投稿時間:2022-09-05 01:16:26 RSSフィード2022-09-05 01:00 分まとめ(18件)

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IT	気になる、記になる…	AppleのAR/VRヘッドセット、最初のモデルの名称は｢Apple Reality Pro｣か	https://taisy0.com/2022/09/05/160965.html	apple	2022-09-04 15:26:22
IT	気になる、記になる…	｢iPhone 14 Pro｣と｢iPhone 14 Pro Max｣はより大きなバッテリーを搭載か	https://taisy0.com/2022/09/05/160962.html	apple	2022-09-04 15:14:20
python	Pythonタグが付けられた新着投稿 - Qiita	Spotify APIを用いた各国の音楽嗜好分析	https://qiita.com/sushi6006/items/fcfb3539d87eba98a435	spotifyapi	2022-09-05 00:53:29
golang	Goタグが付けられた新着投稿 - Qiita	Goの構造体内関数を利用してオブジェクト指向っぽくAPIにリクエストする	https://qiita.com/sey323/items/c04db83db1011051eb31	関数	2022-09-05 00:06:30
海外TECH	MakeUseOf	How to Set Up Shortcuts to Open System Properties in Windows 11	https://www.makeuseof.com/how-to-set-up-shortcuts-for-opening-system-properties-in-windows-11/	windows	2022-09-04 15:16:14
海外TECH	MakeUseOf	How Does a Lithium-Ion EV Battery Work?	https://www.makeuseof.com/how-does-lithium-ion-ev-battery-work/	battery	2022-09-04 15:16:14
海外TECH	DEV Community	Finished The JavaScript Free Course at Scrimba	https://dev.to/shaysframe/finished-the-javascript-free-course-at-scrimba-43l8	Finished The JavaScript Free Course at Scrimba Finally finished the long hrs plus course on Scrimba Maybe it s a bit late to start learning the basics as I m a software Engineering student and never really thought about becoming a WebApp developer but still it s better to be late than never right Well at least I think that way don t know about others hhh I think I really enjoyed the way Per teaches this course I ve never seen any teacher with such enthusiastic character I feel like just because of his enthusiasm I kept on going with this course and I m blessed that I ve come across this platform Though my end goal is to learn Angular and later some backend dev as well It seems there are no courses for them Things that really made me feel I m really learning is how using JavaScript we can dynamically manipulate a static webpage I was so surprised and I was like wow that s cool with just JavaScript and some CSS and HTML codes we can do so many things so cool I really hope I can be a good and one of the best WebAppDev out there gt and all the very best to all of the new learners as well OH also I was so happy when I found a bug in the course s code solutions One thing I noticed was that the Chrome extensions that Per builds have a little sneaky bug for example when the user presses the save input button the program would save an empty string or maybe it s called Null not sure input in the MyLeads inside the javascript and maybe also in the LocalStorage wait let me check real quick Okay yes I just confirmed it also used to add in the local storage an empty string which would take up an index place in the myLeads array so I was thinking as I was going through the course how to fix it I tried using some if condition until I came to the part of truthy and falsey value Instantly I got the solution how to fix this issues I fixed it later using this code snippet inputBtn addEventListener click function if inputEl value myLeads push inputEl value localStorage setItem myLeads JSON stringify myLeads inputEl value render myLeads console log myLeads Now it doesn t have the bug anymore where the string would have a bunch of empty string values when pressed on the Save Input button I also want to add some kinda remove button for each of the links when saved but it seems with my current knowledge of the language I m unable to figure it out as of now but I hope I will because of the very good suggestions I ve received from one of our Scrimba discord members to look into an array of list items I m assuming it s similar to Linked List in the C I ll look into it soon hopefully Since I really admire Per s teaching and really excited to learn more that s why decided to write a post because he suggested writing a post on the last scrim So probably I ll be sharing more of my learning journey in the future Though my writing style is very informal I hope I don t offend anyone and everyone takes it easy on me hhh I think I really enjoyed the course and now I ll start the free TypeScript course not sure how that ll go but fingers crossed hopefully I ll learn a lot from that course as well If anyone from here has some better suggestions or other platforms that can help me learn Angular and Something that goes well with Angular for the backend as well I d really appreciate any kind of positive feedback	2022-09-04 15:23:20
