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Articles 6181 - 6210 of 291689
Full-Text Articles in Physical Sciences and Mathematics
Systemic Risks Analysis In International Crude Oil Market: Evidence And Countermeasures, Han Zhang, Yuejun Zhang
Systemic Risks Analysis In International Crude Oil Market: Evidence And Countermeasures, Han Zhang, Yuejun Zhang
Bulletin of Chinese Academy of Sciences (Chinese Version)
Crude oil, often referred to as the “lifeblood” of the modern economy, plays a pivotal role in global economic stability and energy security. However, with the recurrence of crises in recent years, such as the the Russia-Ukraine conflict, escalating tensions in the Middle East, and intensifying trade frictions, the international crude oil market has been facing complex systemic risks, which are accelerated by persistent geopolitical conflicts, fragile supply-demand structures, and the intertwining of macroeconomic and financial uncertainties and so on. For China, with crude oil import dependence remaining above 70% for a prolonged period, economic and social development faces the …
Development Trends And Implications Of Muti-Objective Marine Environmental Forecasting Technology, Yineng Li, Yuhang Zhu, Shiqiu Peng, Zhiwu Chen, Xing Wei, Junmin Li, Shaodian Li, Peiwei Xie, Jiawen Liao, Yankun Gong, Shilin Tang, Shuqun Cai
Development Trends And Implications Of Muti-Objective Marine Environmental Forecasting Technology, Yineng Li, Yuhang Zhu, Shiqiu Peng, Zhiwu Chen, Xing Wei, Junmin Li, Shaodian Li, Peiwei Xie, Jiawen Liao, Yankun Gong, Shilin Tang, Shuqun Cai
Bulletin of Chinese Academy of Sciences (Chinese Version)
With the continuous expansion of global maritime activities and the steady advancement of the “maritime power” strategy, marine environmental security has become a top priority for China. In deep-sea areas, various environmental parameters such as temperature, salinity, sound velocity, wave dynamics, internal solitary waves, and nearshore rip currents play a crucial role in navigation safety and underwater equipment operations. Nevertheless, traditional single-parameter forecasting models are no longer sufficient to meet the demands of multi-objective environmental protection. As a result, there is a growing need for a high-resolution, multi-objective forecasting system that integrates basic oceanographic element predictions (such as temperature, salinity, …
Current Status And Prospects Of Ocean Data Reanalysis, Chuanyu Liu, Fan Wang
Current Status And Prospects Of Ocean Data Reanalysis, Chuanyu Liu, Fan Wang
Bulletin of Chinese Academy of Sciences (Chinese Version)
Ocean data reanalysis (ODR) is a technique that combines ocean observational data with ocean circulation models to produce gridded data with higher accuracy and greater spatiotemporal coverage. The generated reanalysis data serve as a foundational dataset for conducting oceanographic research and developing artificial intelligence-based large ocean models. This study reviews the technical approaches of ODR, the current status of global and regional ocean data reanalysis systems developed in the world, and puts forward recommendations for the development of China's ocean reanalysis system.
