Flying Adhoc Networks Concept and Challenges

2019 ◽  
pp. 903-911 ◽  
Author(s):  
Kuldeep Singh ◽  
Anil Kumar Verma
Keyword(s):  
Family Member ◽  
Significant Role ◽  
Research Community ◽  
Future Research ◽  
Research Directions ◽  
Mobile Adhoc Networks ◽  
New Family ◽  
War Zone ◽  
Future Research Directions ◽  
Adhoc Networks

Flying adhoc networks (FANETs) are getting popular among the research community due to their wide area of applications in civilians and tactical areas. FANETs are the new family member of the mobile adhoc networks (MANETs) class. Situations such as flooding, war zone, and rescue operations where traditional MANETs cannot be deploy because they used ground moving nodes. FANETs can play significant role in those situations because they employ a swarm of UAVs to form adhoc network. In this chapter, FANET concept along with its applications and challenges is discussed. Future research directions in the area of FANETs are discussed.

Flying Adhoc Networks Concept and Challenges

2018 ◽  
pp. 6106-6113 ◽  
Author(s):  
Kuldeep Singh ◽  
Anil Kumar Verma
Keyword(s):  
Family Member ◽  
Research Community ◽  
Future Research ◽  
Research Directions ◽  
Mobile Adhoc Networks ◽  
New Family ◽  
War Zone ◽  
Future Research Directions ◽  
Adhoc Networks ◽  
Day By Day

Flying adhoc networks (FANETs) are getting popular day by day among research community due to their wide area of applications in civilians and tactical areas. FANETs are the new family member of the mobile adhoc networks (MANETs) class. Situations such as flooding, war zone and rescue operations where traditional MANETs cannot be deploy because they used ground moving nodes. FANETs can play significant role in those situations because they employ a swarm of UAVs to form adhoc network. In this chapter, FANET concept along with its applications and challenges is discussed. Towards end, future research directions in the area of FANETs are discussed.

Maturing and Aging Together

2014 ◽  
Author(s):  
Miri Scharf
Keyword(s):  
Significant Role ◽  
Developmental Trajectories ◽  
Demographic Variables ◽  
Future Research ◽  
Research Directions ◽  
The Past ◽  
Theoretical Perspectives ◽  
Frequency Of Contact ◽  
Future Research Directions

Relatively little research has examined the grandparent–adult grandchild relationship, although these relationships might play a more significant role than in the past, possibly impacting grandchildren’s development and the adjustment of both parties. This chapter reviews different theoretical perspectives related to this bond and presents the special flavor of this bond during emerging adulthood resulting from the different developmental trajectories of grandparents and grandchildren that mutually influence one another. Empirical findings demonstrating large variation both within and between families regarding frequency of contact and quality of the relations are presented, as well as various contextual and demographic variables that might mediate and moderate these variations. Finally, the importance of studying this bond, future research directions, and possible implications are discussed.

scholarly journals Graph Neural Networks: Taxonomy, Advances, and Trends

2022 ◽  
Vol 13 (1) ◽  
pp. 1-54
Author(s):  
Yu Zhou ◽  
Haixia Zheng ◽  
Xin Huang ◽  
Shufeng Hao ◽  
Dengao Li ◽  
...  
Keyword(s):  
Neural Networks ◽  
Real World ◽  
Research Community ◽  
Future Research ◽  
Research Directions ◽  
Comprehensive Review ◽  
Future Research Directions ◽  
Graph Neural Networks ◽  
Low Dimensional

Graph neural networks provide a powerful toolkit for embedding real-world graphs into low-dimensional spaces according to specific tasks. Up to now, there have been several surveys on this topic. However, they usually lay emphasis on different angles so that the readers cannot see a panorama of the graph neural networks. This survey aims to overcome this limitation and provide a systematic and comprehensive review on the graph neural networks. First of all, we provide a novel taxonomy for the graph neural networks, and then refer to up to 327 relevant literatures to show the panorama of the graph neural networks. All of them are classified into the corresponding categories. In order to drive the graph neural networks into a new stage, we summarize four future research directions so as to overcome the challenges faced. It is expected that more and more scholars can understand and exploit the graph neural networks and use them in their research community.

