A first chamber is configured to generate smoke from combustion of a combustible material within the first chamber. A second chamber is configured to house an electronic device. The first chamber and the second chamber are fluidly connected. The apparatus further includes an air pump configured to move the smoke generated in the first chamber into the second chamber. While the air pump is in operation, the electronic device in the second chamber is exposed to the smoke generated in the first chamber. The second chamber is further configured with an exhaust such that the smoke generated in the first chamber moves through the second chamber and out of the second chamber via the exhaust.
A test apparatus includes a test chamber or open area test site configured to receive a device under test and a test fixture located in the test chamber. The test fixture includes at least one fixture antenna. The test apparatus further includes a positioner located within the test chamber. The positioner is configured to support the device under test and rotate the device under test at least 180 degrees about a vertical axis of the test chamber.
An example method includes receiving training data for training of a machine learning model. The training data includes a plurality of pairs of datasets. Each of the pairs of datasets includes a reference dataset and a sample dataset. The reference dataset is indicative of first results of a first plastic sample analysis and the sample dataset is indicative of second results of a second plastic sample analysis. Each of the pairs of datasets further includes an indication, for each of the pairs of datasets, that features of the sample dataset and the reference dataset are a match. The method further includes training a machine learning model based on the training data to determine matches between datasets. The method further includes receiving a new sample dataset. The method further includes determining, using the trained machine learning model, that the new sample dataset matches another dataset.
Systems and methods for dynamically generating object models corresponding to regulations. According to certain aspects, a server computer may access a regulation and automatically generate a summary of the regulation based on a specific set of sentences. The server computer may additionally determine a set of topics and named-entity attributes for text within a regulation object model, as well as a probability that a topic or attribute is applicable to the regulation. Further, the server computer may generate and enrich object models according to the various analyses and avail the enriched object models for review by entities and users of regulatory compliance services.
Systems and methods for using machine learning to dynamically assess performance of products and suppliers in the marketplace are disclosed. According to certain aspects, an electronic device may train a plurality of intermediate machine learning models and an aggregate machine learning model using various marketplace data associated with products and suppliers. The electronic device may analyze information associated with a given product or a given supplier using the trained machine learning models to predict a performance of the product or supplier, as well as determine various recommendations associated with the design, testing, inspection, and/or distribution of products.
Systems and methods for dynamically determining potentially applicability of product regulation updates and regulatory requirement rules and representations to product profiles, as well as map product taxonomies. According to certain aspects, an electronic device may access new or updated product regulation updates for various jurisdictions as well as product profiles associated with certain products. The electronic device may employ various data analysis technologies to determine which product regulation updates are potentially applicable to which product profiles. The electronic device may present information associated with the data analyses, and enable users to review information, further assess applicability, make selections, and interface and integrate with external systems to exchange information and insights.
Systems and methods for detecting roadway and/or pathway lighting conditions are disclosed. According to certain aspects, various devices or sensors may collect a set of lighting measurements respectively at a set of locations along a roadway and/or pathway, and capture scanning data indicative of a set of surroundings located along the roadway and/or pathway. Further, an electronic device may analyze the scanning data to classify a set of light poles along the roadway and/or pathway as well as associate the set of lighting measurements with the set of locations. Moreover, the electronic device may generate an electronic file indicating the set of lighting measurements associated with the set of locations and the set of light poles classified at the portion of the set of locations.
G06F 30/12 - CAO géométrique caractérisée par des moyens d’entrée spécialement adaptés à la CAO, p.ex. interfaces utilisateur graphiques [UIG] spécialement adaptées à la CAO
G06Q 50/26 - Services gouvernementaux ou services publics
8.
USING MACHINE LEARNING TO VIRTUALIZE PRODUCT TESTS
Systems and methods for using machine learning models to predict an outcome of a product test are described. According to certain aspects, an electronic device may generate a machine learning model using training data indicating a set of results of a set of products tested according to a specific product test. The electronic device may access a set of inputs comprising a set of additional results of at least one additional product tested according to a modified product test, and input the set of inputs into the machine learning model. Based on an output of the machine learning model, the electronic device may predict whether the at least one additional product would pass or comply with the original specific product test.
