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Today, communication systems face major shortages in availability of free spectrum. Cognitive radio has evolved as the most feasible technology which can empower us to effectively utilize the available spectrum. A vital component of a Cognitive Radio Network is spectrum sensing, i.e. its ability to detect the presence of a primary user. This paper employs an adaptive threshold detection algorithm...
Cognitive radio network (CRN) is a 5-G future technology which is helpful to mitigate band width crises. There are several factors that are responsible to improve CRN quality such as modulation, routing protocols, and transmission power, etc. In this paper, we have analyzed various modulation techniques like QPSK, QAM-16, & QAM-64, and shown that QAM-64 modulation scheme performs well in terms...
The paper researches on the relationship between image quality and the performance of interest point detection. In this paper, we use the image quality metrics and interest point repeatability as the measures of image quality and the performance of interest point detection respectively. Considering the differences of image's scene and quality degradation factor, nine images covering three kinds of...
Detecting certain targets from hyperspectral images (HSIs) is of great interest for both civilian and military applications, with the aim being to detect and identify target pixels based on specific spectral signatures. However, the classical algorithms are generally dependent on the specific statistical hypothesis test, and the algorithms may only perform well with certain assumptions. Therefore,...
Today more and more multifunction RF-SIP (System-In-Package) modules, in SMD (Surface-Mount-Technology) package style, come into high volume production phase. There are many challenges in automatic RF measurements of RF-SIP-SMD devices. Each different SIP must have dedicated load-board that contains multiple RF connectors as well as a rigorous RF considerations and design. Furthermore, RF test equipment...
By extending the basic idea of FAST it is possible to create a detector that can operate directly on a RGB color image and on it detect a higher number of features. The higher number of points and the simplification of the metric put us in the position to impose an additional condition on the keypoints. In order to do so we picked up a problem of FAST and defined a condition for similar points. This...
Automated analysis of the segment LCD images may be utilized to detect hardware or software related problems of the device or LCD itself. The malfunction may be revealed through detection of faulty segments. Difficulties to automate image analysis arise from existing intensity and geometric distortions. We adopt concepts of biological visual systems to improve performance of computational system....
In this work we propose an architecture for fully automated person re-identification in camera networks. Most works on re-identification operate with manually cropped images both for the gallery (training) and the probe (test) set. However, in a fully automated system, re-identification algorithms must work in series with person detection algorithms, whose output may contain false positives, detections...
This paper addresses the problem of person re-identification and its application to a real world scenario. We introduce a retrieval system that helps a human operator in browsing a video content. This system is designed for determining whether a given person of interest has already appeared over a network of cameras. In contrast to most of state of the art approaches we do not focus on searching the...
Filter bank multicarrier (FBMC) modulation has many nice features compared with conventional cyclic prefix-based orthogonal frequency multiplexing (CP-OFDM) and has been considered as a promising waveform candidate for future 5G wireless communication. Combining FBMC with multiple-input multiple-output (MIMO) technology may achieve high data rate. In this paper, we propose the K-Best algorithm based...
While transistor density continues to increase according to Moore's law, Dennard scaling ruling the downsizing of transistor power has broken down due to the increasing rise of leakage occurring in submicron technologies. With every process generation the speed at which transistors can be switched is increasingly exceeding the capacity to dissipate the generated heat, fact that demands highly energy-efficient...
In this article, we carryout performance analysis on energy detectors in myriads of generalized fading environments. We utilize a new “exponential-type” contour and finite-range integral representations for the generalized M-th order Marcum Q-function QM(α,β) when its real order M>0 is not necessarily an integer. The accuracy of the new alternative integral representation for Marcum Q-function...
This document presents a transform-based approach to primary signal vertex finding feasibility analysis. An algorithm to find primary vertices has been developed using only Inner Detector measurements. Based on the information available to the algorithm, a metric has been developed to identify the signal vertex. The feasibility analysis demonstrates the theoretical distinguishability of different...
Challenging ground truth and standardized metrics are a mandatory requirement for the development and evaluation of computer vision algorithms. Despite the significant amount of publications on video based fire detection research it remains difficult to compare different algorithms due to the lack of common evaluation schemes and evaluation datasets. We address both of these issues by presenting a...
Rehabilitative follow-up care is important for stroke patients to regain their motor and cognitive skills. We aim to develop a robotic rehabilitation assistant for walking exercises in late stages of rehabilitation. The robotic rehab assistant is to accompany inpatients during their self-training, practicing both mobility and spatial orientation skills. To hold contact to the patient, even after temporally...
Skin detection is an essential preliminary step in many applications. Most skin detectors are color based. The distributions of skin and non-skin colors overlap, and so color cannot fully discriminate between skin and non-skin pixels. Skin detection is made more difficult by the need to be able to robustly detect skin in a wide range of illumination settings. Several color correction methods have...
Failure detectors are one of the fundamental components for ensuring the high availability of large scale distributed system. The increasing popularity and demand for the large scale distributed system came with an increase in the overhead and complexity of failure detection that posed a challenge obstructing further development. In order to solve the challenge, this paper proposes a new failure detector...
Conventional assessment of sensorimotor functions is carried out using standard clinical scales which are subjective and insufficiently sensitive to changes in motor performance. Alternatively, sensor based systems offer a quantitative approach to motor assessment. We have designed a set of low cost, easy to use instrumented objects to assess a subject's performance during skilled tasks. In this pilot...
The remote detection and identification of gaseous chemical plumes is an important problem with many military and commercial applications. In this paper, we consider the performance of a chemical identification system that consists of a detector bank and a model averaging algorithm. Using standard detection metrics and an identification metric, we compare the two algorithms and show that cascading...
In this paper, we consider the spectrum sensing problem in a cognitive radio (CR) network with only one primary user (PU) and one secondary user (SU). PU is equipped with single antenna while SU is equipped with multiple antennas. The key different from the conventional spectrum sensing studies is that we assume PU could work on different transmit power levels to cope with different communication...
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