These slides use concepts from my (Jeff Funk) course on Business Models at National University of Singapore to analyze the business model for Jasper. Jasper provides a platform for the Internet of Things that enable companies to connect their “things” to the Internet. It provides each thing with a global SIM card that works with local telco wireless systems. It also provides a middleware platform that enables data analysis and presentation. This enables users to monitor their things 24/7, better manage costs and customer usage, and integrate these outputs with their own IT systems. Jasper charges for each connection and thus begins making money as soon as users connect to their systems. The slides describe the value proposition, method of value capture, customers, scope of activities, and method of strategic control for Jasper.
While the media, analysts and many enterprises talk about IoT as a future endeavor, this presentation focuses on IoT as a strategic imperative that drives business outcomes that result in saving money, making money, and growing closer customers
These slides use concepts from my (Jeff Funk) course on Business Models at National University of Singapore to analyze the business model for Jasper. Jasper provides a platform for the Internet of Things that enable companies to connect their “things” to the Internet. It provides each thing with a global SIM card that works with local telco wireless systems. It also provides a middleware platform that enables data analysis and presentation. This enables users to monitor their things 24/7, better manage costs and customer usage, and integrate these outputs with their own IT systems. Jasper charges for each connection and thus begins making money as soon as users connect to their systems. The slides describe the value proposition, method of value capture, customers, scope of activities, and method of strategic control for Jasper.
While the media, analysts and many enterprises talk about IoT as a future endeavor, this presentation focuses on IoT as a strategic imperative that drives business outcomes that result in saving money, making money, and growing closer customers
CTO of ParStream Joerg Bienert hold a presentation on February 25, 2014 about Big Data for Business Users. He talked about several use cases of current ParStream customers and ParStreams' technology itself.
The idea of a more connected world is an exciting prospect. The proliferation of Internet-enabled cars, appliances, medical devices, thermostats, and so on has already changed the way we live and will only continue grow. Unfortunately, these devices are expanding an already large attack surface, and cybercriminals are eager to exploit them.
If we do not prepare for this influx of new, specialized devices on our networks, the Internet of Things (IoT) will leave gaping holes in our cybersecurity practices. But securing these many devices is a daunting task for even the bravest security professional.
Join Keith Wilson of Cisco Security for a webinar to discuss the security challenges related to IoT. Topics covered include:
-Why IoT devices can be difficult to secure
-Industries already affected by this trend such as health care, manufacturing, financial services and retail
-The various approaches to securing these devices
-How you can best keep IoT devices from becoming a security liability
Intelligent Segmentation: Protecting the Enterprise with StealthWatch, Cisco ...Lancope, Inc.
Intelligent Segmentation: Protecting the Enterprise with StealthWatch, Cisco ISE and TrustSec
Recent breaches have demonstrated that insider threats and determined attackers are effectively able to operate on the network interior where they can wreak havoc on an organization. As a result, it has become necessary to implement security policies inside the network. This webinar describes a data intelligence-driven approach to dynamically segmenting the network to control threats and protect the enterprise through the use of NetFlow and Lancope’s StealthWatch® System in combination with Cisco ISE and TrustSec.
This webinar will cover:
• design and deployment scenarios
• use cases
• best practices
• configuration examples
• forward-leaning vision
The primary takeaway of this webinar is a methodology for leveraging StealthWatch to drive segmentation policies and control threats on the network interior.
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。