海外TECH	DEV Community	AWS Athena Query WAF logs	https://dev.to/aws-builders/aws-athena-query-waf-logs-17ko	AWS Athena Query WAF logs AbstractQuerying AWS WAF Logs AWS WAF logs include information about the traffic that is analyzed by your web ACL such as the time that AWS WAF received the request from your AWS resource detailed information about the request and the action for the rule that each request matched In AWS WAF the following three actions for rules applied to a Web ACL ALLOW Allows the request if it matches the rule BLOCK Blocks the request if it matches the rule COUNT Instead of allowing or blocking a request it detects the request as a count if it matches the rule And if there are multiple rules in the Web ACL it will move on to match against the other rules Finally if it has not been detected by any other rules set default action will be executed Count mode is an action that detects but does not actually allow or block the request It is generally used for rule verification We can use Athena to query AWS WAF logs for statistic of POST requests to a specific APIThis post introduces how to use Pulumi to create Athena database on the primary workgroup with logs table and partitions to query compare with Partition Projection Table Of ContentsTo create the AWS WAF tableLoad partitionsExample Queries for AWS WAF LogsUsing Pulumi to up the resourcesPartition Projection with Amazon Athena To create the AWS WAF table AWS WAF logs have a known structure whose partition scheme you can specify in advance and reduce query runtime The format of WAF logs is YY MM dd HH Here we just want to query logs in October so partitioned by day and object is import as pulumi from pulumi pulumi import as aws from pulumi aws const table name waf prod acquisition logs const bucket log s waf prod acquisition all logs function createTableQuery return CREATE EXTERNAL TABLE IF NOT EXISTS table name httpRequest array lt struct lt clientIp string uri string httpMethod string gt gt PARTITIONED BY day string ROW FORMAT SERDE org openx data jsonserde JsonSerDe LOCATION s bucket log Load partitions Load partitions by ALTER TABLE ADD PARTITION and here we restrict day and onlyfunction addPartitonQuery return ALTER TABLE table name ADD IF NOT EXISTS PARTITION day LOCATION s bucket log PARTITION day LOCATION s bucket log PARTITION day LOCATION s bucket log Example Queries for AWS WAF Logs The query filter httprequest with method POST uri api register and then group clientip with count number gt const topUserQuery with t as SELECT httprequest clientip clientip httprequest uri uri httprequest httpmethod httpmethod FROM sampledb waf prod acquisition logs WHERE httprequest uri api register AND httprequest httpmethod POST SELECT t clientip count as cnt FROM t group by t clientip having count gt order by cnt DESC Using Pulumi to up the resources Source code index ts import as pulumi from pulumi pulumi import as aws from pulumi aws const table name waf prod acquisition logs const bucket log s waf prod acquisition all logs const topUserQuery with t as SELECT httprequest clientip clientip httprequest uri uri httprequest httpmethod httpmethod FROM table name WHERE httprequest uri api register AND httprequest httpmethod POST SELECT t clientip count as cnt FROM t group by t clientip having count gt order by cnt DESC function createTableQuery return CREATE EXTERNAL TABLE IF NOT EXISTS table name httpRequest array lt struct lt clientIp string uri string httpMethod string gt gt PARTITIONED BY day string ROW FORMAT SERDE org openx data jsonserde JsonSerDe LOCATION s bucket log function addPartitonQuery return ALTER TABLE table name ADD IF NOT EXISTS PARTITION day LOCATION s bucket log PARTITION day LOCATION s bucket log PARTITION day LOCATION s bucket log function getQueryUri queryId string const config new pulumi Config aws const region config require region return https region console aws amazon com athena home force query saved queryId const athena waf db new aws athena Database prod waf logs bucket aws athena query results us east forceDestroy true name prod waf logs const createTableAthenaQuery new aws athena NamedQuery create waf logs table database athena waf db id query createTableQuery description Create WAF logs table const addPartitionAthenaQuery new aws athena NamedQuery add waf logs partitions database athena waf db id query addPartitonQuery description Add partitions to WAF logs table base on year month day const topUserAthenaQuery new aws athena NamedQuery topUser database athena waf db id query topUserQuery description Run query to get data exports createTableAthenaQueryUri createTableAthenaQuery id apply getQueryUri exports addPartitionAthenaQueryUri addPartitionAthenaQuery id apply getQueryUri exports topUserQueryUri topUserAthenaQuery id apply getQueryUri Pulumi up and then check outputPulumi stack graphClick on the output link of saved queries to run on AWS Athena Partition Projection with Amazon Athena You can use partition projection in Athena to speed up query processing of highly partitioned tables and automate partition management In partition projection partition values and locations are calculated from configuration rather than read from a repository like the AWS Glue Data Catalog Because in memory operations are often faster than remote operations partition projection can reduce the runtime of queries against highly partitioned tables Partition projection automatically adds new partitions as new data is added This removes the need for you to manually add partitions by using ALTER TABLE ADD PARTITION Important Enabling partition projection on a table causes Athena to ignore any partition metadata registered to the table in the AWS Glue Data Catalog or Hive metastoreNow we create Athena table with partition projection and run the query to compare with previous result Pulumi stack with projection index ts import as pulumi from pulumi pulumi import as aws from pulumi aws const table name waf prod acquisition logs const bucket log s waf prod acquisition all logs