Integrated quantum key distribution (QKD) systems based on photonic chips have high scalability and stability, are promising for further construction of global communications networks. On-chip light sources a critical component fully integrated QKD system; especially continuous-variable (CV-QKD) system coherent detection, which has extremely requirements the sources. Here, what we believe is first time, designed fabricated two on-chip tunable lasers CV-QKD, demonstrated high-performance...

Although Federated Deep Learning (FDL) enables distributed machine learning in the Internet of Vehicles (IoV), it requires multiple clients to upload model parameters, thus still existing unavoidable communication overhead and data privacy risks. The recently proposed Swarm (SL) provides a decentralized approach for unit edge computing blockchain-based coordination. A Swarm-Federated framework IoV system (IoV-SFDL) that integrates SL into FDL is this paper. IoV-SFDL organizes vehicles...

Multi-vehicle pursuit (MVP) such as autonomous police vehicles pursuing suspects is important but very challenging due to its mission and safety-critical nature. While multi-agent reinforcement learning (MARL) algorithms have been proposed for MVP in structured grid-pattern roads, the existing use random training samples centralized learning, which leads homogeneous agents showing low collaboration performance. For more problem of multiple evaders, these typically select a fixed target...

Large Language Models (LLMs) demonstrate remarkable capabilities, yet struggle with hallucination and outdated knowledge when tasked complex reasoning, resulting in factually incorrect outputs. Previous studies have attempted to mitigate it by retrieving factual from large-scale graphs (KGs) assist LLMs logical reasoning prediction of answers. However, this kind approach often introduces noise irrelevant data, especially situations extensive context multiple aspects. In way, LLM attention...

Collision-free trajectory planning in narrow spaces has become one of the most challenging tasks automated parking scenarios. Previous optimization-based approaches can generate accurate trajectories, but these methods cannot compute feasible solutions with extremely complex constraints a limited time. Recent research uses neural-network-based that time-optimized trajectories linear However, generalization neural network models different scenarios not been considered thoroughly and risk...

Since the position of classroom surveillance camera is not fixed, angle face captured through video also different. The deep learning-based verification model has achieved good results in controlled environments, but there still much room for improvement ability uncontrolled environments. performance depends only on network quality and diversity dataset. current Asian dataset an environment insufficient; this reason, paper constructs a Chinese (UCEC-Face) environment, which collected by 35...

This article studies a type of comparative in Mandarin Chinese, which has rarely been discussed the literature (Cheng 1966). I refer to them as Differential Verbal Comparatives (DVCs). show that DVCs, unlike Chinese adjectival and adverbial comparatives, allow differentials are definite DPs, for example, Jane Eyre he Pride Prejudice 'Jane Prejudice'. Based on this fact other empirical differences between DVCs adjectival/adverbial comparatives motivate develop mapping-based semantic analysis...

The wealth of data and the enhanced computation capabilities Internet Vehicles (IoV) enable optimized motion control vehicles passing through an intersection without traffic lights. However, more intersections demands for privacy protection pose new challenges to optimization. Federated Learning (FL) can protect via model interaction in IoV, but traditional FL methods hardly deal with transportation issue. To address aforementioned issue, this study proposes a Traffic-Aware Imitation...

Aiming at the problem of limited transmission energy liquid crystal tunable filter (LCTF), a dual-wavelength system with high signal-to-noise ratio (SNR) is proposed in this paper. The factor Qp main influence on number and location wavelengths as well bandwidth each wavelength for systems. Dual-wavelength LCTF can improve effective by increasing filtering channels, be increased about 1.8 times 70% short long wavelengths, respectively, which improves system. Moreover, even possible to...

Entity alignment aims at integrating heterogeneous knowledge from different graphs. Recent studies employ embedding-based methods by first learning the representation of Knowledge Graphs and then performing entity via measuring similarity between embeddings. However, they failed to make good use relation semantic information due trade-off problem caused objectives embedding neighborhood consensus. To address this problem, we propose Relational Distillation for Alignment (RKDEA), a Graph...

Post-stroke transcranial magnetic stimulation (TMS) has gradually become a brain intervention to assist patients in the recovery of motor function. The long lasting regulatory TMS may involve coupling changes between cortex and muscles. However, effects multi-day on after stroke is unclear.This study proposed quantify three-week activity muscles movement performance based generalized cortico-muscular-cortical network (gCMCN). gCMCN-based features were further extracted combined with partial...

Drowsy driving is one of the major causes in traffic accidents worldwide. Various electroencephalography (EEG)-based feature extraction methods are proposed to detect drowsiness, name a few, spectral power features and fuzzy entropy features. However, most existing studies only concentrate on each channel separately identify making them vulnerable variability across different sessions subjects without sufficient data. In this paper, we propose method called Tensor Network Features (TNF)...

This paper delineates the evidential system of Nuosu Yi, which is found to be comprised a reported and an inferred evidential. We first describe semantics two evidentials in Yi interaction between them terms double marking. Then we analyze by examining its relation verb speech (in)direct speech, demonstrate how expressions give rise Finally, syntactic tests are used draw clear-cut line epistemic modal Yi.

Due to the expansion of new energy sources, complexity and difficulty power grid dispatching are further increased, especially simultaneously considering security, economic environmental factors. Existing methods, such as bisection method proportional control, not competent for multi-objective complex dispatching. This paper proposes a hierarchical multi-object deep deterministic policy gradient (HMO-DDPG) algorithm dispatch smart with sources. In this algorithm, lower Decision Layer uses...

Internet hotspot events spread quickly and have a significant influence on the Internet, becoming focus of monitoring public opinion. Due to gradual fermentation these events, scope transmission, number participants, event's constantly change. Therefore, propagation model with fixed parameters cannot accurately describe law events. To address issues, this paper proposes an adaptive SEIR model, called SEIR-A, which incorporates dynamic infection rate. This enhances traditional by considering...