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Articles 8071 - 8100 of 63016
Full-Text Articles in Computer Sciences
Deep Learning Can Be Used To Classify And Segment Plant Cell Types In Xylem Tissue, Reem Al Dabagh, Benjamin Shin, Sean Wu, Fabien Scalzo, Helen Holmlund, Jessica Lee, Chris Ghim, Samuel Fitzgerald, Marinna Grijalva
Deep Learning Can Be Used To Classify And Segment Plant Cell Types In Xylem Tissue, Reem Al Dabagh, Benjamin Shin, Sean Wu, Fabien Scalzo, Helen Holmlund, Jessica Lee, Chris Ghim, Samuel Fitzgerald, Marinna Grijalva
Seaver College Research And Scholarly Achievement Symposium
Studies of plant anatomical traits are essential for understanding plant physiological adaptations to stressful environments. For example, shrubs in the chaparral ecosystem of southern California have adapted various xylem anatomical traits that help them survive drought and freezing. Previous studies have shown that xylem conduits with a narrow diameter allows certain chaparral shrub species to survive temperatures as low as -12 C. Other studies have shown that increased cell wall thickness of fibers surrounding xylem vessels improves resistance to water stress-induced embolism formation. Historically, these studies on xylem anatomical traits have relied on hand measurements of cells in light micrographs, …
Mechanistic Investigation Of C—C Bond Activation Of Phosphaalkynes With Pt(0) Complexes, Roberto M. Escobar, Abdurrahman C. Ateşin, Christian Müller, William D. Jones, Tülay Ateşin
Mechanistic Investigation Of C—C Bond Activation Of Phosphaalkynes With Pt(0) Complexes, Roberto M. Escobar, Abdurrahman C. Ateşin, Christian Müller, William D. Jones, Tülay Ateşin
Research Symposium
Carbon–carbon (C–C) bond activation has gained increased attention as a direct method for the synthesis of pharmaceuticals. Due to the thermodynamic stability and kinetic inaccessibility of the C–C bonds, however, activation of C–C bonds by homogeneous transition-metal catalysts under mild homogeneous conditions is still a challenge. Most of the systems in which the activation occurs either have aromatization or relief of ring strain as the primary driving force. The activation of unstrained C–C bonds of phosphaalkynes does not have this advantage. This study employs Density Functional Theory (DFT) calculations to elucidate Pt(0)-mediated C–CP bond activation mechanisms in phosphaalkynes. Investigating the …
Ex-Vivo Hippocampus Segmentation Using Diffusion-Weighted Mri, Haoteng Tang, Siyuan Dai, Eric M. Zou, Guodong Liu, Ryan Ahearn, Ryan Krafty, Michel Modo, Liang Zhan
Ex-Vivo Hippocampus Segmentation Using Diffusion-Weighted Mri, Haoteng Tang, Siyuan Dai, Eric M. Zou, Guodong Liu, Ryan Ahearn, Ryan Krafty, Michel Modo, Liang Zhan
Computer Science Faculty Publications
The hippocampus is a crucial brain structure involved in memory formation, spatial navigation, emotional regulation, and learning. An accurate MRI image segmentation of the human hippocampus plays an important role in multiple neuro-imaging research and clinical practice, such as diagnosing neurological diseases and guiding surgical interventions. While most hippocampus segmentation studies focus on using T1-weighted or T2-weighted MRI scans, we explore the use of diffusion-weighted MRI (dMRI), which offers unique insights into the microstructural properties of the hippocampus. Particularly, we utilize various anisotropy measures derived from diffusion MRI (dMRI), including fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity, for …
Icolc Statement On Ai In Licensing, International Coalition Of Library Consortia
Icolc Statement On Ai In Licensing, International Coalition Of Library Consortia
Copyright, Fair Use, Scholarly Communication, etc.
The International Coalition of Library Consortia (ICOLC) statement on artifical intelligence in licensing.
