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43results about How to "Significant information" patented technology

Automatic call distribution system using computer network-based communication

Multiple communication types are integrated into a call center. The communication types can be chat, email, Internet Protocol (IP) voice, traditional telephone, web page, digital image, digital video and other types. Features of the invention include allowing a single agent to handle multiple customers on multiple channels, or “endpoints.” Prioritizing and assigning calls to agents based on a specific criteria such as the number of endpoints assigned to an agent, the agents availability, the priority of a customer call, the efficiency of a given agent and the agent's efficiency at handling a particular communication type call. An agent user interface is described that allows the agent to have control over accepting multiple calls. The agent can drag and drop canned responses, images, URLs, or other information into a window for immediate display on a customer's computer. The system provides for detailed agent performance tracking. The system provides failure recovery by using a backup system. If the network server fails, then the customer is connected directly to an agent. When a failed computer comes back on line, the statistics gathered are then used to synchronize the returned computer. The system provides extensive call recording or “data wake” information gathering. The system provides flexibility in transferring large amounts of historic and current data from one agent to another, and from storage to an active agent. The system integrates human agents' knowledge with an automated knowledge base. The system provides for an agent updating, or adding, to the knowledge base in real time. The system also provides for “blending” of different communication types.
Owner:AVAYA TECH LLC

Automatic call distribution system using computer network-based communication

Multiple communication types are integrated into a call center. The communication types can be chat, email, Internet Protocol (IP) voice, traditional telephone, web page, digital image, digital video and other types. Features of the invention include allowing a single agent to handle multiple customers on multiple channels, or “endpoints.” Prioritizing and assigning calls to agents based on a specific criteria such as the number of endpoints assigned to an agent, the agents availability, the priority of a customer call, the efficiency of a given agent and the agent's efficiency at handling a particular communication type call. An agent user interface is described that allows the agent to have control over accepting multiple calls. The agent can drag and drop canned responses, images, URLs, or other information into a window for immediate display on a customer's computer. The system provides for detailed agent performance tracking. The system provides failure recovery by using a backup system. If the network server fails, then the customer is connected directly to an agent. When a failed computer comes back on line, the statistics gathered are then used to synchronize the returned computer. The system provides extensive call recording or “data wake” information gathering. The system provides flexibility in transferring large amounts of historic and current data from one agent to another, and from storage to an active agent. The system integrates human agents' knowledge with an automated knowledge base. The system provides for an agent updating, or adding, to the knowledge base in real time. The system also provides for “blending” of different communication types.
Owner:AVAYA TECH LLC

Method and Apparatus for Processing Mass Analysis Data

The present invention aims at providing a method and apparatus for presenting, based on an enormous amount of data collected by an imaging mass analysis, information which is significant for understanding the tissue structure and other information of a biological sample and which is intuitively easy to understand to analysis operator. For each pixel 8b on a sample 8, the mass-to-charge ratio m / z (i) corresponding to the maximum intensity MI(i) in the mass spectrum is extracted, and all the pixels are grouped into clusters in accordance with their m / z (i). One cluster corresponds to one substance. Then, the largest maximum intensity MI(i) among the maximum intensities of the pixels included in a cluster is extracted as the representative maximum intensity MI(cj) for each cluster, and these representative maximum intensities MI(cj) are displayed with cluster number cj. When an operator specifies one or more clusters to be displayed by reference to these MI(cj), different colors respectively are assigned to the specified clusters, and a cluster image in which the pixels included in each cluster are colored is created and displayed. On the cluster image, the spatial distributions of a plurality of substances are shown in different colors. Simultaneously, an integrated mass spectrum of all the pixels is displayed, in which the peaks corresponding to the selected clusters are colored in the same color as in the cluster image.
Owner:SHIMADZU CORP

Method and monitoring system for sample-analysis of data comprising a multitute of data packets

The invention is related to a method and a monitoring system for sample-analysis of data comprising a multitude of data packets. Defined parent population numbers (N) of data packets are sampled by an out of N sampling and classified or vice versa. Classification is done by classification rules to create sample-flow-groups of specific flows. Each sample-flow-group consists of a sample-flow-quantity of data packets having a sample-flow-size. According to the invention in each sample-flow-group sample-flow-variances and sample-flow ratios defined by the sample-flow-quantity in proportion to the sample number (n) are determined. Furthermore, an estimated flow size defined by an estimated sum of data sizes of data packages in a flow of the parent population number of data packets and its variance are calculated. For the calculation the parent population number, the sample number and at least one of the sample-flow-ratios, the sample-flow-mean-sizes and the sample-flow-variances are used, comprising the step of determination of at least one of parent population flow-ratios parent population flow-mean-sizes and parent population flow-variances for each flow in the parent population number of data packets.
Owner:FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG EV
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