投稿時間:2022-04-18 16:31:32 RSSフィード2022-04-18 16:00 分まとめ(41件)

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IT	ITmedia 総合記事一覧	[ITmedia ビジネスオンライン] かっぱ寿司、サイドメニュー人気1位の茶碗蒸しを2倍の大きさで投入　狙いは？	https://www.itmedia.co.jp/business/articles/2204/18/news100.html	itmedia	2022-04-18 15:53:00
IT	ITmedia 総合記事一覧	[ITmedia PC USER] カラーE Inkを採用した7.8型Androidタブレット「BOOX Nova Air C」	https://www.itmedia.co.jp/pcuser/articles/2204/18/news109.html	android	2022-04-18 15:40:00
IT	ITmedia 総合記事一覧	[ITmedia News] うまいラーメンを食べたいならApple Parkを目指せ　円盤本社に吸い寄せられるラーメンの名店たち	https://www.itmedia.co.jp/news/articles/2204/18/news104.html	apple	2022-04-18 15:05:00
TECH	Techable（テッカブル）	KDDIとstu、端末のスペックに依存しない高精細なバーチャル空間を提供	https://techable.jp/archives/177163	virtua	2022-04-18 06:00:30
IT	情報システムリーダーのためのIT情報専門サイト IT Leaders	インフュージョン、在庫管理クラウド「在庫スイートクラウド」新版、 発注点割れをメールで通知 | IT Leaders	https://it.impress.co.jp/articles/-/23037	インフュージョン、在庫管理クラウド「在庫スイートクラウド」新版、発注点割れをメールで通知ITLeadersインフュージョン神奈川県横浜市は年月日、クラウド型在庫管理アプリケーション「在庫スイートクラウド」を強化し、同年月日にバージョンアップすると発表した。	2022-04-18 15:06:00
AWS	AWS Japan Blog	週刊AWS – 2022/4/11週	https://aws.amazon.com/jp/blogs/news/aws-weekly-20220411/	今週も週刊AWSをお届けします。	2022-04-18 06:06:04
js	JavaScriptタグが付けられた新着投稿 - Qiita	ブラックジャックのなんちゃって設計(js) part3 プロパティとかメソッドをもう少し詳しく	https://qiita.com/hideya670/items/43dea317d718a886d7cc	jspart	2022-04-18 15:11:42
AWS	AWSタグが付けられた新着投稿 - Qiita	ある日突然ThreadpoolWriteThreads(MAX)が急増して止まらなくなった件	https://qiita.com/catoo1029/items/069c2f1e28ff51602e23	catoo	2022-04-18 15:11:20
Docker	dockerタグが付けられた新着投稿 - Qiita	docker-mailserverで簡単(?)メールサーバ構築	https://qiita.com/idani/items/cc160fa49681919aa215	dockermailserver	2022-04-18 15:33:04
海外TECH	DEV Community	Blockchain Terminologies	https://dev.to/kcdchennai/blockchain-terminologies-eif	Blockchain Terminologies AddressesAddress or bitcoin addresses are unique identifiers that are composed from to alphanumeric characters They are used in blockchain transactions and they are responsible for denoting senders and recipients For every transaction users can use a new address but they can reuse old ones if they wish Reusing the same addresses can lead to easier identification of the user that created it Addresses can also be case sensitive and created offline it is also possible to create multi signature addresses that require more than one private key TransactionsTransactions are the main units of blockchain technology They are used for transferring values from one address to another Transaction FeeMiners that choose to include a transaction in a block collect a transaction fee The fee is calculated differently for every transaction based on variables like the size of the transaction and amount of resources electricity and hardware required to process it Generally the bigger the transaction the larger the fee Miners choose transactions from memory pools by checking their priority Those with a higher priority for the block that is being built should be picked up first Anyone wanting faster processing of a transaction would need to offer a higher incentive more money in order to make a miner want to pick it up sooner Turing CompleteTuring complete is a computability theory that is used for abstract machines Computability theory says that any system of data manipulation rules that can simulate a Turing machine is called Turing Complete Turing complete programming language is in a high demand when it comes to blockchain technology but security issues are still a problem Virtual machines are used to run Turing complete code on blockchain BlockA block hash timestamp nonce and at least several transactions make a block once a block is completed the records about transactions can not be modified or deleted Multiple blocks added together form a blockchain network block contains information about past present and future transactions Block ExplorerBlock explorer is a web tool used for viewing information about addresses transactions transaction histories and individual blocks in a blockchain network Block HeightBlock Height represents the number of blocks that are ahead of the given block in the blockchain network Every block contains a header containing the current block height Block RewardBlock rewards are rewards for the miners which solve some type of mining puzzles When Bitcoin was started for example the reward for successfully mining a block was Bitcoins The reward is contained in Coinbase transactions that miners receive after solving a puzzle Central LedgerThe central ledger represents records about all financial transactions of an organization Centralized ledger means that there is a main ledger which contains all information in one place Peer to Peer NetworkA PP is a type of network where each peer can contact other peers and exchange information In this network topology there is no need for a central server The peers need only to join a peer to peer network before they can send and receive messages Smart ContractsA smart contract is a computer program or protocol that is used to set the rules of a contract between two parties Smart contracts are also called crypto contracts They can also apart from setting rules take control to enforce those rules and transfer the digital currencies between parties if conditions of the contract are met The main advantage is that smart contracts don t require a third party Oraclesan Oracle is a third party information source and is a part of the smart contract system Smart contracts are unable to access external data which