raspberry PI has a debian os such as Raspbian. But pi password is open and root password is not setting. You must change pi password and set root password immediately. Raspbian use apt-get update and upgrade.
Deep learning reading club @ nimiri for SWESTKiyoshi Ogawa
We start from zero to learn deep learning with python. Members have each goal respectively and I will try language processing and gene/genome processing.
IoT(internet of things) devices may be very dangerous for society. IoT cyber security Counter measurement will be proposed. Before study, check some slides, youtube movies and/or quiita contents. Main part will be announced at the room. HAZOP study for security analysis will be introduced today. Electric power source, harmonic generation, smoking, firing, wireless, noise, and human resources are discussed.
190730 Introduction of VR/MR in Experimental Equipment for Real-time Discussi...Junya Ishioka
On 30th July I had a long talk about application of VR and MR technique for improvement of Scientific Exploration.
The application in the field of electron microscope was first case in domestic University in Japan.
エヌビディアが加速するディープラーニング~進化するニューラルネットワークとその開発方法について~NVIDIA Japan
NVIDIA Deep Learning Institute
2016年4月27日のNVIDIA Deep Learning Day 2016 Springの資料です。
エヌビディア合同会社 プラットフォームビジネス本部
ディープラーニングソリューションアーキテクト 兼
CUDA エンジニア 村上 真奈
[概要]
ディープラーニングは近年、画像認識の分野で、その高い認識精度から大変注目を集めている技術です。音声認識や自動運転など画像認識の分野以外への応用が進んでおり大変期待されています。本セッションは、日々新しい構造のモデルが提案され進化しているディープラーニングの概要とGPUが必要とされている理由について簡単に説明します。
その後に、実際にディープラーニングの開発のイメージを持って戴けるように、いくつかの代表的なディープラーニングのフレームワークを使い、デモしながら各フレームワークの特徴を解説します。ディープラーニングの最新の状況が知りたい、実際の開発の際にどのフレームワークを使うべきか知りたい、開発を始める前に開発のイメージを持ちたいという方に最適です。
Literate Computing for Infrastructure - インフラ・コード化の実践におけるIPython (Jupyter) Not...No Bu
Presented at SC2015-6 on 6/3/2015 for ..
Infrastructure as Code meets IPython Notebook to be Literate Computing
IEICE Tech. Rep., vol. 115, no. 72, SC2015-6, pp. 27-32, June 2015.
Abstract: Cloud has put the pressure to rapidly build systems and frequently re-configure services, then Infrastructure as Code has come beyond the simple automation. The approach treats the configuration of systems the same way that software source code is treated. Infrastructure is validated and processed “as Code” with management tools. However, as Code is not limited only about the intelligent automation, but also about the communication based on code for reviewing, reproducing, customizing, and reusing. It is as important to be able to share information and processes with others, as to actually automate complex operations for infrastructures. IPython Notebook is a useful tool to both describe automated operations with code (and configuration data) and share predicted and reproducible outcomes with others, technical and non-technical alike.
IPython Notebook is a “literate computing” tool, which enables us to share stories about infrastructure’s design and elaborated workflows. We will share our experience how the literate stories are also useful for various customer communications as tracing individual issue, promoting self-administration etc.
Keywords DevOps, Infrastructure as Code, Literate Computing, IPython Notebook, Jupyter
インフラ・コード化の実践におけるIPython Notebookの適用
信学技報, vol. 115, no. 72, SC2015-6, pp. 27-32, 2015年6月
あらまし: クラウドサービスの浸透により,サービスの構築・再構築の機会が増加するのに伴って,作業手順をすべてCodeとして記述するInfrastructures as Codeというアプローチが着目されている.ここでの“as Code”は作業手順の正当性がプログラムコードのように,また実行結果も機械的に検証可能であるという意味合いで捉えられがちであるが,むしろ個々の作業の再現性を保証し,その上で作業をカスタマイズ・再利用すると言ったプロセス自体を,Codeとして見える化し,伝達可能にすることにこそ意義がある.DevOpsに於いては,何某かを実際に構築したり機械化したりするだけではなく,設計情報,運用状態を伝達・共有できるようにすることが重要である.
“Literate Computing”ツールと呼ばれ,ワークフローと実行結果を一体としてドキュメント化できるIPython Notebookを,基盤の構築,運用に適用する方式を提案すると共に,具体的な適用によってワークフローをどのように改善することができたかを報告する.
