Basck Limited

A fibre applicator (10) for applying a pre-impregnated composite fibre (3) to a concave surface on a mold (5).

A method for rinsing a wheel, the method comprising: retrieving (410) used fluids through a fluid retrieval arrangement (110), performing a preliminary rinse (420) by spraying the retrieved fluids, and subsequently performing a main rinse (430) using clean fluids.

A method for monitoring inventory items in a storage facility, the method comprising receiving image data from at least one camera device installed in the storage facility, detecting and demarcating a plurality of shelf boundaries of a plurality of shelves based on the image data, determining shelf fill levels in a real-time or near real-time within each demarcated shelf boundary of the plurality of shelf boundaries on the image data, and controlling display of the image data along with the determined shelf fill levels specific for each shelf in the image data. Moreover, the display is updated periodically or continuously to indicate a physical change of inventory items in each shelf based on the determined shelf fill levels in the real-time or near real-time.

Disclosed is display frame assembly (100, 300, 600, 700, 800, 900, 1100, 1200, 1300, 1400, 1500, 1600, 1700, 2100, 2102, 2104), comprising a plurality of extrusion members wherein each extrusion member is attached to a neighboring extrusion member to form a display frame. The first extrusion member is adapted to hold a Silicon Edge Graphic (SEG) display fabric (906, 2124) and a slatwall bracket (1004, 1104, 1308, 1604, 1810, 1814, 1906, 2006, 2008, 2110, 2118, 2130). The first extrusion member comprises a first profile (202, 1902) adapted to accommodate and retain a silicon edge of the corresponding SEG display fabric to hold the corresponding SEG display fabric, The second profile (204, 1000, 1206, 1306, 1710, 1804, 1812, 1904, 2010, 2012, 2108, 2116, 2128) adapted to accommodate and clamp onto a cooperating member of a slatwall bracket to display a plurality of products (1606).

Disclosed is a system (100) for inducing taxonomy (504) based on a data sample (202, 404, 604) and an inference classification of raw data (506A) using the induced taxonomy (IT). The system comprises processing arrangement (PA) (106) using set of modules selected from: a segmentation module configured to segment data sample into ontological segments (204); a clustering module configured to cluster ontological segments into ontological clusters (206); a subtree generation module configured to large language model to generate subtree (208, 302) for each ontological cluster; and a taxonomy construction module configured to induce taxonomy comprising root node (210A, 302A, 304A, 702) and combination of subtrees. Moreover, the PA comprises a classification module configured to map IT to set of label configuration objects (504A, 602A-D); and classify raw data using a set of label configuration objects derived from mapped IT. Disclosed also is computer-implemented method for inducing taxonomy based on data sample and inference classification of raw data using IT.

There is provided a distributed computer control system and a method of operation thereof. The distributed computer control system includes a plurality of worker nodes. The collective learning of the worker nodes occurs within the distributed computer control system. The operation of distributed computer control system is coordinated by employing a distributed ledger arrangement. The distributed computer control system comprises a monitoring arrangement to provide learning parameters to the worker nodes by way of executing a smart contract. Each of the worker nodes is operable to train a computing model based on the learning parameters and a set of training data. The monitoring arrangement provides a reward to at least one of the worker nodes for training the computing model. The reward is determined based on a number and frequency of intermediary computing models provided by a given worker node to a remainder of the worker nodes, and a quality of the intermediary computing models.

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Zusammenfassung wird geladen …

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