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SYSTEM AND METHOD FOR AUTOMATED END-TO-END COMPUTATIONAL REPRODUCIBILITY AUDITING OF SCIENTIFIC RESEARCH

Resumen de: US20260310883A1

0000 A system for automated computational reproducibility auditing of scientific research comprises an input processing pipeline comprising identity resolution, paper retrieval, and resource discovery modules, an analysis pipeline comprising text extraction, a result extraction, and bill of materials construction modules, a reconstruction and execution environment comprising workspace reconstruction, analysis execution module, and result comparison modules, and a computing system to perform a method comprising receiving as input a paper identifier or informal descriptor, acquiring a digital form of the identified paper, extracting structured information from the paper, identifying key results from the paper, constructing a bill of materials for paper, obtaining necessary data files and code, synthesizing a scientific workflow specification, synthesizing a computation environment specification, constructing a workspace, executing analysis of the scientific workflow, comparing results obtained through reproduction with the key results extracted from the original paper, and synthesizing a report documenting the entire reproduction attempt.

DISCOVERY OF DEPLOYED APPLICATIONS

Resumen de: US20260311087A1

0000 A system has been created that can discover the underlying cloud computing assets of cloud-native applications or discover the cloud computing assets underlying a business function. The system accesses an inventory of cloud-computing assets of an organization to retrieve information about the cloud-computing assets and group the cloud-computing assets by similarity of selected asset attributes. The system then builds a graph(s) of the cloud-computing assets and relationships among the cloud-computing assets. Initially, the cloud-computing assets are related based on the grouping. The system expands upon the relationships among cloud-computing assets revealed by the grouping to relate to cloud-computing assets external to the groups, between groups, and with pseudo-assets (e.g., roles). This expansion can relate cloud-computing assets that were previously unrelated and/or add additional relationships between cloud-computing assets. The system processes the graph to extract one or more strongly connected components that satisfy a minimum relationship strength threshold.

INTELLIGENT ORDER RESPONSE

Resumen de: US20260311118A1

Systems, methods, and apparatuses disclosed herein may include an intelligent order response (IOR) system and method for optimizing supply chain order fulfillment. The IOR system automates demand-supply matching, applies graph-based problem simplification, and incorporates probabilistic risk-weighted analysis to improve order allocation and fulfillment efficiency. The IOR system receives demand data and supply data, processes constraints and objectives using a domain-specific language (DSL), and generates a structured optimization model. A graph-based transformation simplifies the fulfillment problem by partitioning it into independent subproblems, which are processed using a pluggable solver system. The IOR system dynamically selects solvers based on problem complexity, computational efficiency, and customer-defined priorities. A probabilistic solver adjusts fulfillment plans by accounting for external disruptions, supplier reliability, and demand fluctuations. Optimized fulfillment recommendations are presented to users through an interactive AI-driven interface, enabling real-time adaptability.

Verfahren zur Information von Fahrern von Nutzfahrzeugen zur Verfügbarkeit einer Ladestelle

Resumen de: DE102025112894A1

Die Erfindung betrifft ein Verfahren zur Information von Fahrern von Nutzfahrzeugen (1) zur Verfügbarkeit einer Ladestelle (5) zum Beladen und/oder Entladen, wobei vom Nutzfahrzeug (1) Informationen über das Nutzfahrzeug (1) und seine regelmäßigen Be- und Entladeaktivitäten sowie den Ort der Ladestelle (5) gesammelt werden um eine Routenplanung des Nutzfahrzeugs (1) so anzupassen, dass das Nutzfahrzeug (1) pünktlich an einer verfügbaren Ladestelle (5) ankommt, wobei diese Informationen aus mehreren Nutzfahrzeugen (1) und anderen Datenquellen in einem Backend (4) oder in einer Cloud (4) kombiniert werden, um Abhängigkeiten und Muster zu identifizieren, wobei ein Typ des Nutzfahrzeugs (1) und/oder Anhängers (3) oder Aufliegers (3), dessen Gewicht und verfügbarer Laderaum erfasst wird, wobei zur Erkennung der Verfügbarkeit einer Ladestelle (5) die gesammelten Daten über den Typ des Nutzfahrzeugs (1) und/oder Anhängers (3) oder Aufliegers (3), Änderungen des Gewichts, einen Ladevorgang und Positionsdaten des Nutzfahrzeugs (1) an ein Backend (4) oder eine Cloud gesendet werden, wo diese Daten verarbeitet und mit von anderen Nutzfahrzeugen (1) übermittelten Daten kombiniert werden, um den Ort der Ladestelle (5) und deren Verfügbarkeit zu identifizieren und diese Informationen an andere Nutzfahrzeuge (1) zu verteilen, wo sie für den Fahrer ausgegeben und/oder einem Navigationssystem (17) zur Verfügung gestellt werden.