キーワード DevOps, Infrastructure as Code, Literate Computing, IPython Notebook, Jupyter
Raspberry PI using Linux. But it is easy to use who does not know Linux. So sometimes Raspberry PI is dangerous. We propose for industry, TOPPERS/SSP is the just you use. If some spec are too small, please try to use TOPPERS/ASP, TOPPERS/HRP2 or TOPPERS/ATK2. We use HAZOP and TRIZ for safety and security analysis.
エヌビディアが加速するディープラーニング~進化するニューラルネットワークとその開発方法について~NVIDIA Japan
NVIDIA Deep Learning Institute
2016年4月27日のNVIDIA Deep Learning Day 2016 Springの資料です。
エヌビディア合同会社 プラットフォームビジネス本部
ディープラーニングソリューションアーキテクト 兼
CUDA エンジニア 村上 真奈
[概要]
ディープラーニングは近年、画像認識の分野で、その高い認識精度から大変注目を集めている技術です。音声認識や自動運転など画像認識の分野以外への応用が進んでおり大変期待されています。本セッションは、日々新しい構造のモデルが提案され進化しているディープラーニングの概要とGPUが必要とされている理由について簡単に説明します。
その後に、実際にディープラーニングの開発のイメージを持って戴けるように、いくつかの代表的なディープラーニングのフレームワークを使い、デモしながら各フレームワークの特徴を解説します。ディープラーニングの最新の状況が知りたい、実際の開発の際にどのフレームワークを使うべきか知りたい、開発を始める前に開発のイメージを持ちたいという方に最適です。
Literate Computing for Infrastructure - インフラ・コード化の実践におけるIPython (Jupyter) Not...No Bu
Presented at SC2015-6 on 6/3/2015 for ..
Infrastructure as Code meets IPython Notebook to be Literate Computing
IEICE Tech. Rep., vol. 115, no. 72, SC2015-6, pp. 27-32, June 2015.
Abstract: Cloud has put the pressure to rapidly build systems and frequently re-configure services, then Infrastructure as Code has come beyond the simple automation. The approach treats the configuration of systems the same way that software source code is treated. Infrastructure is validated and processed “as Code” with management tools. However, as Code is not limited only about the intelligent automation, but also about the communication based on code for reviewing, reproducing, customizing, and reusing. It is as important to be able to share information and processes with others, as to actually automate complex operations for infrastructures. IPython Notebook is a useful tool to both describe automated operations with code (and configuration data) and share predicted and reproducible outcomes with others, technical and non-technical alike.
IPython Notebook is a “literate computing” tool, which enables us to share stories about infrastructure’s design and elaborated workflows. We will share our experience how the literate stories are also useful for various customer communications as tracing individual issue, promoting self-administration etc.
Keywords DevOps, Infrastructure as Code, Literate Computing, IPython Notebook, Jupyter
インフラ・コード化の実践におけるIPython Notebookの適用
信学技報, vol. 115, no. 72, SC2015-6, pp. 27-32, 2015年6月
あらまし: クラウドサービスの浸透により,サービスの構築・再構築の機会が増加するのに伴って,作業手順をすべてCodeとして記述するInfrastructures as Codeというアプローチが着目されている.ここでの“as Code”は作業手順の正当性がプログラムコードのように,また実行結果も機械的に検証可能であるという意味合いで捉えられがちであるが,むしろ個々の作業の再現性を保証し,その上で作業をカスタマイズ・再利用すると言ったプロセス自体を,Codeとして見える化し,伝達可能にすることにこそ意義がある.DevOpsに於いては,何某かを実際に構築したり機械化したりするだけではなく,設計情報,運用状態を伝達・共有できるようにすることが重要である.
“Literate Computing”ツールと呼ばれ,ワークフローと実行結果を一体としてドキュメント化できるIPython Notebookを,基盤の構築,運用に適用する方式を提案すると共に,具体的な適用によってワークフローをどのように改善することができたかを報告する.
キーワード DevOps, Infrastructure as Code, Literate Computing, IPython Notebook, Jupyter
Raspberry PI using Linux. But it is easy to use who does not know Linux. So sometimes Raspberry PI is dangerous. We propose for industry, TOPPERS/SSP is the just you use. If some spec are too small, please try to use TOPPERS/ASP, TOPPERS/HRP2 or TOPPERS/ATK2. We use HAZOP and TRIZ for safety and security analysis.
