Abstract: In some implementations, a device may determine one or more parameters for filtering network traffic of a network that includes a plurality of virtual packet brokers provided for a plurality of cloud random access networks and a plurality of traffic aggregation points. The device may provide the one or more parameters to the plurality of virtual packet brokers, to cause the plurality of virtual packet brokers to filter the network traffic to obtain network visibility traffic. The device may receive, from one or more probes of a session aggregation point of the network, one or more metrics calculated based on the network visibility traffic by the plurality of virtual packet brokers. The device may determine one or more actions to be implemented based on the one or more metrics. The device may cause the one or more actions to be implemented in the network.

Abstract: A method, a device, and a non-transitory storage medium are described in which a remote probing for failover service is provided. The remote probing for failover service includes receiving, by a network device at a standby location associated with a geographic redundancy, failover traffic, which originates at a primary location of a network. The network device routes the failover traffic back to a corresponding network device at the primary location. The network device at the primary location may provide the failover traffic to a network performance analyzer device at the primary location.

Abstract: In some implementations, a device may determine one or more parameters for filtering network traffic of a network that includes a plurality of virtual packet brokers provided for a plurality of cloud random access networks and a plurality of traffic aggregation points. The device may provide the one or more parameters to the plurality of virtual packet brokers, to cause the plurality of virtual packet brokers to filter the network traffic to obtain network visibility traffic. The device may receive, from one or more probes of a session aggregation point of the network, one or more metrics calculated based on the network visibility traffic by the plurality of virtual packet brokers. The device may determine one or more actions to be implemented based on the one or more metrics. The device may cause the one or more actions to be implemented in the network.

Abstract: In some implementations, a device may determine one or more parameters for filtering network traffic of a network that includes a plurality of virtual packet brokers provided for a plurality of cloud random access networks and a plurality of traffic aggregation points. The device may provide the one or more parameters to the plurality of virtual packet brokers, to cause the plurality of virtual packet brokers to filter the network traffic to obtain network visibility traffic. The device may receive, from one or more probes of a session aggregation point of the network, one or more metrics calculated based on the network visibility traffic by the plurality of virtual packet brokers. The device may determine one or more actions to be implemented based on the one or more metrics. The device may cause the one or more actions to be implemented in the network.

Abstract: A photo acoustic non-destructive measurement apparatus and method for quantitatively measuring texture of a liquid. The apparatus includes a laser generating tool, an acoustic capturing device, and a data processing unit. The laser generating tool directs a laser towards a surface of a liquid contained in a container and creates pressure waves that propagate through the air and produce an acoustic signal. The acoustic capturing device records and forwards the signal to a data processing unit. The data processing unit further comprises a digital signal processing module that processes the received acoustic signal. A statistical processing module further filters the acoustic signal from the data processing unit and generates a quantitative acoustic model for texture attributes such as hardness and fracturability. The quantitative model is correlated with a qualitative texture measurement from a descriptive expert panel. Textures of liquids are quantitatively measured with the quantitative acoustic model.

Abstract: A method, a device, and a non-transitory storage medium are described in which a remote probing for failover service is provided. The remote probing for failover service includes receiving, by a network device at a standby location associated with a geographic redundancy, failover traffic, which originates at a primary location of a network. The network device routes the failover traffic back to a corresponding network device at the primary location. The network device at the primary location may provide the failover traffic to a network performance analyzer device at the primary location.

Abstract: A photo acoustic non-destructive measurement apparatus and method for quantitatively measuring texture of a food snack is disclosed. The apparatus includes a laser generating tool, an acoustic capturing device, and a data processing unit. The laser generating tool directs a laser towards a food snack placed on a surface and creates pressure waves that propagate through the air and produce an acoustic signal. The acoustic capturing device records and forwards the signal to a data processing unit. The data processing unit further comprises a digital signal processing module that processes the received acoustic signal. A statistical processing module further filters the acoustic signal from the data processing unit and generates a quantitative acoustic model for texture attributes such as hardness and fracturability. The quantitative model is correlated with a qualitative texture measurement from a descriptive expert panel. Texture of food snacks are quantitatively measured with the quantitative acoustic model.

