This paper contains a description of MODeLeR, a Multimedia Object Design Learning Resource. The impetus for the creation of MODeLeR was to provide an authentic learning environment for the study of object-oriented des...
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ISBN:
(纸本)1581137982
This paper contains a description of MODeLeR, a Multimedia Object Design Learning Resource. The impetus for the creation of MODeLeR was to provide an authentic learning environment for the study of object-oriented design to augment intermediate level programming classes. The Resource affords active, collaborative learning experiences in object modeling with the goal of helping students to gain design capabilities in UML and to appreciate the need for design that they often do not perceive since the programs they write are relatively small. Students typically create several different UML diagrams. This paper describes the MODeLeR environment and a pilot study in its use. This paper contains results of both a quantitative study and a qualitative evaluation of the Resource. Copyright 2004 ACM.
In this paper, we propose a new method to generate modular structures. In the method, the number of elements, that is, the number of competitive units is gradually increased. To control a process of module generation,...
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In this paper, we propose a new method to generate modular structures. In the method, the number of elements, that is, the number of competitive units is gradually increased. To control a process of module generation, we introduce two kinds of information, that is, unit and modular information. Unit information represents information content obtained by individual elements in all modules. On the other hand, modular information is information content obtained by each module. We try to increase both types of information simultaneously. We applied our method to two classification problems: random data classification and Web data classification. In both cases, we observed that modular structures were automatically generated.
In this paper, we propose a new computational method for a network-growing method called greedy network-growing [R. Kamimura, et al., (2002)]. We have so far introduced a network-growing algorithm called greedy networ...
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In this paper, we propose a new computational method for a network-growing method called greedy network-growing [R. Kamimura, et al., (2002)]. We have so far introduced a network-growing algorithm called greedy network-growing based upon information theoretic competitive learning. For competitive unit outputs, we have used the inverse of the squares of Euclidean distance between input patterns and connections. The algorithm has extracted very faithful representations of input patterns. However, one problem is that learning is very slow, and sometimes ambiguous final representations are obtained. To remedy these shortcomings, we introduce a new activation function, that is, Gaussian activation functions for competitive units. By changing a parameter for the Gaussian activation functions, we can build a network that does not focus on faithful representations of input patterns, but try to extract the main characteristics of input patterns. Because this method are not concerned with detailed parts of input patterns, learning is significantly accelerated and salient features should be extracted. We applied the method to a road classification problem. Experimental results confirmed that learning was significantly accelerated and salient features could be extracted.
We describe the design of a modular system for untethered real-time kinematic motion capture using sensors with inertial measuring units (IMUs). Our system is comprised of a set of small and lightweight sensors. Each ...
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Interviews of twenty-six Industrial Engineering students and graduates were conducted during the first year of a three year study of the unexpected attainment of gender parity in the School of Industrial Engineering a...
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Interviews of twenty-six Industrial Engineering students and graduates were conducted during the first year of a three year study of the unexpected attainment of gender parity in the School of Industrial Engineering at the University of Oklahoma (OU). An analysis of the pattern of participant responses gives insight into industrial engineering (IE) student perceptions of IE. The perceptions were grouped into three broad themes: Career Profile, Discipline Profile, and Discipline Meta-Profile. The Career Profile includes the availability of multiple career paths and flexible careers in this discipline in addition to the potential for the attainment of status through entry into management. People-oriented, broad, and systems-oriented are terms that were used to describe the Discipline Profile. Discipline Meta-Profile is used to describe the participant's perception of other people's perceptions of industrial engineering (i.e. what IE students think other people think). These participants felt that other engineers think of IE as easy, or "imaginary" engineering. The participants also thought that the discipline is invisible, even to other engineers. While the meta-perception of IE might seem to be problematic for the discipline, many of the participants reject the meta-perception. Some participants recognized that IE's focus on people and systems is simply different than other engineering disciplines, not necessarily easier. Other participants felt the potential to enter into management outweighed the discipline meta-perception. One student summarized the response particularly well when he noted that IE is "inviteful" engineering.
We developed a voice guidance system that increases-mobility for visually impaired people. We use infrared communication technology called Compact Battery-less Information Terminals. The user-friendly information term...
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In a multimodal conversation, the way users communicate with a system depends on the available interaction channels and the situated context (e.g., conversation focus, visual feedback). These dependencies form a rich ...
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The present research focuses on the development of an intelligent, computer-based tutoring model for selecting problems in domains where multiple skills are needed to solve a problem and the reasons for errors are not...
The present research focuses on the development of an intelligent, computer-based tutoring model for selecting problems in domains where multiple skills are needed to solve a problem and the reasons for errors are not easily diagnosed. In this paper we report on the development and evaluation of the Mental Rotation Tutors and the intelligent models driving the problem selection engine or “domain reasoner”. The domain reasoner evaluated each student based upon seven different core skills and chose the next problem based upon the student's level of proficiency in all seven areas. Two versions of the tutor were developed. The first versions targeted improving the student's ability to infer what combination of rotations were required to go from one view to another. The second version targeted improving the student's ability to apply a provided set of rotations to an object and report the final orientation. The results of two successive experiments demonstrated that students with low spatial ability derived the most measurable benefit from interacting with the tutors. The tutors also successfully diagnosed students' skill levels and provided problems that were appropriate to each student's current level of proficiency.
We describe the design of a modular system for untethered real-time kinematic motion capture using sensors with inertial measuring units (IMU). Our system is comprised of a set of small and lightweight sensors. Each s...
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We describe the design of a modular system for untethered real-time kinematic motion capture using sensors with inertial measuring units (IMU). Our system is comprised of a set of small and lightweight sensors. Each sensor provides its own global orientation (3 degrees of freedom) and is physically and computationally independent, requiring only external communication. Orientation information from sensors is communicated via wireless to host computer for processing. We present results of the real-time usage of our untethered motion capture system for teleoperating the NASA Robonaut. We also discuss potential applications for untethered motion capture with respect to humanoid robotics.
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