circulation modeling of infrastructure installation at Rota Harbor in Northern Marianna IslandsINTRODUCTION Rota Harbor is located on the northwest coast of the Rota Island in the USCommonwealth of the Northern Mariana Islands (CNMI), approximately 6,100 km westof Hawaii. Rota Island is small, around 85.5 km2 above the mean sea level (MSL), 17 kmlong and 8 km wide with a highest elevation of 500 m on Mt. Manira. Rota harbor wasconstructed by the US Army Corps of Engineers (USACE) between 1978 and 1985. Itlies 60 km northeast of Guam and 110 km southwest of Saipan at 14o 10’ N, 145o 14’ E(Fig. 1). The study area is located on a sandy peninsula, partially surrounded by fringingcoral reef. Adjacent to Rota Harbor, the natural reef
exists. Although divers do not blindly dive into the wrecks, their methods forscoping out the site are primarily visual and tactile, and no means of easy chemical trackingexists. In the past, nautical archaeologists have unwittingly dived into waters that containeddangerous levels of lead, arsenic, and other chemical pollutants. Furthermore, artifacts are oftendelicate and require careful conservation with chemicals to reverse damage and prevent furtherdegradation, which require conservation plans for each specific artifact [1][2]. As such,technology that can track environmental data for underwater missions is needed because thereare no convenient or affordable methods to track the chemical composition of the water at thesesites available in the
casestudy. The three to four case studies change every year. Students from diverse disciplines, includingengineering, planning, economics, hydrology, biology, architecture, geography, communications, andcomputational hydraulics, interested in flood risk reduction can apply. Those accepted into the Programare placed in interdisciplinary research teams composed of 5-6 students: 1-2 PhD, 2-3 Masters, and 2-3undergraduate students. The teams are guided by project faculty mentors from both U.S. and Dutchpartner institutions. A two-week long research trip to the Netherlands provides transformativeeducation and an authentic learning environment through field trips, meetings with Dutch flood experts,lectures, and participation in design workshops. Students
˚C Δ𝑇2 ˚C 1 2 Log Mean Temperature Δ𝑇𝑙𝑚 ˚C 𝜂 Shear Viscosity Pa·s Difference Helix Angle at Barrel 𝜃𝑏 ˚ 𝜌𝑚 Melt Density kg/m3 Wall 𝜔 Angular Velocity rev/m 𝑐𝑝 Specific Heat Capacity J/kgK Change in Material 𝐷𝑏 Inner Diameter of Barrel m 𝑑𝑇 ˚C
their own research (Seman, 2006). 1 Marine Mechatronics Applications Recent naval combatant innovations have led to the development of Autonomous SurfaceVehicles (ASVs), for the purpose of more enduring, reliable, and autonomous missions(Huntsberger & Woodward, 2011). Swarm boats are a recent development in ASVs. They serveas auxiliary protective mobile boats that can help the main vessel navigate ocean systems in asafer way. These “drone boats” function to swarm a vessel that would attack the main boat. Theyhave appropriate technology, such as Control Architecture for Robotic Agent Command andSensing (CARACaS). This includes sensors and accompanying software that react if
builds upon previous labs detailing theUSV model and path planning using potential fields. The USVs are simulated in coordinatedmovements and in a coordinated search pattern. The system of USV systems is simulated in Matlab.This exercise introduces students to biomimetics and artificial intelligence methods such as modelsfor flocking behavior or swarm intelligence. The group of vehicles’ coordinated paths and controlcan be augmented utilizing data from a WSN to ensure a more efficient path. The efficacy of theassignment is demonstrated through student engagement in the exercise.1. IntroductionStudent involvement in design or simulation increases student attention and interest.[1]-[5] In thisproject, students were given the theory for simple
these rankthe laboratory component’s ability to contribute to the direct assessment of multiple studentoutcomes. Consistent with this, many programs seek ways to introduce such activities into theirprograms of study. As strong as these motivations are, programs may encounter the followingobstacles to creating additional laboratory components for a program of study: 1) Space constraints 2) Faculty member time constraints 3) Student scheduling constraints 4) Financial constraints on the purchase of laboratory equipmentEven if these constraints are satisfied partially or completely, there is still an opportunity costassociated with each of these constraints; a program that is able to re-purpose or build new spacefor a laboratory
response to theneeds of the maritime stakeholders from military, government and industry, Old DominionUniversity is expanding its faculty, research, curriculum, facilities infrastructure, and studentengagement programs.This paper discusses Old Dominion University’s distance learning curriculum for marineengineering education. This initiative is being carried out in response to industry and Navydemand to maintain a professional marine engineering workforce, such as reported by theNational Shipbuilding Research Program [1], and complements Old Dominion University’s highrate of success in distance learning and marine engineering education over the past 15 years.Prior to 2016, two marine engineering courses were developed for, and launched in, a
