投稿時間:2020-06-17 04:30:41 RSSフィード2020-06-17 04:00 分まとめ(37件)

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AWS	AWS Machine Learning Blog	Amazon Polly launches a child US English NTTS voice	https://aws.amazon.com/blogs/machine-learning/amazon-polly-launches-a-child-us-english-ntts-voice/	Amazon Polly launches a child US English NTTS voiceAmazon Polly turns text into lifelike speech allowing you to create voice enabled applications We re excited to announce the general availability of a new US English child voiceーKevin Kevin s voice was developed using the latest Neural Text to Speech NTTS technology making it sound natural and human like This voice imitates the voice of a male child Have a …	2020-06-16 18:03:12
AWS	AWS Mobile Blog	Set up continuous deployment and hosting for a monorepo with AWS Amplify Console	https://aws.amazon.com/blogs/mobile/set-up-continuous-deployment-and-hosting-for-a-monorepo-with-aws-amplify-console/	Set up continuous deployment and hosting for a monorepo with AWS Amplify ConsoleThis article was written by Nikhil Swaminathan Sr Product Manager Technical AWS Amplify Console recently launched monorepo support providing developers with mono repositories a better experience connecting apps to the Amplify Console A mono repository is a repository that contains more than one logical project each in it s own repository For example if you have multiple teams …	2020-06-16 18:00:45
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	WordPressヘッダーメニュー名が全てページタイトルになってしまう	https://teratail.com/questions/270589?rss=all		2020-06-17 03:25:27
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	MySQLが起動できずに困っています。	https://teratail.com/questions/270588?rss=all	MySQLが起動できずに困っています。	2020-06-17 03:14:44
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	【C#】【.Net】Appクラスでコンポーネントクラスの開放すると警告番号CA1001が出る件を解決したい	https://teratail.com/questions/270587?rss=all	【C】【Net】Appクラスでコンポーネントクラスの開放すると警告番号CAが出る件を解決したいWPFで常駐アプリを開発しているのですが、解決方法が分からない警告があり質問させてください。	2020-06-17 03:07:35
AWS	AWSタグが付けられた新着投稿 - Qiita	【AWS Organizations】OUから別のOUへAWSアカウントを移動させる	https://qiita.com/ooooouchi/items/62665fd0dba09e01be0d	【AWSOrganizations】OUから別のOUへAWSアカウントを移動させるはじめに※個人的備忘録です。	2020-06-17 03:09:40
Apple	AppleInsider - Frontpage News	Apple Car self-driving system could tell iPhones in the car what it is about to do	https://appleinsider.com/articles/20/06/16/apple-car-self-driving-system-could-tell-iphones-in-the-car-what-it-is-about-to-do	Apple Car self driving system could tell iPhones in the car what it is about to doThe Apple Car self driving system could pre alert drivers and passengers of maneuvers it will be performing by posting notifications on the screens of iPhones and iPads in the vehicle	2020-06-16 18:52:51
Apple	AppleInsider - Frontpage News	Here's where Apple Stores have reopened around the world	https://appleinsider.com/articles/20/05/25/heres-where-apple-stores-have-reopened-around-the-world	Here x s where Apple Stores have reopened around the worldApple is slowly opening up stores around the globe as lockdown restrictions are lifted Here s where they ve opened up as well as where they remain closed updated on June with more US store openings	2020-06-16 18:53:57
海外TECH	Engadget	Corsair releases streaming-ready PCs with built-in capture cards	https://www.engadget.com/corsair-vengeance-pcs-183939224.html	Corsair releases streaming ready PCs with built in capture cardsIf you want to stream your gameplay on services like Twitch you need a handful of gear to get started Depending on your taste the most important of these could be a powerful desktop and a solid capture card Corsair is putting both in one preconfi	2020-06-16 18:39:39
海外TECH	Engadget	EU sets framework for contact tracing apps that work across borders	https://www.engadget.com/eu-commission-contact-tracing-interoperability-specifications-182445321.html	EU sets framework for contact tracing apps that work across bordersMore European countries are launching contact tracing apps in an attempt to slow the spread of COVID But at the moment those apps do not work across borders The European Commission and EU Member States are hoping to change that The Commission	2020-06-16 18:24:45
海外TECH	Engadget	PAX West will be PAX Online this year	https://www.engadget.com/pax-west-canceled-coronavirus-pax-online-pax-aus-180328713.html	PAX West will be PAX Online this yearDue to the impact of COVID PAX West won t be going ahead as an in person event in Seattle this year A digital replacement PAX Online is on the cards instead It ll run from September th th and it ll be entirely free There ll be three stre	2020-06-16 18:03:28
