Abstract: A conveying device for conveying crop material from a pick-up mechanism to a baler comprises a conveying channel having a base comprising an upstream base part and a downstream base part. The downstream end of the upstream base part is supported on a pair of first resilient mounting members and the upstream end of the downstream base part is supported on a pair of second resilient support members. The first and second resilient support members, in response to the force with which crop material is being urged by the feed rotor against the upstream and downstream base parts exceeding respective first and second predefined values, yield. This results in downward displacement of the upstream base part and the downstream base part to permit crop material to pass through the conveying channel.

Abstract: Sparse representation of information performs powerful feature extraction on high-dimensional data and is of interest for applications in signal processing, machine vision, object recognition, and neurobiology. Sparse coding is a mechanism by which biological neural systems can efficiently process complex sensory data while consuming very little power. Sparse coding algorithms in a bio-inspired approach can be implemented in a crossbar array of memristors (resistive memory devices). This network enables efficient implementation of pattern matching and lateral neuron inhibition, allowing input data to be sparsely encoded using neuron activities and stored dictionary elements. The reconstructed input can be obtained by performing a backward pass through the same crossbar matrix using the neuron activity vector as input. Different dictionary sets can be trained and stored in the same system, depending on the nature of the input signals.

Abstract: Coupling apparatus for coupling a mower to a front three-point linkage of a tractor includes a mounting element for coupling to the three-point linkage and a carrier element to which the mower is coupled. A linkage mechanism including upper link members and a lower link member couples the carrier element to the mounting element. The lower link member is pivotally coupled to the mounting element about a first lower pivot axis. A pair of take-up springs act between the lower link member and the mounting element to take up a portion of the weight of the mower. The take-up springs are coupled between corresponding anchor elements and corresponding anchor brackets on the lower link member. The anchor elements are carried on respective compensating arms, which in turn are pivotal on pivot shafts carried on the mounting element.

Abstract: Sparse representation of information performs powerful feature extraction on high-dimensional data and is of interest for applications in signal processing, machine vision, object recognition, and neurobiology. Sparse coding is a mechanism by which biological neural systems can efficiently process complex sensory data while consuming very little power. Sparse coding algorithms in a bio-inspired approach can be implemented in a crossbar array of memristors (resistive memory devices). This network enables efficient implementation of pattern matching and lateral neuron inhibition, allowing input data to be sparsely encoded using neuron activities and stored dictionary elements. The reconstructed input can be obtained by performing a backward pass through the same crossbar matrix using the neuron activity vector as input. Different dictionary sets can be trained and stored in the same system, depending on the nature of the input signals.

Abstract: A conveying device (1) for picking up a sward of crop material from the ground and feeding the crop material to, for example, a baler (4), comprises a conveying channel (28) through which the crop material is conveyed from a pick-up mechanism (18) to the baler (4) by a feed rotor 34. The conveying channel (28) comprises a base (30) comprising an upstream base part (43) and a downstream base part (44). The upstream base part (43) is pivotal adjacent its upstream end (45) about a transversely extending first pivot axis (57). The downstream base part (44) is pivotal about a second transversely extending second pivot axis (76) towards the downstream end (51) thereof. The downstream end (46) of the upstream base part (43) is supported on a pair of first resilient mounting members (59) and the upstream end (50) of the downstream base part (44) is supported on a pair of second resilient support members (85) through a pair of carrier arms (78) which are pivotal about a transversely extending carrier pivot axis (74).

Abstract: Sparse representation of information performs powerful feature extraction on high-dimensional data and is of interest for applications in signal processing, machine vision, object recognition, and neurobiology. Sparse coding is a mechanism by which biological neural systems can efficiently process complex sensory data while consuming very little power. Sparse coding algorithms in a bio-inspired approach can be implemented in a crossbar array of memristors (resistive memory devices). This network enables efficient implementation of pattern matching and lateral neuron inhibition, allowing input data to be sparsely encoded using neuron activities and stored dictionary elements. The reconstructed input can be obtained by performing a backward pass through the same crossbar matrix using the neuron activity vector as input. Different dictionary sets can be trained and stored in the same system, depending on the nature of the input signals.

