Media Placement Portfolio Lindsay KrupaLindsay Krupa
Key national, local and trade print, broadcast & online media placements for clients, reaching millions of targeted consumers—including an audience reach of over 46 million for my client TARA, 1.8 million for Megumi, approx. 8 million for Begg, and a Quantcast monthly estimate of more than 45 million for key online placements for Portero.com. Prior to that I was responsible for a number of key placements for Clodagh Design (2007) and Harry Winston Diamond Corporation (2008), after starting my career as an intern assisting with numerous million-dollar press campaigns for Polo Ralph Lauren(2002, 2005/6).
Media Placement Portfolio Lindsay KrupaLindsay Krupa
Key national, local and trade print, broadcast & online media placements for clients, reaching millions of targeted consumers—including an audience reach of over 46 million for my client TARA, 1.8 million for Megumi, approx. 8 million for Begg, and a Quantcast monthly estimate of more than 45 million for key online placements for Portero.com. Prior to that I was responsible for a number of key placements for Clodagh Design (2007) and Harry Winston Diamond Corporation (2008), after starting my career as an intern assisting with numerous million-dollar press campaigns for Polo Ralph Lauren(2002, 2005/6).
Presented by:
Joseph Aranyosi, CEC, Director of Curriculum Development
Trent D. Bartholomew, CEC, Director of Faculty Development
Natalie Garay, Pearson, Curriculum Consultant
Darrell Christopher, Pearson Executive Director
Business & financial plan for the Institute of Vision and Message from Q4 2010. Nanotechnology, robotics, AI, social development. The Institute would explore reaching social OPTIMUM, Human 2.0 and posthuman society.
Goals would respectively be achieved through deconstruction of all retrograde historic infrastructures and paradigms, which is due to come through deconstruction of retrograde economic structures: division of labor, mass production, competition, value chain and such, and by de-emphasizing its impact on social processes. New plan coming soon.
Ruminating over essence and infrastructure of the game. If we are to perceive and experience the game not through the set of rules, outcome, punishments and rewards and the goal, but as a set of random occurrences as well as conscious and unconscious decisions, mistakes, context, environment etc., we could be able to deconstruct the infrastructure of the game and get the glimpse of alternate realities. Again, it is not the question of throwing random cards and getting the same outcome as playing by the rules of the game, it is the question of actualizing the new system without touching the infrastructure or creating a new one.
Presented by:
Joseph Aranyosi, CEC, Director of Curriculum Development
Trent D. Bartholomew, CEC, Director of Faculty Development
Natalie Garay, Pearson, Curriculum Consultant
Darrell Christopher, Pearson Executive Director
Business & financial plan for the Institute of Vision and Message from Q4 2010. Nanotechnology, robotics, AI, social development. The Institute would explore reaching social OPTIMUM, Human 2.0 and posthuman society.
Goals would respectively be achieved through deconstruction of all retrograde historic infrastructures and paradigms, which is due to come through deconstruction of retrograde economic structures: division of labor, mass production, competition, value chain and such, and by de-emphasizing its impact on social processes. New plan coming soon.
Ruminating over essence and infrastructure of the game. If we are to perceive and experience the game not through the set of rules, outcome, punishments and rewards and the goal, but as a set of random occurrences as well as conscious and unconscious decisions, mistakes, context, environment etc., we could be able to deconstruct the infrastructure of the game and get the glimpse of alternate realities. Again, it is not the question of throwing random cards and getting the same outcome as playing by the rules of the game, it is the question of actualizing the new system without touching the infrastructure or creating a new one.
English translation of presentation material at BGP Meeting 2021 summer.
The original document is written in Japanese.
Experiences of Internet Disconnection in Myanmar.
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。