Oer Review For Open Programming: Java I - Creating An Oer Textbook For Programming Fundamentals, Peter Arsenault
Oer Review For Open Programming: Java I - Creating An Oer Textbook For Programming Fundamentals, Peter Arsenault
Open Educational Resources Publications
This report describes the creation and implementation of a seven‑chapter Open Educational Resource (OER) for Bentley University’s CS 180 – Programming Fundamentals course, developed from the author’s teaching notes, custom examples, and course materials from Fall 2024. The project aimed to provide current, accessible, digital‑first learning resources aligned with modern programming tools, supported by generative‑AI editing in NotebookLM and open‑source formatting tools such as pandoc and Marp. Implemented during Fall 2025, the OER received highly positive student feedback, particularly regarding its clarity, accessibility, and cost savings, and it is slated for further refinement—including updates for Java 25, expanded examples, and …
Topological Data Analysis Of New York City Taxi Trip Data Using Advanced Dimensionality Reduction And Clustering Techniques – Uncovering Structure And Timeliness, Mahalakshmi Sakthivel
Topological Data Analysis Of New York City Taxi Trip Data Using Advanced Dimensionality Reduction And Clustering Techniques – Uncovering Structure And Timeliness, Mahalakshmi Sakthivel
Theses and Dissertations
In this project, we used Topological Data Analysis (TDA) to explore the shape and structure of high-dimensional data and the timeliness dimension of information quality through topological data analysis, with the long-term goal of automatically computing timeliness values that reflect how useful data items are for decision making. The project followed a two-phase approach: in the first half, we employed the Kepler Mapper library along with techniques like Principal Component Analysis (PCA), Uniform Manifold Approximation and Projection (UMAP), T-SNE (t-Distributed Stochastic Neighbor Embedding) and Customized Embedding to analyze and visualize complex datasets. In the second phase, we specifically applied our …
Significance, Challenges, And Policy Recommendations For Strengthening Database Development To Support Ai For Science In China, Kaihua Chen, Hongxin Liu, Rui Guo
Significance, Challenges, And Policy Recommendations For Strengthening Database Development To Support Ai For Science In China, Kaihua Chen, Hongxin Liu, Rui Guo
Bulletin of Chinese Academy of Sciences (Chinese Version)
With the rapid emergence of research intelligence driven by big data and artificial intelligence (AI), high-quality, openly shared scientific databases have become a strategic focal point for scientific innovation and enhancing technological competitiveness. Major countries around the world are increasingly recognizing the foundational role of scientific databases in advancing basic research. While continuously strengthening their own scientific data infrastructure through a series of initiatives, they have simultaneously imposed restrictions and suppression on the development of AI technologies in China, including those involving research data. Against this backdrop, building an autonomous and controllable scientific data ecosystem to support research intelligence is …
Data Altruism: Eu Solution And Path Of Localization In China, Teng Wu
Data Altruism: Eu Solution And Path Of Localization In China, Teng Wu
Bulletin of Chinese Academy of Sciences (Chinese Version)
Data altruism transcends the profit-seeking, monopolistic and competitive nature of the market mechanism. It is driven by innovation and encourages data subjects and holders to share information guided by the public interest. As a new type of data application and service model, it aims to achieve a virtuous cycle of the data ecosystem while optimize the utilization of data resources. Tracing back to the source, the theoretical foundation of data altruism from the ethical theory of altruism, and the concept of its budding was supported by the data for good. Analysis shows that the specific scheme of the EU data …
Strategies For Enhancing China’S Energy Resilience: Trade-Offs Between Diversification And Localization, Zhongwei Song, Yu Zhao, Xiang Gao, Jiaofeng Pan
Strategies For Enhancing China’S Energy Resilience: Trade-Offs Between Diversification And Localization, Zhongwei Song, Yu Zhao, Xiang Gao, Jiaofeng Pan
Bulletin of Chinese Academy of Sciences (Chinese Version)
In recent years, intensified geopolitical conflicts worldwide have increasingly exposed the vulnerabilities of traditional energy security frameworks, necessitating a shift in perspective from “ensuring stable supply” to “building systemic resilience”. This study explores pathways to enhance China’s energy resilience, analyzes how diversification and localization strategies can strengthen national energy security, and reviews related policy practices. Building on this analysis and considering China’s current energy landscape, the study proposes that in the short term, emphasis should be placed on diversifying import sources and routes while strengthening domestic supply assurance. In the medium to long term, it is essential to accelerate the …
Technology Competition Risk Situation And Response Strategies In China’S Energy Sector Under Great Power Competition, Yong Shi, Shanghua Li, Fei Wu, Kun Guo
