Abstract: A system and method for real-time transmission of a panoramic video, which propose a new grouping method and bitrate decision method specifically for a panoramic 360-degree video. The grouping method takes into account fields of view of different users, thus effectively reducing the bandwidth consumption of repeated video segments, while ensuring user fairness and making full use of network bandwidth resources when allocating resources. The system and method of the invention can maximize the long-term QoE of users under the condition of limited bandwidth, and avoid the problem that the existing schemes are complex and difficult to meet real-time requirements of users.

Abstract: An information processing system according to an embodiment includes a conversion proxy that is connected to devices corresponding to a plurality of types of unique standards, and further connected to a common platform server that performs data exchange with applications. The conversion proxy includes an acquisition unit that acquires ontology data described with a data structure corresponding to the unique standards, a device management unit that acquires and manages device information that is unique to devices corresponding to the unique standards, and a common exchange unit that creates a resource in which a data structure common to the plurality of types of unique standards and a data exchange interface corresponding to the unique standards are correlated, on the basis of the ontology data and the device information, and performs data exchange with the common platform server using the resource.

Abstract: A learning network includes: a first extraction unit that extracts each feature vector of different pieces of teaching data designated in a support set using a first inception neural network that extracts a feature vector of time-series data by convolution layers with different filter sizes; a second extraction unit that extracts a feature vector of teaching data designated in a query set using a second inception neural network that extracts a feature vector of time-series data by a plurality of convolution layers with different filter sizes; and a learning unit that updates a network parameter of the learning network such that a relative distance between feature vectors of teaching data of the query set and of a positive sample of the support set is small and a relative distance between feature vectors of teaching data of the query set and of a negative sample of the support set is large.

Abstract: A processing device includes: a first processing unit that refers to function data including a labeling function that labels an input dataset or abstain if it cannot label, to output first output data that associates each input dataset with a probability of corresponding to each label from a result of labeling the input dataset by the labeling function; and an identifying unit that identifies an input dataset in which a variation in the probability of corresponding to each label in the first output data satisfies a predetermined condition among the input datasets. A labeling function newly created for the input dataset identified from the first output data by the identifying unit is inserted into the function data.

Abstract: A text data analysis information generation device (1) includes: a dependence relationship tree information generation unit (12) configured to generate dependence relationship tree information that indicates, in a tree structure, a dependence relationship between words in text data to be analyzed; a graph information generation unit (13) configured to extract a subject, a predicate, and an object from the text data based on the generated dependence relationship tree information, and generate graph information that indicates, in a graph structure, triple information of ontology that consists of them; and a hierarchical concept information adding unit (14) configured to extract two suitable components from the text data, acquire broader concept information that is common between the two components, and add the acquired broader concept information to the graph information as a parent node that is common between the two components so as to generate text data analysis information.

Abstract: The present disclosure relates to the field of semiconductor die etching technologies, and discloses a method for enhancing discharge in a magnetized capacitively coupled radio frequency (CCRF) discharge reactor, including: constructing a magnetized CCRF discharge reactor; and adjusting magnetic induction intensity of the magnetized CCRF discharge reactor, to enable the magnetic induction intensity to meet a relation B=(?·mc)/e·frf, where in the formula, B represents the magnetic induction intensity of the magnetized CCRF discharge reactor, ? represents a circumference, mc represents an electron mass, e represents an elementary charge, and frf represents an RF frequency. In the present disclosure, power coupling efficiency can be greatly enhanced, and plasma density can be greatly increased.

Abstract: An ontology mapping system 1 includes: a generation unit 21 that generates non-link training data 31 identifying non-link pairs other than link pairs, from among pairs each associating a node of a first ontology T1 with a node of a second ontology T2 associated by plural link pairs, each associating a node of a first ontology with a node of a second ontology, which is to be mapped to the node of the first ontology, and merges link training data 11 and the non-link training data 31 to generate training data 32; an estimation unit 25 that estimates an expression vector of each node by using a first neural network 33a and a second neural network 33b that have been trained with reference to the training data 32; and a mapping unit 26 that determines, based on a degree of difference between expression vectors of a node of the first ontology and a node of the second ontology, whether or not the nodes are mapped.

Abstract: An information processing system according to an embodiment includes a conversion proxy that is connected to devices corresponding to a plurality of types of unique standards, and further connected to a common platform server that performs data exchange with applications. The conversion proxy includes an acquisition unit that acquires ontology data described with a data structure corresponding to the unique standards, a device management unit that acquires and manages device information that is unique to devices corresponding to the unique standards, and a common exchange unit that creates a resource in which a data structure common to the plurality of types of unique standards and a data exchange interface corresponding to the unique standards are correlated, on the basis of the ontology data and the device information, and performs data exchange with the common platform server using the resource.

Abstract: An ontology creation apparatus according to an embodiment includes: a first selection unit that receives an input operation that is performed based on information that represents definitions of candidate classes of ontology; an acquisition unit that acquires a candidate class of a subject when the selected class is determined as the object, based on information that represents definitions of properties that indicate connection relationships between classes that serve as objects and classes that serve as subjects; a second selection unit that receives an input operation for selecting an instance that belongs to a class of a subject when the selected class is determined as an object, based on the candidate; a relationship setting unit that sets a connection relationship between instances that belong to the selected class and the selected instance; and an output unit that creates and outputs ontology that indicates the selected class, the instance, and the set connection relationship.

Abstract: An information processing apparatus in embodiments includes a feature extraction unit configured to extract a plurality of features from a data group supplied from a device and generate a group of feature vectors obtained by representing the plurality of features with vectors, a hierarchical shaping unit configured to perform clustering according to a distance between feature vectors on the group of feature vectors generated by the feature extraction unit to generate a cluster tree obtained by hierarchizing cluster groups generated by the clustering according to a distance between the clusters, a metadata annotation unit configured to generate a metadata tree, the metadata tree including, for each of the clusters, metadata obtained by annotating a synopsis obtained by summarizing information under each of the clusters, based on the cluster tree generated by the hierarchical shaping unit, and a metadata search unit configured to search the metadata tree generated by the metadata annotation unit for metadata of