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- 2013 ASEE Annual Conference & Exposition
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Duke Mejia Bulanon, Northwest Nazarene University; Stephen A. Parke P.E., Northwest Nazarene University
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Computing & Information Technology
production. For example, the features of the tree such ascanopy volume could be used to control the amount of water applied to a particular tree based onits size. This is one type of applications of Precision Agriculture, where the crops are managedbased on the crops’ specific information. (a) Raw Image (b) Color Filter 1 (c) Color Filter 2 (d) Erosion and Dilation (e) Masking (f) Feature Extraction Figure 6. Image processing for tree recognition4. ConclusionOne of the concepts taught in the Control Systems course in the engineering program ofNorthwest Nazarene University is MVS. In teaching MVS, two laboratory experiments areconducted to learn the
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- Information and Network Security
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- 2013 ASEE Annual Conference & Exposition
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Abul K. M. Azad, Northern Illinois University; Munish Sharma, Northern Illinois University
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Computing & Information Technology
we have all these LMS, why do we need another one? The main consideration for LMSsoftware development was the requirements for teaching courses (online or hybrid). None ofthem catered to Internet accessible remote laboratories. With this scenario, an LMS has beendeveloped to support remote laboratory delivery. Along with the standard features, the newlydeveloped LMS allows management of the laboratory experiments, performance of experimentsby the students, access control, experiment time allocation, a queue for experiment performance,weekly surveys, and tracking of facility usage.6. Developed Learning Management SystemThe LMS has been developed to support an Internet accessible remote laboratory facility. TheLMS is implemented using a
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- Information and Network Security
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- 2013 ASEE Annual Conference & Exposition
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john pickard, East Carolina University; Te-shun Chou, East Carolina University; Philip J Lunsford II P.E., East Carolina University; John Spence
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Computing & Information Technology
Security Instruction. J. Educ. Resour. Comput. 6(4), 5. doi: 10.1145/1248453.1248458.2. Cao, X., Y. Wang. Wang, A. Carciula & Wang. 2009. Developing a multifunctional network laboratory for teaching and research. In Proceedings of the 10 th ACM conference on SIG-information technology education, 155-160. Fairfax, Virginia, USA: ACM.3. Curtis, S. 2011. World IPv4 Stocks Finally Run Out. TechWeek Europe.4. DoD HPC. 2012. IPv6 not Needed Here. Retrieved 11 December, 2012 from http://www.hpcmo.hpc.mil/cms2/5. EMC. 2012. EMC Academic Alliance. Retrieved 11 December, 2012, from https://education.emc.com/academicalliance.6. Hamza, M. K., Alhalabi, B., Hsu, S., Larrondo-Petre, M. M., and Marcovitz, D.M. 2003. Remote
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Jeffrey Chastine, Southern Polytechnic State University
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Computing & Information Technology
. Academically, he is an active researcher with several ACM and IEEE publications in virtual and augmented reality and has recently published a book chapter in the Handbook for Augmented Reality (Springer). As a graduate student in the Graphics, Visualization, and Usability (GVU) Center at the Georgia Institute of Technology, he contributed to early research in the nascent field of self-harmonizing karaoke software. He currently serves as an Associate Professor in Computer Game Design and Development, teaching courses such as Computer Graphics (OpenGL), 3D Modeling and Animation, and Production Pipeline & Asset Management. He has served in a variety of capacities academically including Interim Department Head, Associate
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- Emerging Computing and Information Technologies
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- 2013 ASEE Annual Conference & Exposition
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Dhana Rao, Marshall University; Rajeev K Agrawal, North Carolina A&T University (Tech); Venkat N Gudivada, Marshall University
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Computing & Information Technology
professors at research-intensive universities, let alone faculty at teaching-intensiveuniversities and beginning student researchers. Assessing current advances in the field,developing a unified understanding of a subdiscipline, determining interesting problems to workon is a tedious, labor-intensive, and intellectually daunting task especially for beginning studentresearchers.In a related development, there has been increased emphasis and efforts to promote undergraduateresearch across universities and colleges in the country. For example, the Council onUndergraduate Research (CUR) is a national organization established to support and promotehigh-quality undergraduate students collaborative research with faculty.1 The NationalConferences on
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Lifang Shih, Excelsior College; Jane A LeClair, Excelsior College
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Computing & Information Technology
been met. This evidence can include term papers, tests,laboratory reports, homework or other class assignments, presentations given, and letters fromemployers or professors. The ITA is the most significant aspect of ensuring that programoutcomes are achieved by all graduates.The student must satisfactorily address each program outcome by developing appropriatelearning statements and providing supporting evidence. The learning statements for eachprogram outcome are graded on the following scale: 0 – Not Responsive to Outcome (Evidence not provided for relevant courses or experiences. Coursework and other examples not demonstrative of required knowledge. The student will need to improve the learning statement and/or supporting