Friday, October 20, 2017

System and methods for UICC-based secure communication

System and methods for UICC-based secure communication US 9461993 B2
System and methods for uicc-based secure communication US 20150222631 A1

ABSTRACT
A system that incorporates the subject disclosure may include, for example, instructions which when executed cause a device processor to perform operations comprising sending a service request to a remote management server; receiving from the management server an authentication management function and an encryption key generator for execution by a secure element and an encryption engine for execution by a secure device processor, sending a request to establish a communication session with a remote device; and communicating with the remote device via a channel established using an application server. The secure element and the secure device processor authenticate each other using a mutual authentication keyset. The secure element, the secure device processor and the device processor each have a security level associated therewith; the security level associated with the secure device processor is intermediate between that of the secure element and that of the device processor. Other embodiments are disclosed.

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Monday, October 16, 2017

Rate Image Aesthetics and Composition

Aesthetic Rating for Photos

The developed engine gets the image and outputs a score showing the amount of the beauty inside the image! The code is also working on Android/iOS platform. The engine speed is good enough which makes it suitable for a real-time engine. The core computes aesthetic features from the image, and estimates the aesthetic score. Check out > ACQUINE

The contributors: Jia Li, James Wang, Farshid Farhat.

Computer VisionDemoDevelopmentiOSResearch and tagged 

Tuesday, October 10, 2017

Contention-Aware Game-theoretic Model for Heterogeneous Resource Assignment

CAGE: A Contention-Aware Game-theoretic Model for Heterogeneous Resource Assignment


Traditional resource management systems rely on a centralized approach to manage users running on each resource. The centralized resource management system is not scalable for large-scale servers as the number of users running on shared resources is increasing dramatically and the centralized manager may not have enough information about applications' need. In this paper we propose a distributed game-theoretic resource management approach using market auction mechanism to find optimal strategy in a resource competition game. The applications learn through repeated interactions to choose their action on choosing the shared resources. Specifically, we look into two case studies of cache competition game and main processor and co-processor congestion game. We enforce costs for each resource and derive bidding strategy. Accurate evaluation of the proposed approach show that our distributed allocation is scalable and outperforms the static and traditional approaches.

Draft > CAGE