then audio to text, generating SRT subtitle files for every single video that contains spoken content. This means you can search for a word that was spoken in any video and find the exact moment it was said

    For the PDFs we converted every single page to PNG and ran OCR across all 1,400,000 pages. We then used Go to run AI agents that analyze and summarize the OCR output across the documents. The search engine works through tags associated to each specific file, built on top of all that processed data.

    The frontend is React Native, infrastructure runs through Cloudflare.

    We also added the possibility for a user to make an anonymous account to like, add a comment and reply to others or make your own investigation post on our platform.

    We are not stopping here. There is still a lot to do and we are pushing updates constantly.

    Z

    Naturally ffmpeg / curl are crucial tool combo's for all this conversion fetch and serve to work smoothly, but I don't need to tell you that. There are many more tools used, go in read and learn!

    Sources:

    exposingepstein.com/home

    en.wikipedia.org/wiki/Jeffrey_

    reddit.com/r/DataHoarder/comme

    #programming #database #video #HLS #pdf #recoding #streaming #json #backend #frontend #react #srt #subtitles #FFMPEG

  11. Leichte Einkürzung einer Walnuss (Juglans regia). Vorher - Nachher
    Zur rechten Seiten wurde etwas Gewicht reduziert.
    #Baumpflege #Seilklettertechnik #SKT #SRT

  12. Drohnen-Live-Streaming 2026: So wird aus Luftaufnahmen ein stabiler Stream! 🛸📡

    livespotting macht DJI-Hardware sendesicher:
    🔹 Robust: SRT & 5G gegen Paketverlust.
    🔹 Skalierbar: HLS & adaptive Bitrate für tausende Viewer.
    🔹 Pro-Workflows: DJI Fly vs. externe Encoder.
    🔹 Sicher: Recht & Datenschutz im Blick.

    Vom Ingest zur Ausspielung – stabil und professionell.

    👉 Zum Guide: livespotting.com/de/blog/dji-d

    #livespotting #DJI #LiveStream #SRT #DroneTech

  13. Drohnen-Live-Streaming 2026: So wird aus Luftaufnahmen ein stabiler Stream! 🛸📡

    livespotting macht DJI-Hardware sendesicher:
    🔹 Robust: SRT & 5G gegen Paketverlust.
    🔹 Skalierbar: HLS & adaptive Bitrate für tausende Viewer.
    🔹 Pro-Workflows: DJI Fly vs. externe Encoder.
    🔹 Sicher: Recht & Datenschutz im Blick.

    Vom Ingest zur Ausspielung – stabil und professionell.

    👉 Zum Guide: livespotting.com/de/blog/dji-d

    #livespotting #DJI #LiveStream #SRT #DroneTech

  14. En los primeros 2 años de Milei se destruyeron 21.938 empresas

    Según datos de la Superintendencia de Riesgos del Trabajo, desde noviembre de 2023 hasta noviembre de 2025 se registró una sensible destrucción del entramado productivo y laboral:

    🔸 21.938 empresas menos (892 en noviembre)

    🔸 290.600 puestos de trabajo registrados perdidos (17.993 en noviembre)

    vía Julia Strada (CEPA)

    #argentina #Milei #ParoNacional #despidos #empresas #trabajo #CEPA #SRT #trabajadores

  15. En los primeros 2 años de Milei se destruyeron 21.938 empresas

    Según datos de la Superintendencia de Riesgos del Trabajo, desde noviembre de 2023 hasta noviembre de 2025 se registró una sensible destrucción del entramado productivo y laboral:

    🔸 21.938 empresas menos (892 en noviembre)

    🔸 290.600 puestos de trabajo registrados perdidos (17.993 en noviembre)

    vía Julia Strada (CEPA)

    #argentina #Milei #ParoNacional #despidos #empresas #trabajo #CEPA #SRT #trabajadores

  16. En los primeros 2 años de Milei se destruyeron 21.938 empresas

    Según datos de la Superintendencia de Riesgos del Trabajo, desde noviembre de 2023 hasta noviembre de 2025 se registró una sensible destrucción del entramado productivo y laboral:

    🔸 21.938 empresas menos (892 en noviembre)

    🔸 290.600 puestos de trabajo registrados perdidos (17.993 en noviembre)

    vía Julia Strada (CEPA)

    #argentina #Milei #ParoNacional #despidos #empresas #trabajo #CEPA #SRT #trabajadores

  17. En los primeros 2 años de Milei se destruyeron 21.938 empresas

    Según datos de la Superintendencia de Riesgos del Trabajo, desde noviembre de 2023 hasta noviembre de 2025 se registró una sensible destrucción del entramado productivo y laboral:

    🔸 21.938 empresas menos (892 en noviembre)

    🔸 290.600 puestos de trabajo registrados perdidos (17.993 en noviembre)

    vía Julia Strada (CEPA)

    #argentina #Milei #ParoNacional #despidos #empresas #trabajo #CEPA #SRT #trabajadores

  18. En los primeros 2 años de Milei se destruyeron 21.938 empresas

    Según datos de la Superintendencia de Riesgos del Trabajo, desde noviembre de 2023 hasta noviembre de 2025 se registró una sensible destrucción del entramado productivo y laboral:

    🔸 21.938 empresas menos (892 en noviembre)

    🔸 290.600 puestos de trabajo registrados perdidos (17.993 en noviembre)

    vía Julia Strada (CEPA)

    #argentina #Milei #ParoNacional #despidos #empresas #trabajo #CEPA #SRT #trabajadores

  19. Water Struggles as Resistance to Neoliberal Capitalism, A time of reproductive unrest, Moore M, 2023,

    "This book provides an important intervention into social reproduction theory and the politics of water...As an important analysis of two significant water struggles, the book makes a compelling argument for integrating the study of social movements within critical political economy."
    >>
    manchesteruniversitypress.co.u

    A time of reproductive unrest, Madelaine Moore
    "Drawing on the rich history of social reproduction theory (SRT), the book situates struggles over water within an account of capitalism that emphasises the continuing relevance of expropriation...Via an engagement with the Irish water charges protests and resistance to unconventional gas in Australia, the work explores the tension between life-making and profit-making that defines the new water commodity frontier. "
    >>
    dx.doi.org/10.7765/97815261659
    #water #WaterGrabbing #extractivism #contestation #SocialReproduction #ReproductiveUnrest #SRT #CommodificationOfNature #CommonGood #biodiversity #Australia #drought #MDB #PE #book

  20. Water Struggles as Resistance to Neoliberal Capitalism, A time of reproductive unrest, Moore M, 2023,

    "This book provides an important intervention into social reproduction theory and the politics of water...As an important analysis of two significant water struggles, the book makes a compelling argument for integrating the study of social movements within critical political economy."
    >>
    manchesteruniversitypress.co.u

    A time of reproductive unrest, Madelaine Moore
    "Drawing on the rich history of social reproduction theory (SRT), the book situates struggles over water within an account of capitalism that emphasises the continuing relevance of expropriation...Via an engagement with the Irish water charges protests and resistance to unconventional gas in Australia, the work explores the tension between life-making and profit-making that defines the new water commodity frontier. "
    >>
    dx.doi.org/10.7765/97815261659
    #water #WaterGrabbing #extractivism #contestation #SocialReproduction #ReproductiveUnrest #SRT #CommodificationOfNature #CommonGood #biodiversity #Australia #drought #MDB #PE #book

  21. Water Struggles as Resistance to Neoliberal Capitalism, A time of reproductive unrest, Moore M, 2023,

    "This book provides an important intervention into social reproduction theory and the politics of water...As an important analysis of two significant water struggles, the book makes a compelling argument for integrating the study of social movements within critical political economy."
    >>
    manchesteruniversitypress.co.u

    A time of reproductive unrest, Madelaine Moore
    "Drawing on the rich history of social reproduction theory (SRT), the book situates struggles over water within an account of capitalism that emphasises the continuing relevance of expropriation...Via an engagement with the Irish water charges protests and resistance to unconventional gas in Australia, the work explores the tension between life-making and profit-making that defines the new water commodity frontier. "
    >>
    dx.doi.org/10.7765/97815261659
    #water #WaterGrabbing #extractivism #contestation #SocialReproduction #ReproductiveUnrest #SRT #CommodificationOfNature #CommonGood #biodiversity #Australia #drought #MDB #PE #book

  22. Water Struggles as Resistance to Neoliberal Capitalism, A time of reproductive unrest, Moore M, 2023,

    "This book provides an important intervention into social reproduction theory and the politics of water...As an important analysis of two significant water struggles, the book makes a compelling argument for integrating the study of social movements within critical political economy."
    >>
    manchesteruniversitypress.co.u

    A time of reproductive unrest, Madelaine Moore
    "Drawing on the rich history of social reproduction theory (SRT), the book situates struggles over water within an account of capitalism that emphasises the continuing relevance of expropriation...Via an engagement with the Irish water charges protests and resistance to unconventional gas in Australia, the work explores the tension between life-making and profit-making that defines the new water commodity frontier. "
    >>
    dx.doi.org/10.7765/97815261659
    #water #WaterGrabbing #extractivism #contestation #SocialReproduction #ReproductiveUnrest #SRT #CommodificationOfNature #CommonGood #biodiversity #Australia #drought #MDB #PE #book

  23. Water Struggles as Resistance to Neoliberal Capitalism, A time of reproductive unrest, Moore M, 2023,

    "This book provides an important intervention into social reproduction theory and the politics of water...As an important analysis of two significant water struggles, the book makes a compelling argument for integrating the study of social movements within critical political economy."
    >>
    manchesteruniversitypress.co.u

    A time of reproductive unrest, Madelaine Moore
    "Drawing on the rich history of social reproduction theory (SRT), the book situates struggles over water within an account of capitalism that emphasises the continuing relevance of expropriation...Via an engagement with the Irish water charges protests and resistance to unconventional gas in Australia, the work explores the tension between life-making and profit-making that defines the new water commodity frontier. "
    >>
    dx.doi.org/10.7765/97815261659
    #water #WaterGrabbing #extractivism #contestation #SocialReproduction #ReproductiveUnrest #SRT #CommodificationOfNature #CommonGood #biodiversity #Australia #drought #MDB #PE #book