Technology Competition Risk Situation And Response Strategies In China’S Energy Sector Under Great Power Competition, Yong Shi, Shanghua Li, Fei Wu, Kun Guo
Bulletin of Chinese Academy of Sciences (Chinese Version)
With the advancement of the global energy transition and the intensification of global geopolitical uncertainties, technological competition in the energy sector has become a key area in the great power competition. This study constructs a logical framework for energy technology competition and reveals the new trends in current technological competition in the energy sector. On this basis, this study systematically analyzes the three main types of risks that China faces in energy technology competition and further proposes corresponding countermeasures. China must continuously enhance the core competitiveness and institutional voice over energy technology to achieve the strategic goals of energy security …
Internal Logic And Reform Suggestions Of Fiscal And Taxation Policies Supporting Construction Of New Energy System, Junming Zhu, Bofeng Li, Jiali Wang
Internal Logic And Reform Suggestions Of Fiscal And Taxation Policies Supporting Construction Of New Energy System, Junming Zhu, Bofeng Li, Jiali Wang
Bulletin of Chinese Academy of Sciences (Chinese Version)
Building a clean, low-carbon, safe and efficient new energy system is a core strategy for China to achieve its “dual carbon” goals and promote high-quality development. This endeavor involves not only technological innovation in energy production and consumption but also requires guidance and support from the national governance system. As a key instrument of modern national governance, the fiscal and taxation policies serve as a crucial way to guide energy production and consumption, promote technological innovation, and adjust the distribution of interests. In light of the current multidimensional goals of energy transition—particularly the inherent tension between “clean and low-carbon” and …
Market-Oriented Reform In China’S Oil And Gas Industry: Current Dynamics And Strategic Pathways, Min Shi, Yuan Xue, Xunpeng Shi, Dayong Zhang
Market-Oriented Reform In China’S Oil And Gas Industry: Current Dynamics And Strategic Pathways, Min Shi, Yuan Xue, Xunpeng Shi, Dayong Zhang
Bulletin of Chinese Academy of Sciences (Chinese Version)
China’s oil and gas market-oriented reform, developed through decades of exploration, has established a structure featuring multi-entity exploration in the upstream, independent operation of the national pipeline network in the midstream, and diversified competition in the downstream. Nevertheless, systemic challenges persist. A highly concentrated supply structure poses risks to energy security, while inadequate competition and limited market openness constrain operational efficiency. The green transition is hampered by insufficient policy coordination and economic viability barriers, and R&D transformation bottlenecks impede technological innovation. Furthermore, regional disparities in public service provision undermine social equity. Resolving these contradictions necessitates a systematic approach to reconfigure …
Thoughts On Accelerating The Capture Of Technological High Ground For Precise Marine Environmental Assurance, Yuantao Wu, Mingyue Wan, Deke Chen, Danhong Dong, Yao Yu, Miao Chen
Thoughts On Accelerating The Capture Of Technological High Ground For Precise Marine Environmental Assurance, Yuantao Wu, Mingyue Wan, Deke Chen, Danhong Dong, Yao Yu, Miao Chen
Bulletin of Chinese Academy of Sciences (Chinese Version)
The marine environment serves as a critical foundation for the development, utilization, protection, and governance of the ocean. Marine environmental support holds significant strategic importance for the exploitation of marine resources, ecological and environmental conservation, and the safeguarding of maritime rights and interests. It has become a strategic high ground in the new wave of marine technological innovation and development. This paper reviews the current status of global marine environmental support technologies, with a focus on the establishment and capabilities of the comprehensive “observation–forecasting–application–assessment” precision support technology system for the marine environment developed by the Chinese Academy of Sciences. It …
Frontiers In Ocean Non-Equilibrium Dynamics And Challenges In Operational Oceanography Application, Yuhong Zhang, Yan Du, Tianyu Wang, Minyang Wang, Qin Duan, Xinlong Li, Yuhang Zheng, Yifan Xia, Shilin Tang, Yineng Li, Jianping Yin
Frontiers In Ocean Non-Equilibrium Dynamics And Challenges In Operational Oceanography Application, Yuhong Zhang, Yan Du, Tianyu Wang, Minyang Wang, Qin Duan, Xinlong Li, Yuhang Zheng, Yifan Xia, Shilin Tang, Yineng Li, Jianping Yin
Bulletin of Chinese Academy of Sciences (Chinese Version)
Ocean circulation exhibits complex multiscale dynamics, among which non-equilibrium processes, marked by transient behavior, strong perturbations, and pronounced nonlinearity, are of particular importance for maritime environmental support. However, limited observational capability has long constrained the study of subsurface non-equilibrium dynamics, leaving numerical models insufficiently validated and positioning this issue at the forefront of modern physical oceanography. Artificial intelligence (AI) offers a promising pathway to overcome this bottleneck. Built on this concept, the “iEddy” AI large ocean model can efficiently reconstruct high-resolution, high-accuracy three-dimensional temperature, salinity, and velocity from sea-surface remote sensing data, demonstrating strong capability in capturing non-equilibrium ocean currents …
