In this work, we present a novel data-driven method for robust 6DoF object pose estimation from single RGBD image. Unlike previous methods that directly regressing parameters, tackle challenging task with keypoint-based approach. Specifically, propose deep Hough voting network to detect 3D keypoints of objects and then estimate the 6D parameters within least-squares fitting manner. Our is natural extension 2D-keypoint approaches successfully work on RGB based estimation. It allows us fully...

Abstract Steel plays an important role in industry, and the surface defect detection for steel products based on machine vision has been widely used during last two decades. This paper attempts to review state‐of‐art of vision‐based inspection technology by investigating about 170 publications. covers overall aspects including hardware system, automated method, existing problems latest development. The types product defects composition visual system are briefly described, image acquisition...

Inspired by the observation that humans are able to process videos efficiently only paying attention where and when it is needed, we propose an interpretable easy plug-in spatial-temporal mechanism for video action recognition. For spatial attention, learn a saliency mask allow model focus on most salient parts of feature maps. temporal employ convolutional LSTM based identify relevant frames from input video. Further, set regularizers ensure our attends coherent regions in space time. Our...

Smart speakers allow users to interact with home appliances using voice commands and are becoming increasingly popular. While voice-based interface is intuitive, it insufficient in many scenarios, such as noisy or quiet environments, for language barriers, applications that require continuous motion tracking. Motion-based control attractive complementary existing control. However, accurate reliable room-scale tracking poses a significant challenge due low SNR, interference, varying mobility....

Recently, there has been a surge in the popularity of voice-first devices, such as Amazon Echo, Google Home, etc. While these devices make our life more convenient, they are vulnerable to new attacks, voice replay. We develop an end-to-end system detect replay attacks without requiring user wear any wearable device. Our system, called REVOLT, several distinct features: (i) it intelligently exploits inherent differences between spectral characteristics original and replayed signals, (ii) both...

Tumor burden, considered a common chronic stressor, can cause widespread anxiety. Evidence suggests that cancer-induced anxiety promote tumor progression, but the underlying neural mechanism remains unclear. Here, we used neuroscience and cancer tools to investigate how brain contributes progression via nerve-tumor crosstalk in mice model of breast cancer. We showed tumor-bearing exhibited significant anxiety-like behaviors corticotropin-releasing hormone (CRH) neurons central medial...

High-order dispersion can be utilized to enhance pulse energy emission from a fiber laser cavity, such as in the generation of pure-quartic solitons (PQSs) balanced by fourth-order (FOD) and Kerr nonlinearity. However, nonlinearity accumulation cavity easily induce splitting, limiting increase further. In this paper, we propose theoretical model investigate evolution dissipative (DPQSs) an all-normal Mamyshev oscillator. We reveal that significant interaction positive FOD with nonlinearity,...

A taper-based in-line Mach-Zehnder interferometer (MZI) coated with the magnetic fluids (MFs) is designed and experimentally verified for highly sensitive field measurement. The effect of waist diameter on characteristic parameters transmission modes numerically analyzed by finite element method (FEM). sensing MZI (S-MZI) a ∼8.92 μm fabricated, in which multi-mode interference occurs between fundamental mode (HE₁₁) cladding (HE₂₁ TM₀₁ modes)....

Acoustic ranging is a technique for estimating the distance between two objects using acoustic signals, which plays critical role in many applications, such as motion tracking, gesture/activity recognition, and indoor localization. Although algorithms have been developed, their performance still degrades significantly under strong noise, interference hardware limitations. To improve robustness of system, this paper we develop Deep learning based Ranging called DeepRange. We first an...

Abstract Different from most current studies using convolutional neural network (CNN), a deep learning detection method for steel plate surface defects based on Transformer is researched. This paper presents process, structure and strip defect detection. A Swin was used to extract hierarchical features in the system. Then feature pyramid networks (FPN) fuse above form multi‐scale maps, region proposal (RPN) adopted generate of interest (ROI) defects. Finally, ROI head category information...

This paper presents a model for Enterprise Application Integration (EAI) in the modern era of data explosion and globalisation. here refers to software, which is essence system, both information knowledge (data serves as vehicle well knowledge). The salient features are: (1) separation business functions from applications enterprises, (2) three-layer architecture (conceptual or semantic level, external application internal realisation level), (3) integration structured, semi-structured...

A nanocomposite polymer, Al(OH)3−polyacrylamide (Al-PAM) hybrid, was tested as a flocculant. This novel hybrid polymer found to induce pellet-like floccules, leading more effective solid−liquid separation than common polyacrylamide (PAM)-based flocculants. To understand the mechanism of Al-PAM-induced pelleting flocculation, molecular structure this studied using an atomic force microscope (AFM). The interactions between Al-PAM molecules and silica surface were measured single molecule...

Extreme meteorological disaster effects on grain production is mainly determined by the interaction between danger degree of hazard-induced factors and vulnerability hazard-affected bodies. This paper treats physical exposure, sensitivity response to impact, capabilities prevention mitigation as a complex system for bodies, which included external shocks internal stability mechanism. Hazard-induced generate systems though exposure body, result can be represented affected area grain. By...

The synthesis of the kinematic chain needs to obtain information accurately and comprehensively. Isomorphism identification is an essential step in synthesis. In this article, a novel isomorphism determination method planar chains with multiple joints based on joint–joint matrix description was proposed. First, presented describe chain, which can uniquely represent structure. Then links were extracted from matrix. And link code joint introduced attributes attributes, respectively....

A multi-step PDMS curing method and a local separation strategy were proposed to achieve mass, standardized, low-cost manufacturing of valved micropumps, satisfying wider range fluid-driven applications.

Abstract A novel fiber-optic magnetic field sensor with high interrogation speed and resolution by using an etched fiber Bragg grating (FBG) in conjunction a dual-loop optoelectronic oscillator (OEO) is proposed experimentally demonstrated. commercial FBG firstly dipped into mixed hydrofluoric acid solution to remove the cladding layer then embedded fluid (MF) as sensing element. The central wavelength reflected from related overall time delay of OEO, which determines oscillating frequency...

As an essential component of many Natural Language Processing applications, semantic similarity measure has been studied for decades. Recent research results indicate that the Subject-Action-Object (SAO) structure in sentences is more desirable describing technological information, and SAO-based outperforms classical text-based ones. The typical approach literature to finding between two SAO structures relies on a term matching technique, which produces score by Sørensen-Dice index, i.e.,...

Abstract Ionic‐complementary peptides are promising new biomaterials with potential applications in bionanotechnology. In the present investigation, a typical ionic‐complementary peptide, EFK16‐II, was used to modify highly ordered pyrolytic graphite (HOPG) electrode. Upon modification, peptide nanofibers, parallel or oriented 60° 120° each other, were formed on surface of HOPG Surface wettability electrode improved as indicated by significant decrease water contact angle. The...