1830 results about "Self-healing" patented technology

A composite material, contains a polymer, a polymerizer, a corresponding catalyst for the polymerizer, and a plurality of capsules. The polymerizer is in the capsules. The composite material is self-healing.

Application configurations, including applications themselves, application components, and modules associated with the application are installed on an application-server machine and stored in system-determined locations. These locations, or absolute paths, are then stored in a “loose configuration”. As new versions of applications, components, and / or modules are installed, they are placed in unique locations and given unique version numbers. A record of each application configuration version is stored and is referred to as “snapshots”. These snapshots provide a record of and pointers to the various elements that make up the various application configuration versions, so that at any time, a current version of an application configuration can be “rolled back” to a previous version of an application configuration. The methodology can be utilized to provide a self-healing configuration, whereby a faulty version of an application configuration can be rolled back to a previous version automatically.

Data stored within a cluster may be distributed among nodes each storing a portion of the data. The data may be replicated wherein different nodes store copies of the same portion of the data. In response to detecting the failure of a node, the cluster may initiate a timeout period. If the node remains failed throughout the timeout period, the cluster may copy the portion of the data stored on the failed node onto one or more other nodes of the cluster. If the node returns to the cluster during the timeout period, the cluster may maintain the copy of the data on the previously failed node without copying the portion of the data stored on the failed node onto any other nodes. By delaying self-healing of the cluster for the timeout period, an unbalanced data distribution may be avoided in cases where a failed node quickly rejoins the cluster.

A communications network is provided with a self-healing topological architecture. Each node in the network detects continuously transmitted beacon packets that are propagated through the network at regular intervals by a root node. Upon failure to detect a new beacon packet after a predetermined time from a parent node, a network node determines a network isolation condition and searches for another node that is still actively connected in the network. Algorithms are provided for registering with and identifying active parent node candidates during a network failure so as to prevent the creation of network loops.

The invention discloses an STED super-resolution microscope based on first-order Bessel beams and an adjustment method thereof. The STED microscope comprises an excitation light source, a loss light source, an excitation light beam expanding and collimation system, a loss light beam expanding and collimation system, a spiral phase plate, a Bessel beam generation system, a loss light focusing lens, a beam combining system, an object lens, a piezoelectric scanning system, a filter plate, a signal collection system and a single-photon detector. Loss light is the first-order Bessel beams and has scattering-resistant and self-healing characteristics, and great light spot form of the deep position of a sample can be maintained so that resolution of the deep area of the sample can be enhanced. Compared with a method of realizing STED super-resolution microscope deep imaging through adjusting an object lens correction ring, the method is relatively simple in experiment operation without active adjustment. Compared with a method of using a self-adaptive optical system, the experiment device is relatively simple and cheap.

A self-healing database engine and optimizer framework support automatically responding to execution errors to allow continued execution of a query plan. Upon encountering an execution error, the database engine automatically initiates a rebuilding of the query plan and executes the rebuilt execution plan. If an error is encountered in the rebuilt query plan then the query implementation methods are analyzed. If a query function is identified for which an alternative implementation method is available, then this alternative implementation method is substituted to create a new query plan. The new query plan is then executed to determine if the error is corrected.