Abstract: Computing systems, database systems, and related methods are provided for recommending values for fields of database objects and dynamically updating a recommended value for a field of a database record in response to updated auxiliary data associated with the database record. One method involves obtaining associated conversational data, segmenting the conversational data, converting each respective segment of conversational data into a numerical representation, generating a combined numerical representation of the conversational data based on the sequence of numerical representations using an aggregation model, generating the recommended value based on the combined numerical representation of the conversational data using a prediction model associated with the field, and autopopulating the field of the case database object with the recommended value.

Abstract: Disclosed are some implementations of systems, apparatus, methods and computer program products for integrating question generation and answer retrieval in a question answer system. The system generates a question using a set of documents and determines whether it is semantically distinct from questions in a question-answer repository. After determining that the question is semantically distinct from questions in the question-answer repository, the system adds the question to the question-answer repository. Upon receipt of a user-submitted question, the system uses the question-answer repository to identify a semantically similar question. The system retrieves an answer corresponding to the identified question from the question-answer repository and provides the answer in response to the user-submitted question.

Abstract: A data processing system analyzes a corpus of conversation data received at an interactive conversation service to train a response recommendation model. The response recommendation model generates response vectors based on custom responses and using the trained model and generates a context vector based on received input at the interactive conversation service. The context vector is compared to the set of response vectors to identify a set of recommended responses, which are recommended to an agent conversing with a user using the interactive conversation service.

Abstract: Example apparatus, systems and methods for cloud-based simulation and control of building systems are disclosed and described herein. An example apparatus includes a control center including a processor configured to implement a modeler to generate a model of a target building infrastructure based on weather data, usage data, and building properties information. The example processor is configured to implement a building energy simulator to simulate energy usage for the target building using the model and scenario parameters. The example simulator is to simulate a plurality of scenarios with respect to the model to determine the configuration information for the one or more facility environmental controllers at the target building. The example simulator is to calculate a value associated with each simulated scenario and facilitate comparison of the values to generate the configuration information corresponding to a selected value to be selected from the values associated with the simulated scenarios.

Abstract: A system is provided for a machine learning engine using clustered case objects in a case management system. The system includes a multi-layer neural network. The system is configured to receive case object data comprising a case object and contextual objects in the case management system associated with the case object, the contextual objects comprising word vectors, generate a context embedding for the case object using the word vectors for the contextual objects, and cluster the case object with other case objects in the case management system based on the context embedding for the case object and other context embeddings for the other case objects.

Abstract: A method and system for recommending articles including: receiving a customer request from the customer during the session; generating case data for a case, by an article recommender app; configuring a training set based on the subject and description data of the customer request; identifying, by an artificial intelligence (AI) app, a first pool of articles from a knowledge database; identifying by at least one query, a second pool of articles from a case article database to into a merged pool of articles; assigning, by the AI app, an implicit label to one of the first pool and the second pool of the articles; applying a model derived by the AI app based on customer behavior and a set of features related to the case to classify each article of the merged pool of articles based at least in part on the predicted relevance of the article.

Abstract: A data processing system analyzes a corpus of conversation data received at an interactive conversation service to train a response recommendation model. The response recommendation model generates response vectors based on custom responses and using the trained model and generates a context vector based on received input at the interactive conversation service. The context vector is compared to the set of response vectors to identify a set of recommended responses, which are recommended to an agent conversing with a user using the interactive conversation service.

Abstract: A method of purifying a cyclic ester, the method including: granulating a crude cyclic ester, an average particle size of resulting granules being 0.05-1.00 mm; adding the granules to 0-4° C. water to yield a mixture, a mass ratio of the water to the granules being (0.5-2):1; stirring the mixture, and performing solid-liquid separation on the mixture; repeating the stirring and solid-liquid separation for 1-4 times, to yield a purified cyclic ester; drying the purified cyclic ester at 0-4° C. and at an absolute pressure of less than or equal to 10 pascal for 4-6 hours, and continually drying the purified cyclic ester at 40-60° C. and at an absolute pressure of less than or equal to 5 pascal for 1-2 hours.

Abstract: A method of generating coordinated roof top unit (RTU) control commands includes selecting a building segment, accessing a model corresponding to the segment, training the model with historical data, segment layout data, and heating/ventilation/cooling (HVC) configuration, pushing the trained model to a wireless area controller in communication with thermostats in the segment, optimizing the trained first model using aggregated monitored data provided by sensors distributed in the segment, generating control commands to coordinate the operation of the thermostats, providing the control commands to the thermostats, receiving monitored data from the sensors, aggregating the received monitored data, and the wireless area controller optimizing and/or updating the model with the aggregated received data. A system to implement the method and a non-transitory computer-readable medium containing executable instructions are also disclosed.

Abstract: A method of generating coordinated RTU control commands includes selecting a building segment, accessing a model corresponding to the segment, training the model with historical data, segment layout data, and heating/ventilation/cooling (HVC) configuration, pushing the trained model to a wireless area controller in communication with thermostats in the segment, optimizing the trained first model using aggregated monitored data provided by sensors distributed in the segment, generating control commands to coordinate the operation of the thermostats, providing the control commands to the thermostats, receiving monitored data from the sensors, aggregating the received monitored data, and the wireless area controller optimizing and/or updating the model with the aggregated received data. A system to implement the method and a non-transitory computer-readable medium containing executable instructions are also disclosed.

