This SON tutorial is part of the 3GPP Self-Organizing Networks series (#3GPPSONSeries). In this part we will look at Random Access Channel (RACH) Optimization
All our #3G4G5G slides and videos are available at:
Videos: https://www.youtube.com/3G4G5G
Slides: https://www.slideshare.net/3G4GLtd
5G Page: https://www.3g4g.co.uk/5G/
Free Training Videos: https://www.3g4g.co.uk/Training/
SON Page: https://www.3g4g.co.uk/SON/
This updated presentation/video looks at 5G Network Architecture options that have been proposed by 3GPP for deployment of 5G. It covers the Standalone (SA) and Non-Standalone (NSA) architecture. In the NSA architecture, EN-DC (E-UTRA-NR Dual Connectivity), NGEN-DC (NG-RAN E-UTRA-NR Dual Connectivity) and NE-DC (NR-E-UTRA Dual Connectivity) has been looked at. Finally, migration strategies proposed by vendors and operators (MNOs / SPs) have been discussed.
Presented by Andy Sutton, Principal Network Architect - Chief Architect’s Office, TSO, BT at IET "Towards 5G Mobile Technology – Vision to Reality" seminar on 25th Jan 2017
Shared with permission
This SON tutorial is part of the 3GPP Self-Organizing Networks series (#3GPPSONSeries). In this part we will look at Random Access Channel (RACH) Optimization
All our #3G4G5G slides and videos are available at:
Videos: https://www.youtube.com/3G4G5G
Slides: https://www.slideshare.net/3G4GLtd
5G Page: https://www.3g4g.co.uk/5G/
Free Training Videos: https://www.3g4g.co.uk/Training/
SON Page: https://www.3g4g.co.uk/SON/
This updated presentation/video looks at 5G Network Architecture options that have been proposed by 3GPP for deployment of 5G. It covers the Standalone (SA) and Non-Standalone (NSA) architecture. In the NSA architecture, EN-DC (E-UTRA-NR Dual Connectivity), NGEN-DC (NG-RAN E-UTRA-NR Dual Connectivity) and NE-DC (NR-E-UTRA Dual Connectivity) has been looked at. Finally, migration strategies proposed by vendors and operators (MNOs / SPs) have been discussed.
Presented by Andy Sutton, Principal Network Architect - Chief Architect’s Office, TSO, BT at IET "Towards 5G Mobile Technology – Vision to Reality" seminar on 25th Jan 2017
Shared with permission
Simplified Call Flow Signaling: Registration - The Attach Procedure3G4G
This presentation/video provides an example of the registration procedure. The device or UE needs to let the core network(s) know that it is switched on and active. This procedure is known as registration. The UE can register individually to the CS and PS core networks. Most modern networks allow combined registration (or combined attach) whereby the UE registers only to the PS network and the PS network informs the CS network that the UE is active.
Advanced: Control and User Plane Separation of EPC nodes (CUPS)3G4G
This presentation looks at Control and User Plane Separation of EPC nodes (CUPS) which was completed by 3GPP as part of Release 14 specifications and is set to be a key core network feature for many operators.
CUPS provides the architecture enhancements for the separation of functionality in the Evolved Packet Core’s SGW, PGW and TDF. This enables flexible network deployment and operation, by distributed or centralized deployment and the independent scaling between control plane and user plane functions - while not affecting the functionality of the existing nodes subject to this split.
Simplified Call Flow Signaling: Registration - The Attach Procedure3G4G
This presentation/video provides an example of the registration procedure. The device or UE needs to let the core network(s) know that it is switched on and active. This procedure is known as registration. The UE can register individually to the CS and PS core networks. Most modern networks allow combined registration (or combined attach) whereby the UE registers only to the PS network and the PS network informs the CS network that the UE is active.
Advanced: Control and User Plane Separation of EPC nodes (CUPS)3G4G
This presentation looks at Control and User Plane Separation of EPC nodes (CUPS) which was completed by 3GPP as part of Release 14 specifications and is set to be a key core network feature for many operators.