The Impact Of Data Preparation And Model Complexity On The Natural Language Classification Of Chinese News Headlines, Torrey J. Wagner, Dennis Guhl, Brent T. Langhals
The Impact Of Data Preparation And Model Complexity On The Natural Language Classification Of Chinese News Headlines, Torrey J. Wagner, Dennis Guhl, Brent T. Langhals
Faculty Publications
Given the emergence of China as a political and economic power in the 21st century, there is increased interest in analyzing Chinese news articles to better understand developing trends in China. Because of the volume of the material, automating the categorization of Chinese-language news articles by headline text or titles can be an effective way to sort the articles into categories for efficient review. A 383,000-headline dataset labeled with 15 categories from the Toutiao website was evaluated via natural language processing to predict topic categories. The influence of six data preparation variations on the predictive accuracy of four algorithms was …
Artificial Intelligence Usage And Data Privacy Discoveries Within Mhealth, Jennifer Schulte
Artificial Intelligence Usage And Data Privacy Discoveries Within Mhealth, Jennifer Schulte
Research & Publications
Advancements in artificial intelligence continue to impact nearly every aspect of human life by providing integration options that aim to supplement or improve current processes. One industry that continues to benefit from artificial intelligence integration is healthcare. For years now, elements of artificial intelligence have been used to assist in clinical decision making, helping to identify potential health risks at earlier stages, and supplementing precision medicine. An area of healthcare that specifically looks at wearable devices, sensors, phone applications, and other such devices is mobile health (mHealth). These devices are used to aid in health data collection and delivery. This …
Unraveling Biases And Customer Heterogeneity In E-Commerce Recommendation Systems, Sachin Sharma
Unraveling Biases And Customer Heterogeneity In E-Commerce Recommendation Systems, Sachin Sharma
Dissertations
This research explores the biases present in AI algorithms within e-commerce recommendation systems, focusing on how these biases prioritize popular, sponsored, and private-label products over actual customer preferences. We extend the responsible AI discourse by critically examining these biases and their implications for fairness in e-commerce. To strengthen the current understanding of AI fairness in the fields of information systems and computer science, we aim to challenge the assumption that AI fairness is objective and the same for everyone. We examine how individual differences, such as equity sensitivity and exchange ideology, contribute to users' varied perceptions of AI fairness. Through …
Algorithmic Harms In Child Welfare: Uncertainties In Practice, Organization, And Street-Level Decision-Making, Devansh Saxena, Shion Guha
Algorithmic Harms In Child Welfare: Uncertainties In Practice, Organization, And Street-Level Decision-Making, Devansh Saxena, Shion Guha
Health Services and Informatics Research
Algorithms in public services such as child welfare, criminal justice, and education are increasingly being used to make high-stakes decisions about human lives. Drawing upon findings from a two-year ethnography conducted at a child welfare agency, we highlight how algorithmic systems are embedded within a complex decision-making ecosystem at critical points of the child welfare process. Caseworkers interact with algo rithms in their daily lives where they must collect information about families and feed it to algorithms to make critical decisions. We show how the interplay between systemic mechanics and algorithmic decision making can adversely impact the fairness of the …
Development Demand, Power Energy Consumption And Green And Low-Carbon Transition For Computing Power In China, Xiaohong Chen, Liaoying Cao, Jiaolong Chen, Jinghui Zhang, Wenzhi Cao, Yangjie Wang
Development Demand, Power Energy Consumption And Green And Low-Carbon Transition For Computing Power In China, Xiaohong Chen, Liaoying Cao, Jiaolong Chen, Jinghui Zhang, Wenzhi Cao, Yangjie Wang
Bulletin of Chinese Academy of Sciences (Chinese Version)
As a critical digital infrastructure, computing power has become the core productivity and a new engine driving economic growth in the digital economy. Nevertheless, the power-hungry nature of computing/data centers, representing the computing infrastructure, consumes a significant amount of electrical energy. Currently, China’s economy is transitioning from high-speed growth to high-quality development. It is imperative to study how to coordinate the development of computing power while ensuring its safety and achieving green and low-carbon goals. Based on an overview of the current status of computing power development, this study predicts the future demand for computing power in China, analyzes the …
Editorials For Spencial Topic “Scientific Focus: Open Source Innovation And Open Source Paradigm”
Editorials For Spencial Topic “Scientific Focus: Open Source Innovation And Open Source Paradigm”
Bulletin of Chinese Academy of Sciences (Chinese Version)
No abstract provided.
