Innovative Water Quality and Ecology Monitoring Using Underwater Unmanned Vehicles: Field Applications, Challenges and Feedback from Water Managers
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Kinematic Modeling of a Rhex-Type Robot Using a Neural Network
Kinematic Modeling of a RHex-type Robot Using a Neural Network Mario Harpera, James Paceb, Nikhil Guptab, Camilo Ordonezb, and Emmanuel G. Collins, Jr.b aDepartment of Scientific Computing, Florida State University, Tallahassee, FL, USA bDepartment of Mechanical Engineering, Florida A&M - Florida State University, College of Engineering, Tallahassee, FL, USA ABSTRACT Motion planning for legged machines such as RHex-type robots is far less developed than motion planning for wheeled vehicles. One of the main reasons for this is the lack of kinematic and dynamic models for such platforms. Physics based models are difficult to develop for legged robots due to the difficulty of modeling the robot-terrain interaction and their overall complexity. This paper presents a data driven approach in developing a kinematic model for the X-RHex Lite (XRL) platform. The methodology utilizes a feed-forward neural network to relate gait parameters to vehicle velocities. Keywords: Legged Robots, Kinematic Modeling, Neural Network 1. INTRODUCTION The motion of a legged vehicle is governed by the gait it uses to move. Stable gaits can provide significantly different speeds and types of motion. The goal of this paper is to use a neural network to relate the parameters that define the gait an X-RHex Lite (XRL) robot uses to move to angular, forward and lateral velocities. This is a critical step in developing a motion planner for a legged robot. The approach taken in this paper is very similar to approaches taken to learn forward predictive models for skid-steered robots. For example, this approach was used to learn a forward predictive model for the Crusher UGV (Unmanned Ground Vehicle).1 RHex-type robot may be viewed as a special case of skid-steered vehicle as their rotating C-legs are always pointed in the same direction. -
Geologic Site of the Month: Why Is Sebago Lake So Deep?
Why is Sebago Lake so deep? Maine Geological Survey Maine Geologic Facts and Localities February, 1999 Why is Sebago Lake so deep? 43° 51‘ 13.36“ N, 70° 33‘ 43.98“ W Text by Robert A. Johnston Maine Geological Survey, Department of Agriculture, Conservation & Forestry 1 Why is Sebago Lake so deep? Maine Geological Survey Introduction Modern geophysical equipment allows geologists to investigate previously unmapped environments, including ocean and lake floors. Recent geophysical research studied the types, composition, areal extent, and thickness of sediments on the bottom of Sebago Lake in southwestern Maine. Geologists used side- scan sonar and seismic reflection profiling to map the bottom of the lake. Approximately 58 percent of the lake bottom was imaged with side-scan sonar and over 60 miles of seismic reflection profiles were collected. This web site will discuss the findings of the seismic reflection profiling. Maine Geological Survey, Department of Agriculture, Conservation & Forestry 2 Why is Sebago Lake so deep? Maine Geological Survey Physiographic setting Sebago Lake, although second in surface area to Moosehead Lake, is Maine's deepest lake. With a water depth of 316 feet, its deepest part is 49 feet below sea level! Sebago Lake is located in southwestern Maine 20 miles northwest of Portland and 50 miles southeast of the White Mountains. It lies along the transition between the Central Highlands and the Coastal Lowlands physiographic regions of New England (Figure 1). The abrupt change in landscape can be seen in panoramic views from several vantage points near Sebago Lake. Denny, 1982 Denny, Maine Geological Survey From From Figure 1. -
AI, Robots, and Swarms: Issues, Questions, and Recommended Studies
