scholarly journals ECG Monitoring Systems: Review, Architecture, Processes, and Key Challenges

Sensors ◽  
2020 ◽  
Vol 20 (6) ◽  
pp. 1796 ◽  
Author(s):  
Mohamed Adel Serhani ◽  
Hadeel T. El Kassabi ◽  
Heba Ismail ◽  
Alramzana Nujum Navaz
Keyword(s):  
Value Chain ◽  
New Technologies ◽  
Relevant Literature ◽  
Research Area ◽  
Monitoring Systems ◽  
Ecg Monitoring ◽  
Current Trends ◽  
Extensive Analysis ◽  
Fully Connected ◽  
Electrocardiogram Ecg

Health monitoring and its related technologies is an attractive research area. The electrocardiogram (ECG) has always been a popular measurement scheme to assess and diagnose cardiovascular diseases (CVDs). The number of ECG monitoring systems in the literature is expanding exponentially. Hence, it is very hard for researchers and healthcare experts to choose, compare, and evaluate systems that serve their needs and fulfill the monitoring requirements. This accentuates the need for a verified reference guiding the design, classification, and analysis of ECG monitoring systems, serving both researchers and professionals in the field. In this paper, we propose a comprehensive, expert-verified taxonomy of ECG monitoring systems and conduct an extensive, systematic review of the literature. This provides evidence-based support for critically understanding ECG monitoring systems’ components, contexts, features, and challenges. Hence, a generic architectural model for ECG monitoring systems is proposed, an extensive analysis of ECG monitoring systems’ value chain is conducted, and a thorough review of the relevant literature, classified against the experts’ taxonomy, is presented, highlighting challenges and current trends. Finally, we identify key challenges and emphasize the importance of smart monitoring systems that leverage new technologies, including deep learning, artificial intelligence (AI), Big Data and Internet of Things (IoT), to provide efficient, cost-aware, and fully connected monitoring systems.

scholarly journals Digitalization and Big Data in Smart Farming – Bibliometric and Systemic Analysis

2020 ◽  
Author(s):  
Jaqueline Iaksch ◽  
Ederson Fernandes ◽  
Milton Borsato
Keyword(s):  
Big Data ◽  
Value Chain ◽  
New Technologies ◽  
Research Area ◽  
Management Control ◽  
Digital Information ◽  
Agricultural Efficiency ◽  
Systemic Analysis ◽  
Smart Farming ◽  
Research Problems

Agriculture has always had a great significance in the civilization development. However, modern agriculture is facing increasing challenges due to population growth and environmental degradation. Commercially, farmers are looking for ways to improve profitability and agricultural efficiency to reduce costs. Smart Farming is enabling the use of detailed digital information to guide decisions along the agricultural value chain. Thus, better decisions and efficient management control are required through generated information and knowledge at any farm. New technologies and solutions have been applied to provide alternatives to assist in information gathering and processing, and thereby contribute to increased agricultural productivity. Therefore, this article aims to gain state-of-art insight and identify proposed solutions, trends and unfilled gaps regarding digitalization and Big Data applications in Smart Farming, through a literature review. The current study accomplished these goals through analyses based on ProKnow-C (Knowledge Development Process – Constructivist) methodology. A total of 2401 articles were found. Then, a quantitative analysis identified the most relevant ones among a total of 39 articles were included in a bibliometric and text mining analysis, which was performed to identify the most relevant journals and authors that stand out in the research area. A systemic analysis was also accomplished from these articles. Finally, research problems, solutions, opportunities, and new trends to be explored were identified.

scholarly journals Technological solutions in Logistics 4.0

2021 ◽  
Vol 69 (6-7) ◽  
pp. 385-401
Author(s):  
Mladen Krstić ◽  
Snežana Tadić ◽  
Slobodan Zečević
Keyword(s):  
Value Chain ◽  
Industry 4.0 ◽  
Product Life Cycle ◽  
Industrial Revolution ◽  
New Technologies ◽  
Technological Development ◽  
Relevant Literature ◽  
Human Action ◽  
New Paradigm ◽  
Logistics Systems

