. [5] M. Down, J. McDonald, J. Schun, “The Art of Software Assessment”,to detect the stack overflow. Addison Wesley, 2007, ISBN 13:978-0-321-44442-4 -The application that creates a large number of threads will [6] R. Seacord “Secure Coding in C and C++”, Addison Wesley, 2013, ISBN-include a Guard Page for each thread stack, which potentially 13:978-0-321-82213-0.results in the wasted system resources. [7] David Evans and David Larochelle. Improving security using extensible lightweight static analysis. IEEE Software, 19(1):42–51, 2002. -Including Guard Pages between stack frames makes this
. [6] R. Deckers, A. Yudina, LC. Cardoit and CT. Moonen, “A fluorescent chromophore TOTO-3 as a 'smart probe' for the assessment of ultrasound-mediated local drug delivery in vivo,” Contrast Media Mol Imaging, vol.6, pp.267-274, 2011. [7] J. Rogowska, K. Preston, G.J. Hunter, L. M. Hamberg, K. K. Kwong, O. Salonen, and G.L.Wolf,” Applications of
myself as a personal barometer to assess if we As an environmental engineering intern on Pease Air were being thorough with our explanations of drawings. TheForce Base this past summer, there were some days when I locations where I got lost or confused, we assumed a typicalwould find myself sifting through hundreds of old reader would encounter a similar response. When readingconstruction drawings looking for one specific detail, like guides and looking at 2-D pictures I often found that Ithe floor thickness in a hangar. As I would filter through would get confused and did not know what part of thethese documents, sometimes I would not even know if I was picture was being
workshop production, references[6-8] proposed modular Lean Abstract—An kind of operation optimization model is put production organizations to support the process. Based on theforward on the basis of analyzing manufacturing system principle of modular Lean Production, they analyzed thecharacteristics with consideration of optimization. The Features organizational model of the lean production in depth, proposedof the model are real-time, dynamic, multi-objective and the assessment means for the level of the production model.multistage. The algorithm called ‘Harmonizing Cluster Results’ Ranky, Paul G[9] studied the balance coordination algorithm infor the model
interactions between the users and the four main entities and two user ends as shown in the figure.environment and for the visualization of spatially these entities are remote lab, well-equipped lab, web-serverreferenced/distributed data [6]. In the following section, we and cloud database. Two users are local faculty and seniordescribe some related projects that have addressed the issue faculty. There are two versions of this application. Thisof context awareness to support science learning. application is different for students and faculty. Stanford Mobile Inquiry-based Learning This section presents the overall systemEnvironment (SMILE) is basically an assessment
similar to those III. SYSTEM OVERVIEWextracted by humans and can be rapidly and easily A. System Architectureinterpreted by users to assess the situation. In [6] also We constructed two mobile robots for this research basedpropose a technique called ARIEL, which is a mobile robot on DFRobotShop Rover V2-Arduino Compatible Trackedsystem that combines frontier based exploration with Robot from RoboShop. The robot was fitted with a Seeedcontinuous localization. A similar technique was also used in Ultrasonic Sensor, a distance measuring module and a[7], the Autonomous Intelligent Knowledge-building Bluetooth/XBee communication device. The
problem of the day that would be viewed on one of the two screens and/or the classroomprojector or LCD monitors. The professor can use both monitors to display a photo (or video) of thesystem, device, or phenomenon while covering the theoretical and mathematical model principles on theother screen.Outcomes AssessmentWe will be measuring the impact of this new classroom and changes in pedagogy for courses offered inthis classroom versus courses taught in a traditional format. We have collected a significant amount ofhistorical data for the freshman engineering problem solving course in the past. We will be collectingcomparative data for assessment of student learning outcomes. This information and results will bereported in future
, D. and Pfirman, S., Women in interdisciplinary science: Exploring preferences and consequences. Research Policy, 2007. 36(1): p. 56-75.[19] Steinke, J., et al., Assessing media influences on middle school-aged children's perceptions of women in science using the Draw-A-Scientist Test (DAST). Science Communication, 2007. 29(1): p. 35-64.[20] Hakim, C., Women, careers, and work-life preferences. British Journal of Guidance & Counselling, 2006. 34(3): p. 279-294.[21] Joshi, K.D. and Kuhn, K.M., What it takes to succeed in information technology consulting: Exploring the gender typing of critical attributes. Information Technology & People, 2007. 20(4): p. 400-424.[22] Shanahan, B. A Climate for
