scholarly journals Internet of Things (IoT) based counsellor skills 21st century

2021 ◽  
Vol 8 (2) ◽  
pp. 161-168
Author(s):  
Citra Tectona Suryawati ◽  
Agus Tri Susilo ◽  
Ribut Purwaningrum ◽  
Asrowi Asrowi
Keyword(s):  
Internet Of Things ◽  
School Counselors ◽  
21St Century ◽  
Professional Education ◽  
Rapid Development ◽  
Guidance And Counseling ◽  
Counselling Services ◽  
The Internet Of Things

The rapid development of the era requires guidance and counseling teachers to be more creative in providing services. The purpose of this study is to determine the level of 21st century skills based on the Internet of Things (IoT) based on categorization. The sample of this study was 53 people consisting of school counselors in Sukoharjo and students of professional education and counselling teachers at one university. The method used is a one-shot case study. The results showed that the average 21st century counsellor's skills of 54.3% were in the 'medium' category. This can be interpreted that the skills of 21st century counsellor when participating in IoT-based skills development workshops have good criteria. However, it is possible that there is a need to improve skills again so that the quality of guidance and counselling services is getting better and more effective. 

scholarly journals Mobile Networks and Internet of Things Infrastructures to Characterize Smart Human Mobility

Smart Cities ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 894-918
Author(s):  
Luís Rosa ◽  
Fábio Silva ◽  
Cesar Analide
Keyword(s):  
Internet Of Things ◽  
Mobile Networks ◽  
Smart Cities ◽  
Human Mobility ◽  
Rapid Development ◽  
Disruptive Technology ◽  
New Paradigm ◽  
Design And Optimization ◽  
High Level

The evolution of Mobile Networks and Internet of Things (IoT) architectures allows one to rethink the way smart cities infrastructures are designed and managed, and solve a number of problems in terms of human mobility. The territories that adopt the sensoring era can take advantage of this disruptive technology to improve the quality of mobility of their citizens and the rationalization of their resources. However, with this rapid development of smart terminals and infrastructures, as well as the proliferation of diversified applications, even current networks may not be able to completely meet quickly rising human mobility demands. Thus, they are facing many challenges and to cope with these challenges, different standards and projects have been proposed so far. Accordingly, Artificial Intelligence (AI) has been utilized as a new paradigm for the design and optimization of mobile networks with a high level of intelligence. The objective of this work is to identify and discuss the challenges of mobile networks, alongside IoT and AI, to characterize smart human mobility and to discuss some workable solutions to these challenges. Finally, based on this discussion, we propose paths for future smart human mobility researches.

Robust Networking: Dynamic Topology Evolution Learning for Internet of Things

2021 ◽  
Vol 17 (3) ◽  
pp. 1-23
Author(s):  
Ning Chen ◽  
Tie Qiu ◽  
Mahmoud Daneshmand ◽  
Dapeng Oliver Wu
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Evolutionary Process ◽  
Small Error ◽  
Cyber Attacks ◽  
Communication Capacity ◽  
Error Ratio ◽  
The Internet Of Things ◽  
Evolution Learning

The Internet of Things (IoT) has been extensively deployed in smart cities. However, with the expanding scale of networking, the failure of some nodes in the network severely affects the communication capacity of IoT applications. Therefore, researchers pay attention to improving communication capacity caused by network failures for applications that require high quality of services (QoS). Furthermore, the robustness of network topology is an important metric to measure the network communication capacity and the ability to resist the cyber-attacks induced by some failed nodes. While some algorithms have been proposed to enhance the robustness of IoT topologies, they are characterized by large computation overhead, and lacking a lightweight topology optimization model. To address this problem, we first propose a novel robustness optimization using evolution learning (ROEL) with a neural network. ROEL dynamically optimizes the IoT topology and intelligently prospects the robust degree in the process of evolutionary optimization. The experimental results demonstrate that ROEL can represent the evolutionary process of IoT topologies, and the prediction accuracy of network robustness is satisfactory with a small error ratio. Our algorithm has a better tolerance capacity in terms of resistance to random attacks and malicious attacks compared with other algorithms.

scholarly journals A Middleware with Comprehensive Quality of Context Support for the Internet of Things Applications

Sensors ◽  
2017 ◽  
Vol 17 (12) ◽  
pp. 2853 ◽  
Author(s):  
Berto Gomes ◽  
Luiz Muniz ◽  
Francisco da Silva e Silva ◽  
Davi dos Santos ◽  
Rafael Lopes ◽  
...  
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Quality Of Context ◽  
The Internet Of Things

Standards for the Internet of Things: A Case Study in Disaster Response

Computer ◽  
2016 ◽  
Vol 49 (5) ◽  
pp. 87-90 ◽  
Author(s):  
Phillip A. Laplante ◽  
Jeffrey Voas ◽  
Nancy Laplante
Keyword(s):  
Internet Of Things ◽  
Disaster Response ◽  
The Internet ◽  
The Internet Of Things

scholarly journals Modelling Uptake Sensitivities of Connected and Automated Vehicle Technologies

2021 ◽  
Vol 10 (2) ◽  
pp. 88-106
Author(s):  
Gillian Harrison ◽  
Simon P. Shepherd ◽  
Haibo Chen
Keyword(s):  
Internet Of Things ◽  
Dynamic Modelling ◽  
Transport Systems ◽  
The Internet ◽  
Sensitivity Testing ◽  
Automated Vehicle ◽  
Vehicle Technologies ◽  
The Internet Of Things

Connected and automated vehicle (CAV) technologies and services are rapidly developing and have the potential to revolutionise the transport systems. However, like many innovations, the uptake pathways are uncertain. The focus of this article is on improving understanding of factors that may affect the uptake of highly and fully automated vehicles, with a particular interest in the role of the internet of things (IoT). Using system dynamic modelling, sensitivity testing towards vehicle attributes (e.g., comfort, safety, familiarity) is carried out and scenarios were developed to explore how CAV uptake can vary under different conditions based around the quality of IoT provision. Utility and poor IoT are found to have the biggest influence. Attention is then given to CAV ‘services' that are characterized by the attributes explored earlier in the paper, and it is found that they could contribute to a 20% increase in market share.

scholarly journals Edge Computing for the Internet of Things: A Case Study

2018 ◽  
Vol 5 (2) ◽  
pp. 1275-1284 ◽  
Author(s):  
Gopika Premsankar ◽  
Mario Di Francesco ◽  
Tarik Taleb
Keyword(s):  
Internet Of Things ◽  
Edge Computing ◽  
The Internet ◽  
The Internet Of Things

Measuring Ambient Urbanities

2019 ◽  
pp. 252-280
Keyword(s):  
21St Century ◽  
Smart City ◽  
Research Literature ◽  
Urban Life ◽  
Urban Theory ◽  
Study Approach ◽  
Exploratory Case Study ◽  
Quality Of Urban Life

The purpose of this chapter is to explore mechanisms and potentials for measuring ambient urbanities. This work advances the ambient metrics concept as a way of shedding light on the evolving nature of measures, standards, and indices required by more dynamic, adaptive, and aware environments, characteristic of smart and responsive cities. In the form of ambient metrics, measures are sought that support more informed city experiences, increased engagement and participation, and improved quality of urban life. The research literature for smart city metrics, standards, and indices is explored in this chapter enabling identification of issues, controversies, and problems. Using an exploratory case study approach, solutions and recommendations are advanced. This chapter makes a contribution to the research literature for smart city metrics, standards, and indices; the evolving of urban theory for 21st century cities; and urban theory in formulating a conceptual framework for rethinking measures for smarter urbanities.

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