A5100547851- Robotic Path Planning Algorithms
- Visual Attention and Saliency Detection
- Video Surveillance and Tracking Methods
- Infrared Target Detection Methodologies
- Methane Hydrates and Related Phenomena
- Transportation Safety and Impact Analysis
- Geological and Geochemical Analysis
- Metaheuristic Optimization Algorithms Research
- Geological and Geophysical Studies
- earthquake and tectonic studies
- Structural Response to Dynamic Loads
- Hydrocarbon exploration and reservoir analysis
- Automotive and Human Injury Biomechanics
- Hydrogen Storage and Materials
- Complexity and Algorithms in Graphs
- Security and Verification in Computing
- Scientific and Engineering Research Topics
- Catalytic Processes in Materials Science
- Intravenous Infusion Technology and Safety
- Optimization and Packing Problems
- Mining and Gasification Technologies
- Emotion and Mood Recognition
- Big Data Technologies and Applications
- Combustion and Detonation Processes
- RNA and protein synthesis mechanisms
Sichuan University
2024-2025
Chengdu University
2024-2025
Nanjing University of Science and Technology
2023-2024
Beijing University of Chemical Technology
2024
Ningxia University
2023
Xidian University
2023
Chongqing Jiaotong University
2023
Hefei University of Technology
2022-2023
Beijing Institute of Technology
2022
Shenzhen University
2022
The advantages of ammonia as a hydrogen carrier have led to proposals for on-site production through its decomposition. Rapid cold start decomposition is crucial applications such ammonia-powered vehicles, but conventional heating methods are challenged by the high temperature ammonia. In this study, we successfully achieved rapid using Co nanoparticle catalysts driven magnetic induction heating, demonstrating excellent catalytic performance and stability. heating-driven system was...
Given the widespread adoption of depth-sensing acquisition devices, RGB-D videos and related data/media have gained considerable traction in various aspects daily life. Consequently, conducting salient object detection (SOD) presents a highly promising evolving avenue. Despite potential this area, SOD remains somewhat under-explored, with video (VSOD) traditionally studied isolation. To explore emerging field, paper makes two primary contributions: dataset model. On one front, we construct...
Abstract The North Qaidam tectonic belt is characterized by the development of high-pressure to ultrahigh-pressure eclogite formed during deep subduction continental lithosphere. However, processes that occurred prior collision/subduction are relatively poorly studied and this leads controversy over evolutionary history belt. In contribution, we present an integrated study field observations, petrography, geochronology, geochemistry (whole-rock major elements, trace Sr–Nd isotopes as well...
Abstract Nowadays, the air conditioner (AC), as an important guarantee for driving comfort and endurance, has attracted more attention. The pipe connecting refrigerator outlet of cockpit instrument panel is known duct. Its structural characteristics fluid flow are related to refrigeration efficiency whole conditioning system. supply performance duct directly affects uniformity temperature field speed in car, thus affecting car [2]. Limited by layout space, design most difficult part...
Abstract Under vertical impact loads, such as explosions, serious compressive deformation occurs in the pelvic bones and lumbar vertebrae of human body leading to injuries or fatalities for occupants. This study focuses on occupant-seat model military vehicles, establishes a biomechanical spine, relationship between loads injuries. Subsequently, C-shaped energy-absorbing cushioning structure is designed application at bottom support seat. Using peak value 50 g explosion-simulated triangular...
In the process of military missions, special vehicles often encounter shallow buried charge threats that will greatly affect safety occupants. To study integrated effects detonation point, height-to-diameter ratio, burial inclination, weight, and other key parameters on lower limb injuries occupant, this was based body a explosive test numerical calculation methods. The reliability model load effect mechanism were studied. Based this, response law occupant analyzed with respect to each...
RGB-D (depth) Salient Object Detection (SOD) seeks to identify and segment the most visually compelling objects within a given scene. Depth data, known for their strong discriminative capability in spatial localization, provide an advantage achieving accurate SOD. However, recent research this field has encountered significant challenges due poor visual qualities disturbing cues raw depth maps. This issue results indistinct or ambiguous features, which consequently weaken performance of To...
Trajectory optimization problem for hypersonic vehicles has long been recognized as a difficult problem. This paper brings control constraints into the trajectory to make optimal meet requirements of performance. The strong nonlinear characteristic ascent phase aerodynamics makes be solved by theory. A algorithm based on improved pigeon-inspired (PIO) is proposed solve complex under multiple constraints. To overcome obstacle premature convergence and deceptiveness, evolutionary strategy...
An improved Gaussian Pigeon-inspired Optimization algorithm is proposed to maintain diversity and improve the accuracy of global optimum. In algorithm, mutation used exploration, judgment on optimum The simulation results show that preserves early evolution avoid premature convergence. addition, improves entire shows excellent performance in optimization proved be effective for solving multimodal non-convex problems with higher dimensions.
An improved pigeon-inspired optimization (PIO) algorithm for global numerical is proposed to perceive deceptiveness and preserve diversity. In the algorithm, quantum evolution introduced into PIO solve problem that prone fall local optimal. The applied hypersonic vehicle trajectory under multiple constraints. simulation results show performance of optimal ascent obtained by improved, which also proves effectiveness algorithm.
Millions of smart contracts have been deployed onto the Ethereum platform, posing potential attack subjects. Therefore, analyzing contract binaries is vital since their sources are unavailable, involving identification comprising function entry and detecting its boundaries. Such boundaries critical to many applications, e.g. reverse engineering profiling. Unfortunately, it challenging identify functions from these stripped due lack internal call statements compiler-inducing instruction...
With the rapid development of information technology, big data technology has become one important pillars today's society. However, wide application also brought more security threats and challenges, among which computer network a focus that needs to be solved urgently. This thesis aims study current situation challenges in context data, analyze advantages disadvantages existing measures, put forward improvement programs better protect era data.