Attendees experience the most in-depth learning opportunity at OCEANS by participating in one or more interactive tutorials, workshops, and technical demonstrations on Monday, April 6.
Optional CEU Credits are available if you are registered to attend a Tutorial (not valid for Workshops or Technical Demonstrations). You can make these selections by modifying your current registration or registering to attend OCEANS 2020 Singapore if you have not already.
Presenters: Mr. Oleksiy Kebkal and Ms. Veronika Kebkal, EvoLogics GmbH, Germany
Participants must bring their own laptop for the hands-on sessions, with Linux OS installed.
The devices and the methods, which are going to be demonstrated in the tutorial, can be directly applied in the practice of many universities, laboratories, R&D companies, R&D departments of industrial companies for prototyping of their own underwater acoustic communication schemes, modulation and demodulation approaches, signal processing techniques.
Important peculiarity of the demonstrated equipment is the opportunity for the user to focus on the development of the own communication methods and protocols. Many other (development-intensive) things, e.g. real-time search for matching signals in the acoustic environment, are already solved by the equipment manufacturer. Particularly, the detection and synchronization of the receivers with incoming signals are the problems which are automatically solved by the software-defined modem (what is only needed is to enter the specified commando where the user-defined waveform is saved). Immediately after the detection of the matched signals in the acoustic environment, the software-defined modem outputs the waveforms to the custom user processes.
The Software-Defined USBL unit (as extension hardware of the software-defined modem) provides 5-channel output from the elements of the USBL grid for
positioning purposes using the user-defined procession algorithm.
- Introduction in Power Point.
- Demonstration of the equipment abilities using prepared utilities (equipment will be physically available in the room; equipment is real and will be used in different operation modes).
- Examples of using different commands for configuring and operating the Software Defined Modems and the Software Defined USBLs.
- Hands-on exercises. Main steps for scripting and programming the Software Defined Modems and the Software Defined USBLs.
- Visualisation of the scripting/programming results.
- Questions and answers. Discussion.
Oleksiy Kebkal with a Ms in computer science and applied mathematics is an expert in underwater acoustic signal processing, embedded programming, algorithms/protocols design for underwater acoustic communications. He is the leading developer of Evologics proprietary D-MAC software (proprietary protocol stack), and of media access and networking software of the EviNS Framework (Evologics intelligent Networking Software Framework).
Veronika Kebkal received the MS degree in Applied Mathematics in Moscow State University in 2009 with the Diploma Thesis “Algorithms and Software Development for turbo-coding of S2C-DQPSK signals in underwater acoustic communications”. It was the beginning of her scientific activity in the field of underwater acoustic communication. Currently she is working as a software development engineer by Evologics GmbH, particularly in development of the DMAC and network layers (selectable stacks of protocols) for the acoustic modems built upon the Sweep-Spread Carrier technology (S2C-tecnology).
Presenters: Prasad Anjangi, Shiraz Shahabudeen, Chinmay Pendharkar, Subnero, Singapore
4 hrs of CEU credits optional
Participants must bring their own laptop for the hands-on sessions.
This is a comprehensive tutorial on the subject of practical software-defined under-water networks. The content presented in this tutorial can be broadly classified into the following two major topics:
- Setting up a practical underwater network.
- Crucial concepts involved in a network stack.
- Need for cross-layer optimization in an underwater network stack.
- Configuring network stack for different application scenarios.
- Developing applications utilizing the underwater network infrastructure such as:
- File transfer among nodes in an underwater acoustic network.
- Underwater localization of a mobile node (e.g. an Autonomous Underwater Vehicle (AUV)).
- Processing baseband acoustic signals using a software-defined modem.
The purpose of this tutorial is to expand the audience’s knowledge in the domain of practical underwater networks and software-defined modems. The content is prepared keeping the current state-of-the-art in mind. The objective is to equip the audience to be at the cutting-edge of this field at the end of this tutorial. The tutorial is not only useful for the new researchers in this domain but also to the experts in academia and relevant industries wanting to quickly develop, simulate and deploy their underwater networking solutions. The subject matter is covered through a combination of theoretical and hands-on sessions. The audience will learn to simulate and develop underwater peer-to-peer and networking applications using the tools and techniques presented.