const topUserQuery with t as SELECT httprequest clientip clientip httprequest uri uri httprequest httpmethod httpmethod FROM table name WHERE httprequest uri api register AND httprequest httpmethod POST AND datehour gt AND datehour lt SELECT t clientip count as cnt FROM t group by t clientip having count gt order by cnt DESC function createTableQuery return CREATE EXTERNAL TABLE IF NOT EXISTS table name httpRequest array lt struct lt clientIp string uri string httpMethod string gt gt PARTITIONED BY datehour STRING ROW FORMAT SERDE org openx data jsonserde JsonSerDe STORED AS INPUTFORMAT org apache hadoop mapred TextInputFormat OUTPUTFORMAT org apache hadoop hive ql io HiveIgnoreKeyTextOutputFormat LOCATION s bucket log TBLPROPERTIES projection enabled true projection datehour type date projection datehour range NOW projection datehour format yyyy MM dd HH projection datehour interval projection datehour interval unit HOURS storage location template s bucket log datehour function getQueryUri queryId string const config new pulumi Config aws const region config require region return https region console aws amazon com athena home force query saved queryId const athena waf db new aws athena Database prod waf logs bucket aws athena query results us east forceDestroy true name prod waf logs const createTableAthenaQuery new aws athena NamedQuery create waf logs table database athena waf db id query createTableQuery description Create WAF logs table const topUserAthenaQuery new aws athena NamedQuery topUser database athena waf db id query topUserQuery description Run query to get data exports createTableAthenaQueryUri createTableAthenaQuery id apply getQueryUri exports topUserQueryUri topUserAthenaQuery id apply getQueryUri Pulumi stack graphCreate tableRun queryAlthough small partition but we see it is faster than manual loading partitions Vu Dao Follow AWSome Devops AWS Community Builder AWS SA ️CloudOpz ️ vumdao vumdao	2022-09-04 15:16:03
海外TECH	DEV Community	Why we need a new database for Industry 4.0	https://dev.to/reduct-storage/why-we-need-a-new-database-for-industry-40-3g6l	Why we need a new database for Industry For the last few years I have been working in the Industry branch At my company we integrate AI systems into industrial processes to monitor production quality Working through our first projects we had to solve many issues in our infrastructure and most of them were related to data storage and retrieval In this post I d like to describe these issues and propose Reduct Storage as a possible solution The Data ZooIf you have any experience in AI ML field you will already know that data is the key factor In industrial environments to get AI ready data can be especially challenging because the input is extremely diverse It can be some data from industrial automation temperature pressure etc pictures from a CV Computer Vision camera or sound Let s skip the problem of gathering data from data sources and imagine that we have a magic box which provides each second the following data scalar values temperature machine state time series with sample rate K sound vibration matrices × full HD pictures Now we have the following issues How can we handle the data in a generic way when we have variable dimensional data points vectors matrices tensors How can we get rid of noise and compress the data How can we keep a history of the data which can be from a few bytes to a few megabytes in size In this article I would like to discuss the problem of keeping a history of such diverse data However if you are interested in the first two issues you can have a look at this solution here Why Do We Need Historical Data First of all we need the history to train our models If your AI application recognizes donuts in a box and counts them it should be trained with a dataset of a few thousand images This data set can be the photos from a CV camera for a day or any other time interval when the production was working The second case where we need the history is model validation We must launch our system for several days and check the results For example we can take random photos of boxes of donuts count the donuts manually and compare the results with the metrics from the model Here only history is not enough we have to connect images and results with some identifier In our application this is a timestamp when we capture a photo with the CV camera And finally our customer may want to have a record of the “bad boxes which have the wrong number of donuts to understand why it happened In other words we use the history for accident investigation The Place To Keep Historical DataWe have to keep our data close to the process There are many reasons for this Above all this is industrial production and it s almost always an isolated network due to security reasons Moreover some data sources like CV cameras produce intense traffic so it is better to filter and compress the data before streaming it somewhere else To solve these issues we have to install an edge device on the production side which collects and stores the data continuously and we now have to keep in mind two new problems Disk space limitedLow data availabilityThe problem of the disk space is quite obvious and can be solved by removing the old data when