scholarly journals Self-Powered Wireless Sensor Network for Automated Corrosion Prediction of Steel Reinforcement

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Dan Su ◽  
Ye Xia ◽  
Robert Yuan
Keyword(s):  
Sensor Network ◽  
Spatial Interpolation ◽  
Steel Reinforcement ◽  
Corrosion Process ◽  
Dynamic Prediction ◽  
Prediction Module ◽  
Key Issues ◽  
Self Powered ◽  
Corrosion Data

Corrosion is one of the key issues that affect the service life and hinders wide application of steel reinforcement. Moreover, corrosion is a long-term process and not visible for embedded reinforcement. Thus, this research aims at developing a self-powered smart sensor system with integrated innovative prediction module for forecasting corrosion process of embedded steel reinforcement. Vibration-based energy harvester is used to harvest energy for continuous corrosion data collection. Spatial interpolation module was developed to interpolate corrosion data at unmonitored locations. Dynamic prediction module is used to predict the long-term corrosion based on collected data. Utilizing this new sensor network, the corrosion process can be automated predicted and appropriate mitigation actions will be recommended accordingly.

A Contribution to the Modelling of the Corrosion Process for HLW Glasses

1984 ◽  
Vol 44 ◽  
Author(s):  
R. Conradt ◽  
H. Roggendorf ◽  
H. Scholze
Keyword(s):  
Corrosion Process ◽  
Slow Kinetics ◽  
Corrosion Data

AbstractAn evaluation of a broad set of HLWg lass corrosion data implies that adequate corrosion models must also take into account kinetics slower than √t. Solubility limits may not give a sufficient explanation for these cases. Before all, the long term leach rates are not infinitely small. A proposal is made how “slow” kinetics can be included in a model.

Populism and Liberal Democracy

2019 ◽  
Author(s):  
Takis S. Pappas
Keyword(s):  
United States ◽  
Liberal Democracy ◽  
The United States ◽  
Comprehensive Theory ◽  
The People ◽  
Original Definition ◽  
Key Issues ◽  
Great Relevance ◽  
Definition Of

Based on an original definition of modern populism as “democratic illiberalism” and many years of meticulous research, Takis Pappas marshals extraordinary empirical evidence from Argentina, Greece, Peru, Italy, Venezuela, Ecuador, Hungary, the United States, Spain, and Brazil to develop a comprehensive theory about populism. He addresses all key issues in the debate about populism and answers significant questions of great relevance for today’s liberal democracy, including: • What is modern populism and how can it be differentiated from comparable phenomena like nativism and autocracy? • Where in Latin America has populism become most successful? Where in Europe did it emerge first? Why did its rise to power in the United States come so late? • Is Trump a populist and, if so, could he be compared best with Venezuela’s Chávez, France’s Le Pens, or Turkey’s Erdoğan? • Why has populism thrived in post-authoritarian Greece but not in Spain? And why in Argentina and not in Brazil? • Can populism ever succeed without a charismatic leader? If not, what does leadership tell us about how to challenge populism? • Who are “the people” who vote for populist parties, how are these “made” into a group, and what is in their minds? • Is there a “populist blueprint” that all populists use when in power? And what are the long-term consequences of populist rule? • What does the expansion, and possibly solidification, of populism mean for the very nature and future of contemporary democracy? Populism and Liberal Democracy will change the ways the reader understands populism and imagines the prospects of liberal democracy.

Other Biological Approaches to OCD

2012 ◽  
Author(s):  
Nicole C. R. McLaughlin ◽  
Benjamin D. Greenberg
Keyword(s):  
Deep Brain Stimulation ◽  
Brain Stimulation ◽  
Response To Treatment ◽  
History Of ◽  
Key Issues ◽  
Term Management ◽  
Deep Brain

Interest in psychiatric neurosurgery has waxed and waned since the 1930s. This chapter reviews the history of these methods, with a focus on OCD. This review of lesion procedures and deep brain stimulation includes neuropsychological and neuroimaging research in the context of putative neurocircuitry underlying symptoms and response to treatment. The chapter highlights how an abundance of caution is needed, as well as key issues in long-term management of patients so treated.

Gaining access to the field in medical ethnography: Reflections on ethical, methodological, and structural challenges in the study of long-term care facilities

2021 ◽  
pp. 136345932098887
Author(s):  
Neta Roitenberg
Keyword(s):  
Long Term Care ◽  
Ethnographic Research ◽  
Term Care ◽  
Medical Institutions ◽  
Care Workers ◽  
Care Facilities ◽  
Key Issues ◽  
Access To The Field ◽  
Medical Ethnography

The article extends the discussion on the challenges in gaining access to the field in medical ethnographic research, focusing on long-term care (LTC) facilities. Medical institutions have been documented to be difficult sites to access. The reference, however, is to the recruitment of patients as informants. The challenges of recruiting practitioners as informants have not been investigated at all. The article presents the key issues that emerged in the process of gaining social access at the sites of two LTC facilities as part of a study on care workers’ identities. The main obstacles encountered during the fieldwork were organizational constraints and negotiating control over the process of recruiting the lower occupational tier of care workers with gatekeepers. The article presents the coping strategies implemented to overcome the ethical and methodological obstacles: continually reassessing the consent and cooperation of participants and developing a rapport with nurse’s aides during interviews.

