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1. 发明专利

JP2020091844A リーン生産法をシステムデリバリテストに適用するウェブベースのアプリケーションプラットフォーム审中-公开
公开(公告)号：JP2020091844A
公开(公告)日：2020-06-11
申请号：JP2019184416
申请日：2019-10-07
申请人： ACCENTURE GLOBAL SOLUTIONS LTD
发明人： MICHEL-ETIENNE LIEGARD , ANTOINE SEBILLEAU
IPC分类号： G06F11/36
摘要：【課題】確実な統合を可能にし、且つ/またはソフトウェアシステムのデリバリを加速する適切なツールまたはツールのスイートを提供する。【解決手段】データドライブテスト(DDT)プラットフォームは、ベンダバックエンドシステムによりホストされるソフトウェアシステムのテスト中にトランザクションを実行するためのデータを含むテストデータを受信する402。テストデータを使用してソフトウェアシステムによりトランザクションを実施するためのアクティビティのセットを含み、ソフトウェアシステムにより実行されるテストシナリオを提供する404。ハーネスを使用したテストシナリオの実行を、スケジューラによりスケジュールする406。テストハーネスを使用したテストが実行される408。ベンダバックエンドシステムからテスト結果を受信する410。テスト結果と予期される結果とを比較し、比較を出力として提供する412。【選択図】図4

2. 发明专利

JP2020092414A ブロックチェーンのための暗号化データ共有管理审中-公开
公开(公告)号：JP2020092414A
公开(公告)日：2020-06-11
申请号：JP2019202258
申请日：2019-11-07
申请人： ACCENTURE GLOBAL SOLUTIONS LTD
发明人： DAVID TREAT , JOHN VELISSARIOS , TERESA SHEAUSAN TUNG , LUIZ PIZZATO , DEBORAH GARAND , ATIEH RANJBAR KERMANY , CHANG CHIA JUNG , ARJUN SITARAMAN KRISHNAN
IPC分类号： H04L9/32 , G09C1/00
摘要：【課題】分散台帳技術ベースのデータ構造に対する暗号化データ共有管理のためのシステムを提供する。【解決手段】管理型データ共有環境100において、分散台帳技術ベースのデータ構造150への計算データ104の配置をサポートする。計算データは、計算データに適用される処理演算の権限および協調をサポートするための複数レイヤの暗号化を有する。複数レイヤの暗号化は、計算当事者により処理される計算データの共有を、計算データの内容を計算当事者に漏洩することなく可能にする準同型レイヤを含む。準同型暗号化された形式のままで、準同型計算データ106は、基礎データの秘密性を維持しながら、処理演算の適用をサポートする。【選択図】図1

3. 发明专利

JP2020091836A 拡大現実のためのリアルタイムモーションフィードバック审中-公开
公开(公告)号：JP2020091836A
公开(公告)日：2020-06-11
申请号：JP2019165204
申请日：2019-09-11
申请人： ACCENTURE GLOBAL SOLUTIONS LTD
发明人： PERIKLES RAMMOS , CIAN O'HAGAN , EOGHAN KIDNEY , SHANNON POWER , NAVDEEP SHARMA , SHANE O MEACHAIR , FINBARR S TARRANT , RICHARD MCNIFF , SARAH HEALY
IPC分类号： G06F3/01 , G06F3/0484
摘要：【課題】コンピュータ拡張環境からのリアルタイムセンサデータに予測的に応答するシステム及び方法を提供する。【解決手段】システムは、コンピュータ拡張環境からセンサデータを受信し、特徴モデル、予測モデルおよびフィルタ基準を取得する。システムは、特徴モデルおよびセンサデータに基づき第1のイベントを導出し、第1のイベントがフィルタ基準の中の許可対象イベント識別子に関連すると判断する。システムは、第2のイベントが第1のイベントの後に発生すると許可対象イベント識別子および予測モデルに基づき予想する。システムは、第2のイベントを示すアクションメッセージをコンピュータ拡張環境に送信する。リアルタイムプラットフォームがセンサデータに予測的に応答する一方で、特徴モデル、予測モデルおよび/またはフィルタ基準に対する更新が、機械学習および統計解析を使用して一括して発生する。【選択図】図4