- Configuring a practical underwater network
- Underwater network simulator
- Underwater localization
- Baseband signal processing using a software-defined modem
Prasad Anjangi received his Ph.D. in Electrical & Computer Engineering from National Unversity of Singapore (NUS) in 2016. Prior to that he received the B.Eng. degree in Electronics and Instrumentation Engineering from Andhra University, Andhra Pradesh, India, in 2007 and the M.Eng. degree in Biomedical Engineering from the Indian Institute of Technology (IIT), Bombay, India, in 2009. Currently, he is a Research Scientist and part of the core team at Subnero Pte. Ltd. He worked in semiconductor industries with Atmel and STMicroelectronics as Firmware and Senior Design Engineer, respectively, from 2009 to 2012. His current research interests include underwater acoustic communications, signal processing, networking protocol design, and autonomous underwater vehicles. Dr. Anjangi has served in technical program committee of WUWNet and is a reviewer of many journals including IEEE Journal of Oceanic Engineering and IEEE Transactions on Communications.
Shiraz Shahabudeen has held various engineering roles including at Infocomm Development Authority of Singapore (IDA), NeST Software, India etc. He was a Research Fellow at ARL, National University of Singapore (NUS) where his research interests included underwater acoustic communications and autonomous underwater vehicles. He is currently a R&D consultant for Subnero, Singapore. Dr. Shahabudeen holds an M.S degree in telecommunication engineering from Melbourne University (Australia) and a PhD from NUS in Underwater Communications.
Chinmay Pendharkar received his B.Eng. degree from the National University of Singapore (NUS) in 2006. Since then he has spent more than 10 years in the industry, from working on embedded software in Motorola Electronics Pte. Ltd. to working with experimental audio technologies at a startup spun out of NUS. He also has an M.Sc in Engineering Acoustics from Chalmers University of Technology (Sweden) which he completed in 2011. He is currently the Chief Technology Officer at Subnero, where one of his focuses is implementing software-defined networking applications on physical devices.
Presenters: Dr. WAN Ling, Newcastle University in Singapore.
4 hrs of CEU credits optional
Floating structures cover a broad range of knowledge and has a variety of applications, such as ships, floating oil platforms, floating wind turbine, floating
bridge, floating airport etc. Singapore is an island surrounded by waters, thus floating structures has always played an important role in the current and future industrial and commercial applications. With the problem of climate change, rising of water level has significantly threatened Singapore. Therefore, the design and analysis of innovative floating concepts to deal with future threats and to cater for future needs is attracting more attention.
This topic is to address the basic theory and analysis methods of offshore floating structures and will cover several important applications including floating houses, floating wind turbine, wave energy converters, floating bridges, etc. to meet the future needs of Singapore.
Singapore has limited land space, and land reclamation from sea is getting more and more expensive, meanwhile, the reclamation process is devastating to the marine environment. Floating solutions break this limit, that can provide space and reserve the current marine environment eco system, furthermore, floating solutions have the advantages in flexibility of deployment positions and easy construction and installation. However, design of the floating system needs theory and knowledge from Naval Architecture and Offshore Engineering. This topic contents cover the theory and analysis method on these applications.
- Introduction of Offshore structures
- Environmental conditions for offshore structures
- Dynamic response analysis of offshore structures
- Various offshore applications
Dr. WAN Ling, currently is an Assistant Professor at Newcastle University in Singapore. He joined Newcastle University after finishing his Research Fellow at National University of Singapore. He got his PhD from Norwegian University of Science and Technology, Trondheim, Norway, and supervised by Professor Torgeir Moan.
He has been educated and working on offshore engineering for many years and has been involved in many projects including: Joint Project between Sintef Ocean and National University of Singapore on Floating bridge and Multi-purpose Very Large Floating Structures; Marine Renewable Integrated Application (MARINA) Platform Project under European Commission 7th Framework Program. He has been published more than 10 journal papers. His research interest is on offshore floating structures; offshore renewable energy (offshore wind, offshore wave); global and local dynamic response analysis; advanced hydrodynamic analysis; advanced structural analysis; model testing of offshore structures etc.
