投稿時間:2022-09-01 01:36:20 RSSフィード2022-09-01 01:00 分まとめ(42件)

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AWS	AWS Big Data Blog	New row and column interactivity options for tables and pivot tables in Amazon QuickSight – Part 2	https://aws.amazon.com/blogs/big-data/part-2-new-row-and-column-interactivity-options-for-tables-and-pivot-tables-in-amazon-quicksight/	New row and column interactivity options for tables and pivot tables in Amazon QuickSight Part Amazon QuickSight is a fully managed cloud native business intelligence BI service that makes it easy to create and deliver insights to everyone in your organization or even with your customers and partners You can make your data come to life with rich interactive charts and create beautiful dashboards to share with thousands of users either directly …	2022-08-31 15:53:40
AWS	AWS Big Data Blog	Store Amazon EMR in-transit data encryption certificates using AWS Secrets Manager	https://aws.amazon.com/blogs/big-data/store-amazon-emr-in-transit-data-encryption-certificates-using-aws-secrets-manager/	Store Amazon EMR in transit data encryption certificates using AWS Secrets ManagerWith Amazon EMR you can use a security configuration to specify settings for encrypting data in transit When in transit encryption is configured you can enable application specific encryption features for example Hadoop HDFS NameNode or DataNode user interfaces use HTTPS Hadoop MapReduce encrypted shuffle uses Transport Layer Security TLS Presto nodes internal communication uses SSL TLS Amazon …	2022-08-31 15:50:32
AWS	AWS	Getting Started with Amazon Aurora Serverless v2 | Amazon Web Services	https://www.youtube.com/watch?v=UJIDaVmoRT0	Getting Started with Amazon Aurora Serverless v Amazon Web ServicesAmazon Aurora Serverless v is an on demand auto scaling configuration for Amazon Aurora It scales instantly to hundreds of thousands of transactions in a fraction of a second As it scales it adjusts capacity in fine grained increments to provide the right amount of database resources that the application needs You pay only for the capacity your application consumes and you can save up to of your database cost compared to the cost of provisioning capacity for peak load In this demo we ll show you how to get started Learn more Subscribe More AWS videos More AWS events videos ABOUT AWSAmazon Web Services AWS is the world s most comprehensive and broadly adopted cloud platform offering over fully featured services from data centers globally Millions of customers ーincluding the fastest growing startups largest enterprises and leading government agencies ーare using AWS to lower costs become more agile and innovate faster AWS AmazonWebServices CloudComputing	2022-08-31 15:01:25
python	Pythonタグが付けられた新着投稿 - Qiita	単語検索 with Alfred workflow (Longman英和・和英)	https://qiita.com/kentoak/items/f08c914f1f5c41c09597	alfred	2022-09-01 00:43:22
python	Pythonタグが付けられた新着投稿 - Qiita	DjangoをVSCode+Anacondaで開発（Windows）	https://qiita.com/Lintaro/items/539b16a9add9036bb078	django	2022-09-01 00:22:51
js	JavaScriptタグが付けられた新着投稿 - Qiita	三項演算子　returnできない時の対処法	https://qiita.com/yuuki-h/items/dbd3300bb43a723ae407	return	2022-09-01 00:50:36
js	JavaScriptタグが付けられた新着投稿 - Qiita	JavaScriptのNumberについて	https://qiita.com/hu-yu/items/d5f01311fe3584f7d8e9	httpsjav	2022-09-01 00:40:10
js	JavaScriptタグが付けられた新着投稿 - Qiita	Reactでinputとbuttonのイベント	https://qiita.com/popo62520908/items/810b5942023ac73e8579	jsxbuttonjsconstbutt	2022-09-01 00:16:27
Ruby	Rubyタグが付けられた新着投稿 - Qiita	Rubyで標準入力から値を受け取る方法 2022年版	https://qiita.com/Ota-T/items/34a02b1f17864af11b99	rubyline	2022-09-01 00:18:10
AWS	AWSタグが付けられた新着投稿 - Qiita	ラズパイとAWS IoTを使った見守りシステム自作で学んだこと（１０）cliでラズパイ環境とAWSリソースを構築	https://qiita.com/nsaito9628/items/0339662ed04ba56bbb44	awsiot	2022-09-01 00:21:14
海外TECH	MakeUseOf	How to Protect Your Raspberry Pi Data From Loss or Theft	https://www.makeuseof.com/how-to-protect-your-raspberry-pi-data-from-loss-or-theft/	raspberry	2022-08-31 15:30:14
海外TECH	MakeUseOf	How to Reset the Local Group Policy Settings to Default in Windows 11	https://www.makeuseof.com/windows-11-local-group-policy-default/	windows	2022-08-31 15:16:14
海外TECH	DEV Community	Configuring GitHub's Linguist to Improve Repository Language Reporting	https://dev.to/cicirello/configuring-githubs-linguist-to-improve-repository-language-reporting-295b	Configuring GitHub x s Linguist to Improve Repository Language ReportingIn this post I explain how to configure GitHub s Linguist within your repository to enable more accurate and more relevant repository language reporting with examples from a few of my own repositories Every repository on GitHub has a chart that shows the distribution of languages detected in the repository GitHub s Linguist is responsible for detecting the language of each file within your repository and the reported percentages are based on file sizes For example Java means that of the total size of all detected files in the repository are Java files There are also third party tools that display language statistics such as the user statistician GitHub Action that I developed and maintain which includes on an SVG among other things a pie chart summarizing the language distribution across all of your public repositories excluding forks The language data necessary to generate that language chart comes from GitHub s GraphQL API which is as it is reported for each of your repositories by Linguist For examples of the language charts generated by user statistician see my DEV post from last week The user statistician GitHub Action mentioned in Awesome README Vincent A Cicirello・Aug ・ min read github showdev tutorial webdev Here are a couple examples from my repositories of the language charts built in to every GitHub repository GitHub Language Chart From GitHub Language Chart From What can you do if the reported languages are not as you expect The remainder of this post explains and provides examples of how you can configure Linguist in your repository for those cases where what Linguist reports is not as you expect Contents The rest of this post is organized as follows Linguist s DefaultsHow to Configure Linguist in Your RepositoryFind Out MoreWhere You Can Find Me Linguist s DefaultsLinguist automatically excludes a variety of things including entire categories of languages but it is possible to override all of its defaults Linguist has each language classified into one of the following language types programming markup data and prose You can find how each language is classified in Linguist s languages yml By default Linguist includes in a repository s language statistics only programming languages and markup languages while it excludes data languages and prose languages An example of a prose language is Markdown If not for Linguist s default exclusion of all prose languages nearly every repository would have Markdown in its language chart due to the pervasiveness of Markdown s use for documenting projects A few examples of common languages that Linguist classifies as data languages include XML JSON YAML SQL and GraphQL So unless you configure Linguist in your repository all of these as well as other data languages will be excluded Linguist also excludes files within paths that are commonly used for documentation such as all files within a docs directory This is certainly desirable behavior Imagine that you have a Java project and that you are serving the javadocs via GitHub Pages from a docs directory in your default branch If not for excluding documentation HTML might be identified as a significant percentage of the repository which would be a bit strange in such an instance Linguist also excludes by default any code that it detects as either generated or vendored code Linguist has detailed documentation on each of these categories along with how you can override its default behavior How to Configure Linguist in Your RepositoryAll of Linguist s default behavior can be overridden Here are some examples of how to do some overrides The first step is creating a file named gitattributes at the root of your repository if you don t already have one for another reason All configuration takes place in that gitattributes file Misidentified LanguageI haven t encountered a case of incorrect language identification yet But if you do you can correct it Perhaps you are using an unusual file extension for a given language Since I haven t seen this case yet my