海外TECH	Engadget	Archaeologists map an ancient Roman city without any digging	https://www.engadget.com/ground-penetrating-radar-ancient-roman-city-map-180033677.html	Archaeologists map an ancient Roman city without any diggingFor the first time archaeologists have mapped an entire ancient Roman city without any digging by using ground penetrating radar GPR technology via Gizmodo The technique was not only non destructive but revealed details that wouldn t have been	2020-06-16 18:00:33
Docker	Docker Blog	How to Develop Inside a Container Using Visual Studio Code Remote Containers	https://www.docker.com/blog/how-to-develop-inside-a-container-using-visual-studio-code-remote-containers/	How to Develop Inside a Container Using Visual Studio Code Remote ContainersThis is a guest post from Jochen Zehnder Jochen is a Docker Community Leader and working as a Site Reliability Engineer for K Cloud He started his career as a Software Developer where he learned the ins and outs of creating software He is not only focused on development but also on the automation to bridge The post How to Develop Inside a Container Using Visual Studio Code Remote Containers appeared first on Docker Blog	2020-06-16 18:15:28
海外TECH	CodeProject Latest Articles	Robust C++: Queue Templates	https://www.codeproject.com/Articles/5271081/Robust-Cplusplus-Queue-Templates	manage	2020-06-16 18:12:00
海外科学	NYT > Science	Trump's Rally in Tulsa Could Spread Virus	https://www.nytimes.com/2020/06/16/us/politics/trump-coronavirus-rally.html	Trump x s Rally in Tulsa Could Spread VirusPresident Trump will hold his first campaign rally in months on Saturday in Oklahoma where infections are rising and officials there are pleading with him to cancel or hold it outdoors	2020-06-16 18:21:59
海外科学	NYT > Science	Dexamethasone Reduces Coronavirus Deaths, Scientists Say	https://www.nytimes.com/2020/06/16/world/europe/dexamethasone-coronavirus-covid.html	britain	2020-06-16 18:31:17
海外科学	NYT > Science	Live Coronavirus Updates	https://www.nytimes.com/2020/06/16/world/coronavirus-live-updates.html	Live Coronavirus UpdatesHealth care workers in Europe protest for better working conditions The virus flares in Beijing Officials in Tulsa Okla worry that President Trump s planned rally could cause a spike	2020-06-16 18:44:22
海外ニュース	Japan Times latest articles	India says three soldiers killed in clash on Chinese border	https://www.japantimes.co.jp/news/2020/06/16/asia-pacific/china-india-crossing-border-attacking-personnel/	India says three soldiers killed in clash on Chinese borderThree Indian soldiers have been killed in a violent face off on the Chinese border the Indian Army said Tuesday following weeks of rising tensions and	2020-06-17 04:04:39
海外ニュース	Japan Times latest articles	North Korea blows up South Korea joint office in rebuke of Seoul	https://www.japantimes.co.jp/news/2020/06/16/asia-pacific/north-korea-blow-up-inter-korea-liaison-office-south-korea/	North Korea blows up South Korea joint office in rebuke of SeoulNorth Korea blew up an inter Korean liaison office on its side of the border in an explosive rebuke to Seoul that appeared designed to draw	2020-06-17 04:01:00
海外ニュース	Japan Times latest articles	Japan’s long-term foreign policy: building resilience	https://www.japantimes.co.jp/opinion/2020/06/16/commentary/japan-commentary/japans-long-term-foreign-policy-building-resilience/	environment	2020-06-17 04:30:05
海外ニュース	Japan Times latest articles	No end in sight to the debate over Japan’s school year	https://www.japantimes.co.jp/opinion/2020/06/16/commentary/japan-commentary/no-end-sight-debate-japans-school-year/	effort	2020-06-17 04:29:23
海外ニュース	Japan Times latest articles	For the U.S. and China, Thucydides’ trap is closing	https://www.japantimes.co.jp/opinion/2020/06/16/commentary/world-commentary/u-s-china-thucydides-trap-closing/	china	2020-06-17 04:28:14
海外ニュース	Japan Times latest articles	We have the technology to stop a second wave	https://www.japantimes.co.jp/opinion/2020/06/16/commentary/world-commentary/technology-stop-second-wave/	covid	2020-06-17 04:27:44
ビジネス	ダイヤモンド・オンライン - 新着記事	中国でローン延滞急増、悪質回収業者に苦しむ市民 - WSJ PickUp	https://diamond.jp/articles/-/240578	wsjpickup	2020-06-17 03:55:00