Open Source In China: Opportunities In New Era, Qigang Zhu, Guofeng Zhang, Caihua Zhu, Yi Zhang
Open Source In China: Opportunities In New Era, Qigang Zhu, Guofeng Zhang, Caihua Zhu, Yi Zhang
Bulletin of Chinese Academy of Sciences (Chinese Version)
China has rapidly experienced industrialization and informatization, entering the era of digital economy. The combination of new productive forces represented by artificial intelligence, non-exclusive production factors represented by knowledge, and open source related relationships may form a new model. From the perspective of social practices of open source innovation, open source lacks systematic preparedness at theoretical, institutional, and talent levels. China should seize the historical opportunity to complete theoretical updates and cultural reconstruction those are adapted to it. Open source and openness also have conditions for China to create a global paradigm of cooperation, sharing, and innovation in the digital …
Thoughts On Ai Innovation And Open Source Development: Lessons From Deepseek, Yanjun Wu
Thoughts On Ai Innovation And Open Source Development: Lessons From Deepseek, Yanjun Wu
Bulletin of Chinese Academy of Sciences (Chinese Version)
At a critical moment of intense competition in the artificial intelligence (AI) field, DeepSeek has released foundational large language models (LLM) such as V3/R1, with performance comparable to leading international organizations like OpenAI. This not only demonstrates China’s technological innovation capabilities in AI but also provides a Chinese innovative pathway for global AI development. Firstly, through low-cost training and inference, break the monopolistic barriers of high-end computing power and lower research and development thresholds. Secondly, through full-stack and comprehensive open-source strategies, support customizable and local deployment that benefits various industries. This technological innovation and open-source practice from DeepSeek deserves in-depth …
Exploration And Practice Of New Industry-Academia-Research Collaboration Mechanism Based On Open-Source Model, Yungang Bao
Exploration And Practice Of New Industry-Academia-Research Collaboration Mechanism Based On Open-Source Model, Yungang Bao
Bulletin of Chinese Academy of Sciences (Chinese Version)
DeepSeek has rapidly expanded globally on a large scale through the open-source model, prompting various sectors to reflect on the value and significance of open-source. This study argues that open-source is an effective way to build consensus and organize high-density talent, as it is supported by objective laws. These include sociological principles such as breaking knowledge monopolies and promoting knowledge dissemination, as well as economic principles like “transaction cost” and the “Jevons effect”. Furthermore, this study suggests that open-source is also an effective approach to establish efficient collaborative mechanisms among industry, academia, and research. Two specific cases are introduced—the Open-Source …
Current Status, Trends, And Policy Recommendations For Global Open Source Ecosystem Development, Xue Guo
Current Status, Trends, And Policy Recommendations For Global Open Source Ecosystem Development, Xue Guo
Bulletin of Chinese Academy of Sciences (Chinese Version)
Open source, as an innovative production model characterized by openness and sharing, has become a core driving force for innovation, openness, sharing, and sustainable development in the digital economy. This study explores the significant value of open source from four dimensions: technological innovation, industrial development, economic contribution, and social sustainability. The current global open source ecosystem is showing a positive development trend, with a continuous increase in the number of open source projects and the scale of contributors. In China, open source efforts are gradually gaining momentum in emerging technology fields. Looking ahead, open source projects are expected to follow …
On Global Security Governance’S New Trends And China’S Responses From Perspective Of Scientific And Technological Revolution, Haoguang Liang, Linman Wu, Zhujun Liu, Yaojun Zhang
On Global Security Governance’S New Trends And China’S Responses From Perspective Of Scientific And Technological Revolution, Haoguang Liang, Linman Wu, Zhujun Liu, Yaojun Zhang
Bulletin of Chinese Academy of Sciences (Chinese Version)
Due to the new round of sci-tech revolution and industrial transformation, the relation between scientific progress and national security has been upgraded to an unprecedented strategic height. Therefore, it is vitally important to explore the current situation and future trajectory of the relation between the two. This study discusses the new trends between global scientific progress and the security of sovereign countries. It believes that scientific progress has catalyzed the new geopolitical contests, development contradiction and hegemonic tools in global security governance, thereby enlightening China’s approach to national security. To maintain holistic national security, China should formulate an overall strategic …