Systems and methods for collecting and analyzing lighting conditions associated with a physical space in order to effect circadian-effective design. According to certain aspects, a data capture machine may include various sensors and components, such as at least one image sensor that captures digital images of a set of luminaires, at least one laser that detects physical objects as well as the location of the data capture machine in the physical space, a detector that collects a set of spectral power distribution (SPD) measurements, and a video capture device that collects images at a set of locations of the physical space. The data capture machine may aggregate the captured information and generate an electronic file that a computing device may use to present a visual representation of the lighting conditions of the physical space. This representation may then enable a lighting designer to evaluate the non-visual impact of illumination, and offer tools to improve the design.
G06F 30/13 - Conception architecturale, p.ex. conception architecturale assistée par ordinateur [CAAO] relative à la conception de bâtiments, de ponts, de paysages, d’usines ou de routes
H05B 47/11 - Commande de la source lumineuse en réponse à des paramètres détectés en détectant la luminosité ou la température de couleur de la lumière ambiante
H05B 47/125 - Commande de la source lumineuse en réponse à des paramètres détectés en détectant la présence ou le mouvement d'objets ou d'êtres vivants en utilisant des caméras
10.
Methods for dynamically assessing applicability of product regulation updates to product profiles
Systems and methods for dynamically determining potentially applicability of product regulation updates to product profiles. According to certain aspects, an electronic device may access new or updated product regulation updates for various jurisdictions as well as product profiles associated with certain products. The electronic device may employ various data analysis technologies to determine which product regulation updates are potentially applicable to which product profiles. The electronic device may present information associated with the data analyses, and enable users to review information, further assess applicability, make selections, and interface and integrate with external systems to exchange information and insights.
Systems and methods for using machine learning to assess eligibility for product certification are disclosed. According to certain aspects, a server computer may train a set of machine learning models using a set of training data, where the set of machine learning models may be specific to products and certifications for the products. The server computer may access product specifications associated with a set of products sought to be certified, and may analyze the product specifications using the an appropriate machine learning model(s), the output of which may indicate whether the set of products is eligible for certification, the set of products is ineligible for certification, or the product specifications need further review.
Systems and methods for dynamically generating object models corresponding to regulations. According to certain aspects, a server computer may access a regulation and automatically generate a summary of the regulation based on a specific set of sentences. The server computer may additionally determine a set of topics and named-entity attributes for text within a regulation object model, as well as a probability that a topic or attribute is applicable to the regulation. Further, the server computer may generate and enrich object models according to the various analyses and avail the enriched object models for review by entities and users of regulatory compliance services.
Systems and methods for dynamically determining potentially applicability of product regulations to product protocols. According to certain aspects, an electronic device may access new or updated product regulations for various jurisdictions as well as product protocols associated with certain products. The electronic device may employ various data analyses technologies to determine which product regulations are potentially applicable to which product protocols. The electronic device may present information associated with the data analyses, and enable users to review information, further assess applicability, and make selections.
Systems and methods for classifying product feedback by an electronic device are described. According to certain aspects, an electronic device may receive consumer feedback entries associated with various products, where each entry may include an initial classification. The electronic device may analyze each entry using a machine learning model to determine a subsequent classification for the entry. When there is a mismatch between classifications, the electronic device may present information associated with the entry for review by a user, where the user may specify a final classification for the entry, and the electronic device may update the machine learning model for use in subsequent analyses.
G06F 3/048 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI]
G06F 3/0482 - Interaction avec des listes d’éléments sélectionnables, p.ex. des menus
G06F 18/21 - Conception ou mise en place de systèmes ou de techniques; Extraction de caractéristiques dans l'espace des caractéristiques; Séparation aveugle de sources
G06F 18/214 - Génération de motifs d'entraînement; Procédés de Bootstrapping, p.ex. ”bagging” ou ”boosting”
Systems and methods for maintaining indoor air quality are disclosed. According to embodiments, air quality data measurements and associated dates/times may be received from smart sensors associated with an indoor space. Based on the air quality data detected by the smart sensors, a predictive air quality model for the indoor space may be generated, e.g., by plotting a time series for the air quality data and deriving a linear progression based on the plotted time series. A future time when the air quality for the indoor space will reach a threshold air quality level, above which an allergic or asthmatic reaction may occur in a user, may be predicted using the predictive air quality model. An indication may be displayed notifying a user that an air filter associated with the indoor space should be replaced at or before the predicted future time to prevent an allergic or asthmatic reaction.