Technological development, automation, digitalization, networking, new forms of communication, etc. initiated a new industrial revolution, also known as Industry 4.0. It represents a new form of organization and control of the value chain in the product life cycle. By connecting and synergizing existing and new solutions and technologies of communication, data collection, exchange and analysis, production, process management, trade, etc. a new paradigm of human action, business and living has been created. A concept that is intensively changing production processes has emerged, but its effects are also visible in other areas of human activity, primarily trade, health, agriculture, logistics, etc. By applying the solutions and technologies of Industry 4.0 in the field of logistics, the concept of Logistics 4.0 was developed with the aim of achieving greater efficiency of logistics systems and processes. New technologies and solutions appear every day, but the backbone of the development of the Logistics 4.0 concept is comprised of several key technologies, such as: Internet of Things (IoT), Autonomous Vehicles (AV) and Automatic Guided Vehicles (AGV), Artificial Intelligence (AI), Virtual Reality (VR) and Augmented Reality (AR), Big data, Data mining, Blockchain, Cloud Computing (CC), 3D printing, etc. The aim of this paper was to define and describe in detail the aforementioned technologies, as well as the possibilities of their application in the logistics systems and processes through a review of the relevant literature in this field. It can be concluded that logistics, as a multidisciplinary science, represents a fertile ground for the acceptance and further development of existing modern technologies, but also the initiator and incubator of new technologies that could easily go beyond logistics and become part of the family of Industry 4.0 solutions.

scholarly journals Happiness as an aim of education

Human Affairs ◽  
2021 ◽  
Vol 31 (2) ◽  
pp. 165-174
Author(s):  
Nikola Kallová
Keyword(s):  
Public School ◽  
Mental State ◽  
Relevant Literature ◽  
Philosophy Of Education ◽  
Public Schooling ◽  
School Practice ◽  
Central Concern ◽  
Current Trends ◽  
Normative Implications

Abstract This paper explores happiness as an aim of education, particularly schooling. What role does happiness play in philosophy of education? How do critics view the aims of public schooling today and its relation to happiness? Is happiness embedded in the concept of education as an aim of education? The paper explores happiness—understood inclusively as a positive mental state—by examining the relevant literature from various disciplines. It looks briefly at critical views of current trends in public school practice and concludes that happiness is not a central concern in present public school practice. Turning to philosophy of education, the author finds that happiness has been considered in relation to the philosophical conception of the human self and consequently eudaimonia has been prioritized over hedonia. The paper concludes by proposing that happiness is an appropriate and valid aim of education and schooling based on the normative implications of the concept of education.

scholarly journals Social distancing in public transport: mobilising new technologies for demand management under the Covid-19 crisis

2021 ◽  
Author(s):  
Daniel Hörcher ◽  
Ramandeep Singh ◽  
Daniel J. Graham
Keyword(s):  
Public Transport ◽  
Perceived Risk ◽  
Urban Areas ◽  
New Technologies ◽  
Demand Management ◽  
Single Point ◽  
Relevant Literature ◽  
Social Distancing ◽  
New Information ◽  
Occupancy Rates

AbstractDense urban areas are especially hardly hit by the Covid-19 crisis due to the limited availability of public transport, one of the most efficient means of mass mobility. In light of the Covid-19 pandemic, public transport operators are experiencing steep declines in demand and fare revenues due to the perceived risk of infection within vehicles and other facilities. The purpose of this paper is to explore the possibilities of implementing social distancing in public transport in line with epidemiological advice. Social distancing requires effective demand management to keep vehicle occupancy rates under a predefined threshold, both spatially and temporally. We review the literature of five demand management methods enabled by new information and ticketing technologies: (i) inflow control with queueing, (ii) time and space dependent pricing, (iii) capacity reservation with advance booking, (iv) slot auctioning, and (v) tradeable travel permit schemes. Thus the paper collects the relevant literature into a single point of reference, and provides interpretation from the viewpoint of practical applicability during and after the pandemic.

scholarly journals Current Trends for State-of-Charge (SoC) Estimation in Lithium-Ion Battery Electric Vehicles

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3284
Author(s):  
Ingvild B. Espedal ◽  
Asanthi Jinasena ◽  
Odne S. Burheim ◽  
Jacob J. Lamb
Keyword(s):  
Electric Vehicles ◽  
Lithium Ion ◽  
Research Area ◽  
State Of Charge ◽  
Stable Operation ◽  
Battery Management ◽  
Soc Estimation ◽  
Current Trends ◽  
Battery Management Systems ◽  
Active Research

Energy storage systems (ESSs) are critically important for the future of electric vehicles. Despite this, the safety and management of ESSs require improvement. Battery management systems (BMSs) are vital components in ESS systems for Lithium-ion batteries (LIBs). One parameter that is included in the BMS is the state-of-charge (SoC) of the battery. SoC has become an active research area in recent years for battery electric vehicle (BEV) LIBs, yet there are some challenges: the LIB configuration is nonlinear, making it hard to model correctly; it is difficult to assess internal environments of a LIB (and this can be different in laboratory conditions compared to real-world conditions); and these discrepancies can lead to raising the instability of the LIB. Therefore, further advancement is required in order to have higher accuracy in SoC estimation in BEV LIBs. SoC estimation is a key BMS feature, and precise modeling and state estimation will improve stable operation. This review discusses current methods use in BEV LIB SoC modelling and estimation. The review culminates in a brief discussion of challenges in BEV LIB SoC prediction analysis.

