Abstract: The present disclosure provides a control method and a control apparatus for a communication device, a communication system, and a storage medium. The control method for a communication device includes periodically outputting, a first level signal and a second level signal to the communication bus, and the second communication device establishes a data connection with the first communication device based on that the level signal on the communication bus is the first level signal, and the second communication device establishes a power supply connection with the first communication device based on that the level signal on the communication bus is the second level signal. Since the data connection and the power supply connection do not appear at the same time, the communication bus using the above-mentioned control method does not need to set an inductance compared to the traditional Home Bus.

Abstract: Provided are a communication control method and apparatus for an air conditioner, and a communication system and a readable storage medium. The communication control method for an air conditioner includes acquiring a voltage signal on a bus; determining a voltage slope-rising edge and a voltage slope-falling edge in the voltage signal based on that the voltage signal satisfies a comparison condition of a power supply voltage of a communication device and a reference voltage on the bus; performing time comparison on the voltage signal to obtain a processed voltage signal based on that the voltage slope-rising edge and the voltage slope-falling edge satisfy a slope comparison condition; determining, from a data model library, a target data model that is consistent with the processed voltage signal; and outputting data information corresponding to the target data model.

Abstract: Methods, systems and computer program products for providing automated robotic process automation design generation are provided. Aspects include receiving a set of stored automated sub-processes. Aspects also include receiving a process description document that describes a desired computer automated task (CAT) process. Aspects also include identifying a plurality of candidate sub-processes based on the process description document. Aspects also include identifying at least one matching sub-process based on a comparison of each of the plurality of candidate sub-processes to the set of stored automated sub-processes. The at least one matching sub-process is a stored automated sub-process that exceeds a threshold level of similarity to a candidate sub-process. Aspects also include generating a recommendation to automatically populate a portion of a CAT design file for the desired CAT process based on the at least one matching sub-process.

Abstract: New question and answer (QA) pairs can be automatically discovered from a corpus of data such as online chats and conversations. Newly discovered QA pairs can augment QA database, which can be used by a computer processor or device, e.g., by a chatbot, an automated machine, and/or another. Existing QA knowledge can be used to learn the structures of QA knowledge distribution in conversations, and new QA knowledge can be automatically learned through the structure of learned QA knowledge distribution in conversations. The structure of learned QA knowledge distribution can be refined by adding more semantics based on labeled data.

Abstract: Systems, computer-implemented methods, and computer program products that can facilitate computing environment migration plan recommendation based on one or more latent entity computing property preferences are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an analysis component that employs a model to discover a latent computing property preference of an entity operating in a first computing environment. The computer executable components can further comprise a recommendation component that recommends a computing environment migration plan to a second computing environment based on the latent computing property preference of the entity. In some embodiments, the recommendation component recommends discovered latent computing property preferences of the entity to construct the computing environment migration plan.

Abstract: A system, program product, and method for use with an artificial intelligence (AI) platform to dynamically amend a knowledge base responsive to query evaluating and processing. A received or detected query is subject to natural language processing to identify, annotate, and map one or more query tokens against a knowledge base. The query tokens are evaluated against the knowledge base to identify one or more query tokens absent from the knowledge base and leverage a neural network to predict a probability relationship between the query tokens absent from the knowledge base and one or more tokens populated in the knowledge base. The natural language (NL) query is translated to a structured query language (SQL) and the SQL query is executed and evaluated, and the knowledge base is selectively and dynamically amended subject to the SQL evaluation.

Abstract: A computer-implemented authentication method, the method comprising: matching a brain pattern sequence with a predetermined password to allow access to a system, wherein the brain pattern sequence is calculated by analyzing a signal slope of a slope threshold of the brain activity to determine a timing and a duration of the brain activity.

Abstract: Techniques for topology based interoperability determination for an information technology (IT) infrastructure are described herein. An aspect includes receiving a replacement notification for an element of an IT infrastructure. A topology subgraph corresponding to the element is generated based on a topology graph of the IT infrastructure. A plurality of replacement candidates for the element is determined. A respective interoperability subgraph based on the topology subgraph is generated for each replacement candidate of the plurality of replacement candidates. A recommended replacement candidate is selected from the plurality of replacement candidates based on the generated interoperability subgraphs.

Abstract: A chatbot system receives utterances of a conversation. The chatbot system constructs a conversation knowledge graph comprising one or more dialogue segments that correspond to utterances of the conversation. The chatbot system identifies a dialogue segment in the conversation knowledge graph having a contextual uncertainty that is detected based on a context model. The chatbot system generates a clarifying question for the identified dialogue segment having the contextual uncertainty. The chatbot system receives a clarifying answer from a user interface of the computing device to the clarifying question. The chatbot system updates the context model and the conversation knowledge graph based on the clarifying question and the clarifying answer to resolve the contextual uncertainty of the identified dialogue segment.

Abstract: Embodiments of the invention are directed to computer-implemented methods of labeling unlabeled electronic information. In a non-limiting embodiment of the invention, the computer-implemented method includes receiving, using a processor system, an unlabeled error log (EL) having an EL format. A set of unlabeled EL keywords are extracted from the unlabeled EL. For each unlabeled EL keyword, the processor system uses the unlabeled EL keyword to extract an electronic document (ED) sentence from an ED based on a determination that the ED sentence is relevant to the unlabeled EL keyword. One or more ED keywords are extracted from the ED sentence. A deep neural network of the processor system is used to predict an ED sentence label for the ED sentence, an ED keyword label for the ED keyword, and an EL keyword label for the unlabeled EL keyword.