example of how to fix it is fake Let s say you have some reason to use the extension j for Java I can t think of a good reason to do this or even bad reasons for that matter so don t actually use such an extension There is no way that Linguist will get this right on its own But you can direct it to classify such files as Java with j linguist language Java Including A Data LanguageAs mentioned Linguist excludes data languages by default including among others XML JSON YAML SQL and GraphQL In most cases you probably do want to exclude these especially languages like XML JSON and YAML that are commonly used for configuration data One of my projects is the user statistician GitHub Action To assist new users setting up workflows to use it the repository has a directory with Quickstart Workflows each of which is a YAML file the language used by GitHub Actions to specify CI CD workflows Since YAML is classified as a data language all of these quickstart workflows are excluded from the language statistics by default That project also has a few GraphQL files with GraphQL queries GraphQL is likewise excluded by default as a data language In this repository I have configured Linguist to include both of these with the following in that repository s gitattributes file graphql linguist detectablequickstart yml linguist detectableI used quickstart yml linguist detectable instead of yml linguist detectable because the latter would include yml files from the github workflows directory which are CI CD workflows for this repository whereas those that I put in the quickstart directory are there as examples of how to use the action In general to include a data language or a prose language which would be otherwise excluded add a line to the gitattributes with a pattern describing the files you want it to include followed by linguist detectable Excluding a Language or DirectoryPerhaps there is a language or maybe just a directory you d like to exclude There are multiple ways to accomplish this Which you should use likely depends upon the reason to exclude it As noted earlier Linguist excludes documentation by default provided it is able to detect something to be documentation such as if it lives in a common documentation path like docs For example one of my repositories InteractiveBinPacking is an educational tool implemented in Java with a few HTML files for contents of dialog boxes etc and also has a directory of example assignments with LaTeX source to enable course instructors to easily customize assignments HTML and LaTeX are both classified as markup languages and Java obviously as a programming language so those are all included by default so a language chart with Java HTML and TeX makes sense So far no configuration necessary I published a short journal article about the tool in the Journal of Open Source Education That journal conducts the peer review within the repository itself with a paper directory holding a Markdown file with the content of the paper and usually a BibTeX file with the citation data for the references of the paper Markdown is automatically excluded as prose which is fine here However the BibTeX file would by default be included in the TeX count The directory of example assignments in LaTeX is part of the purpose of the repository but this BibTeX file is in a sense part of the documentation of the tool I could exclude it with bib linguist detectableNotice the in the above Just as linguist detectable can be used to direct Linguist to include a language it normally excludes linguist detectable can be used to direct it to exclude a language it normally includes Instead I went with a more semantic approach and excluded the paper directory by specifying that it is documentation with the following you can also see the gitattributes of that project directly paper linguist documentationEither of these works If the reason you want to exclude a language that is otherwise included by default is because it is part of documentation then the latter approach better expresses your intent Find Out MoreThe language charts on the SVGs generated by the user statistician GitHub Action rely on the language data extracted by Linguist as reported by GitHub s GraphQL API For more information on that feature of the user statistician or if you are interested in using that action see its GitHub repository cicirello user statistician Generate a GitHub stats SVG for your GitHub Profile README in GitHub Actions user statisticianCheck out all of our GitHub Actions About user statistician GitHub Actions Build Status Source Info Contributors Support The cicirello user statistician GitHubAction generates a detailed visual summary of your activity on GitHub in the form of an SVGsuitable to display onyour GitHub Profile READMEAlthough the intended use case is to generate an SVG image for your GitHub Profile READMEyou can also potentially link to the image from a personal website or from anywhere elsewhere you d like to share a summary of your activity on GitHub The SVG that the actiongenerates includes statistics for the repositories thatyou own your contribution statistics e g commits issues PRs etc as well asthe distribution of languages within public repositories that you ownThe user stats image can be customized including the colors such as with oneof the built in themes or your own set of custom… View on GitHubFor additional examples of how you can configure Linguist see Linguist s documentation Where You Can Find MeOn the Web Vincent A Cicirello Professor of Computer Science Vincent A Cicirello Professor of Computer Science at Stockton University is aresearcher in artificial intelligence evolutionary computation swarm intelligence and computational intelligence with a Ph D in Robotics from Carnegie MellonUniversity He is an ACM Senior Member IEEE Senior Member AAAI Life Member EAI Distinguished Member and SIAM Member cicirello org Follow me here on DEV Vincent A CicirelloFollow Researcher and educator in A I algorithms evolutionary computation machine learning and swarm intelligence Follow me on GitHub cicirello cicirello My GitHub Profile Vincent A CicirelloSites where you can find me or my workWeb and social media Software development Publications If you want to generate the equivalent to the above for your own GitHub profile check out the cicirello user statisticianGitHub Action View on GitHub	2022-08-31 15:54:26
海外TECH	DEV Community	Evaluating Rust and its ecosystem	https://dev.to/donaldsebleung/evaluating-rust-and-its-ecosystem-1p	Evaluating Rust and its ecosystemI recently stumbled upon a series of blog posts detailing how to write a RISC V operating system from scratch using Rust that I wanted to follow along but then realized that I probably wouldn t be able to follow beyond blindly copy pasting code snippets unless I devoted the time and effort to master Rust programming and study the RISC V specification inside out So I decided to prepare myself for the blog series in two major steps Learn the Rust programming language its tools and ecosystem properly this time round andCarefully study the RISC V specification available through the official websiteAs you might ve guessed I ve just fulfilled to my satisfaction and ready to move onto in the coming days But before moving on I decided I should share my experiences with Rust as I ve found it to be a remarkable language with a remarkable community and ecosystem No wonder it made its way into the Linux kernel and many senior developers I ve encountered swear by it Rust the languageIf I had to sum up programming in Rust in a single sentence it would be this Programming in Rust is akin to programming in C but with the rigor of Haskell Being a systems programming language Rust programmers have to pay greater attention to low level details such as memory management like in C yet it provides robust functional programming capabilities that allows for powerful abstractions and clear concise declarative code in the likes of Haskell Furthermore Rust s ownership system and borrow checker is essentially its rigorous type system applied to reasoning about memory management which enables one to write memory safe code without having to perform error prone manual memory de allocation like in C nor having to rely on a garbage collector like Haskell and most high level programming languages The result is that Rust code tends to be readable maintainable safe