, avariety of ‘E-Hex’ blocks which enclose thermal energy units of different BTU capacity and,thus, vary in weight from 10-18 kips. Finally, both the base and roof of the hexitat are to beconstructed of slightly heavier composites, each 1/2-ft thick weighing 1.0 kip per H/A. Besidesweight variations, each type construction unit (C/U) differs in its thermal conductivity andprocurement cost - critical design information known initially only to each team’s ThermalEngineer and Project Manager, respectively. A summary of the weights and characteristics ofeach C/U is shown in Table 1. Table 1. Principal Characteristics of Each Type Construction Unit Unit Properties P-Hex T-Hex 1/2-Hex A-Hex E-Hex Base Roof
Department Chair, choose either a thesis option (24 semester hoursplus a six hour Thesis), a project option (27 semester hours plus a three hour Project) or a courseonly option (36 semester hours). All options require an oral examination which is a Thesisdefense, a Project defense or a coursework exam respectively.There are approximately thirteen universities with MS and/or ME degree programs, [1] and [2],in Coastal and/or Ocean Engineering. Only one has the word Coastal in the title (MS and ME inCoastal and Ocean Engineering at the University of Florida). The University of North Floridahas a MS Civil Engineering degree with a major in Coastal Engineering. A number ofuniversities have MS or ME and PhD programs that have a specialty in Coastal
some basic information on the search area, the teams then moveforward with a process that essentially only had two constraints: 1) the relatively short period oftime of eight months from problem statement to demonstration and, 2) each team received amaximum of $15,000 for developing their solution. The role of the advisor was to keep theproject moving forward, but not to give direction or to provide solutions.The ProcessThe description of the project was provided by the project sponsor: “The Office of the Secretaryof Defense, Rapid Reaction Technology Office (RRTO) is sponsoring a student design, build,and demonstrate project to explore how effectively motivated, intelligent persons with just ageneral background in engineering (role filled by
design), and it helps inunderstanding the importance of having enough but not too much structure. This is showngraphically in figure 1. below where it can be seen that the structure of the ship both influencesand is influenced by many other aspects of the ship. Figure 1.The hull, decks, and superstructure of a ship serve as both external envelope boundaries andinternal subdivision boundaries. They are the structures that maintain and support the integrity ofthe ship and keeps the ship watertight as they experience static and dynamic loads. This isreferred to as a monocoque construction where the external covering carries the structural loads.To simplify the explanation of how this all comes together
group was formed to further discuss the implementation of coastal engineering training asimplemented by the ERDC-WES Graduate Institute, which evolved into the Coastal EngineeringEducation Program (CEEP).The CEEP consisted of classes offered by the Coastal Engineering Research Center (CERC), oneof the ERDC laboratories, and Texas A&M University (TAMU) towards a master’s degree inocean-coastal engineering for Corps employees. The program was designed such that Districtemployees took classes from TAMU and CERC over a 1-year period. Students spent onesemester on the TAMU campus in College Station, Texas, one semester at CERC in Vicksburg,Mississippi, and took courses and gained field experience at the Field Research Facility, a Corpscoastal
of the platform and preliminary trials with data collection runs in remote-controlled andautonomous mode. All spatial and water quality related sensory data are recorded to a memorycard on the boat for subsequent data analysis and mapping efforts.1. IntroductionNonpoint source pollution is caused by the transport of natural and man-made pollutants viarainfall or snowmelt into lakes, rivers, and coastal waters. Some of the largest sources of thesepollutants include fertilizer from agriculture, animal wastes from poultry farms, and otheranthropogenic sources. The aggregation of these nutrient and sediment loads from run-off canresult in a state of eutrophication in the impacted water body. These increased levels of nutrientscan lead to the
Master of Science in Mechanical Engineering from the Pennsylvania State University. Prior to joining the MMA, Gail served as a Civil Engineer Corps officer of the United States Navy for almost 10 years, worked in private industry, and co-founded two companies one in product development and the other in service. She is currently working on her PhD in Engineering and Applied Science in the Advanced Mechanics of Materials program at the University of Massachusetts, Dartmouth. c American Society for Engineering Education, 2017 A Case Study on Gender Gap at Massachusetts Maritime Academy Farzam S. Maleki[1], PhD, PE and Gail M. Stephens[2], PE [1] and [2