Presenters: Dr. Cheng Chi and Dr. Peng Wang, Chinese Academy of Sciences, China
4 hrs of CEU credits optional
This is a comprehensive tutorial on the use, design and development of underwater acoustic imaging systems, namely imaging sonars. This tutorial aims at expanding the audience’s knowledge in the domain of underwater acoustic imaging. The current state-of-the-art of different types of imaging sonars, such as side scan, multi-beam, synthetic aperture and three-dimensional (3D), is updated in this tutorial. The existing challenges and future directions of underwater acoustic imaging are discussed. This tutorial is able to equip the audience with the cutting-edge of underwater acoustic imaging. Additionally, how to use different imaging sonars in different applications when integrating underwater vehicle systems is also presented. The tutorial is not only useful for the fresh researchers in underwater acoustic imaging, but also for the wide users of imaging sonars as well as the integrators of underwater vehicle systems.
The subject matter is covered through oral presentation. The audience will learn a lot about the imaging theory, algorithms of image reconstruction, system design, existing challenges, future directions and others.
- Introduction to underwater acoustic imaging.
- Fundamentals for different imaging sonars.
- Summary of advantages and shortcomings of these sonars.
- Techniques in synthetic aperture sonars.
- Techniques in real-time 3D sonars.
Cheng Chi (S’14-M’16) was born in Anhui Province, China. He got the Ph.D. degree in signal and information processing at Peking University, Beijing, in 2016, and received the B.Eng. degree in electronic engineering from University of Electronic Science and Technology of China, Chengdu, in 2011. Now, he is working as a Research Fellow of Acoustic Research Laboratory, National University of Singapore. He will shift to Institute of Acoustics, Chinese Academy of Sciences at the end of 2019, and act as an assistant professor. His research interests include signal processing for underwater acoustic imaging, wideband array design, noise cancellation, underwater acoustical communication, ultrasound medical imaging, and broadband acoustic current measurement.
Dr. Chi has served as reviewer for several reputed international journals. He is currently the Secretary of the IEEE Oceanic Engineering Society, Singapore Chapter, also serves as a committeemember of IEEE OCEANS2020 Singapore and OES Singapore AUV challenge.
Email: email@example.com or firstname.lastname@example.org
Peng Wang was born in Heilongjiang Province, China. He got the Ph.D degree in signal and information processing at University of Chinese Academy of Sciences, Beijing, in 2015, and received the B.Eng. degree in electronic engineering from Northwestern Polytechnical University, Xi’an, in 2010. Now, he is working as an assistant professor of Key Laboratory of Science and Technology on Advanced Underwater Acoustic Signal Processing, Chinese Academy of Science. His research interests include 3-D acoustical imaging, synthetic aperture sonar, passive sonar signal processing.
Presenters: Roee Diamant, University of Haifa, Israel
4 hrs of CEU credits optional
The detection of underwater signal is a key enabling technique for any active and passive underwater acoustic sensor applications. Technologies such as SONAR imaging, acoustic communication, depth detectors, and signal identification, all use as a backbone detection capability. Underwater acoustic detection is different from the established radio frequency techniques. Due to the fast changing sea environment, approaches based on noise estimation face mismatches between the assume noise model and its actual distribution. Further, the significant multipath that arrive closely in time produce negative and positive superposition, which makes it hard to identify the first arrival. And the time-varying-frequency-selective characteristics of the acoustic channel makes it challenging to loc onto the received signal.
A simple binary detection is needed to distinguish between noise and signal. Since the distance to the emitter is also of interest, we target not only the detection rate and the false alarm rate, but also the time of detection. In the considered applications, either a template of the signal is known, or neither the structure of the detected signal nor its statistics are known (e.g., duration, carrier frequency, bandwidth, etc.). The signal is of known or unknown length and may change in time. With no training data available, a learning mechanism for detection is not possible and detection is highly challenging. Specifically, since the distribution of the ambient noise is unknown and may include noise transients, many false alarms may arise. In the considered harsh conditions, simple blind detection techniques, such as variants of the energy detector, are expected to fail. This is because when the distribution of the ambient noise is mismatched with the assumed model and a threshold-based detection is used; any small noise transient may trigger a false alarm. Another simple option is spectrum sensing through cyclostationary analysis, where detection is based on estimating some cyclic features the signal is assumed to possess (e.g., carrier frequency). However, in case the structure and statistics of the detected signal are unknown and the signal can be wideband or pseudo-random noise, we cannot assume that the signal is comprised of some cyclic features.