we reach some quota However low data availability needs explaining As I said before the network on the production side is usually isolated from the Internet You may ask the customer for some temporal access to the device or plug in an LTE modem but you don t have a high bandwidth and stable connection to the device and its data On the other hand it is impossible to train the model on the device because of its limited computation power In the picture you can see a typical AI application We keep a history of the input data and metrics on the device as a ring buffer for a few days When we need it for training or validation we establish a connection between the device and cloud and replicate data for some time interval Afterwards we can work with the highly available piece of the data What Is Data Storage For Industry Now that I have explained all the issues we meet building AI applications we are able to specify the following requirements for our data storage It should be a time series database because we have to take data for some time interval when the production was working or an accident happened and so on It should store blobs ーwe may have images metrics as JSON documents sound data etc So data is in different formats and sizes It should have a quota and may work as a FIFO buffer removing old data when we reach the quota It should have replication and a tool to copy data for some interval from one database to another one At my company we didn t find a ready to use database which could cover all these requirements So we use an object storage to store blobs and a time series database to store metrics and links to the objects for faster searching It is a completely working solution but we had to develop many tools and workarounds to make it work What is why I start the Reduct Storage project as a time series storage which can be natively used in Industry applications	2022-09-04 15:05:07
海外TECH	Engadget	Apple will reportedly announce new AirPods Pro on Wednesday	https://www.engadget.com/apple-will-reportedly-announce-airpods-pro-2-at-far-out-event-154656928.html?src=rss	Apple will reportedly announce new AirPods Pro on WednesdayUpdated iPhone and Watch models won t be the only new devices at Apple s forthcoming “Far Out event According to Bloomberg s Mark Gurman the company is also readying a set of second generation AirPods Pro earbuds “The new AirPods Pro will update a model that first went on sale in October Gurman writes in his latest Power On newsletter “I reported last year that new AirPods Pro would arrive in and now I m told that Wednesday will be their big unveiling Rumors about the AirPods Pro have been percolating for a few years Back in Gurman wrote that Apple had tested a prototype with a more compact design that eliminated the stems so closely associated with the company s earbuds At one point Apple was also reportedly considering adding more fitness related features More recently the consensus has been that the new AirPods Pro won t have a dramatically different design Instead they will include the company s next generation H processor for improved audio quality and battery life The earbuds are also expected to support the company s lossless audio format and come with a redesigned charging case that features more robust Find My capabilities	2022-09-04 15:46:56
海外TECH	Engadget	Hitting the Books: Newfangled oceanographers helped win WWII using marine science	https://www.engadget.com/hitting-the-books-lethal-tides-catherine-musemeche-william-morrow-150053428.html?src=rss	Hitting the Books Newfangled oceanographers helped win WWII using marine scienceLethal Tides tells the story of pioneering oceanic researcher Mary Sears and her leading role in creating one of the most important intelligence gathering operations of World War II Languishing in academic obscurity and roundly ignored by her male colleagues Sears is selected for command by the godfather of climate change Roger Revelle and put in charge of the Oceanographic Unit of the Navy Hydrographic Office She and her team of researchers are tasked with helping make the Navy s atoll hopping campaign in the Pacific a reality through ocean current analysis mapping for bioluminescence fields and deep water crevasses that could reveal or conceal US subs from the enemy and cartographing the shore and surf conditions of the Pacific Islands and Japan itself nbsp nbsp Harper CollinsFrom Lethal Tides by Catherine Musemeche Copyright by Catherine Musemeche Reprinted by permission of William Morrow an imprint of HarperCollins Publishers ーWashington D C ーFour months into her job at the Oceanographic Unit Sears had learned a lot about what the military needed from oceanographers She had learned it from meeting with Roger Revelle and his cohorts on the Joint Chiefs Subcommittee on Oceanography where she listened to concerns about what the navy was lacking and took detailed notes She had learned it from answering requests from every branch of the military for tidal data wave forecasts and currents to support tactical operations overseas She had learned it from gathering all the known references on drift and drafting an urgently needed manual to help locate men lost at sea The more she took in the more she understood exactly how dire the lack