Research on Working Load of Opposed Dies Shearing Process. 1st Report. Classification of Working Load into Components.
نویسندگان
چکیده
منابع مشابه
Simulation of working conditions by maximum work load on firefighters.
The aim of this research is to find out whether the firefighter manpower is adequate to the requirements in the field under the most severe conditions. It also attempts to test whether firefighters' working ability corresponds to their age. To that purpose 220 Croatian firefighters from the Littoral Mountainous county, 99 professional firefighters from the city of Rijeka, 45 professional firefi...
متن کاملThe influence of working memory load on semantic priming.
The present research examines the nature of the different processes that have been proposed to underlie semantic priming. Specifically, it has been argued that priming arises as a result of automatic target activation and/or the use of strategies like prospective expectancy generation and retrospective semantic matching. This article investigates the extent that these processes rely on cognitiv...
متن کاملWorking Memory Load in Sentence Parsing
This thesis presents a computational model of working memory load in human sentence processing that attempts to explain a number of well-established linguistic performance effects that are associated with processing difficulty of certain syntactic structures. The computational model presented here is based on recent assumptions of working memory in computational cognitive modeling. In particula...
متن کاملWorking Memory Load Modulates Neuronal Coupling.
There is a severe limitation in the number of items that can be held in working memory. However, the neurophysiological limits remain unknown. We asked whether the capacity limit might be explained by differences in neuronal coupling. We developed a theoretical model based on Predictive Coding and used it to analyze Cross Spectral Density data from the prefrontal cortex (PFC), frontal eye field...
متن کاملWorking Memory Load Strengthens Reward Prediction Errors.
Reinforcement learning (RL) in simple instrumental tasks is usually modeled as a monolithic process in which reward prediction errors (RPEs) are used to update expected values of choice options. This modeling ignores the different contributions of different memory and decision-making systems thought to contribute even to simple learning. In an fMRI experiment, we investigated how working memory...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C
سال: 1995
ISSN: 0387-5024,1884-8354
DOI: 10.1299/kikaic.61.287