SYSTEM FOR STOCKTAKING IN WAREHOUSES

Resumen de: WO2026209660A1

The invention relates to a system for stocktaking in warehouses, comprising at least one antenna (38) for detecting RFID transponder signals, which antenna is directed at a rack surface during the detection process, wherein a plurality of antennas (38) are connected together to form an antenna array (40) for beam-forming, wherein the antenna array (40) of at least one motor (36) proportionally describes a circular path, in order to detect the rack surface in portions in the plan view, and wherein at least one motor (36) is controlled in such a way that it first aligns the antenna array (40) horizontally or perpendicularly, then another motor (36) executes the proportional circular movement, as a result of which the rack surface is scanned in the vertical position by the directional beam of the antenna, followed by a rotation in the opposite direction. The invention further relates to a computer-implemented method for determining the position of a product or an RFID transponder within a rack, comprising the movement along a path, transmitting and receiving of RF signals with a first antenna orientation during movement along a proportionally circular path of the at least one antenna (38) (horizontally or vertically), transmitting and receiving of RF signals with a second antenna orientation during movement along a proportionally circular path of the at least one antenna (38) (horizontally or vertically) in the opposite direction, and the calculation of the transponder position

管理システム、管理方法

Resumen de: JP2026161834A

【課題】管理の煩雑さを低減しつつ配送伝票を用いて受取人に情報を提供する。【解決手段】提供主である荷主から依頼された荷物に付帯される配送伝票であって荷物を識別する荷物ＩＤを含む機械読み取りコードが印刷される配送伝票から、荷物が集荷されることに応じて荷物ＩＤを取得する第１取得部と、集荷情報とユーザのセグメントデータとのうち少なくともいずれか一方が、提供条件データの区分に該当するか否かを判定する区分判定部と、該当する区分がある場合に、当該該当する区分に対応する提供情報と、前記集荷された荷物が受取人に受け取られ端末装置によって配送伝票の機械読み取りコードが読み取られたことに応じて端末装置から送信される読み取り結果を取得する第２取得部と、登録部によって登録されたデータのうち、第２取得部によって取得された読み取り結果に応じた提供情報を端末装置に送信する第２送信部を有する。【選択図】図１

輸送支援装置及び輸送支援方法

Resumen de: JP2026162035A

【課題】本発明は、ブレードのような長尺物を実際に輸送する前に、輸送経路に沿った樹木の伐採を支援できる輸送支援装置及び輸送支援方法を提供する。【解決手段】輸送支援装置１０は、長尺物を輸送する輸送経路に沿った三次元経路データと、長尺物を輸送する車両と車両に積載された長尺物とを含む三次元データの車両モデルと、を取得する取得部２１と、三次元経路データにおける仮想輸送経路に沿って、車両モデルを移動させて三次元経路データに含まれる地物データが車両モデルに干渉する干渉範囲を算出する範囲算出部２４ａと、を備える。地物データは、樹木データを含む。範囲算出部２４ａは、干渉範囲５９ａ，５９ｂに含まれる樹木データに基づいて伐採する樹木５６の体積を算出する。【選択図】図１

RADIO DEVICE, READER DEVICE AND METHOD FOR OPERATING THEM

Resumen de: US20260312677A1

0000 A radio device for a wireless communication network includes a backscatter transmitter for transmitting a signal using a backscattered signal, and to at least one or more groups of a plurality of different device groups.

METHOD FOR DETECTING AN IN PARTICULAR POSITIONALLY VARIABLE RFID TAG

Resumen de: US20260310911A1

0000 Method for detecting a radio tag, in particular one that is variable in location, by means of detection devices positioned at different locations, wherein the method comprises the following method steps: 0000 automatically selecting a number of detection devices that is smaller than the total number of detection devices for receiving a tag radio signal emitted by the radio tag and/or a product identification derived from the tag radio signal, wherein as a first criterion for automatic selection it is applied that, in relation to an in particular automatically determined device position of a device located at least temporarily in the vicinity of the radio tag, at least one of the detection devices is positioned favorably with respect to at least one other detection device for receiving the tag radio signal and/or the product identification.