and efficient with little to no runtime overhead in the resulting binary executable Of course this comes with a cost Rust s learning curve is steep compared to many other languages including both C and Haskell in my opinion So while it s a great language for seasoned developers and those already with a solid foundation in computing I definitely wouldn t recommend it to newcomers to programming as their first or even second to third language Rust the communityOne of the many things that impressed me about Rust apart from the design of the language itself is the community more specifically the learning resources available For learning the fundamentals of Rust I followed along The Rust Programming Language commonly known among Rustaceans what Rust programmers like to call themselves as the book which is the official introductory book to Rust programming offered directly by the Rust community It s a full chapters long at the time of writing filled with plenty of updated working code examples and detailed explanations of how things work and why they are the way they are along with suggestions for exercises and mini projects along the way you could follow or ignore to solidify your knowledge of a particular domain in Rust Having completed the book I have to say that it goes into much more depth and detail than any other no cost programming tutorial you could find online It covers everything from fundamentals like basic syntax the type system and usage of common built in data structures to advanced topics like project architecture and management concurrent programming and metaprogramming with macros To be honest it feels almost like the book could be used as a guiding text in a standard undergraduate computer science CS course It does assume some prior experience in programming though which is a reasonable trade off for learning such a powerful language in my opinion Rust the ecosystemAs if the features mentioned above weren t impressive enough already the tooling and ecosystem that comes with Rust by default is another testament to how well the language is designed and how well it has managed to learn from the numerous languages and paradigms it has taken inspiration from in order to avoid their pitfalls Here are just a few features I ve been introduced to built in to Rust which would almost certainly require external third party tooling in other programming languages at the very least Built in support for unit and integration testing in the likes of test driven development TDD Yes you don t even need to search for and install your favorite TDD framework because it s already built into the language by default Ability to automatically generate HTML documentation for any project and its dependencies with cargo docs it looks and behaves exactly like the official documentation you can find online Ability to generate a matching version of the book for your installed version of the Rust compiler with rustupAbility to automatically run the tests in code blocks within the generated HTML documentation with cargo test to verify that they actually work ConclusionRust is a well designed programming language with an amazing ecosystem that combines successful concepts across a range of programming languages and paradigms and avoids their pitfalls by learning from their mistakes at the cost of a steeper learning curve that may not be suitable for complete beginners As such it is an attractive option for seasoned developers who wish to further improve their programming skills and learn state of the art concepts and technologies What were your experiences with Rust and its ecosystem if any Feel free to discuss below	2022-08-31 15:21:37
海外TECH	DEV Community	12 handpicked resources for newbie developers	https://dev.to/arielbk/12-handpicked-resources-for-newbie-developers-45pc	handpicked resources for newbie developersLearning to code is hard It s great that there are so many resources to choose from but that also makes it difficult These are the best resources that really helped me while starting out or that I found out about later I m not a fan of listicles with resources that anyone could have found with a quick Google search These are handpicked IdentifyGet an idea of what coding is and what a developer actually does Find out what you re in for Eloquent JavaScript intro chapter ReadingThis book introduction is a great definition of programming and explains what a developer does in simple and practical terms The whole book is a fantastic intro to JavaScript Teach Yourself Programming in Ten Years ReadingThis pushes against the trend of short term thinking while learning It helps to put things in perspective and provides great advice for a longer time frame How to Learn Math for Students CourseCoding involves some amount of maths depending on what you do with it and many people have insecurities around that This course teaches how to approach and think about maths PodcastsListen to podcasts They are a great way to maximise your time and keep you inspired and connected CodeNewbie PodcastListen to people s stories and how they use code at their jobs This can inspire you and expand your ideas about what you could do with code SyntaxSyntax is a light and informal podcast The show hosts are two web developers who have been teaching for a long time but still keep up with the latest trends in the space Front End Happy HourFront End Happy Hour features experienced developers many from Netflix The vibe is light like after work drinks and you ll gain insights from senior developers at large companies Learning pathsSpend time exploring see what s out there and what you enjoy and then focus in Create a plan for your own learning It can change but only after deliberate consideration Pxt Guides GuideThis helped tremendously when I started plotting a path of what to learn Although it was created a few years ago now many of the resources are still very relevant today CS Introduction to Computer Science CourseThis is the first online computer science course I took It is difficult but very well structured It make the major topics approachable and lays a strong foundation for CS Web Dev for Beginners CourseMicrosoft s week web dev course is a great way to learn and practice the basics of web development This is the course I wished I d had when I started learning roadmap sh GuideRoadmaps are great for providing context before diving deeper into your next topic Pick a dev role you re interested in and see what kind of technologies you would need to know for that role HTML CSS JavaScriptTreat tutorials as a starting point and then decide if you want to explore things yourself or build out the tutorial project more Flexbox Zombies GameFlexbox is a crucial part of CSS to understand The syntax for it is unintuitive and can be difficult to remember This game teaches you and provides a way to practice it in a fun format JavaScript CourseBuild JavaScript projects over days without any additional libraries Once you re past learning the basic syntax of JavaScript you ll want to build actual projects These are some creative and fun ones to get you inspired Building projects is where the real learning happens You will come across roadblocks but this is how you learn to problem solve I m a frontend developer and some of these resources lean towards that but all of these should be applicable to whatever kind of coding you want to get into I ve purposely tried to keep this list short Once you ve studied the foundations get out there and build	2022-08-31 15:20:19