stationarycharacters, actual play time still advances—thus, the term temporal added to game state5 to distinguishfrom other properties (e.g., spatial).Figure 2 presents one way to visualize TGS. As time advances, some measure or assessment can representthe game state at any particular time, or G(t). This measure can include any aspect of the game’scomponents (e.g., location, attributes, score). state G(t) time Figure 2. Temporal Game State 3Although shown as continuous, G(t) is typically discrete, especially given
Education Statistics, Institute of Education Statistics, 2006) (National Center forEducation Statistics, Institute of Education Statistics, 2006)Comparing Rhode Island to the nation presents a somewhat similar picture. Performance metrics acrossthe board fall under the national averages for all fourth and eighth grade measures. More dramatic arehigh school assessments with 50% (29) of the 58 high schools in Rhode Island categorized as “notmaking adequate yearly progress.” (Rhode Island Department of Education, 2008) Table 2 presents anoverview of key indicators among Rhode Island students. Table 2 – 2007 Performance and Proficiency Measures for Rhode Island Students Compared to U.S. Averages
discovery from data and cyber physical systems. In the current digitalgeneration, large volumes of data are collected in various forms in different endeavors related to business,science, engineering and biomedicine, among others. There is a need to make sense of the voluminousdata for assessing the current status of the system and detecting an early indication of any possibledeterioration of the system health. CI techniques are ideal for such applications as tools of knowledgediscovery from data or in short, data to knowledge for complex and often apparently intractable systems.There is another kind of situation where the systems have to act proactively in view of the predictedsystem status in an unknown, uncertain and changing environment leading
experimental data to design a biodiesel processing plant and finally assess the sustainability of the process. The 7-‐week freshman mini project was presented as a combination of lectures and in-‐class group exercises on various aspects on biofuel production and sustainability. Hands-‐on laboratory experiments on biodiesel synthesis and characterization, analysis on energy usage and heat transfer of the synthesis process, and
20 29 61 38Program (13.51%) (19.59%) (41.22%) (25.68%) 148No Summer 35 33 208 209Program (7.22%) (6.88%) (42.89%) (43.09%) 485 At the end of each summer program, the students are given an evaluation form and exitsurvey. The evaluation form is used to assess three things: their interest in mathematics, theoverall program, and to get comments and recommendations for the online course. 90% thestudents indicate that the weekly Saturday meetings are very helpful because they allow them toobtain personal tutoring and
. Piper, C.E. Wick, B.E. Bishop, “Systems Ball – A Creative Capstone Design Experience,” ASEE/IEEE Frontiers in Education Conference, 2001.[7] K. Nasr, B. Ramadan, “Implementation of Problem-Based Learning into Engineering Thermodynamics,” Proceedings of the 2007American Society for Engineering Education Annual Conference & Exposition, 2007.[8] N. Dukhan, M. Jenkins, “Student/Teacher Role Swap in Heat Transfer,” Proceedings of the 2007 American Society for Engineering Education Annual Conference & Exposition, 2007.[9] R. Ross, P Venugopal, “Inquiry-Based Activities in a Second Semester Physics Laboratory: Results of a Two-Year Assessment,” Proceedings of the 2007 American Society for
show that the forum was very successful on an immediate short termassessment. In long term, we will be assessing its impact. We are working on further improvingthe contents and delivery and reach out wider area schools. The discussions at the Forum alsorevealed a critical need for involving high school guidance in future forums. SERVICE LEARNINGService-Learning (SL) is an educational method and practice of teaching by which participantslearn and develop through active participation in services that meet the needs of the community.A project was undertaken with collaboration the College of Liberal Arts in getting involved inthe Northeast Neighborhood Alliance (NENA) NENA-RIT 2006 Summer Learning Community.A
