Toimintaympäristökatsaus 1-2014 –mediamarkkinan keskeisiä ilmiötä ovat
1. Netti-tv ja videoistuminen
2. Vuorovaikutus hallitsee ajankäyttöä
3. Kansan kahtiajako – mediakäyttö polarisoituu
4. Television toimintaympäristö: IP-jakelu ei ole ongelma, vastaanotto on
5. Suomalaisen kaupallisen median mainostuotot vähenevät pysyvästi
Toimintaympäristökatsaus 1-2014 –mediamarkkinan keskeisiä ilmiötä ovat
1. Netti-tv ja videoistuminen
2. Vuorovaikutus hallitsee ajankäyttöä
3. Kansan kahtiajako – mediakäyttö polarisoituu
4. Television toimintaympäristö: IP-jakelu ei ole ongelma, vastaanotto on
5. Suomalaisen kaupallisen median mainostuotot vähenevät pysyvästi
Boston as a preffered Investment DestinationAshish Tandon
Presentation detailing some key facts about Boston World Partnerships, the Boston economy,the incentives to the investor when bringing FDI to the greater Boston economy, and the reasons why Boston is a preffered investment destination with assured ROI for the investor
A presentation on Google's hreflang, given by Joost de Valk of Yoast at the International Search Summit in Munich. It covers what hreflang is, how to implement it, which pitfalls to avoid and how to keep it working.
The environmental damage our factories, cars, farms and lifestyles create is well known. But what happens when the environmental damage takes on a planetary scale, threatening human health and civilization?
Government of India Gazette Notification - The Information Technology (Preser...Amit Ranjan
In exercise of the powers conferred by sub section (1) of section 87 and clause (wa) of subsection
(2) of section 87 read with section 6A and section 67C of the Information Technology Act, 2000 (21 of 2000) the
Central Government of India hereby makes the following rules for the preservation and retention of information by intermediaries
providing Digital Locker Facilities, namely:–– the Information Technology (Preservation
and Retention of Information by Intermediaries Providing Digital Locker Facilities) Rules, 2016.
Extending Enterprise Search To Catalyse Innovation In A Global OrganisationNick Brown
Presentation by Steve Woodward in my team at Enterprise Search Summit 2015 in London on 20th October. Examples of how we have leveraged a cloud-based enterprise search platform to help drive our mobile and user experience competencies across a global organisation. Examples include an enterprise mobile app for simplifying approvals, search-based microapplications and in-video transcription.
Quick introduction to Illustrator with a very minimal presentation. Used to introduce a bunch of architects to the software and a couple of layout concepts. Share if you find it useful :)
Tech Incubation. Delivering an enterprise platform on AWSNick Brown
Presentation by Eddie Wu, software developer in my team at AWS Summit 2015 in Hull on August 27th 2015. Overview about how we developed an enterprise search capability that was deployed for 60k users with elastic scaling using Amazon Web Services and Docker.
Perspectives 2013 is a collection of Reactive's viewpoints from our offices around the world. Download the PDF version from http://www.reactive.com/perspectives-2013.html
The authors live and work in New York, London, Melbourne, Sydney and Auckland.
Content Marketing and Events: Setting Up the Model and Driving RevenueJoe Pulizzi
Speech by Joe Pulizzi from the Content Marketing Institute for the 2014 TSNN Awards on how CMI set up a content creation process to build one of the fastest growing physical events in the country. Includes the revenue model, social media integration, influencer and media relations and more.
Luxottica Group is a leader in the design, manufacture and distribution of fashion, luxury, sport and performance eyewear.
Luxottica’s mission is multifold: to improve the well-being and satisfaction of its customers while simultaneously creating value for its 73,400 employees and the communities in which the Group operates.
The Group is a vertically integrated organization, whose manufacturing of sun and prescription eyewear is backed by a wide-reaching wholesale network and a retail network.
Product design, development and manufacturing take place in Luxottica’s 12 facilities around the world. The company has a strong and well-balanced brand portfolio that include a number of proprietary and licensed brand. Proprietary brands include Ray-Ban, one of the world’s best known brands for eyewear and Oakley.
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。