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    Researchers Submit Patent Application, “Markdown Optimizer To Reduce Loss Of Per ishable Items”, for Approval (USPTO 20240144037)

    150-152页
    查看更多>>摘要:News editors obtained the following quote from the background information suppli ed by the inventors: “One of the largest causes for shrink in retail is spoilage , i.e., perishable items that have exceeded their expiration dates. Retailers ap ply price markdowns as a primary technique to move at-risk inventory before spoi lage occurs. Current solutions in the industry focus on the operational aspect o f markdowns referred to as “reduce to clear,” rather than the decision-making as pect of inventory optimization. For example, retailers depend on store walk-thro ughs to manually identify inventory at risk.

    Patent Issued for Monitoring progress of object construction (USPTO 11972536)

    153-155页
    查看更多>>摘要:Reporters obtained the following quote from the background information supplied by the inventors: “Before construction of a building is initiated, it may be des igned in 3D using BIM modelling tools such as Autodesk Revit, Trimble Tekla, or Graphisoft ArchiCAD. A 3D design consists typically of several individual files/ models for multiple disciplines such as architect, structural engineering, mecha nical, electrical, plumbing, etc., each managing different mechanical or functio nal sub-parts of the building, such as electrical wiring, plumbing, ventilation etc. Lots of other levels of details can also be part of the design process, suc h as safety, foundation, landscaping etc. Combining all these sub-models into a single model is referred to as the federated model. Here, a sub-model is referre d to as a BIM model and the combined federated model is referred to as the actua l BIM building.

    “System And Method For Navigating In 3d From Any Cell To Any Cell With A Single Material Handling Robot” in Patent Application Approval Process (USPTO 202401407 14)

    156-158页
    查看更多>>摘要:The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “An automated storage and retrieval system (AS/R S) is a material storage system designed for automated storage and retrieval of goods or items in manufacturing, distribution, retail, and wholesale facilities. AS/RS system generally includes one or more automated storage and retrieval mac hines (such as guided vehicles, shuttles, robots, conveyors, elevators, and/or l ifts) operating under computerized control that directs the machine to a locatio n where goods or items loaded on a pallet or tray are to be stored and/or retrie ved later. For example, to store an item(s), a pallet or tray loaded with the it em may be placed at an input station for the storage and retrieval system, and t he information for the item is then entered into a computer terminal to determin e a suitable location for storing the item. The automated storage and retrieval machine then automatically moves the pallet or tray to the determined location a nd stores the load (with or without the pallet or tray). Retrieval of the item c an be accomplished later by specifying the location, where a same or different a utomated storage and retrieval machine may automatically navigate to the locatio n and move the load away from the stored location.

    Patent Application Titled “Monitoring A Mechanical Connection” Published Online (USPTO 20240142413)

    159-162页
    查看更多>>摘要:Reporters obtained the following quote from the background information supplied by the inventors: “Aircraft components may be secured to each other, for example by using fasteners. In some situations, these fasteners are in difficult to acc ess areas, which may make inspection difficult and time consuming.” In addition to obtaining background information on this patent application, News Rx editors also obtained the inventor’s summary information for this patent appl ication: “According to a first aspect of the present invention, there is provide d a method of monitoring a mechanical connection between a first aircraft compon ent and a second aircraft component, the method comprising: securing, using a se curing device, the first aircraft component to the second aircraft component; ob taining information indicative of an acoustic signal emitted during the securing the first aircraft component to the second aircraft component; and inputting th e information indicative of the acoustic signal into a machine learning model, w herein the machine learning model is configured to provide an output indicative of a fault condition of the mechanical connection.

    Patent Issued for Systems and methods for tracking and scoring cleaning (USPTO 1 1972383)

    162-165页
    查看更多>>摘要:Reporters obtained the following quote from the background information supplied by the inventors: “Robots and/or machines may be used to perform tasks, provide services, and navigate environments autonomously or semi-autonomously. Some robo ts or machines may be used to execute cleaning tasks in an environment in which the robot or machine is positioned or capable of navigating to or through with o r without input or command by a human operator.”

