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workflow optimization algorithm based on virtualization and nonlinear production quality under time constraints

The Journal of China Universities of Posts and Telecommunications 2023年第4期30卷 55-66页

作者： Luo Zhiyong Tan Shanxin Xu Haifeng Liu Xintong School of Computer Science and Technology Harbin University of Science and TechnologyHarbin 150080China

Balancing time,cost,and quality is crucial in intelligent ***,finding the optimal value of production parameters is a challengingnon-deterministic polynomial(NP)-hard *** the actual production process,the production process has the characteristics of multi-stage ***,aiming at the difficult problem of multi-stage nonlinear production process optimization,this paper proposes a workflow optimization algorithm based on virtualization and nonlinear production quality under time constraints(T-OVQT).The algorithm proposed in this paper first abstracts the actual production process into a virtual workflow model,which is divided into three layers:The bottom production process collection layer,the middle layer of service node partial order composition layer,and the high level of virtual node collection ***,the virtual technology is used to reconstruct the node set and divide the task *** optimal solution is obtained through inverse iterative normalization and forward scheduling,and the global optimal solution is obtained by algorithm *** results demonstrate that this algorithm better meets actual production requirements than the traditional minimum critical path(MCP)algorithm.

关键词： work-flow optimize scheduling virtual node production quality virtual technology

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Accuracy optimization of virtual iterative reduction algorithm under time constraint

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The Journal of China Universities of Posts and Telecommunications 2023年第2期30卷 49-60页

作者： Luo Zhiyong Liu Xintong Xu haifeng Xie Zhiqiang Li Jie School of Computer Science and Technology Harbin University of Science and TechnologyHarbin 150080China

The factors like production accuracy and completion time are the determinants of the optimal scheduling of the complex products work-flow,so the main research direction of modern work-flow technology is how to assure the dynamic balance between the *** on the work-flow technology,restraining the completion time,and analyzing the deficiency of traditional minimum critical path algorithm,a virtual iterative reduction algorithm(VIRA)was proposed,which can improve production accuracy effectively with time *** VIRA with simplification as the core abstracts a virtual task that can predigest the process by combining the complex structures which are cyclic or parallel,finally,by using the virtual task and the other task in the process which is the iterative reduction strategy,determines a path which can make the production accuracy and completion time more balanced than the minimum critical path *** deadline,the number of tasks,and the number of cyclic structures were used as the factors affecting the performance of the algorithm,changing the influence factors can improve the performance of the algorithm effectively through the analysis of detailed ***,comparison experiments proved the feasibility of the VIRA.

关键词： work-flow virtual iterative reduction time constraint accuracy optimization optimized scheduling

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Scope and caveats:Artificial intelligence in gastroenterology

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Artificial Intelligence in Gastroenterology 2024年第1期5卷 9-13页

作者： Gumpeny Ramachandra Sridhar Atmakuri V Siva Prasad Gumpeny Lakshmi Department of Endocrinology and Diabetes Endocrine and Diabetes CentreVisakhapatnam 530002India Department of Gastroenterology Institute of GastroenterologyVisakhapatnam 530003India Department of Internal Medicine Gayatri Vidya Parishad Institute of Healthcare&Medical TechnologyVisakhapatnam 530048India

The use of Artificial intelligence(AI)has evolved from its mid-20th century origins to playing a pivotal tool in modern *** leverages digital data and computational hardware for diverse applications,including diagnosis,prognosis,and treatment responses in gastrointestinal and hepatic *** has had an impact in diagnostic techniques,particularly endoscopy,ultrasound,and *** encompasses machine learning,natural language processing,and robotics,with machine learning being *** involves sophisticated algorithms capable of managing complex datasets,far surpassing traditional statistical *** algorithms,both supervised and unsupervised,are integral for interpreting large *** liver diseases,AI's non-invasive diagnostic applications,particularly in non-alcoholic fatty liver disease,and its role in characterizing hepatic lesions is *** aids in distinguishing between normal and cirrhotic livers and improves the accuracy of lesion characterization and prognostication of hepatocellular *** enhances lesion identification during endoscopy,showing potential in the diagnosis and management of early-stage esophageal *** peptic ulcer disease,AI technologies influence patient management *** is useful in colonoscopy,particularly in detecting smaller colonic ***,its applicability in nonacademic settings requires further *** these issues is vital for harnessing the potential of *** conclusion,while AI offers transformative possibilities in gastroenterology,careful integration and balancing of technical possibilities with ethical and practical application,is essential for optimal use.

关键词： Machine learning Neural networks Diagnosis work-flow Ethics Image Polyps Hepatoma

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