Abstract: A combined baler/bale wrapper (1) comprises a baler (10) mounted on a chassis (5) and a bale wrapper (14) mounted on the chassis (5) rearwardly of the baler (10) for wrapping a bale formed by the baler (10). The bale wrapper (14) comprises a pair of first and second bale support rollers (50,51) for supporting and rotating the bale about a first wrapping axis (56). A pair of wrapping film dispensers (60) are carried on a carrier ring (58) which is rotated about a second wrapping axis (61) for dispensing wrapping film onto the bale (2) as the bale (2) is being rotated by the first and second bale support rollers (50,51).

Abstract: Sparse representation of information performs powerful feature extraction on high-dimensional data and is of interest for applications in signal processing, machine vision, object recognition, and neurobiology. Sparse coding is a mechanism by which biological neural systems can efficiently process complex sensory data while consuming very little power. Sparse coding algorithms in a bio-inspired approach can be implemented in a crossbar array of memristors (resistive memory devices). This network enables efficient implementation of pattern matching and lateral neuron inhibition, allowing input data to be sparsely encoded using neuron activities and stored dictionary elements. The reconstructed input can be obtained by performing a backward pass through the same crossbar matrix using the neuron activity vector as input. Different dictionary sets can be trained and stored in the same system, depending on the nature of the input signals.

Abstract: Sparse representation of information performs powerful feature extraction on high-dimensional data and is of interest for applications in signal processing, machine vision, object recognition, and neurobiology. Sparse coding is a mechanism by which biological neural systems can efficiently process complex sensory data while consuming very little power. Sparse coding algorithms in a bio-inspired approach can be implemented in a crossbar array of memristors (resistive memory devices). This network enables efficient implementation of pattern matching and lateral neuron inhibition, allowing input data to be sparsely encoded using neuron activities and stored dictionary elements. The reconstructed input can be obtained by performing a backward pass through the same crossbar matrix using the neuron activity vector as input. Different dictionary sets can be trained and stored in the same system, depending on the nature of the input signals.

Abstract: Sparse representation of information performs powerful feature extraction on high-dimensional data and is of interest for applications in signal processing, machine vision, object recognition, and neurobiology. Sparse coding is a mechanism by which biological neural systems can efficiently process complex sensory data while consuming very little power. Sparse coding algorithms in a bio-inspired approach can be implemented in a crossbar array of memristors (resistive memory devices). This network enables efficient implementation of pattern matching and lateral neuron inhibition, allowing input data to be sparsely encoded using neuron activities and stored dictionary elements. The reconstructed input can be obtained by performing a backward pass through the same crossbar matrix using the neuron activity vector as input. Different dictionary sets can be trained and stored in the same system, depending on the nature of the input signals.

Abstract: Coupling apparatus (80) for coupling a mower (3) to a front three-point linkage of a tractor comprises a mounting element (17) for coupling to the three-point linkage and a carrier element (19) to which the mower (3) is coupled. A linkage mechanism (20) comprising upper link members (81) and a lower link member (23) couples the carrier element (19) to the mounting element (17). The lower link member (23) is pivotally coupled to the mounting element (17) about a first lower pivot axis (30). A pair of take-up springs (45) act between the lower link member (23) and the mounting element (17) to take up a portion of the weight of the mower (3). The take-up springs (45) are coupled between corresponding anchor elements (60) and corresponding anchor brackets (49) on the lower link member (23). The anchor elements (60) are carried on respective compensating arms (88), which in turn are pivotal on pivot shafts (53) carried on the mounting element (17).

Abstract: One embodiment identifies all one-hop neighbor nodes and two-hop neighbor nodes of a node; determines an active set of one-hop neighbor nodes for the node, comprising: includes in the active set each one-hop neighbor node that is either an edge node or connected with at least one two-hop neighbor node with which no other one-hop neighbor nodes are connected; and if the active set is not yet complete, then: determine all combinations of one-hop neighbor nodes that are not already in the active set; and tests each combination in order of each combination's total-energy value to determine whether a specific combination is able to complete the active set; if no combination is able to complete the active set, then including all one-hop neighbor nodes in the active set; and communicates a message to each one-hop neighbor node in the active set indicating that it is in the active set.

