The Self-Adaptive Design Model of Architecture-Centric Granularity Service Cluster

2008 ◽  
Author(s):  
Xiaona Xia ◽  
Baoxiang Cao
Keyword(s):  
Adaptive Design ◽  
The Self ◽  
Design Model ◽  
Self Adaptive

The Application of Self-Adaptive Design in Improvement of the Restoring Strand Operation Mechanism

2013 ◽  
Vol 579-580 ◽  
pp. 420-424
Author(s):  
Zhang Shi Liu
Keyword(s):  
Mechanism Design ◽  
Transmission Lines ◽  
Adaptive Design ◽  
Kinematic Chain ◽  
The Self ◽  
Common Mechanism ◽  
Universal Method ◽  
Adaptive Mechanism ◽  
Operation Mechanism ◽  
Self Adaptive

Aiming at solving the problem that the existing restoring strand operation mechanism cannot realize self-adaption to the variation of position and shape of transmission lines, a method for self-adaptive mechanism design is introduced and summarized to meliorate the mechanism. This method is effective and practical, which can be applied to most common mechanism design: first of all, analyze the structural features of the self-adaptive mechanism; secondly, establish a universal method to determine the structure type named as initial kinematic chain which contains information of the degree of freedom (DOF), the number of links and the kinematic relations between every two of them; finally, considering the features of the existing mechanism, apply the self-adaption design to realize the required mechanism by inverting the initial kinematic chain, and build models and simulations to prove that the improved mechanism does have the ability of self-adaption to the location and shape variation of transmission lines.

scholarly journals Decomposition of Vibration Signals into Deterministic and Nondeterministic Components and its Capabilities of Fault Detection and Identification

2009 ◽  
Vol 19 (2) ◽  
pp. 327-335 ◽  
Author(s):  
Tomasz Barszcz
Keyword(s):  
Fault Detection ◽  
Adaptive Filter ◽  
Complex Structure ◽  
Reference Signal ◽  
The Self ◽  
Noise Component ◽  
Vibration Signals ◽  
Detection And Identification ◽  
Fault Detection And Identification ◽  
Self Adaptive

Decomposition of Vibration Signals into Deterministic and Nondeterministic Components and its Capabilities of Fault Detection and IdentificationThe paper investigates the possibility of decomposing vibration signals into deterministic and nondeterministic parts, based on the Wold theorem. A short description of the theory of adaptive filters is presented. When an adaptive filter uses the delayed version of the input signal as the reference signal, it is possible to divide the signal into a deterministic (gear and shaft related) part and a nondeterministic (noise and rolling bearings) part. The idea of the self-adaptive filter (in the literature referred to as SANC or ALE) is presented and its most important features are discussed. The flowchart of the Matlab-based SANC algorithm is also presented. In practice, bearing fault signals are in fact nondeterministic components, due to a little jitter in their fundamental period. This phenomenon is illustrated using a simple example. The paper proposes a simulation of a signal containing deterministic and nondeterministic components. The self-adaptive filter is then applied—first to the simulated data. Next, the filter is applied to a real vibration signal from a wind turbine with an outer race fault. The necessity of resampling the real signal is discussed. The signal from an actual source has a more complex structure and contains a significant noise component, which requires additional demodulation of the decomposed signal. For both types of signals the proposed SANC filter shows a very good ability to decompose the signal.

Design and vibration analysis of a self-adaptive piston in a novel nanoimprint system

2017 ◽  
Vol 69 (4) ◽  
pp. 591-597
Author(s):  
Chaoran Liu ◽  
Yufeng Su ◽  
Jinzhao Yue ◽  
Junjie Wang ◽  
Weiwei Xia ◽  
...  
Keyword(s):  
Nanoimprint Lithography ◽  
Vibration Analysis ◽  
Design Methodology ◽  
The Self ◽  
Ball Screw ◽  
Piston Rings ◽  
Content Type ◽  
Simulation Results ◽  
The One ◽  
Self Adaptive

Purpose A self-adaptive piston is designed for the compressional gas cushion press nanoimprint lithography system. It avoids the lube pollution and high wear of traditional piston. Design/methodology/approach The self-adaptive piston device consists of symmetrical piston bodies, piston rings and other parts. The two piston bodies are linked by a ball-screw. The locking nut adjusts the distance between two piston bodies to avoid the piston rings from being stuck. The piston rings are placed between two piston bodies. Findings The simulation results based on COMSOL indicate that cylinder vibration caused by self-adaptive piston is 15.9 times smaller than the one caused by a traditional piston. Originality/value The self-adaptive piston is superior to the traditional piston in decreasing cylinder vibration.

