DISCUSSION: AGRI INDUSTRIES

Agribusiness,

Observations of expert communicators in immersive virtual worlds: implications for synchronous discussion

With the increased interest in using Immersive Virtual Worlds (IVWs) such as Second Life to augment and amplify teaching or to develop communities of practice, the author engaged graduate students, all current K‐12 teachers, in a qualitative study to examine their attitudes about communicating for the first time in a virtual setting represented by an interactive avatar. This study sought to determine if students were able to discern degrees of expertise in other avatars by providing encounters with guests who had a significant amount of experience navigating in a virtual world. The study examined Second Life as a synchronous discussion tool for a higher education setting and finds it lacking in some respects, but is able to make recommendations about training instructors to exhibit behaviours that may inspire confidence while leading a class in such a setting

Peer-assessment of group work in a large class: development of a staff and student friendly system

No abstract available

Developing e-assessment using the quiz activity within Moodle: empowering student learning

Using formative assessment within Moodle has been shown to encourage self-directed learning (Bromham & Oprandi, 2006). Our experience of using formative assessment quizzes as stand alone entities, as well as within Moodle lessons, has been used to introduce Moodle assessment quizzes over the past year in Level 1 and Level 2 Life Sciences courses. This experience has been distilled to inform the content of this workshop. Some advantages of incorporating assessments in the form of Moodle quizzes are that they allow for quick, reproducible and flexible assessment with a relatively small initial set-up cost, and substantial long-term staff and administration savings. One significant advantage is that staff and room pressures can be reduced as students can attempt the assessment at a time and location of their choice within a specified time period. This flexibility can help to reduce student stress associated with completion of a continuous assessment for their course. It is also a relatively simple process to account for students entitled to extra time during assessments. Providing clear instructions beforehand and at the start of the quiz ensures that students understand their responsibilities for completion of this assessment and ultimately the course. There are some disadvantages and limitations to the system as it currently exists, for example there is the perceived ability for students to “cheat” by completing the assessment as a group, accessing books and the internet. Strategies to account for these can be put in place and will be discussed in detail during the workshop. This workshop aims to take the participants through the initial set up of a quiz, highlighting the various question types and how these can be used to create a challenging assessment that can be quickly graded and prove informative for staff and course development. Reference Bromham L. & Oprandi P. (2006) Evolution online: developing active and blended learning by using a virtual learning environment in an introductory biology course. Journal of Biological Education 41 (1): 21-25

An investigation of potential applications of OP-SAPS: Operational Sampled Analog Processors

The application of OP-SAP's (operational sampled analog processors) in pattern recognition system is summarized. Areas investigated include: (1) human face recognition; (2) a high-speed programmable transversal filter system; (3) discrete word (speech) recognition; and (4) a resolution enhancement system

Artificial neural network implementation of a near-ideal error prediction controller

A theory has been developed at the University of Virginia which explains the effects of including an ideal predictor in the forward loop of a linear error-sampled system. It has been shown that the presence of this ideal predictor tends to stabilize the class of systems considered. A prediction controller is merely a system which anticipates a signal or part of a signal before it actually occurs. It is understood that an exact prediction controller is physically unrealizable. However, in systems where the input tends to be repetitive or limited, (i.e., not random) near ideal prediction is possible. In order for the controller to act as a stability compensator, the predictor must be designed in a way that allows it to learn the expected error response of the system. In this way, an unstable system will become stable by including the predicted error in the system transfer function. Previous and current prediction controller include pattern recognition developments and fast-time simulation which are applicable to the analysis of linear sampled data type systems. The use of pattern recognition techniques, along with a template matching scheme, has been proposed as one realizable type of near-ideal prediction. Since many, if not most, systems are repeatedly subjected to similar inputs, it was proposed that an adaptive mechanism be used to 'learn' the correct predicted error response. Once the system has learned the response of all the expected inputs, it is necessary only to recognize the type of input with a template matching mechanism and then to use the correct predicted error to drive the system. Suggested here is an alternate approach to the realization of a near-ideal error prediction controller, one designed using Neural Networks. Neural Networks are good at recognizing patterns such as system responses, and the back-propagation architecture makes use of a template matching scheme. In using this type of error prediction, it is assumed that the system error responses be known for a particular input and modeled plant. These responses are used in the error prediction controller. An analysis was done on the general dynamic behavior that results from including a digital error predictor in a control loop and these were compared to those including the near-ideal Neural Network error predictor. This analysis was done for a second and third order system

A new crystal form of penicillin acylase from Escherichia coli

A new crystal form of penicillin acylase (penicillin amidohydrolase, E.C. 3.5.1.11) from Escherichia coli W (ATCC 11105) is reported. The crystals were grown using a combination of hanging-drop and streak-seeding methods. The crystals are in the monoclinic space group P2(1) with cell dimensions a = 51.52, b = 131.95, c = 64.43 Angstrom, beta = 106.12 degrees. There is one heterodimer in the asymmetric unit (Vm = 2.45 Angstrom(3) Da(-1)) and the solvent content is 49%. Preliminary data have been collected to d(min) = 2.7 Angstrom using a MAR Research image plate and a rotating-anode X-ray source. Subsequent experiments show diffraction beyond 1.3 Angstrom at a synchrotron radiation source

Real time flight simulation methodology

An example sensitivity study is presented to demonstrate how a digital autopilot designer could make a decision on minimum sampling rate for computer specification. It consists of comparing the simulated step response of an existing analog autopilot and its associated aircraft dynamics to the digital version operating at various sampling frequencies and specifying a sampling frequency that results in an acceptable change in relative stability. In general, the zero order hold introduces phase lag which will increase overshoot and settling time. It should be noted that this solution is for substituting a digital autopilot for a continuous autopilot. A complete redesign could result in results which more closely resemble the continuous results or which conform better to original design goals