With the introduction of 5G, computational resources that were previously available only at both ends of the network between the device and the cloud can now also exist within the network. We have proposed a platform that enables efficient systems construction that includes various computational resources within the network. We are now introducing Local 5G facilities to test this platform. The local 5G facilities required a large budget for the overall project. For this reason, it was necessary to deploy the equipment at the lowest possible cost. We showed an introduction at the 18th Interregional Intercloud Workshop. In this presentation, we describe how we tried to keep the budget low, the results of the procurement, and the current operation. Written in Japanese.
With the introduction of 5G, computational resources that were previously available only at both ends of the network between the device and the cloud can now also exist within the network. We have proposed a platform that enables efficient systems construction that includes various computational resources within the network. We are now introducing Local 5G facilities to test this platform. The local 5G facilities required a large budget for the overall project. For this reason, it was necessary to deploy the equipment at the lowest possible cost. We showed an introduction at the 18th Interregional Intercloud Workshop. In this presentation, we describe how we tried to keep the budget low, the results of the procurement, and the current operation. Written in Japanese.
Slides In Japanese.
We have installed a Nerves based computer for small hydropower plant as a part of their control system. This presentation describes our activities about this work.
We adopt Nerves, an IoT framework of Elixir language, to a small hydropower plant in Nagano prefecture. We first developed Nerves machines for industrial use with the open source from BeagleBone. Also, we developed system software for the plant with Nerves in Elixir.
This slide is in Japanese.
Title: Elixir is a good choice for industrial applications.
This presentation gives my experience of applying Elixir language to Small Hydro Power stations and a plan to implement a distributed functional programing platform for industrial use with 5G mobile networks.
Beyohndo Project is a research activity to build a programming framework on 5G and local 5G networks. This slide presents the motivation and plan of the project. The project is a WIP and the slide is written in Japansese.
Applying Elixir to FA: A Study of Small Hydropower Palnt SystemsYutaka Kikuchi
We built a system for a small hydroelectric power plant with Nerves, an IoT platform in the Elixir language. In this case, we built not only the software but also the dedicated hardware, and released it as open source hardware and software for a low-voltage small hydroelectric power plant system. Through this experience, we will discuss the evaluation of Elixir and Nerves based on the functional paradigm for industrial applications.
The slides are written in Japanese
小水力発電所のシステムをElixir言語のIoTプラットフォームであるNervesで構築した。この際、ソフトウェアのみならず専用のハードウェアの構築も行い、低圧向け小水力発電所システムのオープンソースハードウェア・ソフトウェアとして公開した。この経験を通じた、関数型パラダイムに基づくElixirやNervesについて産業用途に利用する際の評価を議論する。
The author proposed a concept of `scale-sensitive' that supports society in rural areas. This slide shows the background of the concept and how we put it on the areas around country hills. This slide is written in Japanese.
This slide describes a new technology to enable 4 octet ASN of BGP4. Note that this is written in 2007 so some information might be obsolete. Written in Japanese.
This slides shows a plan to disclose the FA related technology with Elixir used in an online meetup titled Elixir Digitalization Implementors #4. Written in Japanese.
This slide proposes that every device should have a unique ID and API so that software engineers can work in FA as well. In this article, I tried to make a relay with API in Nerves as a demo.
This slide is written in Japanese.
This shows practices of the regulation system of small hydro power plant with small IoT boxes. Moreover it discuss about IoT systems with clouds will replace traditional FA systems.
Anyway folks! Let's get started with your Nerves machines.Yutaka Kikuchi
This set of slides describes how to start up Nerves on your raspberry PI zero. The author ha used this at an online event of the community of embedded systems named Algyan on 10th July 2020. See the pages ``https://algyan.connpass.com/event/180192/'' in detail.
Written in Japanese.
This slide shows an activity named Exineris by kochi.ex. We have been trying to deploy our Nerves/Elixir system into FA fields especially small hydro power plant.
Modernization of Factory Automation with Elixir based systems and communitiesYutaka Kikuchi
We have been developing FA/SCADA system with Nerves that is a platform of IoT with Elixir language. This is an interim report of our project. It shows how to abstract hardware devices with Elixir processes and Erlang registration method.
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。