ビジネス	ダイヤモンド・オンライン - 新着記事	【宗次徳二×山下誠司】対談 「早起きをしない理由」がない理由 - 年収1億円になる人の習慣	https://diamond.jp/articles/-/239418	【宗次徳二×山下誠司】対談「早起きをしない理由」がない理由年収億円になる人の習慣カレーハウスCoCo壱番屋ココイチの創業者特別顧問・宗次徳二さんと、日本最大級の美容室「EARTHアース」の取締役で、万部突破の『年収億円になる人の習慣』の著者、山下誠司さんの対談が実現しました。	2020-06-17 03:50:00
ビジネス	ダイヤモンド・オンライン - 新着記事	人種差別抗議、大英帝国めぐる論議を誘発 - WSJ PickUp	https://diamond.jp/articles/-/240577	wsjpickup	2020-06-17 03:45:00
ビジネス	ダイヤモンド・オンライン - 新着記事	誰にでも似合いやすい！ 流し前髪の黄金比とは？ - あなたは髪を切らなくても変われる	https://diamond.jp/articles/-/240064	誰にでも似合いやすい流し前髪の黄金比とはあなたは髪を切らなくても変われる髪を切らなくても新しい自分になれる自宅でサロン級の満足度のセルフテクニック公開美容室に行かなくても、髪を切らなくても、髪の印象をガラッと変える方法があると言ったら、どうしますか切らないほうがかわいくなると言われたらとうでしょう。	2020-06-17 03:40:00
ビジネス	ダイヤモンド・オンライン - 新着記事	【社説】ロシアより「悪意」をこめて　元米海兵隊員に禁錮刑 - WSJ PickUp	https://diamond.jp/articles/-/240576	【社説】ロシアより「悪意」をこめて元米海兵隊員に禁錮刑WSJPickUpドナルド・トランプ米大統領は就任以来、ロシアとの間でより友好的な関係を望んできた。	2020-06-17 03:35:00
ビジネス	ダイヤモンド・オンライン - 新着記事	家でできる「子どもの頭がよくなる」遊びベスト7 - 子育てベスト100	https://diamond.jp/articles/-/234212	遊び	2020-06-17 03:30:00
ビジネス	ダイヤモンド・オンライン - 新着記事	サラリーマンが会社を買うなら、どんなところを選べばいいか - サラリーマンがオーナー社長になるための企業買収完全ガイド	https://diamond.jp/articles/-/240073	企業買収	2020-06-17 03:25:00
ビジネス	ダイヤモンド・オンライン - 新着記事	「人に言えない恋愛」 30代は隠す、50代は自慢する不思議 - 大人が自分らしく生きるためにずっと知りたかったこと	https://diamond.jp/articles/-/240563	「人に言えない恋愛」代は隠す、代は自慢する不思議大人が自分らしく生きるためにずっと知りたかったこと「代で結婚できる」「年老いた親をどうする」「代で仕事を失ったら」「どうやって美しさを保つ」「大人であることのメリット」など……聞きたくても聞けない、代女性の等身大の悩みへのヒントが満載フランスで大人気となった代の著者の等身大エッセイで学ぶ年齢にとらわれず、自分らしく生きる方法。	2020-06-17 03:20:00
ビジネス	ダイヤモンド・オンライン - 新着記事	「御三家」に合格できても それより問題が易しい 慶應中等部に落ちるのはなぜか - 中学受験　大学付属校　合格バイブル	https://diamond.jp/articles/-/239750		2020-06-17 03:15:00
ビジネス	ダイヤモンド・オンライン - 新着記事	自発的に部下を動かすために必要な3つのこと - どう伝えればわかってもらえるのか？　部下に届く 言葉がけの正解	https://diamond.jp/articles/-/240573	自発的に部下を動かすために必要なつのことどう伝えればわかってもらえるのか部下に届く言葉がけの正解部下にどのような言葉を使って伝えれば、部下はわかってくれるのか、適切な行動をとってくれるのかーきちんと納得感のある言葉を伝えるリーダーもいれば、曖昧な言葉で伝えるリーダーもいて、「言葉」の重要性が高まっていると感じた方も多いでしょう。	2020-06-17 03:10:00
ビジネス	ダイヤモンド・オンライン - 新着記事	警察内に横行する人種差別、黒人警官に嫌がらせ - WSJ発	https://diamond.jp/articles/-/240609	人種差別	2020-06-17 03:09:00
ビジネス	ダイヤモンド・オンライン - 新着記事	Googleを世界一にした経済学者も応用した「ベンフォードの法則」で、帳簿や選挙などの不正を見抜く - とてつもない数学	https://diamond.jp/articles/-/240539	Googleを世界一にした経済学者も応用した「ベンフォードの法則」で、帳簿や選挙などの不正を見抜くとてつもない数学天才数学者たちの知性の煌めき、絵画や音楽などの背景にある芸術性、AIやビッグデータを支える有用性…。	2020-06-17 03:05:00
GCP	Cloud Blog	Introducing Spark 3 and Hadoop 3 on Dataproc image version 2.0	https://cloud.google.com/blog/products/data-analytics/introducing-spark-3-and-hadoop-3-on-dataproc-image-version-2-0/	Introducing Spark and Hadoop on Dataproc image version Dataproc makes open source data and analytics processing fast easy and more secure in the cloud Dataproc provides fully configured autoscaling clusters in around seconds on custom machine types This makes Dataproc an ideal way to experiment with and test the latest functionality from the open source ecosystem  Dataproc provides image versions that align with bundles of core software that typically come on Hadoop and Spark clusters Dataproc optional components can extend this bundle to include other popular open source technologies including Anaconda Druid HBase Jupyter Presto Tanager Solr Zeppelin and Zookeeper You can customize the cluster even further with your own configurations that can be deployed via initialization actions Check out the Dataproc initialization actions GitHub repository a collection of scripts that can help you get started with installations like Kafka  Dataproc image version  is the latest set of open source software that is ready for testing It s in preview image a Dataproc term for images that signifies a new version in a generally available service It provides a step function increase over past OSS functionality and is the first new version track for Dataproc since it became a generally available service in early Let s look at some of the highlights of Dataproc image version  You can use Spark in previewApache Spark is the highly anticipated next iteration of Apache Spark Apache Spark is not yet recommended for production workloads It remains in a preview state in the open source community However if you re anxious to take advantage of Spark s improvements you can start the work of migrating jobs using isolated clusters on Dataproc image version   The main headline of new Spark is “performance There will be lots of speed and performance gains from under the hood changes to Spark s processing Some examples of performance