Fake news with textual and visual contents has a better story-telling ability than text-only contents, can be spread quickly social media.People easily deceived by such fake news, traditional expert identification is labor-intensive.Therefore, automatic detection of multimodal become new hot-spot issue.A shortcoming existing approaches their inability to fuse multimodality features effectively.They simply concatenate unimodal without considering inter-modality relations.Inspired the way...

Recently, synchrosqueenzing transform (SST)-based time-frequency analysis (TFA) methods have been developed for achieving the highly concentrated TF representation (TFR). However, SST-based suffer from two drawbacks. The first one is that TFRs are unsatisfactory when dealing with multicomponent signals, instantaneous frequencies (IFs) of which closely adjacent or intersected. Besides, exhaustive adjustment window length required to obtain optimal TFR. To tackle these problems, in this...

The accuracy of on-grid frequency estimation methods suffers from the quantization error discrete grids. In this article, a deep unfolded network for off-grid is proposed, dubbed OGFreq. OGFreq, there exist two kinds variables. One batch-oriented dictionary frequency-domain transform, and other one instance-specific bias. As required to be universally applicable among all observed signals, layers are designed weights updated approximate transform bases in data-driven way. Besides,...

Frequency estimation of 2-D multicomponent sinusoidal signals is a fundamental issue in the statistical signal processing community that arises various disciplines. In this article, we extend DeepFreq model by modifying its network architecture and apply it to signals. We name proposed framework ResFreq. Compared with original framework, convolutional implementation matched filtering module facilitates transformation from time-domain frequency-domain reduces number parameters. The additional...

The numerous applications of unmanned aerial vehicles (UAVs) have caused them to receive growing interest worldwide. However, misused UAVs significant public safety and privacy concerns. Therefore, developing an anti-UAV surveillance system is paramount importance. In this paper, we propose a radar-based UAV swarm approach. A frequency estimation-based approach used obtain coarse wave path difference estimate. Then, by combining the estimate from first stage with phase comparison method,...

Frequency estimation of multiple sinusoidals is fundamental in statistical signal processing. In this article, we focus on 1-D complex signals and propose a complex-valued network for frequency estimation, referred to as cResFreq, which overcomes the drawbacks DeepFreq 2-D ResFreq, that is, performance loss associated with processing by real-valued network. First, weights hidden layer are optimized approximate varieties complete basis vectors, locally uncorrelated noise suppression realized...

A system of emotion recognition and judgment (SERJ) based on a set optimal signal features is established, an adaptive interactive game (EAIG) designed. The change in player’s can be detected with the SERJ during process playing game. total 10 subjects were selected to test EAIG SERJ. results show that designed are effective. adapted itself by judging corresponding special events triggered and, as result, enhanced experience. It was found that, game, perception different, experience player...

Purpose The purpose of this paper is to present a dual manipulator system for aloft hot-line assembly tasks connection fittings in 110-kv intelligent substation, which significant the research on working robots. Design/methodology/approach This addresses challenges task and presents can overcome these realize robotic narrow space without impacting safe distance both phase ground. Two manipulators share same global reference coordinate. mission Manipulator 1 position fixed part screw bolts...

Using the camera as main device for collecting environmental information, visual simultaneous localization and mapping (SLAM) aims to determine robot's current location build its surroundings. SLAM system works well in static environments, but it doesn't work enough dynamic environments. With many advances computer vision achieved through deep learning approach, considering problem is similar with tasks, there a growing tendency among scholars consider how solve of by using methods, put...

In this paper, the system of emotion visualization and recognition judgment are established. Twenty subjects were selected for test on above two systems, meanwhile emotional trend changes given by based set optimal signal feature conventional machine learning-based method compared. The results show that picture scene change roughly consistent with those obtained system. As to real-time ability interactivity judgment, is better than change; method. experience has an impact results....

To avoid the complicated motion compensation in interferometric inverse synthetic aperture (InISAR) and achieve realtime three-dimensional (3D) imaging, a novel approach for 3D imaging of target only using single echo is presented. This method based on an isolated scatterer model assumption, thus scatterers beam can be extracted individually. The radial range each estimated by maximal likelihood estimation. Then, horizontal vertical wave path difference derived phase comparison technology...

A range-spread target (RST) detector is proposed for wideband radar. The detector, referred to as a conjugate multiplication and block thresholding (CMBT) simple implementation in existing radar systems has the advantage of minor calculation. First, energy adjacent stretched echoes coherently accumulated via Fourier transform operations. It noted that two complex Gaussian distributed noise double distributed, leading signal ratio (SNR) loss. Subsequently, considering sparsity clustering...

Human-computer interaction (HCI) is the third revolution of information technology after cloud computing and big data. In design HCI, it usually involves physical level, cognitive level emotional while emotion recognition affective (ERAC) are main contents level. this paper, concept function ERAC described; progress research on from facial expression, voice, text, physiological signal other aspects analyzed; application in computer science, health care, media entertainment, intelligent...

In this study, by employing the intra‐pulse cross‐correlation (IPCC) operation, an unambiguous velocity estimation method is proposed for narrow‐band long‐range radars with high carrier frequency and low pulse repetition frequency. This algorithm simple could be easily implemented in existing radar systems without changing hardware or transmitting scheme. Comparing slow time dimension correlation algorithm, accuracy of domain greatly improved, brute‐force search unknown motion parameters...