might be needed for a rule to be executed Oracles can deliver that external data to smart contracts They use a secure channel when transferring data and they are considered secure ConsensusConsensus is a type of agreement and means that multiple parties have agreed on the same value or goal When talking about blockchain technology Consensus means that nodes have agreed on the same state of a blockchain ConfirmationConfirmation happens when a network has successfully processed a transaction It also means that the transaction can not be reversed When talking about trade life cycle Confirmation means that both opposing parties have agreed to the details of trade For a transaction to be finalized multiple confirmations are often needed CryptocurrencyCryptocurrency is considered to be a digital form of money It uses high end encryption techniques to create funds and to verify their transfer Without blockchain cryptocurrency would not exist They use a decentralized control system which works through distributed ledger technology like a blockchain The most famous cryptocurrency is Bitcoin Cryptographic Hash FunctionHash functions are functions that take an input value of some length and extracts from it another value of a fixed length No matter how many characters are fed into the hash function the output will always be of the fixed defined output length even if input values differ by only one character their output hashes will be totally different Characteristics of a cryptographic hash functions Computationally Efficient Deterministic For some input output should always be sameCollision Resistant no inputs could have same outputPre image resistant input can not be revealed by looking at the output DAPPDAPP stands for Decentralized Application This is an application whose backend runs on multiple computers that are part of a decentralized network This differs from a standard app whose backend runs on centralized servers DAODAO stands for Decentralized Autonomous Organization A DAO is computer software that runs on top of a blockchain Distributed LedgerDistributed Ledger are identical databases that are distributed to each of the participants They are often confused with blockchain but they are not the same thing The records of these ledgers are not placed in blocks like in a blockchain but rather stored contiguously Each participant node is first updated individually After that they all collectively vote on the update and prove it or not When all participants reach an agreement the ledger then gets updates to the latest change and all participants nodes save the same version Distributed NetworkA distributed network is a kind of network that expands across several networks This way these networks can function and operate together as a coherent unit or separately as individual units DifficultyDifficulty represents how hard it is how long it takes to find the hash needed to add a new block to a blockchain Digital SignatureA digital signature is used for identifying an entity which is sending a message Every electronic document contains a digital signature They are also used for nonrepudiation because they are authentic non forgeable and non reusable Multi SignatureA multi signature is a a digital signature type used for situations where a group of entities need to sign a document One combined signature composed by using a multi signature scheme from more entities is considered more secure and compact than a collection of signatures from entities Double SpendingDouble spending is an attack where an entity tries to spend the same crypto coins in more than one transaction at the same time blockchain tries to prevent double spending attacks by using timestamps on transactions and then by broadcasting them to the nodes that are in the network Various cryptocurrencies have developed ways for their networks to be immune to double spending attacks EthereumEthereum is a blockchain technology product that is based on the Turing complete programming language called Solidity The difference between Ethereum and other cryptocurrencies is that there is no limited scripting Ethereum is not only a platform and cryptocurrency but also a programming language It uses smart contract technology and it has smaller blocks then Bitcoin and other better known cryptocurrencies The average size of an Ethereum block is under KB EVMEthereum virtual Machine is a network of machines that run the same software and are public nodes SoliditySolidity is a high level programming language that is based on contracts Smart contracts can be implemented with it TestnetTestNet is a software that is used for testing out new features and changes to the blockchain without disrupting the primary blockchain software TestNets are identical to the original blockchain being tested Ethereum and bitcoin both use testnets ForkA fork represents an update to a blockchain and in essence they are a change to a cryptocurrency protocol Soft forksoft forks are backward compatible protocol changes This means that any nodes running an older version of the protocol are allowed to add new blocks to the blockchain as long as they respect the new protocol If a node tries to process a transaction that does not fall into the new protocol it will not be successful This kind of principle makes nodes running an older protocol version to update to the new version Hard forkHard forks are protocol changes that are not backward compatible this means that nodes