The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
We present a relative location estimation algorithm based on the coordinates inner product matrix-based maximum likelihood (CML) for determining the relative locations of sensor nodes in wireless sensor networks. We use the geodesic distance between each node to obtain the coordinates inner product matrix, then derive the maximum-likelihood estimator for coordinates inner product matrix to estimate...
Methods for distributed optimization are necessary to solve large-scale problems such as those becoming more common in machine learning. The communication cost associated with transmitting large messages can become a serious performance bottleneck. We propose a consensus-based distributed algorithm to minimize a convex separable objective. Each node holds one component of the objective function, and...
This paper presents a fast mode decision algorithm for the HEVC intra prediction. A new evaluation order in the Coding Tree Block (CTB) allows the use of modes from low level PUs to be used as reference to the current PU decision. In this paper we use this idea to develop a fast intra mode decision algorithm that can be configured to run in two different complexity modes, relaxed and aggressive. Experimental...
An improved algorithm based on the symmetric uniform linear array (ULA) and the second-order statistics (SOS) is proposed to cope with the mixed far-field and near-field sources localization problem. The direction-of-arrivals (DOAs) and powers of far-field sources can be firstly estimated from the MUSIC spectral function. Then, an oblique projection technique is adopted to eliminate the obtained far-field...
Medical embedded systems hold the promise to improve health outcomes, decrease isolation, reduce health disparities, and substantially reduce costs. In spite of their revolutionary potentials, these systems face a number of challenges in design and architecture that form stumbling blocks in their path to success. On one hand, as the sensor units continue to become more miniaturized, the underlying...
Division is an operation extensively used in architectures for digital signal processing algorithms, which in portable devices require an implementation using fixed-point format. In this paper, a novel fixed-point divider is proposed. The divider architecture is based on a division algorithm that uses the reciprocal operation and a post-multiplication. In turn, reciprocal operation is based on the...
Gossip and tree-based aggregation algorithms are two popular solutions for distributed averaging in wireless networks. The former uses only local message exchanges and requires no routing structures whereas the latter requires building a spanning tree. In this paper we provide a detailed comparison of their performance in terms of communication overhead, accuracy, latency and energy consumption using...
The main challenge in wireless sensor network is the accuracy and timeliness of event detection and localization. However, for a wireless sensor network, abnormal events are relatively sparse compared with all the events in monitoring area. Compressed sensing theory proposed the idea to recover a sparse signal from a few measurements. In this paper abnormal event detection and localization in wireless...
This paper presents an efficient recursive architecture for realizing modified discrete cosine transform (MDCT), modified discrete sine transform (MDST), inverse MDCT (IMDCT), and inverse MDST (IMDST) computations. After employing the data rearrangement and a coefficient-free algorithm, the computations MDCT, MDST, IMDCT and IMDST can be represented as a modified type-II of inverse discrete sine transform...
Generally, the operation of an endoscope requires a skillful operator, due to the difficulty of focusing on the target region. To support such a task, a vision system that can produce clear endoscopic images to easily understand the target region, is required. In this paper, we propose an all-in-focus image creation algorithm which uses the original one, developed for microscopic image, and assuming...
Comparing the existing window interpolation correction algorithm with Kaiser window, the former's performance is restricted by the window function fixed side-lobe, it can also reduce the influence of spectral leakage and fence effect. The latter can reach the nearly maximum energy proportion of the main-lobe to side-lobe, and the ratio between main-lobe and side-lobe width can be chosen freely. This...
As an important foundation for image-guided technology, image matching technique is the key technology of modern war. This paper proposes a new algorithm of affine invariant detector and descriptor of local invariant feature points, starting from feature point detection and description point of view, making up the traditional feature point extraction defects of small number and types. Meantime, proposes...
The performance of underwater acoustic target classification decreases and is unstable when the training set contains noisy, redundant or irrelevant samples. In this paper, a new adaptive immune clonal sample selection algorithm (AICISA) is proposed to address this problem. AICISA is aimed at directing generation evolution. An experiment about the application of AICISA using the multi-field features...
Each node in wireless sensor network has limited energy for communication and computation, so how to reduce the energy consumption efficiently is an important research problem. In this paper, we propose a fully distributed expectation maximization algorithm (FDEM) for acoustic source localization to reduce communication cost significantly. It just requires local data transmission and simple computation...
As distributed memory systems grow larger, communication demands have increased. Unfortunately, while the costs of arithmetic operations continue to decrease rapidly, communication costs have not. As a result, there has been a growing interest in communication-avoiding algorithms for some of the classic problems in numerical computing, including communication-avoiding Fast Fourier Transforms (FFTs)...
In this work, we propose a novel hop-count based localization algorithm able to reduce errors due to mapping the hops into distance units. Using the proposed algorithm, the mean hop size ¯hs is locally derived at each regular or position-unaware node, thereby avoiding its broadcast by anchors (i.e., a few nodes aware of their exact position) as usually required in current state-of-the-art solutions...
The energy of audio segment is adaptively judged by energy threshold based on traditional echo hiding algorithm so that echo signal is selectively added. Compared with the traditional algorithm by determining the amount of embedded data depending on the length of the audio signal, the new algorithm adaptively embed data according to the energy of audio segment so as to improve the problem of high...
This paper presents an efficient constant-time Gaussian filter which provides a high accuracy at a low cost over a wide range of scale σ. It requires only 14 multiplications per pixel in image filtering regardless of σ, which is fewer than state-of-the-art constant-time Gaussian filters. Main ideas of the paper are as follows: 1) introducing a second-order shift property of the discrete cosine transform...
Mobile phone technology continuously evolves and incorporates more and more sensors for enabling advanced applications. The availability of these sensors in mass-market communication devices creates exciting new opportunities for data mining applications. Particularly healthcare applications exploiting build-in sensors are very promising. These devices open wide range of opportunities of using their...
This work select the features in high dimensional data using CBFS Feature selection algorithm by ElectroOculoGraph (EOG) signals using eye movements of reading and writing task. EOG measures the changes in the electric potential field caused by eye movements. This work has three phases; the first phase identifies and removes noise from the signal. The second phase involves analysis of EOG signals...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.