ppxscal/embedding_network huggingface dataset:
Computers and composition in english studies: attitudes and issues concerning writing teachers and writing program administrators
Authors: Dwedor Morais Ford
Venue:  (2003)

This descriptive exploratory study investigates the status of Computers and Composition in English studies through the eyes of writing teachers and writing program administrators. I proffer that one significant way to determine where Computers and Composition stands in the profession was to rely on the expressed concerns and perceptions of willing participants from English/writing programs across the United States. As a result, generalizibility is limited to the concerns and perceptions about computer integration into composition as expressed by the participants. The Concerns-Based Adoption Model (CBAM), developed by Hall et al., provided a methodological framework for determining the concerns, attitudes, and experiences of people toward the use of instructional technology. The Stages of Concern Questionnaire (SoCQ) and the Change Facilitator Stages of Concern Questionnaire (CFSoCQ) components of the CBAM provided the vehicle for gathering data for this study. Data from the questionnaires, the open-ended questions, which provided triangulation, and the demographic/supplemental items added to the instruments yielded descriptive information to address the five research questions listed below: (1) What are the concerns of writing teachers about using computers for writing instruction? (2) What are the concerns of writing program administrators about using computers for writing instruction? (3) Are there significant differences in the Stages of Concern between writing teachers and writing program administrators? (4) What concerns appear most prevalent in preventing writing teachers from integrating computers for instruction? (5) What concerns appear most prevalent for encouraging writing teachers to integrate computers for instruction? Based on these questions, this study shows that despite the computer's entry into English studies almost 23 years ago, writing teachers have a tremendous desire to work with their colleagues and administrators to learn about the integration process. However, the actual integration process seems beset with problems from writing program administrators' preference for focusing on writing facilitation rather than on computer facilitation to logistical constraints&mdash;time, training, and support. This study seems to answer the question why only a few writing teachers have embraced the computer for pedagogical purposes.
Representing interests as a hyperlinked document collection
Authors: Michelle Fisher, Richard Everson
Venue: Proceedings of the twelfth international conference on Information and knowledge management (2003)

We describe a latent variable model for representing a user's interests as a hyperlinked document collection. By collecting hyper-text documents that a user views, creates or updates whilst at their computer, we are able to use not only the content of these documents but also the inter-connectivity of the collection to model the user's interests. The model uses Probabilistic Latent Semantic Analysis and Probabilistic Hypertext Induced Topic Selection and decomposes the user's document collection into a set of factors each of which represents a user's interest. This model can be used to personalise information access tasks such as a personalised search engine or a personalised news service. Our latent variable model's performance is compared with that of a more conventional vector space clustering algorithm.
A perceptual user interface for recognizing head gesture acknowledgements
Authors: James W. Davis, Serge Vaks
Venue: Proceedings of the 2001 workshop on Perceptive user interfaces (2001)

We present the design and implementation of a perceptual user interface for a responsive dialog-box agent that employs real-time computer vision to recognize user acknowledgements from head gestures (e.g., nod = yes). IBM Pupil-Cam technology together with anthropometric head and face measures are used to first detect the location of the user's face. Salient facial features are then identi ed and tracked to compute the global 2-D motion direction of the head. For recognition, timings of natural gesture motion are incorporated into a state-space model. The interface is presented in the context of an enhanced text editor employing a perceptual dialog-box agent.
Modeling medical diagnosis of headache, brain strokes and congential malformation
Authors: Shusaku Tsumoto
Venue: ACM SIGBIO Newsletter (1998)

One of the important problems of knowledge discovery in medicine is the comprehensibility of knowledge extracted from databases. This project aims at modeling medical experts' diagnosis and inducing rules similar to the experts, which makes induced results easy to interpret. Rough set based rule induction methods are applied to clinical databases on differential diagnosis of headache, brain strokes and congenital malformation. Experimental results show that knowledge which medical experts implicity use for their differential diagnosis are extracted in more explicit ways and several kinds of knowledge which experts did not expect were extracted.
A probabilistic fault model for analog faults
Authors: M. Favalli, P. Olivo, B. Riccó
Venue: Proceedings of the conference on European design automation (1991)

This work presents a probabilistic approach to the detection of analog faults (i.e. transistors stuck-on and bridgings) in CMOS circuits that depends on the conductances of faulty and fault-free networks. In particular, all condutances are considered as random variables with normal distribution. Conductance distributions of complex conflicting networks can be easily evaluated and the detection probability of each fault is determined. The expected coverage of analog faults is known at the end of a fault simulation. This result is shown to be more realistic than those obtained in a deterministic way.
An extension to a UML activity graph from workflow
Authors: Daniel Riesco, Edgardo Acosta, German Montejano
Venue: UML and the unified process (2003)

