Abstract: A housing device (20) includes a housing portion (22), a light source (200), and an optical sensor (300). The housing portion (22) includes a holding body (100). An article is housed in the housing portion (22). The holding body (100) extends in one direction. The light source (200) is attached to the holding body (100) along the one direction. The light source (200) applies light toward at least a part of a space (S) located on a side of the holding body (100) with respect to the one direction of the holding body (100), a front of the space (S), and a back of the space (S). The optical sensor (300) is attached to the holding body (100). At least a part of a visual field of the optical sensor (300) faces in at least a part of the space (S), the front of the space (S), and the back of the space (S).

Abstract: An object recognition device (10) includes a holding body (100), a light source (200), and an optical sensor (300). The holding body (100) extends in one direction. The light source (200) is attached to the holding body (100) along the one direction. The light source (200) applies light toward at least a part of a space (S) located on a side of the holding body (100) with respect to the one direction of the holding body (100), a front of the space (S), and a back of the space (S). The optical sensor (300) is attached to the holding body (100). At least a part of a visual field of the optical sensor (300) faces in at least a part of the space (S), the front of the space (S), and the back of the space (S).

Abstract: An image acquisition unit (11) acquires a recognition processing image. A recognition unit (12) recognizes a product in the recognition processing image based on an estimation model. A registration unit (13) registers a result of the recognition in recognized product information. An output unit (14) outputs a result of the recognition. A correction reception unit (16) receives an input for correcting a result of the recognition. A correction unit (17) changes a result of the recognition to a result of the recognition after a correction, and also stores correction information in which a result of the recognition after a correction and the recognition processing image are associated with each other. A learning unit (18) performs relearning by using the recognition processing image stored as the correction information and updates the estimation model, when a number of the recognition processing image stored exceeds a predetermined value.

Abstract: In order to increase road noise transmission loss, a double-wall panel includes a core material. The core material is enclosed between an outer wall and an inner wall facing each other, and has at least a predetermined thickness across the panel in all in-plane directions of the walls. The core material has a specific surface area of 20,000 (mm2/cm3) or more, where the specific surface area is defined as a surface area per unit volume.

Abstract: In order to increase road noise transmission loss, a double-wall panel includes a core material. The core material is enclosed between an outer wall and an inner wall facing each other, and has at least a predetermined thickness across the panel in all in-plane directions of the walls. The core material has a specific surface area of 20,000 (mm2/cm3) or more, where the specific surface area is defined as a surface area per unit volume.

Abstract: An information processing system is provided to alleviate excessive load on a master node, thereby allowing the master node to efficiently perform the process of assigning jobs to nodes. A client 10 classifies a plurality of jobs constituting a large-scale arithmetic operation into several blocks, and requests a master node 20 to process the jobs block by block, such that the master node 20 always performs the process of assigning a predetermined number of jobs or less. Here, the predetermined number is preferably determined in such a manner as to allow the master node 20 to efficiently perform the process of assigning the jobs to nodes, even if the number of nodes is significant. As such, the client 10 has the function of controlling the load on the master node 20, and therefore it is possible to prevent the load on the master node 20 from increasing.

Abstract: An information processing system is provided to alleviate excessive load on a master node, thereby allowing the master node to efficiently perform the process of assigning jobs to nodes. A client 10 classifies a plurality of jobs constituting a large-scale arithmetic operation into several blocks, and requests a master node 20 to process the jobs block by block, such that the master node 20 always performs the process of assigning a predetermined number of jobs or less. Here, the predetermined number is preferably determined in such a manner as to allow the master node 20 to efficiently perform the process of assigning the jobs to nodes, even if the number of nodes is significant. As such, the client 10 has the function of controlling the load on the master node 20, and therefore it is possible to prevent the load on the master node 20 from increasing.

Abstract: An operation apparatus for a vehicle automatic transmission mechanism includes an actuator for driving a hydraulic valve for switching a travel range of an automatic transmission mechanism, a control unit for controlling the actuator, and a transmission operation unit for outputting a range switching instruction to the control unit. In the preferred embodiment, the transmission operation unit includes a stroke contact type operation switch suitably mounted on a side surface of a steering column so that at least forward vehicle travel ranges can be switched by only a stretched finger of the hand of a vehicle driver who continues to maintain his grip on the steering wheel with the same hand. The operation switch can include either a rotary switch or slide switch mounted on the steering column.