scholarly journals Data Collection in Smart Communities Using Sensor Cloud: Recent Advances, Taxonomy, and Future Research Directions

2018 ◽  
Vol 56 (7) ◽  
pp. 192-197 ◽  
Author(s):  
Ihsan Ali ◽  
Abdullah Gani ◽  
Ismail Ahmedy ◽  
Ibrar Yaqoob ◽  
Suleman Khan ◽  
...  
Keyword(s):  
Data Collection ◽  
Future Research ◽  
Research Directions ◽  
Recent Advances ◽  
Future Research Directions ◽  
Sensor Cloud ◽  
Smart Communities

Landscape Models of Complex Change

2021 ◽  
pp. 554-580
Author(s):  
Daniel Albert ◽  
Martin Ganco
Keyword(s):  
Organizational Change ◽  
Future Research ◽  
Research Directions ◽  
Traditional Form ◽  
Nk Model ◽  
Complex Change ◽  
Landscape Models ◽  
Recent Advances ◽  
Complex Landscape ◽  
Future Research Directions

This chapter reviews recent advances in the NK modeling literature conceptualizing organizational change and innovation as a search over a complex landscape. It discusses both strengths and limitations of this perspective and delineates potential for future research directions. The key argument is that the NK model in its traditional form may be exhausting the theoretical insights that it can provide to the field. However, substantial modifications and extensions of the NK model or new classes of landscape models may provide fresh perspectives. Specifically, we consider the modeling efforts that endogenize the landscape construction as the next frontier in this literature. We also discuss several recent studies that incorporate various extensions of the NK model and allow for agent-driven changes to the landscape.

scholarly journals CubeSat Communications: Recent Advances and Future Challenges

2020 ◽  
Author(s):  
Nasir Saeed ◽  
Ahmed Elzanaty ◽  
Heba Almorad ◽  
Hayssam Dahrouj ◽  
Tareq Y. Al-Naffouri ◽  
...  
Keyword(s):  
Channel Modeling ◽  
Future Research ◽  
New Paradigm ◽  
Earth Remote Sensing ◽  
Research Directions ◽  
Space Industry ◽  
Recent Advances ◽  
Wide Range ◽  
Future Challenges ◽  
Future Research Directions

<pre><pre>Given the increasing number of space-related applications, research in the emerging space industry is becoming more and more attractive. One compelling area of current space research is the design of miniaturized satellites, known as CubeSats, which are enticing because of their numerous applications and low design-and-deployment cost. </pre><pre>The new paradigm of connected space through CubeSats makes possible a wide range of applications, such as Earth remote sensing, space exploration, and rural connectivity.</pre><pre>CubeSats further provide a complementary connectivity solution to the pervasive Internet of Things (IoT) networks, leading to a globally connected cyber-physical system.</pre><pre>This paper presents a holistic overview of various aspects of CubeSat missions and provides a thorough review of the topic from both academic and industrial perspectives.</pre><pre>We further present recent advances in the area of CubeSat communications, with an emphasis on constellation-and-coverage issues, channel modeling, modulation and coding, and networking.</pre><pre>Finally, we identify several future research directions for CubeSat communications, including Internet of space things, low-power long-range networks, and machine learning for CubeSat resource allocation.</pre></pre>

scholarly journals Artificial Intelligence Techniques for Cognitive Sensing in Future IoT: State-of-the-Art, Potentials, and Challenges

2020 ◽  
Vol 9 (2) ◽  
pp. 21 ◽  
Author(s):  
Martins O. Osifeko ◽  
Gerhard P. Hancke ◽  
Adnan M. Abu-Mahfouz
Keyword(s):  
Artificial Intelligence ◽  
Data Collection ◽  
Energy Efficient ◽  
State Of The Art ◽  
Future Internet ◽  
Future Research ◽  
Research Directions ◽  
Efficient Data ◽  
Future Research Directions ◽  
Efficient Data Collection