SYSTEMS, MEDIA, AND METHODS FOR AUTOMATED PLANOGRAM GENERATION

Resumen de: US20260311117A1

A method includes generating a plurality of candidate planograms based upon a plurality of current design rules and outputting a graphical representation of each of a subset comprising a plurality of the candidate planograms. The method also includes receiving categorization input to place each candidate planogram in the subset within one of a plurality of categories, and creating and outputting candidate rules based upon at least one of the categories. The method further includes receiving rule input specifying a plurality of candidate design rules to retain. The method additionally includes outputting an updated subset of the candidate planograms based upon the received design rule input, and outputting a graphical representation of at least one finalized planogram.

ARTIFICAL INTELLIGENCE ENABLED SMART INVENTORY MANAGEMENT, CHECK-OUT AND BILLING SYSTEM

Resumen de: US20260311127A1

0000 Artificial intelligence enabled smart inventory management, self-check-out and billing system (100) comprises user device (200) with an application stored therein. System through its various components provide users about availability of the standard & loose pack products, location of the product, price per unit & promotional schemes, if any, once user is in geofenced store. The system allows the user to know in advance the bill amount for the items selected by them through their user device, provides return of the product selected at a defined location of the store, allows identification, weighing and pricing for non-standard pack/loose items and while check-out it cross checks the weight and items labels with the items selected by user and provides the alert in case of mismatch and make correction and then finally make payment and allow possession of items selected by user. System provides checks and balances related to errors/pilferage.

SYSTEMS AND METHODS FOR PREDICTING PRODUCT SENSORY SHELF-LIFE PROGRESSION USING MACHINE-LEARNING

Resumen de: US20260311130A1

0000 Systems and methods for predicting sensory shelf life progression are provided. The method may include receiving data associated with a product. The data may include one or more sensory attributes of the product. The method may further include providing the one or more sensory attributes of the product to a predictive machine-learning model trained to identify associations between the one or more sensory attributes of the product and output a sensory shelf life progression for the product. The method may further include transmitting the sensory shelf life progression to a display of a user device.

METHOD OF GENERATING REGULATORY OUTPUTS

Resumen de: US20260310882A1

A method for generating a regulatory output for chemicals, including inputting one or more identifiers of one or more individual chemicals into an algorithm, inputting one or more concentrations of one or more individual chemicals into the algorithm, enriching properties of the one or more individual chemicals by obtaining properties of the one or more individual chemicals from at least one data source to generate enriched properties, evaluating the enriched properties of the one or more individual chemicals to generate representative properties of the one or more individual chemicals by applying predefined steps of the algorithm, and generating the regulatory output of the composite material based on the representative properties of the one or more individual chemicals.

LABEL MANAGEMENT SYSTEM, LABEL MANAGEMENT METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM

Resumen de: US20260311126A1

A label management system is a system that allows product management using a label, and comprises a code printing device, an information reading device, and a database. The label includes a print surface printed with a digital watermark that shows label information. The label information is information for individual identification of the label itself. The code printing device prints a code of product information on the print surface of the label. The product information is information for individual identification of a product to which the label is to be attached. The information reading device reads the label information and the product information from the digital watermark and the code respectively printed on the print surface of the label, for the label as a unit. The label information and the product information that are read by the information reading device are stored into the database in association with each other for the label as a unit.

INFORMATION PROCESSING SYSTEM

Resumen de: US20260311465A1

An information processing system includes a learning processing unit that generates a network of machine learning, and a detection processing unit that performs processing of detecting a predetermined area from image information using the network, the learning processing unit including an annotation data reception processing unit that receives an input of annotation data obtained by annotating a goods display area and/or a price tag area in the display shelf, and a learning processing unit that performs learning processing using the received annotation data and generates a network of machine learning, and the detection processing unit including an image information reception processing unit that receives an input of image information in which a display shelf to be processed is captured, and a recognition processing unit that recognizes the goods display area and/or the price tag area in the display shelf captured in the image information using the generated network.

METHOD OF REPAIRING A HEARING AID AND A HEARING AID REPAIR SYSTEM

Resumen de: US20260311139A1

A method (100) of repairing a hearing aid and a hearing aid repair system.

SYSTEMS AND METHODS FOR PERSONALIZING BUNDLES BASED ON PERSONAS

Resumen de: AU2026234046A1

- 54 - Computerized systems and methods are described for executing personalized bundling processes. Methods include receiving user inputs specifying preferences for product bundles and utilizing a Real-Time Data Mesh (RTDM) to retrieve relevant real-time data. An Advanced Analytics and Machine Learning (AAML) Module analyzes these inputs alongside market data to generate personalized bundle recommendations. Recommendations are then displayed to the user via a Single Pane of Glass User Interface (SPoG UI) and, upon user confirmation, transferred as orders to a vendor system. Validation steps use algorithms within the AAML Module to ensure accuracy and relevance of the bundles. Real-time reports on user engagement and bundle success rates are generated. The system, accessible on multiple devices, integrates machine learning models that continually refine the bundling process based on evolving data patterns and user feedback, enhancing personalization and efficiency. - 54 ep e p - -