Satellite-Derived Bathymetry In Island Coastal Zones: Technology, Shilin Tang, Yuye Huang, Yongming Liu, Jianping Yin, Deke Chen, Ronggang Huang, Shuang Li
Satellite-Derived Bathymetry In Island Coastal Zones: Technology, Shilin Tang, Yuye Huang, Yongming Liu, Jianping Yin, Deke Chen, Ronggang Huang, Shuang Li
Bulletin of Chinese Academy of Sciences (Chinese Version)
Shallow bathymetry data constitute the core foundational information underpinning the ecological, resource, and strategic values of island and coastal zones. Satellite-derived bathymetry has evolved into a key technical means for large-scale acquisition of shallow bathymetry information. Focusing on satellite-based lidar bathymetry, optical imaging bathymetry, and synthetic aperture radar (SAR) bathymetry, this study systematically summarizes the core principles, applicable scenarios, technical strengths, and inherent limitations of each technology. It is shown that satellite-derived bathymetry has undergone an evolutionary shift from theoretical construction to practical application, and from single-method, single-data-source approaches to multi-technology, multi-source data fusion frameworks. In the future, to meet …
Innovative Applications And Development Paths Of Digital Earth Technology In Marine Environmental Support, Junyi Liu, Xiongfei Liu, Zongji Wang, Zhihong Zeng, Huiping Xie, Siye Liu
Innovative Applications And Development Paths Of Digital Earth Technology In Marine Environmental Support, Junyi Liu, Xiongfei Liu, Zongji Wang, Zhihong Zeng, Huiping Xie, Siye Liu
Bulletin of Chinese Academy of Sciences (Chinese Version)
The convergence of Digital Earth technologies and the field of marine environmental support represent a significant trend in global scientific and technological advancement. In response to the characteristics of marine environmental data such as sparsity, dynamic complexity, and multi-scale interdependence, and by integrating the evolution of international Digital Earth technology with China’s independent innovation practices, this study constructs three core methodological paradigms. The first is the element-integrated ontology, which proposes a hybrid representation paradigm of “spatiotemporal embedded field + ontology” to achieve integrated and dynamically evolving modeling of marine physical environments alongside geological, biological, chemical, and other multidimensional elements. The …
Transparent West-Pacific: Frontier Advances In Earth System Science, Lixin Wu, Jiwei Tian, Weidong Sun, Hailong Liu, Tianyu Chen, Zhimian Cao, Zhao Jing
Transparent West-Pacific: Frontier Advances In Earth System Science, Lixin Wu, Jiwei Tian, Weidong Sun, Hailong Liu, Tianyu Chen, Zhimian Cao, Zhao Jing
Bulletin of Chinese Academy of Sciences (Chinese Version)
The West-Pacific hosts a well-developed trench-arc-basin system characterized by intense fluid–solid interactions, making it an ideal region for studying multi-sphere interactions within the Earth system. Research on cross-sphere dynamic processes and material-energy cycles in the West-Pacific not only represents a core frontier in Earth System Science, but also crucial to addressing major strategic needs, such as global climate change response, sustainable use of marine resources, and protection of the deep-sea environment. This article highlights key advances achieved under the Major Program on West-Pacific Earth System Multispheric Interactions (WESPMI), in areas including multi-scale oceanic interactions, cross-sphere material exchange, plate subduction and …
Rogue Peakon, Posedness And Blow-Up Phenomenon For An Integrable Camassa–Holm Type Equation, Mingxuan Zhu, Zhenteng Zeng, Zaihong Jiang, Baoqiang Xia, Zhijun Qiao
Rogue Peakon, Posedness And Blow-Up Phenomenon For An Integrable Camassa–Holm Type Equation, Mingxuan Zhu, Zhenteng Zeng, Zaihong Jiang, Baoqiang Xia, Zhijun Qiao
School of Mathematical & Statistical Sciences Faculty Publications
In this paper, we study an integrable Camassa–Holm (CH) type equation with quadratic nonlinearity. The CH type equation is shown integrable through a Lax pair, and particularly the equation is found to possess a new kind of peaked soliton (peakon) solution – called rogue peakon, that is given in a rational form with some logarithmic function, but not a regular traveling wave. We also provide multi-rogue peakon solutions. Furthermore, we discuss the local well-posedness of the solution in the Besov space 𝐵𝑠𝑝,𝑟 with 1 ≤ p, r ≤ ∞, 𝑠 >max{1+1/𝑝,3/2} or 𝐵3/22,1 , and then prove the ill-posedness …
Gatos – Xi. Excess Dust Heating In The Narrow-Line Regions Of Nearby Agn Revealed With Jwst/Miri, Houda Haidar, David J. Rosario, Ismael García-Bernete, Almudena Alonso-Herrero, Anelise Audibert, Steph Campbell, Chris M. Harrison, Tiago Costa, Laura Hermosa Muñoz, Françoise Combes, Dimitra Rigopoulou, Claudio Ricci, Cristina Ramos Almeida, Enrica Bellocchi, Peter Boorman, Andrew Bunker, Richard Davies, Daniel Delaney, Tanio Díaz Santos, Federico Esposito, Enrique Lopez Rodriguez, Et. Al.