Self-adaptive design of hidden Markov models

2004 ◽  
Vol 25 (2) ◽  
pp. 197-210 ◽  
Author(s):  
Jie Li ◽  
Jiaxin Wang ◽  
Yannan Zhao ◽  
Zehong Yang
Keyword(s):  
Hidden Markov Models ◽  
Adaptive Design ◽  
Markov Models ◽  
Hidden Markov ◽  
Self Adaptive

scholarly journals Adaptive Learning Mode of a Multimedia-based "English Literature" Learning System

2017 ◽  
Vol 12 (01) ◽  
pp. 71 ◽  
Author(s):  
Jie Mei ◽  
Yanhong Guo ◽  
Xiaokun Li
Keyword(s):  
Adaptive Learning ◽  
English Literature ◽  
Learning System ◽  
The Self ◽  
Independent Learning ◽  
Learning Ability ◽  
Teaching Model ◽  
Learning Situation ◽  
Teaching Pattern ◽  
Self Adaptive

In this paper, a multimedia-based English pronunciation learning system was designed. On this basis, a self-adaptive learning mode which consists of the teaching mode and the independent learning mode was proposed. The self-adaptive teaching model uses corpus technology and covers the exploratory “3I” (Illustration-Interaction-Induction) teaching model, thereby changing the traditional teaching pattern of “spoon-feeding”; when it comes to the independent learning mode, the self-adaptive system can automatically set corresponding learning tasks according to the learning situation of students, to improve the autonomy and differences of students’ self-learning. At the same time, the approach of comparative teaching was especially adopted to test the validity of this system and the learning mode. Specifically, the exquisite course of “English Literature” for students of Grade 2015 majoring in English was selected as the experimental group, to compare with the learning situation of their counterparts of Grade 2014 in the last year. The results show that the learning mode is remarkable in its teaching practicality, could bring a significant effect on improving teaching efficiency and students’ independent learning ability, and enjoys a high research value and a promising application prospect.

Design and experimental study of the self-adaptive splitting technology of lotus seeds

2020 ◽  
pp. 1-11
Author(s):  
Ange Lu ◽  
Qiucheng Ma ◽  
Jie Ma
Keyword(s):  
Mathematical Model ◽  
Experimental Study ◽  
Firefly Algorithm ◽  
Test Bench ◽  
The Self ◽  
Linkage Mechanism ◽  
Lotus Seed ◽  
Medicinal Value ◽  
Splitting Process ◽  
Self Adaptive

The lotus plumule has high medicinal value and is an important part of the lotus seed. Usually, the lotus seed must be split symmetrically into two halves through a splitting process to obtain an intact lotus plumule. However, this process is difficult to mechanize and automate, as different lotus seeds are of different sizes. In this study, a novel automatic self-adaptive splitting technology (SAST) is proposed for lotus seeds, based on a specially designed combined linkage mechanism and a roller pair centering mechanism. The technology can automatically adjust the position of the splitting point taper punch according to the size of the lotus seed and ensure that the tip of the punch is on the axis of the lotus seed. First, the centering deviation of the centering mechanism was analyzed. A mathematical model for the SAST was developed, and the key parameters were optimized using the firefly algorithm. An automatic splitting machine and a test bench were designed for centering deviation measurements, and both centering and splitting experiments were conducted. The generated maximum centering deviation of the SAST was <0.176 mm; the highest accurate splitting rates of 95% and 93.05% were achieved for unclassified and graded lotus seeds, respectively.

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