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Detecting saliency objects in video is a challenging problem. Conventional saliency detection methods for still images do not take consideration of the motion information, which may fail to detect the moving objects in videos. In this paper, we propose a novel method for detecting saliency objects in videos. Motion cues, which are extracted from both image orientations and video orientations, are...
This paper demonstrates the impact of transceiver impairments on channel capacity and bit-error-rate (BER) performance of a dual-hop half-duplex cognitive relay network over AWGN channel. We consider the soft-information-relaying (SIR) protocol where the relay node computes the reliabilities (soft) of the received signal from source and then forwards to the destination. The hardware impairment model...
Accuracy in financial forecasting is a key determinant of profits in the financial markets. This paper proposes improvements to existing Artificial Neural Network based forecasting approaches using de-noising in frequency domain and the Hodrick-Prescott Filter. Traditionally used technical indicators are replaced with open, close, high, and low prices only. Forecasts achieved via these improvements...
The car body structure and vision limitations of the rear view mirror may lead to inner wheel difference and blind spots, which results in traffic accidents. To solve this problem, many automakers develop the Around View Monitoring (AVM) actively. The AVM system provides the information around the car for drivers with videos. This paper is based on the 2D AMV and further develops the 3D AVM, which...
Automatic prediction of personal preference for lecture video is becoming exceedingly important as the available volume of such content is expanding rapidly. Gaze information is believed to be an convenient and useful indicator of cognitive process due to its non-invasive characteristic. We build up a small-scale dataset of viewer's gaze during watching TED Talk videos, and propose a set of gaze features...
Conventional HF geolocation method based on ray tracing relies on strict requirement on ionosphere information while line-of-bearing based geolocation method and time difference of arrival (TDOA) based method require fine angular resolution and large aperture array. In practical applications, these methods will be subject to practical constraints, especially when operated in land-limited environment...
This paper describes a design of linear phase band-pass FIR digital differentiators with flat passband and Lp (1 ≤ p ≤ ∞) norm-based stopband characteristics. The transfer function consists of a passband function and a stopband function. The passband function guarantees the flat differential characteristics around an arbitrary center frequency. In addition, the maximally flat differentiators provide...
Privacy has become a key concern for smartphone users as many apps tend to access and share sensitive data. However, it is not easily understandable for users which apps access what type of data and which are the minimal access permissions required to achieve a certain functionality. Although there are apps targeting privacy concerns, they only show which type of data is accessed but not whether it...
Recognition between true and false ballistic warheads is an important problem in missile defense. In this paper, a multiple-input multiple-output (MIMO) radar with distributed antennas is employed to observe the scene from distinct directions to gain multi-dimensional information of the warheads. A state space model (SSM) is developed to describe the motion behavior of the warheads (state equation)...
Device-to-device (D2D) communications was proposed underlying cellular networks to increase system capacity to support high-data-rate multimedia services. However, D2D communications unavoidably bring along co-channel interference to conventional cellular users. In this paper, we propose interference-aware resource allocation (IARA) scheme for cellular networks with underlying D2D communications....
The configuration and maintenance of constantly evolving mobile cellular networks are getting more and more complex and hence expensive. Self-Organizing Networks (SON) concept is an umbrella term for the set of automated solutions for network operations proposed by 3rd Generation Partnership Project (3GPP) group. Automated cell outage detection is one of the components of SON functionality. In early...
Reaction time is a surrogate measure of alertness and fatigue, which is essential to brain-computer interface (BCI) research in understanding and preventing fatigue in driving. Accurate reaction time determination is crucial, but complicated by the continuous nature of steering wheel inputs. Continuous data requires the selection of thresholds to determine valid reactions, and such thresholds may...
State-of-the-art NAND flash chips experience significant channel noise impairments and raise several data reliability issues. To overcome these issues, low-density parity-check (LDPC) codes are becoming the main stream error-correcting-codes in flash memory controllers. Consequently, the long belief-propagation (BP) decoding latency starts to deteriorate the system performance. In this paper, a low-complexity...
Non-orthogonal multiple access (NOMA) is considered as a promising multiple access scheme for 5G downlink transmission. In this paper, we first review the existing downlink NOMA with successive interference cancellation (SIC) and then highlight some of the critical performance limiting factors related to SIC which can result in the performance degradation of NOMA. In order to alleviate the problems...
This paper studies the feasibility of using Timing Advancing (TA) information together with radio fingerprints for improving position estimation of Minimization of Drive Test (MDT) trace record measurements. Performance evaluation is carried out by analyzing field measurements from commercially deployed LTE (Long Term Evolution) networks operating on 800 MHz, 1800 MHz and 2600 MHz frequency bands...
This article presents a probabilistic motion model that is based on an economical graph-based indoor map representation, such that the motion of the user is constrained according to the floor plan of a building. The floor plan is modeled as a combination of links and open space polygons that are connected by nodes. In the authors' earlier work the link transition probabilities in this graph are proportional...
In this paper we evaluate user-equipment (UE) positioning performance of three cluster-based RF fingerprinting methods using LTE and WLAN signals. Real-life LTE and WLAN data were collected for the evaluation purpose using consumer cellular-mobile handset utilizing ‘Nemo Handy’ drive test software tool. Test results of cluster-based methods were compared to the conventional grid-based RF fingerprinting...
This paper briefly reviews the literature on existence and uniqueness of localization using Time-Different-of-Arrival (TDOA) limited by 4 anchors. To overcome the incompleteness encountered by algebraic solution in finding the TDOA solution, this paper suggests several practical approaches to select the correct root. The architecture and measured performance of a 3D Ultra-Wideband indoor positioning...
A MIMO antenna array having high gain, low Specific Absorption Rate (SAR) and enhanced isolation for a mobile phone to be used in 5G cellular mobile communications is presented. The design challenges of 5G handset mobile antenna are work of interest in this paper. Embedment of multiple antenna elements for MIMO while maintaining high isolation, gain, minimum SAR evidences the competence of proposed...
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