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 A self-stabilizing algorithm for a hierarchical middleware self-adaptive deployment : specification, proof, simulations

2016 ◽  
Vol Volume 25 - 2016 - Special... ◽  
Author(s):  
Maurice-Djibril Faye ◽  
Eddy Caron ◽  
Ousmane Thiare
Keyword(s):  
Distributed Systems ◽  
Nous Avons ◽  
Adaptive Algorithm ◽  
Adaptive Systems ◽  
The Self ◽  
Adaptive Mechanism ◽  
Effective Solution ◽  
Dynamic Nature ◽  
International Audience ◽  
Self Adaptive

International audience ABSTRACT. An effective solution to deal with this dynamic nature of distributed systems is to implement a self-adaptive mechanism to sustain the distributed architecture. Self-adaptive systems can autonomously modify their behavior at run-timein response to changes in their environment. Our paper describes the self-adaptive algorithm that we developed for an existing middleware. Once the middleware is deployed, it can detects a set of events which indicate an unstable deployment state. When an event is detected, some instructions are executed to handle the event. We have proposed a sketch proof of the self-stabilizing property of the algorithm. We have designed a simulator to have a deeper insights of our proposed self-adaptive algorithm. Results of our simulated experiments validate the safe convergence of the algorithm. RÉSUMÉ.Dans cet article, nous nous intéressons aux moyens de rendre le déploiement d’un intergiciel auto-adaptatif. Le type d’intergiciel que nous avons considéré ici est hiérarchique (structure de graphe) et distribué. Les infrastructures de grilles/cloud étant dynamiques (perte et ajout de nœuds),un déploiement statique n’est pas la solution idéale car en cas de panne, il est souvent nécessaire de reprendre tout le processus de déploiement; or cette opération est très coûteuse. Nous avons donc proposé un algorithme auto-stabilisant pour que l’intergiciel puisse retrouver un état stable sans intervention extérieure, au bout d’un temps fini, lorsqu’il est confronté à des pannes transitoires. Pouravoir une idée plus précise des caractéristiques de l’algorithme, nous avons conçu un simulateur. Lesrésultats des simulations montrent qu’un déploiement, sujet à des pannes transitoires, s’auto-adapte.

scholarly journals Self-adaptation of e-learning software based on observing the information environment

2019 ◽  
Vol 23 (3) ◽  
pp. 33-41
Author(s):  
A. M. Bershadskiy ◽  
A. S. Bozhday ◽  
A. A. Gudkov ◽  
Yu. I. Evseeva
Keyword(s):  
Life Cycle ◽  
Personal Characteristics ◽  
The Self ◽  
Universal Method ◽  
User Reviews ◽  
Applied Software ◽  
Adaptive Structure ◽  
E Learning ◽  
Self Adaptation ◽  
Self Adaptive

Purpose of the research. The purpose of the study is to develop a new universal method of self-adaptation of applied software systems used in the field of e-learning (E-Learning). Self-adaptation refers to the ability of a software application to change its own structure and behavior depending on external circumstances, which include, for example, the trainee’s personal characteristics, which is especially important for systems used in education. Such self-adaptive behavior should be sufficiently flexible and not be reduced to the choice of one of the many behavioral options predetermined by the developer (such behaviors should also be generated throughout the system’s life cycle). Materials and methods. The method being developed uses an array of user reviews about software as initial data, for the subsequent processing of which the methods of latent-semantic and distributive-statistical analysis are used. To represent the generalized self-adaptive structure of the system, models of characteristics are used. The configuration of the model of characteristics is a separate state of the self-adaptive system, they are generated automatically during the program’s life cycle as follows: based on an array of user reviews, a semantic network of basic concepts characterizing the program is formed, which is further compared with the original model of characteristics and personal characteristics of the user who left review. Determining a user’s personal characteristics can be done in a variety of ways (for example, using psychological testing or by analyzing learning outcomes). Results. The main results of the study are: 1) universal principles of building a self-adaptive e-learning system 2) a way of presenting the self-adaptive structure of a software system in the form of a characteristics model relevant to a wide range of software 3) a new universal method of self-adapting applied software used in E-Learning the main differences of which from the existing ones are, firstly, in using the opinions of the users of the system themselves to adjust with self-adaptive behavior, secondly, in the possibility of generating new states of the system throughout the entire period of its operation. Conclusion. The developed theoretical apparatus makes it possible to significantly individualize the learning process, take into account the opinions and inclinations of the students themselves, reduce the role of the pedagogical worker in the assessment of knowledge and skills. In addition to problems of a purely educational nature, the application of the method also allows you to successfully resolve technical issues related to the development of software in general. Such problems include, for example, the problem of software complexity, when a program that shows good results in some operating conditions shows insufficient performance in others. Also a serious task, which the proposed method can cope with, is the task of increasing the life cycle of a software system. 

