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Articles by Chan Gu
Enhanced Monte‐Carlo tree search for dynamic flexible job shop scheduling with transportation time constraints
With the increasing uncertainty and complexity of industrial production, dynamic events are inevitably happened during the production process. This paper deals with the transportation time constrained dynamic flexible job shop scheduling problem with machine breakdown, new jobs arrival, jobs cancellation, and processing time change of operations. Considering the actual production situation, a makespan rescheduling model based on transportation time is established.
The Prescribed-Time Sliding Mode Control for Underactuated Bridge Crane
1. Introduction As a large cargo-handling tool, the bridge crane is widely used in the steelmaking process for its strong load capacity and flexible operation. However, the inherent structural characteristics of the crane will cause the ladle to swing during the transfer process, which will reduce the transfer efficiency and accuracy, and there are certain safety hazards.
Event-Triggered Bounded Consensus Tracking for Second-Order Nonlinear Multi-Agent Systems with Uncertainties
1. Introduction Nowadays, consensus tracking has been extensively investigated for MASs due to its widespread applications in many fields such as cooperative control of mobile robots and spacecraft formation flying control [1,2,3,4,5,6]. In MASs, each agent is usually equipped with embedded microprocessors, which have limited energy and computing resources.
A New Self-Tuning Deep Neuro-Sliding Mode Control for Multi-Machine Power System Stabilizer
Abstract : In order to increase the accuracy and improve the performance of the power system stabilizer (PSS) controller compared to the methods presented in other studies, this paper presents a new method for tuning sliding mode control (SMC) parameters for a PSS using a deep neural network. This controller requires fast switching which can create unwanted signals. To solve this problem, a boundary layer is used.
Decoding dynamic epigenetic landscapes in human oocytes using single-cell multi-omics sequencing
Highlights • scChaRM-seq enables single-cell multi-omics analyses of human oocytes • There is extensive de novo DNA methylation in growing human oocytes • Transcription and chromatin accessibility correlate with de novo DNA methylation • Comparative analyses reveal distinct molecular layers between human and mouse oocytes Summary Developing female human germ cells undergo genome-wide epigenetic reprogramming, but de novo DNA methylation dynamics and their interplay with chromatin states and...
The sequence preference of DNA methylation variation in mammalians
Methylation of cytosine at the 5 position of the pyrimidine ring is the most prevalent and significant epigenetic modifications in mammalian DNA. The CpG methylation level shows a bimodal distribution but the bimodality can be overestimated due to the heterogeneity of per-base depth. Here, we developed an algorithm to eliminate the effect of per-base depth inhomogeneity on the bimodality and obtained a random CpG methylation distribution.
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