Abstract: A feedback and feedforward as well as a statistical predictive control system and method for continuously controlling texture of a food snack in a manufacturing process. The feedback system includes a quantitative texture measuring tool that is positioned downstream of a food processing unit. The texture measuring tool continuously measures a texture attribute of food snack from the food processing unit and feeds back texture attribute information to a controller that controls input parameters to food processing unit such that the texture attribute of a resultant food snack falls within an acceptable limit. The texture measuring tool comprises an excitation tool that strikes the food snack and produces an acoustic signal that is processed by a data processing unit. The data processing unit identifies relevant frequencies in the acoustic signal and quantitatively measures a texture attribute based on a correlated model that includes the relevant frequencies.

Abstract: A photo acoustic non-destructive measurement apparatus and method for quantitatively measuring texture of a liquid. The apparatus includes a laser generating tool, an acoustic capturing device, and a data processing unit. The laser generating tool directs a laser towards a surface of a liquid contained in a container and creates pressure waves that propagate through the air and produce an acoustic signal. The acoustic capturing device records and forwards the signal to a data processing unit. The data processing unit further comprises a digital signal processing module that processes the received acoustic signal. A statistical processing module further filters the acoustic signal from the data processing unit and generates a quantitative acoustic model for texture attributes such as hardness and fracturability. The quantitative model is correlated with a qualitative texture measurement from a descriptive expert panel. Textures of liquids are quantitatively measured with the quantitative acoustic model.

Abstract: A photo acoustic non-destructive measurement apparatus and method for quantitatively measuring texture of a liquid. The apparatus includes a laser generating tool, an acoustic capturing device, and a data processing unit. The laser generating tool directs a laser towards a surface of a liquid contained in a container and creates pressure waves that propagate through the air and produce an acoustic signal. The acoustic capturing device records and forwards the signal to a data processing unit. The data processing unit further comprises a digital signal processing module that processes the received acoustic signal. A statistical processing module further filters the acoustic signal from the data processing unit and generates a quantitative acoustic model for texture attributes such as hardness and fracturability. The quantitative model is correlated with a qualitative texture measurement from a descriptive expert panel. Textures of liquids are quantitatively measured with the quantitative acoustic model.

Abstract: A non-destructive measurement apparatus and method for quantitatively measuring texture of a food snack is disclosed. The apparatus includes a laser generating tool, an ultrasound excitation device, an acoustic capturing device, an ultrasound capturing device and a data processing unit. The laser generating tool and the ultrasound excitation tool direct energy towards a food snack placed on a surface and produce an acoustic signal and an ultrasound signal. The data processing unit further comprises a digital signal processing module that processes the received acoustic signal and ultrasound signal. A statistical processing module further filters the acoustic signal from the data processing unit and generates a quantitative acoustic model for texture attributes such as hardness and fracturability. The quantitative model is correlated with a qualitative texture measurement from a descriptive expert panel. Texture of food snacks are quantitatively measured with the quantitative acoustic model.

Abstract: A fryer system and method for producing fried food pieces are disclosed herein. A fryer, located in a frying region of the fryer system, produces fried food pieces. An adjustable draining device, located in a draining region of the fryer system, is downstream from the frying region and controls a residence time of the fried food pieces in the draining region. A set of takeout conveyors bridges the frying region and the draining region and reduces a bed depth of the fried food pieces as the set of takeout conveyors transfers the fried food pieces from the fryer to the draining device. An enclosure at least partially encloses the frying region and the draining region to maintain a controlled environment within the draining region.

Abstract: A photo acoustic non-destructive measurement apparatus and method for quantitatively measuring texture of a liquid. The apparatus includes a laser generating tool, an acoustic capturing device, and a data processing unit. The laser generating tool directs a laser towards a surface of a liquid contained in a container and creates pressure waves that propagate through the air and produce an acoustic signal. The acoustic capturing device records and forwards the signal to a data processing unit. The data processing unit further comprises a digital signal processing module that processes the received acoustic signal. A statistical processing module further filters the acoustic signal from the data processing unit and generates a quantitative acoustic model for texture attributes such as hardness and fracturability. The quantitative model is correlated with a qualitative texture measurement from a descriptive expert panel. Textures of liquids are quantitatively measured with the quantitative acoustic model.

Abstract: A photo acoustic non-destructive measurement apparatus and method for quantitatively measuring texture of a food snack is disclosed. The apparatus includes a laser generating tool, an acoustic capturing device, and a data processing unit. The laser generating tool directs a laser towards a food snack placed on a surface and creates pressure waves that propagate through the air and produce an acoustic signal. The acoustic capturing device records and forwards the signal to a data processing unit. The data processing unit further comprises a digital signal processing module that processes the received acoustic signal. A statistical processing module further filters the acoustic signal from the data processing unit and generates a quantitative acoustic model for texture attributes such as hardness and fracturability. The quantitative model is correlated with a qualitative texture measurement from a descriptive expert panel. Texture of food snacks are quantitatively measured with the quantitative acoustic model.

