Using Computational Intelligence for Improved Teleoperation over Wireless Network

2012 ◽  
pp. 102-123 ◽  
Author(s):  
Salman H. Khan ◽  
Arsalan H. Khan ◽  
Zeashan H. Khan
Keyword(s):  
Applied Sciences ◽  
Real Time ◽  
Wireless Network ◽  
Computational Intelligence ◽  
Networked Control Systems ◽  
Engineering Applications ◽  
Intelligent Decision ◽  
Application Requirements

The role of computational intelligence techniques in applied sciences and engineering is becoming popular today. It is essential because the autonomous engineering applications require intelligent decision in real time in order to achieve the desired goal. This chapter discusses some of the approaches to demonstrate various applications of computational intelligence in dependable networked control systems and a case study of teleoperation over wireless network. The results have shown that computational intelligence algorithms can be successfully implemented on an embedded application to offer an improved online performance. The different approaches have been compared and could be chosen as per application requirements.

scholarly journals Nowcasting Euro Area Economic Activity in Real Time: The Role of Confidence Indicators

2009 ◽  
Vol 210 ◽  
pp. 90-97 ◽  
Author(s):  
Domenico Giannone ◽  
Lucrezia Reichlin ◽  
Saverio Simonelli
Keyword(s):  
Real Time ◽  
Euro Area ◽  
Economic Activity ◽  
Model Based

This paper assesses the role of qualitative surveys for the early estimation of GDP in the Euro Area in a model-based automated procedure which exploits the timeliness of their release. The analysis is conducted using both an historical evaluation and a real-time case study on the current conjuncture.

scholarly journals Real-time quantification of the transmission advantage associated with a single mutation in pathogen genomes: a case study on the D614G substitution of SARS-CoV-2

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Shi Zhao ◽  
Jingzhi Lou ◽  
Lirong Cao ◽  
Hong Zheng ◽  
Marc K. C. Chong ◽  
...  
Keyword(s):  
Real Time ◽  
Analytical Framework ◽  
Single Mutation ◽  
Modelling Framework ◽  
Statistical Framework ◽  
Reproduction Numbers ◽  
Population Scale ◽  
Time Basis

Abstract Background The COVID-19 pandemic poses serious threats to global health, and the emerging mutation in SARS-CoV-2 genomes, e.g., the D614G substitution, is one of the major challenges of disease control. Characterizing the role of the mutation activities is of importance to understand how the evolution of pathogen shapes the epidemiological outcomes at population scale. Methods We developed a statistical framework to reconstruct variant-specific reproduction numbers and estimate transmission advantage associated with the mutation activities marked by single substitution empirically. Using likelihood-based approach, the model is exemplified with the COVID-19 surveillance data from January 1 to June 30, 2020 in California, USA. We explore the potential of this framework to generate early warning signals for detecting transmission advantage on a real-time basis. Results The modelling framework in this study links together the mutation activity at molecular scale and COVID-19 transmissibility at population scale. We find a significant transmission advantage of COVID-19 associated with the D614G substitution, which increases the infectivity by 54% (95%CI: 36, 72). For the early alarming potentials, the analytical framework is demonstrated to detect this transmission advantage, before the mutation reaches dominance, on a real-time basis. Conclusions We reported an evidence of transmission advantage associated with D614G substitution, and highlighted the real-time estimating potentials of modelling framework.

scholarly journals A case study: emerging role of telehealth and local health practitioners during COVID-19 pandemic

2021 ◽  
Vol 8 (5) ◽  
pp. 2537
Author(s):  
Absar Husain ◽  
Ajoke Akinola ◽  
S. M. Akhtar
Keyword(s):  
Real Time ◽  
Health Care Providers ◽  
Urban Areas ◽  
Healthcare Delivery ◽  
Medical Emergency ◽  
Local Health ◽  
Care Providers ◽  
Health Practitioners

This case study investigates the experiences of planning and strategies to respond to a medical emergency and healthcare delivery during the COVID-19 pandemic, the local health practitioners from rural and urban areas of northern India; we included the experiences of telemedicine among the practitioners of Allopathic medicine System, Indian medicine System, and Allied health services. The case study recorded descriptive telephonic interviews about the situation, task, and action towards telehealth. The 35 respondents from Uttar Pradesh, Madhya Pradesh, Delhi, and Rajasthan. Find the results approximately 10-90% of telehealth services increase in clinical and non-clinical facilities. Approximately 95% of healthcare providers adapted telehealth delivery in the pandemic situation. The observation of preparedness in telehealth services and continued effort to address the situation by local health care providers. The status of real-time response to the prevention and control of new incidents. The role of telehealth setting in COVID-19, situation disembarrass through Voice call, text message, picture/video message, and all other possible measures were employed to accumulate maximum clinical information in real-time.

