In this paper, we present a new method for detecting road users in an urban environment which leads to an improvement in multiple object tracking. Our method takes as an input a foreground image and improves the objec...
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Vessel enhancement in two-dimensional angiogram images is an essential pre-requisite step towards the isolation of coronary arteries. Hessian-based filters are the most commonly used vessel enhancement filters; howeve...
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ISBN:
(纸本)9781538648391
Vessel enhancement in two-dimensional angiogram images is an essential pre-requisite step towards the isolation of coronary arteries. Hessian-based filters are the most commonly used vessel enhancement filters; however, these filters are more sensitive to noise and suppress the bifurcation regions. Suppression of bifurcation regions results in disconnected vessels. In this study, we present a technique that enhances the arteries of the heart in 2D angiograms and also refines the noisy vesselness obtained through Frangi's method by using guided filter which produces more enhanced image that can be used as an effective pre-processing step for binarization of the Frangi vessel response having less discontinuities and joint suppression. The proposed approach makes use of the guided filter which smooths the edges, and at the same time preserves the edges as well for the enhancement of vessels. Following this filter, an Adaptive thresholding is applied to segment the coronary arteries from the angiogram. The proposed method has been tested on real angiography images and the efficiency of the method has been shown qualitatively as well as quantitatively.
Bio-Signal computing involves signal acquisition, conditioning and processing. Inherently, signal acquisition and conditioning is done through analog discrete front end circuitry. Signal processing in the analog domai...
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ISBN:
(纸本)9781538624111
Bio-Signal computing involves signal acquisition, conditioning and processing. Inherently, signal acquisition and conditioning is done through analog discrete front end circuitry. Signal processing in the analog domain involves higher component counts, inaccuracies, and limitations. Due to the recent developments in VLSI technology, highly integrated Analog Front Ends (AFEs) are emerging, capable of processing bio-signals under program control. This ushers a new design paradigm for the embedded system designers. In this paper, we present a highly integrated AFE based embedded system-a novel, low cost remote platform, capable of multimodal bio-signal computing including continuous, and non-invasive blood pressure estimation.
We consider content caching between a service provider and multiple cache-enabled users, using the recently proposed modified coded caching scheme (MCCS) that provides an improved delivery strategy for random user req...
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In this article, here is developed a novel TOPAS based heptagonal photonic crystal fiber (H-PCF) for the identification of various chemical substances in the terahertz frequency territory. The full-vector finite eleme...
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In this article, here is developed a novel TOPAS based heptagonal photonic crystal fiber (H-PCF) for the identification of various chemical substances in the terahertz frequency territory. The full-vector finite element method (FV-FEM) is used for the numerical investigation about the competence of the proposed PCF. Simulation results show the maximum relative sensitivity as well as less connement loss for various chemicals. Numerically processed outcomes apparent that the proposed sensor shows 63.24 %, 61.05 % and 60.03 % detecting reactions for focused analytes benzene, ethanol and water individually at 1 THz frequency. Major purposes is to use H-PCF as the application of chemical sensor in commercial sector to detect harmful chemicals.
We consider downlink multicast beamforming in a massive MIMO multi-cell network. Aiming at maximizing the minimum SINR among users, for both non-cooperative and cooperative multicasting, we propose a multicast beamfor...
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ISBN:
(纸本)9781538646595
We consider downlink multicast beamforming in a massive MIMO multi-cell network. Aiming at maximizing the minimum SINR among users, for both non-cooperative and cooperative multicasting, we propose a multicast beamforming scheme based on weighted maximum ratio transmission (MRT), and transform the beamforming optimization problem into a weight optimization problem that is solved via the semi-definite relaxation (SDR) approach. The proposed method has a low computational complexity which does not grow with the number of antennas, and thus is suitable for massive MIMO systems. Simulation shows that our proposed multicast beamforming solution yields comparable or better performance than existing approaches but with significantly lower complexity for practical systems with a large but finite number of antennas.
This research, conducts an experiment to investigate whether there is a difference in user performance and preference for two types of head-mounted displays (HMDs) when users need to perform directional motion movemen...
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ISBN:
(纸本)9781538667521
This research, conducts an experiment to investigate whether there is a difference in user performance and preference for two types of head-mounted displays (HMDs) when users need to perform directional motion movements such as moving one foot forward and backward (or leftward or rightward). The two types of HMDs we have considered are virtual reality (VR) and augmented reality (AR), which represent the two most commonly marketed HMDs. The AR device chosen for this research is the Meta 2 while the chosen VR device is the Oculus RIFT CV1. The results of our experiment show that there is a close significant difference on task completion time between AR and VR condition when users perform motion direction tasks. Also, no significant effect has been found on the accuracy of making these motion movements between the AR and VR conditions. In terms of user preference, the results show that there is no significant effect on workload, motion sickness, immersion, and user experience. These results suggest that both AR and VR HMDs are suitable for interfaces that can rely on body motions like tapping on the floor using one foot in any of the directions around the user.
In this paper, we analyze the effect of reducing object redundancy in random testing, by comparing the Randoop random testing tool with a version of the tool that disregards tests that only produce objects that have b...
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In this paper, we analyze the effect of reducing object redundancy in random testing, by comparing the Randoop random testing tool with a version of the tool that disregards tests that only produce objects that have been previously generated by other tests. As a side effect, this variant also identifies methods in the software under test that never participate in state changes, and uses these more heavily when building assertions. Our evaluation of this strategy concentrates on collection classes, since in this context of object-oriented implementations that de- scribe stateful objects obbeying complex invariants, object variabil- ity is highly relevant. Our experimental comparison takes the main data structures in ***, and shows that our object redun- dancy reduction strategy has an important impact in testing collec- tions, measured in terms of code coverage and mutation killing.
Context: The Unified Modeling Language (UML) has become the standard for modeling software. Several surveys on the UML usage have been proposed in recent years. However, none of them explores the UML use in specific r...
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In specification-based test generation, sometimes having a formal specification is not sufficient, since the specification may be in a different formalism from that required by the generation approach being used. In t...
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In specification-based test generation, sometimes having a formal specification is not sufficient, since the specification may be in a different formalism from that required by the generation approach being used. In this paper, we deal with this problem specifically in the context in which, while having a formal specification in the form of an operational invariant written in a sequential programming language, one needs, for test generation, a declarative invariant in a logical formalism. We propose a genetic algorithm that given a catalog of common properties of invariants, such as acyclicity, sortedness and balance, attempts to evolve a conjunction of these that most accurately approximates an original operational specification. We present some details of the algorithm, and an experimental evaluation based on a benchmark of data structures, for which we evolve declarative logical invariants from operational ones.
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