海外TECH	DEV Community	Using Edge Biometrics For Better AI Security System Development	https://dev.to/dmitriykisil/using-edge-biometrics-for-better-ai-security-system-development-2m6e	Using Edge Biometrics For Better AI Security System DevelopmentWorkspace security can be a fiddly money drain especially for corporations that deal with sensitive information or run multiple offices with thousands of employees Electronic keys are one of the standard options for how security systems can be automated but in reality there are tons of downsides like lost forgotten or faked keys Biometrics have shown solid alternatives to the conventional security measures since they represent a concept of “what you are authentication This means a person can use their unique characteristics like fingerprint iris voice or face to prove they have access to a certain space Using biometrics as a method to authenticate guarantees the key can t be lost forgotten or fabricated So today we ll speak about our experience with edge biometrics which is the combination of edge devices AI and biometrics to implement AI security monitoring systems What Are Edge Biometrics First things first what is edge AI In a traditional architecture of artificial intelligence a common practice is to deploy models and data in the cloud separate from the operating device or hardware sensor This forces us to maintain the cloud server in a proper state preserve a stable internet connection and pay for the cloud service If the storage appears inaccessible in case an internet connection is lost the whole AI application becomes useless In contrast the idea of edge AI is to deploy artificial intelligence applications right on the device closer to the user Edge devices may have their own GPU which allows us to process the input in place on the device This provides a number of advantages such as reduced latency due to fact all actions are performed locally on device Overall cost and power consumption also become lower Additionally the system becomes portable since the device can be easily moved from one location to another Given the fact we don t need large ecosystems bandwidth requirements are also lower opposed to traditional security systems that rely on stable internet connection Edge device can operate even in case of connection shut down as data can be stored in device s internal storage Which makes the whole system design more reliable and robust Daniil Liadov Python Engineer at MobiDevThe only notable pitfall is that as all the processing has to be done on the device in a short amount of time and the hardware components need to be powerful enough and up to date for this function For tasks like biometric authentication with face or voice recognition fast response and reliability of the security system are critical Since we want to ensure seamless user experience as well as proper security relying on edge devices gives those benefits Biometric information like employee faces and voices appears to be secure enough since they represent unique patterns that can be recognized by neural networks Additionally this type of data is easier to collect as most businesses already have photos of their employees in their CRM or ERP This way you can also avoid any privacy concerns by gathering say fingerprint samples of your people Combined with edge we can create a flexible AI security camera system for workspace entrance So let s discuss the implementation of such a system based on our own experience of automating office entrance processes with the help of edge biometrics AI Surveillance System DesignThe main idea behind the project was to authenticate employees at the office entrance with just a glance in the camera The computer vision model is able to identify a person s face compare it with the previously obtained photo and unlock the door Voice verification was added as an additional step to avoid tricking the system in any way The whole pipeline consists of models that carry different tasks from face detection to speech recognition All of these steps are done through a single edge device that serves as a video audio input sensor as well as a controller for sending commands to lock unlock doors As an edge device NVIDIA Jetson Xavier has been chosen The main reasons behind this choice were the presence of GPU memory which is vital for accelerating inference for deep learning projects and the availability of Jetpack SDK from NVIDIA which allows coding on devices in Python Therefore there is no strict need to convert the DS model to another format and nearly all of the codebase can be adapted to the device by DS engineers so no rewriting from one programming language to another is required So the general flow looks as follows Input image is provided to the face detection model to find the user Face identification model runs inference by extracting vectors and comparing them with the existing photo of an employee to identify whether it s the same person Another model is fed with voice samples to verify the voice of a specific person Additionally speech to text anti spoofing is used as a technique to prevent any type of trickery Let s discuss each of the elements and elaborate on the training and data collection procedure DATASET GATHERINGBefore diving deep into system modules it s important to note what database is used Our system relies on the availability of so called reference or ground truth data for users This data currently includes precomputed face and voice vectors for each user and looks like an array of numbers The system also stores data from the successful attempts of logins for their possible use for re training later Given this we ve chosen the most lightweight solution SQLite DB With this DB all the data is stored in a single file that s easy to browse and backup while data science engineers learning span is shorter Since facial recognition requires photos of all employees that may enter the office we used facial photos stored in corporate databases A Jetson device placed on the office entrance also collected face data samples as people used face verification to open the door Voice data wasn t available initially so we organized data gathering by asking people to record second clips Then we used a voice verification model to obtain vectors for each person and stored them in DB Voice samples can be collected with any audio input device In our case casual mobile phones and web cameras with inbuilt microphones were used to record voices FACE DETECTIONFace detection provides an answer to the question of whether there are any faces in a given scene If there are the model should give coordinates of each so you will know where each of the faces is located on the image including facial landmarks This info is important because we need to receive a face in a bounding box to run face identification on the next step For face detection we used the RetinaFace model with a MobileNet backbone from the InsightFace project This model outputs four coordinates for each detected face on an image as well as facial landmarks The fact that images captured at different angles or with different optics can change the proportions of the face due to distortion This may cause the model to struggle identifying the person For this need facial landmarks were used to perform warping a technique to reduce possible differences between these images of the same person As a result obtained cropped and warped faces will look more similar and extracted face vectors also will be more accurate FACE IDENTIFICATIONThe next step is face identification At this stage the model has to identify the person from a given image which is the obtained picture Identification is done with the help of references groundtruth data So here the model will compare two vectors by measuring the distance score of difference between two vectors to tell if it s the same person standing before the camera This assessment is compared with the initial photo of an employee we had Face identification is done with the model with SE ResNet architecture In order to make the model results more robust before obtaining the face vector input the image is averaged with the flipped version of itself At this point the flow of user identification looks as follows VOICE VERIFICATIONNext we move to voice verification This step should verify if two audios contain the voice of the same person or not You may ask why not do voice identification as well The answer is facial recognition works much better than voice nowadays and an image gives a lot more information to recognize the user than voice To avoid identifying the same person as user A by face and user B by voice only face recognition is applied The basic logic is almost the same as in the face identification stage as we compared two vectors by the distance between them unless we found similar vectors The only difference is that we already have a hypothesis about who is the person who is trying to pass from a previous face identification module During the active development of the voice verification module many issues were popping up The previous model with Jasper architecture was not able to verify the recordings of the same person taken from different microphones So we solved this problem by using ECAPA TDNN architecture