AI, Robots, and Swarms Issues, Questions, and Recommended Studies Andrew Ilachinski January 2017 Approved for Public Release; Distribution Unlimited. This document contains the best opinion of CNA at the time of issue. It does not necessarily represent the opinion of the sponsor. Distribution Approved for Public Release; Distribution Unlimited. Specific authority: N00014-11-D-0323. Copies of this document can be obtained through the Defense Technical Information Center at www.dtic.mil or contact CNA Document Control and Distribution Section at 703-824-2123. Photography Credits: http://www.darpa.mil/DDM_Gallery/Small_Gremlins_Web.jpg; http://4810-presscdn-0-38.pagely.netdna-cdn.com/wp-content/uploads/2015/01/ Robotics.jpg; http://i.kinja-img.com/gawker-edia/image/upload/18kxb5jw3e01ujpg.jpg Approved by: January 2017 Dr. David A. Broyles Special Activities and Innovation Operations Evaluation Group Copyright © 2017 CNA Abstract The military is on the cusp of a major technological revolution, in which warfare is conducted by unmanned and increasingly autonomous weapon systems. However, unlike the last “sea change,” during the Cold War, when advanced technologies were developed primarily by the Department of Defense (DoD), the key technology enablers today are being developed mostly in the commercial world. This study looks at the state-of-the-art of AI, machine-learning, and robot technologies, and their potential future military implications for autonomous (and semi-autonomous) weapon systems. While no one can predict how AI will evolve or predict its impact on the development of military autonomous systems, it is possible to anticipate many of the conceptual, technical, and operational challenges that DoD will face as it increasingly turns to AI-based technologies. -
Implications for Management AFRICAN GREAT LAKES
AFRICAN GREAT LAKES CONFERENCE 2nd – 5th MAY 2017, ENTEBBE, UGANDA Dynamics of Fish Stocks of Commercial Importance in Lake Victoria, East Africa: Implications for Management Robert Kayanda, Anton Taabu-Munyaho, Dismas Mbabazi, Hillary Mrosso, and Chrisphine Nyamweya INTRODUCTION • Lake Victoria with a surface area of 68,800 sqkm is the world’s second largest freshwater body • It supports one of the world’s most productive inland fisheries with the estimated total fish landings from the lake for the period of 2011 to 2014 have been about 1 million tons with a beach value increasing from about US$ 550 Million in 2011 to about US$ 840 million in 2014. • It supports about 220,000 fishers (Frame Survey 2016) • The fish stocks of Lake Victoria have changed dramatically since the introduction of Nile perch Lates niloticus during the late 1950s and early 1960s Fishery Haplochromines The Original Fish Fauna Brycinus sp Protopterus Rastrineobola Mormyrus spp Barbus spp Bagrus docmac Labeo Schilbe intermedius Oreochromis variabilis Clarias gariepinus Mormyrus spp Synodontis victoriae Oreochromis leucostictus INTRODUCTION Currently, the fisheries is dominated by four major commercial important species, these are; •Nile perch •Dagaa •Nile tilapia •Haplochromis Apart from Nile tilapia only estimated through trawl and catch surveys, the other 3 are estimated through trawl, acoustics, and catch INTRODUCTION This paper summarizes current knowledge of the status of the fish stocks and reviews the need for species specific management plans for the major commercial important fish species of Lake Victoria (Nile perch, Nile tilapia, dagaa and haplochromines). Methods • Fisheries dependent – Frame surveys – Catch assessment surveys • Fisheries independent – Acoustic – Bottom trawl Biomass and relative abundance • Total biomass from the surveys 3500 remained fairly stable over time. -
Chesapeake Bay Trust Hypoxia Project
Chesapeake Bay dissolved oxygen profiling using a lightweight, low- powered, real-time inductive CTDO2 mooring with sensors at multiple vertical measurement levels Doug Wilson Caribbean Wind LLC Baltimore, MD Darius Miller SoundNine Inc. Kirkland, WA Chesapeake Bay Trust EPA Chesapeake Bay Program Goal Implementation Team Support This project has been funded wholly or in part by the United States Environmental Protection Agency under assistance agreement CB96341401 to the Chesapeake Bay Trust. The contents of this document do not necessarily reflect the views and policies of the Environmental Protection Agency, nor does the EPA endorse trade names or recommend the use of commercial products mentioned in this document. SCOPE 8: “…demonstrate a reliable, cost effective, real-time dissolved oxygen vertical monitoring system for characterizing mainstem Chesapeake Bay hypoxia.” Water quality impairment in the Chesapeake Bay, caused primarily by excessive long-term nutrient input from runoff and