Livestreaming Influencers, Influence Types, and Political Participation: A Case Study of Taiwan’s 2020 Presidential Election

2021 ◽  
Vol 8 (1-2) ◽  
pp. 92-118
Author(s):  
Kenneth C. C. Yang ◽  
Yowei Kang
Keyword(s):  
Political Participation ◽  
Real Time ◽  
Political Communication ◽  
Presidential Election ◽  
Mobile App ◽  
Communication Tool ◽  
Web Based

Abstract Livestreaming platforms have emerged as an important political communication tool for engaging with constituents. Twitch, YouTube Live, Mixer, and Facebook can broadcast real-time video contents via Web-based services and mobile app platforms. Our case study aims to determine whether livestreaming influencers generated political participation during Taiwan’s 2020 presidential election. This case study is based on a framework that integrates the literature on political communication and influencer marketing. In this article, we describe the rise of livestreaming platforms and explain the role of livestreamers in political communication. We also examine whether the characteristics of livestreaming influencers and the type of influence they exert increased political participation by their fans and followers and whether this accounted for the success of Tsai Ing-wen’s victory in her 2020 campaign for re-election as president.

scholarly journals Load Aggregator-Based Integrated Demand Response for Residential Smart Energy Hubs

2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Wenjie Lv ◽  
Jian Wu ◽  
Zhao Luo ◽  
Min Ding ◽  
Xiang Jiang ◽  
...  
Keyword(s):  
Real Time ◽  
Demand Response ◽  
Noncooperative Game ◽  
Real Time Scheduling ◽  
Maximal Profit ◽  
Time Scheduling ◽  
Flexible Loads ◽  
Flexible Resource

In order to attract more flexible resource to take part in integrated demand response (IDR), this can be realized by introducing load aggregator-based framework. In this paper, based on residential smart energy hubs (S.E. Hubs), a two-level IDR framework is proposed, in which S.E. Hub operators play the role of load aggregators. The framework includes day-ahead bidding and real-time scheduling. In day-ahead bidding, S.E. Hub operators have to compete dispatching amount for maximal profit; hence, noncooperative game approach is formulated to describe the competition behavior among operators. In real-time scheduling, the dispatching model is formulated to minimize the error between real-time scheduling amount and bidding amount. Moreover, in order to reduce the influence of IDR on residential users, 4 categories of users’ flexible loads are modeled according to load consumption characteristic, and then these models are considered as the constraints in real-time scheduling. A case study is designed to validate the effectiveness of the proposed two-level IDR framework. And simulation results confirm that smart grid, S.E. Hub operators, and residential users can benefit simultaneously.

The role of multiplicity in a cult: A case study

1987 ◽  
Author(s):  
William A. Worrall ◽  
Ann W. Stockman

Endangered Butterflies and their Non-Native Host Plants: Examining Shifting Values of Belonging in Restoration

2019 ◽  
Vol 3 (1) ◽  
pp. 1-9
Author(s):  
Robert M. Anderson ◽  
Amy M. Lambert
Keyword(s):  
Ecological Restoration ◽  
Native Species ◽  
Puget Sound ◽  
A Value ◽  
The Social ◽  
Remote Island ◽  
Scientific Truth ◽  
Native Host

The island marble butterfly (Euchloe ausonides insulanus), thought to be extinct throughout the 20th century until re-discovered on a single remote island in Puget Sound in 1998, has become the focus of a concerted protection effort to prevent its extinction. However, efforts to “restore” island marble habitat conflict with efforts to “restore” the prairie ecosystem where it lives, because of the butterfly’s use of a non-native “weedy” host plant. Through a case study of the island marble project, we examine the practice of ecological restoration as the enactment of particular norms that define which species are understood to belong in the place being restored. We contextualize this case study within ongoing debates over the value of “native” species, indicative of deep-seated uncertainties and anxieties about the role of human intervention to alter or manage landscapes and ecosystems, in the time commonly described as the “Anthropocene.” We interpret the question of “what plants and animals belong in a particular place?” as not a question of scientific truth, but a value-laden construct of environmental management in practice, and we argue for deeper reflexivity on the part of environmental scientists and managers about the social values that inform ecological restoration.

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