Abstract: A dog locating device to be worn by a hunting dog is provided. The device includes a back pad having a front end portion and a rear end portion thereof. The device includes an abdomen pad having a front end portion and a rear end portion thereof. The device includes first and second adjustable straps coupled between the front end portion of the back pad and the front end portion of the abdomen pad. The device further includes third and fourth adjustable straps coupled between the rear end portion of the back pad and the rear end portion of the abdomen pad. The device includes a plate that is coupled to the back pad. The device includes a spring member that is coupled to the plate, and a flag mounting bracket that is coupled to the spring member.

Abstract: The present disclosure relates to a method of optimizing cabling of at least one device under test when performing tests on the at least one device under test. At least one device under test with a plurality of connectors is provided. The connectors are capable of supporting different frequencies and/or different signal directions. At least one testing device with a plurality of test ports is provided. The test ports are capable of supporting different frequencies and/or different signal directions. The at least one device under test and the testing device are to be connected with each other via a cabling. The cabling between the at least one device under test and the at least one testing device is optimized by a processing circuit. Further, a system is disclosed.

Abstract: A computer-implemented data processing method includes the steps of: capturing and/or receiving a data set, wherein the data set includes a plurality of data points; reducing a dimensionality of the data set, thereby obtaining an adapted data set having a reduced dimensionality, wherein the adapted data set includes adapted data points, wherein the adapted data points have a predetermined number of latent coordinates, respectively, and wherein the latent coordinates are associated with a latent space; partitioning the latent space into a plurality of latent subspaces; determining at least one representative parameter for the plurality of latent subspaces, respectively, wherein the at least one representative parameter includes additional information on the adapted data points located in the respective latent subspace; and generating joint visualization data based on the adapted data set and based on the representative parameters determined. Further, a measurement system is described.