Object detection is a crucial task in autonomous driving. Currently, object-detection methods for driving systems are primarily based on information from cameras and light ranging (LiDAR), which may experience interference complex lighting or poor weather. At present, the 4-D ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${x}$ </tex-math></inline-formula> , notation="LaTeX">${y}$ notation="LaTeX">${z}$...

Intrinsically disordered proteins (IDPs) play pivotal roles in various biological functions and are closely linked to many human diseases including cancer, diabetes Alzheimer disease. Structural investigations of IDPs typically involve a combination molecular dynamics (MD) simulations experimental data correct for intrinsic biases simulation methods. However, these hindered by their high computational cost scarcity data, severely limiting applicability. Despite the recent advancements...

Featuring agile controllability, high-level autonomy, and powerful field operational advantages, autonomous surface vessels (ASVs) are gaining increasing attention worldwide. Central to the control of ASVs, path planning is one key technologies that ensure navigation safety. However, many previous works solve problem find a collision-free shortest path, but solutions not satisfied by safety requirements non-holonomic constraints ASVs. This paper expands on our work improved artificial fish...

3D object detection and occupancy prediction are critical tasks in autonomous driving, attracting significant attention. Despite the potential of recent vision-based methods, they encounter challenges under adverse conditions. Thus, integrating cameras with next-generation 4D imaging radar to achieve unified multi-task perception is highly significant, though research this domain remains limited. In paper, we propose Doracamom, first framework that fuses multi-view for joint semantic...

This paper presents a target tracking algorithm based on 4D millimeter-wave radar point cloud information for autonomous driving applications, which addresses the limitations of traditional 2 + 1D systems by using higher resolution that enables more accurate motion state estimation and contour information. The proposed includes several steps, starting with ego vehicle’s velocity radial cloud. Different clustering suggestions are then obtained density-based method, correlation regions targets...

This paper addresses the hardware challenges faced in developing a practical silent speech interface (SSI) for post-laryngectomy rehabilitation. Although number of SSIs have been developed, many are still deemed as impractical due to high degree intrusiveness and discomfort, hence limiting their transition outside laboratory environment. The aim this is build upon our previous work, user-centric prototype enhancing its desirable features. A new Permanent Magnet Articulography (PMA) system...

Abstract To improve the application range of decision‐making systems for connected automated vehicles, this paper proposes a cooperative approach multiple driving scenarios based on combination multi‐agent reinforcement learning with centralized planning. Specifically, authors derived tasks from and computed policy functions different as linear combinations set specific tasks. Then, classified vehicle coalitions according to relationships between vehicles used planning methods determine...

As an advanced manufacturing model, cloud manufacturing(CMfg) has made great progress in recent years. The concept of CMfg been introduced to many industries. With the growing diversity products, complexity service encapsulation is also increasing. To solve problem product-oriented standardized encapsulation, Bills Standard Manufacturing Service(BOSS) proposed. It can systematically deployment, registration and management services whole product life cycle. In this paper, based on ontology we...

<title>Abstract</title> Intrinsically disordered proteins (IDPs) play pivotal roles in various biological functions and are closely linked to many human diseases including cancer, diabetes Alzheimer disease. Structural investigations of IDPs typically involve a combination molecular dynamics (MD) simulations experimental data correct for intrinsic biases simulation methods. However, these hindered by their high computational cost scarcity data, severely limiting applicability. Despite the...

The rapid advancement of deep learning has intensified the need for comprehensive data use by autonomous driving algorithms. High-quality datasets are crucial development effective data-driven solutions. Next-generation must be multimodal, incorporating from advanced sensors that feature extensive coverage, detailed annotations, and diverse scene representation. To address this need, we present OmniHD-Scenes, a large-scale multimodal dataset provides omnidirectional high-definition data....

Ensuring the freshness of high Value Information (VoI) data has a significant practice meaning for marine observations and emergencies. The traditional forward method with an auv-aid is used to ensure VoI data. However, methods suffer from two issues: insufficient throughput random forwarding cluster heads (CHs). AUV (Autonomous Underwater Vehicle) limited energy cannot meet demand generation Low packets compete channels, resulting in low freshness. To address above issues, we propose Data...

Dynamic positioning (DP) is one of the key technologies in various offshore operations. This paper investigates machine learning (ML) techniques, more specifically reinforcement (RL) DP applications for deepwater drilling rigs. An RL-based control algorithm with deep Q-learning network proposed. To guarantee safe operation underwater riser, a comprehensive reward function respect to top and bottom angles riser designed. Compared traditional methods, proposed shows good performance while...

Appraisal model of estate market comparison approach existed uncertain problem, so a new appraisal integration GIS and set pair analysis was built.Firstly, using the spatial method quantified real price impact factors.Then, its weights were calculated by entropy weight method.Lastly, we developed application with technology, some prices.The result shows that can improve efficiency accuracy, it will have widely prospect in rapid quantized price.

Wind induced disasters cause conductor strand breakage, wire hardware damage, interphase short circuit, pole reversal and other accidents of overhead transmission lines. This seriously threatens the safe operation In order to study mechanism wind vibration lines prevent Taking JL/G1A-400/35 line as an example, this paper constructs differential equation line, solves natural frequency through equation. addition, finite element simulation method is used build geometric model calculated modal...

Background: Activation of the human interferon-inducible protein X (IFIX) isoform is linked to a stable cytoskeleton and inhibition epithelial-mesenchymal transition (EMT). However, precise mechanisms pathways underlying IFIX-mediated oncogenesis remain poorly understood.Methods Results: IFIX overexpression knockdown in CAL-27 SCC-25 oral squamous cell carcinoma cells induced active variations expression E-cadherin, N-cadherin, vimentin, Snail, as well changes Wingless/Integrated (Wnt)...

The artificial intelligence-aided diagnosis model of rib fractures based on YOLOv3 algorithm was established and applied to practical case explore the application advantages in fracture cases forensic medicine.DICOM format CT images 884 with caused by thoracic trauma were collected, 801 them used as training validation sets. A Darknet53 backbone network built. After established, 83 taken test set, precision rate, recall F1-score radiology interpretation time calculated. diagnose a compared...

Purpose: To carry out a post-marketing evaluation of the stability and drug dissolution Qingkailing soft/hard capsules.Methods: High performance liquid chromatography with diode array detection (HPLC-DAD) method was developed for determination three key ingredients (chlorogenic acid, geniposide baicalin) fingerprints QKL capsules. Stability tests were carried based on long-term testing. The release profile soft hard capsules studied using semi-bionic incubation experiments.Results:...

With the adjustment of China’s economic structure, it is essential for manufacturing enterprises, especially SMEs, to improve their core competitiveness. Based on service mode Cloud manufacturing, this paper designs and develops a cloud platform SMEs. Firstly, according characteristics overall framework determined, corresponding function tree refined. Then, key technologies are studied, including modeling standardization services, matching task, execution, online monitoring service,...