Abstract: A method, system, and computer program product processes dialog data. The method includes obtaining dialog data including heterogeneous data items. The method includes generating a heterogeneous network based on the dialog data. The heterogeneous network includes two or more bipartite subnetworks representing the relationship of the data items in the dialog data. The nodes of the two or more bipartite subnetworks correspond to the data items in the dialog data. The method includes determining node representations for the nodes in the heterogeneous network through representation learning.

Abstract: This disclosure provides an approach to generating a label for an element of a business process model. The approach comprises obtaining at least one portion of a text segment that describes an element of a business process model. The approach further comprises applying a question-answering (QA) machine learning model to the at least one portion of the text segment to obtain a set of answers to a set of predetermined questions and generating a label for the element by combining the set of answers according to a format associated with the set of predetermined questions.

Abstract: Evaluation of a health condition includes obtaining a correlation between dietary habits and health issues of a plurality of reference users. The correlation is determined based on reference patterns. Each of the reference patterns indicates temporal characteristics of at least one dietary habit and at least one health issue of a reference user of the plurality of reference users. A target pattern of a target user is determined at least in part based on a profile for the target user. The target pattern at least indicates temporal characteristics of at least one dietary habit of the target user. An evaluation of a health condition of the target user is generated based on the target pattern and the correlation.

Abstract: Techniques for response generation are provided. One computer-implemented method comprises: receiving, by an electronic device operatively coupled to a processing unit, a query from a user. The computer-implemented method also comprises generating, by the electronic device, a dialog candidates set based on user context, wherein the user context comprises the query. The computer-implemented method can also comprise generating, by the electronic device, a response based on the dialog candidates set.

Abstract: Techniques for topology based interoperability determination for an information technology (IT) infrastructure are described herein. An aspect includes receiving a replacement notification for an element of an IT infrastructure. A topology subgraph corresponding to the element is generated based on a topology graph of the IT infrastructure. A plurality of replacement candidates for the element is determined. A respective interoperability subgraph based on the topology subgraph is generated for each replacement candidate of the plurality of replacement candidates. A recommended replacement candidate is selected from the plurality of replacement candidates based on the generated interoperability subgraphs.

Abstract: Aspects of the present invention disclose a method for consolidating of a plurality of personal bills from diverse financial sources to reflect the payments, expenses, and balances without duplication. The method includes one or more processors parsing a plurality of bills of a user, the plurality of bills including bills with varying formats. The method further includes identifying a set of bills of the plurality of bills of the user, the set of bills including related bills based at least in part on a prebuilt rule. The method further includes determining a correlation of one or more items of respective bills of the set of bills of the user based at least in part on a machine learning algorithm. The method further includes generating a consolidated bill, from the set of bills of the user, based at least in part on the determined correlation of the one or more items.

Abstract: A method, computer program product, and system for upgrading an IT system are provided. The method comprises: determining a plurality of existing components of the IT system; determining at least one user component based on a user requirement; building a structural topology of the IT system in accordance with the plurality of existing components and the at least one user component, the structural topology comprising the plurality of existing components, at least one connection among the plurality of existing components, and the at least one user component with its conditional connection, the conditional connection comprising the dependency of the at least one user component; and providing at least one upgrade recommendation for the IT system in accordance with the structural topology.

Abstract: A computer implemented method of pre-emptively blocking an electronic communication is provided. The computer implemented method includes inputting an electronic communication history, wherein the electronic communication history includes a plurality of electronic communications and a set of corresponding recipients for each of the plurality of electronic communications. The computer implemented method further includes normalizing the plurality of electronic communications, and extracting a topic from each of the plurality of electronic communications. The computer implemented method further includes clustering the plurality of electronic communications according to the extracted topics, and digesting the plurality of electronic communication to form a positive learning data set and a negative learning data set to train a neural network.

Abstract: Methods, computer program products, and systems for Robotic Process Automation (RPA) upgrade of an application are provided. A first mapping indicating relationships between UI elements in a first version of the application and UI elements in a second version of the application and a second mapping indicating relationships between one or more UI elements in a first version of an RPA code corresponding to the first version of the application and UI elements in the first version of the application are respectively obtained. A third mapping indicating relationships between the one or more UI elements in the second version of the application and one or more UI elements in a second version of the RPA code corresponding to the second version of the application is determined and based on which the second version of the RPA code corresponding to the second version of the application is generated.

Abstract: Methods, systems and computer program products for providing automated robotic process automation design generation are provided. Aspects include receiving a set of stored automated sub-processes. Aspects also include receiving a process description document that describes a desired computer automated task (CAT) process. Aspects also include identifying a plurality of candidate sub-processes based on the process description document. Aspects also include identifying at least one matching sub-process based on a comparison of each of the plurality of candidate sub-processes to the set of stored automated sub-processes. The at least one matching sub-process is a stored automated sub-process that exceeds a threshold level of similarity to a candidate sub-process. Aspects also include generating a recommendation to automatically populate a portion of a CAT design file for the desired CAT process based on the at least one matching sub-process.