Abstract: A speaker system can include a first moving mass, such as a diaphragm, coupled to a fixed frame via a first non-rigid suspension and coupled to a voice coil. The speaker system can include a second moving mass, such as a motor assembly, coupled to the fixed frame. The speaker system can include a passive radiator coupled to the fixed frame via a second non-rigid suspension. The motor assembly and the diaphragm are configured to move in response to an audio drive signal, causing a pressure to be generated and a first force to be generated on the fixed frame. The fixed frame is configured so that the pressure is shunted to the first passive radiator that is configured to generate a second force in response to the shunted pressure causing a second force on the fixed frame that cancels at least a portion of the first force.

Abstract: A switch may include one or more input ports, a forwarder, a virtualizer and one or more control units. The switch may receive a data packet at an input port and the forwarder may send the data packet to the virtualizer. The virtualizer may convert the data packet into a PCIe signal and may transmit the PCIe signal to the one or more control units.

Abstract: Described herein are photopolymerizable compositions for use in 3D printing. The compositions contain highly crosslinkable acrylate monomers, oligomers comprising a polyether acrylate oligomer, a polyester oligomer, an unsaturated polyester oligomer, or a combination thereof and a photoinitiator. The compositions, after photopolymerization, have a high heat deflection temperature, while maintaining strong mechanical properties. Also described are methods for fabricating three dimensional objects utilizing these compositions, and three dimensional objects made from these compositions.

Abstract: A transient multi-tone test signal is generated to detect piano noise distortion played back by a speaker. The test signal has a number, such as three, formant tones resembling a piano chord and selectable such that the frequencies and harmonics remain distributed in frequency. The test signal provides a basis for defining normal speaker operating performance and allows a user to define speaker responses that fall outside of normal boundaries by highlighting piano noise distortion detected during speaker playback of the test signal.

Abstract: A speaker system can include a first moving mass, such as a diaphragm, coupled to a fixed frame via a first non-rigid suspension and coupled to a voice coil. The speaker system can include a second moving mass, such as a motor assembly, coupled to the fixed frame. The speaker system can include a passive radiator coupled to the fixed frame via a second non-rigid suspension. The motor assembly and the diaphragm are configured to move in response to an audio drive signal, causing a pressure to be generated and a first force to be generated on the fixed frame. The fixed frame is configured so that the pressure is shunted to the first passive radiator that is configured to generate a second force in response to the shunted pressure causing a second force on the fixed frame that cancels at least a portion of the first force.

Abstract: Techniques are disclosed relating to providing data views from a time-series data lake to a data warehousing system. In various embodiments, the disclosed techniques include providing, by a cloud-based service, a data lake service that maintains a time-series data lake storing a time-series representation of data from a plurality of data sources associated with a first organization. In some embodiments, the cloud-based service may receive additional backup data, including a first backup image of a first data source, associated with the first organization as part of a backup operation. The cloud-based service may then store a logical backup of the first data source in the data lake and, in response to a query from a data warehousing system, the cloud-based service may retrieve a particular view of the backup data from the data lake and provide it to the data warehousing system.

Abstract: An AC motor, and method of operation, including a synchronous motor with a magnetic rotor, and a stator positioned at a fixed distance from the magnetic rotor. A no-back mechanism is configured to oscillate when the synchronous motor is rotating in a desired direction, and the no-back component is configured to move to a stopping position when the synchronous motor is rotating in an undesired direction.

Abstract: Described herein are photopolymerizable compositions for use in 3D printing. The compositions contain dipropylene glycol diacrylate and one or more urethane acrylate oligomers, optionally with a photoinitiator. Also described are methods for fabricating three dimensional objects utilizing these compositions, and three dimensional objects made from these compositions.

Abstract: Techniques are disclosed relating to the storage of backup data using a time-series data lake. For example, in various embodiments, the disclosed techniques include providing a cloud-based data lake service that maintains data for a plurality of organizations and where, for a first organization, the cloud-based data lake service maintains a time-series data lake that stores a time-series representation of data associated with the first organization. In various embodiments, the data lake service may receive backup data from a plurality of data sources associated with the first organization, generate metadata associated with the backup data, and store the backup data, along with the corresponding metadata, in the time-series data lake.

Abstract: A transient multi-tone test signal is generated to detect piano noise distortion played back by a speaker. The test signal has a number, such as three, formant tones resembling a piano chord and selectable such that the frequencies and harmonics remain distributed in frequency. The test signal provides a basis for defining normal speaker operating performance and allows a user to define speaker responses that fall outside of normal boundaries by highlighting piano noise distortion detected during speaker playback of the test signal.

Abstract: Techniques are disclosed relating to the modification of data in a time-series data lake. For example, in various embodiments, the disclosed techniques include a cloud-based service that maintains a time-series data lake that includes, for an organization, a time-series representation of data from one or more of the organization's data sources. The cloud-based service may receive a request to modify data associated with a particular user of the organization. As a non-limiting example, this request may correspond to a “Right to Be Forgotten” request from the particular user. This request may include one or more search parameters and an indication of one or more modifications to be performed. Based on the request, the cloud-based service may parse the time-series data lake to identify a subset of data that matches the one or more search parameters and perform the requested modifications on the subset of data in the time-series data lake.