    Patent Application Titled “Process Estimation Device And Process Estimation Meth od” Published Online (USPTO 20240142953)

    165-167页
    查看更多>>摘要:Reporters obtained the following quote from the background information supplied by the inventors: “In recent years, so-called “Materials Informatics”, which use s information science such as data mining to search for new and alternative mate rials efficiently, has attracted attention. In Japan, material development throu gh so-called “Materials Integration” is also being studied. “Materials Integrati on” is defined as a comprehensive materials technology tool that aims to support materials research and development by integrating scientific technologies such as theory, experiment, analysis, simulation, and database, into materials scienc e achievements.

    Researchers Submit Patent Application, “Systems And Methods For Unloading A Stru cture”, for Approval (USPTO 20240141660)

    167-171页
    查看更多>>摘要:News editors obtained the following quote from the background information suppli ed by the inventors: “Modular housing has become more and more popular as a cost -effective and efficient method of constructing homes. Many construction compani es are reverting to modular housing because the prefabricated modules of the ho uses can be assembled off-site in a repeatable and controlled manner such that e ach house does not have to have a bespoke design that varies between houses, eve n between those that have the same specifications. Further, because construction companies can manufacture the pre-fabricated modules off-site in a controlled e nvironment, the companies may incur fewer construction flaws in the modules, thu s providing cost savings for homeowners down the road as the construction flaws may need to be resolved or cause other issues that need to be resolved.

    Patent Application Titled “Muscle, Skin or Brain Based Authentication and Identi fication” Published Online (USPTO 20240144721)

    171-174页
    查看更多>>摘要:Reporters obtained the following quote from the background information supplied by the inventors: “Currently, portable device authentication or identification ( for example as used for cell phones or laptops) may be based upon recognition ve ctors generated by user actuated devices such as fingerprint sensors, facial ide ntification (ID), eye scans or other biometric sensing devices. These types of d evices generally require conscious interaction by the user to place their finger on a sensor, situate their face in front of the sensor, or provide a scan of th eir eye to use the authentication means.

    Patent Issued for Debris fin for robotic cleaner dust cup (USPTO 11969126)

    175-177页
    查看更多>>摘要:News editors obtained the following quote from the background information suppli ed by the inventors: “BACKGROUND INFORMATION “Autonomous surface treatment apparatuses are configured to traverse a surface ( e.g., a floor) while removing debris from the surface with little to no human in volvement. For example, a robotic vacuum may include a controller, a plurality o f driven wheels, a suction motor, a brush roll, and a dust cup for storing debri s. The controller causes the robotic vacuum cleaner to travel according to one o r more patterns (e.g., a random bounce pattern, a spot pattern, a wall/obstacle following pattern, and/or the like). While traveling pursuant to one or more pat terns, the robotic vacuum cleaner collects debris in the dust cup. As the dust c up gathers debris, the performance of the robotic vacuum cleaner may be degraded . As such, the dust cup may need to be emptied at regular intervals to maintain consistent cleaning performance.”

    Researchers Submit Patent Application, “Control Of Hyperparameter Tuning Based On Machine Learning”, for Approval (USPTO 20240144102)

    177-180页
    查看更多>>摘要:News editors obtained the following quote from the background information suppli ed by the inventors: “It has become commonplace to use AI models to perform any of a wide variety of functions. However, while some aspects of preparing an AI m odel to perform a function have become relatively well defined and understood, o ther aspects may require time consuming experimentation. For example, while ther e may be considerable information available concerning the most effective type o f AI model to use for performing some functions (e.g., visual recognition), ther e may be a relative lack of such information available for other functions such that the determination of which type of AI model to use may require some degree of trial and error experimentation. Additionally, even where the type of AI mode l that is deemed to be best for use in performing a particular function may be w ell known, there may be a relative lack of information available concerning tuni ng various configuration aspects of an implementation of that AI model to perfor m that function. Such configuration aspects are often referred to as “hyperparam eters” to distinguish them from the parameters that are learned by training. It may be that deriving the hyperparameters may also require some degree of time co nsuming trial and error experimentation.”