Accurate estimation of ground elevation on a large scale is essential and worthwhile in topography, geomorphology, ecology. The Ice, Cloud Land Elevation Satellite-2 (ICESat-2) mission, launched September 2018, offers an opportunity to obtain global data over the earth's surface. This paper aimed evaluate performance ICESat-2 for retrieval. To fulfill this objective, our study first tested availability existing noise removal photon identification algorithms data. Second, accuracy retrieved...

Abstract Health monitoring and fault diagnosis of rolling bearings are crucial for the continuous effective operation mechanical equipment. In order to improve accuracy BP neural network in bearings, a feature model is established from vibration signals an improved genetic algorithm used optimize initial weights, biases, hyperparameters network. This overcomes shortcomings network, such as being prone local minima, slow convergence speed, sample dependence. The fully considers degree...

Most successful object detectors are anchor-based, which is difficult to adapt the diversity of traffic objects. In this paper, we propose a novel anchor-free method, called FII-CenterNet, introduces foreground information eliminate interference complex background in scenes. The region proposal network segments based on boxes-induced segmentation annotation, and midground proposed provide rich edge addition location, scale also introduced improve regression performance. Extensive...

Soil degradation caused by mining activities has seriously affected the ecological environment of areas. Improving soil quality is key to solving this problem. This study examined impact adding Effective Microorganism (EM) agents and maize straw from dump Ordos Rongheng open-pit coal mine. We conducted a two-factor complete experiment, varying amounts EM (0 g·kg−1, 0.1 0.2 0.3 0.4 g·kg−1) 5 10 15 20 g·kg−1). Changes in soil’s physical, chemical, biological properties were assessed using...

Large-scale coal mine dumps are formed during the mining process of resources. These comprise impoverished soil, posing significant challenges for vegetation restoration. To address this problem, soil microbial (EM) agents and fly ash have effectively improved quality. However, effects different application ratios on quality sandy in still unclear. This study aims to explore applicable ratio dumps. employed a field-based potted experiment design. A two-factor complete factorial experimental...

With the development of communication technology, in order to meet smart city's demand for intelligent infrastructure, street lighting system based on NB-IoT is an effective method realize goal. This paper elaborates system's architecture, including perception and control layer, transport platform layer application layer. In addition, actual built verify. uses STM32 build controller, relies China Telecom's network data transmission, finally using IoT management platform-Huawei OceanConnect-...

Industry 4.0 promotes manufacturing and process industry towards digitalization intellectualization. Edge computing can provide delay-sensitive services in industrial processes to realize intelligent production. Lightweight virtualization technology is one of the key elements edge computing, which implement resource management, orchestration, isolation without considering heterogenous hardware. It has revolutionized software development deployment. The scope this review paper present an...

As the main food source of world's population, grain quality safety is great significance to healthy development human beings. The supply chain characterized by its long life cycle, numerous and complex business data, difficulty defining private information, difficult managing sharing. In order strengthen ability information application processing coordination under many risk factors, an management model suitable for studied based on blockchain multi-chain technology. First, key links in...

In the industrial sector, accurate fault identification is paramount for ensuring both safety and economic efficiency throughout production process. However, due to constraints imposed by actual working conditions, motor state features collected are often limited in number singular nature. Consequently, extending extracting these pose significant challenges diagnosis. To address this issue strike a balance between model complexity diagnostic accuracy, paper introduces novel termed FSCL...