  24. 沿線は“カメラの列”!? 名古屋の「金の巨大バス」運行スタート!驚異の収容力で繁華街の混雑を救うか? – 乗りものニュース yayafa.com/2722824/ #business #SRT #バズ #ビジネス #名古屋駅 #名鉄バス #愛知県 #栄駅 #路線バス #連節バス

  25. 沿線は“カメラの列”!? 名古屋の「金の巨大バス」運行スタート!驚異の収容力で繁華街の混雑を救うか? – 乗りものニュース yayafa.com/2722824/ #business #SRT #バズ #ビジネス #名古屋駅 #名鉄バス #愛知県 #栄駅 #路線バス #連節バス

  26. 沿線は“カメラの列”!? 名古屋の「金の巨大バス」運行スタート!驚異の収容力で繁華街の混雑を救うか? – 乗りものニュース yayafa.com/2722824/ #business #SRT #バズ #ビジネス #名古屋駅 #名鉄バス #愛知県 #栄駅 #路線バス #連節バス

  27. 沿線は“カメラの列”!? 名古屋の「金の巨大バス」運行スタート!驚異の収容力で繁華街の混雑を救うか? – 乗りものニュース yayafa.com/2722824/ #business #SRT #バズ #ビジネス #名古屋駅 #名鉄バス #愛知県 #栄駅 #路線バス #連節バス

  28. Stabiles Outdoor-Streaming braucht die richtige Protokollkette: 🎥📡

    🔹 RTSP: Signal-Pull direkt aus der Kamera.
    🔹 SRT: Fehlerresistente Übertragung bei instabilen Leitungen (Paketverlust-Ausgleich).
    🔹 RTMP: Kompatibilität für Ingest & Partner-Systeme.
    🔹 HLS/DASH: Skalierbare CDN-Auslieferung für tausende Viewer.

    Wie wir diese Protokolle für maximale Ausfallsicherheit kombinieren, erfahrt ihr im Blog: livespotting.com/de/blog/strea

    #livespotting #Streaming #SRT #RTSP #HLS #Networking

  29. Stabiles Outdoor-Streaming braucht die richtige Protokollkette: 🎥📡

    🔹 RTSP: Signal-Pull direkt aus der Kamera.
    🔹 SRT: Fehlerresistente Übertragung bei instabilen Leitungen (Paketverlust-Ausgleich).
    🔹 RTMP: Kompatibilität für Ingest & Partner-Systeme.
    🔹 HLS/DASH: Skalierbare CDN-Auslieferung für tausende Viewer.

    Wie wir diese Protokolle für maximale Ausfallsicherheit kombinieren, erfahrt ihr im Blog: livespotting.com/de/blog/strea

    #livespotting #Streaming #SRT #RTSP #HLS #Networking

  30. wacoca.com/news/2762293/ 近未来システム「SRT」に試乗! 名古屋の移動はどう変わる? 驚異の“18m超ロング車体”には常識覆す「座席配置」まで – 乗りものニュース #Business #BusinessNews #LRT #SRT #パス #ビジネス #名古屋駅 #名鉄バス #愛知県 #栄駅 #路面電車 #鉄道

  31. wacoca.com/news/2762293/ 近未来システム「SRT」に試乗! 名古屋の移動はどう変わる? 驚異の“18m超ロング車体”には常識覆す「座席配置」まで – 乗りものニュース #Business #BusinessNews #LRT #SRT #パス #ビジネス #名古屋駅 #名鉄バス #愛知県 #栄駅 #路面電車 #鉄道

  32. wacoca.com/news/2762293/ 近未来システム「SRT」に試乗! 名古屋の移動はどう変わる? 驚異の“18m超ロング車体”には常識覆す「座席配置」まで – 乗りものニュース #Business #BusinessNews #LRT #SRT #パス #ビジネス #名古屋駅 #名鉄バス #愛知県 #栄駅 #路面電車 #鉄道

  33. wacoca.com/news/2762293/ 近未来システム「SRT」に試乗! 名古屋の移動はどう変わる? 驚異の“18m超ロング車体”には常識覆す「座席配置」まで – 乗りものニュース #Business #BusinessNews #LRT #SRT #パス #ビジネス #名古屋駅 #名鉄バス #愛知県 #栄駅 #路面電車 #鉄道

  34. wacoca.com/news/2762293/ 近未来システム「SRT」に試乗! 名古屋の移動はどう変わる? 驚異の“18m超ロング車体”には常識覆す「座席配置」まで – 乗りものニュース #Business #BusinessNews #LRT #SRT #パス #ビジネス #名古屋駅 #名鉄バス #愛知県 #栄駅 #路面電車 #鉄道

  35. walknews.com/1198517/ 近未来システム「SRT」に試乗! 名古屋の移動はどう変わる? 驚異の“18m超ロング車体”には常識覆す「座席配置」まで – 乗りものニュース #Business #LRT #SRT #バス #ビジネス #名古屋駅 #名鉄バス #愛知県 #栄駅 #路面電車 #鉄道