4. 发明专利

AU2021258019A1 UTILIZING MACHINE LEARNING MODELS TO GENERATE INITIATIVE PLANS 未知
公开(公告)号：AU2021258019A1
公开(公告)日：2022-09-29
申请号：AU2021258019
申请日：2021-10-28
申请人： ACCENTURE GLOBAL SOLUTIONS LTD
发明人： SRIVASTAVA ARPIT , VOHRA ANIL , YENDIGERI DEEPA , HATHI BHUDEEP , PAUL SUDIP KUMAR , NAGARAJ ROHITH Y , SARKAR AMARTYA , KUMAR SAURAV , NAGARAJAN NIVAS
IPC分类号： G06Q10/00 , G06K9/62 , G06N20/00
摘要： A device may receive and process client data, with a first machine learning model, to determine current state data identifying a current state of a client. The device may process the current state data and prior client data, with a second machine learning model, to determine a problem statement for the client and future state data of the client. The device may utilize the second machine learning model to identify initiatives for the client, and costs of the initiatives, based on the problem statement, the current state data, and the future state data, and to assign benefits and priorities to the initiatives. The device may process the initiatives, the benefits and priorities of the initiatives, and the costs of the initiatives, with the second machine learning model, to generate an initiative plan for solving a problem of the problem statement, and may perform actions based on the initiative plan. Page 5/10 .0 > CL) > TO = m CL o0 CI)n 0 j 0 CI)nm _ 00 o.CcV CEll C) > 0-

5. 发明专利

AU2022215232A1 ARTIFICIAL INTELLIGENCE AND ROBOTIC PROCESS AUTOMATION FOR AUTOMATED DATA MANAGEMENT 未知
公开(公告)号：AU2022215232A1
公开(公告)日：2022-09-01
申请号：AU2022215232
申请日：2022-08-11
申请人： ACCENTURE GLOBAL SOLUTIONS LTD
发明人： DIWAN GAURAV , GOGUEN TRACY ANN
IPC分类号： G06Q10/10 , G10L15/18
摘要： A computer-implemented method, including receiving, by a device, a user input, wherein the user input is received via a communication that is occurring in real time with a user, wherein the user input is received from a virtual assistant device, and wherein the communication is associated with an account of the user, identifying, by the device, a data management platform associated with the account, causing, by the device, a natural language processing model to analyze the user input, wherein the natural language processing model is configured to identify, from the user input, an operation associated with the account, the operation including one or more of creating the account, editing user information associated with the account, adding information to the account, removing information from the account, removing an association with the account, adding a service associated with the data management platform, or linking the account to another data management platform that is different from the data management platform, identifying, by the device, the operation that is to be performed, wherein the operation is to be performed according to the user input, and wherein the operation is to be performed in association with the account, determining, by the device, whether the operation can be performed using an application programming interface (API) enabling direct access to the data management platform, wherein determining whether the operation can be performed using the API includes determining whether the data management platform permits a backend service to be used to perform the operation, and determining whether the backend service is operable to perform the operation, the backend service determined not to be operable to perform the operation when one or more of the backend service is outdated, the backend service is corrupted, the backend service is unavailable, or the device is incompatible with the data management platform, and selectively causing, by the device, the operation to be performed on the data management platform using an API call when the operation is determined to be capable of being performed using the API enabling direct access to the data management platform, or a robotic process automation (RPA) when the operation is determined not to be capable of being performed using the API associated with the data management platform, the RPA using a user interface associated with the data management platform to perform the operation by identifying information in the user input that is to be used to update the account according to the operation, identifying the user interface associated with the data management platform, identifying an element of the user interface that permits the account to be updated with the information according to the operation, and causing the element to update the account by automatically entering the information via the user interface.

