Analysis of Hand Acupoints Selection Principle

Abstract This paper presents the reconfigurable legged mobile lander (ReLML) with its modes from adjusting, landing, to roving. Based on the invented metamorphic variable-axis revolute hinge, the actuated link has three alternative phases of rotating around either of two orthogonal topological axes or locking itself to the base as a rigid body. This property enables the ReLML to switch among three modes and within two driving states (as the adjusting and roving modes are active mechanisms driven by motors, while the landing truss is regarded as a passive mechanism driven by the touchdown impact force exerted on footpad). The unified differential kinematics for the ReLML is established by the screw-based Jacobian modeling, unifying both active and passive operation phases throughout all modes. Afterward, the distributions of workspaces and singularity loci in three modes are discussed for the multi-solution sake, and the selection principle of the practicable solution pattern is proposed to obtain the actual workspace, singularity loci, and configurations. The results stemming from the Jacobian-matrix-based method and the Grassmann-geometry-based method give mutual authentication and match well. Finally, as prospects for promising applications, four bifurcated evolution routes and configuration transitions are figured out and compared.

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The GS (genetic selection) Principle

Frontiers in Bioscience ◽

10.2741/3426 ◽

2009 ◽

Vol Volume (14) ◽

pp. 2959 ◽

Cited By ~ 12

Author(s):

David, L. Abel

Keyword(s):

Genetic Selection ◽

Selection Principle

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Loss avoidance as selection principle: Evidence from simple stag-hunt games

Economics Letters ◽

10.1016/j.econlet.2004.12.027 ◽

2005 ◽

Vol 88 (1) ◽

pp. 101-107 ◽

Cited By ~ 38

Author(s):

Ondrej Rydval ◽

Andreas Ortmann

Keyword(s):

Selection Principle ◽

Stag Hunt ◽

Loss Avoidance

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On localization of some star selection principle

Hacettepe Journal of Mathematics and Statistics ◽

10.15672/hujms.832056 ◽

2021 ◽

pp. 1-14

Author(s):

Debraj CHANDRA ◽

Nur ALAM

Keyword(s):

Selection Principle

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The second law as a selection principle: The microscopic theory of dissipative processes in quantum systems

Proceedings of the National Academy of Sciences ◽

10.1073/pnas.80.14.4590 ◽

1983 ◽

Vol 80 (14) ◽

pp. 4590-4594 ◽

Cited By ~ 37

Author(s):

I. Prigogine ◽

C. George

Keyword(s):

Microscopic Theory ◽

Quantum Systems ◽

Second Law ◽

Selection Principle ◽

Dissipative Processes

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Artificial Clonal Selection Model and Its Application

Intelligent Soft Computation and Evolving Data Mining ◽

10.4018/978-1-61520-757-2.ch006 ◽

2010 ◽

pp. 100-122

Author(s):

Shangce Gao ◽

Zheng Tang ◽

Hiroki Tamura

Keyword(s):

Immune System ◽

Computational Intelligence ◽

Clonal Selection ◽

Dynamical Behavior ◽

Computational Technique ◽

Clonal Selection Algorithm ◽

Traveling Salesman Problems ◽

Selection Principle ◽

Natural Processes ◽

Selection Principles

Artificial Immune System as a new branch in computational intelligence is the distributed computational technique inspired by immunological principles. In particular, the Clonal Selection Algorithm (CS), which tries to imitate the mechanisms in the clonal selection principle proposed by Burent to better understand its natural processes and simulate its dynamical behavior in the presence of antigens, has received a rapid increasing interest. However, the description about the mechanisms in the algorithm is rarely seen in the literature and the related operators in the algorithm are still inefficient. In addition, the comparison with other algorithms (especially the genetic algorithms) lacks of analysis. In this chapter, several new clonal selection principles and operators are introduced, aiming not only at a better understanding of the immune system, but also at solving engineering problems more efficiently. The efficiency of the proposed algorithm is verified by applying it to the famous traveling salesman problems (TSP).

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