optimization include Adaptive queries Spark can now optimize a query plan while execution is occuring This will be a big gain for data lake queries that often lack proper statistics in advance of the query processing  Dynamic partition pruning Avoiding unnecessary data scans are critical in queries that resemble data warehouse queries which use a single fact table and many dimension tables Spark brings this data pruning technique to Spark GPU acceleration NVIDIA has been collaborating with the open source community to bring GPUs into Spark s native processing This allows Spark to hand off processing to GPUs where appropriate  In addition to performance advances in Spark on Kubernetes in version will bring shuffle improvements that enable dynamic scaling making running Dataproc jobs on Google Kubernetes Engine GKE a preferred migration option for many of those moving jobs to Spark As often with major version overhauls in software upgrades come with deprecations and Spark is no exception However there are gains that come from some of these deprecations  MLLib the Resilient Distributed Datasets or RDD version of ML has been deprecated While most of the functionality is still there it will no longer be worked on or tested so it s a good idea to move away from MLLib on your migration to Spark As you move from MLLib it will also be an opportunity to evaluate if a deep learning model may make sense instead Spark will have better bridges to deep learning models that run on GPUs from ML pipelines GraphX will be deprecated in favor of a new graphing component SparkGraph based on Cypher a much richer graph language than previously offered by GraphX DataSource API will become DataSource V giving a unified way of writing to various data sources pushdown to those sources and a data catalog within Spark  Python will no longer be supported in favor of Python   Hadoop is now available  Another major version upgrade on the Dataproc image version track is Hadoop which is composed of two parts HDFS and YARN  Many on prem Hadoop deployments have benefited from features such as HDFS federation multiple standby name nodes HDFS erasure encoding and a global scheduler for YARN In cloud based deployments of Hadoop there tends to be less reliance on HDFS and YARN HDFS storage will be substituted for Cloud Storage in most situations YARN is still used for scheduling resources within a cluster but in the cloud Hadoop customers start to think about job and resource management at the cluster or VM level Dataproc offers job scoped clustersthat are right sized for the task at hand instead of being limited to just configuring a single cluster s YARN queues with complex workload management policies  However if you don t want to overhaul your architectures before moving to Google Cloud you can lift and shift your on prem Hadoop infrastructure to Dataproc image version  and keep all your current tooling and processes in place New cloud methodologies can then gradually be introduced for the right workloads over time  While migrating to the cloud technology may relegate many features of Hadoop to niche use cases there are still a couple of useful Hadoop features that will appeal to many existing Dataproc customers Native support for GPUs in the YARN scheduler This makes it possible for YARN to identify the right nodes to use when GPUs are needed properly isolate the GPU resources on a shared cluster and autodiscover the GPUs available previously administrators needed to configure the GPUs The GPU information will even show up in the YARN UI which is easily accessed via the Dataproc Component Gateway  YARN containerization Modern open source components like Spark and Flink have native support for Kubernetes which offers production grade container orchestration However there are still many legacy Hadoop components that have not yet been ported away from YARN and into Kubernetes Hadoop s YARN containerization can help manage those components using Docker containers and today s CI CD pipelines This feature will be very useful for applications such as HBase that need to stay up and would benefit from additional software isolation  Other software upgrades on Dataproc image version Various other advances are available on Dataproc image version and include Software librariesShared librariesIn conjunction with the component upgrades other shared libraries will also be upgraded to prevent runtime incompatibilities and offer the full features of the new OSS offerings You may also find that Dataproc image version  will change many previous configuration settings to optimize the OSS software and settings for Google Cloud  Getting startedTo get started with Spark and Hadoop simply run the following command to create a Dataproc image version  cluster When you are ready to move from development to production check out these best practices for running Cloud Dataproc in production	2020-06-16 18:30:00
