The increasing use of unmanned aerial vehicles (UAVs) or drones in different civil and military operations has attracted attention of many researchers and science communities. One of the most notable challenges in this field is supervising and controlling a group or a team of UAVs by a single user. Thereupon, we proposed a new intelligent adaptive interface (IAI) to overcome to this challenge. ...

Intelligent Adaptive Interface (IAI) is a design tool that guides the development of an operator interface in enhancing human-machine system performance. With a set of design principles, this paper introduces the concept of IAI and its design framework, which include methodologies for developing various systems including operator interfaces. These methodologies are demonstrated in a case study ...

Since most components of sparse multi-path channel (SMPC) are zero, impulse response of SMPC can be recovered from a short training sequence. Though the ordinary orthogonal matching pursuit (OMP) algorithm provides a very fast implementation of SMPC estimation, it suffers from inter-atom interference (IAI), especially in the case of SMPC with a large delay spread and short training sequence. In...

The computer systems for the decision-making must provide in a synthetic and simple way the necessary elements to the decisionmaker. That is why, it is indispensable to build Computer Human Interface (CHI) adapted to every user’s perception as well as possible. The necessity to design the application data processing providing an intelligent and self-adaptive CHI seems to be therefore more and m...

The main purpose of this work is to explore the application of Memory Based Reasoning (MBR) to adaptive behavior in agents. We discuss the design of an interface agent for e-mail management assistance as a prototype for the experimental assesment of an MBR learning algorithm performance. Results are discussed and a brief summary of conclusions follows, as well as a sketch of future work to be d...

We are currently developing an adaptive, emotional, and expressive interface agent, which learns when and how to notify users about self-assigned tasks and events. In this paper, we describe the learning system and the user feedback mechanism we have designed. Then, we discuss issues concerning the expression of emotions, in the situation where the user should not be distracted by an adaptive t...

Present-day efforts in designing technologies to serve and adapt to human needs rather than forcing humans to adapt, embrace intelligent user interfaces as one of ambient intelligence key technologies. This paper elaborates on the design of an adaptive individual interaction in a type of computer-based educational system whose operation is supported by intelligent methods, an emulation of human...

Recent studies have reported evidence suggesting that portions of contemporary human genomes introgressed from archaic hominin populations went to high frequencies due to positive selection. However, no study to date has specifically addressed the post-introgression population dynamics of these putative cases of adaptive introgression. Here, for the first time, we specifically define cases of i...

The paper presents an electronic dictionary that can be adapted to the needs of different NLP applications. It suggests some ways to save on software customisation and acquisition effort through an intelligent developer interface. The emphasis is made on the flexibility of data representation, handling and access speed.