Abstract The paper presents the latest version of International Reference Ionosphere model (IRI‐2016) describing most important changes and improvements that were included with this discussing their impact on IRI predictions ionospheric parameters. IRI‐2016 includes two new options for F 2 peak height h m a better representation topside ion densities at very low high solar activities. In addition, number smaller made concerning use indices speedup computer program. We also review...

The dilated convolution algorithm, which is widely used for image segmentation, applied in the classification field this paper. In many traditional algorithms, neural network (CNN) plays an important role. However, classical CNN has problem of consuming too much computing resources. To solve problem, first, paper proposed a model built through replacing kernels by kernels, and then, tested on Mnist handwritten digital recognition data set. Second, to detail loss model, hybrid (HDC) stacking...

Monodisperse PtCu nanoparticles have been synthesized and can be self-assembled <italic>via</italic> adding oleylamine (OAM), they show higher activity, stability better CO tolerance compared with Pt/C toward the methanol oxidation reaction.

Single-crystalline titanium nitride nanowires have been directly synthesized by a novel chemical vapor deposition method and used as efficient catalysts for hydrogen evolution reaction the first time.

We initiated a self-adjusted oxygen-partial-pressure approach to prepare high-performance Li2MnO3–LiMO2 cathode material. Four different lithium resources, acetate, hydrate, carbonate, and nitrate were used create the local oxygen partial pressure over samples. Since melting points or decomposition temperatures for these resources decrease in sequence, Li2CO3 ≈ LiOH > LiNO3 CH3COOLi, of four crucibles that contain salts increases S4 S3 < S2 S1 air muffle furnace (S1: CH3COOLi·2H2O, S2:...

As an intersection of artificial intelligence and human communication analysis, Emotion Recognition in Conversation (ERC) has attracted much research attention recent years. Existing studies, however, are limited adequately exploiting latent relations among the constituent utterances. In this paper, we address issue by proposing a novel approach named Latent Relation-Aware Graph Convolutional Network (LR-GCN), where both speaker dependency interlocutors is leveraged correlations utterances...

An improved positioning algorithm for dual Mach-Zehnder interferometry (DMZI) disturbance sensing system is proposed. We employ zero-crossing method, which can be computed easily to extract the signal segment with maximum rate. Meanwhile, we use general cross correlation based on Wiener filtering and G <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">nn</sub> subtraction weighting function (WG-GCC) estimate time delay of extracted signal, robust...

The text presented in videos contains important information for content analysis, indexing, and retrieval of videos. key technique extracting this is to find, verify, recognize video various languages fonts against complex backgrounds. In paper, we propose a novel method that combines corner response feature map transferred deep convolutional neural networks detecting recognizing text. First, use detect candidate regions with high recall. Next, partition the into lines by projection analysis...

Developing an intrusion event identification scheme, which concurrently possesses high recognition accuracy and efficiency, has been intractable task in optical fiber perimeter security systems. To achieve accuracy, we apply the all-phase filter (APF) bank frequency division choose envelope fluctuation parameter to describe waveform feature of APFs' outputs. introduce random forest classifier recognize types, not only alleviates negative effect arising from occasionality or randomness...

The non-contact detection of human vital signs (i.e., respiration rate (RR) and heartbeat (HR)) using a continuous-wave (CW) Doppler radar sensor has great potential for intensive care monitoring, home healthcare, etc. However, large-scale fast random body movement (RBM) been bottleneck sign single CW radar. To break this dilemma, study proposed scheme combining adaptive noise cancellation (ANC) with polynomial fitting, which could retrieve the weak components both signals that were...

A dual-function solar cell antenna is presented for wideband communication and optical energy harvesting. In the proposed design, four cells have been adopted as harvesting array both wireless simultaneously. The radiation performances of are measured experiment conducted to verify its abilities To clarify effects on performance, another copper with same structure fabricated comparison. technology can integrate green battery components, makes it promising communication, clean energy,...

Multimodal emotion recognition in conversations (ERC) aims to identify the emotional state of constituent utterances expressed by multiple speakers dialogue from multimodal data. Existing ERC approaches focus on modeling global context and neglect mine characteristic information corresponding same speaker. Additionally, different modalities exhibits commonality diversity for expression. The are compensated each other but not effectively exploited previous works. To tackle these issues, we...

We propose a time delay estimation (TDE) method based on continuous wavelet transform (CWT), which can be applied to the different-wavelength-based fiber interferometric vibration sensors. Using CWT-based characteristic extraction algorithm, we successfully eliminate asymmetry of interference outputs that would seriously deteriorate positioning accuracy sensor. A measurement experiment using an asymmetric dual Mach-Zehnder sensor was carried out verify effectiveness proposed method. The...

Thin CuO_x-based nanosheets with structural memory were prepared by ions exchange of layered double oxides for efficient phenol removal.

A low-profile and wideband patch antenna is proposed for base station applications. In order to realize a wide band, two types of slots are adopted three resonant modes constructed within band interest. The mode analysis conducted clarify the performance. designed has an impedance bandwidth 52.7% (from 1.62 2.78 GHz) with structure 0.7λ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0</sub> × 0.47λ 0.084λ , where λ free-space wavelength at...

The Magnéli phase Ti₈O₁₅ nanowires have been synthesized and used as conductive carbon-free supports to load Pt nanoparticles for direct methanol oxidation reaction (MOR) with higher performance.

To address problems of high cost, complicated process and low accuracy oxygen content measurement in flue gas coal-fired power plant, a method based on long short-term memory (LSTM) network is proposed this paper to replace sensor estimate boilers. Specifically, first, the LSTM model was built with Keras deep learning framework, further improved by selecting appropriate super-parameters through experiments. Secondly, content, as leading variable, combined mechanism boiler primary auxiliary...

In this letter, we propose a novel Interactive Multimodal Attention Network (IMAN) for emotion recognition in conversations. IMAN introduces cross-modal attention fusion module to capture interactions of multimodal information, and employs conversational modeling explore the context information speaker dependency whole conversation. Concretely, captures complementary among pre-extracted unimodal features from textual, visual, acoustic modalities based on block. Afterward, updated each...

Foundation models of time series have not been fully developed due to the limited availability large-scale and underexploration scalable pre-training. Based on similar sequential structure natural language, increasing research demonstrates feasibility leveraging large language (LLM) for series. Nevertheless, prior methods may overlook consistency in aligning resulting insufficient utilization LLM potentials. To exploit general-purpose token transitions learned from modeling, we propose...

Pt nanoparticles anchored on nitrogen-self-doped three-dimensional graphene-like networks (Pt/N-3D GNs) exhibit enhanced ORR performance and are highly stable.