In this tutorial, we will examine the theoretical foundation of underwater acoustic signal detection and offer some practical techniques. We will introduce the existing noise models, and discuss ways to estimate their parameters. Based on these, several theoretical bounds for detection performance will be presented. Traditional and state-of-the-art detection schemes will be studied, and analyzed by their suitability to the underwater domain. We will then focus on tailor-made solutions for both active and passive underwater signal detection, and show some test cases on practical applications. In the second part of the tutorial, the attendees will practice on detection of signals over both simulations and using real signals recorded at sea. Finally, the current research challenges will be reviewed.
- Basics of acoustic signal propagation models: propagation, attenuation, noise levels
- Common distribution models for acoustic signals: Gaussian, alpha, k-distribution
- Approaches and methodologies for acoustic signal detection: energy detection, cyclo-stationary, clustering
- Results from simulations and sea experiments
- Attendees building their own detector for signals from sea experiments
- Summary and future research directions on figuring a practical underwater network
Roee Diamant received his PhD from the Department of Electrical and Computer Engineering, University of British Columbia, in 2013, and his B.Sc. and the M.Sc. degrees from the Technion, Israel Institute of Technology, in 2002 and 2007, respectively. From 2001 to 2009, he worked in Rafael Advanced Defense Systems, Israel, as a project manager and systems engineer, where he developed a commercial underwater modem with network capabilities. In 2015 and 2016, he was a visiting Prof. at the University of Padova, Italy. In 2009, he received the Israel Excellent Worker First Place Award from the Israeli Presidential Institute. In 2010, he received the NSERC Vanier Canada Graduate Scholarship. Dr. Diamant has received three Best Paper awards, and serves as an associate editor for the IEEE Ocean Engineering. Currently, he is the coordinator of the EU H2020 project SYMBIOSIS (BG-14 track), and leads the underwater Acoustic and Navigation Laboratory (ANL) as an assist. Prof. at the Dept. of Marine Technology, University of Haifa. His research interests include underwater acoustic communication, underwater navigation, object identification, and classification.
Presenters: Dr. Weilin “Will” Hou, Hydro Optics, Sensors and Systems Section at the U. S. Naval Research Laboratory.
4 hrs of CEU credits optional
This course covers basic principles and applications of optical oceanography. The course is aimed to provide background information for those interested in exploring processes involving the ocean using optical techniques, including sensing and monitoring via remotely (passive and active), as well as traditional in situ measurement and sampling approaches. A brief introduction of oceanography will be given, followed by ocean optics principles include scattering by both particles and optical turbulence, polarization and impacts on underwater imaging and communication, through theoretical frame work and examples. Typical sensors and platforms including unmanned underwater vehicles are introduced. Topics associated with data collection, processing, analysis, fusion and assimilation to ocean models are also discussed. This course can also be used as a refresher for recent advances in related areas. This course helps to understand apply to research and development efforts relevant to the maritime environment, in such issues as sea surface temperature sensing, underwater imaging, and remote sensing including water quality monitoring related to biological activities or extreme events, for example.
- Grasp core concepts and fundamentals of oceanography, including key concepts in physical, chemical, biological and geological ocean research.
- Assess the basic principles and challenges associated with ocean sensing and monitoring with optical methods, including remote sensing and in situ sampling methods
- Understand recent advances in sensing platforms including unmanned aerial/underwater vehicles, and monitoring networks
- Gain new understanding of visibility theory from a MTF perspective
Weilin “Will” Hou has been involved in R&D in optics and oceanography for the past twenty years, with diverse background on many topics including lidar, remote sensing, underwater visibility theories and imaging systems, in situ measurements, and turbulence. He is currently an oceanographer and the head of the Hydro Optics, Sensors and Systems Section at the U. S. Naval Research Laboratory. He earned his PhD in Oceanography at the University of South Florida in 1997. He is the editor of 9 SPIE proceedings. He has 7 patents and over 60 publications. He is a senior member of IEEE and a Fellow of SPIE.