scholarly journals Measuring the long-term effects of informal science education experiences: challenges and potential solutions

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Nancy L. Staus ◽  
John H. Falk ◽  
Aaron Price ◽  
Robert H. Tai ◽  
Lynn D. Dierking
Keyword(s):  
Science Learning ◽  
Longitudinal Research ◽  
Informal Science Education ◽  
Informal Science ◽  
Long Term Effects ◽  
Science Center ◽  
Informal Science Learning ◽  
Learner Outcomes ◽  
Key Issues

AbstractDespite the fact that most science learning takes place outside of school, little is known about how engagement in informal science learning (ISL) experiences affects learners’ knowledge, skill development, interest, or identities over long periods of time. Although substantial ISL research has documented short-term outcomes such as the learning that takes place during a science center visit, research suggests that the genuine benefits of informal experiences are long-term transformations in learners as they pursue a “cascade” of experiences subsequent to the initial educational event. However, a number of major methodological challenges have limited longitudinal research projects investigating the long-term effects of ISL experiences. In this paper we identify and address four key issues surrounding the critical but challenging area of how to study and measure the long-term effects or impacts of ISL experiences: attribution, attrition, data collection, and analytic approaches. Our objective is to provide guidance to ISL researchers wishing to engage in long-term investigations of learner outcomes and to begin a dialogue about how best to address the numerous challenges involved in this work.

scholarly journals Investigating Master–Slave Architecture for Underwater Wireless Sensor Network

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3000
Author(s):  
Sadeeq Jan ◽  
Eiad Yafi ◽  
Abdul Hafeez ◽  
Hamza Waheed Khatana ◽  
Sajid Hussain ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Propagation Delay ◽  
Data Packet ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Term Survival ◽  
Limited Bandwidth ◽  
Delay Tolerant

A significant increase has been observed in the use of Underwater Wireless Sensor Networks (UWSNs) over the last few decades. However, there exist several associated challenges with UWSNs, mainly due to the nodes’ mobility, increased propagation delay, limited bandwidth, packet duplication, void holes, and Doppler/multi-path effects. To address these challenges, we propose a protocol named “An Efficient Routing Protocol based on Master–Slave Architecture for Underwater Wireless Sensor Network (ERPMSA-UWSN)” that significantly contributes to optimizing energy consumption and data packet’s long-term survival. We adopt an innovative approach based on the master–slave architecture, which results in limiting the forwarders of the data packet by restricting the transmission through master nodes only. In this protocol, we suppress nodes from data packet reception except the master nodes. We perform extensive simulation and demonstrate that our proposed protocol is delay-tolerant and energy-efficient. We achieve an improvement of 13% on energy tax and 4.8% on Packet Delivery Ratio (PDR), over the state-of-the-art protocol.

scholarly journals Spatial mapping of ground-based observations of total ozone

2015 ◽  
Vol 8 (10) ◽  
pp. 4487-4505 ◽  
Author(s):  
K.-L. Chang ◽  
S. Guillas ◽  
V. E. Fioletov
Keyword(s):  
Spatial Interpolation ◽  
Stochastic Partial Differential Equation ◽  
Positive Impact ◽  
The Novel ◽  
Total Column Ozone ◽  
Column Ozone ◽  
Source Of Information ◽  
Total Column ◽  
Ozone Levels

Abstract. Total column ozone variations estimated using ground-based stations provide important independent source of information in addition to satellite-based estimates. This estimation has been vigorously challenged by data inhomogeneity in time and by the irregularity of the spatial distribution of stations, as well as by interruptions in observation records. Furthermore, some stations have calibration issues and thus observations may drift. In this paper we compare the spatial interpolation of ozone levels using the novel stochastic partial differential equation (SPDE) approach with the covariance-based kriging. We show how these new spatial predictions are more accurate, less uncertain and more robust. We construct long-term zonal means to investigate the robustness against the absence of measurements at some stations as well as instruments drifts. We conclude that time series analyzes can benefit from the SPDE approach compared to the covariance-based kriging when stations are missing, but the positive impact of the technique is less pronounced in the case of drifts.

Real-World Sensor Network for Long-Term Volcano Monitoring: Design and Findings

2012 ◽  
Vol 23 (2) ◽  
pp. 321-329 ◽  
Author(s):  
Renjie Huang ◽  
Wen-Zhan Song ◽  
Mingsen Xu ◽  
Nina Peterson ◽  
Behrooz Shirazi ◽  
...  
Keyword(s):  
Sensor Network ◽  
Real World ◽  
Volcano Monitoring ◽  
Monitoring Design
Sign in / Sign up

Export Citation Format

Share Document