| 1. |
- Dai, Wenbin, et al.
(author)
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A Cloud-Based Decision Support System for Self-Healing in Distributed Automation Systems Using Fault Tree Analysis
- 2018
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In: IEEE Transactions on Industrial Informatics. - : Institute of Electrical and Electronics Engineers (IEEE). - 1551-3203 .- 1941-0050. ; 14:3, s. 989-1000
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Journal article (peer-reviewed)abstract
- Downtime is a key performance index for industrial automation systems. An industrial automation system achieves maximum productivity when its downtime is reduced to the minimum. One approach to minimize downtime is to predict system faults and recover from them automatically. A cloud-based decision support system is proposed for rapid problem identifications and to assist the self-management processes. By running multiple parallel simulations of control software with real-time inputs ahead of system time, faults could be detected and corrected automatically using autonomous industrial software agents. Fault trees, as well as control algorithms, are modeled using IEC 61499 function blocks that can be directly executed on both physical controllers and cloud services. A case study of water heating process is used to demonstrate the self-healing process supported by the cloud-based decision support system.
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| 2. |
- Dai, Wenbin, et al.
(author)
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Discrete-Event-Based Deterministic Execution Semantics With Timestamps for Industrial Cyber-Physical Systems
- 2020
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In: IEEE Transactions on Systems, Man & Cybernetics. Systems. - : Institute of Electrical and Electronics Engineers (IEEE). - 2168-2216 .- 2168-2232. ; 50:3, s. 851-862
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Journal article (peer-reviewed)abstract
- Cyber-physical systems (CPSs) are becoming common in the industrial automation domain. In industrial CPS, distributed programmable logic controllers collaborate to control manufacturing plants. Design and analysis of such systems require a system model that covers control, computation, and communication with physical plant dynamics. This paper focuses on execution semantics for industrial CPS with the aim of providing a deterministic and platform-independent execution environment. A discrete-event-based execution semantics augmented with timestamp mechanism is proposed for IEC 61499 to provide deterministic behavior and guarantee compliance with real-time constraints for industrial CPS. The timestamped discrete-event-based execution semantics is implemented in an IEC 61499 runtime with service-enabled features. A case study of building automation system is used to prove the proposed semantics.
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| 3. |
- Dai, Wenbin, et al.
(author)
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Industrial Edge Computing : Enabling Embedded Intelligence
- 2019
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In: IEEE Industrial Electronics Magazine. - : IEEE. - 1932-4529 .- 1941-0115. ; 13:4, s. 48-56
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Journal article (peer-reviewed)abstract
- The term industrial edge computing is used to describe a distributed platform that integrates communication, computation, and storage resources for performing real-time applications that can be directly accessed from the cloud. A step toward the industrial Internet revolution, industrial edge computing is designed to facilitate agile connectivity, real-time control, and data optimization, while enabling intelligent applications, ensuring tight security, and protecting privacy. Industrial edge computing makes use of what is known as edge computing nodes (ECNs), which bridge the gap between the physical world and the digital world by acting as smart gateways for assets, services, and systems. The IEEE P2805 Standards are being developed for defining protocols for self-management, data acquisition, and machine learning through cloud-edge collaboration on ECNs.
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| 4. |
- Dai, Wenbin, et al.
(author)
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Modeling distributed automation systems in cyber-physical view
- 2015
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In: 10th IEEE Conference on Industrial Electronics and Applications. - Piscataway, NJ : IEEE Communications Society. - 9781479983896 ; , s. 984-989
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Conference paper (peer-reviewed)abstract
- With increasing complexity of automation processes, distributed automation systems are required to meet real-time constraints of control and communication for processes. On the other hand, cyber-physical system is committed for solving complexities of networked embedded systems. In the cyber-physical view, distributed systems are combination of control, computation and communication. One key research topic is to solve design complexities of industrial cyber-physical systems by applying modeling techniques. In this paper, an IEC 61499-based modeling language is propsed for industrial cyber-physical systems. Furthermore, how these modeling techniques could be beneficial for industrial cyber-physical systems are investigated. Finally, an industrial cyber-physical system design tool is implemented by applying the proposed IEC 61499-based modeling language
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| 5. |
- Dai, Wenbin, et al.
(author)
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Towards Self-Manageable and Adaptive Industrial Cyber-Physical Systems with Knowledge-Driven Autonomic Service Management
- 2017
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In: IEEE Transactions on Industrial Informatics. - : IEEE. - 1551-3203 .- 1941-0050. ; 13:2, s. 725-736
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Journal article (peer-reviewed)abstract
- An increasingly important goal of industrial automation systems is to continuously optimize physical resource utilization such as materials. Distributed automation is seen as one enabling technology for achieving this goal, in which networking controller nodes collaborate in a peer to peer way to form a new paradigm, namely industrial cyber-physical systems (iCPS). In order to achieve rapid response to changes from both high level control systems and plant environment, the proposed self-manageable agent relies on the use of the Service-Oriented Architecture (SOA) that improves flexibility and interoperability. It is enhanced by the autonomic service management (ASM) to implement software modifications in a fully automatic manner, thus achieving self-manageable and adaptive industrial cyberphysical systems. The architecture design of the autonomic service manager is provided and integration with SOA based execution environment is illustrated. Preliminary tests on selfmanagement are completed using a case study of airport baggage handling system.