scholarly journals Automated Machine Learning on Graphs: A Survey

2021 ◽  
Author(s):  
Ziwei Zhang ◽  
Xin Wang ◽  
Wenwu Zhu
Keyword(s):  
Machine Learning ◽  
Learning Algorithm ◽  
Research Community ◽  
Future Research ◽  
Research Directions ◽  
Vast Number ◽  
Neural Architecture ◽  
Future Research Directions ◽  
Automated Machine Learning ◽  
Optimal Machine

Machine learning on graphs has been extensively studied in both academic and industry. However, as the literature on graph learning booms with a vast number of emerging methods and techniques, it becomes increasingly difficult to manually design the optimal machine learning algorithm for different graph-related tasks. To solve this critical challenge, automated machine learning (AutoML) on graphs which combines the strength of graph machine learning and AutoML together, is gaining attention from the research community. Therefore, we comprehensively survey AutoML on graphs in this paper, primarily focusing on hyper-parameter optimization (HPO) and neural architecture search (NAS) for graph machine learning. We further overview libraries related to automated graph machine learning and in-depth discuss AutoGL, the first dedicated open-source library for AutoML on graphs. In the end, we share our insights on future research directions for automated graph machine learning. This paper is the first systematic and comprehensive review of automated machine learning on graphs to the best of our knowledge.

Ethical, Cultural and Socio- Economic Factors of Software Piracy Determinants in a Developing Country

2009 ◽  
pp. 354-372
Author(s):  
Arsalan Butt
Keyword(s):  
University Students ◽  
Cultural Values ◽  
Software Industry ◽  
Empirical Studies ◽  
Software Piracy ◽  
Research Community ◽  
Future Research ◽  
Research Directions ◽  
The World ◽  
Future Research Directions

Consumer software piracy is widespread in many parts of the world. P2P based websites have made it easier to access pirated software, which has resulted in an increased emphasis on the issue of software piracy in both the software industry and research community. Some factors that determine piracy include poverty, cultural values, ethical attitudes, and education. Earlier empirical studies have looked at software piracy as an intentional behaviour. This study explores the demographic, ethical and socioeconomical factors that can represent software piracy as a social norm among a developing country’s university students. The authors have conducted a comparative analysis of university students from Pakistan and Canada, two countries that differ economically, socially, and culturally. The results of the study indicate that software piracy behaviour is different in both groups of students, but that there are also some similarities. Future research directions and implications are also presented.

Ethical, Cultural and Socio-Economic Factors of Software Piracy Determinants in a Developing Country

2009 ◽  
pp. 2812-2830
Author(s):  
Arsalan Butt ◽  
Adeel I. Butt
Keyword(s):  
University Students ◽  
Cultural Values ◽  
Software Industry ◽  
Empirical Studies ◽  
Software Piracy ◽  
Research Community ◽  
Future Research ◽  
Research Directions ◽  
The World ◽  
Future Research Directions

Consumer software piracy is widespread in many parts of the world. P2P based websites have made it easier to access pirated software, which has resulted in an increased emphasis on the issue of software piracy in both the software industry and research community. Some factors that determine piracy include poverty, cultural values, ethical attitudes, and education. Earlier empirical studies have looked at software piracy as an intentional behaviour. This study explores the demographic, ethical and socio-economical factors that can represent software piracy as a social norm among a developing country’s university students. The authors have conducted a comparative analysis of university students from Pakistan and Canada, two countries that differ economically, socially, and culturally. The results of the study indicate that software piracy behaviour is different in both groups of students, but that there are also some similarities. Future research directions and implications are also presented.

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