Abstract: Described herein are systems and methods for work from home solutions according to various embodiments of the invention. These solutions accurately diagnose connectivity issue locations and severity from any, some, or all points in a network framework. Embodiments of these solutions may also use artificial intelligence and machine learning to process customer quality-of-experience (QoE) feedback and other relevant indicators. The solutions may improve network connectivity based on these measurements and processes.

Abstract: A device for laser projection comprises a first laser diode configured to emit a first linearly polarized laser beam extending along a first polarization axis and a second laser diode configured to emit a second linearly polarized laser beam extending along a second polarization axis that is perpendicular to the first polarization axis. A polarization combiner is configured to combine the first and second linearly polarizing laser beams into a combined laser beam, wherein the combined laser beam comprises one of: (1) circular polarization; and (2) elliptical polarization. A measuring device is configured to measure an intensity of the combined laser beam. A control unit is configured to receive the measured intensity of the combined laser beam and is further configured to adjust an intensity of at least one of: (1) the first laser diode; and (2) the second laser diode.

Abstract: In accordance with embodiments disclosed herein, there are provided methods, systems, mechanisms, techniques, and apparatuses for traffic aggregation on multiple Wide Area Network (WAN) backhauls and multiple distinct Local Area Network (LAN) networks; for traffic load balancing on multiple WAN backhauls and multiple distinct LAN networks; and for performing self-healing operations utilizing multiple WAN backhauls serving multiple distinct LAN networks.

Abstract: Described herein are systems and methods for work from home solutions according to various embodiments of the invention. These solutions accurately diagnose connectivity issue locations and severity from any, some, or all points in a network framework. Embodiments of these solutions may also use artificial intelligence and machine learning to process customer quality-of-experience (QoE) feedback and other relevant indicators. The solutions may improve network connectivity based on these measurements and processes.

Abstract: Presented are Ergodic Spectrum Management (ESM) systems and methods that take advantage of the presence of statistical consistencies (“ergodicity”) and correlations, such as a wireless network's average dimensional consistencies of probability distributions (in time, space, and frequency) of channel gains, to adaptively learn qualitative and quantitative network/user behavior; estimate or predict network performance; and guide locally implemented radio resource management (RRM) decisions of wireless multi-user transmissions in a manner such as to reduce interference and improve latency; connection stability; efficiency; and overall wireless performance. ESM also enhances end-users' Quality of Experience (QoE) by allowing movement across bands and regions as users/devices roam. A remote-cloud-based resource management implementation of ESM' s Learn-ed Resource Managers (LRMs) removes the need for heavy edge-computing close to radio cells.

Abstract: In accordance with embodiments disclosed herein, there are provided methods, systems, mechanisms, techniques, and apparatuses for traffic aggregation on multiple Wide Area Network (WAN) backhauls and multiple distinct Local Area Network (LAN) networks; for traffic load balancing on multiple WAN backhauls and multiple distinct LAN networks; and for performing self-healing operations utilizing multiple WAN backhauls serving multiple distinct LAN networks.

Abstract: Presented are Ergodic Spectrum Management (ESM) systems and methods that take advantage of the presence of statistical consistencies (“ergodicity”) and correlations, such as a wireless network's average dimensional consistencies of probability distributions (in time, space, and frequency) of channel gains, to adaptively learn qualitative and quantitative network/user behavior; estimate or predict network performance; and guide locally implemented radio resource management (RRM) decisions of wireless multi-user transmissions in a manner such as to reduce interference and improve latency; connection stability; efficiency; and overall wireless performance. ESM also enhances end-users' Quality of Experience (QoE) by allowing movement across bands and regions as users/devices roam. A remote-cloud-based resource management implementation of ESM's Learn-ed Resource Managers (LRMs) removes the need for heavy edge-computing close to radio cells.

Abstract: Described herein are systems and methods for work from home solutions according to various embodiments of the invention. These solutions accurately diagnose connectivity issue locations and severity from any, some, or all points in a network framework. Embodiments of these solutions may also use artificial intelligence and machine learning to process customer quality-of-experience (QoE) feedback and other relevant indicators. The solutions may improve network connectivity based on these measurements and processes.