circuit with damping ratio, natural frequency, and the polelocations are studied in both time and frequency responses. In the second parts of laboratorystudents estimate the damping ratio and the natural frequency response from the step responsedata of a vessel at sea1. They apply the principle of standard 2nd order system identification tothe vessel motion about its roll axis. The vessel roll dynamics is defined as a transfer function ofroll-angle and the disturbance torque input.Part 1: Relationship between RLC Circuit and Standard 2nd Order SystemConsider a second order low pass filter shown in Figure 1; the continuous time transfer functionof this cascade RLC circuit can be defined as the ratio of Laplace transform of output voltage
North Carolina as prime. An additionalcatalyst was the successful MS Engineering (Coastal Engineering emphasis area) programapproved by Jackson State University in May 2014 which produced a steady, albeit small,pipeline of two graduates yearly, (about 75% underrepresented African American minority U.S.citizens) over the past six years. This MS Engineering degree, Coastal Engineering emphasisarea (emanated from another DHS cooperative agreement awarded to Jackson State University in2008) has helped build a, mostly local, potential supply of students for the PhD program.Reference [1] describes this MS Engineering program. One objective of these DHS educationfocused cooperative agreements was to enhance the inclusion of underrepresented minority
environmentgiving the students more feedback on how the controllers would behave on a real system. Thenew “realistic” lab exercise’s efficacy is demonstrated through each of the student’s increasedunderstanding of control system concepts.1. Introduction“Autonomous Unmanned Vehicle (AUV) Workbench [1]-[5] was developed as a modeling andsimulation environment to enable physics based real time simulation of autonomous vehicles,such as surface, underwater, land and air [6].” This or similar software allows a lower costproblem based learning (PBL) capability as compared to “the high cost of large scaleunderwater, land and air vehicles [6].” PBL has been shown to engage students more therebyincreasing student involvement and understanding of lecture materials [7
Page 24.25.3of entry for European immigrants. On Sept. 8, 1900 this hurricane made landfall, with littlewarning, resulting in 8,000-10,000 deaths (20-25% of the total population). This was the mostdeadly natural disaster to strike the U.S. An amazing recovery ensued, based onrecommendations of a board chaired by BG (ret) Henry Martyn Robert, former Chief ofEngineers of the U.S. Army. Recommendations included the following: (1). A 4.8km curved seawall constructed to +5.2m mean low tide. (2). A hydraulic fill to 5.5m for a 61m distance behind the seawall. (3). A brick pavement 10.7m back of the seawall, soil and bermuda grass for another 18.3m back.The seawall was 5,362m long; 4.9m wide at the bottom, and 1.5m wide at the
simulated with MATLAB softwaretool. The lab exercise demonstrates to the students the increased utilization of WSNs for variousapplications such as control systems.1. IntroductionIncreased student involvement with the design process and more immediate feedback in the formof two dimensional (2D) and three-dimensional (3D) simulation environments such asAutonomous Unmanned Vehicle (AUV) workbench [1]-[3] or MATLAB results in improvedunderstanding of and engagement in the material. Problem based learning (PBL) continues to bea successful method for increasing student involvement [4]-[8]. The students are provided withan open problem where the students are expected to explore a path planning technique based onpotential fields where regions of
is accomplished wirelessly from shorevia computer.Many researchers have been developing different autonomous dynamic positioning systemsaround the world. Ker-Wei, Yu and Hsu used the particle swarm optimization method for a shipcoordinate system [1]. Alarҫїn used a neural network based on an internal model to control theroll motion of a ship [2]. Moan developed the safety and challenges of station-keeping systems inthe view of in-service experience [3]. Fu, Ning, and Wei developed a method of on-linereconfiguration of a dynamically positioned vessel’s controller by using a virtual thruster in theinstance of thruster failures [4]. Xia, Shi, Fu, Wang, and Bian used hybrid Proportional IntegralDerivative (PID) controllers with a neural network
create interest for the Geoscience workforce of the future.IntroductionIt is well-recognized that early engagement and challenge-based instruction of students includingunderrepresented students in cutting-edge research is the key in promoting their learningopportunities and outcomes [1]. A team of undergraduate students from North Carolina A&TState University under the guidance of faculty advisors participated in a two-semester research,design, assembly and demonstration project named Perseus II, sponsored by the Office of theSecretary of Defense’s Rapid Reaction Technology Office (RRTO). The overarching goals ofthis initiative were multi-fold: (a) to expose undergraduate students including freshmen,sophomore and minorities to ocean