In response to the agility demands of Industry 5.0, this study pioneers a laboratory-based prototype DAO-powered, cyber-physical-social system (CPSS) employing intelligent collaborative robots for parallel manufacturing and management. We introduce concept Parallel Triplets, integrating microphysical dimension into existing digital physical realms twin, enabling faster realization simultaneous execution production tasks. This facilitates decentralized DAO framework where agents, guided by...

sand barriers degrade under sunlight exposure, resulting in diminished protective performance and shortened service life desertification control. To address the unresolved issue of photoinduced damage degradation barriers, we conducted simulations to assess accelerated effect ultraviolet (UV) rays during solar exposure

As an important power facility for transmission corridors, automatic three-dimensional (3D) reconstruction of the pylon plays role in development smart grid. In this study, a novel method using airborne LiDAR (Light Detection And Ranging) point cloud is developed and tested. First, principal component analysis (PCA) algorithm performed redirection based on structural feature upper part pylon. Then, similarity pylon, divided into three parts that are inverted triangular pyramid lower...

In this letter, a small target detection method in sea clutter background is proposed based on multiview polarization features and localized one-class support vector machine (LOCSVM). the method, three views of that represent divergence between are extracted: 1) study scattering characteristics shows dominant components cell (TC) sphere diplane scattering, while mechanism varied affected by conditions. Therefore, relative powers extracted polarimetric matrix; 2) Because definite shaped...

With the integration development of Internet Things, edge computing, cloud computing and artificial intelligence, paradigm centered on traditional has begun to integrate paradigm, forming an industrial Things revolution based Cloud-Edge collaboration. It not only can improve response speed field system reduce load pressure network bandwidth caused by data transmission, but also realize refined management devices deep mining platform. In short, platform play their respective advantages...

Agent-based simulation is a useful approach for the analysis of dynamic population evolution. In this field, existing models mostly treat migration behavior as result utility maximization, which partially ignores endogenous mechanisms human decision making. To simulate such process, article proposes new cognitive architecture called two-layered integrated cycle (TiDEC) characterizes individual's decision-making process. Different from previous ones, hybrid incorporates deep neural networks...

A variety of heterogeneous information is produced after the application various emerging technologies in education, which great research value as educational assets. The traditional asset management system has emerged. In view disadvantages centralization process, people begin to use decentralized blockchain technology for innovation. This paper proposes an digital architecture based on 3.0 system, forms data formed by students and out class learning courseware experience generated teachers...

With the advent of awareness toward quality life by people has kindled a widespread investment and concern in science community for better biomedical product new technologies. Biomedical health is no longer limited to pharmaceutical drugs but monitoring daily body vitals prevention improved diagnostics getting lot attentions. In this paper, we are going use wireless area network technology (WBANT) patient's condition given system. emerging practical WBANT, scientists have proposed many...

The extensive proliferation of urban transit cards and smartphones has witnessed the feasibility collection citywide travel behaviors estimation traffic status in real-time. In this paper, an public dynamic network based on cyber-physical-social system (CPSS-UPTDN) is proposed as a universal framework for advanced transportation systems, which can optimize big data AI methods. Firstly, we introduce three modules two loops composes novel framework. Then, key technologies CPSS-UPTDN are...

Spaceborne full-waveform LiDAR has shown unique advantages in measuring global surface elevation. Laser footprints generally have decimeter-level vertical accuracy, meeting the requirement of ground elevation control points. In contrast, footprint horizontal geolocation accuracy is meter to ten-meter levels. Although previous researches attempted locate coordinate based on digital model (DSM), applicability and performance DSM-based positioning method evaluating should be rigorously assessed...

In the Internet of Things (IoT) scenario, hardware resources in edge computing paradigm are limited, so applications cloud not suitable for computing. New system architecture and key technologies needed application implement deployment Based on performance constraints scene functional requirements under computing, this paper designs develops a microservice So it introduces design And analyzes system. It selects PostgreSQL database to achieve data storage, Flask framework build back-end...

The rapid development of the Cloud Computing Technologies (CCTs) has amended conventional design resource-constrained Network Control System (NCS) to powerful and flexible Cloud-Based Networked (CB-NCS) by relocating processing part cloud server. This arrangement produced many internets based exquisite applications. However, this new also raised network security challenges for cloud-based control system related cyber-physical system. In absence robust verification methodology, an attacker...