Gatos – Xi. Excess Dust Heating In The Narrow-Line Regions Of Nearby Agn Revealed With Jwst/Miri, Houda Haidar, David J. Rosario, Ismael García-Bernete, Almudena Alonso-Herrero, Anelise Audibert, Steph Campbell, Chris M. Harrison, Tiago Costa, Laura Hermosa Muñoz, Françoise Combes, Dimitra Rigopoulou, Claudio Ricci, Cristina Ramos Almeida, Enrica Bellocchi, Peter Boorman, Andrew Bunker, Richard Davies, Daniel Delaney, Tanio Díaz Santos, Federico Esposito, Enrique Lopez Rodriguez, Et. Al.
Faculty Publications
We present James Webb Space Telescope/Mid-Infrared Instrument imaging of eight nearby active galactic nuclei (AGN) from the GATOS (Galactic Activity, Torus, and Outflow Survey) survey to investigate the physical conditions of extended dust in their narrow-line regions (NLRs). In four galaxies (ESO 428–G14, NGC 4388, NGC 3081, and NGC 5728), we detect spatially resolved dust structures extending ∼100–200 pc along the NLR. In these systems, we find a strong link between the morphology of the dust, the radio ejecta, and the coronal [Si VI] emission, implying that dust carries imprints of the processes shaping the NLR. Using spatially resolved …
Table Of Contents
Journal of the South Carolina Academy of Science
No abstract provided.
Evaluating Corruption Defenses On Learning Adversarial Robustness, Roland Yang, Akhil Kanthamneni
Evaluating Corruption Defenses On Learning Adversarial Robustness, Roland Yang, Akhil Kanthamneni
Journal of the South Carolina Academy of Science
No abstract provided.
A Hybrid Cooling System Utilizing Active Air And Phase Change Material Polyethylene Glycol In A Lithium-Ion Battery Pack, Arieleus Taine
A Hybrid Cooling System Utilizing Active Air And Phase Change Material Polyethylene Glycol In A Lithium-Ion Battery Pack, Arieleus Taine
Journal of the South Carolina Academy of Science
Batteries have become one of the most important components of electronic devices. However, a large issue lies in overheating batteries, which decreases their performance and lifespan. Although cooling systems have been researched to combat this, the combination of phase change material polyethylene glycol (PEG) and fans has not been observed. The purpose of this study was to determine if a hybrid system consisting of PEG and air cooling would decrease temperatures compared to individual cooling systems such as just air cooling. It was hypothesized that the hybrid cooling system would have lower overall temperatures as compared to individual active and …
The Comparative Effect Of Four Reflective Coatings On The Thermal Performance Of Residential Roofing In Climate Zone 8b, Henry Holton
The Comparative Effect Of Four Reflective Coatings On The Thermal Performance Of Residential Roofing In Climate Zone 8b, Henry Holton
Journal of the South Carolina Academy of Science
No abstract provided.