which are running an older protocol version will not be able to process new transactions even though the transactions might fall into all protocol requirements Genesis BlockA genesis block represents the first block inside of a blockchain Hash RateA hash rate is the speed of computing hashes per second Hash rates were much slower when bitcoin miners mined with CPUs Later hash rates increased when ASICs replaced CPUs MiningMining is the process of inserting a transaction into a blockchain s ledger where all previous transactions are also recorded Mining ensures the security of a blockchain and it is a method of achieving blockchain decentralization WalletsWallet is a digital wallet software that holds essential information related to users cryptocurrency These are things like private and public keys and bitcoin addresses They can perform different functions that are important for manipulating cryptocurrency such as sending and receiving bitcoins CPU miningCPU mining is the action of executing computations with a computer s CPU for the purpose of mining an asset of value In most cases these are cryptocurrencies like bitcoin CPU mining was the first way bitcoins could be mined But this technique isn t as profitable now so more advanced methods are used GPU miningGPU mining is the action of executing computations with a computer s GPU for the purpose of mining an asset of values usually cryptocurrencies NodesIn the context of blockchains nodes are parts of the blockchain network that carry out different functions such as transaction validation mining or other tasks depending on the kind of blockchain and its purpose ASIC Application Specific Integrated CircuitASIC are a type of ICs created significantly for some application or other specific intent instead of being built for general use LedgerA ledger is a digital record of all transactions that an organization has performed	2022-04-18 06:36:48
海外TECH	DEV Community	Global Skincare Devices Market Outlook (2022-2032)	https://dev.to/monikak13/global-skincare-devices-market-outlook-2022-2032-4d9p	Global Skincare Devices Market Outlook Sales of skincare devices were valued at US Bn in and are expected to gather momentum reaching US Bn by the end of Furthermore the market is forecast to expand x to be valued at US Bn in The growing incidences of skin diseases and skin cancer are the key factors propelling the market during the forecast period As per the American Cancer Society s estimates in about new melanomas will be diagnosed amongst men and women and about are expected to die The lifetime risk of getting melanoma is about for whites Request a report sample to gain compressive insights at rep id Competitive LandscapeKey players of the global skincare devices market adopt various tactics to enhance their customer base Acquisition partnership and collaboration are some of the methods adopted by the vendors to strengthen their position in the market Some of the developments among the key players are •In August Shiseido inked an agreement to enter into a Joint Venture with Ya Man Ltd The new company called Effectim Co began the operations in October and owned in favor of Shiseido •In November Lancer Skincare joined hands with the tech startup ByondXR and launched The Virtual Lancer Dermatology Shop The new virtual store will offer in home benefits of Lancer dermatology through a digital platform Full Access of this Exclusive Report is Available at rep id Key Segments Covered in the Skincare Devices Market Report•By Product o Diagnostic DevicesDermatoscopesMicroscopesBiopsy DevicesOther Imaging Deviceso Treatment DevicesLight Therapy DevicesLasersElectrosurgical EquipmentLiposuction DevicesMicrodermabrasion DevicesCryotherapy Devices•By Application o Diagnostic DevicesSkin Cancer DiagnosisOther Skincare Diagnostic Deviceso Skincare Treatment DevicesSkincare Devices for Hair RemovalSkincare Devices for Skin RejuvenationSkincare Devices for Acne Psoriasis amp Tattoo RemovalSkincare Devices for Wrinkle Removal and Skin ResurfacingSkincare Devices for Body Contouring and Fat RemovalSkincare Devices for Cellulite ReductionSkincare Devices for Vascular and Pigmented Lesion RemovalOther Skincare Treatment Devices•By End Use o Skincare Devices for Hospitalso Skincare Devices for Clinicso Skincare Devices for Other End UsesAbout Fact MRMarket research and consulting agency with a difference That s why of Fortune companies trust us for making their most critical decisions We have offices in US and Dublin whereas our global headquarter is in Dubai While our experienced consultants employ the latest technologies to extract hard to find insights we believe our USP is the trust clients have on our expertise Spanning a wide range from automotive amp industry to healthcare amp retail our coverage is expansive but we ensure even the most niche categories are analyzed Reach out to us with your goals and we ll be an able research partner Contact US Sales Office Rockville PikeSuite Rockville MD United StatesTel E Mail sales factmr com Corporate Headquarter Unit No AU H Gold Tower AU Plot No JLT PH IA Jumeirah Lakes Towers Dubai United Arab EmiratesVisit Our Website	2022-04-18 06:21:28
海外TECH	DEV Community	Team 2 Test	https://dev.to/bhaveesarna/team-2-test-4k86	testteam	2022-04-18 06:11:44