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.

scholarly journals Structural synthesis of plane kinematic chain inversions without detecting isomorphism

2021 ◽  
Vol 12 (2) ◽  
pp. 1061-1071
Author(s):  
Jinxi Chen ◽  
Jiejin Ding ◽  
Weiwei Hong ◽  
Rongjiang Cui
Keyword(s):  
Mechanism Design ◽  
Adjacency Matrix ◽  
Synthesis Method ◽  
Kinematic Chain ◽  
Degree Of Freedom ◽  
Synthesis Methods ◽  
Creative Design ◽  
Structural Synthesis ◽  
Kinematic Chains

Abstract. A plane kinematic chain inversion refers to a plane kinematic chain with one link fixed (assigned as the ground link). In the creative design of mechanisms, it is important to select proper ground links. The structural synthesis of plane kinematic chain inversions is helpful for improving the efficiency of mechanism design. However, the existing structural synthesis methods involve isomorphism detection, which is cumbersome. This paper proposes a simple and efficient structural synthesis method for plane kinematic chain inversions without detecting isomorphism. The fifth power of the adjacency matrix is applied to recognize similar vertices, and non-isomorphic kinematic chain inversions are directly derived according to non-similar vertices. This method is used to automatically synthesize 6-link 1-degree-of-freedom (DOF), 8-link 1-DOF, 8-link 3-DOF, 9-link 2-DOF, 9-link 4-DOF, 10-link 1-DOF, 10-link 3-DOF and 10-link 5-DOF plane kinematic chain inversions. All the synthesis results are consistent with those reported in literature. Our method is also suitable for other kinds of kinematic chains.

A Method to Avoid Singularity of the Planar Four-Bar Linkage by Means of Self-Adaptive Structure

2014 ◽  
Vol 709 ◽  
pp. 227-233
Author(s):  
Rui Qin Guo ◽  
Wei Hu ◽  
Juan Liu ◽  
Song Lin
Keyword(s):  
Adaptive Mechanism ◽  
Control Parameters ◽  
Singularity Problem ◽  
Practical Solution ◽  
Adaptive Structure ◽  
Vexed Question ◽  
Four Bar Linkage ◽  
Mechanism Theory ◽  
Intrinsic Characteristic ◽  
Self Adaptive

The singularity, namely, the output movement of the mechanism is uncertain due to kinematic bifurcation at the singular position, is the intrinsic characteristic of mechanism, resulting in movement out of control. To find a practical solution for this vexed question to make mechanism able to avoid its singular position is the greatest challenge in the field of mechanism. Based on the study of the planar four-bar linkage with singularity, the ideology of introducing self-adaptive mechanism theory into the solution of avoid singularity problem is firstly put forward in this paper. Using self-adaptive mechanism to complement the out of control parameters of singular position can make the mechanism have the ability to avoid singularity. Then the mechanism passes through the singular position smoothly with determined movement and load capability. Finally, the purpose of avoiding singularity is achieved.

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.

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