which was trained on VoxCeleb dataset from the SpeechBrain framework which did a better job at verifying employees However audio clips still needed some pre processing The goal was to improve the quality of audio recording by preserving voice and reducing present background noise However all the tested techniques affected the quality of the voice verification model badly It is likely that even the slightest noise reduction could modify voice audio characteristics in recording so the model will not be able to correctly verify the person Also we performed an investigation into how long the audio recording should be and how many words the user should pronounce As a result of this investigation a few suggestions have been made Such a recording should have a duration of at least seconds and around words need to be spoken SPEECH TO TEXT ANTI SPOOFINGThe final security grain was added with speech to text anti spoofing built on QuartzNet from the Nemo framework This model provides a decent quality user experience and is suitable for real time scenarios To measure how close what the person says to what the system expects requires calculation of the Levenshtein distance between them Obtaining a photo of an employee to trick the face verification module is an achievable task as well as recording a voice sample Speech to text anti spoofing excludes scenarios in which an intruder tries to use a photo and audio of an authorized person to get inside the office The idea is quite simple when each person verifies themselves they pronounce a phrase given by the system The phrase consists of randomly selected words of a chosen set While the number of words is not huge in a phrase the actual number of possible combinations is Applying random generation of phrases we eliminate the possibility of spoofing the system as it will require a large number of recorded phrases spoken by an authorized user Having a photo of a user is not enough to trick an AI security system with this protection in place The Benefits Of The Edge Biometrics SystemAt this point our edge biometric system follows a simple flow for a user which requires them to p say a randomly generated phrase to unlock the door Additionally with face detection we provide AI surveillance for the office entrance By adding multiple edge devices the system can be scaled to different locations or easily modified We can directly configure Jetson through the network set up connection with low level devices via GPIO interface and upgrade it with new hardware quite easily compared to a regular computer We can also integrate with any digital security system that has a web API But the main benefit here is that we can collect data for improving the system right from the device since it appears convenient to gather data on the entrance without any specific interruption Daniil Liadov Python Engineer at MobiDevBased on our experience data collection appears to be the blocking stage of AI projects for start ups and tech companies that previously have had no experience with artificial intelligence The best way to prepare for AI project initiation is to obtain competent data science consultancy that will set the right expectations and requirements for what is needed	2022-08-31 15:03:03
海外TECH	DEV Community	How to create Android and iOS apps from the NuxtJS application using CapacitorJS	https://dev.to/daiquiri_team/how-to-create-android-and-ios-apps-from-the-nuxtjs-application-using-capacitorjs-134h	How to create Android and iOS apps from the NuxtJS application using CapacitorJSIn this guide I will show how to wrap an existing NuxtJS web application into Android and iOS mobile apps using CapacitorJSCapacitor is an open source native runtime for building Web Native apps Create cross platform iOS Android and Progressive Web Apps with JavaScript HTML and CSS CapacitorJS runs your static site on a local browser and shows it to the user Also it has some interface between native and web contexts for accessing native features But why do you need this if users can access your website from mobile browsers It s more useful for users If a user uses your web app frequently it s easier for them just to click on your app icon than go to the browser and search for your app bookmark or type your app domain name Both Android and iOS have the feature Add website to home screen But a separate native app provides better UX Distribution channel Users can search for your app in AppStore and PlayMarket So it s better to be present on all popular platforms to reach more users Native features Maybe your web app doesn t need them But after you create a mobile version of your app you can change your mind At least you can add notifications by FCM I think we are done with the why part Let s go to the how part Creating dummy NuxtJS applicationTo simplify this guide I ll create a new Nuxt application Feel free to jump to the Installing CapacitorJS section if you already have one So let s create a nuxt application using the official guide I ll use NodeJS v and Yarn v for installation Open a terminal and run yarn add global nuxi yarn nuxi init nuxt mobile cd nuxt mobile yarn installHere we installed nuxi Nuxt Command Line Interface created a new project nuxt mobile and installed dependencies from package json You can replace nuxt mobile with any name Next let s change app vue Replace the existing file with the following one lt template gt lt div gt lt h gt Nuxt Mobile lt h gt lt p gt This is a basic example of a mobile app built with NuxtJS and CapacitorJS lt p gt lt div gt lt template gt Now let s see what we got Run the development server yarn dev oYou will be navigated to the browser Here you will see your web application It s pretty empty but it will be enough to show how to wrap a web application into mobile apps Installing CapacitorJSNow let s add CapacitorJS to the application I ll follow instructions from the official guide In the root of your app install Capacitor s main npm depdencies the core JavaScript runtime and the command line interface CLI yarn add capacitor core yarn add dev capacitor cliThen initialize Capacitor using the CLI questionnaire yarn cap initThe CLI will ask you questions about your package You can pick any Name and Package I used NuxtMobile and com mycompany nuxtmobile values Then you need to set the Web asset directory as dist This is a destination on NuxtJS static site The CLI will save these answers into capacitor config json and check the file content After the Capacitor core runtime is installed you can install the Android and iOS platforms yarn add capacitor android capacitor iosCapacitorJS uses a static version of the site So we need to generate it yarn generate Now we have a static site so that we can initialize iOS and Android applications yarn cap add android yarn cap add iosThese commands create native applications in android and ios folders They clone web content from the dist directory to ios App App public and android app src main assets public directories Every time you change your site you need to run yarn generate to generate a new static site and npx cap sync to update the native apps Running Android appLet s run the Android application First download and install AndroidStudio After you finish return to the console and run yarn cap open android This will open android folder in AndroidStudio Here you can change your Android files and run the application Let s add an emulator to run Go to the Tools gt Device Manager and click Create Device First you need to pick Hardware device The main difference between different devices is a screen size and availability of PlayMarket I ll pick the Pixel because it has PlayMarket and a screen size Then you need to choose the Android OS image I will use Android API Finally click Next and Finish After this you will see a new device on the Devices dropdown Now you can choose your device and click Run to build and start the application Android Studio will start the emulator build install and run your application We are done with Android let s move to the iOS part Running iOS appTo build the application for iOS you need a MacBook If you have Linux or Windows you can skip this part First you need XCode to build and run the iOS application You can get it on AppStore After installation return to the console and run yarn cap open ios This command will open the ios folder as an XCode project Here you can change iOS application files and settings build and run the application Now we need to pick an emulator device to run the application I ll use the iPod touch Then click Run XCode will build the app and run it on the device We are done with the iOS part The endCongratulations In this guide we turn a new NuxtJS web application into iOS and Android mobile applications It s a very basic web app so we wouldn t upload it to stores But if you already have a full featured web application you can turn it into mobile apps and upload them to PlayMarket and AppStore You can find the source code of the project here If you need to build a web or mobile app prototype check out our website or connect with me directly on LinkedIn	2022-08-31 15:02:08