F24F 11/39 - Surveillance de la performance des filtres
F24F 11/37 - Aménagements de commande ou de sécurité en relation avec le fonctionnement du système, p.ex. pour la sécurité ou la surveillance réagissant aux dysfonctionnements ou aux situations critiques pour la remise en route, p.ex. après une coupure de courant; Démarrage d'urgence
A high speed controllable load uses a voltage waveform synthesizer and a driver circuit to dynamically control an electronically variable load to generate a current though an arc fault circuit interrupter (AFCI) device under test. Sensors may be used to monitor a source voltage and the output current to generate an arbitrary waveform have a range of voltage and current phase shifts. An optical isolation circuit allows separation of grounds between a control stage and the AFCI device under test.
G01R 31/02 - Essai des appareils, des lignes ou des composants électriques pour y déceler la présence de courts-circuits, de discontinuités, de fuites ou de connexions incorrectes de lignes
G01R 31/327 - Tests d'interrupteurs de circuit, d'interrupteurs ou de disjoncteurs
17.
Method and apparatus to test an automatic stop safety feature of a rotary saw
A test apparatus for testing of a stop mechanism on a saw includes a support arm movable relative to a blade of the saw from a first position to a second position. The test apparatus also includes a simulation member coupled to the support arm. In the first position, the first end of the simulation member is offset from a portion of the blade of the saw, and in the second position, the first end of the simulation member is adapted to be in contact with the portion of the blade of the saw. The test apparatus further includes circuitry operatively connected to the simulation member to replicate an electrical property of a human finger such that contact between the blade and the first end of the simulation member triggers the stop mechanism of the saw.
B27G 19/02 - Protecteurs ou dispositifs de sécurité adaptés aux scies à bois; Dispositifs auxiliaires facilitant une bonne utilisation des scies à bois pour scies circulaires
B23Q 11/06 - Dispositifs de sécurité pour les outils de coupe circulaires
G01M 99/00 - Matière non prévue dans les autres groupes de la présente sous-classe
B23D 59/00 - Dispositifs annexes spécialement conçus pour les machines à scier ou les dispositifs de sciage
A camera testing apparatus includes a frame assembly, a control unit, and a plurality of first light sources and second light sources coupled to the frame assembly and in communication with the control unit. Each of the first and second light sources is in one of an illuminated first state or a non-illuminated second state, and each of the plurality of first and second light sources is adapted to be within a field of vision of a camera disposed remote from the first and second light sources. The control unit sends a first command to each of the first light sources to change a first operational parameter. The control unit sends a second command to a first one of the second light sources to illuminate at a first brightness and a third command to a second one of the second light sources to illuminate at a second brightness.
A heat-generating apparatus includes a frame assembly and a securement assembly carried by the frame assembly. The securement assembly includes a panel member arranged in a first vertical plane for supporting a target material parallel to the first vertical plane. The heat-generating apparatus also includes a heating support assembly adjustably supported by the frame and including at least one heating element arranged in a second vertical plane that is parallel to and offset from the first vertical plane. The heating support assembly is adjustable along a horizontal first adjustment axis that is perpendicular to each of the first and second vertical planes and along a second adjustment axis that is disposed in or adjacent to the second vertical plane.
G08B 29/14 - Vérification des circuits de détection
G01N 33/00 - Recherche ou analyse des matériaux par des méthodes spécifiques non couvertes par les groupes
F26B 3/30 - Procédés de séchage d'un matériau solide ou d'objets impliquant l'utilisation de chaleur par radiation, p.ex. du soleil à l'aide d'éléments émettant des rayons infrarouges
F24H 3/04 - Appareils de chauffage d'air à circulation forcée l'air étant en contact direct avec l'agent chauffant, p.ex. élément chauffant électrique
A high speed controllable load uses a voltage waveform synthesizer and a driver circuit to dynamically control an electronically variable load to generate a current though an arc fault circuit interrupter (AFCI) device under test. Sensors may be used to monitor a source voltage and the output current to generate an arbitrary waveform have a range of voltage and current phase shifts. An optical isolation circuit allows separation of grounds between a control stage and the AFCI device under test.