海外TECH	DEV Community	Image classification app in Android using custom TFLite model	https://dev.to/codemaker2015/image-classification-app-in-android-using-custom-tflite-model-4mfp	Image classification app in Android using custom TFLite modelTechnology plays a vital role in our daily life Artificial intelligence and machine learning are the two key players in automation Also image classification is the subpart of machine learning used in many areas such as medical education automotive gaming traffic control systems and more TensorFlow is a free and open source software library for machine learning and artificial intelligence It provides various functionalities like image classification image segmentation pose estimation gesture classification reinforcement learning and all  In this section we are trying to create an image classification app in android studio using the TensorFlow lite library Getting StartedImage classification is a supervised learning method where we define a set of target classes and train a model to recognize them using labeled images So the image classification algorithm takes an image as input and classifies it into one of the output classes It s hard to do image classification from scratch on edge devices The TensorFlow library is an awesome resource to build an image classification functionality in your app seamlessly TensorFlow examples contains an example application for TensorFlow Lite on Android It uses Image classification to continuously classify whatever it sees from the device s back camera The inference is performed using the TensorFlow Lite Java API The demo app classifies frames in real time displaying the topmost probable classes It allows the user to choose between a floating point or quantized model select the thread count and decide whether to run on CPU GPU or via NNAPI RequirementsAndroid Studio Android SDK Java JDK Android device in developer mode with USB debugging enabled ModelsTensorflow official repository provides models bundled in the app MobileNetV float MobileNetV quantized EfficientNetLite float and EfficientNetLite quantized Particularly we chose mobilenet v and efficientnet lite  Downloading extracting and placing the model in the assets folder is managed automatically by download gradle For details of the model used visit Image classification Develop an image classification appTensorflow is already come up with plenty of examples It also includes the image classification example with pre trained generic models which is already mentioned above So we are trying the pre trained model first After that will try a custom model which is created using the teachable machine Step Clone the TensorFlow examples source codeClone the TensorFlow examples GitHub repository to your computer to get the demo application git clone Open the TensorFlow example in Android Studio To do this open Android Studio and select Open setting the folder to examples lite examples image classification android Step Build the Android Studio projectSelect Build gt Make Project and check that the project builds successfully  This image classification app demonstrates two implementation solutions lib task api that leverage the out of box API from the TensorFlow Lite Task Library and lib support that create the custom inference pipeline using the TensorFlow Lite Support Library You can change the build variant to whichever one you want to build and run just go to Build gt Select Build Variant and select one from the drop down menu See configure product flavors in Android Studio for more details The file download gradle directs Gradle to download the models used in the example placing them into assets Step Install and run the appConnect the Android device to the computer and be sure to approve any ADB permission prompts that appear on your phone Select Run gt Run app Select the deployment target in the connected devices to the device on which the app will be installed This will install the app on the device To test the app open the app called TFL Classify on your device When you run the app the first time the app will request permission to access the camera  NB Do not delete the assets folder content If you explicitly deleted the files choose Build gt Rebuild to re download the deleted model files into the assets folder There you have it Your own image classification App  Custom model integrationSo far we have tried image classification with pre trained model If you are planning to integrate a custom model into the app then we can go with the Teachable Machine online tool to train your own model   Step Custom model creationOpen in your browser You will get a screen like this Provide the class name as the object name which we are trying to train here  After that you can use the webcam or upload option to upload the object images It is recommended to upload at least images for an object NB The TensorFlow android example app code requires at least classes for initializing the image classification engine So try to add three or more classes Click on the Train Model button to train your model  After model training the Export Model button becomes active Click on Export Model button to get the export option window  Select Tensorflow Lite Quantized conversion type and click on the Download my model button to download your custom model Step Custom model integrationExtract the converted tflite quantized zip file to get model tflite and labels txt file Create a folder named converted tflite quantized Add these two files to that folder Then copy that folder inside models src main assets folder  Open the ClassifierQuantizedMobileNet java file from the lib