of oceanographic intelligence was and how it could undermine military operations And now she was going to have to do something about it Sears was no longer at Woods Hole where she had been sidelined by her male colleagues who sailed on Atlantis and collected her specimens while she stayed onshore For the first time in her life she was in charge It was now her responsibility to set up and direct the operations of an oceanographic intelligence unit researching vital questions that impacted the war She had never been asked to set agendas call meetings or give people orders much less make sure they carried them out but she was going to have to do those things to get the military the information they needed to win the war She was going to have to take the lead To assume the role of leader Sears would need to push through her innate reserved tendencies and any thoughts racing around in her head that screamed you don t belong here Taking charge of a team of oceanographers did not come naturally to a bench scientist who worked alone all day staring into a microscope especially if that scientist was a woman but Sears had learned from watching Revelle He had started as an academic in a tweed jacket with elbow patches but when the navy made him a lieutenant he took on the persona of “the man in charge When Revelle walked into the conference room of the Munitions Buildingーtall broad shouldered and uniformedーhe was in complete control He spoke in a booming decisive voice He had an answer for every question He solved problems Now thanks to the overly confident Revelle Sears was wearing the uniform too She had stepped into his shoes at the Hydrographic Office She was not going to let anyone think she couldn t fill them During the first year of the war there had been a mad scramble in Washington to gather information about the countries where troops might be fighting especially distant locales like New Guinea Indochina Formosa and all the tiny islands dotting the sixty four million square miles of the Pacific Ocean World War II spilled across the globe into places most Americans had never heard of and where the military had never been It was unlike any other war Americans had fought Getting to these places would be the easy part The navy could navigate its way to just about any far off target anywhere in the world thanks to the nautical charts maintained by the Hydrographic Office but what would it find when it got there Were the beaches flat and wide or would they be narrow steep and difficult to land on Was the terrain mountainous volcanic or swampy Would high winds and waves impede a smooth landing Would they land during the rainy season Who were the native people and what language did they speak Were there drivable roads once troops got across the beaches All these details mattered because going to war was more than hauling men tanks rifles and ammunition to a designated site and attacking the enemy The troops needed to come prepared for whatever they might find which meant knowing everything they could about an area in advance The military searched their files for background materials They found spotty reports scattered among files of government agencies but no comprehensive references that spanned the globe and nothing that left them with a sense of what to expect when they went to war The years between World War I and World War II stretched across the lean budgets of the Depression years The military had languished along with the rest of the countryーtraining soldiers with Springfield rifles manufactured in and using borrowed cruise liners to transport troops With Congress keeping the purse strings tight there had been no money to spend gathering intel for wars that might pop up one day in some remote corner of the world The file cabinets were all but empty As one intelligence official summed it up “We were caught so utterly unprepared What would the armed forces do now to catch up in the midst of an ongoing war It was a problem that had vexed Roosevelt even before the war To help remedy the intelligence gap he had appointed General William Donovan in mid as coordinator of information a role that morphed into the director of the Office of Strategic Services OSS during World War II But Donovan too was getting a late start and his mission was focused on espionage and sabotage not foreign terrain The logical source of information for the military was its own intelligence agencies The Office of Naval Intelligence ONI the Office of Strategic Services OSS the Army Corps of Engineers and G the army s intelligence unit had all started spinning out their own internal intelligence reports duplicating effort and expense But like jealous siblings guarding their toys the agencies kept their reports to themselves which only hampered preparations in the long run Furthermore these groups had not anticipated the massive landscape this war would cover and there were still many gaps to fill “Who would have thought when Germany marched on Poland that we would suddenly have to range our inquiries from the cryolite mines of Ivigtut Greenland to the guayule plants of Yucatan Mexico or from the twilight settlements of Kiska to the coral beaches of Guadalcanal Who even thought we should be required to know or indeed