Apple	AppleInsider - Frontpage News	Save $120 on AirPods Max at Amazon today	https://appleinsider.com/articles/22/08/31/save-120-on-airpods-max-at-amazon-today?utm_medium=rss	Save on AirPods Max at Amazon todayAirPods Max have returned to at Amazon today marking this month s cheapest deal on the premium headphones Apple AirPods Max are discounted heavily at Amazon In addition to price drops of up to off AirPods and AirPods Pro Amazon has just launched a discount on Apple s high end AirPods Max marking the lowest price seen in days Read more	2022-08-31 15:57:54
Apple	AppleInsider - Frontpage News	Apple XProtect is now proactive with periodic malware scans	https://appleinsider.com/articles/22/08/31/apple-xprotect-is-now-proactive-with-periodic-malware-scans?utm_medium=rss	Apple XProtect is now proactive with periodic malware scansRather than scanning for malware when a Mac is started or an app is launched Apple has quietly added a feature whereby it scans whenever a Mac is idling Malware illustrationMacs have famously been less prone to viruses than PCs but all computers ーand all computer users ーare vulnerable to malware Without explicitly announcing it Apple has taken a further step to block and remove malware from the Mac Read more	2022-08-31 15:54:32
Apple	AppleInsider - Frontpage News	iPhone camera cutout may not be the shape that's expected	https://appleinsider.com/articles/22/08/31/iphone-camera-cutout-may-not-be-the-shape-thats-expected?utm_medium=rss	iPhone camera cutout may not be the shape that x s expectedThe iPhone Pro has long been rumored to be switching from a notch to an i shaped cutout but a late rumor suggests something different Apple is expected to introduce an iPhone Pro that puts its Face ID and other technology under one hole punch and one pill shaped display cutout Now however a leaker says that these two parts will be made to look like a single if smaller notch That s specifically when the iPhone display is powered on It s presumed that Apple may turn off pixels from the region between the two sensors making them appear as one Read more	2022-08-31 15:23:37
Apple	AppleInsider - Frontpage News	Enter to win an iPhone 14 Pro & metal print from Aluminyze	https://appleinsider.com/articles/22/08/31/enter-to-win-an-iphone-14-pro-metal-print-from-aluminyze?utm_medium=rss	Enter to win an iPhone Pro amp metal print from AluminyzeApple s iPhone Pro is on the horizon and to celebrate Aluminyze is awarding the winner of the Aluminyze x AppleInsider Photo Contest the new device in addition to a inch by inch metal print to showcase your work Enter today for your chance to win s widely anticipated smartphone Submit your best photo to enter to win an Apple iPhone Pro and metal print from Aluminyze Aluminyze has partnered with AppleInsider to run a photo contest in anticipation of Apple s iPhone Pro and its exceptional camera capabilities To enter to win a new iPhone Pro and a inch by inch metal print from Aluminyze submit your favorite photo taken on your iPhone or any other smartphone and sign up for the Aluminyze and AppleInsider newsletters via the widget below Rights to the photo must be your own Read more	2022-08-31 15:21:27
海外TECH	Engadget	Crypto.com refunded someone $7.2 million by mistake	https://www.engadget.com/cryptocom-72-million-refund-whoops-154406931.html?src=rss	Crypto com refunded someone million by mistakeWhen Australian woman Thevamanogari Manivel put in a Crypto com refund request last year she got far more than she bargained for Manivel asked for a refund of AUD now worth around USD Instead seemingly due to an employee entering her account number into a payment section of a refund form by mistake the company dropped million AUD million at current exchange rates into her account instead According to a report from News by way of The Verge Crypto com made the overly generous refund in May last year However it apparently did not identify the mistake until it carried out an audit in December seven entire Gregorian calendar months later Manivel kept the money and reportedly transferred it to a bank account A court granted Crypto com a freeze on the account in February The Guardian reports that most of the cash had been moved to other accounts by then but those accounts were later frozen too That same month Manivel is said to have spent million AUD approximately on a five bedroom home and transferred ownership of it to her sister A court has ordered the sale of the property as soon as possible and for the funds to be returned to Crypto com with interest The case will return to court in October Perhaps not too long ago Crypto com might have been more willing to write off the refund as a deeply unfortunate mistake But the cryptocurrency market has been tanking this year and the company lost million in a January hack It also laid off hundreds of employees this summer due to the crypto downturn So it s perhaps not too surprising that Crypto com is trying to get the money back from Manivel After all it has a long term arena sponsorship deal in Los Angeles for which it s said to be paying million over years and a Matt Damon to keep fed	2022-08-31 15:44:06
海外TECH	Engadget	'The Last of Us Part I' is a gorgeous, faithful, expensive remake	https://www.engadget.com/the-last-of-us-part-1-ps5-review-150041410.html?src=rss	x The Last of Us Part I x is a gorgeous faithful expensive remakeEver since Sony and Naughty Dog announced The Last of Us Part I a ground up PS remake of the classic PS game there s been an intense discussion around whether this even needs to exist After all Naughty Dog remastered the original game in for the PS giving it p graphics at fps and it still looks solid But compared to The Last of Us Part II which came out in June of the original shows its age Facial expressions are less lifelike and the environments while still beautiful and well designed lack a certain level of depth and detail As Naughty Dog co president and The Last of Us co creator Neil Druckmann tells it the idea for this remake came when they were animating flashbacks for Part II When I first played the sequel I took note of a very brief sequence showing the game s protagonists Joel and Ellie walking through a ruined city ーthe vastly improved animation and fidelity of the scene made me want to see more of a world that I had spent so much time in rendered with modern technology Now two years later my wish has been granted The Last of Us Part I is a complete rebuild of the game and its excellent two ish hour DLC Left Behind but it s a bit of a different beast than remakes like Resident Evil and Final Fantasy VII It s a massive visual upgrade over the original and there are numerous other significant improvements ーbut the experience of playing the game itself will be extremely familiar to anyone who has experienced The Last of Us on the PS or PS Level design and enemy placement is identical to the original but the enemy AI has been significantly improved which means some encounters can play out quite a bit differently The music and voice performances are lifted straight from the original game and the direction of cinematic sequences are completely faithful ーbut when they were so good to begin with why change it For those who haven t played The Last of Us it s a survival action game that takes place years after a pandemic wipes out most of the world s population the Infected are bloodthirsty zombie like beasts and society as we know it has collapsed Joel a hardened violent emotionally stunted survivor finds himself tasked with smuggling Ellie a year old girl across the country While the post apocalyptic setting has been done many times The Last of Us manages to