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Guest editorial - autonomous ocean-sampling networks

T.B. Curtin, J.G. Bellingham
2001 IEEE Journal of Oceanic Engineering  
reconfiguration from 1 to 3 m in length depending on the mission.  ...  T HE autonomous ocean-sampling network (AOSN) paradigm provides a nested ocean observation capability through the coordinated control of many, mobile, networked, sensor platforms (Curtin et al., 1993).  ...  Network-class propeller-driven and buoyancy-driven vehicles, such as those described in this issue, have been proven in numerous field experiments reported here and elsewhere.  ... 
doi:10.1109/joe.2001.972072 fatcat:3i44vti36bhr3nktsquzuwomxu

Analog Signal Processing Using Stochastic Magnets [article]

Samiran Ganguly, Kerem Y. Camsari, Avik W. Ghosh
2018 arXiv   pre-print
, bio- and photo-sensors, and Unmanned Autonomous Vehicles.  ...  particularly suited for temporal inferencing and pattern recognition.  ...  Development of hardware that can implement these tasks in-situ can revolutionize the rapidly emerging era of smart-sensors, self-driving automotives, Unmanned Autonomous Vehicles (UAVs), and the Internet  ... 
arXiv:1812.08273v1 fatcat:vgzkgfmotrfjhiaajvpqjo4dui

Artificial Intelligence-Defined 5G Radio Access Networks [article]

Miao Yao, Munawwar Sohul, Vuk Marojevic, Jeffrey H. Reed
2018 arXiv   pre-print
We present example AI-enabled 5G use cases that accommodate important 5G-specific capabilities and discuss the value of AI for enabling beyond 5G network evolution.  ...  This article discusses the intelligent agent in 5G base station which combines sensing, learning, understanding and optimizing to facilitate these enablers.  ...  Walton for his inspirational advice on this article.  ... 
arXiv:1811.08792v2 fatcat:wyhinubtjbbhta4gj4mcwuhgme

A Constraint-based Mission Planning Approach for Reconfigurable Multi-Robot Systems

Thomas M Roehr
2018 Inteligencia Artificial  
To allow for autonomous operation of such systems, planning approaches have to be investigated that cannot only cope with the combinatorial challenge arising from the increased flexibility of modular systems  ...  This paper suggests a constraint-based mission planning approach, and presents a set of revised definitions for reconfigurable multi-robot systems including the representation of the planning problem using  ...  a special instance of a reconfigurable multi-agent system containing agents or in this case vehicles of different categories: autonomous and non-autonomous, as well as support and task vehicles.  ... 
doi:10.4114/intartif.vol21iss62pp25-39 fatcat:bnhwrph73ba6fbp4nub6us73gm

Final Program

2021 2021 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS)  
Quantum computing promises exponential speedups for an important class of problems.  ...  Abstract: The extraordinary market demand for large-scale machine learning  ...  Esperanto Technologies CEO Art Swift will describe the architectural approach and design methodology for the company's first supercomputer-on-chip solution for ML inferencing acceleration.  ... 
doi:10.1109/coolchips52128.2021.9410348 fatcat:rtgywenc4bd2lbixraustje6xa

Grand Challenges in Resilience: Autonomous System Resilience through Design and Runtime Measures [article]

Saurabh Bagchi, Vaneet Aggarwal, Somali Chaterji, Fred Douglis, Aly El Gamal, Jiawei Han, Brian J. Henz, Hank Hoffmann, Suman Jana, Milind Kulkarni, Felix Xiaozhu Lin, Karen Marais (+4 others)
2020 arXiv   pre-print
We focus on some autonomous systems in the near horizon (autonomous ground and aerial vehicles) and also a little more distant (autonomous rescue and relief).  ...  In contrast, for resilience-by-reaction, we discuss how to make systems resilient by responding, reconfiguring, or recovering at runtime when failures happen.  ...  We focus on some autonomous systems in the near horizon (autonomous ground and aerial vehicles) and also a little more distant (autonomous rescue and relief).  ... 
arXiv:1912.11598v3 fatcat:d4lf2vs4yjbbrnrg7hk65qtbbm

Vision Paper: Grand Challenges in Resilience: Autonomous System Resilience through Design and Runtime Measures

Saurabh Bagchi, Vaneet Aggarwal, Somali Chaterji, Fred Douglis, Aly El Gamal, Jiawei Han, Brian Henz, Henry Hoffmann, Suman Jana, Milind Kulkarni, Felix Xiaozhu Lin, Karen Marais (+3 others)
2020 IEEE Open Journal of the Computer Society  
We focus on some autonomous systems in the near horizon (autonomous ground and aerial vehicles) and also a little more distant (autonomous rescue and relief).  ...  In contrast, for resilience-byreaction, we discuss how to make systems resilient by responding, reconfiguring, or recovering at runtime when failures happen.  ...  Another thread of research has considered the question of designing physically-realizable adversarial examples for autonomous vehicles, whose effects persist in presence of realworld environmental constraints  ... 
doi:10.1109/ojcs.2020.3006807 fatcat:sngt6fii3rhi7hiovtbjj5ptuy

Utilization of FPGA for Onboard Inference of Landmark Localization in CNN-Based Spacecraft Pose Estimation