groundwater, is characterized by extreme seasonal hypoxia, particularly in the bottom layers of the deeper mainstem (although it is often present elsewhere). In addition to obvious negative impacts on ecosystems where it occurs, hypoxia represents the integrated effect of watershed-wide nutrient pollution, and monitoring the size and location of the hypoxic regions is important to assessing Chesapeake Bay health and restoration progress. Chesapeake Bay Program direct mainstem water quality monitoring has been by necessity widely spaced in time and location, with monthly or bi-monthly single fixed stations separated by several kilometers. The need for continuous, real time, vertically sampled profiles of dissolved oxygen has been long recognized, and improvements in hypoxia modeling and sensor technology make it achievable. -
The End of the Holocene Humid Period in the Central Sahara and Thar Deserts: Societal Collapses Or New Opportunities? Andrea Zerboni1, S
60 SCIENCE HIGHLIGHTS: CLIMATE CHANGE AND CULTURAL EVOLUTION doi: 10.22498/pages.24.2.60 The end of the Holocene Humid Period in the central Sahara and Thar deserts: societal collapses or new opportunities? Andrea Zerboni1, S. biagetti2,3,4, c. Lancelotti2,3 and M. Madella2,3,5 The end of the Holocene Humid Period heavily impacted on human societies, prompting the development of new forms of social complexity and strategies for food security. Yearly climatic oscillations played a role in enhancing the resilience of past societies. The Holocene Humid Period or Holocene settlements (Haryana, India), show a general changes in settlement pattern, rather than full- climatic Optimum (ca. 12–5 ka bP), in its local, trend towards desertification and higher fledged abandonment. monsoon-tuned variants of the African Humid evapotranspiration between 5.8 and 4.2 ka bP, Period (DeMenocal et al. 2000; Gasse 2000) followed by an abrupt increase in δ18O values In the SW Fazzan, the transition from the Late and the period of strong Asian southwest (or and relative abundance of carbonates, indic- Pastoral (5-3.5 ka bP) to the Final Pastoral summer) monsoon (Dixit et al. 2014), is one ative of a sudden decrease in Indian summer (3.5-2.7 ka bP) marks the ultimate adaptation of the best-studied climatic phases of the monsoon precipitations (Dixit et al. 2014). to hyperarid conditions and, later, the rise Holocene. Yet the ensuing trend towards arid- of the Garamantian kingdom (2.7-1.5 ka bP; ity, the surface processes shaping the pres- Aridification and cultural processes Mori et al. -
Towards Autonomous Localization of an Underwater Drone
TOWARDS AUTONOMOUS LOCALIZATION OF AN UNDERWATER DRONE A Thesis presented to the Faculty of California Polytechnic State University, San Luis Obispo In Partial Fulfillment of the Requirements for the Degree Master of Science in Computer Science by Nathan Sfard June 2018 c 2018 Nathan Sfard ALL RIGHTS RESERVED ii COMMITTEE MEMBERSHIP TITLE: Towards Autonomous Localization of an Underwater Drone AUTHOR: Nathan Sfard DATE SUBMITTED: June 2018 COMMITTEE CHAIR: Lynne Slivovsky, Ph.D. Professor of Computer Engineering COMMITTEE MEMBER: John Seng, Ph.D. Professor of Computer Science COMMITTEE MEMBER: Xiao-Hua Yu, Ph.D. Professor of Electrical Engineering iii ABSTRACT Towards Autonomous Localization of an Underwater Drone Nathan Sfard Autonomous vehicle navigation is a complex and challenging task. Land and aerial vehicles often use highly accurate GPS sensors to localize themselves in their envi- ronments. These sensors are ineffective in underwater environments due to signal attenuation. Autonomous underwater vehicles utilize one or more of the following approaches for successful localization and navigation: inertial/dead-reckoning, acous- tic signals, and geophysical data. This thesis examines autonomous localization in a simulated environment for an OpenROV Underwater Drone using a Kalman Fil- ter. This filter performs state estimation for a dead reckoning system exhibiting an additive error in location measurements. We evaluate the accuracy of this Kalman Filter by analyzing the effect each parameter has on accuracy, then choosing the best combination of parameter values to assess the overall accuracy of the Kalman Filter. We find that the two parameters with the greatest effects on the system are the con- stant acceleration and the measurement uncertainty of the system. -