6. 发明专利

BR112022002745A2 DESACOPLAMENTO DIGITAL 未知
公开(公告)号：BR112022002745A2
公开(公告)日：2022-08-09
申请号：BR112022002745
申请日：2020-08-12
申请人： ACCENTURE GLOBAL SOLUTIONS LTD
发明人： ALEXANDER ZEIER , DOMINIK WAGENKNECHT , ALEXANDER KLEBER
IPC分类号： G06F8/65
摘要： DESACOPLAMENTO DIGITAL. A presente invenção refere-se a arquiteturas de desacoplamento digital que permite que sistemas de computação existentes executem em paralelo com novas tecnologias de computação. Em alguns aspectos, um método inclui receber, por um sistema de desacoplamento digital e de um sistema de computação de fonte, um ou mais conjuntos de dados atualizados que cada um inclui dados que foram atualizados no sistema de computação de fonte. Uma entrada de dados de fonte de uma tabela de fonte de um banco de dados do sistema de desacoplamento digital é atualizada com base em cada conjunto de dados atualizados. Em resposta a detectar a mudança na tabela de fonte, uma entrada de dados alvo que inclui dados da entrada de dados de fonte atualizados é adicionada a uma tabela alvo do banco de dados. Um módulo adaptador obtém os dados da entrada de dados alvo e gera um evento que especifica os dados da entrada de dados alvo. O evento é enviado para um ou mais elementos de computação de destino.

7. 发明专利

AU2022204683A1 UTILIZING A MACHINE LEARNING MODEL TO IDENTIFY ACTIVITIES AND DEVIATIONS FROM THE ACTIVITIES BY AN INDIVIDUAL 未知
公开(公告)号：AU2022204683A1
公开(公告)日：2022-07-21
申请号：AU2022204683
申请日：2022-06-30
申请人： ACCENTURE GLOBAL SOLUTIONS LTD
发明人： ERIKSSON LAETITIA CAILLETEAU , CHAN KAR LOK , VALLI FAISAL AHMED , ASHLEY CHRISTOPHER PAUL
IPC分类号： G06Q50/22
摘要： A method, including receiving, by a device, configuration information associated with configuring an application for monitoring an individual, wherein the configuration information includes at least one of information identifying physical characteristics of the individual, information identifying medications taken by the individual, personal information of the individual, or information associated with a caregiver of the individual, receiving, by the device, historical information associated with the individual, wherein the historical information includes at least one of information associated with a health history of the individual, information associated with health histories of other individuals, information associated with activities of the individual, or information associated with activities of the other individuals, creating, by the device, a training set by performing dimensionality reduction to reduce the configuration information and the historical information to a minimum feature set, performing, by the device, binary recursive partitioning to split the configuration and historical information associated with the minimum feature set into partitions and/or branches training, by the device using an unsupervised training procedure and based on the training set, a machine learning model to generate a trained machine learning model, wherein the unsupervised training procedure includes a neural network technique, providing, by the device, third-party application programming interfaces (APIs) to a plurality of client devices associated with the individual, at least one of the third-party APIs enabling an activity service to track physical activity of the individual, receiving, by the device and via the application and the third party APIs, monitored information associated with the individual from the plurality of client devices associated with the individual, the plurality of client devices including a wearable device, an image sensor, and an audio sensor; and the monitored information including video of the individual captured by the image sensor, audio of the individual captured by the audio sensor, a heart rate, a number of steps taken, and blood pressure captured by the wearable device, and the physical activity of the individual tracked using the at least one third party API, pre processing, by the device, the monitored information to generate pre-processed monitored information that is understood by the trained machine learning model, including one or more of performing natural language processing on textual information associated with the monitored information, perform video analytics on video information associated with the monitored information, perform voice or audio recognition on audio information associated with the monitored information, processing, by the device, the pre-processed monitored information, with the trained machine learning model, to identify one or more activities of the individual, determining, by the device, a routine associated with the individual based on identifying the one or more activities of the individual, processing, by the device, the monitored information, using the partitions and/or branches associated with the trained machine learning model, to identify one or more deviations from the routine by the individual; and performing, by the device, one or more actions based on the one or more deviations from the routine by the individual, the one or more actions including one or more of causing a robot to provide medication to the individual based on a first deviation of the one or more deviations indicating that the individual is unable to walk due to an accident, causing an autonomous emergency vehicle to traverse a route to the individual.

