scholarly journals A Survey on Unmanned Surface Vehicles for Disaster Robotics: Main Challenges and Directions

Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 702 ◽  
Author(s):  
Vitor Jorge ◽  
Roger Granada ◽  
Renan Maidana ◽  
Darlan Jurak ◽  
Guilherme Heck ◽  
...  
Keyword(s):  
Disaster Management ◽  
Research Area ◽  
Lessons Learned ◽  
Future Research ◽  
Research Gaps ◽  
Unmanned Surface Vehicles ◽  
Navigation And Control ◽  
Comprehensive Survey ◽  
And Control ◽  
Marine Vessels

Disaster robotics has become a research area in its own right, with several reported cases of successful robot deployment in actual disaster scenarios. Most of these disaster deployments use aerial, ground, or underwater robotic platforms. However, the research involving autonomous boats or Unmanned Surface Vehicles (USVs) for Disaster Management (DM) is currently spread across several publications, with varying degrees of depth, and focusing on more than one unmanned vehicle—usually under the umbrella of Unmanned Marine Vessels (UMV). Therefore, the current importance of USVs for the DM process in its different phases is not clear. This paper presents the first comprehensive survey about the applications and roles of USVs for DM, as far as we know. This work demonstrates that there are few current deployments in disaster scenarios, with most of the research in the area focusing on the technological aspects of USV hardware and software, such as Guidance Navigation and Control, and not focusing on their actual importance for DM. Finally, to guide future research, this paper also summarizes our own contributions, the lessons learned, guidelines, and research gaps.

scholarly journals Progress in Modeling and Control of Gas Turbine Power Generation Systems: A Survey

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2358 ◽  
Author(s):  
Omar Mohamed ◽  
Ashraf Khalil
Keyword(s):  
Power Generation ◽  
Gas Turbine ◽  
Gas Turbines ◽  
Power Plants ◽  
Control Strategies ◽  
Research Area ◽  
Future Research ◽  
Modeling And Control ◽  
Comprehensive Survey ◽  
And Control

This paper reviews the modeling techniques and control strategies applied to gas turbine power generation plants. Recent modeling philosophies are discussed and the state-of-the-art feasible strategies for control are shown. Research conducted in the field of modeling, simulation, and control of gas turbine power plants has led to notable advancements in gas turbines’ operation and energy efficiency. Tracking recent achievements and trends that have been made is essential for further development and future research. A comprehensive survey is presented here that covers the outdated attempts toward the up-to-date techniques with emphasis on different issues and turbines’ characteristics. Critical review of the various published methodologies is very useful in showing the importance of this research area in practical and technical terms. The different modeling approaches are classified and each category is individually investigated by reviewing a considerable number of research articles. Then, the main features of each category or approach is reported. The modern multi-variable control strategies that have been published for gas turbines are also reviewed. Moreover, future trends are proposed as recommendations for planned research.

Access Control Mechanisms in Named Data Networks

2021 ◽  
Vol 54 (3) ◽  
pp. 1-35
Author(s):  
Boubakr Nour ◽  
Hakima Khelifi ◽  
Rasheed Hussain ◽  
Spyridon Mastorakis ◽  
Hassine Moungla
Keyword(s):  
Access Control ◽  
Holistic Approach ◽  
Future Internet ◽  
Lessons Learned ◽  
Future Research ◽  
Communication Model ◽  
Control Mechanisms ◽  
Internet Communication ◽  
Future Internet Architecture ◽  
Comprehensive Survey

Information-Centric Networking (ICN) has recently emerged as a prominent candidate for the Future Internet Architecture (FIA) that addresses existing issues with the host-centric communication model of the current TCP/IP-based Internet. Named Data Networking (NDN) is one of the most recent and active ICN architectures that provides a clean-slate approach for Internet communication. NDN provides intrinsic content security where security is directly provided to the content instead of communication channel. Among other security aspects, Access Control (AC) rules specify the privileges for the entities that can access the content. In TCP/IP-based AC systems, due to the client-server communication model, the servers control which client can access a particular content. In contrast, ICN-based networks use content names to drive communication and decouple the content from its original location. This phenomenon leads to the loss of control over the content, causing different challenges for the realization of efficient AC mechanisms. To date, considerable efforts have been made to develop various AC mechanisms in NDN. In this article, we provide a detailed and comprehensive survey of the AC mechanisms in NDN. We follow a holistic approach towards AC in NDN where we first summarize the ICN paradigm, describe the changes from channel-based security to content-based security, and highlight different cryptographic algorithms and security protocols in NDN. We then classify the existing AC mechanisms into two main categories: Encryption-based AC and Encryption-independent AC . Each category has different classes based on the working principle of AC (e.g., Attribute-based AC, Name-based AC, Identity-based AC). Finally, we present the lessons learned from the existing AC mechanisms and identify the challenges of NDN-based AC at large, highlighting future research directions for the community.