suspected that we did not know everything about the beaches of France and the tides and currents of the English Channel a CIA official later mused That was exactly the problem there was no predicting just what information might be needed in a war of global proportions Whether it was knowing where to collect an essential mineral or finding the latest tidal data the need for information beyond just estimating enemy troop strength or weaponry was enormous The military leaders trying to plan the warーwhere to send troops first and what operations to execute when they got thereーwere particularly hindered Their information needs were unfolding in real time and without a centralized forum for gathering collating analyzing and disseminating information the United States found itself at a disadvantage in war planning Roosevelt began to realize the extent of the problem when he started meeting with Churchill and the British Chiefs of Staff in a series of war planning conferences At the Arcadia Conference held two weeks after World War II began the British had the edge in strategic planning They had operated under a system for almost two decades where the British Chiefs of Staff served as a supreme unified command reaping the benefits of cooperation between the Admiralty and the British Army The United States had no such corresponding body Weeks after the first conference Roosevelt formed his own Joint Chiefs of Staff a unified high command in the United States composed of Admiral William D Leahy the president s special military adviser General George C Marshall chief of staff of the army Admiral Ernest J King chief of Naval Operations and commander in chief of the U S Fleet and General Henry H Arnold deputy army chief of staff for air and chief of the Army Air Corps This impressive array of leaders could draw up battle plans but it would take time to turn themselves into a truly cooperative body At the next war planning conference at Casablanca in January Roosevelt noticed yet another fault in the American war planning apparatusーthe information gap between the British and the Americans No matter what subject came up in any corner of the world the British had prepared a detailed analysis on the area at issue and pulled those reports out of their briefcases The Americans weren t able to produce a single study that could match the quality of the British reports a failing that frustrated and embarrassed the president “We came we listened and we were conquered Brigadier General Albert C Wedemeyer the army s chief planner shared with a colleague following the Casablanca Conference “They had us on the defensive practically all the time The British had a two year start on the Americans in this war and they had learned the hard way about the need to collect reliable topographic intelligence During the German invasion of Norway in the Royal Air Force Bomber Command had been forced to rely on a edition of a Baedeker s travel guide for tourists as the sole reference in planning a counterattack In the same offensive the Royal Navy had only scanty Admiralty charts to guide an attack on a major port an intelligence deficiency that could have easily doomed the mission The British had gotten away with one in their Norway mission but they knew they had to do better So they had formed the Interservices Topographical Department to implement the pooling of topographical intelligence generated by the army navy and the Allies and tasked it with preparing reports in advance of overseas military operations This was where Churchill s reports came from and why his aides could pull them out of their briefcases when the most sensitive joint operations were being planned To be on an equal footing with the British the Americans needed to be able to do the same which meant they were going to have to find a way to rectify the lack of information and fast operations were being planned To be on an equal footing with the British the Americans needed to be able to do the same which meant they were going to have to find a way to rectify the lack of information and fast	2022-09-04 15:00:53
海外科学	NYT > Science	Humpback Whales Pass Their Songs Across Oceans	https://www.nytimes.com/2022/08/30/science/humpback-whale-songs-cultural-evolution.html	cultural	2022-09-04 15:03:17
金融	◇◇　保険デイリーニュース　◇◇（損保担当者必携！）	保険デイリーニュース(09/05)	http://www.yanaharu.com/ins/?p=5020	三井住友海上	2022-09-04 15:29:57
ニュース	BBC News - Home	Brighton 5-2 Leicester: Graham Potter's side maintain excellent start to Premier League season	https://www.bbc.co.uk/sport/football/62704218?at_medium=RSS&at_campaign=KARANGA	Brighton Leicester Graham Potter x s side maintain excellent start to Premier League seasonBrighton fight back from conceding a first minute goal to beat struggling Leicester City in a seven goal thriller at the Amex	2022-09-04 15:14:57
サブカルネタ	ラーブロ	一龍＠下北沢　「チャーシュー麺、ほか」	http://ra-blog.net/modules/rssc/single_feed.php?fid=202461	続きを読む	2022-09-04 16:01:30
北海道	北海道新聞	サッカー、伊東はフル出場　フランス１部	https://www.hokkaido-np.co.jp/article/726280/	共同	2022-09-05 00:27:00
北海道	北海道新聞	クレインズ、ハルラに２連敗　ＩＨアジア・リーグ	https://www.hokkaido-np.co.jp/article/726279/	釧路アイスアリーナ	2022-09-05 00:20:00
北海道	北海道新聞	渡辺・東野組、２位でも手応え　バドミントンジャパン・オープン	https://www.hokkaido-np.co.jp/article/726277/	世界ランキング	2022-09-05 00:02:00