Big Data in Cultural Tourism – Building Sustainability and Enhancing Competitiveness

2021 ◽  
Keyword(s):  
Big Data ◽  
Case Studies ◽  
Value Chain ◽  
New Technologies ◽  
Cultural Tourism ◽  
End Users ◽  
Ethical Implications ◽  
Tourism Sector ◽  
Cultural Experiences ◽  
Selection Of

The use of big data is becoming increasingly important across the tourism sector and the value chain. With this publication, UNWTO intends to provide a baseline research on using big data by tourism and culture stakeholders, in order to improve the competitiveness of cultural tourism and reinforce its sustainability. The study sets the basis to connect tourism, culture and new technologies for mutual benefits, while calling for a reflection on the ethical implications for policymakers, businesses and end-users. The selection of case studies illustrates the most frequent case-scenarios of the use of big data in cultural tourism within destinations, compiled during the research. As the new technologies are facing ever-evolving scenarios, their use will be harnessed by the tourism sector in its endeavour to innovate and provide new cultural experiences.

scholarly journals 3D AutoSysLab Prototype - A Social, Immersive and Mixed Reality Approach for Collaborative Learning Environments

2012 ◽  
Vol 2 (2) ◽  
pp. 15 ◽  
Author(s):  
Frederico Menine Schaf ◽  
Suenoni Paladini ◽  
Carlos Eduardo Pereira
Keyword(s):  
Virtual Environments ◽  
Virtual Worlds ◽  
New Technologies ◽  
Mixed Reality ◽  
Research Area ◽  
Learning Objects ◽  
Traditional Learning ◽  
Web Technologies ◽  
3D Virtual Worlds ◽  
Great Acceptance

<span style="color: #000000;"><span style="font-family: Times New Roman,serif;"><span style="font-size: x-small;">Recent evolutions of social networks, virtual environments, Web technologies and 3D virtual worlds motivate the adoption of new technologies in education, opening successive innovative possibilities. These technologies (or tools) can be employed in distance education scenarios, or can also enhance traditional learning-teaching (blended or hybrid learning scenario). It is known and a wide advocated issue that laboratory practice is essential to technical education, foremost in engineering. In order to develop a feasible implementation to this research area, a prototype was developed, called 3DAutoSysLab, in which a metaverse is used as social collaborative interface, experiments (real or simulated) are linked to virtual objects, learning objects are displayed as interactive medias, and guiding/feedback are supported via an autonomous tutoring system based on user's interaction data mining. This prototype is under test, but preliminary applied results indicate great acceptance and increase of motivation of students.</span></span></span>

scholarly journals What Causes the Virtual Agglomeration of Creative Industries?

2021 ◽  
Vol 13 (16) ◽  
pp. 9232
Author(s):  
Xu Chen ◽  
Chunhong Liu ◽  
Yao Jiang ◽  
Changchun Gao
Keyword(s):  
Value Chain ◽  
Flexible Manufacturing ◽  
Relevant Literature ◽  
Analytical Framework ◽  
Creative Industries ◽  
Innovative Technology ◽  
Force Model ◽  
Cultural Resources ◽  
Factors Affecting ◽  
Virtual Platform

The agglomeration paradigm for creative industries has fundamentally changed under the digital economy, giving rise to a new form of virtual agglomeration within these industries. This study explores the causes of this virtual agglomeration. We collected online Chinese news texts related to the virtual agglomeration of the creative industry, used text mining to identify nine factors affecting its formation, and refined the internal and external factors for an analytical framework based on the PEST (political, economic, social, technological) and value-chain models. We then combined the relevant literature and the creative industry’s development practices, analyzed the mechanism of each driving factor, and constructed a driving-force model for the creative industry’s virtual agglomeration. The external driving factors were government policy planning, the digital economic environment, emerging consumer demand, and the application of innovative technology; the internal factors were the digitalization of cultural resources, flexible manufacturing, digital marketing and promotion, online interactive services, and virtual platform facilities. Each factor was found to contribute to virtual agglomeration through different internal mechanisms. This study’s findings have theoretical and practical value for cultivating the modes of virtual agglomeration within creative industries.

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