scholarly journals Increased data accumulation from COVID‐19 cases in children is needed

2021 ◽  
Vol 63 (9) ◽  
pp. 1006-1006
Author(s):  
Yoshinori Ito
Keyword(s):  
Data Accumulation

scholarly journals “just hanging out with you in my back yard”: Mark Zuckerberg and Mediated Paternalism

2018 ◽  
Vol 1 (1) ◽  
pp. 417-427
Author(s):  
Ben Little ◽  
Alison Winch
Keyword(s):  
Domestic Space ◽  
Power Structures ◽  
Domestic Sphere ◽  
The Third ◽  
Data Accumulation ◽  
Eating Meat ◽  
The World ◽  
Patriarchal Power

Abstract In a video that showcases a new Facebook feature, Mark Zuckerberg chats to his users, telling them that he’s “just hanging out with you in my backyard.” In this video-which is on his Facebook page-Zuckerberg discloses the domestic space of his backyard, revealing his interaction with family and friends. Depicted hosting a barbeque while watching the electoral debate, Zuckerberg performs an affective white postfeminist paternity (Hamad, 2014) by talking about hunting, eating meat, and being a father. This video is key in explaining how Zuckerberg affectively models patriarchal power. We argue that this PR exercise (for both him and Facebook which are portrayed as inextricably linked) functions to represent Facebook as enabling an empowered “community,” rather than being just an instrument of data accumulation. In particular, Zuckerberg’s affective paternalism is also a means to recoup and obfuscate patriarchal power structures. Zuckerberg’s Facebook page constructs an intimate paternalism in relation to his domestic sphere, but also to his followers, and this works to legitimate his corporate and global paternalism. The ways in which he is portrayed through signifiers of an emotional fatherhood work to gloss his power as the third richest man in the world.

scholarly journals A Desccriptive Study on the Use of Code Mixing by the English Teacher at SMAN Bali Mandara in the Academic Year 2014/2015

2018 ◽  
Vol 23 (2) ◽  
pp. 1
Author(s):  
N M.G. Purnamasari ◽  
I Nyoman Adi Jaya Putra ◽  
Ni Komang Arie Suwastini
Keyword(s):  
English Teacher ◽  
Qualitative Design ◽  
Code Mixing ◽  
Data Accumulation ◽  
Interview Guide ◽  
Academic Year ◽  
Audio Recorder ◽  
Speech Content ◽  
Descriptive Qualitative

This study aimed at finding out the process of code mixing, the reasons of using code mixing by English teacher of grade X and knowing the students’ responses on the use of code mixing used by their English teacher at SMAN Bali Mandara in the academic year 2014/2015. This research was conducted by using descriptive qualitative design. The instruments used in this study were observation sheet, audio recorder, interview guide and questionnaires. Accordingly, the data accumulation showed that there was 84 sentences, classified as insertion processes, and then 37 sentences belonged to alternation process, and the last there were 14 sentences, classified as congruent lexicalization processes. The reasons of using code mixing were, 1) to make intention of clarifying the speech content for interlocutor, 2) to be emphatic about something, 3) there is no appropriate word which can be understood by the students, 4) to help the teacher to create relax situation, and 5) to quote somebody else.

Automatic Data-Accumulation System for Wind Tunnels

1956 ◽  
Vol EC-5 (1) ◽  
pp. 7-11 ◽  
Author(s):  
J. J. Wedel ◽  
A. Huntington ◽  
M. B. Bain
Keyword(s):  
Wind Tunnels ◽  
Automatic Data ◽  
Data Accumulation ◽  
Accumulation System

scholarly journals Industrial Internet of Things and Fog Computing to Reduce Energy Consumption in Drinking Water Facilities

Processes ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 282 ◽  
Author(s):  
Adrian Korodi ◽  
Ruben Crisan ◽  
Andrei Nicolae ◽  
Ioan Silea
Keyword(s):  
Drinking Water ◽  
Energy Consumption ◽  
Internet Of Things ◽  
Fog Computing ◽  
Industrial Internet Of Things ◽  
Non Invasive ◽  
Data Accumulation ◽  
Industrial Internet ◽  
Reduce Energy Consumption ◽  
And Control

