Abstract: A system and method for joint dynamic interest request forwarding and dynamic cache placement and eviction and provided within the context of the Named Data Networking (NDN) architecture. The system and method employ a virtual control plane that operates on the user demand rate for data objects in the network, and an actual plane that handles Interest Packets and Data Packets. Distributed algorithms within the virtual plane achieve network load balancing through dynamic forwarding and caching, thereby maximizing the user demand rate that the NDN network can satisfy. A method of congestion control is also provided to achieve optimal network fairness using the VIP framework.

Abstract: This invention relates to high tenacity yarn for a tire cord comprising polyethyleneterephthalate multifilament obtained by melting and spinning a resin composition comprising first polyethyleneterephthalate and second polyethyleneterephthalate having different intrinsic viscosities, and a method for preparing the same.

Abstract: Systems and methods are provided an include generating a depth map by performing depth estimation on an image having at least one wall, generating a first edge map that includes a first set of edge lines outlining the at least one wall by performing edge detection on the image, generating a second edge map that includes a second set of edge lines by performing edge detection on the depth map, generating a third edge map by thinning a width of each edge line in the first set of edge lines, generating a fourth edge map by performing a skeletonization function on the depth map, generating a final edge map based on the third edge map and the fourth edge map, generating a colorized image by applying color to the final edge map to paint the at least one wall, and displaying the colorized image on a display.

Abstract: The present disclosure provides pyrimidine dione compounds of Formula I and pharmaceutical compositions thereof, for treating cancer, including solid tumors either-used alone or in combination with other anti-cancer agents.

Abstract: This disclosure describes a test prediction service for predicting needed resources and associated costs for testing projects related to testing of new programs, services, etc., within a service provider network. The test prediction service uses a first machine learning model for predicting “hard costs” using data from a first data source that includes end-to-end test details such as associated resource and infrastructure use (costs) of the service provider network during previous end-to-end testing projects. A second machine learning model is used for predicting “soft costs” using data from a second data source that includes data, e.g., engineering headcount/hours spent developing the end-to-end testing and/or during previous end-to-end testing. The data is used to train the machine learning models. The test prediction service uses the trained machine learning models to generate estimated testing costs of new testing projects when a user enters project attributes for a new testing project.

Abstract: Embodiments of the disclosure are in the field of advanced integrated circuit structure fabrication and, in particular, 10 nanometer node and smaller integrated circuit structure fabrication and the resulting structures. In an example, a method includes forming a plurality of fins and forming a plurality of gate structures over the plurality of fins. A dielectric material structure is formed between adjacent ones of the plurality of gate structures. A portion of a first of the plurality of gate structures is removed to expose a first portion of each of the plurality of fins, and a portion of a second of the plurality of gate structures is removed to expose a second portion of each of the plurality of fins. The exposed first portion of each of the plurality of fins is removed, but the exposed second portion of each of the plurality of fins is not removed.