Kiruki Cosmas, Asami Kenichi
2020 Aerospace (Basel)  
This paper investigates the use of a hybrid Field Programmable Gate Array (FPGA) and Systems-on-Chip (SoC) device for efficient onboard inferencing of the Convolutional Neural Network (CNN) part of such  ...  In the recent past, research on the utilization of deep learning algorithms for space applications has been widespread.  ...  One of the key steps in adopting models for FPGA inferencing is reducing the network size i.e., model compression.  ... 
doi:10.3390/aerospace7110159 fatcat:5fklk4o2tfgzdg5vnh4abz7twe

[Front matter]

2021 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD)  
For facilitating this plan, and thanles to the rapidly deployed vaccines and strict hygienic measures, ICCAD will be extended to offer a unique opportunity for an In-Person Networleing Event in Munich,  ...  Since the global COVID-19 pandemic is still prevailing worldwide, the ICCAD 2021 Executive Committee decided to proceed with a virtualized solution for the conference in the second year from 1-4 November  ...  4C.3 Machine Learning-Based Test Pattern Generation for Neuromorphic Chips Hsiao-Vin Tseng,  ... 
doi:10.1109/iccad51958.2021.9643527 fatcat:exsvb7o7rndtjbz3d7oziw273i

A Consolidated Review of Path Planning and Optimization Techniques: Technical Perspectives and Future Directions

Faiza Gul, Imran Mir, Laith Abualigah, Putra Sumari, Agostino Forestiero
2021 Electronics  
The paper provides a consolidated platform, where plenty of available research on-ground autonomous vehicle and their trajectory optimization with the extension for aerial and underwater vehicles are documented  ...  This kind of extensive research is not often seen in the literature, so an effort has been made for readers interested in path planning to fill the gap.  ...  Such vehicles require autonomous path planning algorithms to be energy/time efficient for their implementation.  ... 
doi:10.3390/electronics10182250 fatcat:xxbfslyes5ctpfktnprezb6p6m

Five Challenges in Cloud-enabled Intelligence and Control

Tarek Abdelzaher, Yifan Hao, Kasthuri Jayarajah, Archan Misra, Per Skarin, Shuochao Yao, Dulanga Weerakoon, Karl-Erik Årzén
2020 ACM Transactions on Internet Technology  
Echo and Google Home), as well as language translation for mobile phones (e.g., SIRI and Google Assistant), done mostly in the cloud.  ...  A business, such as a management service for a shopping mall, for example, might host its own edge servers to satisfy the information processing and actuation needs of its local IoT devices.  ...  vehicles, and finally control the trajectory of the autonomous car.  ... 
doi:10.1145/3366021 fatcat:ho3odcfhdzhhhgk4mimynjq4b4

2020 Index IEEE Internet of Things Journal Vol. 7

2020 IEEE Internet of Things Journal  
., Rateless-Code-Based Secure Cooperative Transmission Scheme for Industrial IoT; JIoT July 2020 6550-6565 Jamalipour, A., see Murali, S., JIoT Jan. 2020 379-388 James, L.A., see Wanasinghe, T.R.,  ...  ., +, JIoT Oct. 2020 9784-9792 On Dynamic Service Function Chain Reconfiguration in IoT Networks.  ...  ., +, JIoT Feb. 2020 1548-1560 Collective Awareness for Abnormality Detection in Connected Autonomous Vehicles.  ... 
doi:10.1109/jiot.2020.3046055 fatcat:wpyblbhkrbcyxpnajhiz5pj74a

Embedded Intelligence on FPGA: Survey, Applications and Challenges

Kah Phooi Seng, Paik Jen Lee, Li Minn Ang
2021 Electronics  
There are several challenges to be addressed to realize efficient EI implementations in hardware such as the need for: (1) high computational processing; (2) low power consumption (or high energy efficiency  ...  There are four main classification and thematic descriptors which are reviewed and discussed in this paper for EI: (1) EI techniques including machine learning and neural networks, deep learning, expert  ...  to be able to guarantee the safety systems on autonomous vehicles.  ... 
doi:10.3390/electronics10080895 fatcat:igqk3n2kp5f4bmt6ho2qa3baau

Requirements of the Smart Factory System: A Survey and Perspective

Mohammed Mabkhot, Abdulrahman Al-Ahmari, Bashir Salah, Hisham Alkhalefah
2018 Machines  
An increasing amount of research in both academia and industry is dedicated to transitioning the concept of the smart factory from theory to practice.  ...  The smart factory introduces changes to the factors and elements of traditional manufacturing systems and incorporates the current requirements of smart systems so that it can compete in the future.  ...  Acknowledgments: The authors would like to thank © 2016 IFAC and Gorecky et al. 2016 [45] for the permission granted to reproduce Figure 2 .  ... 
doi:10.3390/machines6020023 fatcat:q2rhpnqmdzcp3lq3oa43y24224

Potential of Cognitive Computing and Cognitive Systems

Ahmed K. Noor
2014 Open Engineering  
AbstractCognitive computing and cognitive technologies are game changers for future engineering systems, as well as for engineering practice and training.  ...  It will stimulate creativity and innovation, and prepare the participants to work in future cognitive enterprises and develop new cognitive products of increasing complexity.http://www.aee.odu.edu/cognitivecomp  ...  The tool, which is slated for use in California starting in 2015, can be fitted for nearly any vehicle.  ... 
doi:10.1515/eng-2015-0008 fatcat:oj36zmkwabhftn6iawbvzseqje
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