Abstract: A detection method implemented by a computer, the detection method includes: acquiring voice information containing voices of a plurality of speakers; detecting a first speech segment of a first speaker among the plurality of speakers included in the voice information based on a first acoustic feature of the first speaker, the first acoustic feature being obtained by performing a machine learning; and detecting a second speech segment of a second speaker among the plurality of speakers based on a second acoustic feature, the second acoustic feature being an acoustic feature included in the voice information associated with a predetermined time range, the predetermined time range being a time range outside the first speech segment.

Abstract: A relay selection method and apparatus and a system. The method includes: relay equipment broadcasts relay discovery information, the relay discovery information including identifier information (a relay UE ID) of the relay equipment and identifier information (a cell ID) of a serving cell of the relay equipment, so that remote terminal receiving the relay discovery information selects relay equipment according to the relay discovery information or transmits relay information of discovered relay equipment to an eNB, thus the eNB may select relay equipment for the remote terminal. With certain embodiments, the serving cell may learn a cell where a relay to which the terminal accesses is located, so as to perform configuration for the terminal or perform path switching of downlink data.

Abstract: A wireless terminal for a wireless communication, the wireless terminal includes: a memory that includes a buffer configured to store uplink data, wherein the uplink data is configured to be transmitted; and a controller configured to transmit a buffer status report, the buffer status report including a first index, wherein the first index is one of a plurality of buffer status indices and corresponds to a buffer size indicating a size of the uplink data stored in the buffer, wherein the memory is configured to store a buffer status table in which a range from a minimum value of the buffer to a maximum value of the buffer is divided into a plurality of subranges, the plurality of subranges being associated with a part of the plurality of buffer status indices, and a rest of the plurality of buffer status indices are associated with one or more reserved fields.

Abstract: A computer readable network analysis program of performing local modeling analysis of determining an estimated value of a current network quality corresponding to explanatory variable vector in current aggregated data based on a local model including local training data; determining an abnormality in the network based on whether or not a measured value of the current network quality is lower than a threshold; determining whether or not a distribution of the connections having the measured value of the network quality exceeding the threshold is present in a large size; extracting an individual-analysis-target connection group including more than predetermined proportions of connections in the distribution of the connections having the large size; and performing the local modeling analysis to the individual-analysis-target connection group and the remaining connection groups to determine the abnormality in the network.

Abstract: A method implemented by a computer including a plurality of components, each of the plurality of components including a processor configured to output an error notification after detecting an error, the method includes: executing a first processing when the error notification is received from an error detected processor, the first processing including specifying an error component by analyzing error information from the error detected processor; executing a second processing to issue a request for active exchange when another component able to be actively exchanged with the error component exists; executing a third processing to issue instructions in response to detecting that the operating system is alive after the issuing of the request, the instructions including a deletion instruction and an addition instruction, the deletion instruction being configured to execute active deletion processing of the error component, the addition instruction being configured to execute active addition processing of the othe

Abstract: A positive electrode material for a secondary battery, wherein the positive electrode material includes a triclinic crystal structure and is represented by Li4+x(Fe1?zMz)4?0.5x(P2O7)3, where ?0.65?x?0.75, 0.0<z?0.7, and M represents a divalent metal other than Fe.

Abstract: A carbon conductive structure includes: first graphenes of a graphene plug which are stacked in a plurality of layers along a vertical direction; and second graphenes of a graphene wiring line which are stacked in a plurality of layers along the vertical direction, wherein edge portions of the first graphenes and edge portions of the second graphenes are electrically connected to each other.

Abstract: A relaying apparatus includes: a memory; and a processor coupled to the memory and configured to: acquire, from a gateway device, a resource identifier for a network resource provided from a device in a first network to a server in a second network through the gateway device, the resource identifier indicating a location in the second network of the network resource, relate a gateway identifier corresponding to an address of the gateway device included in the resource identifier to the resource identifier, receive, from the server, a request for the network resource to the device, detect, from a correspondence relationship between the gateway identifier and the resource identifier, the resource identifier corresponding to the gateway identifier specified in the request, and relay the request to the device through the gateway device in accordance with the resource identifier that has been detected.

Abstract: A task deployment method executed by a processor of a task development apparatus, the task development method includes acquiring, at a predetermined interval, a number of processes in a queue that stores the processes executed by a plurality of calculation devices included in at least one of one or more nodes; determining, for each of the plurality of calculation devices, a process execution rate for a new process; calculating, for each of the plurality of calculation devices, an execution completion point for the new process based on the acquired number of processes in the queue and the determined process execution rate for each of the respective calculation devices; and determining, from among the plurality of calculation devices, a calculation device to execute the new process based on the calculated execution completion point for each of the plurality of calculation devices.

Abstract: A method of collecting and organizing online resources may include selecting an item from an electronic document. The method may include extracting data related to the item from the electronic document. The method may include identifying whether a first list that includes the item is associated with the electronic document. The method may include refining the first list in response to an identification of the first list. The method may include generating a second list that includes the item in response to a failure to identify the first list. The method may include verifying that the first list is consistent with a user interest. The method may include saving the first list to an electronic data storage device when the first list is consistent with the user interest. The method may include selecting a second item when the first list is inconsistent with the user interest.