Ultrasonic Extraction-Based Analysis Of Persistent Organic Pollutants In Blubber From False Killer Whales, Michael O. Eze, Eva Borras, Mitchell M. Mccartney, Don R. Bergfelt, Kristi L. West, Sarah E. Hooper, Cristina E. Davis
Ultrasonic Extraction-Based Analysis Of Persistent Organic Pollutants In Blubber From False Killer Whales, Michael O. Eze, Eva Borras, Mitchell M. Mccartney, Don R. Bergfelt, Kristi L. West, Sarah E. Hooper, Cristina E. Davis
Chemistry Faculty Research & Creative Works
In view of the toxic effects of persistent organic pollutants (POPs), fast and effective assessment of their concentrations in marine mammals is important for understanding individual and population-level health impacts. This study developed an ultrasonic-based method that is less time-consuming, uses minimal solvent, and thus is more sustainable than the gold standard Soxhlet method for accurate analysis of organochlorine pesticides (OCs), polychlorinated biphenyls (PCBs), and benzene hexachlorides (BHC) in false killer whale blubber. This method was developed by comparing concentrations of POPs obtained using the traditional Soxhlet and novel ultrasonic extraction methods using blubber from false killer whales (n = …
Nonresonance For Problems Involving (P, Q)-Laplacian Equations With Nonlinear Perturbations, E. Lopera, Nsoki Mavinga, D. Sánchez
Nonresonance For Problems Involving (P, Q)-Laplacian Equations With Nonlinear Perturbations, E. Lopera, Nsoki Mavinga, D. Sánchez
Mathematics & Statistics Faculty Works
We are concerned with the existence of solutions of (p, q)-Laplacian problems that include nonlinear perturbation terms in both the differential equations and the boundary. Using variational methods and critical point theory, we prove the existence of weak solutions for the nonlinear problem when the nonlinearities involved remain asymptotically below the infimum of the set of eigenvalues of the (p, q)-Laplacian problem with weights and a spectral parameter present in both the differential equation and the boundary. Additionally, we establish an existence result for the nonlinear problem when the nonlinearities involved remain asymptotically below …
Natural Protective Mechanisms Of Cucumis Callosus Leaves In Escherichia Species-Induced Urinary Tract Infection: An Integrated In Silico And In Vivo Study, Meenal Sahu, Tripti Paliwal, Radhika Joshi, Arya Kuhu Vishwapriya, Namita Misra, Smita Jain, Gautam Singhvi, Gulshan Kumar, Devesh U. Kapoor, Dipjyoti Chakraborty, Swapnil Sharma
Natural Protective Mechanisms Of Cucumis Callosus Leaves In Escherichia Species-Induced Urinary Tract Infection: An Integrated In Silico And In Vivo Study, Meenal Sahu, Tripti Paliwal, Radhika Joshi, Arya Kuhu Vishwapriya, Namita Misra, Smita Jain, Gautam Singhvi, Gulshan Kumar, Devesh U. Kapoor, Dipjyoti Chakraborty, Swapnil Sharma
Michigan Tech Publications
Leaves of Cucumis callosus, traditionally employed in Ayurvedic medicine for the treatment of urinary disorders, were investigated in depth for their therapeutic potential against bacterially induced urinary tract infection (UTI) for the first time. The present work is the first to explore the antibacterial activity of C. callosus leaf fractions with an integrative in silico, in vitro, and in vivo approach. Through bioassay-guided fractionation, the chloroform fraction (F1) was identified as the most active, exhibiting potent activity against Uropathogenic Escherichia spp. species. Liquid chromatography–mass spectrometry (LC-MS) analysis of F1 revealed the presence of bioactive compounds, including stigmasterol, 1,2,3,4-tetrahydroisoquinoline, lactose, hydroxy(mesityl)acetic …
Estimation Of Net Premium For Flight Delay Insurance Using The Aggregate Loss Model: A Case Study Of Indonesia Otas, Azka Nurul Husna, Yulial Hikmah, Ira Rosianal Hikmah
Estimation Of Net Premium For Flight Delay Insurance Using The Aggregate Loss Model: A Case Study Of Indonesia Otas, Azka Nurul Husna, Yulial Hikmah, Ira Rosianal Hikmah
Jurnal Vokasi Indonesia
Air transportation, as one of the most chosen transportation modes, is frequently susceptible to delays. Flight Delay Insurance offers a vital solution to mitigate the financial losses associated with this risk. Premium pricing is a key factor influencing the decision to purchase this insurance, particularly on Online Travel Agent (OTA) platforms where product offerings are often highly comparable. The aggregate loss method is employed herein to ascertain the net premium (or pure premium) price. The loss severity component (X) is modeled using an empirical distribution, while the loss frequency component (N) is modeled using a Negative Binomial distribution with parameters …
