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Over the last years the complexity of mobile communication networks has significantly increased. Therefore, Self-Organizing Network (SON) features have been introduced to automate the process of fault-remedying, configuring Network Elements (NEs), and optimizing their operation. Such features are typically implemented by SON functions which actively perform changes to Configuration Management (CM)...
In this paper we present a novel people detector that employs discrete optimization for feature selection. Specifically, we use binary integer programming to mine heterogeneous features taking both detection performance and computation time explicitly into consideration. The final trained detector exhibits low Miss Rates with significant boost in frame rate. For example, it achieves a 2.6% less Miss...
Energy detector has become a popular detector in spectrum sensing for cognitive radio. In conventional energy detector, a squarer is used to square the samples to compare with a threshold to give the local decisions. However, the best sensing performance cannot be reaped only with a squarer. In this paper, cooperative spectrum sensing based on improved energy detector is considered and the optimal...
Deformable part models show a remarkable detection performance for a variety of object categories. During training these models rely on energy-based methods and heuristic initialization to search and localize parts, equivalent to learning local object features. Due to weak supervision, however, those learnt part detectors contain lots of noise and are not enough reliable to classify the object. This...
For video copy detection and near-duplicate retrieval applications, picture-in-picture (PiP) is one of widely-used but especially difficult transformations to be detected. Traditionally, PiPs in a video are detected by extracting edges within key frames sampled from the video. However, without taking the temporal continuity between frames into account, the performance of these frame-based methods...
This paper proposes Clock-RSM, a new state machine replication protocol that uses loosely synchronized physical clocks to totally order commands for geo-replicated services. Clock-RSM assumes realistic non-uniform latencies among replicas located at different data centers. It provides low-latency linearizable replication by overlapping 1) logging a command at a majority of replicas, 2) determining...
The solenoid type magnetic field detector modeling was made. The problem of the maximum domain size obtaining with the high degree magnetic field homogeneous is considered. The geometrical form of the iron core and current coil were taken into account, when the optimization was made. The different detector configurations were obtained and they comparisons were made.
This paper explores a new method for detecting cyber-attacks on a controller. Specifically, the proposed detector is based on invariant sets in order to determine whether an attacker has hijacked the controller and perpetrated a cyber-attack. One particularity of this detection method is that few information about the controller is required. Thus, the detector becomes useful for a large range of control...
We propose an efficient method to train multiple object detectors simultaneously using a large scale image dataset. The one-vs-all approach that optimizes the boundary between positive samples from a target class and negative samples from the others has been the most standard approach for object detection. However, because this approach trains each object detector independently, the scores are not...
This paper presents an online algorithm for early detection of anomalies in robot execution, where the anomalies occur in a particular region of the robot's state space. Assuming that a model of normal execution is given, the algorithm detects regions of space where data significantly deviate from normal. It achieves this by focusing optimization over a fixed-parameter family of shapes to find the...
Using meta-heuristic algorithms, such as harmony search (HS) algorithms are commonly used in many engineering fields. In this paper, we proposed a novel multiuser detector (MUD) for direct sequence-code division multiple access (DS-CDMA) systems. The detector is based on one of the HS algorithm versions called global-best harmony search (GHS) algorithm. The GHS algorithm is easy to be applied in DS-CDMA...
In this paper, two near-optimal detectors based on the convex optimization algorithm are proposed for multiuser detection (MUD) in the ultra-wide bandwidth (UWB) systems. The first detector performs semidefinite relaxation (SDR) to approximate the optimum multiuser detection (OMD) which is a nondeterministic polynomial time hard (NP-hard) problem. When the cutting planes generation algorithm is employed...
ALICE (A Large Ion Collider Experiment) studies the physics of strongly interacting matter and the quark-gluon plasma by means of heavy-ion collisions at the CERN LHC (Large Hadron Collider).
In this paper, semidefinite relaxation (SDR) technology is exploited for the multiple-symbol detection (MSD) over the multiple-input multiple-output (MIMO) ultra-wideband (UWB) systems. The existing scheme generalized likelihood ratio test (GLRT) MSD jointly detect multiple symbols, however, it entails a complexity of O(2M), where M is the observation window size. To this end, SDR is employed to reformulate...
The collaborative Spectrum Sensing (SS) to detect random signals contaminated by additive Gaussian noise is studied. A novel soft decision rule based on the Lp-norm of square root of the Secondary Users (SUs) energies is proposed. The proposed scheme considers the bandwidth limitation for sharing sensing information between the SUs. Whereas the existing literature on Lp-norm detectors have assumed...
We present a new method for the atlas-free brain segmentation of proton-density-like 3D MRI images. We show how steerable filters can be efficiently combined with parametric spline surfaces to produce a fast and robust 3D brain segmentation algorithm. The novelty lies in the computation of brain edge maps through optimal steerable surface detectors which provide efficient energies for the rapid optimization...
A new multisensory image registration is proposed for based on detecting the feature corner points using Improved Harris Corner Detection (HCD) and matching the feature using Discrete Particle Swarm Optimization (distance condition and angle condition). This optimization process helps in picking up three corresponding corner points detected in the Sensed and Reference image and there by using the...
The spectrum sensing performance is significantly degraded by the primary user's status changes as arriving or leaving randomly in cognitive radio networks. This paper presents an improved energy detector (ED) with weights to improve detection performance in this situation. The idea is derived from the concept of unequal scale sampling such that the sampling points in the sensing period are endowed...
In this paper, the cooperative spectrum sensing in centralized cognitive radio networks is studied as a three-phase process, composed of local sensing, reporting, and decision/data fusion and a novel approach is proposed to optimize the linear soft combining scheme at the fusion phase jointly with two elements of the reporting phase: i) the number of bits used by each node to quantize the local sensing...
An edge is a set of connected pixels lying on the boundary between two regions that differ in pixel intensity. Accordingly, several gradient-based edge detectors have been developed that are based on measuring local changes in gray-value; a pixel is declared to be an edge pixel if the change is significant. However, the minimum value of intensity change that may be considered to be significant remains...
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