Abstract: Described are systems and methods for jointly optimizing Wide Area Network (WAN) and Local Area Network (LAN) network communications. In one embodiment, a management device communicatively interfaced with a WAN and a LAN includes a collection module to collect LAN information from the LAN and WAN information from the WAN; an analysis module to jointly analyze the collected WAN information and the collected LAN information to identify an operational condition; and an implementation nodule to initiate a management event responsive to the operational condition being identified. In one embodiment, the management event includes generating and transmitting a diagnostics report responsive to a fault being identified. The management device may further generate and execute instructions to remedy the diagnosed fault.

Abstract: Described herein are systems and methods for work from home solutions according to various embodiments of the invention. These solutions accurately diagnose connectivity issue locations and severity from any, some, or all points in a network framework. Embodiments of these solutions may also use artificial intelligence and machine learning to process customer quality-of-experience (QoE) feedback and other relevant indicators. The solutions may improve network connectivity based on these measurements and processes.

Abstract: In accordance with embodiments disclosed herein, there are provided methods, systems, mechanisms, techniques, and apparatuses for traffic aggregation on multiple WAN backhauls and multiple distinct LAN networks; for traffic load balancing on multiple WAN backhauls and multiple distinct LAN networks; and for performing self-healing operations utilizing multiple WAN backhauls serving multiple distinct LAN networks. For example, in one embodiment, a first Local Area Network (LAN) access device is to establish a first LAN; a second LAN access device is to establish a second LAN; a first Wide Area Network (WAN) backhaul connection is to provide the first LAN access device with WAN connectivity; a second WAN backhaul connection is to provide the second LAN access device with WAN connectivity; and a traffic aggregation unit is to form a logically bonded WAN interface over the first WAN backhaul and the second WAN backhaul. In some embodiments an optional traffic de-aggregation unit may be used.

Abstract: In accordance with embodiments disclosed herein, there are provided methods, systems, mechanisms, techniques, and apparatuses for traffic aggregation on multiple WAN backhauls and multiple distinct LAN networks; for traffic load balancing on multiple WAN backhauls and multiple distinct LAN networks; and for performing self-healing operations utilizing multiple WAN backhauls serving multiple distinct LAN networks. For example, in one embodiment, a first Local Area Network (LAN) access device is to establish a first LAN; a second LAN access device is to establish a second LAN; a first Wide Area Network (WAN) backhaul connection is to provide the first LAN access device with WAN connectivity; a second WAN backhaul connection is to provide the second LAN access device with WAN connectivity; and a traffic aggregation unit is to form a logically bonded WAN interface over the first WAN backhaul and the second WAN backhaul. In some embodiments an optional traffic de-aggregation unit may be used.

Abstract: Described herein are systems and methods for work from home solutions according to various embodiments of the invention. These solutions accurately diagnose connectivity issue locations and severity from any, some, or all points in a network framework. Embodiments of these solutions may also use artificial intelligence and machine learning to process customer quality-of-experience (QoE) feedback and other relevant indicators. The solutions may improve network connectivity based on these measurements and processes.

Abstract: Described are systems and methods for jointly optimizing Wide Area Network (WAN) and Local Area Network (LAN) network communications. In one embodiment, a management device communicatively interfaced with a WAN and a LAN includes a collection module to collect LAN information from the LAN and WAN information from the WAN; an analysis module to jointly analyze the collected WAN information and the collected LAN information to identify an operational condition; and an implementation nodule to initiate a management event responsive to the operational condition being identified. In one embodiment, the management event includes generating and transmitting a diagnostics report responsive to a fault being identified. The management device may further generate and execute instructions to remedy the diagnosed fault.