This document provides an overview of MISRA compliance guidelines for software development. It discusses the development process, fundamental elements of compliance like guideline classification and enforcement plans, deviations from guidelines, and requirements for claiming MISRA compliance. Guidelines can be mandatory, required, or advisory. Compliance involves enforcing guidelines through compilers, tools, and reviews. Deviations from required guidelines require records justifying the deviation. Projects must demonstrate staff competence, management processes, and compliance with guidelines to claim MISRA compliance.
Who enjoy a coding standard? We propose programmer should be enjoy a coding standard. Nobody may not insist to write code non free. Programmer can write codes freely. Before reviews, beautifier, static analysis and naming check tools should be useful.
Who enjoy a coding standard? We propose programmer should be enjoy a coding standard. Nobody may not insist to write code non free. Programmer can write codes freely. Before reviews, beautifier, static analysis and naming check tools should be useful.
Who enjoy a coding standard? We propose programmer should be enjoy a coding standard. Nobody may not insist to write code non free. Programmer can write codes freely. Before reviews, beautifier, static analysis and naming check tools should be useful.
TOPPERS provide Real Time Operating kernel such as ASP(standard), ATK(for Automotive), HRP(for Space), FMP(multi core), SSP(smallest set profile) kernel and other tools. Real Time kernel for Raspberry Pi are released, as FMP and SSP.
Datamining Introduction using R with Raspbian on Raspberry Pi 3B.Kiyoshi Ogawa
"Datamining Introduction using R" by Toyota Hideki has very good practices. We try to perform with Raspbian on Raspberry Pi 3B, data exchange, install, start, execute, plot and batch.
STAMP/STPA and UML/HAZOP on the IoT and AI/Deep Learning Kiyoshi Ogawa
We analyze on Automotive, Airplane, Medical, Land, or Supply chain with UML/HAZOP and/or STAMP/STPA. IoT and Machine Learning such as Data Robot should be studies.
Hint of combination of Safety Analysis method (stamp/stpa and haze) Kiyoshi Ogawa
There are many analysis methods including NazeNaze, Kakotora(trouble db), HAZOP and so on. We try to use 3 method at the same time. Now, STAMP/STPA, HAZOP and others are selected.
55. 略号⼀覧(1/2)
´ API: Application programming
Interface
´ CCIE: Cisco Certified Internetwork
Expert
´ CERT:Computer Emergency
Readiness Teams,
´ CEST: Consortium for Embedded
System Technology
´ DEV: developer
´ DVD-R:digital versatile disc
Recordable
´ ET: embedded technology
´ FME:A failure mode and effective
analysis
´ FTA: fault tree analysis
´ GPS: global positioning system
´ HAZOP: hazard analysis and
Operability study
´ Html: hyper text mark up language
2017/09/24
55
´ http: hyper text transfer protocol
´ https: hyper text transfer protocol
secure
´ ID: identifier
´ IDE: Integrated development
environment
´ IEC: International Electrotechnical
Commission,
´ IoT, Internet of things
´ IP: internet protocoll
´ ISO: International Organization for
Standardization
´ JASA: Japan Embedded Systems
Technology Association
´ JAXA: Japan Aerospace
Exploration AgencIPA:Information-
technology Promotion Agency,
Japan,
´ Jp: Japan
´ JSP: Just Standard Profile kernel
´ LSB: Linux Standard Base
´ LT: lightening talks
(c) @kaizen_nagoya
56. 略号⼀覧(2/2)
´ lwIP: light weight Internet Protocol
´ MISRA:Motor Industry Softwre
Reliability Association,
´ Mruby/c, mruby compact(?)
´ Net: network
´ Nmiri, Nagoya Municipal Industrial
Research institute
´ NSPICE: Nippon software process
improvement and capability
determination
´ OS: operating system
´ OSC; open source conference
´ PSoC: Programmable System-on-
Chip
´ RFC: request for comment
´ RSS: real time system sample
´ RTL: Register Transfer Level
2017/09/24
56
´ SD: Secure Digital card
´ SEC CoN: Security Contest
´ SSP: Smallest Set Profile kernel
´ STARC: Semiconductor Technology
Academic Research
Center(dissolution)
´ SWEST: Summer Workshop on
Embedded System Technologies
´ TCP: Transmission Control Protocol
´ TOPPERS: Toyohashi OPen Platform
for Embedded Real-time Systems
´ TRIZ: theory of the resolution of
invention-related tasks
´ ver: version
´ WG: Working Group
´ WOCS: workshop on critical
software systems
´ www: world wide web
´ μKadecot: Kaden(home
electronics) controller, Kadeco is a
TM of Sony Science Laboratory
(c) @kaizen_nagoya