support library and modify getLabelPath and getModelPath to Overrideprotected String getModelPath return converted tflite quantized model tflite Overrideprotected String getLabelPath return converted tflite quantized labels txt Open the ClassifierQuantizedMobileNet java file from the lib task api library and modify getModelPath to Overrideprotected String getModelPath return converted tflite quantized model tflite Step Install and run the appConnect the Android device to the computer and be sure to approve any ADB permission prompts that appear on your phone Select Run gt Run app The labels txt file contains labels with their indices So you might get only the index of the class instead of class name while running the custom model In that case remove the indices from the label txt file There you have it Your own image classification App with your own model  Thanks for reading this article If you enjoyed this article please click on the clap button and share to help others find it Originally posted on Medium Image classification app in Android using custom TFLite model	2022-04-18 06:09:52
海外TECH	DEV Community	Adding Gray Scale Filter - Pigshell	https://dev.to/thevinitgupta/adding-gray-scale-filter-pigshell-fhk	Adding Gray Scale Filter PigshellI hope you haven t forgotten about Pigshell Well I am not writing this post to share my completion I ll be sharing my current progress What I have completed Unfortunately my laptop didn t want to get charged up So I could not post any updates I have completed loading the image and adding a grayscale filter to the uploaded image It took me a little time to implement this as I had not worked with lt canvas gt HTML element before The working steps are explained below Step Taking Image to ConvertThe thing is uploading images are easy Just take an input element and specify the type of input lt input type file accept image name uploadedImage id uploadedImage gt Now there are elements to this line type file accept image The first one is simple only accept file type inputThe second one is also similar to it only accept images but what does the mean It means the you can give any type of image as input like png jpg jpeg and svg Step Displaying the Uploaded ImageThe next step was to display the image just inserted by the user This might seem simple just have a lt div gt lt div gt that displays the image But there are things to understand here The uploaded image is a blob and you cannot display a blob directly in HTML We create a URL for the uploaded image and add it to the lt img gt element Note that I am using React so the syntax is JSX lt img src previewImage alt to convert ref uploadRef gt const previewImage setPreviewImage useState null const uploadRef useRef null function fileChangedHandler event setImageToConvert new Image event target files setPreviewImage URL createObjectURL event target files But there are issues with the styling here The images uploaded maybe landscape or portrait mode and The image size may exceed the size of the div Naturally I had to use a max width and object fit contain properties together to make the image adjust Step The main event Loading image to CanvasWhen trying to think how to convert images to pixel values the first thing that came to my mind was canvas The next thing tat came I don t know how Naturally I headed to MDN and studied about it I came to the conclusion that loading images to canvas is very simple You can also checkout this post by FreeCodeCamp for a detailed explanation for that The code I used is this in React const canvRef useRef null I am using this to refer to the canvas element as I cannot use querySelector in React const loadImageToCanvas gt const canvas canvRef current const ctx canvas getContext d const currImage new Image currImage src previewImage canvas height currImage height canvas width currImage width ctx drawImage currImage canvas width canvas height This code simply loads the image to the canvas But there was a confusion that made me slow down What do I pass as the image in the drawImage function I tried passing the file uploaded directly as this was my first thought But this didn t work Then I understood after some reading that the function accepts the Image object only So I had to use this piece of code to get that const currImage new Image currImage src previewImage Step Grayscale FilterAn important concept that I learned in my Image Processing class is that The grayscale value of a pixel in a color image in the average of the Red Green and Blue values of that pixel I had to use it here But how to get the rgb value of a particular pixel I came across a function getImageData which was a function of the canvas element This returns an array not a simple one but something called a UintClampedArray which we can iterate over and get the RGBA values of each pixel We can just calculate the average and replace the original data for that particular pixel This magically gives us the grayscale image of the original image And there we have it the current status of Pigshell You can checkout the whole code here on GithubDo remember to checkout the previous post to see the plan Cover Image by Jakob Owens on Unsplash	2022-04-18 06:08:37