Abstract: Presented are Ergodic Spectrum Management (ESM) systems and methods that take advantage of the presence of statistical consistencies (“ergodicity”) and correlations, such as a wireless network's average dimensional consistencies of probability distributions (in time, space, and frequency) of channel gains, to adaptively learn qualitative and quantitative network/user behavior; estimate or predict network performance; and guide locally implemented radio resource management (RRM) decisions of wireless multi-user transmissions in a manner such as to reduce interference and improve latency; connection stability; efficiency; and overall wireless performance. ESM also enhances end-users' Quality of Experience (QoE) by allowing movement across bands and regions as users/devices roam. A remote-cloud-based resource management implementation of ESM's Learn-ed Resource Managers (LRMs) removes the need for heavy edge-computing close to radio cells.

Abstract: Described are systems and methods for jointly optimizing Wide Area Network (WAN) and Local Area Network (LAN) network communications. In one embodiment, a management device communicatively interfaced with a WAN and a LAN includes a collection module to collect LAN information from the LAN and WAN information from the WAN; an analysis module to jointly analyze the collected WAN information and the collected LAN information to identify an operational condition; and an implementation module to initiate a management event responsive to the operational condition being identified. In one embodiment, the management event includes generating and transmitting a diagnostics report responsive to a fault being identified. The management device may further generate and execute instructions to remedy the diagnosed fault.

Abstract: In accordance with embodiments disclosed herein, there are provided methods, systems, mechanisms, techniques, and apparatuses for traffic aggregation on multiple WAN backhauls and multiple distinct LAN networks; for traffic load balancing on multiple WAN backhauls and multiple distinct LAN networks; and for performing self-healing operations utilizing multiple WAN backhauls serving multiple distinct LAN networks. For example, in one embodiment, a first Local Area Network (LAN) access device is to establish a first LAN; a second LAN access device is to establish a second LAN; a first Wide Area Network (WAN) backhaul connection is to provide the first LAN access device with WAN connectivity; a second WAN backhaul connection is to provide the second LAN access device with WAN connectivity; and a traffic aggregation unit is to form a logically bonded WAN interface over the first WAN backhaul and the second WAN backhaul. In some embodiments an optional traffic de-aggregation unit may be used.

Abstract: A method of translating a Computer Aided Design CAD model of a product constructed for Computer Aided Engineering CAE analysis into a flexible form, the method comprising: converting the original CAD model into a different format to provide a new-format CAD model; providing visualization data including: an assembly tree extracted from the original CAD model, the assembly tree including each component of the assembly forming the product; and visualization information from the original CAD model for each assembly face in the assembly tree; and providing geometry information including matching information unambiguously identifying each assembly face; wherein the geometry information allows the assembly faces to be matched with the CAD faces in the new-format CAD model.

Abstract: In accordance with embodiments disclosed herein, there are provided methods, systems, mechanisms, techniques, and apparatuses for traffic aggregation on multiple WAN backhauls and multiple distinct LAN networks; for traffic load balancing on multiple WAN backhauls and multiple distinct LAN networks; and for performing self-healing operations utilizing multiple WAN backhauls serving multiple distinct LAN networks. For example, in one embodiment, a first Local Area Network (LAN) access device is to establish a first LAN; a second LAN access device is to establish a second LAN; a first Wide Area Network (WAN) backhaul connection is to provide the first LAN access device with WAN connectivity; a second WAN backhaul connection is to provide the second LAN access device with WAN connectivity; and a traffic aggregation unit is to form a logically bonded WAN interface over the first WAN backhaul and the second WAN backhaul. In some embodiments an optional traffic de-aggregation unit may be used.

Abstract: Described are systems and methods for jointly optimizing Wide Area Network (WAN) and Local Area Network (LAN) network communications. In one embodiment, a management device communicatively interfaced with a WAN and a LAN includes a collection module to collect LAN information from the LAN and WAN information from the WAN; an analysis module to jointly analyze the collected WAN information and the collected LAN information to identify an operational condition; and an implementation module to initiate a management event responsive to the operational condition being identified. In one embodiment, the management event includes generating and transmitting a diagnostics report responsive to a fault being identified. The management device may further generate and execute instructions to remedy the diagnosed fault.