Breaking Through “Data Bottleneck” Of Ai Large Models—Reflections On Building A National Corpus Operation Platform, Xingteng Li, Feng Feng, Liqiang Huang
Breaking Through “Data Bottleneck” Of Ai Large Models—Reflections On Building A National Corpus Operation Platform, Xingteng Li, Feng Feng, Liqiang Huang
Bulletin of Chinese Academy of Sciences (Chinese Version)
At present, the competition within the global artificial intelligence (AI) large model industry is intensifying, and corpus resources emerging as a critical determinant for enhancing the technical performance and practical efficacy of AI systems. Nevertheless, China’s corpus development faces dual challenges in both quantity and quality, struggling to meet the escalating training demands of the rapidly evolving AI large model sector. Internationally, nations are ramping up efforts to develop their corpus infrastructures, particularly prioritizing the creation and deployment of high-quality linguistic datasets. In this context, through comparative analysis of international benchmarks and domestic conditions, this study proposes a strategic framework …
Using Chatgpt To Generate Gendered Language, Shweta Soundararajan, Manuela Nayantara Jeyaraj, Sarah Jane Delany
Using Chatgpt To Generate Gendered Language, Shweta Soundararajan, Manuela Nayantara Jeyaraj, Sarah Jane Delany
Conference papers
Gendered language is the use of words that denote an individual's gender. This can be explicit where the gender is evident in the actual word used, e.g. mother, she, man, but it can also be implicit where social roles or behaviours can signal an individual's gender - for example, expectations that women display communal traits (e.g., affectionate, caring, gentle) and men display agentic traits (e.g., assertive, competitive, decisive). The use of gendered language in NLP systems can perpetuate gender stereotypes and bias. This paper proposes an approach to generating gendered language datasets using ChatGPT which will provide data for data-driven …
Challenges On Public Security System In Ai Era—Preface For Special Column “Artificial Intelligence And Public Security”, Juan Cao, Qiang Sheng, Guojie Li
Challenges On Public Security System In Ai Era—Preface For Special Column “Artificial Intelligence And Public Security”, Juan Cao, Qiang Sheng, Guojie Li
Bulletin of Chinese Academy of Sciences (Chinese Version)
The rapid development of artificial intelligence generated content (AIGC) technology has triggered new public security risks, posing a serious threat to national security and social stability. This study exhibits the recent advances of artificial intelligence (AI) content generation and detection techniques, points out the challenges of detection techniques in real-world scenarios, and advocates that it is necessary to develop AIGC detection technology for public security needs and build a whole-process detection technology system from generative models to online platforms, which supports AIGC to be labeled at the generation phase, identifiable during dissemination and source-traceable after the incident occurs.
Research On Artificial Intelligence Crime And China’S Countermeasures, Jianxin Gao, Jinping Sun, Yukun Cai, Chongpeng Wang, Yanyan Yang, Kaiyue Wang
Research On Artificial Intelligence Crime And China’S Countermeasures, Jianxin Gao, Jinping Sun, Yukun Cai, Chongpeng Wang, Yanyan Yang, Kaiyue Wang
Bulletin of Chinese Academy of Sciences (Chinese Version)
The rapid development of artificial intelligence technology has constantly given rise to new scenarios, models, and markets, changing the way information and knowledge are generated. Nevertheless, the security risks exposed by technology, such as algorithm bias, data leakage, false content generation, and improper use, are also prone to trigger various new types of crimes. There are still loopholes in legal regulation and technological prevention under the current situation, which poses severe challenges to crime crackdown. In order to effectively meet the new challenges of China’s artificial intelligence (AI) crime, we should supplement and improve the existing legal norms, improve the …
Intelligent Algorithm Safety: Concepts, Scientific Problems And Prospects, Xueqi Cheng, Wei Chen, Huawei Shen, Shiguang Shan, Xilin Chen, Guojie Li
Intelligent Algorithm Safety: Concepts, Scientific Problems And Prospects, Xueqi Cheng, Wei Chen, Huawei Shen, Shiguang Shan, Xilin Chen, Guojie Li
Bulletin of Chinese Academy of Sciences (Chinese Version)
Intelligent algorithms refer to the methods embodied in the computational processes that realize intelligence. These methods are often characterized by being data-driven, involving uncertain computations, and with unexplainable model inferences. These characteristics simultaneously introduce potential safety risks to the application of intelligent algorithms and AI. This study firstly explores the concepts of intelligent algorithm safety. Specifically, intelligent algorithm safety, based on the degree of human-machine integration, extends from the univariate safety of the algorithm itself to the bivariate applicational safety when the algorithm serves humans, and finally evolves into the multivariate systemic safety arises within complex socio-technical systems of human-machine …
