Abstract: An image forming apparatus includes a rotary including a first developing roller, a second developing roller, a first storage frame, and a second storage frame, a body frame with an opening, a first toner cartridge, a second toner cartridge, a first support member which is configured to support the first toner cartridge, and a second support member which is configured to support the second toner cartridge. The first support member is movable with respect to the first storage frame such that the first toner cartridge moves from the first attached position to the first retracted position. The second support member is movable with respect to the second storage frame such that the second toner cartridge moves from the second attached position to the second retracted position.

Abstract: An optical deflector capable of making a swing angle of a reflective plate larger is provided. In drive elements, since a size in the Y direction at first positions separated by a first distance from the reflective plate is larger than a size in the Y direction at second positions separated by a second distance from the reflective plate, the second distance being greater than the first distance, it is possible to increase displacement of tips of beam portions at the first positions and to make a swing angle of the reflective plate large by increasing a generated force of the entire beam portions.

Abstract: Individual distributed processing nodes packetize distributed data for each weight of a neural network of a learning object in an order of a number of the weight, transmit the distributed data to an aggregation processing node, acquire aggregation data transmitted from the node in order, and update the weight of the neural network. The node acquires the transmitted distributed data, packetizes the aggregation data for which the distributed data of all the distributed processing nodes is aggregated for each weight, and transmits the aggregation data to the individual nodes. The individual nodes monitor an unreceived data amount which is a difference between data amounts of the transmitted distributed data and the acquired aggregation data, and when the unreceived data amount becomes equal to or larger than a threshold Ma, stops transmission of the distributed data until the unreceived data amount becomes equal to or smaller than a threshold Mb (Mb<Ma).

Abstract: A slot antenna includes: power-supply points; and a slot, wherein in the slot antenna, the power-supply points are arranged while interposing the slot therebetween in a shorter direction of the slot, the slot being an opening that is provided in a metal sheet constituting an outer panel of a vehicle, and a width along the shorter direction of the slot is larger in each of both end parts of the slot than in an intermediate part of the slot in a longitudinal direction of the slot.

Abstract: A resin composition includes (A) a polyolefin epoxy resin, (B) an epoxy resin having a condensed polycyclic aromatic hydrocarbon, (C) a nitrogen-containing novolak resin, and (D) an inorganic filler, in which an epoxy equivalent of the (A) component is 200 g/eq. or more, a nitrogen content in the (C) component is 13% by mass or more and/or the (C) component has a cresol novolak structure, and a content of the (D) component is 60% by mass or more on the basis of 100% by mass of non-volatile components in the resin composition.

Abstract: A distributed processing system to which a plurality of distributed nodes are connected, each of the distributed nodes including a plurality of arithmetic devices and an interconnect device, wherein, in the interconnect device and/or the arithmetic devices of one of the distributed nodes, memory areas are assigned to each job to be processed by the distributed processing system, and direct memory access between memories for processing the job is executed at least between interconnect devices, between arithmetic devices or between an interconnect device and an arithmetic device.

Abstract: Provided is a distributed deep learning system including a plurality of distributed processing nodes, in which each of the plurality of distributed processing nodes includes a header reading unit configured to read pieces of layer information of headers of a first data frame that has arrived at an own node and a second data frame that has arrived next, and in which the pieces of layer information are compared with each other, calculation processing is executed for a data frame including data that belongs to a layer closer to an input layer, and calculation processing for a data frame including data that belongs to a layer closer to an output layer is skipped.

Abstract: An arithmetic circuit includes a LUT generation circuit (1) that, when coefficients c[n] (n=1, . . . , N) are paired two by two, outputs a value calculated for each of the pairs, and distributed arithmetic circuits (2-m) that calculate values z[m] that are sums of products of data x[m, n] of a data set X[m] containing M pairs of data x[m, n] and the coefficients c[n], in parallel for each of the M pairs. The distributed arithmetic circuit (2-m) includes binomial distributed arithmetic circuits that, for each of the pairs, calculate sums of products of a value obtained by pairing N data x[m, n] corresponding to the circuit two by two and a value obtained by pairing the coefficients c[n] two by two, and a figure matching circuit that matches a number of decimal figures of the sums with a predetermined number of decimal figures.

Abstract: A distributed deep learning system according to an embodiment includes M distributed processing nodes that perform deep learning of a neural network distributed from each other, and N aggregation processing nodes that are connected to each of the M distributed processing nodes via a first communication line and a second communication line, and perform aggregation of distributed processing results obtained at the M distributed processing nodes via the first communication line. Accordingly, even in a case of a plurality of users sharing the distributed deep learning system at the same time, efficient and stable distributed deep learning processing can be realized.

