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In this paper, we propose a simple but effective algorithm, Quadratic Constrained Energy Minimization (QCEM) detector for hyperspectral image target detection. QCEM is a nonlinear version of classical Constrained Energy Minimization (CEM) detector, and it exploits the nonlinear characteristics of data by adding quadratic term on CEM model. Experimental results on one real hyperspectral images and...
This paper investigates the optimal number of collaborating secondary users which can minimize the total error rate (i.e., the summation of probabilities of missed detection and false alarm) for cooperative spectrum sensing when the secondary users follow Poisson point process (PPP). The received signal-to-noise ratios (SNRs) at secondary users can vary since the practical locations and the amount...
A web-based service consists of layers of programs (components) in the technology stack. Analyzing program executions of these components separately allows service vendors to acquire insights into specific program behaviors or problems in these components, thereby pinpointing areas of improvement in their offering services. Many existing approaches for testing as a service take an orchestration approach...
In this paper, we study the design of sparse graph based codes for Faster-Than-Nyquist (FTN) signaling. Using an asymptotic approach based on EXIT charts, we show that good low-density parity check codes can be designed that perform well under iterative detection and decoding and that have better performance than a FTN scheme using a code optimized for the additive white Gaussian noise channel.
One of the most promising directions for metamaterials (MTMs) in particle accelerators is investigating the property of backward propagating Cherenkov radiation to develop novel coherent radiation sources and Cherenkov wakefield detectors.
This paper presents the optimization of the antecedent parameters for a system of image edge detection based on the Sobel technique combined with interval type-2 fuzzy logic. The optimal design of fuzzy systems is a difficult task and for this reason the use of meta-heuristic optimization techniques is considered in this paper. For the optimization of the fuzzy inference system the Cuckoo Search (CS)...
Low power and low complexity algorithms for signal processing applications have gained increasing importance with the deployment of portable communication equipment. Most of the current power reduction techniques rely on reducing the power by VLSI implementation. This approach is expensive and limited by technology. Hence algorithm design optimization is a must for low energy consumption. Here, we...
QRS detection in exercise stress test recordings remains a challenging task, because they are highly non-stationary and contaminated with noises, such as large baseline wander and muscular noise, among others. The aim of this work is to find an optimal set of parameters for QRS detection in very noisy ECG signals, such as those acquired during stress tests. Parameter optimization was addressed by...
This paper presents MemorySanitizer, a dynamic tool that detects uses of uninitialized memory in C and C++. The tool is based on compile time instrumentation and relies on bit-precise shadow memory at run-time. Shadow propagation technique is used to avoid false positive reports on copying of uninitialized memory. MemorySanitizer finds bugs at a modest cost of 2.5× in execution time and 2× in memory...
Most of the real world optimization problems in different domains demonstrate dynamic behavior, which can be in the form of changes in the objective function, problem parameters and/or constraints for different time periods. Detecting the points in time where a change occurs in the landscape is a critical issue for a large number of evolutionary dynamic optimization techniques in the literature. In...
This paper presents a new approach of designing a n-in-n ATLAS pixel sensor shape inspired form golden ratio by using the golden ratio in the design of the multi guard rings structure. A new configuration is proposed in the goal of optimizing its layout parameter. The performance of the optimized guard rings structure is evaluated with TCAD simulation. It’s shown that the optimized structure related...
In the last years a number of counterforensics tools have been proposed. Although most of them are heuristic and designed ad hoc, lately a formal approach to this problem, rooted in transportation theory, has been pursued. This paper follows this path by designing optimal attacks against histogrambased detectors where the detection region is non-convex. The usefulness of our strategy is demonstrated...
Coded aperture X-Ray tomography places a physical coded aperture in front of an X-ray source, the elements in the code either block or let an X-ray beam pass, which produces a patterned compressive projection onto the detector. Given several projections, compressed sensing (CS) reconstruction algorithms are then used to recover the three-dimensional object. The motivation to use coded apertures in...
In this paper, we analyze and optimize non- binary low-density parity-check (NB-LDPC) codes for magnetic recording applications. While the topic of the error floor performance of binary LDPC codes over additive white Gaussian noise (AWGN) channels has recently received considerable attention, very little is known about the error floor performance of NB-LDPC codes over other types of channels, despite...
This paper addresses some aspects of the general problem of information transfer and distributed function computation in wireless networks. Many applications of wireless technology foresee networks of autonomous devices executing tasks that can be posed as distributed function computation. In today's wireless networks, the tasks of communication and (distributed) computation are performed separately,...
In order to get an enhanced image and for extracting useful information, an image is first converted into digital form and after that various operations are performed on it. Image edge detection is one of the most important preprocessing step in image processing. In this paper, we compare various traditional edge detection methods such as Canny, Prewitt, Robert and Sobel. Also we propose edge detection...
Edge illumination (EI) X-ray phase-contrast imaging has great potential for applications in a wide range of research, industrial and clinical fields. The optimization of the EI experimental setup for a given application is therefore essential, in order to take full advantage of the capabilities of the technique. In this work, we analyze the dependence of the angular sensitivity, spatial resolution...
The energy resolution of a γ-ray detector describes its ability to separate radioactive nuclides with nearly identical energy. Several constants like crystal quality and preamplifier noise as well as a couple of variables influence this crucial figure. Usually a trade-off between charge loss and bias voltage induced noise has to be made in planar devices, while more complex electrode structures like...
For the use in high energy physics detectors as well as in medical imaging applications several concepts have been developed in the last years, using the advantages of highly granular active detector components. Pulling inorganic fibers by the micro pulling down method provides a relatively fast and cost efficient method to provide such highly granular detector components in form of inorganic scintillation...
Data races are one of the most common problems in concurrent programs. As SystemC standard allows nondeterministic scheduling of processes, this leads to data races. Hence, different executions of the same concurrent program may lead to unexpected results due to race conditions. We develop a hybrid dynamic data race detection algorithm for SystemC/TLM designs that adopts the well-studied dynamic race...
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