The Distributed Processing Approach to Providing a Combined Staffing and Word Processing System for Nursing Service

II. Your Present Moment in Spacetime

Terry's Archive Online ◽

10.48034/20210626 ◽

2021 ◽

Vol 2021 (06) ◽

pp. 0626

Author(s):

Conrad Dale Johnson

Keyword(s):

Quantum Physics ◽

Distributed Processing ◽

Processing System ◽

Physical World ◽

Measuring Instruments ◽

Present Moment ◽

Local Measurement ◽

Hyperbolic Structure ◽

Objective Reality ◽

Block Universe

This essay extends the argument begun in "Why Quantum Mechanics Makes Sense," exploring the conditions under which a physical world can define and communicate information. I argue that like the structure of quantum physics, the principles of Special and General Relativity can be understood as reflecting the requirements of a universe in which things are observable and measurable. I interpret the peculiar hyperbolic structure of spacetime not as the static, four-dimensional geometry of an unobservable "block universe", but as the background metric of an evolving web of communicated information that we, along with all our measuring instruments and recording devices, actually experience in our local "here and now." Our relativistic universe is conceived as a parallel distributed processing system, in which a common objective reality is constantly being woven out of many kinds of facts determined separately in countless local measurement-contexts.

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Dynamic Scheduling Model of Rail-Guided Vehicle (RGV) Based on Genetic Algorithms in the Context of Mobile Computing

International Journal of Mobile Computing and Multimedia Communications ◽

10.4018/ijmcmc.2021010103 ◽

2021 ◽

Vol 12 (1) ◽

pp. 43-62

Author(s):

Chen Xu ◽

Xueyan Xiong ◽

Qianyi Du ◽

Shudong Liu ◽

Yipeng Li ◽

...

Keyword(s):

Information System ◽

Mobile Computing ◽

Dynamic Scheduling ◽

Distributed Processing ◽

Processing System ◽

Time Dynamic ◽

Scheduling Model ◽

Practical Operation ◽

Optimization Efficiency ◽

Production And Operation

Track guidance vehicle (RGV) is widely used in logistics warehousing and intelligent workshop, and its scheduling effectiveness will directly affect the production and operation efficiency of enterprises. In practical operation, central information system often lacks flexibility and timeliness. By contrast, mobile computing can balance the central information system and the distributed processing system, so that useful, accurate, and timely information can be provided to RGV. In order to optimize the RGV scheduling problem in uncertain environment, a genetic algorithm scheduling rule (GAM) using greedy algorithm as the genetic screening criterion is proposed in this paper. In the experiment, RGV scheduling of two-step processing in an intelligent workshop is selected as the research object. The experimental results show that the GAM model can carry out real-time dynamic programming, and the optimization efficiency is remarkable before a certain threshold.

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Can You Identify These Celebrities? A Network Analysis on Differences between Word and Face Recognition

Mathematics ◽

10.3390/math8050699 ◽

2020 ◽

Vol 8 (5) ◽

pp. 699 ◽

Cited By ~ 3

Author(s):

Carmen Moret-Tatay ◽

Inmaculada Baixauli-Fortea ◽

M. Dolores Grau Sevilla ◽

Tatiana Quarti Irigaray

Keyword(s):

Face Recognition ◽

Network Analysis ◽

Word Processing ◽

Processing System ◽

Place Of Origin ◽

Masked Repetition ◽

The Relationship ◽

Repetition Priming Effect ◽

Vast Range

Face recognition is located in the fusiform gyrus, which is also related to other tasks such word recognition. Although these two processes have several similarities, there are remarkable differences that include a vast range of approaches, which results from different groups of participants. This research aims to examine how the word-processing system processes faces at different moments and vice versa. Two experiments were carried out. Experiment 1 allowed us to examine the classical discrimination task, while Experiment 2 allowed us to examine very early moments of discrimination. In the first experiment, 20 Spanish University students volunteered to participate. Secondly, a sample of 60 participants from different nationalities volunteered to take part in Experiment 2. Furthermore, the role of sex and place of origin were considered in Experiment 1. No differences between men and women were found in Experiment 1, nor between conditions. However, Experiment 2 depicted shorter latencies for faces than word names, as well as a higher masked repetition priming effect for word identities and word names preceded by faces. Emerging methodologies in the field might help us to better understand the relationship among these two processes. For this reason, a network analysis approach was carried out, depicting sub-communities of nodes related to face or word name recognition, which were replicated across different groups of participants. Bootstrap inferences are proposed to account for variability in estimating the probabilities in the current samples. This supports that both processes are related to early moments of recognition, and rather than being independent, they might be bilaterally distributed with some expert specializations or preferences.

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