Embodied Artificial Intelligence Security And Governance, Wenyuan Xu, Xiaoyu Ji, Chen Yan, Yushi Cheng
Embodied Artificial Intelligence Security And Governance, Wenyuan Xu, Xiaoyu Ji, Chen Yan, Yushi Cheng
Bulletin of Chinese Academy of Sciences (Chinese Version)
Embodied artificial intelligence (EAI) is progressively integrated into the fabric of our daily lives, enhancing various sectors such as industrial production, healthcare, and national defense. Nevertheless, the diverse range of hardware devices, software algorithms, and data communications that constitute these complex systems may contain vulnerabilities that could be exploited by attackers, posing a serious threat to personal, social, and national security. Thus, this study examines the security implications and proposes a security framework of EAI, from the perspectives of the information domain, physical domain, and social domain, focusing on its ontological security, interaction security, and application security. To mitigate these …
Suggestions On Building China’S Artificial Intelligence Open Source Innovation Ecosystem, Yuntao Long, Haibo Liu, Zheping Xu, Yungang Bao, Yanjun Wu
Suggestions On Building China’S Artificial Intelligence Open Source Innovation Ecosystem, Yuntao Long, Haibo Liu, Zheping Xu, Yungang Bao, Yanjun Wu
Bulletin of Chinese Academy of Sciences (Chinese Version)
With the release and application of open-source large language models (LLMs) represented by DeepSeek, open-source innovation has played an increasingly important role in the rapid development of global artificial intelligence (AI) technology. Through technological innovation, cost reduction, performance improvement, and application demonstration, DeepSeek has opened up a disruptive innovation path and improved the research and application level of AI in China and its international influence. In order to further promote the construction of China’s AI open source innovation ecosystem and promote the continuous innovation and iteration of AI technology, this study analyzes the outstanding problems in China’s AI innovation ecosystem …
Discussion On Open-Source And Closed-Source Technology Models In Era Of Artificial Intelligence, Xiaolong Zheng, Jiatong Li
Discussion On Open-Source And Closed-Source Technology Models In Era Of Artificial Intelligence, Xiaolong Zheng, Jiatong Li
Bulletin of Chinese Academy of Sciences (Chinese Version)
This article presents the advantages and disadvantages of open-source and closed-source models in technology innovation and ecosystem construction in the era of artificial intelligence. We explore some current cutting-edge controversies between the two technology models, and puts forward some basic ideas for breaking the deadlock, which can provide some significant insights into promoting the healthy development of artificial intelligence technologies.
Current Situation, Challenges And Policy Suggestions Of Chinese Enterprises Participation In Open Source Innovation, Kaihua Chen, Xin Wen, Qigang Zhu
Current Situation, Challenges And Policy Suggestions Of Chinese Enterprises Participation In Open Source Innovation, Kaihua Chen, Xin Wen, Qigang Zhu
Bulletin of Chinese Academy of Sciences (Chinese Version)
Open source is emerging as a new paradigm and a crucial driving force for technological innovation and industrial development. It is shaping new impetus for the development of the digital economy, promoting the construction of an innovation ecosystem in the digital era, and it also serves as an effective path for Chinese enterprises to catch up in technology and industry. Through investigations and literature research, this study discovers that Chinese enterprises have achieved remarkable progress in the field of open source, with the scale of participation continuously expanding and the influence steadily increasing. Nevertheless, they still face numerous challenges in …
Computing Power Security Governance From Perspective Of Overall National Security Concept, Hui Li, Na Wang, Long Wang
Computing Power Security Governance From Perspective Of Overall National Security Concept, Hui Li, Na Wang, Long Wang
Bulletin of Chinese Academy of Sciences (Chinese Version)
Currently, with the rapid development of computing technology and the continuous expansion of computing applications, various types of computing security incidents occur frequently. As an emerging security issue, computing security has become a key fact affecting national security. Strengthening the governance of computing power security has become an important part of the modernization of the national security governance system and governance capacity in China. To clarify the theoretical connotation, risk manifestations, and governance strategies of computing power security governance, this study takes the overall national security concept as guidance and the logical guidance of “issue identification-risk deconstruction-governance response” to analyze …