Abstract: A photo acoustic non-destructive measurement apparatus and method for quantitatively measuring texture of a liquid. The apparatus includes a laser generating tool, an acoustic capturing device, and a data processing unit. The laser generating tool directs a laser towards a surface of a liquid contained in a container and creates pressure waves that propagate through the air and produce an acoustic signal. The acoustic capturing device records and forwards the signal to a data processing unit. The data processing unit further comprises a digital signal processing module that processes the received acoustic signal. A statistical processing module further filters the acoustic signal from the data processing unit and generates a quantitative acoustic model for texture attributes such as hardness and fracturability. The quantitative model is correlated with a qualitative texture measurement from a descriptive expert panel. Textures of liquids are quantitatively measured with the quantitative acoustic model.

Abstract: A photo acoustic non-destructive measurement apparatus and method for quantitatively measuring texture of a food snack is disclosed. The apparatus includes a laser generating tool, an acoustic capturing device, and a data processing unit. The laser generating tool directs a laser towards a food snack placed on a surface and creates pressure waves that propagate through the air and produce an acoustic signal. The acoustic capturing device records and forwards the signal to a data processing unit. The data processing unit further comprises a digital signal processing module that processes the received acoustic signal. A statistical processing module further filters the acoustic signal from the data processing unit and generates a quantitative acoustic model for texture attributes such as hardness and fracturability. The quantitative model is correlated with a qualitative texture measurement from a descriptive expert panel. Texture of food snacks are quantitatively measured with the quantitative acoustic model.

Abstract: A feedback and feedforward as well as a statistical predictive control system and method for continuously controlling texture of a food snack in a manufacturing process. The feedback system includes a quantitative texture measuring tool that is positioned downstream of a food processing unit. The texture measuring tool continuously measures a texture attribute of food snack from the food processing unit and feeds back texture attribute information to a controller that controls input parameters to food processing unit such that the texture attribute of a resultant food snack falls within an acceptable limit. The texture measuring tool comprises an excitation tool that strikes the food snack and produces an acoustic signal that is processed by a data processing unit. The data processing unit identifies relevant frequencies in the acoustic signal and quantitatively measures a texture attribute based on a correlated model that includes the relevant frequencies.

Abstract: A photo acoustic non-destructive measurement apparatus and method for quantitatively measuring texture of a food snack is disclosed. The apparatus includes a laser generating tool, an acoustic capturing device, and a data processing unit. The laser generating tool directs a laser towards a food snack placed on a surface and creates pressure waves that propagate through the air and produce an acoustic signal. The acoustic capturing device records and forwards the signal to a data processing unit. The data processing unit further comprises a digital signal processing module that processes the received acoustic signal. A statistical processing module further filters the acoustic signal from the data processing unit and generates a quantitative acoustic model for texture attributes such as hardness and fracturability. The quantitative model is correlated with a qualitative texture measurement from a descriptive expert panel. Texture of food snacks are quantitatively measured with the quantitative acoustic model.

Abstract: A fryer system and method for producing fried food pieces are disclosed herein. A fryer, located in a frying region of the fryer system, produces fried food pieces. An adjustable draining device, located in a draining region of the fryer system, is downstream from the frying region and controls a residence time of the fried food pieces in the draining region. A set of takeout conveyors bridges the frying region and the draining region and reduces a bed depth of the fried food pieces as the set of takeout conveyors transfers the fried food pieces from the fryer to the draining device. An enclosure at least partially encloses the frying region and the draining region to maintain a controlled environment within the draining region.

Abstract: A non-destructive measurement apparatus and method for quantitatively measuring texture of a food snack is disclosed. The apparatus includes a laser generating tool, an ultrasound excitation device, an acoustic capturing device, an ultrasound capturing device and a data processing unit. The laser generating tool and the ultrasound excitation tool direct energy towards a food snack placed on a surface and produce an acoustic signal and an ultrasound signal. The data processing unit further comprises a digital signal processing module that processes the received acoustic signal and ultrasound signal. A statistical processing module further filters the acoustic signal from the data processing unit and generates a quantitative acoustic model for texture attributes such as hardness and fracturability. The quantitative model is correlated with a qualitative texture measurement from a descriptive expert panel. Texture of food snacks are quantitatively measured with the quantitative acoustic model.