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Jung-Sing Jwo

Researcher at Tunghai University

Publications -  56
Citations -  1060

Jung-Sing Jwo is an academic researcher from Tunghai University. The author has contributed to research in topics: Computer science & Hamiltonian path. The author has an hindex of 10, co-authored 51 publications receiving 947 citations. Previous affiliations of Jung-Sing Jwo include University of Oklahoma & Providence College.

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Symmetry in interconnection networks based on Cayley graphs of permutation groups: a survey

TL;DR: A comprehensive and unified analysis of symmetry in a wide variety of Cayley graphs of permutation groups, including the star graph, bubble-sort graph, modified bubble- sort graph, complete-transposition graph, prefix-reversal graph, alternating-group graph, binary and base-b (b ≥ 3) hypercube, cube connected cycles, bisectional graph, folded hypercube and binary orthogonal graph is provided.
Journal ArticleDOI

A new class of interconnection networks based on the alternating group

TL;DR: This paper introduces a new class of interconnection scheme based on the Cayley graph of the alternating group, and it is shown that this class of graphs are edge symmetric and 2-transitive.
Journal ArticleDOI

Embedding of cycles and grids in star graphs

TL;DR: This paper describes a new class of algorithms for embedding the Hamiltonian cycle, the set of all even cycles and a variety of two- and multi-dimensional grids in a star graph and derives an algorithm for the ranking and the unranking problem with respect to theHamiltonian cycle.
Proceedings ArticleDOI

Embedding of cycles and grids in star graphs

TL;DR: The authors describe a new class of algorithms for embedding Hamiltonian cycle, the set of all even cycles and a variety of two and multi-dimensional grids in a star graph.
Journal ArticleDOI

An RFID-based enterprise application integration framework for real-time management of dynamic manufacturing processes

TL;DR: The findings of this research demonstrate that the proposed EAI framework is more capable than most current industrial practices in both managing dynamic manufacturing processes and in providing real-time visibility of work-in-process information.