the southwestUnited States. Something has to be done to find out what is going on and make some changes sothe product does what is expected of it, no matter where it is used.” Doing a typical “canned”campus lab experiment would not be particularly helpful preparation for this situation.Why Not have Open-ended ExperimentsOpen-ended experiments can be a real problem for students who have difficulty assessing asituation and making a decision about it. Thus they will spend more time than appropriate forthe credit value of the course just coming up with a test procedure. Other students are theopposite and will just charge forth with the first thing that comes to their mind in terms of aprocedure and will then spend many hours haplessly executing
large share of studio time is dedicated to work periods. It is assumed that students will come to studio prepared with the proper materials and work independently. Students must continuously analyze, assess, and adjust their designs while working on them. Thus, this activity requires great concentration. Professors must maintain a disciplined demeanor in studio to foster student pro
thereis a publishable paper in the term project results.Stevens also conducted its standard quantitative student assessment. Admittedly the sample sizeis small, but the students almost unanimously felt that they had achieved all of the coursespecific learning goals. On some of the questions asked of all CAL courses, however, we didless well. For example, only 60% of the students responded positively to the question, “ Did thecourse increase your awareness of the ethical responsibility…of your future profession?’Although as we stated above and in our previous papers we fell that history is a broader approachto social impact than ethics, if students are going to take a limited number of humanistic coursesthe ethical component needs to be addressed
frommeasurement of either the frequency or step response data. This lab allows students to make theconnection between the concepts of first order modeling in the control system classroomlectures2 and ultimately, apply them in the laboratory to the real world systems.Students in this lab demonstrate achievement of numerous a-k ABET criteria. The followingABET outcomes can be assessed in this lab:a. “An ability to apply knowledge of mathematics, science, and engineering.”b. “An ability to design and conduct experiments as well as interpret data.”d. “An ability to function on multidisciplinary teams.”e. “An ability to identify, formulate, and solve engineering problems.”g. “An ability to communicate effectively,” by preparing a formal report.k. “ An ability
neighbor knowledge to generate an alert packet. Hoang and Namsuggested that the two routing rules make the monitoring system more suitable. Thus, the firstrule is to determine if the destination node forwards the packet along the path to the sink. Itgenerates an alert packet with the malicious factor α to the sender/source node. The second rulegoverns that the monitor node waits and detects the packet that was already forwarded along thepath to the sink. It verifies the two-hop neighbor knowledge to assess whether the destinationnode is on the right path to the sink. If not, it generates an alert packet with the malicious factor βto the sender/source node.Pr oposed SystemIn wireless sensor networks, several nodes transfer sensor readings to the
, Application of a level set method for simulation of droplet collisions, Int. J. of Multiphase Flow, 31 (2005) 1015-1035. 14. Y. Guo, L. Wei, G. Liang, S. Shen, Simulation of droplet impact on liquid film with CLSVOF, Int. Communications in Heat and Mass Transfer, 53 (2014) 26-33. 15. K. Yokoi, D. Vadillo, J. Hinch, I. Hutchings, Numerical studies of the influence of the dynamic contact angle on a droplet impacting on a dry surface, Physics of Fluids, 21 072102 (2009). 16. B.H. Bang, S.S. Yoon, H.Y. Kim, S.D. Heister, H. Park, S.C. James, Assessment of gas and liquid velocities induced by an impacting liquid drop, Int. J. of Multiphase Flow, 37(2011) 55-66. 17. Y. Tanaka, Y. Waashio, M. Yoshino, and T
Proceedings of 2014 Zone 1 Conference of the American Society for Engineering Education (ASEE Zone 1) An Opportunistic Frequency Channels Selection Scheme for Interference Minimization Syed Rizvi, Khaled Elleithy, and Mustafa Khan TM Abstract—This paper presents a solution to resolve the interference problems between the Wi-Fi TM and Bluetooth wireless technologies. A new channel selecting approach is being used to select the frequency channel. The signal strength in a channel is assessed, and that value is used to