Modeling and Simulation of Motion of an Underwater Robot
2016 International Symposium on Nonlinear Theory and Its Applications, NOLTA2016, Yugawara, Japan, November 27th-30th, 2016 Modeling and Simulation of Motion of an Underwater Robot Ryo Inoharay, Kaito Isogaiy, Hideo Nakanoz, and Hideaki Okazakiy yGraduate School of Engineering, Shonan Institute of Technology 1–1–25, Tsujidounishikaigan, Fujisawa-shi, Kanagawa Prefecture 251-8511, Japan zFaculty of Engineering, Shonan Institute of Technology 1–1–25, Tsujidounishikaigan, Fujisawa-shi, Kanagawa Prefecture 251-8511, Japan Email: [email protected], [email protected], [email protected], [email protected] Abstract—This paper presents how system dynamics ics [1] of an underwater robot based on [2], [4]. The time and system control equations for an underwater robot were parameter t for all the stated variables, such as r(t), or Ω(t), derived using an Arnold-type operator to control the Open- etc., is omitted for convenience. We use the following no- ROV. Typical behavior of the OpenROV on MATLAB nu- tation as [2] (Fig 2): merical simulations is illustrated. ei 2 w (i = 1; 2; 3) are the base vectors of a right-handed Cartesian stationary coordinate system at the origin O; 2 = ; ; 1. Introduction Ei W (i 1 2 3) are the base vectors of a right moving coordinate system connected to the body at the center of Although there are several designs, control system equa- the mass Oc. tions, and dynamic equations for underwater robots, such as [1], unified methods to describe the dynamic equations Definition 1 Let w and W be oriented euclidean spaces for the rigid body kinetics of an underwater robot have yet (i.e. -
Manual for Phytoplankton Sampling and Analysis in the Black Sea
Manual for Phytoplankton Sampling and Analysis in the Black Sea Dr. Snejana Moncheva Dr. Bill Parr Institute of Oceanology, Bulgarian UNDP-GEF Black Sea Ecosystem Academy of Sciences, Recovery Project Varna, 9000, Dolmabahce Sarayi, II. Hareket P.O.Box 152 Kosku 80680 Besiktas, Bulgaria Istanbul - TURKEY Updated June 2010 2 Table of Contents 1. INTRODUCTION........................................................................................................ 5 1.1 Basic documents used............................................................................................... 1.2 Phytoplankton – definition and rationale .............................................................. 1.3 The main objectives of phytoplankton community analysis ........................... 1.4 Phytoplankton communities in the Black Sea ..................................................... 2. SAMPLING ................................................................................................................. 9 2.1 Site selection................................................................................................................. 2.2 Depth ............................................................................................................................... 2.3 Frequency and seasonality ....................................................................................... 2.4 Algal Blooms................................................................................................................. 2.4.1 Phytoplankton bloom detection -
Rice Lake Nature Area
Rice Lake Nature Area Location: 4120 Bassett Creek Drive Nature Area Size: 9.23 Acres Description The Rice Lake Nature Area is located along the north side of Bassett Creek Drive. The nature area is within a residential neighborhood, although the woods and wetland provide more seclusion than expected for a small urban nature area. Access to the park is through a pedestrian bridge crossing of Bassett Creek, which flows from west to east. In this reach, Bassett Creek is within an incised channel and some bank erosion is present. The creek is bordered by mixed hardwood floodplain forest and hardwood swamp. Reed canary grass is present where there is sufficient clearing, but the understory can be sparse due to heavy shading. Tree removal would likely generate a flush of reed canary grass Rice Lake Nature Area can be accessed by walking an aggregate path, and a boardwalk leading to a floating dock. South Rice Pond, sometimes referred