of their efforts and the lessons learnedare reported in this paper. Future undergraduate research areas are explored with suggestions onhow WSN topics can permeate into undergraduate education. Lessons learned from this multi-year undergraduate project are presents and feedbacks form other instructors considering oralready involved similar projects are welcomed. 1. IntroductionMonitoring of the coastal and marine environment has become a field of strong scientificinterests in the last decades, as such these areas are very important for economic and social pointof view as more people and business are located or relocated there. The environment areas areunder ever increasing pressures from human activity, accidents and natural disasters
mobile devicesamong our students, a survey was completed by students of different degrees betweenOctober and December 2013 at University of La Laguna (Spain): Marine Engineering, Radioelectronics Engineering, Nautical Science, Industrial Engineering and Electronic Engineering.The mean age value of the surveyed students was around 23 years old with over 95% of themcomprised between 22 and 24 years old (Figure 1). From a total of 121 surveyed students,118 stated to have a computer available, owning more laptops or notebooks than desktops(comparison between figures 2 and 3). Page 24.1029.4 Fig. 1: Age range of the surveyed
David Kolb in hisexperiential learning cycle1 shown in Figure 1. The Kolb’s learning cycle outlines four mainquestions to be answered by every student working on any project to maximize learning. Thequestions are: “Why?”, ”What?”, ”How?”, and “What if?”.Success of this project can be largely attributed to the multidisciplinary team consisting ofengineering students and faculty, marine biology students and faculty, computer sciencestudents, and participating scientists and engineers from NASA Wallops Flight Facility whohelped keep the project on track through effective communication, goal-setting, and appropriatemonitoring and execution of tasks.This project is a continuation of a project 2&3 started in summer 2009 at the university aimed
, reflection papers, peerevaluations, and course surveys. More specifically, the aim of this work is to explore the efficacyof the project in meeting a variety of learning outcomes, including enhancing 21st century skillsin audiovisual communication, and deepening the students’ knowledge of ocean engineeringconcepts. Finally, this paper shares lessons learned and provides recommendations for futureimplementations of this course project.IntroductionExperiential learning has gained ample traction in engineering education for its efficacy inmotivating students [1], increasing understanding of content [2], strengthening innovativethinking [3] and boosting self-efficacy [4], among other benefits. A wide range of pedagogiesfall under the umbrella of
cognitive work in the classroom underthe tutelage of the instructor and peers. The flipped classroom model was recently instituted at StateUniversity of New York (SUNY) Maritime College in a junior-level engineering course with a studentpopulation of largely varying abilities and career goals, including students who seek U.S. Coast Guardlicensure. The motivation for adopting the flipped classroom model was threefold: (1) The traditionalclassroom may be a disconnect for license students who often work in teams and spend many hours inactive-learning environments like ship simulators and on a training ship. Thus, it is reasonable tosuspect that the flipped classroom model may resonate well with license students who seem to thrive inthese hands-on
enrolled in courses within the engineering studies program. This paper willdiscuss the collaboration developed between the high school and college students, how thementorship program was delivered, and how the program successfully helped future engineeringstudents to establish their engineering and future STEM identities.IntroductionVarious sources indicate that women have earned only 18% of the engineering degrees awardedin the United States and Canada [1], although girls do not lag behind boys in grades or test scoresin either math or science [2]. Consistently low populations of women in engineering are oftenattributed to discrimination, the perception that engineering is a masculine domain, and the lackof understanding about the roles and
or allow shippingcontainers to self-stack. Scale model testing was scheduled to be performed in Spring 2021.Because the design work during the sequence is so broad, several ABET assessments areperformed in the two courses. This paper focuses on ABET Criterion 3 Student Outcome 5(henceforth ABET Outcome 5). The ABET Outcome 5 is given as “an ability to functioneffectively on a team whose members together provide leadership, create a collaborative andinclusive environment, establish goals, plan tasks, and meet objectives” [1]. This outcome isbroken down into 6 categories – or performance indicators. Utilizing these performanceindicators allows an identification of what portions of the outcome students are struggling tomeet. The breakdown is