Abstract:
A salt-based method to monitor and log the time periods a data center air's relative humidity goes above a predefined limit. The choice of the salt is such that its deliquescent relative humidity is equal to the desired limit, so that above the desired limit, the salt gets wet and therefore electrically conductive. An alarm can then give notice that relative humidity levels are above acceptable levels so that remedial action may be taken before problems such as electronic malfunction develop.
Abstract:
A salt-based device and a circuit to monitor and log the time periods a data center air's relative humidity goes above a predefined limit. The choice of the salt is such that its deliquescent relative humidity is equal to the desired limit, so that above the desired limit, the salt gets wet and therefore electrically conductive. An alarm can then give notice that relative humidity levels are above acceptable levels so that remedial action may be taken before problems such as electronic malfunction develop.
Abstract:
A corrosion-resistant apparatus may contain an electronic component having a first metal and a polymer coating covering the electronic component. The polymer coating includes polymer chains with unsaturated groups to scavenge sulfur and an anionic initiator dispersed in the polymer coating to convert cyclic elemental sulfur to linear polysulfide.
Abstract:
Apparatus and method for directly detecting the atmospheric conditions leading to creep corrosion of printed circuit boards (PCBs) well before the PCBs in the computers start suffering from creep corrosion. The embodiment indicates the propensity of the air towards creep corrosion on PCBs. Additionally, to avoid the false reading due to condensed moisture, condensed moisture may be avoided by using a heater attached to the creep corrosion monitor that keeps the creep corrosion monitor above the dew point temperature.
Abstract:
Methods, apparatus, and computer program products for multimodal artificial intelligence-based communication systems are provided herein. A computer-implemented method includes generating, using a first set of one or more artificial intelligence techniques, identifying information for one or more objects detected in image data associated with at least one user query; generating at least one updated version of the at least one user query by processing, using a second set of one or more artificial intelligence techniques, at least a portion of the at least one user query in conjunction with at least a portion of the identifying information for the one or more objects; generating at least one response to the at least one updated version of the at least one user query; and performing one or more automated actions based at least in part on the at least one response.
Abstract:
Disclosed embodiments provide techniques for monitoring and evaluating the effectiveness of key value pairs (KVPs) used in a document processing system. In embodiments, KVPs are obtained from multiple extractors of a document processing system. A score is computed for the KVPs by computing an effectiveness metric for each KVP from the multiple KVPs. In response to the computed score being below a predetermined threshold, a model retraining process is performed to generate a new set of KVP extractors, and provide the new set of KVPs to the document processing system.
Abstract:
In an approach, a processor identifies a plurality of text separators in a borderless table, a text separator of the plurality of text separators defining a non-text region between two consecutive text lines in the borderless table. A processor classifies the plurality of text separators into a number of target clusters comprised in a target group based on property information related to the plurality of text separators, the number of target clusters corresponding to a number of separator types. A processor provides indication information to indicate respective separator types of the plurality of text separators based on a result of the classifying.
Abstract:
Computer implemented methods, systems, and computer program products include program code executing on a processor(s) that merges a document comprising multiple pages into a single document image. The program code processes the single document image to identify structural elements and textual content. The program code compares the structural elements of the single document image to other structural elements of a group of document templates stored in a database to identify a subset of the group of documents templates with a threshold number of similarities to the single document image. The program code generates, from the single document image, a graph structure representing the document, where the graph structure comprises visual information and connections related to the structural elements and concepts comprising the textual content. The program code uses the structure to identify a document template that is a closest match to the document.
Abstract:
Aspects of the present disclosure relate to support content generation. An issue description is received from a user. A software feature associated with the issue description is identified using a trained classification model. A base image associated with the software feature is obtained. The base image is modified to add information indicated in the issue description, wherein the modified base image is generated support content. The generated support content is transmitted.
Abstract:
In an approach, a processor identifies a plurality of text separators in a borderless table, a text separator of the plurality of text separators defining a non-text region between two consecutive text lines in the borderless table. A processor classifies the plurality of text separators into a number of target clusters comprised in a target group based on property information related to the plurality of text separators, the number of target clusters corresponding to a number of separator types. A processor provides indication information to indicate respective separator types of the plurality of text separators based on a result of the classifying.