Abstract: An IGCC fuel component analysis and calorific value measurement system, the fuel components can be effectively measured by an infrared instrument and a chromatographic instrument; the multiplex redundant measurement is combined, two syngas is sampled by two sampling devices, two groups of measuring instruments are arranged, the multi-channel calculation of calorific value improves the reliability of calorific value control, and the measurement and process problems are effectively found by calorific value comparison, guaranteeing the effective output of calculated values in the fault state of the instrument, improving the calculation accuracy of calorific value, accurately analyzing the fuel components and calculating the fuel calorific value, and ensuring the stability of the calorific value regulation system and the stable operation of gas turbine; the multi-directional, diversified and multi-security instrument and the introduction of comparison between measured and calculated calorific values can effective

Abstract: Described herein is a framework for classifying social media inputs. In accordance with one aspect of the framework, one or more social media inputs is acquired from one or more social media platforms. The social media inputs are cleaned to remove redundant elements. One or more features are extracted from the cleaned social media inputs. The social media inputs are classified by a trained classifier into predefined categories using the extracted one or more features.

Abstract: Described herein is a machine learning framework for facilitating engagements. In accordance with one aspect of the framework, a machine learning model is trained based on the training data. A recommendation associated with an opportunity record may then be generated using the trained machine learning model. Results of one or more actions performed in response to the recommendation may be collected and fed back to the machine learning model to be used as the training data.

Abstract: Described herein is a machine learning framework for facilitating engagements. In accordance with one aspect of the framework, a machine learning model is trained based on the training data. A recommendation associated with an opportunity record may then be generated using the trained machine learning model. Results of one or more actions performed in response to the recommendation may be collected and fed back to the machine learning model to be used as the training data.

Abstract: Described herein is a framework for classifying social media inputs. In accordance with one aspect of the framework, one or more social media inputs is acquired from one or more social media platforms. The social media inputs are cleaned to remove redundant elements. One or more features are extracted from the cleaned social media inputs. The social media inputs are classified by a trained classifier into predefined categories using the extracted one or more features.

Abstract: A processing device of an information processing system is configured to detect bursts of activity associated with a particular user, to map the bursts to tasks performed by the user, to generate a user model based on the mapping of bursts to tasks, and to provide personalized query processing to the user based on the user model. The user model may comprise a Hidden Markov Model. In one embodiment, a query is received from the user in a current time window, and a model parameter is obtained. Based on the model parameter, a most likely task for the user in the current time window is identified, and based on the query, the most likely task, and user classification, search results are ranked for presentation to the user. The processing device may be configured to communicate the user model to a cloud service provider, and to receive from the cloud service provider the ranked search results determined based on the user model.

Abstract: An embodiment of the current invention is a computer implemented method and computer product for searching resources of a computer system comprising, enabling a user to input a keyword, wherein the keyword is used to generate a list of search results corresponding to resources, enabling the user to select one or more filters of a plurality of filters, wherein selection of a filter filters the list of search results of the resources and displaying the resources and associations between the filtered list of the resources based on the keyword and selection of filters; wherein the associations represent a user's interactions with the resources of the computer system.

Abstract: A processing device of an information processing system is configured to detect bursts of activity associated with a particular user, to map the bursts to tasks performed by the user, to generate a user model based on the mapping of bursts to tasks, and to provide personalized query processing to the user based on the user model. The user model may comprise a Hidden Markov Model. In one embodiment, a query is received from the user in a current time window, and a model parameter is obtained. Based on the model parameter, a most likely task for the user in the current time window is identified, and based on the query, the most likely task, and user classification, search results are ranked for presentation to the user. The processing device may be configured to communicate the user model to a cloud service provider, and to receive from the cloud service provider the ranked search results determined based on the user model.

Abstract: A signal source for use as a frequency source or time keeping signal source includes a radioactive emission source generating a substantially periodic signal corresponding to a radioactive material's disintegration rate. A radioactive emission detector generates a radioactive emission detection signal and, to stabilize the detected periodic signal, a dead time controlling attenuator blanks or shuts off the radioactive emission detection signal for a selected dead time interval in response to each detected radioactive emission (i.e., a detected signal pulse or signal component) generated by the source. The dead time controlling attenuator output provides a long-term and short-term a stable periodic signal.

Abstract: A signal source for use as a frequency source or time keeping signal source includes a radioactive emission source generating a substantially periodic signal corresponding to a radioactive material's disintegration rate. A radioactive emission detector generates a radioactive emission detection signal and, to stabilize the detected periodic signal, a dead time controlling attenuator blanks or shuts off the radioactive emission detection signal for a selected dead time interval in response to each detected radioactive emission (i.e., a detected signal pulse or signal component) generated by the source. The dead time controlling attenuator output provides a long-term and short-term a stable periodic signal.