effectively and in a timely manner to resolve numerous issues. Beyond basice-mail, the use of PolyCom continues to be a major arena for communication. Faculty and studentsroutinely meet to discuss ideas as well as progress on various projects. This virtual face-to-facecommunication helps not only to solve problems, but also to build mutual understanding but and asense of community. The ability to find common times to meet and communicate has been a formidable taskgiven the diversity of schedules across each campus. The major advantage of CMCC is that theirfaculty meet throughout the week, making them easily assessable. Unfortunately, eveningcommunication is difficult. The use of a VIP Calender that displays faculty schedules is
friendly VII. ASSESSMENT THE SOFTWARE IMPORTANCE interactive while input data 4.52 3-5 Results drawn by software explains the nature Two methods were conducted to evaluate the importance of of structural dynamics 4.81 3-5the proposed software as a tool in teaching the courses dealing I advise my colleagues in other universities towith Structural Dynamics and Earthquake. They are: use this software as a guide in studying dynamics of structures and earthquake 1- Comparing the students’ results
. D. Hey, pp. 453–477, John Wiley, Hoboken, N. J.[2] Rickenmann, D. (1997). “Sediment transport in Swiss torrents”. Earth Surface Processes Landforms, 22, 937– 951.[3] Yager, E.M, J. W. Kirchner, and W. E. Dietrich. (2007). “Calculating bed load transport in steep boulder bed channels”. Water Resources Research, Vol. 43, wW07418, doi:10.1029/2006WR005432[4] Boyd, John S. (2012). “Improving sediment transport predictions and assessing its impacts on aquatic habitat using field instrumentation and flume experiments.” A thesis presented in partial fulfillment of the requirements for the degree of Master of Science with a major in Water Resources, University
[20]. must assess each model. In the modeling phase, a frequent exchange with the domain experts from the data preparation 2) Problem Definition phase is required. [7] p. 3” After completing the data exploration and preparation phases, “A data-mining project starts with the understanding of the data mining experts can start the modeling phase by selectingbusiness problem. Data mining experts, business experts, and modeling techniques and defining the columns of data neededdomain experts
centers as shown in Fig. 1, chilledComputational fluid analysis (CFD) was used to predict the flow air from the computer room air conditioning (CRAC) units ischaracteristics in a data center for 12 designs. The CFD simulation blown into the underfloor plenum, which then enters the roomresults were further used to assess the data center performance through the perforated floor tiles. After taking away the heatand energy consumption metrics, such as rack cooling index generated by rack servers, the air leaves the room through(RCI), index of mixing (IOM), beta index (β), and energy ceiling plenum and returns to the CRAC to be chilled [5].utilization
data. So, this group of questionsbroader participation in the creative process. However, this shift deals with the art definition and authorship considerations inalso prompts questions about artistic ownership, audience A.I.-generated art. There are implications that if artworks do notengagement, and the evolving role of human creativity in an AI- have an emotional bond with their authors or art does not mimicassisted world [17]. As AI continues to develop, institutions and the state of mind, artificially generated art does not exist as suchartists must critically assess how it shapes the future of artistic and cannot evoke empathy.practice and cultural production
from the Course Evaluations provided at the end of eachterm showed learning achievement at a very high level. At the exit interview almost all studentspraised the course as the one that gave them the confidence they needed to enter the job market,and lastly for Program Outcome assessment alumni expressed that although they may have usedsome of the subjects that they learned at school in their various jobs, they have mostly benefited Proceedings of the 2015 American Society for Engineering Education Pacific Southwest Conference Copyright © 2015, American Society for Engineering Education 300from the experience of
value. The assessment is based on existing criteria with spatialanalysis used to build up model for low, medium and high collapse potential.Key words: Map, variogram, kriging, collapsing, soil.IntroductionUnderstanding the spatial distribution of data from phenomena that occur in space constitute agreat challenge. Due to availability of high speed computing system such studies are becomingcommon in almost every field of study, such as health, environment, geology, engineering, andmany others. Besides visual perception of the spatial distribution of the phenomenon, the analysisis useful to translate the existing patterns in to objective and measureable quantities by estimatingparameters at an unknown location. Since the emphasis of spatial