G01R 31/00 - Dispositions pour tester les propriétés électriques; Dispositions pour la localisation des pannes électriques; Dispositions pour tests électriques caractérisées par ce qui est testé, non prévues ailleurs
G01R 31/327 - Tests d'interrupteurs de circuit, d'interrupteurs ou de disjoncteurs
This invention is related to a light measuring apparatus and a method of using the device. It is used to measure various photometric quantities of the light emanating from a distant source of light.
G02B 7/32 - Systèmes pour la génération automatique de signaux de mise au point utilisant un triangle parallactique avec une ligne de base utilisant des moyens actifs, p.ex. un émetteur de lumière
G01C 3/08 - Utilisation de détecteurs électriques de radiations
22.
Device and method for applying a force to a planar surface
A device for applying a force to a planar surface includes a tub, a cavity, a membrane, and an opening. The tub includes a bottom wall, at least one sidewall, and a cavity defined between the bottom and sidewalls. The membrane is disposed within the cavity and a perimeter edge of the membrane is fixed to the tub. The opening is formed in the tub and adapted to receive a pressurized fluid to fill a portion of the cavity below the membrane to displace at least a portion of the membrane away from the bottom wall to apply a force to the planar surface.
A light meter for measuring photometric quantities includes a telephotometer having a photo detector to receive light energy entering the telephotometer. A light metering valve, for the purpose of providing a variable field of view, is located in the body of the telephotometer generally at the focal plane of the objective lens of the telephotometer. A controller, which includes a digital processor in communication with the photo detector will process information from the photo detector and from a range finder included in the system to output light intensity of a target light source.
The invention relates to a method and a device for testing the fire hazard of a material. According to one embodiment of the method, a plane region of the surface of a specimen made of the material is brought in contact for at most a predetermined contact time with a glow wire, which has been heated to a predetermined temperature. Image data of the specimen are furthermore acquired by at least a first camera at least while the specimen is in contact with the glow wire. Image processing of the acquired image data of the specimen is furthermore carried out, preferably in realtime, ignition of the specimen by the glow wire being detected if applicable. A first duration is then determined, which corresponds to the length of time between the application of the tip of the glow wire on the specimen and the ignition of the specimen. Furthermore, according to one embodiment of the invention, a second duration may if applicable be determined by means of the image processing of the acquired image data of the specimen, the second duration corresponding to the length of time between the application of the tip of the glow wire on the specimen and the end of the ignition of the specimen. The method and the device are suitable in particular for carrying out tests to assess the fire hazard of materials according to the standards EN 60695-2-10, -12 and -13.
G01N 25/50 - Recherche ou analyse des matériaux par l'utilisation de moyens thermiques en recherchant l'aptitude à l'explosion
G01N 25/22 - Recherche ou analyse des matériaux par l'utilisation de moyens thermiques en recherchant la production de quantités de chaleur, c. à d. la calorimétrie, p.ex. en mesurant la chaleur spécifique, en mesurant la conductivité thermique sur l'oxydation par combustion ou par catalyse, p.ex. des constituants des mélanges gazeux
G01K 1/12 - Dispositifs de protection, p.ex. étuis pour prévenir les dommages dus aux surcharges thermiques
A62C 2/00 - Prévention ou limitation de l'extension des incendies
G08B 17/00 - Alarmes d'incendie; Alarmes réagissant à une explosion
25.
Method and apparatus for carrying out a burning test on a test piece
The image data capture of a test piece is performed with at least one first camera. A reference point of the test piece is determined by processing the image data recorded with the at least one first camera. A burner is positioned at a prescribed first distance from the reference point for the flame exposure of the test piece. At least one second camera may also detect whether the test piece exposed to a flame is burning or incandescing. At least one third camera may be used for monitoring the burner flame and at least one fourth camera may be used for determining whether the test piece drips while burning. Furthermore, at least one detector may used for detecting whether the drips ignite a pad of wadding positioned under the test piece.
G01N 21/25 - Couleur; Propriétés spectrales, c. à d. comparaison de l'effet du matériau sur la lumière pour plusieurs longueurs d'ondes ou plusieurs bandes de longueurs d'ondes différentes
brevets