GCP	Cloud Blog	What a trip! Measuring network latency in the cloud	https://cloud.google.com/blog/products/networking/using-netperf-and-ping-to-measure-network-latency/	What a trip Measuring network latency in the cloudA common question for cloud architects is “Just how quickly can we exchange a request and a response between two endpoints There are several tools for measuring round trip network latency namely ping iperf and netperf but because they re not all implemented and configured the same different tools can return different results And in most cases we believe netperf returns the more representative answer to the questionーyou just need to pay attention to the details  Google has lots of practical experience in latency benchmarking and in this blog we ll share techniques jointly developed by Google and researchers at Southern Methodist University s AT amp T Center for Virtualization to inform your own latency benchmarking before and after migrating workloads to the cloud We ll also share our recommended commands for consistent repeatable results running both intra zone cluster latency and inter region latency benchmarks Which tools and whyAll the tools in this area do roughly the same thing measure the round trip time RTT of transactions Ping does this using ICMP packets and several tools based on ping such as nping hping and TCPing perform the same measurement using TCP packets  For example using the following command ping sends one ICMP packet per second to the specified IP address until it has sent packets ping lt ip address gt c Network testing tools such as netperf can perform latency tests plus throughput tests and more In netperf the TCP RR and UDP RR RR request response tests report round trip latency With the o flag you can customize the output metrics to display the exact information you re interested in Here s an example of using the test specific o flag so netperf outputs several latency statistics netperf H lt ip address gt t TCP RR   o min latency max latency mean latency Note this uses global options H for remote host and t for test name with a test specific option o for output selectors Example As described in a previous blog post when we run latency tests at Google in a cloud environment our tool of choice is PerfKit Benchmarker PKB This open source tool allows you to run benchmarks on various cloud providers while automatically setting up and tearing down the virtual infrastructure required for those benchmarks  Once you set up PerfKit Benchmarker you can run the simplest ping latency benchmark or a netperf TCP RR latency benchmark using the following commands These commands run intra zone latency benchmarks between two machines in a single zone in a single region Intra zone benchmarks like this are useful for showing very low latencies in microseconds between machines that work together closely We ll get to our favorite options and method to run these commands later in this post Latency discrepanciesLet s dig into the details of what happens when PerfKit Benchmarker runs ping and netperf to illustrate what you might experience when you run such tests Here we ve set up two c standard machines running Ubuntu in zone us east c and we ll use internal ip addresses to get the best results  If we run a ping test with default settings and set the packet count to we get the following results By default ping sends out one request each second After packets the summary reports that we observed an average latency of milliseconds or microseconds For comparison let s run netperf TCP RR with default settings for the same amount of packets Here netperf reports an average latency of microseconds The ping average latency reported is microseconds different than the netperf one ping reports a value more than twice that of netperf Which test can we trust To explain this is largely an artifact of the different intervals the two tools used