Context-aware Approach for Determining the Threshold Price in Name-Your-Own-Price Channels

Key feature of a context-aware application is the ability to adapt based on the change of context. Two approaches that are widely used in this regard are the context-action pair mapping where developers match an action to execute for a particular context change and the adaptive learning where a context-aware application refines its action over time based on the preceding action’s outcome. Both these approaches have limitation which makes them unsuitable in situations where a context-aware application has to deal with unknown context changes. In this paper we propose a framework where adaptation is carried out via concurrent multi-action evaluation of a dynamically created action space. This dynamic creation of the action space eliminates the need for relying on the developers to create context-action pairs and the concurrent multi-action evaluation reduces the adaptation time as opposed to the iterative approach used by adaptive learning techniques. Using our reference implementation of the framework we show how it could be used to dynamically determine the threshold price in an e-commerce system which uses the name-your-own-price (NYOP) strategy.

Enabling Leg-Based Guidance on Top of Waypoint-Based Autopilots for UAS

This paper presents a methodology to extend the guidance functionalities of Commercial Off-The-Shelf autopilots currently available for Unmanned Aircraft Systems (UAS). Providing that most autopilots only support elemental waypoint-based guidance, this technique allows the aircraft to follow leg-based flight plans without needing to modify the internal control algorithms of the autopilot. It is discussed how to provide Direct to Fix, Track to Fix and Hold to Fix path terminators (along with Fly-Over and Fly-By waypoints) to basic autopilots able to natively execute only a limited set of legs. Preliminary results show the feasibility of the proposal with flight simulations that used a flexible and reconfigurable UAS architecture specifically designed to avoid dependencies with a single or particular autopilot solution.