Physiological Systems Modeling, Simulation, and Control

2013 ◽  
pp. 745-787 ◽  
Author(s):  
Konstantina S. Nikita ◽  
Konstantinos P. Michmizos
Keyword(s):  
Research Area ◽  
The Body ◽  
Future Research ◽  
Systems Modeling ◽  
Science And Engineering ◽  
Modeling Simulation ◽  
Tree Of Knowledge ◽  
Simulation And Control ◽  
And Control ◽  
Physiological Systems

Physiological systems modeling, simulation, and control is a research area integrating science and engineering and contributes to a continuous refinement of knowledge on how the body works. The roots of modeling a body area date back thousands of years, yet it was not until the 1950s that the tree of knowledge started to be fed with data-driven hypotheses and interventions. This chapter tries to organize disparate information of the most important modeling, simulation, and control perspectives into a coherent set of views currently applied to modern biological and medical research. It is addressed to researchers on human system physiological modeling, working both in academia and in industry to address current and future research goals.

scholarly journals A Survey on Real-Time Communications in Wireless Sensor Networks

2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Beom-Su Kim ◽  
HoSung Park ◽  
Kyong Hoon Kim ◽  
Daniel Godfrey ◽  
Ki-Il Kim
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Real Time ◽  
Single Layer ◽  
Research Area ◽  
Wireless Sensor ◽  
Future Research ◽  
Important Research ◽  
Time Model ◽  
Comprehensive Survey

Generally, various traffic requirements in wireless sensor network are mostly dependent on specific application types, that is, event-driven, continuous, and query-driven types. In these applications, real-time delivery is one of the important research challenges. However, due to harsh networking environment around a node, many researchers usually take different approach from conventional networks. In order to discuss and analyze the advantage or disadvantage of these approaches, some comprehensive survey literatures were published; however they are either out of date or compiled for communication protocols on single layer. Based on this deficiency, in this paper, we present the up-to-date research approaches and discuss the important features related to real-time communications in wireless sensor networks. As for grouping, we categorize the approaches into hard, soft, and firm real-time model. Furthermore, in all these categories, research has been focused on MAC and scheduling and routing according to research area or objective in second level. Finally, the article also suggests potential directions for future research in the field.

Vision-based guidance, navigation, and control of Hayabusa spacecraft - Lessons learned from real operation -

2010 ◽  
Vol 43 (15) ◽  
pp. 259-264 ◽  
Author(s):  
Tatsuaki Hashimoto ◽  
Takashi Kubota ◽  
Jun'ichiro Kawaguchi ◽  
Masashi Uo ◽  
Kenichi Shirakawa ◽  
...  
Keyword(s):  
Lessons Learned ◽  
Navigation And Control ◽  
And Control

Biomedical Manufacturing: A Review of the Emerging Research and Applications

2020 ◽  
Vol 142 (11) ◽  
Author(s):  
Roland Chen ◽  
Robert C. Chang ◽  
Bruce Tai ◽  
Yong Huang ◽  
Burak Ozdoganlar ◽  
...  
Keyword(s):  
Healthcare Services ◽  
Research Area ◽  
Future Research ◽  
Manufacturing Processes ◽  
Quality Cost ◽  
Multi Scale ◽  
Research Activities ◽  
Current State ◽  
Integral Role ◽  
Comprehensive Survey

Abstract Biomedical manufacturing, which has seen rapid growth over the past decade, is an emerging research area for the manufacturing community. This growth trajectory is exemplified and coupled with a broadening scope of applications with biomedical manufacturing technology, including advancements in the safety, quality, cost, efficiency, and speed of healthcare service and research. The goal of this topical review is to offer a comprehensive survey of the current state-of-the-art in biomedical manufacturing and to summarize existing opportunities and challenges as a basis to guide future research activities in this emerging area. This article categorizes the key manufacturing process types that are currently being leveraged for the biomedical field of use, including machining, joining, additive manufacturing, and micro-/multi-scale manufacturing. For each of these manufacturing processes, notable applications are cited and discussed to provide insights and perspectives into how manufacturing processes can play an integral role in creating new and more sophisticated healthcare services and products.

scholarly journals Network Brokerage: An Integrative Review and Future Research Agenda

2020 ◽  
Vol 46 (6) ◽  
pp. 1092-1120 ◽  
Author(s):  
Seok-Woo Kwon ◽  
Emanuela Rondi ◽  
Daniel Z. Levin ◽  
Alfredo De Massis ◽  
Daniel J. Brass
Keyword(s):  
Research Agenda ◽  
Research Area ◽  
Future Research ◽  
Important Research ◽  
Research Gaps ◽  
Comprehensive Review ◽  
Research Areas ◽  
Future Research Agenda ◽  
And Behavior ◽  
Over Time

Network brokerage research has grown rapidly in recent decades, spanning the boundaries of multiple social science disciplines as well as diverse research areas within management. Accordingly, we take stock of the literature on network brokerage and provide guidance on ways to move this burgeoning research area forward. We provide a comprehensive review of this literature, including crucial dimensions of the concept itself in terms of brokerage structure and behavior, a set of key categories of factors surrounding the brokerage concept (antecedents, outcomes, and moderators), and an overview of brokerage dynamics over time. We use these dimensions and categories to depict network brokerage’s theoretical and empirical underpinnings as well as evaluate prior research efforts. In so doing, we offer a means to summarize and synthesize this large, interdisciplinary literature, identify important research gaps, and offer promising directions for future research.

The Intersection of Family Firms and Institutional Contexts: A Review and Agenda for Future Research

2017 ◽  
Vol 31 (1) ◽  
pp. 32-53 ◽  
Author(s):  
Sohrab Soleimanof ◽  
Matthew W. Rutherford ◽  
Justin W. Webb
Keyword(s):  
Family Business ◽  
Family Firms ◽  
Informal Institutions ◽  
Research Area ◽  
Future Research ◽  
Major Research ◽  
Research Gaps ◽  
Formal And Informal Institutions ◽  
Institutional Contexts ◽  
Research Stream

Examination of family firms’ interactions with institutional contexts has been a major research stream within family business scholarship. This study reviews three decades of research at the intersection of family firms and institutional contexts. Our review sample includes 124 articles published in 24 top-level journals across several disciplines. We adopt an institutional theory lens to synthesize this literature and explicate main understandings about how family firm behaviors/outcomes are influenced by or may influence formal and informal institutions in their institutional contexts. Moreover, we discuss major research gaps and unproductive biases in this research area and provide directions for future research.

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