Abstract: Example apparatus, systems and methods for cloud-based simulation and control of building systems are disclosed and described herein. An example apparatus includes a control center including a processor configured to implement a modeler to generate a model of a target building infrastructure based on weather data, usage data, and building properties information. The example processor is configured to implement a building energy simulator to simulate energy usage for the target building using the model and scenario parameters. The example simulator is to simulate a plurality of scenarios with respect to the model to determine the configuration information for the one or more facility environmental controllers at the target building. The example simulator is to calculate a value associated with each simulated scenario and facilitate comparison of the values to generate the configuration information corresponding to a selected value to be selected from the values associated with the simulated scenarios.

Abstract: A method of purifying a cyclic ester, the method including: granulating a crude cyclic ester, an average particle size of resulting granules being 0.05-1.00 mm; adding the granules to 0-4° C. water to yield a mixture, a mass ratio of the water to the granules being (0.5-2):1; stirring the mixture, and performing solid-liquid separation on the mixture; repeating the stirring and solid-liquid separation for 1-4 times, to yield a purified cyclic ester; drying the purified cyclic ester at 0-4° C. and at an absolute pressure of less than or equal to 10 pascal for 4-6 hours, and continually drying the purified cyclic ester at 40-60° C. and at an absolute pressure of less than or equal to 5 pascal for 1-2 hours.

Abstract: A technological method for synthesizing optically pure L-/D-lactide by using a biogenic guanidine catalysis method. The method of the present invention comprises: by using biogenic guanidine creatinine (CR) as a catalyst and L-/D-lactic acid (90% of mass content) as a raw material, synthesizing optically pure L-/D-lactide by using a reactive reduced pressure distillation catalysis method.

Abstract: A method for synthesizing poly(butylene succinate-co-butylene adipate) (PBSA), including: a) adding raw materials including succinic acid, adipic acid, and 1,4-butanediol into a reaction still; increasing the temperature in the reaction still to 130° C., and stirring the raw materials, then keeping the temperature in the reaction still at 170-200° C., and dehydrating for 1-3 hours at atmospheric pressure, to yield an oligomer of PBSA; and b) decreasing the temperature of the reaction still to 100° C., and adding a composite catalyst system, the total addition of the composite catalyst system accounting for one ten-thousandth to one ten-millionth of a total weight percentage of the raw materials; uniformly stiffing and mixing the composite catalyst system and reactants, slowly vacuum pumping the reaction still, heating the reaction still to a temperature of 200-240° C. and allowing the composite catalyst system and the reactants to react for 10-20 hrs.

Abstract: A method for synthesizing poly(butylene succinate-co-butylene adipate) (PBSA), including: a) adding raw materials including succinic acid, adipic acid, and 1,4-butanediol into a reaction still; increasing the temperature in the reaction still to 130° C., and stiffing the raw materials, then keeping the temperature in the reaction still at 170-200° C., and dehydrating for 1-3 hours at atmospheric pressure, to yield an oligomer of PBSA; and b) decreasing the temperature of the reaction still to 100° C., and adding a composite catalyst system, the total addition of the composite catalyst system accounting for one ten-thousandth to one ten-millionth of a total weight percentage of the raw materials; uniformly stiffing and mixing the composite catalyst system and reactants, slowly vacuum pumping the reaction still, heating the reaction still to a temperature of 200-240° C. and allowing the composite catalyst system and the reactants to react for 10-20 hrs.

Abstract: A system and method for facilitating an intelligent query for graphic pattern is provided. In example embodiments, a plurality of user interfaces is provided at a first device that is communicatively coupled to a second device having a visual analytics system. The plurality of user interfaces provides control of the visual analytics system of the second device at the first device. Sketch inputs are received via a sketch user interface of the plurality of user interfaces. The sketch inputs collectively generate a graphic pattern. A complex query is generated that includes the graphic pattern. The complex query is transmitted to the second device having the visual analytics system that performs a search for data that matches the complex query.

Abstract: A technological method for synthesizing optically pure L-/D-lactide by using a biogenic guanidine catalysis method. The method of the present invention comprises: by using biogenic guanidine creatinine (CR) as a catalyst and L-/D-lactic acid (90% of mass content) as a raw material, synthesizing optically pure L-/D-lactide by using a reactive reduced pressure distillation catalysis method.

Abstract: A method and apparatus for automatically identifying harmful electronic messages, such as those presented in emails, on Craigslist or on Twitter, Facebook and other social media websites, features methodology for discriminating unwanted garbage communications (spam) and unwanted deceptive messages (scam) from wanted, truthful communications based upon patterns discernable from samples of each type of electronic communication. Methods are proposed that enable discrimination of wanted from unwanted communications in short electronic messages, such as on Twitter and for multilingual application.

Abstract: A method and apparatus for automatically identifying harmful electronic messages, such as those presented in emails, on Craigslist or on Twitter, Facebook and other social media websites, features methodology for discriminating unwanted garbage communications (spam) and unwanted deceptive messages (scam) from wanted, truthful communications based upon patterns discernable from samples of each type of electronic communication. Methods are proposed that enable discrimination of wanted from unwanted communications in short electronic messages, such as on Twitter and for multilingual application.