Broad Changes Urged To Boost Slowing U.S. Industrial Productivity

1989 ◽  
Vol 67 (23) ◽  
pp. 9-10
Author(s):  
RICHARD J. SELTZER
Keyword(s):  
Industrial Productivity

scholarly journals Industrial Productivity

1955 ◽  
Vol 193 (1) ◽  
pp. 33-35 ◽  
Author(s):  
Seymour Melman
Keyword(s):  
Industrial Productivity

The Golf Boom in South Korea: Serving Hegemonic Interests

1992 ◽  
Vol 9 (4) ◽  
pp. 372-384 ◽  
Author(s):  
Minseok An ◽  
George H. Sage
Keyword(s):  
Economic Growth ◽  
South Korea ◽  
Political Stability ◽  
Golf Courses ◽  
Farm Land ◽  
The Past ◽  
Social Incentives ◽  
The Social ◽  
Industrial Productivity ◽  
The Government

In the past decade, to help maintain political stability and promote economic growth, South Korea has committed substantial resources to commercialized sports, including golf. A major source of support for building golf courses has come from government leaders and economic and social incentives as well. In the past 4 years the government has given permission to build 135 new golf courses. The official government discourse about the new golf courses is that they are being built in the interest of “sport for all.” But the golf courses overwhelmingly require membership, which is extremely expensive. Despite the enormous power and resources of the dominant groups in Korea, there are elements of opposition. The golf boom has been severely criticized because it removes large amounts of land from agricultural and industrial productivity, contaminates farm land, and pollutes water. It also represents the worst aspects of the social imbalance of wealth.

PRESENTING THE “TRUE FACE OF SYRIA” TO THE WORLD: URBAN DISORDER AND CIVILIZATIONAL ANXIETIES AT THE FIRST DAMASCUS INTERNATIONAL EXPOSITION

2010 ◽  
Vol 42 (3) ◽  
pp. 391-411 ◽  
Author(s):  
Kevin W. Martin
Keyword(s):  
United States ◽  
Latin America ◽  
Middle East ◽  
The United States ◽  
National Identities ◽  
The World ◽  
International Exposition ◽  
Industrial Productivity ◽  
Urban Disorder

International fairs—the “folk-festivals of capitalism”—have long been a favorite topic of historians studying quintessential phenomena of modernity such as the celebration of industrial productivity, the construction of national identities, and the valorization of bourgeois leisure and consumption in the late 19th and early 20th centuries in Europe, the United States, and Latin America. To date, however, such spectacles occurring in the modern Middle East remain largely unexamined. This article, an analysis of the discourse surrounding the first Damascus International Exposition in 1954, is conceived in part as a preliminary effort to redress this historiographic imbalance.

Review: Dynamic Factors in Industrial Productivity

ILR Review ◽  
1957 ◽  
Vol 10 (3) ◽  
pp. 472-474
Author(s):  
Peter O. Steiner
Keyword(s):  
Dynamic Factors ◽  
Industrial Productivity

scholarly journals Doing It for Themselves: The Steel Company of Wales and the Study of American Industrial Productivity, 1945–1955

2016 ◽  
Vol 18 (1) ◽  
pp. 184-213 ◽  
Author(s):  
LOUISE MISKELL
Keyword(s):  
World War Ii ◽  
Steel Industry ◽  
Marshall Plan ◽  
Iron And Steel Industry ◽  
World War ◽  
Steel Company ◽  
Iron And Steel ◽  
Industrial Productivity ◽  
Steel Sector ◽  
Anglo American

This article examines the efforts of one British steel company to acquire knowledge about American industrial productivity in the first post-World War II decade. It argues that company information-gathering initiatives in this period were overshadowed by the work of the formal productivity missions of the Marshall Plan era. In particular, it compares the activities of the Steel Company of Wales with the Anglo-American Council on Productivity (AACP), whose iron and steel industry productivity team report was published in 1952. Based on evidence from its business records, this study shows that the Steel Company of Wales was undertaking its own international productivity investigations, which started earlier and were more extensive and differently focused from those of the AACP. It makes the case for viewing companies as active participants in the gathering and dissemination of productivity knowledge in Britain’s steel sector after 1945.

THE EFFECT OF DIFFERENT OCCUPATIONAL BACKGROUND NOISES ON VOICE RECOGNITION ACCURACY

2022 ◽  
pp. 1-30
Author(s):  
Song Li ◽  
Mustafa Ozkan Yerebakan ◽  
Yue Luo ◽  
Ben Amaba ◽  
William Swope ◽  
...  
Keyword(s):  
Background Noise ◽  
Recognition Accuracy ◽  
Voice Recognition ◽  
Recognition Algorithm ◽  
Control Mechanisms ◽  
Recognition Algorithms ◽  
Significant Performance ◽  
Industrial Productivity ◽  
Overall Performance ◽  
Occupational Background

Abstract Voice recognition has become an integral part of our lives, commonly used in call centers and as part of virtual assistants. However, voice recognition is increasingly applied to more industrial uses. Each of these use cases has unique characteristics that may impact the effectiveness of voice recognition, which could impact industrial productivity, performance, or even safety. One of the most prominent among them is the unique background noises that are dominant in each industry. The existence of different machinery and different work layouts are primary contributors to this. Another important characteristic is the type of communication that is present in these settings. Daily communication often involves longer sentences uttered under relatively silent conditions, whereas communication in industrial settings is often short and conducted in loud conditions. In this study, we demonstrated the importance of taking these two elements into account by comparing the performances of two voice recognition algorithms under several background noise conditions: a regular Convolutional Neural Network (CNN) based voice recognition algorithm to an Auto Speech Recognition (ASR) based model with a denoising module. Our results indicate that there is a significant performance drop between the typical background noise use (white noise) and the rest of the background noises. Also, our custom ASR model with the denoising module outperformed the CNN based model with an overall performance increase between 14-35% across all background noises. . Both results give proof that specialized voice recognition algorithms need to be developed for these environments to reliably deploy them as control mechanisms.

Sign in / Sign up

Export Citation Format

Share Document