Mind-Iot: Machine Intelligence And Data-Mining For Iot Threats, Kwabena Aboagye-Otchere, Jorge Castillo
Mind-Iot: Machine Intelligence And Data-Mining For Iot Threats, Kwabena Aboagye-Otchere, Jorge Castillo
Informatics and Engineering Systems Faculty Publications
The use of electric motors drive numerous industries via robust mechanical and electromechanical systems. However, their ubiquitous presence across the industry makes them potential targets for cyber-attackers, raising serious privacy concerns. Prior studies have demonstrated the feasibility of accurately fingerprinting various devices using electromagnetic signals. Yet, the specialized equipment required for those methods remain complex and expensive. This study presents MIND-IoT, a novel approach that captures and analyzes the unintended magnetic emissions surrounding electric motors. Our method achieves precise fingerprinting of motors, and determines their operational parameters by leveraging low-cost IoT devices. By focusing solely on magnetic fields, MIND-IoT offers …
Terry Riley's "In C" For Mobile Ensemble, David B. Wetzel, Griffin Moe, George K. Thiruvathukal
Terry Riley's "In C" For Mobile Ensemble, David B. Wetzel, Griffin Moe, George K. Thiruvathukal
Computer Science: Faculty Publications and Other Works
This workshop presents a mobile-friendly Web Audio application for a “technology ensemble play-along” of Terry Riley’s 1964 composition In C. Attendees will join in a reading of In C using available web-enabled devices as musical instruments. We hope to demonstrate an accessible music-technology experience that relies on face-to-face interaction within a shared space. In this all-electronic implementation, no special musical or technical expertise is required.
Uav Swarm Obstacle Avoidance Algorithm Based On Visual Field And Velocity Guidance, Xueqi Gui, Chuntao Li
Uav Swarm Obstacle Avoidance Algorithm Based On Visual Field And Velocity Guidance, Xueqi Gui, Chuntao Li
Journal of System Simulation
Abstract: In the future aerial combat of multiple unmanned aerial vehicles (UAVs), the safe flight of UAV swarm in unknown airspace is an important content of swarm research. In view of avoiding obstacles and maintaining behavior in the UAV swarm system, this paper presents a UAV swarm collision avoidance algorithm based on visual field and velocity guidance (VFVG). The swarm adaptive communication topology mechanism is designed based on the visual field method. Combined with the principle of far attraction and near repulsion and the consensus method, the mechanism can accelerate the transmission of obstacle avoidance information among UAV swarms while …
Dynamic Digital Twin Modelling And Semi-Physical Simulation Of Wind Turbine Operation, Yang Hu, Weiran Wang, Fang Fang, Ziqiu Song, Yuhan Xu, Jizhen Liu
Dynamic Digital Twin Modelling And Semi-Physical Simulation Of Wind Turbine Operation, Yang Hu, Weiran Wang, Fang Fang, Ziqiu Song, Yuhan Xu, Jizhen Liu
Journal of System Simulation
Abstract: For the accurate mapping and real-time simulation requirements proposed by digital twin technology, a multi-input multi-output (MIMO) finite difference domain-hybrid semi-mechanical (FDDHSM) digital twin modeling method is proposed, and a semi-physical simulation system of wind turbine digital twin with physical controller is established for the complex nonlinear operation characteristics of large wind turbines. The integrated dynamic MIMO-FDD-HSM model structure is constructed. Finite difference regression vectors are defined to characterize the operating conditions of the wind turbine, and finite difference space tight convex partitioning, parametric model identification, and non-parametric model training are completed under full operating conditions. The wind turbine …
A Distributed Simulation System For Space Operation Missions, Yunzhao Liu, Mingming Wang, Jintao Li, Chuankai Liu, Jianjun Luo
A Distributed Simulation System For Space Operation Missions, Yunzhao Liu, Mingming Wang, Jintao Li, Chuankai Liu, Jianjun Luo
Journal of System Simulation
Abstract: For the ground verification requirements of complex space operation missions such as noncooperative target capture, on-orbit maintenance, and in-space assembly, a distributed simulation system is developed, which mainly consists of a back-end simulation model, a front-end visual demonstration system, and a front-end main controller. In order to realize the multidisciplinary model coupling and interaction among different modeling tools or programming languages, the functional mock-up interface (FMI) standard is introduced for system integration, improving the modularity, generality, and portability of the system. To fully utilize computing resources and improve the simulation efficiency, simulation subsystems and modules are deployed in a …