Abstract: An optical system including a ROADM including previously in-service channels; a SDN computing module in communication with the ROADM over a DCN, the SDN computing module providing an instruction to place in-service an additional channel at the ROADM; an optical controller included by the ROADM and configured to, in response to the instruction to place in-service the additional channel at the ROADM: obtain optical power targets for each in-service channel including the previously in-service channels and the additional in-service channel; equalize a transmit power for each in-service channel of the ROADM, including: identify the transmit power of each in-service channel; transition each in-service channel to a power mode; adjust the transmit power of each in-service channel based on, for each in-service channel, the optical power target for the in-service channel and the identified transmit power for the in-service channel; and transition each in-service channel to a steady state mode.

Abstract: Embodiments include a system for reconciling input datasets with a model ontology, the system comprising a processor coupled to a memory, to execute: a model ontology storage process, storing a model ontology graph defining a concept hierarchy, the concept hierarchy comprising nodes at various levels. The processor and memory further to execute: a user interface process, receiving, via a user interface, user input assignments of nodes from upper levels of the concept hierarchy to input datasets with particular properties from among the lower level nodes. The processor and memory further to execute an input dataset reconciliation process using the concept hierarchy and a record of historical user input assignments to determine which higher level nodes to assign to a new input dataset, based on the lower level nodes represented in the new input dataset.

Abstract: An information processing apparatus detects a focus on an input area of a display unit associated with a plurality of input units. The information processing apparatus receives sensor information output from a terminal held by a user. In a case where the terminal is identified by the received sensor information, the information processing apparatus associates the terminal with the input unit to be used to perform an input to the input area of the detected focus. Then, when acquiring the input to the focus from the input unit, the information processing apparatus transmits the acquired input to the terminal associated with the input unit.

Abstract: A peak suppression circuit includes a memory, and a processor coupled to the memory and the processor configured to suppress a first peak of a transmission signal according to a first sampling signal having a predetermined period, delay the transmission signal where the first peak is suppressed by a predetermined time corresponding to a period shorter than the predetermined period, and suppress a second peak of the delayed transmission signal according to a second sampling signal having the predetermined period.

Abstract: A mask is selected amongst a plurality of masks. A first masked random number is generated by converting a first random number using the selected mask, and a first key is generated from the first masked random number and a first biometric code generated from biometric information. In addition, mask information indicating the selected mask is stored. A second masked random number is generated by converting a second random number using the selected mask or a different mask having a predetermined relationship with the selected mask, and a second key is generated from the second masked random number and a second biometric code. A ciphertext is generated using one of the first key and the second key and an error-correction encoding method.

Abstract: A method may include obtaining context data describing a context of a user of an electronic device and transmitting the context data to a back-end device. The method may also include receiving instructions from the back-end device, the instructions directing the electronic device to dynamically generate a single user interface including interactive content from a plurality of related resources, the plurality of related resources determined by the back-end device to be related to each other and to the context of the user, features of the interactive dynamic content extracted by the back-end device. The method may additionally include dynamically generating the single user interface, and displaying the single user interface to the user of the electronic device.

Abstract: An apparatus selects services to be used by a user from a plurality of candidates for services used to execute a program. The apparatus acquires a constraint condition and the program. When executing the acquired program, the apparatus specifies a set of services satisfying the constraint condition from the plurality of candidates based on a code pattern included in the program, and uses the specified set of services to execute the program.

Abstract: Disclosed are a method and apparatus for training a classification model and a method and apparatus for classifying. A method for classifying comprises: extracting a feature from to-be-tested information inputted to a classification model having been trained; compressing the extracted feature into a low dimensional hidden feature capable of representing the to-be-tested information; performing decompression on the hidden feature to obtain a decompressed feature; performing rebuilding on the to-be-tested information based on the decompressed feature, to obtain reconstructed to-be-tested information; judging, based on a rebuild loss between the to-be-tested information and the reconstructed to-be-tested information, whether the to-be-tested information belongs to a known class or an unknown class; and performing classification on the to-be-tested information, via the classification model having been trained, in a case where it is determined that the to-be-tested information belongs to a known class.

Abstract: An apparatus includes a memory, a memory controller, arithmetic processors, and access circuits corresponding to the arithmetic processors. The memory controller controls a load instruction that reads, from the memory, data to be obtained by the arithmetic processors. The access circuit generates divided instructions by dividing a multicast load instruction, and selects, for each divided instruction, a first access circuit that issues, to the memory controller, a read request for causing the target access circuits to perform responses to the target access arithmetic processors. The first access circuit determines first identification information common to all the target access circuits, and issues, to the memory controller, a single read request to which the first identification information is added, and obtains, from the memory controller, responses to which the first identification information is added, and outputs first data based on the obtained responses to the target arithmetic processors.

Abstract: A system for in-service defragmentation may identify optical signals having wavelengths within a first predefined optical wavelength band for transition from a current channel to an alternate channel within the first band and may determine directions and amounts by which to move the wavelengths. The identified wavelengths in the first band may be slowly and deliberately drifted by the determined amounts, using multiple incremental adjustments, and converted to corresponding wavelengths in a second predefined optical wavelength band for transmission. During the transitions, the drifting optical signals in the second band may be combined with optical signals remaining in their current channels in the first band for transmission. Once the wavelength transitions are complete, the transitioned optical signals may be transmitted on their alternate channels in the first band. Collections of wavelength transitions that do not cross each other may be identified and may be performed substantially in parallel.