海外TECH	DEV Community	Getting Started with EHRbase	https://dev.to/dendihandian/getting-started-with-ehrbase-1b29	Getting Started with EHRbase PrerequisitesHave Docker amp DockerCompose installed on your machine Running EHRBase DB with DockerComposeDownload These Files and put them in one folder so the structure will be simple enough ehrbase dev docker compose yml env ehrbasethe env ehrbase contains settings and some security credentials You may want to change it or just leave as it is for testing Open your terminal command prompt where you can execute docker commands Go the folder containing the above files via terminal and execute the docker compose command docker compose up dand wait for the images being pulled and container being built You can check if the services are running by using docker compose ps or using docker stats to see the amount of resources taken by the services The EHRbase Swagger UIThe swagger documentation is available at http localhost ehrbase swagger ui index html by default	2022-04-18 06:04:41
海外TECH	DEV Community	My coding journey	https://dev.to/mikkelinomikkelone/my-coding-journey-2n6d	My coding journeyHello Dear Reader My name is Nicholas Szolnok a Hungarian man with big dreams and aspirations I am an Electronics Engineer graduate who got familiar with the programming world in the university years and wants to be a developer in the future You might be wondering why have I started with writing content to the world out there I just want to make the IT world more inclusive for newcomers Reasons for starting this blog Improving my technical writing abilitiesHelping others to be included in the IT worldShowing myself that I can learn new things on the go My goals regarding the blog Update it weeklyInclude programming projects besides the projects that I am working onSpread the wordThank you for reading I hope I might inspire you in the following years	2022-04-18 06:03:58
海外TECH	DEV Community	RADU: Motor Controller Software for Arduino and Raspberry Pico	https://dev.to/admantium/radu-motor-controller-software-for-arduino-and-raspberry-pico-2nh7	RADU Motor Controller Software for Arduino and Raspberry PicoBuilding a robot is a unique project with several design decisions Starting from the general chassis sensors actuators and visuals down to the concrete microcontroller libraries and programming languages Specifically the later encompasses Arduino Teensy ESP Raspberry Pico and C C Python MicroPython and Lua This article presents a compact overview about all options you have when working with Arduino C or a Raspberry Pico with MicroPython It lists and explains the available libraries and discusses for which purposes you can use them Furthermore it also distinguishes between ROS and ROS compatible libraries This article originally appeared at my blog admantium com ROSThe Robot Operating Software Version is a widely used robotics middleware standard used in hobbyists and industrial robots alike Several projects from the Community featuring Arduino based robots and ones based on the Raspberry Pi can be found The options for choosing a serial communication library are plenty Universal LibrariesA core package of ROS is the Rosserial It supports several concrete microcontrollers including the Arduino STM Teensy Effectively this package is a set of C C headers that you incorporate in your microcontroller code Then you can directly receive and send ROS messages using the imported ROS message format The receiver e g your single board computer needs to implement a ROS server Here you can use either C or Python There are several examples in the Github repository I also recommend a great blog article about connecting ROS to Arduino with LD to directly convert TWIST messages to motor controller PWMs When you want to combine a simulation of your Robot to a real world robot that is visualized in Gazebo and RViz then check the ROS Control framework This framework provides an abstraction of your robot On the top level you have Controllers for aspects like the position of joints or for concrete velocity and effort effects These controllers read and write to a concrete robot via a hardware interface The hardware interface is a C library that needs to run on the robot s hardware Using this to drive your robot requires you to write custom code that is compatible to this library Finally the ROS Motor Controller Drivers documentation page details how to use this very specific set of motors PhidgetMotorControl HC Roboteq AX Motor ControllerRobotis Dynamixel ServosEsmacat Motor DriverChip RoboticsYou can also use the default client languages C C and Python to manually subscribe to topics and interface with your connected microcontroller ArduinoQuite contrary to its name Simple Drive is a powerful and complete solution with full ROS compatibility It allows you to use a joystick for moving your robot in real time This is achieved by starting a series of ROS nodes that will translate ROS topic for joystick controls down to Twist messages in the cmd vel topic and then transform these commands via a custom USB protocol to generate PWM on a connected Arduino device The ROS side of this project is implemented in Python The code running is a custom C firmware in which you can embed other Arduino C code ROSROS is the successor of ROS with a focus on implementing industrial robots The most profound change is the overall network architecture Instead of a central master node server independent nodes can be started and communicate with each other The network stack is based on the Data Distribution Standard an industry standard for real time systems using a publish subscriber pattern Although its available since there are not many projects from robot hobbyists