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Institution

University of Aizu

EducationFukushima, Japan
About: University of Aizu is a education organization based out in Fukushima, Japan. It is known for research contribution in the topics: Terahertz radiation & Artificial neural network. The organization has 1602 authors who have published 4835 publications receiving 63165 citations. The organization is also known as: Aizu Daigaku.


Papers
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Journal ArticleDOI
TL;DR: In this article, the atomic mass excesses and binding energies, ground-state shell-plus-pairing corrections, ground state microscopic corrections, and nuclear ground state deformations of 9318 nuclei ranging from 16O to A = 339 were tabulated.

802 citations

Journal ArticleDOI
TL;DR: The unique features and novel application areas of MCSC are characterized and a reference framework for building human-in-the-loop MCSC systems is proposed, which clarifies the complementary nature of human and machine intelligence and envision the potential of deep-fused human--machine systems.
Abstract: With the surging of smartphone sensing, wireless networking, and mobile social networking techniques, Mobile Crowd Sensing and Computing (MCSC) has become a promising paradigm for cross-space and large-scale sensing. MCSC extends the vision of participatory sensing by leveraging both participatory sensory data from mobile devices (offline) and user-contributed data from mobile social networking services (online). Further, it explores the complementary roles and presents the fusion/collaboration of machine and human intelligence in the crowd sensing and computing processes. This article characterizes the unique features and novel application areas of MCSC and proposes a reference framework for building human-in-the-loop MCSC systems. We further clarify the complementary nature of human and machine intelligence and envision the potential of deep-fused human--machine systems. We conclude by discussing the limitations, open issues, and research opportunities of MCSC.

650 citations

Journal ArticleDOI
TL;DR: This work uses a high-level geometric language that can extend the interactive modeling system by input symbolic descriptions of primitives, operations, and predicates and supports combinations of representational styles, including constructive geometry, sweeping, soft objects, voxel-based objects, deformable and other animated objects.
Abstract: Concepts of functionally based geometric modeling including sets of objects, operations, and relations are discussed. Transformations of a defining real function are described for set-theoretic operations, blending, offsetting, bijective mapping, projection, cartesian products, and metamorphosis. Inclusion, point membership, and intersection relations are also described. We use a high-level geometric language that can extend the interactive modeling system by input symbolic descriptions of primitives, operations, and predicates. This approach supports combinations of representational styles, including constructive geometry, sweeping, soft objects, voxel-based objects, deformable and other animated objects. Application examples of aesthetic design, collisions simulation, NC machining, range data processing, and 3D texture generation are given.

476 citations

Journal ArticleDOI
TL;DR: The magic numbers in exotic nuclei are discussed, and their novel origin is shown to be the spin-isospin dependent part of the nucleon-nucleon interaction in nuclei.
Abstract: I talk about appearance of new magic numbers and disappearance of some existing usual magic numbers in exotic nuclei far from the s-stability line. This is a very intriguing problem, and its mechanism is related to basic properties of nucleon-nucleon interaction in a very robust way. Several exotic features of nuclei far from stability will be mentioned in a unified way in relation to this interaction.

472 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigate spectral and geometric properties of the mutation-crossover operator in a genetic algorithm with general-size alphabet and show how the crossover operator enhances the averaging procedure of the genetic algorithm in the random generator phase.

440 citations


Authors

Showing all 1635 results

NameH-indexPapersCitations
Xin Yao103110853446
Michael Shur102160151697
Xiang Li97147242301
Jun Ma97133839643
Sajal K. Das85112429785
Ivan Stojmenovic7339524753
Robert J. Buenker6656918499
Peng Li6682517800
Hiroyuki Sagawa6361117922
Jie Huang5843514789
Song Guo5557812454
Victor Ryzhii5349310063
Takaharu Otsuka5144312138
Karol Myszkowski512259465
Guojun Wang515029936
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20235
202228
2021238
2020269
2019275
2018262