This session relates directly to this year's conference theme Sparking Synergies: Bringing Research and Practice Together as it brings together researchers from different disciplines (information science and educa...
This session relates directly to this year's conference theme Sparking Synergies: Bringing Research and Practice Together as it brings together researchers from different disciplines (information science and educational technology) to discuss current issues and trends related to Web usage across student populations. “Complex design problems require more knowledge than any single person possesses” (Arias, Eden, Fischer, Gorman, and Scharff, 2000, p. 84), thus each panelist will contribute highlights of his or her current research regarding the design, information, and pedagogical, needs of specific student populations (K-12 to higher education). After the panelists have presented their findings Diane Nahl will intertwine the threads of the panelists' conversations and, with the audience's assistance, begin to weave a fabric to uncover common usability issues.
This paper presents an analysis of the applicability of Sparse Kernel Principal Component Analysis (SKPCA) for feature extraction in speech recognition, as well as, a proposed approach to make the SKPCA technique real...
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A scenario is envisaged in which agents have tasks to perform and are in a position to exchange tasks to improve their performance, and thus perhaps affect the overall performance of the system. Our model uses two com...
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A scenario is envisaged in which agents have tasks to perform and are in a position to exchange tasks to improve their performance, and thus perhaps affect the overall performance of the system. Our model uses two computing machines with their usual resources, and with random initial jobs to be processed. Their performance is dependent not only on absolute total load but also on how much of each machine's resources are in demand, thus giving scope for the beneficial exchange of jobs. This paper describes the development of a negotiation mechanism for job exchange between machines and measurement of system performance. The concept may be extended to multiple machines that act as agents exchanging resources and tasks.
We envisage a scenario where a system of network computer initially with random loads, exchange jobs to balance load among themselves to enhance their individual performance and to provide augmented quality of service...
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We envisage a scenario where a system of network computer initially with random loads, exchange jobs to balance load among themselves to enhance their individual performance and to provide augmented quality of service (QoS) to the user community. We model the individual machines as agents interacting with one another. The agents have beliefs and aspirations. The aspiration of an agent is seek load from other, when it did not have enough to begin with, and sheds the same of it finds itself excessively loaded. This paper develops the concept with a design of a utility function to reflect the agent aspiration. We also propose a measure of load imbalance between networked machines. Negotiation mechanism is developed for exchange of jobs between agents. We report our result of the simulation with two machines and extend the same for three machines. The extension of the idea to a large number of machines entail coming to term with complexity in form of administrative overloads. We discuss the "small word" concept in the content of a simulation massively large number of machines interconnected.
We consider the issue of designing a generic transport layer protocol for energy-constrained sensor networks. We present the requirements for such a transport protocol and propose sensor transmission control protocol ...
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We consider the issue of designing a generic transport layer protocol for energy-constrained sensor networks. We present the requirements for such a transport protocol and propose sensor transmission control protocol (STCP). STCP is a generic, scalable and reliable transport layer protocol where a majority of the functionalities are implemented at the base station. STCP offers controlled variable reliability, congestion detection and avoidance, and supports multiple applications in the same network. We present the design and implementation of STCP and evaluate the protocol with different scenarios and network characteristics.
Markov random field (MRF) theory has widely been applied to segmentation in noisy images. This paper proposes a new MRF method. First, it couples the original labeling MRF with a boundary MRF that can help improve the...
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Markov random field (MRF) theory has widely been applied to segmentation in noisy images. This paper proposes a new MRF method. First, it couples the original labeling MRF with a boundary MRF that can help improve the performance of segmentation. Second, the boundary model is general and does not need prior training. Third, unlike existing related work, our model offers more compact interaction between the two MRFs. Experiments on synthetic images and real clinical datasets show that the proposed approach is able to produce good segmentation results, especially removing noise in low signal-to-noise ratio regions.
The Engineering Games at UnicenP began in 1999 and, in 2004, the 6 th edition had the participation of approximately 600 students, freshmen and sophomore, from the Civil, computer, Electric and Mechanical Engineering ...
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Active learning enables learners to actively engage in learning. Learning not only transfers material to students for learning, but also encourages greater mental engagement and more extensive student-student and stud...
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There are many different terms when learner surf on web. When learner is reading an instructional material, he/she may not understand the meaning of specific term/keyword in a moment easily. At this time, the learner ...
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There are many different terms when learner surf on web. When learner is reading an instructional material, he/she may not understand the meaning of specific term/keyword in a moment easily. At this time, the learner will need to find out the definitions or references about the keyword. However, unfortunately, the learner will not be able to find out what he/ she is looking for in the most of time. It is because of the instruction designers of the learning materials who had never thought that would be a problem for learners. Therefore, it will be excellent, if the associated documents with the keyword which is the learner looking for could be retrieved automatically, and furthermore, the original document structure could be reconstructed to a more suitable for learning and reading in real-time. In this paper, the graph theorem and the data mining technique are applying to produce an association lattice of keywords and design a searching algorithm of reconstructing the necessary instructional materials on the website automatically.
One of the largest barriers to learning programming is the precise and complex syntax required to write programs. This barrier is a key impediment to the integration of programming into the core curriculum of general ...
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ISBN:
(纸本)1595930248
One of the largest barriers to learning programming is the precise and complex syntax required to write programs. This barrier is a key impediment to the integration of programming into the core curriculum of general high school science courses - there is not enough time to learn both syntax and programming in a three-week course module. The newly developed "Iconic programmer" allows executable programs to be written through mouse clicks and menus, includes symbol by symbol translation into Java and Turing, and comes complete with a three-week lesson plan suitable to new programmers. To date, the new tool has been used effectively with full-semester, introductory programming courses at both the university and high school level. Copyright 2005 ACM.
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