Most of the existing Non-Cooperative Target Recognition (NCTR) systems follow “closed world” assumption, i.e., they only work with what was previously observed. Nevertheless, real world is relatively “open” in sense that knowledge environment incomplete. Therefore, unknown targets can feed recognition system at any time while it operational. Addressing this issue, Openmax classifier has been re...

Building sectors are responsible for 33% of global energy consumption and a one-third CO2 emission as buildings expected to experience high performance in order mee occupnt requirments such lightng, coling, heting, ventiltion systm. Internet Things (IoT) one the leading developments digital technologies led establishment devices improving living style occupants. To date, stdies on intgrating me...

Interference classification plays an important role in anti-jamming communication. Although the existing interference signal recognition methods based on deep learning have a higher accuracy than traditional methods, these poor robustness while rejecting signals of unknown classes open-set (OSR). To ensure known and rejection rate OSR, we propose new hollow convolution prototype (HCPL) which in...

The Opaque Cover Problem (OCP), also known as the Beam Detector Problem, is the problem of finding, for a set S in Euclidean space, the minimum-length set F which intersects every straight line passing through S. In spite of its simplicity, the problem remains remarkably intractable. The aim of this paper is to establish a framework and fundamental results for minimum opaque covers where S is a...

Significant progress has been made in convolutional neural networks (CNN) based gas recognition. However, existing electronic nose (e-Nose) algorithms all use the closed-set assumption that test and training samples are same label space can only detect objects of known classes. realistic scenarios, collecting data for every possible would waste much resource. Open-set identification aims to act...