Abstract: A combined baler/bale wrapper (1) includes a chassis (5) on which a baler (10) and a bale wrapper (11) are mounted. The baler (10) includes a stationary segment (18), a lower segment (19) and an upper segment (20) which together define a bale forming chamber (15) within which a round bale (2) is formed. The lower segment (19) and the upper segment (20) are pivotal from a bale forming position (FIG. 5) to a discharge position (FIG. 1) for transferring a bale of the bale forming chamber (15) onto bale supporting rollers (50) of the bale wrapper (11). The bale supporting rollers (50) rotate the bale (2) about a first wrapping axis (53) while a carrier ring (55) simultaneously revolves a pair of wrapping material dispensers (54) about a second wrapping axis (56) for dispensing wrapping material onto the bale (2).

Abstract: A combined baler/bale wrapper (1) comprises a chassis (5) on which a baler (10) and a bale wrapper (11) are mounted. The baler (10) comprises a stationary segment (18), a lower segment (19) and an upper segment (20) which together define a bale forming chamber (15) within which a round bale (2) is formed. The lower segment (19) and the upper segment (20) are pivotal from a bale forming position (FIG. 5) to a discharge position (FIG. 1) for transferring a bale of the bale forming chamber (15) onto bale supporting rollers (50) of the bale wrapper (11). The bale supporting rollers (50) rotate the bale (2) about a first wrapping axis (53) while a carrier ring (55) simultaneously revolves a pair of wrapping material dispensers (54) about a second wrapping axis (56) for dispensing wrapping material onto the bale (2).

Abstract: An anchor assembly comprising an anchor having a shank with a running slot for a shackle connection to an anchor rode with which the anchor is to be supported, the running slot allowing a captive movement of the shackle between a location at the free end of the shank and a location adjacent the fluke of the anchor, and apparatus carried by the shank, configurable through or at the slot to maintain the shackle, at or in the vicinity of the location at the free end of the shank.

Abstract: A combined baler/bale wrapper (1) comprises a baler (10) mounted on a chassis (5) and a bale wrapper (14) mounted on the chassis (5) rearwardly of the baler (10) for wrapping a bale formed by the baler (10). The bale wrapper (14) comprises a pair of first and second bale support rollers (50,51) for supporting and rotating the bale about a first wrapping axis (56). A pair of wrapping film dispensers (60) are carried on a carrier ring (58) which is rotated about a second wrapping axis (61) for dispensing wrapping film onto the bale (2) as the bale (2) is being rotated by the first and second bale support rollers (50,51).

Abstract: One embodiment receives at a first node in at least a portion of a network a routing table, the portion of the network comprising the first node and one or more second nodes, the routing table specifying the immediate neighbor that provides each of the best paths in the portion of the network based on a total cost; using the routing table, determines at the first node every second node that is necessary for the first node to reach all edges of the network, the second nodes that are necessary for the first node to reach all edges of the network comprising an active set for the first node; and sends a message from the first node to every second node to facilitate determining whether to shut down the second node.

Abstract: One embodiment identifies all one-hop neighbor nodes and two-hop neighbor nodes of a node; determines an active set of one-hop neighbor nodes for the node, comprising: includes in the active set each one-hop neighbor node that is either an edge node or connected with at least one two-hop neighbor node with which no other one-hop neighbor nodes are connected; and if the active set is not yet complete, then: determine all combinations of one-hop neighbor nodes that are not already in the active set; and tests each combination in order of each combination's total-energy value to determine whether a specific combination is able to complete the active set; if no combination is able to complete the active set, then including all one-hop neighbor nodes in the active set; and communicates a message to each one-hop neighbor node in the active set indicating that it is in the active set.

Abstract: One embodiment identifies all one-hop neighbor nodes and two-hop neighbor nodes of a node; determines an active set of one-hop neighbor nodes for the node, comprising: includes in the active set each one-hop neighbor node that is either an edge node or connected with at least one two-hop neighbor node with which no other one-hop neighbor nodes are connected; and if the active set is not yet complete, then: determine all combinations of one-hop neighbor nodes that are not already in the active set; and tests each combination in order of each combination's total-energy value to determine whether a specific combination is able to complete the active set; if no combination is able to complete the active set, then including all one-hop neighbor nodes in the active set; and communicates a message to each one-hop neighbor node in the active set indicating that it is in the active set.