1.

Record Nr.

UNINA9910966533903321

Autore

Large Stephen S

Titolo

Emperor Hirohito and Showa Japan : a political biography / / Stephen S. Large

Pubbl/distr/stampa

London ; ; New York, NY, : Routledge, 1992

ISBN

1-134-96876-0

1-138-00911-3

1-280-32378-7

1-134-96877-9

0-585-44734-9

Descrizione fisica

1 online resource (262 p.)

Collana

The Nissan Institute/Routledge Japanese studies series

Disciplina

952.033092

Soggetti

Political science - Japan

Japan Politics and government 1926-1989

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references (p. [231]-241) and index.

Nota di contenuto

Emperor Hirohito and Shōwa Japan A Political Biography; Copyright; Contents; Series editor's preface; Acknowledgements; Introduction; 1 The making of the Shōwa Emperor; 2 Japanese aggression and the limits of imperial influence, 1926-1933; 3 The challenge of Shōwa Restoration radicalism, 1931-1937; 4 The Emperor and war, 1937-1940; 5 World war and the imperial will, 1941-1945; 6 The Emperor and the Occupation, 1945-1952; 7 The politics of imperial symbolism, 1952-1970; 8 The Emperor and the imperial institution in late Shōwa Japan, 1970-1989; Conclusion; Notes; Bibliography; Index

Sommario/riassunto

Emperor Hirohito reigned for more than sixty years, yet we know little about him or the part he really played in the turbulent history of Showa Japan.Stephen Large draws on a wide range of Japanese and Western sources in his study of Emperor Hirohito's political role in Showa Japan (1926-89). This analysis focuses on key events in his career such as the extent to which he bore responsibility for Japanese aggression in the Pacific in 1941, and explains why Hirohito remains such a contested symbol in Japanese post war politics.



2.

Record Nr.

UNINA9911048012703321

Autore

Liang Qiaokang

Titolo

Intelligent Robotic Visual Perception with Deep Learning

Pubbl/distr/stampa

Chantilly : , : Elsevier, , 2025

©2025

ISBN

0-443-33533-8

Edizione

[1st ed.]

Descrizione fisica

1 online resource (283 pages)

Altri autori (Persone)

Qin candidateHai

XiangShao

Disciplina

629.892637

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Sommario/riassunto

Intelligent Robotic Visual Perception with Deep Learning provides an in-depth exploration of deep learning-based robot Intelligent vision perception technologies that helps readers establish a solid foundation to learn about the applications and latest theoretical methods in visual perception.