Dynapad is a development environment designed to support research prototyping of multiscale workspaces. In this paper we describe applications designed to facilitate visual access to and spatial organization of digita...
详细信息
Dynapad is a development environment designed to support research prototyping of multiscale workspaces. In this paper we describe applications designed to facilitate visual access to and spatial organization of digital photo collections and personal libraries of PDF documents. The research objective is to explore a generalization of the notion of a "pile" as a foundation for a versatile suite of tools to provide unobtrusive assistance for organizing collections and other sensemaking activities. We detail the architecture underlying the applications, explain how it supports diverse functionality and interaction styles, and abstract a set of principles for designing spatial tools.
Authoring tools routinely include a timeline representation to allow the author to specify the sequence of animations and interactions. However, traditional static timelines are best suited for static, linear sequence...
详细信息
ISBN:
(纸本)1595930027
Authoring tools routinely include a timeline representation to allow the author to specify the sequence of animations and interactions. However, traditional static timelines are best suited for static, linear sequences (such MIDI sequencers) and do not lend themselves to interactive content. This forces authors to supplement their timelines with scripted actions which are not represented. Timelines also force frameaccuracy on the author, which interferes with rapid exploration of different designs. We present a redesign of the timeline in which users can specify the relative ordering and causality of events without specifying exact times or durations. This effectively enables users to "work rough" in time. We then implement a prototype and perform a user study to investigate its efficiency.
Recent work on intelligent tutoring systems has used Bayesian networks to model students' acquisition of skills. In many cases, researchers have hand-coded the parameters of the networks, arguing that the conditio...
详细信息
A community computer network facilitates civic participation by providing pervasive local resources online and by connecting people to local communication and discussion channels, public and non-profit organization le...
详细信息
A lot of researches on classifiers, which can perform well with a given set of feature vectors, have been done. However, researches on feature vectors, which extract better feature vectors automatically, have not been...
详细信息
Robust and accurate cancer classification is critical in cancer treatment. Gene expression profiling is expected to enable us to diagnose tumors precisely and systematically. However, the classification task in this c...
详细信息
ISBN:
(纸本)0769523447
Robust and accurate cancer classification is critical in cancer treatment. Gene expression profiling is expected to enable us to diagnose tumors precisely and systematically. However, the classification task in this context is very challenging because of the curse of dimensionality and the small sample size problem. In this paper, we propose a novel method to solve these two problems. Our method is able to map gene expression data into a very low dimensional space and thus meets the recommended samples to features per class ratio. As a result, it can be used to classify new samples robustly with low and trustable (estimated) error rates. The method is based on linear discriminant analysis (LDA). However, the conventional LDA requires that the within-class scatter matrix S/sub w/ be nonsingular. Unfortunately, S/sub w/ is always singular in the case of cancer classification due to the small sample size problem. To overcome this problem, we develop a generalized linear discriminant analysis (GLDA) that is a general, direct, and complete solution to optimize Fisher's criterion. GLDA is mathematically well-founded and coincides with the conventional LDA when S/sub w/ is nonsingular. Different from the conventional LDA, GLDA does not assume the nonsingularity of S/sub w/, and thus naturally solves the small sample size problem. To accommodate the high dimensionality of scatter matrices, a fast algorithm of GLDA is also developed. Our extensive experiments on seven public cancer datasets show that the method performs well. Especially on some difficult instances that have very small samples to genes per class ratios, our method achieves much higher accuracies than widely used classification methods such as support vector machines, random forests, etc.
Designing properly fitting industrial products for human wear requires full use of anatomical landmarks and the human form. To automatically extract information from point cloud data on the body surface obtained by a ...
详细信息
Designing properly fitting industrial products for human wear requires full use of anatomical landmarks and the human form. To automatically extract information from point cloud data on the body surface obtained by a 3D scanner, we propose deforming the standard shape model with landmarks into a measured shape of unknown landmark positions using free-form deformation. A check of the accuracy of this method confirmed it to be close to practical use.
In this paper, we argue firstly that researchers in critical computing should address the specific information and communication technology (ICT) needs and activities of those agencies concerned with emancipatory issu...
详细信息
Interest in context-aware computing has expanded the use of sensing technologies. The accelerometer is one of the most widely used sensors for capturing context because it is small, inexpensive, lightweight, and self-...
详细信息
ISBN:
(纸本)1595930892
Interest in context-aware computing has expanded the use of sensing technologies. The accelerometer is one of the most widely used sensors for capturing context because it is small, inexpensive, lightweight, and self-operable. In efforts to obtain behavioral patterns, many studies have reported the use of multiple accelerometers attached to the human body. However, this is difficult to implement in real-life situations and may not fully address the context of user interaction. In contrast, the present study employed a single tri-axial accelerometer attached to a handheld computing device instead of to a user. The objective was to determine what contextual information could be obtained from this more feasible, albeit limited, source of acceleration data. Data analyses confirmed that changes in both mobility and lighting conditions induced statistically significant differences in the output of the accelerometer. Copyright 2005 ACM.
Recently, the capsule endoscope has been developed to observe image from the inside intestine. Such a capsule endoscope does not have locomotion or hold by it self. To get proper diagnosis and meditation, it is necess...
详细信息
ISBN:
(纸本)0780393112
Recently, the capsule endoscope has been developed to observe image from the inside intestine. Such a capsule endoscope does not have locomotion or hold by it self. To get proper diagnosis and meditation, it is necessary to control capsule from outside to enable to guide locomotion. The designed and implemented capsule has feasibility to contracts the small intestine by electrical stimulus from stimulus pad. When the small intestine is contracted by electrical stimulus, the capsule can move to opposite direction which can boost moving speed of the capsule or change moving direction. The implemented stimuli capsule always monitors excessive energy transmit and automatically shut down electrical stimuli to make more secure. Also the stimuli capsule goes to stand by mode to save battery, and reset by comparator circuit which is connected to two stimulus pad. To verify the design and implement stimuli capsule, in-vitro experiments are performed with pig's small intestine.
暂无评论