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| 6. |
- Liu, Hui, et al.
(author)
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Centromere-Specific Retrotransposons and Very-Long-Chain Fatty Acid Biosynthesis in the Genome of Yellowhorn (Xanthoceras sorbifolium, Sapindaceae), an Oil-Producing Tree With Significant Drought Resistance
- 2021
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In: Frontiers in Plant Science. - : Frontiers Media S.A.. - 1664-462X. ; 12
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Journal article (peer-reviewed)abstract
- In-depth genome characterization is still lacking for most of biofuel crops, especially for centromeres, which play a fundamental role during nuclear division and in the maintenance of genome stability. This study applied long-read sequencing technologies to assemble a highly contiguous genome for yellowhorn (Xanthoceras sorbifolium), an oil-producing tree, and conducted extensive comparative analyses to understand centromere structure and evolution, and fatty acid biosynthesis. We produced a reference-level genome of yellowhorn, ∼470 Mb in length with ∼95% of contigs anchored onto 15 chromosomes. Genome annotation identified 22,049 protein-coding genes and 65.7% of the genome sequence as repetitive elements. Long terminal repeat retrotransposons (LTR-RTs) account for ∼30% of the yellowhorn genome, which is maintained by a moderate birth rate and a low removal rate. We identified the centromeric regions on each chromosome and found enrichment of centromere-specific retrotransposons of LINE1 and Gypsy in these regions, which have evolved recently (∼0.7 MYA). We compared the genomes of three cultivars and found frequent inversions. We analyzed the transcriptomes from different tissues and identified the candidate genes involved in very-long-chain fatty acid biosynthesis and their expression profiles. Collinear block analysis showed that yellowhorn shared the gamma (γ) hexaploidy event with Vitis vinifera but did not undergo any further whole-genome duplication. This study provides excellent genomic resources for understanding centromere structure and evolution and for functional studies in this important oil-producing plant.
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| 7. |
- Shi, Tian-Le, et al.
(author)
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Differential gene expression and potential regulatory network of fatty acid biosynthesis during fruit and leaf development in yellowhorn (Xanthoceras sorbifolium), an oil-producing tree with significant deployment values
- 2024
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In: Frontiers in Plant Science. - : Frontiers Media S.A.. - 1664-462X. ; 14
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Journal article (peer-reviewed)abstract
- Xanthoceras sorbifolium (yellowhorn) is a woody oil plant with super stress resistance and excellent oil characteristics. The yellowhorn oil can be used as biofuel and edible oil with high nutritional and medicinal value. However, genetic studies on yellowhorn are just in the beginning, and fundamental biological questions regarding its very long-chain fatty acid (VLCFA) biosynthesis pathway remain largely unknown. In this study, we reconstructed the VLCFA biosynthesis pathway and annotated 137 genes encoding relevant enzymes. We identified four oleosin genes that package triacylglycerols (TAGs) and are specifically expressed in fruits, likely playing key roles in yellowhorn oil production. Especially, by examining time-ordered gene co-expression network (TO-GCN) constructed from fruit and leaf developments, we identified key enzymatic genes and potential regulatory transcription factors involved in VLCFA synthesis. In fruits, we further inferred a hierarchical regulatory network with MYB-related (XS03G0296800) and B3 (XS02G0057600) transcription factors as top-tier regulators, providing clues into factors controlling carbon flux into fatty acids. Our results offer new insights into key genes and transcriptional regulators governing fatty acid production in yellowhorn, laying the foundation for efforts to optimize oil content and fatty acid composition. Moreover, the gene expression patterns and putative regulatory relationships identified here will inform metabolic engineering and molecular breeding approaches tailored to meet biofuel and bioproduct demands.
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| 8. |
- Xu, Chao-Qun, et al.
(author)
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Genome sequence of Malania oleifera, a tree with great value for nervonic acid production
- 2019
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In: GigaScience. - : Oxford University Press. - 2047-217X. ; 8:2
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Journal article (peer-reviewed)abstract
- Background Malania oleifera, a member of the Olacaceae family, is an IUCN red listed tree, endemic and restricted to the Karst region of southwest China. This tree's seed is valued for its high content of precious fatty acids (especially nervonic acid). However, studies on its genetic makeup and fatty acid biogenesis are severely hampered by a lack of molecular and genetic tools. Findings We generated 51 Gb and 135Gb of raw DNA sequences, using Pacific Biosciences (PacBio) single-molecule real-time and 10x Genomics sequencing, respectively. A final genome assembly, with a scaffold N50 size of 4.65 Mb and a total length of 1.51Gb, was obtained by primary assembly based on PacBio long reads plus scaffolding with 10x Genomics reads. Identified repeats constituted approximate to 82% of the genome, and 24,064 protein-coding genes were predicted with high support. The genome has low heterozygosity and shows no evidence for recent whole genome duplication. Metabolic pathway genes relating to the accumulation of long-chain fatty acid were identified and studied in detail. Conclusions Here, we provide the first genome assembly and gene annotation for M. oleifera. The availability of these resources will be of great importance for conservation biology and for the functional genomics of nervonic acid biosynthesis.
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