to as Rice Lake, is a shallow basin, with a wide emergent marsh fringe. Small, shallow ponds and lakes like South Rice, are somewhat unique, as they are successionally proceeding from deeper open water to wetland. That natural process can be observed from the Rice Lake Nature Area, by observing the existing habitat and surrounding areas. The Rice Lake Nature Area provides a unique opportunity to provide an unobstructed view of South Rice Pond. Because the park is dominated by wetland, access is limited to a raised trail and boardwalk. Forest and Woodlands The southern portion of the Rice Lake Nature Area is composed of a mixture of floodplain forest and hardwood swamp. -
Advances in the Monitoring of Algal Blooms by Remote Sensing: a Bibliometric Analysis
applied sciences Article Advances in the Monitoring of Algal Blooms by Remote Sensing: A Bibliometric Analysis Maria-Teresa Sebastiá-Frasquet 1,* , Jesús-A Aguilar-Maldonado 1 , Iván Herrero-Durá 2 , Eduardo Santamaría-del-Ángel 3 , Sergio Morell-Monzó 1 and Javier Estornell 4 1 Instituto de Investigación para la Gestión Integrada de Zonas Costeras, Universitat Politècnica de València, C/Paraninfo, 1, 46730 Grau de Gandia, Spain; [email protected] (J.-A.A.-M.); [email protected] (S.M.-M.) 2 KFB Acoustics Sp. z o. o. Mydlana 7, 51-502 Wrocław, Poland; [email protected] 3 Facultad de Ciencias Marinas, Universidad Autónoma de Baja California, Ensenada 22860, Mexico; [email protected] 4 Geo-Environmental Cartography and Remote Sensing Group, Universitat Politècnica de València, Camí de Vera s/n, 46022 Valencia, Spain; [email protected] * Correspondence: [email protected] Received: 20 September 2020; Accepted: 4 November 2020; Published: 6 November 2020 Abstract: Since remote sensing of ocean colour began in 1978, several ocean-colour sensors have been launched to measure ocean properties. These measures have been applied to study water quality, and they specifically can be used to study algal blooms. Blooms are a natural phenomenon that, due to anthropogenic activities, appear to have increased in frequency, intensity, and geographic distribution. This paper aims to provide a systematic analysis of research on remote sensing of algal blooms during 1999–2019 via bibliometric technique. This study aims to reveal the limitations of current studies to analyse climatic variability effect. A total of 1292 peer-reviewed articles published between January 1999 and December 2019 were collected. -
Development of an Underwater Robot
School of Science & Engineering Capstone Design Development of an Underwater Robot Oumaima Lamaakel Supervised by Dr. Kevin Scott Smith Submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in General Engineering Spring 2018 2 DEVELOPMENT OF AN UNDERWATER ROBOT FOR MUD SAMPLES PICK UP Capstone Report Student Statement: The work submitted is solely prepared by Oumaima Lamaakel and it is original. Excerpts from other’s work have been clearly identified, acknowledged and listed in the list of references. The engineering drawings, computer programs, prototype development, and testing protocols reported in this document are also original and adhere to the engineering design ethics and safety measures. ______________________ Oumaima Lamaakel Approved by the supervisor: ______________________ Dr. Kevin Scott Smith 3 Acknowledgment I am highly indebted to my supervisors prof. Kevin Smith and prof. Lorraine Casazza for their guidance, constant supervision and support throughouts the whole year. I would like to express my gratitude to prof Veronique Van Lierde for helping understand the kinematics behind manipulators, prof. Asmae Khaldoun for her feedback regarding materials selection, prof. Yassine Salih Alj for his support and coordination work, the lab technician Mr Abderahim Boulakrouch, and Al Akhawayn University and the School of Science & Engineering for giving me the opportunity to pursue this project. My gratitude extends to the members of the ROV team, who helped me assemble the prototypes, especially Jade El Haimer for his invaluable help. I would also like to thank my dear family, friends for their support throughout my undergraduate education. 4 List of Tables and Figures Table 2 Comparison of Thrusters ...........................................................................................