The industry is generally preoccupied with the evolution towards Industry 4.0 principles and the associated advantages as cost reduction, respectively safety, availability, and productivity increase. So far, it is not completely clear how to reach these advantages and what their exact representation or impact is. It is necessary for industrial systems, even legacy ones, to assure interoperability in the context of chronologically dispersed and currently functional solutions, respectively; the Open Platform Communications Unified Architecture (OPC UA) protocol is an essential requirement. Then, following data accumulation, the resulting process-aware strategies have to present learning capabilities, pattern identification, and conclusions to increase efficiency or safety. Finally, model-based analysis and decision and control procedures applied in a non-invasive manner over functioning systems close the optimizing loop. Drinking water facilities, as generally the entire water sector, are confronted with several issues in their functioning, with a high variety of implemented technologies. The solution to these problems is expected to create a more extensive connection between the physical and the digital worlds. Following previous research focused on data accumulation and data dependency analysis, the current paper aims to provide the next step in obtaining a proactive historian application and proposes a non-invasive decision and control solution in the context of the Industrial Internet of Things, meant to reduce energy consumption in a water treatment and distribution process. The solution is conceived for the fog computing concept to be close to local automation, and it is automatically adaptable to changes in the process’s main characteristics caused by various factors. The developments were applied to a water facility model realized for this purpose and on a real system. The results prove the efficiency of the concept.

scholarly journals A framework for Resource-Aware Data Accumulation in sparse wireless sensor networks

2011 ◽  
Vol 34 (17) ◽  
pp. 2094-2103 ◽  
Author(s):  
Kunal Shah ◽  
Mario Di Francesco ◽  
Giuseppe Anastasi ◽  
Mohan Kumar
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Data Accumulation ◽  
Resource Aware

scholarly journals Progressive System: A Deep-Learning Framework for Real-Time Data in Industrial Production

Processes ◽  
2020 ◽  
Vol 8 (6) ◽  
pp. 649
Author(s):  
Yifeng Liu ◽  
Wei Zhang ◽  
Wenhao Du
Keyword(s):  
Deep Learning ◽  
Real Time ◽  
Large Scale ◽  
Quality Data ◽  
Time Data ◽  
High Quality ◽  
Real Time System ◽  
High Quality Data ◽  
Learning Framework ◽  
Data Accumulation

Deep learning based on a large number of high-quality data plays an important role in many industries. However, deep learning is hard to directly embed in the real-time system, because the data accumulation of the system depends on real-time acquisitions. However, the analysis tasks of such systems need to be carried out in real time, which makes it impossible to complete the analysis tasks by accumulating data for a long time. In order to solve the problems of high-quality data accumulation, high timeliness of the data analysis, and difficulty in embedding deep-learning algorithms directly in real-time systems, this paper proposes a new progressive deep-learning framework and conducts experiments on image recognition. The experimental results show that the proposed framework is effective and performs well and can reach a conclusion similar to the deep-learning framework based on large-scale data.

scholarly journals A BeiDou Signal Acquisition Approach Using Variable Length Data Accumulation Based on Signal Delay and Multiplication

Sensors ◽  
2020 ◽  
Vol 20 (5) ◽  
pp. 1309 ◽  
Author(s):  
Menghuan Yang ◽  
Hong Wu ◽  
Qiqi Wang ◽  
Yingxin Zhao ◽  
Zhiyang Liu
Keyword(s):  
Doppler Frequency ◽  
Variable Length ◽  
Signal Acquisition ◽  
Noise Power ◽  
Signal Delay ◽  
Coherent Integration ◽  
Transition Problem ◽  
Data Accumulation ◽  
Length Data

The secondary modulation with the Neumann-Hoffman code increases the possibility of bit sign transition. Unlike other GNSS signals, there is no pilot component for synchronization in BeiDou B1/B3 signals, which increases the complexity in acquisition. A previous study has shown that the delay and multiplication (DAM) method is able to eliminate the bit sign transition problem, but it only applies to pretty strong signals. In this paper, a DAM-based BeiDou signal acquisition approach, called variable length data accumulation (VLDA), is proposed to acquire weak satellite signals. Firstly, the performance of DAM method versus the different delays is analyzed. The DAM operation not only eliminates bit sign transition, but it also increases noise power. Secondly, long-term signal is periodically accumulated to improve signal intensity in order to acquire weak signals. While considering the Doppler frequency shift of ranging codes, the signal length must be compensated before accumulating long-term signal. Finally, the fast-Fourier-transform based parallel code phase algorithm are used for acquisition. The simulation results indicate that the proposed VLDA method has better acquisition sensitivity than traditional non-coherent integration method under the same calculation amount. The VLDA method only requires approximately 27.5% of calculations to achieve the same acquisition sensitivity (35 dBHz). What is more, the actual experimental results verify the feasibility of the VLDA method. It can be concluded that the proposed approach is an effective and feasible method for solving the bit sign transition problem.

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