Today, the role of government is considered so much precise regulations, foresight and initiative of the public sector in the economy can trigger market growth. But usually because the private sector activity is affected by interactions of the market and government, markets' development process is slow and governmental clubs have become a consumer of financial resources by their inefficient fun...

In multimodal biometric systems, human identification is performed by fusing information in different ways like sensor-level, feature-level, score-level, rank-level and decision-level. Score-level fusion is preferred over other levels of fusion because of its low complexity and sufficient availability of information for fusion. However, the scores obtained from different unimodal systems are he...

The last twenty years has seen an explosion in the application of molecular biology, genetics, and cell biological techniques to the problems of neurobiology, and a growth in neurobiological experimental research which has dramatically increased our understanding of the nervous system and its function. However the primary function of the nervous system is to gather, represent, interpret, use, s...

We demonstrate the use of semantic object detections as robust features for Visual Teach and Repeat (VTR). Recent CNN-based object detectors are able to reliably detect objects of tens or hundreds of categories in video at frame rates. We show that such detections are repeatable enough to use as landmarks for VTR, without any low-level image features. Since object detections are highly invarian...

It is now convenient to reexamine some questions of fundamental nature with the purpose of analyzing the possible consequences of Ruelle’s principle introduced in §5.7. We shall make frequently reference to the general description of motions given in Chap. 5 in a context in which we imagine that the considered motions are attracted by some attracting set in phase space, which will have zero vol...

This paper presents a method to increase the reliability of UAV sensor fault detection in a multiUAV context. The method uses additional position estimations that augment individual UAV fault detection system. These additional estimations are obtained using images from the same planar scene taken from two different UAVs. Since accuracy and noise level of the estimation depends on several factor...

The University of Michigan has developed a xed-wing model aircraft (Solus) with an embedded control system to develop and demonstrate UAV technology. The analytical objective of this project is the development of intelligent ight control and trajectory planning techniques, focusing on automated fault detection and recovery. Our experimental objective is to implement and evaluate these technique...

This paper proposes a method to detect dynamic objects in the images obtained by a small UAV. Two geometric constraints in multi-view images are used to classify each of the extracted featurepoints as static or dynamic. The first constraint is the epipolar constraint which requires static points to lie on the corresponding epipolar lines in the subsequent image. The second constraint, named as ...

We introduce an authentication framework called Query-Directed Passwords (QDP) that is designed to incorporate the convenience of authentication by entrenched (long-term) knowledge questions (such as “What is your favorite marine animal?”), but to offer stronger security than from personal questions as traditionally used. Security is strengthened for this scheme by imposing several restrictions...