Smart, secure and energy-efficient data collection (DC) processes are key to the realization of the full potentials of future Internet of Things (FIoT)-based systems. Currently, challenges in this domain have motivated research efforts towards providing cognitive solutions for IoT usage. One such solution, termed cognitive sensing (CS) describes the use of smart sensors to intelligently perceive inputs from the environment. Further, CS has been proposed for use in FIoT in order to facilitate smart, secure and energy-efficient data collection processes. In this article, we provide a survey of different Artificial Intelligence (AI)-based techniques used over the last decade to provide cognitive sensing solutions for different FIoT applications. We present some state-of-the-art approaches, potentials, and challenges of AI techniques for the identified solutions. This survey contributes to a better understanding of AI techniques deployed for cognitive sensing in FIoT as well as future research directions in this regard.

Recent advances in supramolecular block copolymers for biomedical applications

2020 ◽  
Vol 8 (36) ◽  
pp. 8219-8231
Author(s):  
Wumaier Yasen ◽  
Ruijiao Dong ◽  
Aliya Aini ◽  
Xinyuan Zhu
Keyword(s):  
Block Copolymers ◽  
Biomedical Applications ◽  
Future Research ◽  
Biological Applications ◽  
Research Directions ◽  
Recent Advances ◽  
Future Research Directions ◽  
Reversible Nature

Supramolecular block copolymers with a dynamically reversible nature and hierarchical microphase-separated structures can greatly enrich the library of pharmaceutical carriers and outline future research directions for biological applications.

Issues and Challenges in Securing eHealth Systems

2014 ◽  
Vol 5 (1) ◽  
pp. 1-19 ◽  
Author(s):  
Yan Bai ◽  
Lirong Dai ◽  
Juan Li
Keyword(s):  
Data Collection ◽  
Recent Literature ◽  
Health Data ◽  
Future Research ◽  
Research Directions ◽  
Future Research Directions ◽  
Ehealth Services

With the widespread eHealth usage, security of eHealth services is becoming increasingly important. In this paper, we analyze the security problems in eHealth systems, discuss various approaches of securing health data collection and sharing proposed in the recent literature on eHealth security, and provide comparative evaluations that include advantages and limitations of each approach. Possible future research directions on each approach for enhancing security for eHealth applications are also suggested.

scholarly journals Recent advances in biochar application for water and wastewater treatment: a review

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e9164
Author(s):  
Xiaoqing Wang ◽  
Zizhang Guo ◽  
Zhen Hu ◽  
Jian Zhang
Keyword(s):  
Wastewater Treatment ◽  
Future Research ◽  
Water And Wastewater Treatment ◽  
Research Directions ◽  
The Past ◽  
Recent Advances ◽  
Future Research Directions ◽  
Water And Wastewater ◽  
Contaminants Removal ◽  
Sorption Mechanisms

In the past decade, researchers have carried out a massive amount of research on the application of biochar for contaminants removal from aqueous solutions. As an emerging sorbent with great potential, biochar has shown significant advantages such as the broad sources of feedstocks, easy preparation process, and favorable surface and structural properties. This review provides an overview of recent advances in biochar application in water and wastewater treatment, including a brief discussion of the involved sorption mechanisms of contaminants removal, as well as the biochar modification methods. Furthermore, environmental concerns of biochar that need to be paid attention to and future research directions are put forward to promote the further application of biochar in practical water and wastewater treatment.

Heterostructured semiconductor nanowire arrays for artificial photosynthesis

2016 ◽  
Vol 3 (4) ◽  
pp. 270-282 ◽  
Author(s):  
Siqi Liu ◽  
Chuang Han ◽  
Zi-Rong Tang ◽  
Yi-Jun Xu
Keyword(s):  
Artificial Photosynthesis ◽  
Research Area ◽  
Nanowire Arrays ◽  
Current Status ◽  
Future Research ◽  
Research Directions ◽  
Semiconductor Nanowire ◽  
Recent Advances ◽  
Future Research Directions ◽  
Insight Into

A critical summary and insight into recent advances in artificial photosynthesis over heterostructured semiconductor nanowire arrays have been presented, which concisely describe the current status and possible future research directions in this promising research area.

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