that use ROS and also the options for establishing a serial connection to microcontrollers are limited Instead nodes should implement a DDS compliant network stack UniversalROS does not provide a package similar to rosserial A technical study how serial communication could be implemented is the ROS serial bridge The basic idea Incoming data from the ROS network is serialized and send to the microcontroller and received messages are translated to ROS messages However this not a concrete library Alternatively you can use the default client libraries like rclpy or rclcpp for writing custom code that reads and writes ROS messages ArduinoWhen you want to use an Arduino compliant board you can either use a serial connection from a host computer to Arduino MicroROS is a project to implement a complete ROS node in your microcontrollers The experimental MicroROS Arduino branch extends Arduino programs with additional C C headers for full ROS compatible message subscription and publication Specifically its provides as precompiled binaries that support specific Microcontrollers such as the Arduino Nano RP Connect or the Teensy The list of natively supported ROS messages is impressive The ROSArduino library support more powerful Arduino Boards with at lest KB RAM and a TCP IP hardware Internally it is build on top of the Micro XRCE DDS framework which provides Serial UDP or TCP connections According to the documentation it only supports ROS up to the Dashing Diademata distribution ROS Independent UniversalThe Firmata Protocol provides an abstraction layer for communicating with a microcontroller to read and write its GPIO pins Currently it works with Arduino based microcontroller To use this you need to install the Firmata firmware on your microcontroller and then use the client library for sending Firmata commands The protocol support different client libraries like Python Pymata or other languages like JavaScript and Ruby There are no ROS abstractions which means inside the client you would need to write custom code for processing and generating ROS messages Raspberry PiWhen Running ROS on your Raspberry Pi you will need to write a custom wrapper for your ROS messages as there is not direct library The most commonly used library for programming the Raspberry Pico is RPI GPIO This allows easy access to the GPIO pins including software bases PWM that can be used to control external sensors You can also interface any connected microcontroller directly to the Tx Rx pins The second option is to use Pyserial With only a few lines of code you can create a serial connection over USB to any connected microcontroller Still experimental is UIF a very specific library to run MicroPython code on a host computer like an Raspberry Pi to which a Raspberry Pico is connected via USB The MicroPython environment gives full access to the GPIO Pins and additional bus systems like IC or SPI All of these options however do not have an ROS compatible abstraction included you will need to write your own wrapper This means to run ROS nodes on the Raspberry Pi which subscribe to topics or publish to topics and then connecting these nodes via serial to your microcontroller Messages exchanged via serial could mirror the original ROS message or you invent your own language Comparing the LibrariesThe choice for connecting ROS ROS to your microcontroller code are plenty However we can distil them into three categories Embedded ROS This category means to run ROS and the code to control sensor and actuator on the same device In ROS you can use rosserial to obtain ROS message interfaces and access to publish subscribe function The actual message passing is done via the serial connection to a connected host computer on which you need to setup a ROS node This library works with many boards In ROS you can use the experimental MicroROS library You have similar options to work with ROS message formats but sending and receiving messages is done best via UDP and TCP Therefore you need more powerful boards which are equipped with TCP IP hardware ROS Wrapper In this category you have a host computer to which the client microcontroller is connected The host computer starts a ROS node that is responsible for reading processing and writing ROS messages The node code communicates with the connected microcontroller node via a custom message format that you invent On the host computer you would run rosc or rospy and then add Firamata RPI Gpio and similar libraries that will implement your custom message format and send it to the connected microcontroller Full Integration The third category are complete frameworks that handle the ROS abstractions and the microcontroller interface In this category we can only place Simple Drive for ROS So which option should you use If you want to be most flexible you will use the ROS wrapper approach This allows you to work with ROS or ROS and with any combination of host computer and microcontroller However you would need to write your own message handling code If you want to work with an Arduino board and ROS use the embedded ROS approach with rosserial a full compatible and mature version If you use ROS try MicroROS ConclusionConnecting your host computer with microcontroller that runs C C or MicroPython and make it ROS compatible provides you with plenty options There are three categories Embedded ROS means to work with microcontroller code that uses ROS abstractions directly The message types and publication subscription to topics The ROS Wrapper approach means to separate microcontroller code from the code running on the host computer The host subscribes publishes ROS messages and communicates with the microcontroller via a custom message format This approach gives you the most options to work with any microcontroller and framework as well as to use either ROS or ROS The last option full integration is only available with one ROS compatible library	2022-04-18 06:01:33
