In a three-dimensional (3D) disaster rescue mission environment, multi-drone assignments and path planning are challenging. Aiming at this problem, assignment method based on adaptive genetic algorithms (AGA) using sine–cosine particle swarm optimization (SCPSO) proposed. First, an original 3D digital terrain model is constructed. Second, common threat sources in environments modeled, including mountains, transmission towers, severe weather. Third, cost–revenue function that considers...

Invasion incident pattern recognition is crucial for a distributed optical fiber vibration sensing system based on phase-sensitive time-domain reflectometer. Despite traditional identifying the signal, classification accuracy needs to be improved and classifier requires probabilistic output, in order ameliorate performance of recognition. A novel method proposed this paper. The characteristic vector extracted from original signal by wavelet energy spectrum analysis. output realized algorithm...

An optimal mission assignment and path planning method of multiple unmanned aerial vehicles (UAVs) for disaster rescue is proposed. In this application, the UAVs include drug delivery UAV, image collection communication relay UAV. When implementing modeling simulation, first, three threat sources are built: weather source, transmission tower upland source. Second, a cost-revenue function constructed. The flight distance, oil consumption, descriptions source factors above considered. analytic...

Multimodal Large Language Models (MLLMs) are typically based on decoder-only or cross-attention architectures. While MLLMs outperform their counterparts, they require significantly higher computational resources due to extensive self-attention and FFN operations visual tokens. This raises the question: can we eliminate these expensive while maintaining performance? To this end, present a novel analysis framework investigate necessity of costly in MLLMs. Our introduces two key innovations:...

We introduce a method for learning low-dimensional linear feedback strategies the control of physics-based animated characters around given reference trajectory. This allows learned state abstractions and action abstractions, thereby reducing need to rely on manually designed such as center-of-mass or foot-placement actions. Once learned, compact structure allow simulated respond changes in environment goals. The approach is based policy search space reduced-order output matrices. show that...

Given the accelerated advancement of drones in an array application domains, imperative effective path planning has emerged as a quintessential research focus. Particularly intricate three-dimensional (3D) environments, formulating optimal flight for poses substantial challenge. Nonetheless, prevalent path-planning algorithms exhibit issues encompassing diminished accuracy and inadequate stability. To solve this problem, hybrid improved symbiotic organisms search (ISOS) sine–cosine particle...

Pedestrian detection plays an essential role in the navigation system of autonomous vehicles. Multisensor fusion-based approaches are usually used to improve performance. In this study, we aimed develop a score pedestrian algorithm by integrating data two light and ranging systems (LiDARs). We first evaluated two-stage object-detection pipeline for each LiDAR, including object proposal fine classification. The scores from these different classifiers were then fused generate result using...

Learning-based TOA-UWB localization methods have been developed rapidly in recent years and achieve state-of-the-art results complex scenes. However, they still suffer from two drawbacks: 1) biased measurements with large noise are not suppressed effectively, 2) geometric information which is important for UWB considered. Thus, we propose twofold strategies this paper to overcome these issues: A novel deep attention-based network proposed. In network, introduce the transformer encoder learn...

Fault tolerance plays a significant role in the safety-critical system design. Redundancy is key underlying approach, which enables to continue operation under presence of faults and improves its dependability properties such as reliability safety. Various fault-tolerant designs, have been proved consistently effective, proposed over past decades. In existing literature, common hardware software dependability-oriented architectures are discussed classified according their distinctive...

Redundancy mechanisms such as triple modular redundancy protect safety-critical components by replication and thus improve systems fault tolerance. However, the gained tolerance comes along with costs to be invested, e.g., increasing execution time, energy consumption, or packaging size, for which constraints have obeyed during system design. This turns question of finding suitable combinations protected into a challenging task number possible protection grows exponentially in components. We...

With the combination of model experiment and numerical simulation, we explore effect collapse height, weight, pipe‐soil stiffness ratio on dynamic strain shallow buried metal pipe under impact load. By analyzing at different measuring points pipeline, law pipeline load is obtained. Based range analysis variance significance analysis, it was found that has a more significant compared to height weight. Then, simulation method used further analyze response pipelines; following conclusions are...

Nowadays, Artificial Intelligence (AI) rapidly enters almost every safety-critical domain, including the automotive industry. The next generation of functional safety standards has to define appropriate verification and validation techniques propose adequate fault tolerance mechanisms. Several AI frameworks, such as TensorFlow by Google, have already proven be effective reliable platforms. However, similar any other software, AI-based applications are prone common random hardware faults,...

Seismic waves are widely used in ground target classification due to its inherent characteristics. However, they often affected by extraneous factors and have been found demonstrate a complicated nonlinear characteristic. The traditional signal analysis methods cannot effectively extract the features. Motivated this fact, paper applies fractal dimension (FD) based on morphological covering (MC) method features of seismic signals for targets classification. With data measured from test field,...

Industry 4.0 is the current trend of automation and data exchange in manufacturing technologies that focusing on creation smart factories with modular structured Cyber-Physical Systems (CPS), tight cooperation humans.This also implies systems become more complex, heterogeneous, distributed especially their network software parts.This makes CPS highly critical subject to failures at different levels, including software, hardware, human operators.Consequently, ensuring reliable safe operation...

Today, Deep Learning (DL) enhances almost every industrial sector, including safety-critical areas.The next generation of safety standards will define appropriate verification techniques for DL-based applications and propose adequate fault tolerance mechanisms.DL-based applications, like any other software, are susceptible to common random hardware faults such as bit flips, which occur in RAM CPU registers.Such can lead silent data corruption.Therefore, it is crucial develop methods tools...

Question understanding is an extremely important part of the question and answer (Q&A) system, which basis subsequent information retrieval extraction. In order to improve semantic question, we propose a method based on combination element for Chinese language. Firstly, uses lexical rules recognition extract elements questions recognizes functions according preprocessing pattern. Secondly, combining dependency analysis tree structure function type, it can produce elements. Finally,...

Concurrent processes of distributed systems might be not perfectly synchronized because various design limitations. This is a potential cause timing errors, e.g. data package from providing interface one component reaches required another too early or late. A error may result in that can propagate further and become reason system failure. paper introduces comprehensive method for stochastic, model-based analysis errors. Application the demonstrated at reference mechatronic system, medical...

Model-based design of embedded control systems becomes more and popular. Control engineers prefer to use MATLAB Simulink suitable automatic code generators for the development deployment software. provides a vast variety functionally equivalent solutions. For instance, proportional-integral-derivative (PID) controller can be implemented in using i) separate blocks P, I, D terms, ii) dedicated Discrete PID Controller block, iii) Transfer Function or iv) State-Space block. However, these...

A new polyphase sequences synthesis method based on chaotic maps is presented. The correlation properties of designed using this are analyzed and proved to be almost perfect. phase alphabet size can any positive non-zero even, the elements chosen arbitrarily by users. Simulation results show effectiveness design method.