tell an impactful story that balances brutal and devastating emotional beats with surprisingly hopeful and tender human connections In my opinion nothing about that original tale needed to be changed and I m glad that Joel and Ellie s journey is authentic to the original vision A complete visual redesignNaughty Dog has a reputation for building intricate vast and beautiful worlds and as the company s first PS game The Last of Us Part I continues that tradition From the very first scene through the end credits I marveled at the detail and richness of the world Naughty Dog created ーit s a huge upgrade over the original and easily on par with The Last of Us Part II For me the most significant change is in facial animations Naughty Dog has said they were able to go back to the original motion captured performances and use them as a guide for putting more nuance and emotion into the game The climax of the minute prologue showing how the outbreak starts hit harder thanks in large part to the facial expressions carrying more emotional heft The original version of the game looked great but still occasionally dipped into the uncanny valley that s not the case here Characters facial animations look amazing regardless of whether it s in a cutscene or during gameplay While there are plenty of cinematics in The Last of Us Part I there s a ton of storytelling that happens through the gameplay itself I always enjoyed spinning the camera around to focus on the characters faces during quieter times of conversation and they re impressively detailed and expressive reflecting the feel of the scene in subtle but noticeable ways Enemies look more realistic than ever too whether it s the angry faces of a pack of human hunters or the disturbingly distorted expressions of the Infected The improved environmental detail Naughty Dog added to the world is just as significant The original game was already a stunning depiction of a post apocalyptic United States from the Quarantine Zones where humanity clung to safety to abandoned towns overrun with Infected or lush forests and roaring rivers of the wilds All those settings are amplified in The Last of Us Part I with better lighting more realistic trees and vegetation stunning reflections on water and loads of tiny details everywhere you look A great example of this is in the pinboard above Joel s desk in his Texas house which we briefly see in the prologue I used the game s photo mode to zoom in on the details and found numerous hand written notes reminding Joel of his grocery list his daughter s soccer schedule a cleaning schedule and even a letter his brother Tommy wrote when they were kids Unless you go into photo mode and zoom in you ll never notice these details but it helps build a world that feels lived in Throughout the game you ll come across certain areas like the subway under Boston and the Pittsburgh hotel basement that are shrouded with infectious spores and have little natural light In the original game those areas were particularly hard to see fine detail in ーthe spore particles overwhelmed the visuals and reduced the colors and visibility of the area to a shadowy gray mush These types of environments look significantly better in Part I The spores add an unsettling dimension but the details shine through the fog It s also much easier to navigate which is a welcome change ーa lot of these darker areas involve going underwater to make your way around obstacles and it was often hard to see a way forward The Last of Us Part I offers two visual modes Fidelity runs the game at fps in full K resolution and Performance targets fps while dynamically adjusting the resolution Alternatively if you re running the PS beta software that enabled p as resolution setting it ll max out there I found myself jumping between the two modes turning on Performance for battles and using Fidelity for quieter parts that were more focused on exploration Overall I prefer Performance mode mostly because I find it hard to go back to fps after playing at for a while Gameplay tweaks and a new AI systemImproved graphics are table stakes for a remake though The big question around The Last of Us Part I was how much gameplay would change whether we d see new mechanics from Part II or if the company would redesign levels to give experienced players something new Naughty Dog has been faithful to a fault Level design is identical and as best I can tell there are even the same number and placement of enemies throughout the world If you know the general progression of The Last of Us and Left Behind which remains a separate experience from the main game you won t find any surprises here It s revealing that Naughty Dog apparently had a chance to “do over any parts of the game that it feels didn t age as well and didn t take them A cynic would say they wanted to put less effort into the project while an optimist would say they re just standing by the original game s design I think both points of view are valid and will simply note that people who know the game inside and out aren t going to find anything unexpected Similarly Joel still moves like the burly middle aged man that he is You can t dodge and you can t lay prone You can now however pick up and throw bricks and bottles on the run just as you can in Part II There s definitely something satisfying about running towards an Infected stunning them with a brick throw and then finishing them off with a swing a melee weapon but in the grand scheme of things it isn t a major change One thing that is notably different is enemy AI Human enemies are smarter and more aggressive working together to flank you they re also a lot harder to lose once they pick up your trail Infected meanwhile present their own set of challenges Clickers the blind Infected that use echolocation to find you and can kill you in one shot have the same behavior they do in Part II They ll often stop their wandering and let out a series of “barks ーand if you re near them when they do well you re probably going to die quickly In the original game you were mostly safe as long as you didn t make too much noise walking but now you have to keep moving or hiding at all times The mega powerful Bloaters are also modeled after their counterparts in Part II The biggest change in their behavior is that they ll build up a head of steam and charge at you like a bull ーif you get out of the way they ll often slam into a wall or other object and be stunned for a moment a great opportunity to blast away at them with your shotgun But in Part II you can use the dodge button to dance out of the way Since there s no dodge in Part I you have to sprint out of the way instead something that s not nearly as reliable After getting so used to dodging the Bloater s charge in Part II it was a real pain to not have the same move here And if a Bloater grabs you it s an instant death so you ll want to treat these upgraded enemies with the utmost care The AI and behavior of your allies has been upgraded too which addresses a big complaint about the original game If you were in stealth your allies were essentially invisible to enemies which meant that your cover couldn t get blown if Ellie or another companion ran out in front of a Clicker This avoided the frustration of being seen when you didn t actually do anything to reveal your position but it also meant that it looked pretty ridiculous when characters could run right out in front of enemies and not get spotted Now your companions are much smarter at mimicking your behavior going into cover when you re in stealth and only revealing themselves if you do the same Once or twice in my playthrough an ally would be “out of position and in the enemy s line of sight but as in the first game they re essentially invisible The good news is that it just doesn t happen very often It s not perfect but it s an improvement The haptic feedback system and adaptive triggers on the PS s DualSense controller also offer some subtle but noteworthy improvements to gameplay Naughty Dog says each weapon has different resistance and feedback from the triggers and the haptic vibrations are unique as well While I can t recognize every slight detail shooting a revolver feels quite different on the trigger than shooting the shotgun or drawing your bow Haptics accompany actions like reloading too so you ll feel a vibration for each pump of the shotgun after Joel takes a