医療系	医療介護 CBnews	使用済み内視鏡、洗浄・消毒せずに別の患者に使用-医療機能評価機構が注意喚起	https://www.cbnews.jp/news/entry/20220418150659	使用済み	2022-04-18 15:10:00
金融	JPX マーケットニュース	[TOCOM]最終決済価格（2022年5月限）：LNG（プラッツJKM）	https://www.jpx.co.jp/markets/derivatives/special-quotation/index.html	jkmtocom	2022-04-18 15:15:00
金融	ニッセイ基礎研究所	デジタル遺品を取り巻く現状～急がれる共通ルールの整備～	https://www.nli-research.co.jp/topics_detail1/id=70916?site=nli	以下では、財産的価値を有さないデジタル遺品のうち、遺族等の対応が必要となる可能性が高いと思われるポイント・前払式決済手段電子マネー、SNSアカウント、をめぐるサービス提供事業者の対応事例について確認する。	2022-04-18 15:56:59
金融	ニュース - 保険市場TIMES	保険市場、2022年4月版の月間資料請求ランキングを発表	https://www.hokende.com/news/blog/entry/2022/04/18/160000	保険市場、年月版の月間資料請求ランキングを発表月版も東京海上日動あんしん生命が最多ランクインアドバンスクリエイトは月日、同社が運営する国内最大級の保険選びサイト「保険市場」にて、年月版の「月間資料請求ランキング」を発表した。	2022-04-18 16:00:00
ニュース	@日本経済新聞 電子版	「三菱商事とENEOS、再生航空燃料を生産へ 国内で供給網」の英文記事をNikkei Asia @NikkeiAsia に掲載しています。 ▶️ Japan's Mitsubishi and Eneos to mass-prod… https://t.co/ugorbLFF3h	https://twitter.com/nikkei/statuses/1515945832725598209	「三菱商事とENEOS、再生航空燃料を生産へ国内で供給網」の英文記事をNikkeiAsiaNikkeiAsiaに掲載しています。	2022-04-18 06:50:26
ニュース	@日本経済新聞 電子版	台湾にJポップライブラリー　知られざる70~80年代紹介 https://t.co/24vwDLMgDQ	https://twitter.com/nikkei/statuses/1515941788137422852	年代	2022-04-18 06:34:21
ニュース	@日本経済新聞 電子版	三菱重工、トラック輸送できる超小型原発　30年代商用化 https://t.co/h3tJACAari	https://twitter.com/nikkei/statuses/1515938755945050115	三菱重工	2022-04-18 06:22:18
ニュース	@日本経済新聞 電子版	日経平均続落、終値293円安の2万6799円 https://t.co/jkNi3rzp7E	https://twitter.com/nikkei/statuses/1515937222583005184	日経平均	2022-04-18 06:16:13
ニュース	@日本経済新聞 電子版	タイ電力ガルフ、バイナンスと仮想通貨交換事業に参入へ https://t.co/71O0oOIOZq	https://twitter.com/nikkei/statuses/1515935995052847108	仮想通貨	2022-04-18 06:11:20
ニュース	@日本経済新聞 電子版	今夜のプラス9　中国「ゼロコロナ」で景気減速？ https://t.co/Y3DOWULkzG	https://twitter.com/nikkei/statuses/1515934055367249923	景気減速	2022-04-18 06:03:38
ニュース	@日本経済新聞 電子版	好調マックが変えた顧客アプローチ　午後6時から配信 https://t.co/iu4xz9sGCj	https://twitter.com/nikkei/statuses/1515933324958924800	顧客	2022-04-18 06:00:44
海外ニュース	Japan Times latest articles	Explosions rock Ukraine as bodies line streets of Mariupol	https://www.japantimes.co.jp/news/2022/04/18/world/ukrainians-russian-surrender-mariupol-easter-of-war/	Explosions rock Ukraine as bodies line streets of MariupolAfter failing to overcome Ukrainian resistance in the north Russia has refocused its ground offensive on the Donbas region while launching long distance strikes at targets	2022-04-18 15:45:04
海外ニュース	Japan Times latest articles	Japan to ‘closely communicate’ with visiting South Korean delegation	https://www.japantimes.co.jp/news/2022/04/18/national/politics-diplomacy/south-korea-yoon-delegation-visit-japan/	Japan to closely communicate with visiting South Korean delegationThe delegation will travel to Tokyo from April and is hoping to meet with Prime Minister Fumio Kishida over the two neighbors strained ties	2022-04-18 15:19:45
海外ニュース	Japan Times latest articles	Japanese farmers hit by higher grain and fertilizer prices	https://www.japantimes.co.jp/news/2022/04/18/business/japanese-farmers-grain-fertilizer-prices/	Japanese farmers hit by higher grain and fertilizer pricesThe government has increased the size of its price stabilization fund but there are concerns that the fund may run out according to an LDP	2022-04-18 15:18:56
海外ニュース	Japan Times latest articles	Treasurys’ biggest foreign buyers to return on weakening yen	https://www.japantimes.co.jp/news/2022/04/18/business/financial-markets/yen-weakness-treasurys/	Treasurys biggest foreign buyers to return on weakening yenMoney managers in Japan see conservative buyers like life insurers helping the country reaffirm its position as the biggest foreign holder of Treasurys after heavy	2022-04-18 15:04:16
ニュース	BBC News - Home	Rwanda asylum critics have no solutions, says Patel	https://www.bbc.co.uk/news/uk-61137081?at_medium=RSS&at_campaign=KARANGA	canterbury	2022-04-18 06:33:11
ニュース	BBC News - Home	Falklands veteran recalls HMS Coventry bombing and rescue	https://www.bbc.co.uk/news/uk-england-bristol-61095749?at_medium=RSS&at_campaign=KARANGA	yeovilton	2022-04-18 06:14:03
ニュース	BBC News - Home	Wales' hospitality businesses struggle to recruit staff	https://www.bbc.co.uk/news/uk-wales-61094777?at_medium=RSS&at_campaign=KARANGA	india	2022-04-18 06:24:59
ビジネス	ダイヤモンド・オンライン - 新着記事	大幅安の米国債、投資家の痛みさらに拡大か - WSJ発	https://diamond.jp/articles/-/301858	米国債	2022-04-18 15:01:00
仮想通貨	BITPRESS（ビットプレス）	BTCBOX、4/18より「かんたん売買」において「ドージコイン（DOGE）」取扱開始	https://bitpress.jp/count2/3_10_13172	btcbox	2022-04-18 15:27:04
IT	週刊アスキー	ミヨシ、「Apple Watch磁気充電アダプタ IAW-AD02」と「充電ポート搭載ホストアダプタシリーズ」を順次販売	https://weekly.ascii.jp/elem/000/004/089/4089528/	applewatch	2022-04-18 15:40:00
IT	週刊アスキー	『ウマ娘 プリティーダービー』新育成ウマ娘★3「ヤエノムテキ」が4月19日より出走！	https://weekly.ascii.jp/elem/000/004/089/4089518/	育成	2022-04-18 15:20:00
マーケティング	AdverTimes	サントリークラフトボス「ミルキープレッソ」、謎の「ニューニュー語」のCM公開	https://www.advertimes.com/20220418/article381969/	発売	2022-04-18 07:00:00
マーケティング	AdverTimes	「まだ会員数ありきでない」　キリン会員制生ビール新たに2社	https://www.advertimes.com/20220418/article381970/	執行役員	2022-04-18 06:08:03