Journey to an Intelligent Industrial Network - Pino de Candia, CTO MidokuraMidokura
There are 66 million network cameras capturing terabytes of data. How did factories in Japan improve physical security at the facilities and improve employee productivity?
During his session at the Open IOT Summit, Pino de Candia, CTO of Midokura, shared examples drawn from real IIoT use cases and discussed the variety of operations and maintenance tools to support proactive, policy-based flow analysis for edge computing or fog nodes.
Midokura Enterprise MidoNet is a commercial product combining the most stable, production-hardened version of MidoNet for Network Virtualization with MidoNet Manager, longer term support and enterprise class 24X7 service level agreement.
MidoNet is an open source, software-only, highly scalable and resilient, network virtualization system. With its distributed architecture it allows enterprises and service providers to build, run, and manage virtual networks at scale with increased control, security and flexibility.
MidoNet is an open, software-only, highly scalable and resilient, network virtualization system. With its distributed architecture it allows enterprises and service providers to build, run, and manage virtual networks at scale with increased control, security and flexibility.
MidoNet allows users to build isolated networks in software and overlays the existing network hardware infrastructure.
http://www.midokura.com/
Network Virtualization with MidoNet in CloudStackMidokura
Network Virtualization with MidoNet in CloudStack
Presented at CloudStack Collaboration Conference, June 2013 in Santa Clara, by Yoshi Tamura and Dave Cahill
【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。
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.
5. MidoNet
Network
VirtualizaCon
PlaEorm
5
v
Any Application
MidoNet
Network
VirtualizaCon
PlaEorm
Logical
L2
Any Network Hardware
Any Cloud Management Platform
Logical
Firewall
Logical
Layer
4
Load
Balancer
Logical
L3
Any Hypervisor
Logical Switching – Layer 2 over Layer 3,
decoupled from the physical network
Logical Routing – Routing between virtual
networks without exiting the software
container
Logical Firewall – Distributed Firewall,
Kernel Integrated, High Performance
Logical Layer 4 Load Balancer –
Application Load Balancing in software
MidoNet API – RESTful API for integration
into any Cloud Management Platform
6. Open Source – Same license as
OpenStack. Appeals to trending preference
for open software.
Aims to be the default networking for
OpenStack and Docker
Hardware Vendor Neutral – Works with any
networking gear.
Brownfield, Greenfield, all OK.
(Added features with Cumulus+Dell and
Mellanox NIC)
Trusted Technology – Accessible, widely
deployed, proven by the community.
Enterprise Class Offering– MEM is
hardened with SLA backed support for
production environments.
OpenStackに最適化された真にオープンな
ネットワーク仮想化ソフトウェアソリューション
6