There is a pretty reasonable chance that Southampton (despite recently scoring 2nd in a detailed review of all the paeds cardiac centres – see below) will lose paeds cardiac surgery.
This has obvious implications for children within wessex and the channel islands with CHD
Less obviously it will have a significant effect on the bed numbers and structure of the paeds ICU
Also it will be to the detriment of the ability of SUHT to offer a comprehensive service to children for our region.
The form is tedious, but hopefully the more people they have who make a noise, the smaller the chances of this brilliant service being dismantled
Please forward this to anyone you might think has an interest in this area (which I would venture suggest is anyone who has a friend or relative who is a child living between Basingstoke, Chichester, Guernsey and Plymouth!)
There is a pretty reasonable chance that Southampton (despite recently scoring 2nd in a detailed review of all the paeds cardiac centres – see below) will lose paeds cardiac surgery.
This has obvious implications for children within wessex and the channel islands with CHD
Less obviously it will have a significant effect on the bed numbers and structure of the paeds ICU
Also it will be to the detriment of the ability of SUHT to offer a comprehensive service to children for our region.
The form is tedious, but hopefully the more people they have who make a noise, the smaller the chances of this brilliant service being dismantled
Please forward this to anyone you might think has an interest in this area (which I would venture suggest is anyone who has a friend or relative who is a child living between Basingstoke, Chichester, Guernsey and Plymouth!)
【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.
4. Schneider Electric
“エネルギーマネジメントのGlobal Specialist”
Balanced geographies – FY 2011sales
Western
billion € sales Europe
North
(last twelve months) 32%
America
23%
Asia
Pacific
Rest of 27%
World
of sales in new economies 18%
(last twelve months)
Diversified end markets – FY 2011 sales
Utilities & Infrastructure 24%
people in 100+ countries Industrial & machines 22%
Data centres 16%
Non-residential buildings 29%
Residential 9%
of sales devoted to R&D
Schneider Electric - ITB Japan- Hajime Arimoto– Oct. 2012 4
38. 可用性
HIGH Reduced
Reduced
DENSITY HUMAN
MTTR
Capable ERROR
エネルギー効率
Reduced Deployment
CARBON SPEED
FOOTPRINT
Modular
迅速性
Complete
Ability to
PLANT-TO-
PLUG Solutions & SCALE
Visibility to
ENERGY
Standard Ability to
RE-
USAGE CONFIGURE
Reduced Reduced
Reduced
CAPITAL ENERGY NON-
COST ENERGY
COST
COST
TCO
Schneider Electric - ITB Japan- Hajime Arimoto– Oct. 2012 38
44. 50kW 単位で拡張
(EcoBreeze)
●50kW Modules
●Scalable from 50kW - 400kW
●20 ft Frame – Up to 4 Modules
●40 ft Frame – Up to 8 Modules
Schneider Electric - ITB Japan- Hajime Arimoto– Oct. 2012 44
57. :: DCIMの定義
●Data Center Infrastructure Management (DCIM) シス
テムはデータセンターのゕセット、リソース利用状況、運
用状況に関する情報を収集・管理する
対応するソリューション: DCIM
●次に情報を配信、統合、分析して応用する。これにより、
マネージャーはビジネスとサービスに関するゴールを達成
Data Centre Infrastructure Management
し、データセンターのパフォーマンスを最適化できる。
Schneider Electric - ITB Japan- Hajime Arimoto– Oct. 2012 57
58. “DCIM ツールおよびプロセスはデータセンター
運用のメンストリームとなり、その比率は
2010年の 1% から 2014年には 60% になる。
“このような進化をもとに、ンフラのリーダー達は 2010/2011
年には、DCIMの評価を開始しなければならない。”
-- David Cappuccio, managing vice president and chief of research
for the Infrastructure teams with Gartner, DCIM: Going Beyond
IT problems
Schneider Electric - ITB Japan- Hajime Arimoto– Oct. 2012 58
59. Your engine of enterprise efficiency
Sustainability Energy Operation Asset Control & Security
Monitoring
Schneider Electric - ITB Japan- Hajime Arimoto– Oct. 2012 59
60. StruxureWare for “end market”
I Sustain !
Sustainability Management
CEO
view
I Optimize !
Functional Operation Energy Asset
VP/Officer
(Ex:VP Operations)
I Manage ! Real time
Control
Function Mgr Security
Control
(Ex Plant Mgr)
Schneider Electric - ITB Japan- Hajime Arimoto– Oct. 2012 60
61. StruxureWare Data Center
● StruxureWare Data Center は,データセンター・フゔシリテゖーとデー
タセンターITンフラの運用面を監視・管理する複数のユーザーやグ
ループのニーズ(単独、共通)に対応するために設計されたソフトウェ
ア・スイート
データセンターの管理
ファシリティー ファシリティー IT インフラ IT インフラ
電力監視 クーリング監視 監視 オペレーション
Schneider Electric - ITB Japan- Hajime Arimoto– Oct. 2012 61
62. もし電力に問題が発生した場合、
どういう基準をもって、
仮想サーバを移動させますか?
Schneider Electric - ITB Japan- Hajime Arimoto– Oct. 2012 62
Schneider Electric – IT Business – Hajime Arimoto– May, 2012
63. Why move a VM? Reasons on both sides...
Not enough COMPUTE resources... OR There is physical DANGER ...
The virtual machine manager Operations
watches this side watches this side
Power Cooling
● Power outage – on battery, low battery
● Not enough PROCESSOR
● Cooling trouble – failure of a cooling device
● Not enough MEMORY
● Loss of redundancy in power or cooling
● Not enough STORAGE
Cooling Power
Schneider Electric - ITB Japan- Hajime Arimoto– Oct. 2012 63
65. Anatomy of an incident
InfrastruXure
Operations
Physical server
UPS UPS
Virtual machines (VMs) A B
Schneider Electric - ITB Japan- Hajime Arimoto– Oct. 2012 65
66. Anatomy of an incident
InfrastruXure
Operations
1 UPS on battery UPS
A
UPS
B
Schneider Electric - ITB Japan- Hajime Arimoto– Oct. 2012 66
67. Anatomy of an incident
InfrastruXure
Operations
Central sees the Monitoring software
2 problem
UPS UPS
A B
Schneider Electric - ITB Japan- Hajime Arimoto– Oct. 2012 67
68. Anatomy of an incident
InfrastruXure
Operations
Central notifies
3 Operations
Monitoring software
UPS UPS
A B
Schneider Electric - ITB Japan- Hajime Arimoto– Oct. 2012 68
69. Anatomy of an incident
InfrastruXure
Operations
4 Operations tells the
VM manager which Monitoring software
VMs are affected
UPS UPS
A B
Schneider Electric - ITB Japan- Hajime Arimoto– Oct. 2012 69
70. Anatomy of an incident
InfrastruXure
Operations
Monitoring software
5
The VM manager moves the
affected VMs to a healthy
rack UPS UPS
A B
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