TEMPERATURE-WEIGHTED UNIVERSAL NODE COORDINATION

Resumen de: AU2025238998A1

Disclosed is a system for interpolating ambient conditions across a facility, the system including: sensors to generate sensor data indicating ambient conditions in a facility and a computer system that can: receive the sensor data from the sensors, determine real-time temperature information for different locations of the facility based on processing the received sensor data, retrieve a machine learning model that was trained using historic facility data to interpolate ambient conditions across a facility using temperature information that corresponds to a portion of the facility, apply the model to the real-time temperature information for the different locations of the facility, determine, based on applying the machine learning model, real-time temperature information for the facility, and return the real-time temperature information for the facility.

PICKING SYSTEM

Resumen de: US20260307906A1

0000 A picking system includes a first automated warehouse configured to store products on a case-by-case basis, a transfer station to transfer stock products from cases into totes, a second automated warehouse connected to the transfer station, a third automated warehouse connected to each of the transfer station and the second automated warehouse, a picking station connected to the third automated warehouse, and a controller configured or programmed to manage movement of the products, cause a first product with a high picking frequency to be moved directly from the transfer station to the third automated warehouse and stored therein, cause a second product with a low picking frequency to be moved from the transfer station to the second automated warehouse and stored therein, and, based on an order, cause the second product to be moved from the second automated warehouse to the third automated warehouse.

ASSISTANCE USING PERIPHERAL DEVICES

Resumen de: US20260313316A1

0000 Disclosed are systems, apparatuses, processes, and computer-readable media for wireless communications. For example, a wireless communication device can receive, from a network entity, instructions to display a navigation image associated with a path for a user to follow to arrive at a destination associated with one or more items in an environment. The wireless communication device can display the navigation image based on the instructions and movement of the user.

NEXT DEVICE PREDICTION SYSTEM AND METHOD

Resumen de: WO2026213129A1

The techniques described herein relate to a method including: collecting, by a processor, network data from a household network, the network data including one or more of device inventory data, application usage data, and network usage patterns; generating, by the processor, a feature vector based on the network data; inputting, by the processor, the feature vector into a machine learning model trained to predict future device additions to the household network; receiving, by the processor, a prediction from the machine learning model, the prediction identifying a device ty pe predicted to be added to the household network; storing, by the processor, the prediction in a database; monitoring, by the processor, the household network to detect actual device additions; comparing, by the processor, the actual device additions with the prediction to determine a prediction accuracy value; and updating, by the processor, the machine learning model based on the prediction accuracy value.

計画生成装置

Resumen de: US20260300900A1

0000 A plan generation apparatus includes an acquisition unit for acquiring an assignment plan representing a plan to assign a plurality of packages to a plurality of transporters, and a plan generation unit for generating a change plan representing a plan for assigning a package assigned to a first transporter in the assignment plan to another transporter among the plurality of transporters.

作業支援装置および作業支援方法

Resumen de: WO2026203694A1

A work assistance device (5) comprises a processor that executes processing for providing a user with work improvement assistance information, wherein the processor: recognizes, on the basis of a video, one or more work units included in a work process; detects abnormal work in each of the work units; by executing dialog processing based on an abnormal work detection result, acquires improvement assistance information which pertains to each work unit in which the abnormal work has been detected and/or a work process which includes the work unit; and causes a display device to display the improvement assistance information.

検出プログラムおよび情報処理装置

Resumen de: US20260300907A1

A non-transitory computer-readable recording medium has stored therein a detection program that causes a computer to execute a process including acquiring an image of a product shelf captured by a camera and a depth image of the product shelf, executing a first process, a second process, a third process and a fourth process and detecting whether the product in the product region is out of stock, based on the determination index of the first process, the determination index of the second process, the determination index of the third process, and the determination index of the fourth process.

SYSTEM AND METHOD FOR DISPENSER MANAGEMENT

Nº publicación: US20260310245A1 08/10/2026

Solicitante:

GOJO IND INC [US]
GOJO Industries, Inc.

Resumen de: US20260310245A1

0000 One or more computing devices, systems, and/or methods are provided. For example, a controller of a dispenser may determine usage data of the dispenser. In association with a replenishment event in which a second refill component mounted to the dispenser is replaced by a first refill component, the controller may (i) determine a next replenishment time of the dispenser based upon the usage data, and/or (ii) transmit an indication of the next replenishment time to a first tag of the first refill component.