shot There are too many haptic touches throughout the game to count but one of my favorites is that you can feel rainfall as it vibrates lightly across the controller like droplets are bouncing off your body Updates galoreWhile graphics and AI are the changes most people will notice first there are a lot of smaller tweaks throughout that make The Last of Us Part I feel more like Part II Things like a redesigned HUD and weapon selection interface aiming reticles for different weapons and button prompts like mashing square to open a blocked door or holding triangle to lift a gate all match their counterparts in Part II While weapon upgrade options are identical to those in the original game the new visuals of Joel working on his guns with various tools are a lot more interesting than in the original game Sony Naughty DogUpon finishing the game you ll unlock a host of bonus material and gameplay modifiers Most significant are the Permadeath and Speed Run modes Just as in Part II Permadeath removes all checkpoints and if you set it to the most difficult level one death sends you back to the very beginning of the game For those who want a significant challenge but aren t quite that dedicated you can do Permadeath “per act which Naughty Dog estimates encompasses two to three hours of gameplay or “per chapter which adds some checkpoints within each act You can also try it at any difficulty level which makes the challenge a lot more accessible I know I m not good enough to try a truly obscene Permadeath run on the ultra difficult Grounded difficulty but I have kicked off a run on Hard which I should have a prayer of surviving Speedrun mode is pretty self explanatory but it s a nice quality of life enhancement for people who like to play games as quickly as possible It enables an in game timer that automatically pauses during cinematic and scene transitions Once you finish the game you ll find a recap that breaks down your speed per chapter as well as your total play time and the game saves records broken down by difficulty level and permadeath setting Other unlockable extras include tons of concept art both from the original release and new art done for this rerelease There s also a viewer that lets you explore highly detailed character models for just about everyone in the game it also lets you see the disgusting details of the Infected in close range if you re into that sort of thing More Part II extras brought over here include a set of filters you can apply to tweak the visuals of the game think an bit setting or one that renders the game in a comic book style and a bunch of gameplay modifiers You can turn on infinite ammo or crafting supplies one shot kills slow motion explosive arrows and much more Only hardcore fans are probably going to spend time with these but they can add some fun new ways to play the game ーcombining something like unlimited ammo with a permadeath setting on the game s hardest difficulty would be a particularly unique challenge for example It s not a stretch to say that The Last of Us Part II helped push accessibility in the video games industry forward ーNaughty Dog provided players with an extensive and impressive selection of options and I m very glad to see that the company replicated that with Part I Setting include a host of control adjustments including complete control remapping visual aids like magnification and high contrast modes features that make navigating the world easier like a ledge guard to keep you from falling to your death a text to speech reader audio cues extensive combat modifications and much more Sony Naughty DogIt s all present in Part I along with a new feature that delivers haptic feedback on the controller to help deaf or hard of hearing players feel the emphasis in how lines of dialog are delivered The game also includes audio descriptions for cutscenes something that wasn t present in Part II All these accessibility modifications are important additions and things that any player can appreciate if they want to customize their experience with the game At a more basic level Part I also lets you set a custom difficulty level There are six options but you can also set different challenges across five parts of the game player enemies allies stealth and resources So you could make it a little easier to stay in stealth or make resources more plentiful while otherwise keeping enemy aggressiveness high for example It s yet another way to tweak your experience to match your skill level I d be remiss if I didn t mention that virtual photographers will love Photo Mode in The Last of Us Part I It s even better than it is in Part II thanks to the addition of three lights that you can place anywhere around a scene to make things even more dramatic You can adjust the color temperatures brightness position and many more options to customize the scene further than ever before I can t wait to see what the incredibly skilled virtual photography community around these games does with Part I All screenshots in this review with the exception of those credited to Sony were taken by me using the game s Photo Mode Is Part I worth it and who is it for After going through the many things Naughty Dog added and changed for The Last of Us Part I the price point doesn t bother me as much as it initially did Yes that s a lot of money for a game and it s fair to ask whether replaying a game with nine year old mechanics should cost that much If Sony Naughty Dog priced this at or even I think that would be a fair price point that would be harder to take issue with Even at though the sheer breadth of changes and significance of things like the new visuals and accessibility options make this a major improvement over the remastered PS version In fact I d go so far as to say that this is the definitive version of The Last of Us I know the original game inside and out and everything that made it one of my favorites is here the changes Naughty Dog made do nothing to diminish that original experience only improve it If the company had gone further and redesigned levels or made more extensive changes to gameplay mechanics I don t know if I d feel the same There s something to be said for the purity of the original vision and that s fully intact It just looks and plays better than ever and the accessibility features mean more people can enjoy it That said this game definitely isn t for everyone If you played The Last of Us and haven t felt the need to revisit it Part I won t change your mind The story is identical and the combat and exploration formula is essentially unchanged But in a world where The Last of Us is going to premiere as a high profile HBO series sometime in it s not surprising to see Sony and Naughty Dog revisit this game The companies are surely expecting increased interest in the franchise and having a beautiful modern version of the game ready for new players makes a lot of sense For those people new to the series this is the version to play And if you re a big fan of the game the kind of person who goes back to Joel and Ellie s story every year or two like yours truly this is the best way to do it	2022-08-31 15:00:41
海外科学	NYT > Science	Paxlovid Cuts Covid Deaths Among Older People, Israeli Study Finds	https://www.nytimes.com/2022/08/30/health/paxlovid-efficacy-seniors.html	death	2022-08-31 15:09:02
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金融	金融庁ホームページ	「デジタル・分散型金融への対応のあり方等に関する研究会」（第５回）議事録を公表しました。	https://www.fsa.go.jp/singi/digital/gijiroku/20220606.html	Detail Nothing	2022-08-31 17:00:00
金融	金融庁ホームページ	「金融商品取引業等に関する内閣府令第二条第一項の規定に基づき金融庁長官が定める書類を定める件の一部を改正する件（案）」について公表しました。	https://www.fsa.go.jp/news/r4/shouken/20220831/20220831.html	内閣府令	2022-08-31 17:00:00
金融	金融庁ホームページ	「金融庁等の職員が検査の際に携帯すべき身分証明書等の様式を定める内閣府令の一部を改正する内閣府令」について公表しました。	https://www.fsa.go.jp/news/r4/ginkou/20220831/20220831.html	内閣府令	2022-08-31 17:00:00
金融	金融庁ホームページ	2022事務年度金融行政方針について公表しました。	https://www.fsa.go.jp/news/r4/20220831/20220831.html	Detail Nothing	2022-08-31 17:00:00
金融	金融庁ホームページ	令和５年度予算、機構・定員要求について公表しました。	https://www.fsa.go.jp/common/budget/yosan/5youkyuu.html	要求	2022-08-31 16:00:00
金融	金融庁ホームページ	令和５年度歳出概算要求書を公表しました。	https://www.fsa.go.jp/common/budget/yosan/5youkyuu-2.html	要求	2022-08-31 16:00:00
金融	金融庁ホームページ	金融庁の令和５年度税制改正要望について公表しました。	https://www.fsa.go.jp/news/r4/sonota/20220831.html	税制改正	2022-08-31 16:00:00
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