1.

Record Nr.

UNINA9910456786903321

Titolo

Analyzing gender, intersectionality, and multiple inequalities [[electronic resource] ] : global, transnational and local contexts / / edited by Esther Ngan-Ling Chow, Marcia Texler Segal, Lin Tan

Pubbl/distr/stampa

Bingley, U.K., : Emerald, 2011

ISBN

1-283-16036-6

9786613160362

0-85724-744-1

Descrizione fisica

1 online resource (400 p.)

Collana

Advances in gender research, , 1529-2126 ; ; v. 15

Altri autori (Persone)

ChowEsther Ngan-ling <1943->

SegalMarcia Texler <1940->

TanLin

Disciplina

305.3

Soggetti

Gender identity

Sex differences

Equality

Social psychology

Globalization - Social aspects

Electronic books.

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.

Nota di contenuto

pt. 1. Frameworks and methods -- pt. 2. Gender in global-local connections -- pt. 3. Transnational migration -- pt. 4. War and peace-building.

Sommario/riassunto

The papers in this volume were selected and revised from among those presented at the conference: "Gender and Social Transformation: Global, Transnational, and Local Realities and Perspectives," Beijing, China in 2009. Through case studies and interview data from across the globe we see how intersectionality and inequality are contextualized shaping women's agencies, gender relations, identity, the politics of belonging, power structures, institutional arrangements, and empowerment (self and/or collective) in local communities and cultures influenced by transnational and global networks and



2.

Record Nr.

UNINA9910520099003321

Autore

Wang Jing <1974 April 21->

Titolo

Data-Driven Fault Detection and Reasoning for Industrial Monitoring

Pubbl/distr/stampa

Springer Nature, 2022

Singapore : , : Springer Singapore Pte. Limited, , 2022

©2022

ISBN

981-16-8044-2

Descrizione fisica

1 online resource (277 pages)

Collana

Intelligent Control and Learning Systems ; ; v.3

Classificazione

TEC009000TEC037000

Altri autori (Persone)

ZhouJinglin

ChenXiaolu

Soggetti

Robotics

Artificial intelligence

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Sommario/riassunto

This open access book assesses the potential of data-driven methods in industrial process monitoring engineering. The process modeling, fault detection, classification, isolation, and reasoning are studied in detail. These methods can be used to improve the safety and reliability of industrial processes. Fault diagnosis, including fault detection and reasoning, has attracted engineers and scientists from various fields such as control, machinery, mathematics, and automation engineering. Combining the diagnosis algorithms and application cases, this book establishes a basic framework for this topic and implements various statistical analysis methods for process monitoring. This book is intended for senior undergraduate and graduate students who are interested in fault diagnosis technology, researchers investigating automation and industrial security, professional practitioners and engineers working on engineering modeling and data processing applications. This is an open access book.