3d Object Tracking Registration Based On Improved Rbot Method, Jiarui Zhou, Haihua Cui, Pengcheng Li, Shihao Gu, Huipu Hao, Xifu Zhao, Anan Zhao, Tao Jiang
3d Object Tracking Registration Based On Improved Rbot Method, Jiarui Zhou, Haihua Cui, Pengcheng Li, Shihao Gu, Huipu Hao, Xifu Zhao, Anan Zhao, Tao Jiang
Journal of System Simulation
Abstract: To address the limitations of region-based object tracking (RBOT) in handling isotropic objects and scenarios with similar foreground-background colors, an improved method integrating edge features is proposed. The approach employs edge detection to extract object contours and designs a region segmentation strategy incorporated into an energy function framework to optimize internal line and edge consistency, thereby enhancing adaptability in dynamic environments and improving pose estimation accuracy. Validation through augmented reality assembly experiments on an aero-engine demonstrates that the proposed method effectively reduces rotational and translational errors, achieving initialization deviations of less than 1.5° and 0.5%, respectively. For static …
3d Reconstruction For Stadium Cad Drawings Based On Graphic Element Arrangement Pattern Analysis, Shang Ma, Mengyu Zhang, Lan Zhang, Gang Yang
3d Reconstruction For Stadium Cad Drawings Based On Graphic Element Arrangement Pattern Analysis, Shang Ma, Mengyu Zhang, Lan Zhang, Gang Yang
Journal of System Simulation
Abstract: To address the issue of the time-consuming and labor-intensive manual conversion of two-dimensional CAD design drawings of buildings into three-dimensional models, and leveraging the characteristic that stadiums contain a large number of repetitively and regularly arranged objects, this study proposes a similar graphical element detection algorithm. This algorithm detects similarities between graphical elements by constructing their bounding boxes and calculating the L2-Norm distance, identifying all graphical elements of the same type within the CAD drawing. Furthermore, a transformation sequence detection algorithm is proposed. Based on the geometric transformation relationships between graphical elements, a geometric transformation space is defined. By …
Visual Relocalization Method Combining Region Classification And Local Feature Enhancement, Yining Wang, Yanli Liu, Guanyu Xing
Visual Relocalization Method Combining Region Classification And Local Feature Enhancement, Yining Wang, Yanli Liu, Guanyu Xing
Journal of System Simulation
Abstract: Visual relocalization tasks have important application value in fields such as digital twin and augmented reality. The current mainstream methods still face challenges such as mismatch between coordinate regression scale and receptive field and insufficient attention to local information. A visual relocalization method that combines region classification and local feature enhancement is proposed. The coordinate regression problem in large space is transformed into a multi-region classification problem and a coordinate regression problem inside a small scene, which significantly reduces the uncertainty of coordinate regression and makes the network globally have a large receptive field. A conditioning layer using deep …
Diffusion Model For Human Motion Generation With Fine-Grained Text And Spatial Control Signals, Binze Jiang, Wenfeng Song, Xia Hou, Shuai Li
Diffusion Model For Human Motion Generation With Fine-Grained Text And Spatial Control Signals, Binze Jiang, Wenfeng Song, Xia Hou, Shuai Li
Journal of System Simulation
Abstract: To improve the accuracy, controllability, and realism of text-driven human motion generation, a novel method is proposed that integrates fine-grained textual semantics with spatial control signals. Within the diffusion model framework, both global text tokens and body-part-level local tokens are introduced. These are encoded using CLIP to obtain corresponding features, which are then fed into the motion diffusion model to enable fine control over different body parts. Spatial guidance is used to dynamically adjust joint positions during the diffusion denoising process, ensuring that the generated motion adheres to spatial constraints. Realism guidance is incorporated to enhance the naturalness and …