8. 发明专利

AU2020204202B2 SKILL PROFICIENCY SYSTEM 未知
公开(公告)号：AU2020204202B2
公开(公告)日：2022-06-30
申请号：AU2020204202
申请日：2020-06-24
申请人： ACCENTURE GLOBAL SOLUTIONS LTD
发明人： COLETTA NICOLE , VENKATESWARA SHEKAR NALLE PILLI , GOODYER SUSAN , WACKER JAMES H , BOAZ NATHAN M
IPC分类号： G06Q10/06
摘要： A device, including one or more memories, and one or more processors, communicatively coupled to the one or more memories, that receive a document associated with an entity, parse the document using a natural language processing technique to generate profile information associated with the entity, store the profile information in a data structure, of a plurality of data structures, of a first server, communicate with the first server to obtain data regarding the entity, the data stored by one or more data structures, of the plurality of data structures, of the first server, process the data regarding the entity to determine information relating to one or more data entries of the data, process the information relating to the one or more data entries of the data to generate a classification of the entity, the classification of the entity associated with a value corresponding to a particular data entry, of the one or more data entries, satisfying a threshold value, identify a set of roles associated with the entity, each role, of the set of roles, associated with a particular set of skills, determine, for a particular role of the set of roles, a duration and a recency, the particular role associated with a particular skill, identify a proximate skill relating to the particular skill, the entity associated with a duration and a recency of the proximate skill, determine a skill proficiency level based on the duration and recency of the proximate skill, generate one or more recommendations, for a role assignment for the entity, based on the skill proficiency level, transmit information associated with the one or more recommendations to another entity for validation, provide a validation user interface to the other entity to cause input to be received confirming that the entity utilized a set of skills associated with the role assignment, communicate with a second server to cause the one or more recommendations to be implemented for the entity, the one or more recommendations implemented based upon receiving the input confirming that the entity utilized the set of skills, update the classification of the entity to generate an updated classification based on the profile information, generate another recommendation based on the updated classification of the entity, and communicate with the second server to cause the other recommendation to be implemented for the entity. a) a) w 0) a) C: C )- -zc : c 'E a) cu x 0) Cu 4C Z 0U u CL a) Eo c a~) C a ) : 0 E a 76 LU o ~ W 02 > C)u C) C-

9. 发明专利

AU2021200678B2 LOCATION-BASED RISK ALERTS 未知
公开(公告)号：AU2021200678B2
公开(公告)日：2022-06-23
申请号：AU2021200678
申请日：2021-02-03
申请人： ACCENTURE GLOBAL SOLUTIONS LTD
发明人： MCDOUGALL ANTHONY PETER , SIMMONS MICHAEL JOHN
IPC分类号： G08B31/00 , G06Q50/10 , G08B23/00 , G08B27/00
摘要： A location-based risk alerting system is disclosed. When information regarding a risk assessment situation is received, the location and time attributes of the risk assessment situation are extracted, a risk score is calculated and a risk alert is generated to include the attributes and the risk score upon validating the received information for risk. The risk alert is transmitted to client devices of subscribers where a user-specific risk score is calculated at each client device based on a comparison of the distance of the client device from the location attribute and the time at which the risk alert is received with the time attribute. The risk alert is displayed at the client device based on the user-specific risk score and information regarding the user is shared with trusted authorities upon receiving user consent. 0zI l- U) or0 I- 0 w/ 0 C14 0 0 0- w ) W0

10. 发明专利

CA3130866A1 IDENTIFICATION AND VERIFICATION OD MEDICATION 未知
公开(公告)号：CA3130866A1
公开(公告)日：2022-04-16
申请号：CA3130866
申请日：2021-09-15
申请人： ACCENTURE GLOBAL SOLUTIONS LTD
发明人： TRUSCOTT ANDREW J , BISCHOFF ETHAN R
IPC分类号： G16H20/10 , G06N3/02 , G06V10/764 , G06V10/82
摘要： In some implementations, a device may receive prescription information associated with a medication in a container. The device may cause a camera to capture first image data associated with the medication while the medication is in the container and the container is positioned on a receptacle. The device may cause an adjusting device to reposition the container on the receptacle. The device may cause the camera to capture second image data associated with the medication while the medication is in the container. The device may process, via a neural network, the first image data and the second image data to identify the medication based on depictions of individual units of the medication included in the first image data and the second image data. The device may verify the medication based on the prescription information and an identifier of the medication provided by the neural network.

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