Abstract: A protection device provided between a synchronous motor having a plurality of windings and a motor driving device for driving the synchronous motor includes: a switching unit for making and breaking the connection between the motor driving device and the synchronous motor; a dynamic brake circuit including resistors and switches, to short-circuit the plurality of windings between the switching unit and the synchronous motor via the resistors; and a control device for controlling the switching unit and the dynamic brake circuit. The control device controls the switches in the dynamic brake circuit to short-circuit the plurality of windings, and then controls the switching unit to cut off the connection between the motor driving device and the synchronous motor.

Abstract: A distributed processing node transmits distributed data for M groups as intermediate consolidated data from M communication units to a distributed processing node. A distributed processing node generates, for each group, updated intermediate consolidated data from the received intermediate consolidated data and distributed data, and transmits the updated intermediate consolidated data from the M communication units to a distributed processing node. The distributed processing node transmits the received intermediate consolidated data to a distributed processing node as consolidated data. The distributed processing node transmits the received consolidated data to a distributed processing node. Each of the distributed processing nodes updates weights of a neural network, based on the consolidated data.

Abstract: A computing interconnect apparatus includes a reception unit configured to receive a packet transmitted from each of learning nodes and acquire a value of a gradient stored in the packet, an adder configured to calculate a sum of the gradient acquired by the reception unit in parallel separately for each of processing units in accordance with the number of the processing units to be carried out being determined by bit precision of the gradient and a desired processing speed, and a transmission unit configured to write calculation results of the sum of the gradient separate for each of the processing units being obtained by the adder into packetization and transmit the calculation results to each of the learning nodes.

Abstract: A stator includes first exterior members that surround sides of outer circumferential portions of coil ends on both end sides of an iron core, second exterior members connected to the first exterior members, and which surround sides of end portions of the coil ends in the axial direction, and mold members that cover the coil ends and are placed in contact with the first exterior members and the second exterior members. Holes are formed in the second exterior member on one end side, and a surface that faces the mold member, of the second exterior member on the one end side, is inclined in a manner so that a thickness thereof becomes continuously thinner toward the holes.

Abstract: A rotor capable of suppressing cogging torque and heat build-up caused when an electric motor is operated. The rotor includes a sleeve fixed to a radially outside of a rotary shaft, a plurality of magnets disposed around a radially outside of the sleeve, and a reinforcing member having a cylindrical shape that surrounds the plurality of magnets while being in contact with an outer surface of each of the plurality of magnets to hold the plurality of magnets with the sleeve, each of the plurality of magnets including a central portion in a circumferential direction, in contact with the sleeve, and an end portion in the circumferential direction, having a thickness less than that of the central portion and forming a gap with the sleeve.

Abstract: An arithmetic circuit includes an LUT generation circuit (1) that, when coefficients c[n] (n=1, . . . , N) are paired two by two, outputs a value calculated for each of the pairs, and a distributed arithmetic circuit (2-m) that calculates values y[m] of product-sum arithmetic, by which data x[m, n] of a data set X[m] containing M pairs of data x[m, n] is multiplied by the coefficients c[n] and the products are summed up, in parallel for each of the M pairs.

Abstract: Resin composition including an epoxy resin, an epoxy resin curing agent, and a polyimide resin including a specified structural unit provide a high yield after patterning.

Abstract: Resin compositions including: (A) a naphthol aralkyl type epoxy resin having a weight-average molecular weight (Mw) of 1,000 or more and an epoxy equivalent of 350 g/eq. or more; and (B) a curing agent, in which (B) the curing agent includes an active ester type curing agent are useful for preparing cured products, sheet lamination materials, resin sheets, printed wiring boards, and semiconductor devices, and for methods for producing printed wiring boards or semiconductor devices.

Abstract: An arithmetic circuit includes an LUT generation circuit (1) that, when coefficients c[n] (n=1, . . . , N) are paired two by two, outputs a value calculated for each of the pairs, and a distributed arithmetic circuit (2-m) that calculates values y[m] of product-sum arithmetic, by which data x[m, n] of a data set X[m] containing M pairs of data x[m, n] is multiplied by the coefficients c[n] and the products are summed up, in parallel for each of the M pairs.

Abstract: A first distributed processing node transmits distributed data to a second distributed processing node as intermediate consolidated data. A third distributed processing node generates intermediate consolidated data after update from received intermediate consolidated data and distributed data, and transmits the intermediate consolidated data to a fourth distributed processing node. The first distributed processing node transmits the received intermediate consolidated data to fifth distributed processing node as consolidated data. The third distributed processing node transmits the received consolidated data to a sixth distributed processing node.

Abstract: A rotor of a synchronous motor is provided with a plurality of magnets fixed to an outer circumferential surface of a rotor core, and a reinforcement member having a cylindrical shape. An interposition member is disposed between the magnet and the reinforcement member. The magnet includes an outer circumferential surface whose center portion in the circumferential direction bulges outward. The interposition member is formed so as to cover the entire outer circumferential surface of the magnet. An outer circumferential surface of the interposition member has a circular shape when cutting along a plane perpendicular to a rotation axis, and is in close contact with an inner circumferential surface of the reinforcement member.