CUPS provides the architecture enhancements for the separation of functionality in the Evolved Packet Core’s SGW, PGW and TDF. This enables flexible network deployment and operation, by distributed or centralized deployment and the independent scaling between control plane and user plane functions - while not affecting the functionality of the existing nodes subject to this split.
次世代の主要車載ネットワークと注目される車載Ethernetについて、その動向及び技術的概要を解説します。 特にBroadcom社により策定された車載Ethernet規格BroadR-Reach®を中心に、CANなど既存の車載ネットワークとの違いやその特長、またTCP/IP技術及びAudio Video Bridging(AVB)に関して解説します。
3GPP 5G NSA Detailed explanation 3(EN-DC Access Issues and Possible Causes Co...Ryuichi Yasunaga
3GPP 5G NSA Detailed explanation (EN-DC Access Issues and Possible Causes Considerations)
・A hands-on resource for mobile engineers
※written in Japanese
セル生産方式におけるロボットの活用には様々な問題があるが,その一つとして 3 体以上の物体の組み立てが挙げられる.一般に,複数物体を同時に組み立てる際は,対象の部品をそれぞれロボットアームまたは治具でそれぞれ独立に保持することで組み立てを遂行すると考えられる.ただし,この方法ではロボットアームや治具を部品数と同じ数だけ必要とし,部品数が多いほどコスト面や設置スペースの関係で無駄が多くなる.この課題に対して音𣷓らは組み立て対象物に働く接触力等の解析により,治具等で固定されていない対象物が組み立て作業中に運動しにくい状態となる条件を求めた.すなわち,環境中の非把持対象物のロバスト性を考慮して,組み立て作業条件を検討している.本研究ではこの方策に基づいて,複数物体の組み立て作業を単腕マニピュレータで実行することを目的とする.このとき,対象物のロバスト性を考慮することで,仮組状態の複数物体を同時に扱う手法を提案する.作業対象としてパイプジョイントの組み立てを挙げ,簡易な道具を用いることで単腕マニピュレータで複数物体を同時に把持できることを示す.さらに,作業成功率の向上のために RGB-D カメラを用いた物体の位置検出に基づくロボット制御及び動作計画を実装する.
This paper discusses assembly operations using a single manipulator and a parallel gripper to simultaneously
grasp multiple objects and hold the group of temporarily assembled objects. Multiple robots and jigs generally operate
assembly tasks by constraining the target objects mechanically or geometrically to prevent them from moving. It is
necessary to analyze the physical interaction between the objects for such constraints to achieve the tasks with a single
gripper. In this paper, we focus on assembling pipe joints as an example and discuss constraining the motion of the
objects. Our demonstration shows that a simple tool can facilitate holding multiple objects with a single gripper.
【DLゼミ】XFeat: Accelerated Features for Lightweight Image Matchingharmonylab
公開URL:https://arxiv.org/pdf/2404.19174
出典:Guilherme Potje, Felipe Cadar, Andre Araujo, Renato Martins, Erickson R. ascimento: XFeat: Accelerated Features for Lightweight Image Matching, Proceedings of the 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
概要:リソース効率に優れた特徴点マッチングのための軽量なアーキテクチャ「XFeat(Accelerated Features)」を提案します。手法は、局所的な特徴点の検出、抽出、マッチングのための畳み込みニューラルネットワークの基本的な設計を再検討します。特に、リソースが限られたデバイス向けに迅速かつ堅牢なアルゴリズムが必要とされるため、解像度を可能な限り高く保ちながら、ネットワークのチャネル数を制限します。さらに、スパース下でのマッチングを選択できる設計となっており、ナビゲーションやARなどのアプリケーションに適しています。XFeatは、高速かつ同等以上の精度を実現し、一般的なラップトップのCPU上でリアルタイムで動作します。