Investing 101: How to Prepare for RetirementExperian_US
Join our weekly #CreditChat on Twitter & Blab every Wednesday at 3 p.m. ET. The panel included: Walter Updegrave: Former CNNMoney Ask the Expert columnist and Founder of RealDealRetirement.com, Kiplinger Retirement Report, Rod Griffin- Director of Public Education at Experian and Mike Delgado- Social Media Community Manager at Experian.
This deck features tips from: @taynelawgroup, @KOFETIME, @kevincswanson, @JustOnePay, @SFCUNews, @FedChoiceFCU, @LeslieHTayneEsq, @AirForceFCU, @care4yourfuture, @StopFraudCo, @KiplingerRetire, and @FrogskinU.
Eating processed meat products, such as hot dogs and bacon, can increase a person’s risk for colorectal cancer, according to research from an international cancer agency. Learn more about what foods to avoid.
Event Report - Salesforce Dreamforce 2016 - Einstein is show, platform progre...Holger Mueller
Holger Mueller of Constellation Research shares his key takeaways from Salesforce's Dreamforce conference, held in San Francisco from October 4th till 7th 2016
Are you looking to bring your vertical expertise to the cloud? From Financial Services, to Healthcare, and the Public Sector, the salesforce.com partner team is committed to help our partners succeed. Join us to learn how you can build a successful commercial app and go-to-market strategy for your vertical. Hear from existing vertical partners who are already succeeding on the Salesforce Platform
Mapping Voyager 1's 36-Year Trek Through SpaceMashable
Launched Sept. 5, 1977, the stalwart Voyager 1 spacecraft has been Earth's most distant ambassador since 1998.
Now approximately 11.8 billion miles away, Voyager 1 continues its lonesome trek through the heliosheath, a transitional region that borders interstellar space.
To celebrate Voyager's accomplishments and enduring legacy, we've charted some of the spacecraft's biggest moments.
Read more: http://on.mash.to/1g2O4I2
Import Guide - Cloud for Customer Edge and Starter Edition - Guide v2.6Tiziano Menconi
This is a guide which I created to support customers through the import of data into their Cloud for Customer accounts. This guide is designed for the SAP Data Workbench and the screenshots come from SAP Digital CRM and SAP Cloud for Customer Starter Edition.
SAP Data Workbench is present in the Starter and Edge editions of SAP Hybris Cloud for Customer.
Talk about ECMAScript 6 at YAPC::Asia Tokyo 2015
http://yapcasia.org/2015/talk/show/44721562-10e4-11e5-88a0-d7f07d574c3a
https://www.youtube.com/watch?v=oSPv5IPDSxE
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。