Abstract: A cloud-based data protection service is disclosed. In an embodiment, the data protection service may support backup of data sets from one or more sites associated with one or more organizations. In an embodiment, deduplication of backup data across multiple sites of an organization and/or multiple sites associated with different organizations may be supported. In an embodiment, backup data may be post-processed in the cloud to insert fingerprints corresponding to data blocks that did not change since a previous backup was performed, to scan the backup for security threats such as viruses, other malware, personally identifiable information, etc. In an embodiment, restore may be supported from the cloud, where restore blocks may be larger than backup data blocks. In another embodiment, restore may be based on blocks that have changed since the most recent backup (or a user-selected backup).

Abstract: Techniques are disclosed relating to the retrieval of data from a time-series data lake. For example, in various embodiments, the disclosed techniques include providing, by a cloud-based service, a data lake service that maintains data for a plurality of organizations and where, for a first organization, the data lake service maintains a time-series data lake that stores a time-series representation of backup data associated with the first organization. The cloud-based service may receive a request, including one or more search criteria, for data associated with the first organization and, based on the search criteria, retrieve a particular view of the backup data that is stored in the data lake. In various embodiments, the particular view may include backup data from various different data sources and from various different points in time. The cloud-based service may then provide the particular view of the backup data to the requesting entity.

Abstract: Techniques are disclosed relating to providing data views from a time-series data lake to a data warehousing system. In various embodiments, the disclosed techniques include providing, by a cloud-based service, a data lake service that maintains a time-series data lake storing a time-series representation of data from a plurality of data sources associated with a first organization. In some embodiments, the cloud-based service may receive additional backup data, including a first backup image of a first data source, associated with the first organization as part of a backup operation. The cloud-based service may then store a logical backup of the first data source in the data lake and, in response to a query from a data warehousing system, the cloud-based service may retrieve a particular view of the backup data from the data lake and provide it to the data warehousing system.

Abstract: Techniques are disclosed relating to the modification of data in a time-series data lake. For example, in various embodiments, the disclosed techniques include a cloud-based service that maintains a time-series data lake that includes, for an organization, a time-series representation of data from one or more of the organization's data sources. The cloud-based service may receive a request to modify data associated with a particular user of the organization. As a non-limiting example, this request may correspond to a “Right to Be Forgotten” request from the particular user. This request may include one or more search parameters and an indication of one or more modifications to be performed. Based on the request, the cloud-based service may parse the time-series data lake to identify a subset of data that matches the one or more search parameters and perform the requested modifications on the subset of data in the time-series data lake.

Abstract: Techniques are disclosed relating to the storage of backup data using a time-series data lake. For example, in various embodiments, the disclosed techniques include providing a cloud-based data lake service that maintains data for a plurality of organizations and where, for a first organization, the cloud-based data lake service maintains a time-series data lake that stores a time-series representation of data associated with the first organization. In various embodiments, the data lake service may receive backup data from a plurality of data sources associated with the first organization, generate metadata associated with the backup data, and store the backup data, along with the corresponding metadata, in the time-series data lake.

Abstract: Techniques are disclosed relating to data preservation using a time-series data lake. For example, in some embodiments, the disclosed techniques include maintaining, by a cloud-based service, a time-series data lake that includes, for an organization, a time-series representation of a plurality of data sources associated with the organization. In various embodiments, the time-series data lake retains data according to a first retention policy. In response to a request for a subset of data that is associated with the organization, the cloud-based service may retrieve the subset of data from the time-series data lake and then store the subset of data in a particular storage location that retains data according to a second, different retention policy.

Abstract: Systems, methods, and devices relating to the facilitation of interactions between consumer users and supplier users. Consumer users with a need for specialized expertise enter a query on their computing device. This query is communicated to a server which searches its database for supplier users who have specialized expertise which may address the consumer user's query. A list of such supplier users is compiled by the server and this list is sent to the consumer user. The consumer user then selects one or more of these supplier users and the server activates one or more communications modules which allows the consumer user to interact with the selected supplier user. The interaction between the consumer user and the supplier user is timed by the server and the length of the interaction is stored and reported to both users.

Abstract: A cloud-based data protection service is disclosed. In an embodiment, the data protection service may support backup of data sets from one or more sites associated with one or more organizations. In an embodiment, deduplication of backup data across multiple sites of an organization and/or multiple sites associated with different organizations may be supported. In an embodiment, backup data may be post-processed in the cloud to insert fingerprints corresponding to data blocks that did not change since a previous backup was performed, to scan the backup for security threats such as viruses, other malware, personally identifiable information, etc. In an embodiment, restore may be supported from the cloud, where restore blocks may be larger than backup data blocks. In another embodiment, restore may be based on blocks that have changed since the most recent backup (or a user-selected backup).

Abstract: A cloud-based data protection service is disclosed. In an embodiment, the data protection service may support backup of data sets from one or more sites associated with one or more organizations. In an embodiment, deduplication of backup data across multiple sites of an organization and/or multiple sites associated with different organizations may be supported. In an embodiment, backup data may be post-processed in the cloud to insert fingerprints corresponding to data blocks that did not change since a previous backup was performed, to scan the backup for security threats such as viruses, other malware, personally identifiable information, etc. In an embodiment, restore may be supported from the cloud, where restore blocks may be larger than backup data blocks. In another embodiment, restore may be based on blocks that have changed since the most recent backup (or a user-selected backup).