Robbi (η½—ζ―”) | 9W2NSP

22 Followers
64 Following
637 Posts

RT @[email protected]

Now you can understand USA amateur radio callsigns
#hamradio #map #ft8

πŸ¦πŸ”—: https://twitter.com/9k2gv/status/1618261802785345536

Sal Al on Twitter

β€œNow you can understand USA amateur radio callsigns #hamradio #map #ft8”

Twitter

RT @[email protected]

The ID-52E is a VHF/UHF dual band handportable Amateur radio with D-STAR and FM dual mode functions. If you would like more details about this radio including links to brochures, manuals and video overview, visit: https://icomuk.co.uk/ID-52E-Dual-Band-D-STAR-Digital-Transceiver/Handheld_Amateur_Radio_Ham

#icom #hamradio #ID52

πŸ¦πŸ”—: https://twitter.com/Icom_UK/status/1618216644727435280

ID-52E : Amateur Radio Handheld (Ham) - Icom UK

The ID-52E is a VHF/UHF dual band radio with D-STAR and FM dual mode functions. The ID-52E supports conventional FM communications as well as D-STAR simplex, repeater, regional, and worldwide calls over the D-STAR Internet gateway. With the ID-52E, you can call a friend in another city, or even internationally through D-STAR repeaters, with digital clear audio. In addition, the ID-52E can send digital voice with data, text messages, GPS location information and pictures.

RT @[email protected]

Open-source, hackable amateur radio board #SOCORAD32 for walkie-talkie and data communication applications, Available on @[email protected]
https://www.tecnohub.org/2023/01/open-source-hackable-amateur-radio.html

πŸ¦πŸ”—: https://twitter.com/finexpofficial/status/1618928967557472256

Open-source, hackable amateur radio board SOCORAD32 for walkie-talkie and data communication applications

hackable walkie-talkie for amateur-radio exploration, voice communication, and data transmission using straightforward AT commands is SOCORAD32, also

Techno Hub

RT @[email protected]

πŸš€ http://kerja-IT.com is live – job board for tech jobs in Malaysia.

It scrape jobs from sites like lever(.co), greenhouse(.io) maukerja, hiredly, and more – daily!

Looking for kerja IT? – http://kerja-IT.com

πŸ¦πŸ”—: https://twitter.com/afrieirham_/status/1618545378303045632

Find Tech Jobs In Malaysia πŸ‡²πŸ‡Ύ | Kerja IT

Kerja IT (kerja-it.com) | Job board that source jobs daily from sites like workable.com, briohr.com, greenhouse.io, lever.co, hiredly.com, maukerja.my

Kerja IT

RT @[email protected]

A summary of the different API types πŸ‘‡

πŸ¦πŸ”—: https://twitter.com/Rapid_API/status/1618247043826212866

Rapid on Twitter

β€œA summary of the different API types πŸ‘‡β€

Twitter

RT @[email protected]

Final destination siellllllll batang besi tetiba melayang tembus cermin dekat seat penumpang…wtf scary

πŸ¦πŸ”—: https://twitter.com/IniAlalalannn/status/1614238508671209474

Alan on Twitter

β€œFinal destination siellllllll batang besi tetiba melayang tembus cermin dekat seat penumpang…wtf scary”

Twitter
Amende Sial? on Twitter

β€œKisah benar.”

Twitter

RT @[email protected]

When subtracting from a number with a lot of zeros, it may be easier to subtract one from both numbers, then subtract.

πŸ¦πŸ”—: https://twitter.com/howie_hua/status/1615800684397629440

Howie Hua on Twitter

β€œWhen subtracting from a number with a lot of zeros, it may be easier to subtract one from both numbers, then subtract.”

Twitter

RT @[email protected]

7 Langkah Memperbaiki Kewangan 2023

1. Letakkan matlamat
2. Bina mindset
3. Buat plan tindakan
4. Tingkatkan pendapatan
5. Urus wang dan belanja
6. Bina aset: Simpan & Labur
7. Pertahanan aset: Sedekah, Takaful, Cukai & Pusaka

πŸ¦πŸ”—: https://twitter.com/afyanIFP/status/1612974405382209539

RT @[email protected]

Accurate Pose Estimation Via WiFi Signals

"our model can estimate the dense pose of multiple subjects, with comparable performance to image-based approaches, by utilizing WiFi signals as the only input"

arxiv: https://arxiv.org/abs/2301.00250

πŸ¦πŸ”—: https://twitter.com/nearcyan/status/1615229929825656835

DensePose From WiFi

Advances in computer vision and machine learning techniques have led to significant development in 2D and 3D human pose estimation from RGB cameras, LiDAR, and radars. However, human pose estimation from images is adversely affected by occlusion and lighting, which are common in many scenarios of interest. Radar and LiDAR technologies, on the other hand, need specialized hardware that is expensive and power-intensive. Furthermore, placing these sensors in non-public areas raises significant privacy concerns. To address these limitations, recent research has explored the use of WiFi antennas (1D sensors) for body segmentation and key-point body detection. This paper further expands on the use of the WiFi signal in combination with deep learning architectures, commonly used in computer vision, to estimate dense human pose correspondence. We developed a deep neural network that maps the phase and amplitude of WiFi signals to UV coordinates within 24 human regions. The results of the study reveal that our model can estimate the dense pose of multiple subjects, with comparable performance to image-based approaches, by utilizing WiFi signals as the only input. This paves the way for low-cost, broadly accessible, and privacy-preserving algorithms for human sensing.

arXiv.org