by default Ping uses an interval of transaction per second while netperf issues the next transaction immediately when the previous transaction is complete  Fortunately both of these tools allow you to manually set the interval time between transactions so you can see what happens when adjusting the interval time to match  For ping use the i flag to set the interval given in seconds or fractions of a second On Linux systems this has a granularity of millisecond and rounds down For example if you use an interval of seconds this rounds down to seconds or milliseconds If you request an interval smaller than millisecond ping rounds down to and sends requests as quickly as possible  You can start ping with an interval of milliseconds using ping lt ip address gt c i For netperf TCP RR we can enable some options for fine grained intervals by compiling it with the enable spin flag Then use the w flag which sets the interval time and the b flag which sets the number of transactions sent per interval This approach allows you to set intervals with much finer granularity by spinning in a tight loop until the next interval instead of waiting for a timer this keeps the cpu fully awake Of course this precision comes at the cost of much higher CPU utilization as the CPU is spinning while waiting   Note Alternatively you can set less fine grained intervals by compiling with the enable intervals flag Use of the w and b options requires building netperf with either the enable intervals or enable spin flag set The tests here are performed with the enable spin flag set You can start netperf with an interval of milliseconds using netperf H lt ip address gt t TCP RR w ms b   o min latency max latency mean latencyNow after aligning the interval time for both ping and netperf to milliseconds the effects are apparent ping netperf By setting the interval of each to milliseconds the tests now report an average latency of microseconds for ping and microseconds for netperf which are much more comparable You can illustrate this effect more clearly by running more tests with ping and netperf TCP RR over a range of varied interval times ranging from microsecond to around second and plotting the results The latency curves from both tools look very similar For intervals below millisecond round trip latency remains relatively constant around milliseconds From there latency steadily increases TakeawaysSo which tool s latency measurement is more representativeーping or netperfーand when does this latency discrepancy actually matter Generally we recommend using netperf over ping for latency tests This isn t due to any lower reported latency at default settings though As a whole netperf allows greater flexibility with its options and we prefer using TCP over ICMP TCP is a more common use case and thus tends to be more representative of real world applications That being said the difference between similarly configured runs with these tools is much less across longer path lengths Also remember that interval time and other tool settings should be recorded and reported when performing latency tests especially at lower latencies because these intervals make a material difference To run our recommended benchmark tests with consistent repeatable results try the following For intra zone cluster latency benchmarking This benchmark uses an instance placement policy which is recommended for workloads which benefit from machines with very close proximity to each other For inter region latency benchmarking Notice that the netperf TCP RR benchmarks run with no additional interval setting This is because by default netperf inserts no added intervals between request response transactions this induces more accurate and consistent results Note This latest netperf intra zone cluster latency result benefits from controlling any added intervals in the test and from using a placement group What s nextIn our next network performance benchmarking post we ll get into the details about how to use the new public facing Google Cloud global latency dashboard to better understand the impact of cloud migrations on your workloads  Also be sure to check out our PerfKit Benchmarker white paper and the PerfKit Benchmarker tutorials for step by step instructions running networking benchmark experiments Special thanks to Mike Truty Technical Curriculum Lead Google Cloud Learning for his contributions	2020-06-16 18:30:00