This chapter proposes an extension to the activity graph of the Unified Modeling Language (UML) to support the Workflow Management Coalition (WfMC) standard. The definition of a business process has been standardized by the WfMC with the purpose of satisfying the need of interaction and connectivity between process definition tools and different workflow systems. Here, the WfMC meta-model is explained. The UML activity diagrams, used for the business process modeling, support less detail than the WfMC standard. In this chapter, an extension of the UML's activity graph meta-model is proposed, and its formalization using the workflow meta-model is defined. The purpose of this chapter is to obtain an extension of UML to support the workflow process definition without changing the standard with the same expressive power as the WfMC. It increments the expressive power of the activity diagrams so that the business processes modeled with the UML notation can be executed by a workflow engine.
SystemC and SystemVerilog: Where do They Fit? Where are They Going?
Authors: Donatella Sciuto, Grant Martin, Wolfgang Rosenstiel, Stuart Swan, Frank Ghenassia, Peter Flake, Johny Srouji
Venue: Proceedings of the conference on Design, automation and test in Europe - Volume 1 (2004)

There is tremendous interest in design languages these days - and more particularly, SystemC and SystemVerilog. Sometimes the truth about design languages can be obscured by marketing and the press. This panel is meant to deepen the technical understanding of the DATE audience on the issue of design languages. It contains five technical experts - an academic expert in design languages and SystemC and SystemVerilog in particular; a language expert for each of SystemC and SystemVerilog; and a user expert for these two languages. The language experts have been heavily involved in the specification and evolution of their respective languages. The user experts have been heavily involved in developing use methodologies for these languages within their own design communities, and in applying them to real design problems. The panelists will consider the questions:what are the key capabilities of these languages and what do they offer to users?which design problems are they best used for? what is their scope?how has application of these languages to real design problems improved the productivity of designers and the quality of the design results?where should the languages develop further capabilities?
Glushkov Algebras and Clone Theory
Authors: G. E. Tseitlin
Venue: Cybernetics and Systems Analysis (2003)

This review is devoted to the clone theory, a promising trend in algebraic algorithmics, which takes its rise from fundamental results obtained by V. M. Glushkov. Glushkov algorithmic algebras are the prototypes of a number of algebraic specifications adequate to well-known programming paradigms and form an important and intensively developing direction of algebraic algorithmics. A family of one-type algebras, in particular, algebras of algorithms, forms a clone. In this review, grammatical and algorithmic clones are described and also applied algebras, which belong to different object domains, including humanitarian ones, are considered.
Interactive light field display from a cluster of projectors
Authors: Matt Steele, Christopher Jaynes
Venue: ACM SIGGRAPH 2003 Sketches Applications (2003)

We are developing a novel display system that physically realizes a sampling of the light field emitted by a three-dimensional scene. An array of projectors, each with a two-dimensional framebuffer, populates the 4D space of the light field. The view of the scene is simultaneously correct for all head positions within a volume. This eliminates the need for head tracking, produces binocular disparities without the need for glasses, and supports any number of viewers. Input to our display could be streamed from a light field sensor [1], or can be efficiently rendered in parallel using a cluster of standard computer graphics pipelines. For static scenes, no run-time rendering is necessary. We demonstrate the feasibility of the approach using a prototype cluster of projectors.
On the Test and Diagnosis of the Perfect Shuffle
Authors: L. Schianoand, F. Lombardi
Venue: Proceedings of the 18th IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems (2003)

In this paper, a new structural approach is proposed for the full diagnosis (with no aliasing and confounding) of shorts and stuck-at faults in the interconnect of a perfect shuffle. This approach utilizes graph coloring techniques to generate a test set based on the adjacencies in the largest necklace of the shuffle. The conditions for no aliasing and confounding as well as fault detection are presented at function of the largest short fault. For detecting stuck-at faults it is shown that a constant number of tests is required. A test generation algorithm with quadratic execution complexity in the size of the shuffle is proposed. This algorithm generates a test set which diagnoses a perfect shuffle of size N with no aliasing and confounding 0(log2(log2(N))) tests. The application of these results to multistage interconnection networks (MINs) is also presented; MINs can be constructed by cascading perfect shuffles and are characterized by switching operation. It is shown that constant testability of MINs can be still achieved for diagnosis under fault models which preserve the loop properties of the necklaces in a perfect shuffle.
Theory and practice in operating system design
Authors: R. M. Needham, D. F. Hartley
Venue: Proceedings of the second symposium on Operating systems principles (1969)

In designing an operating system one needs both theoretical insight and horse sense. Without the former, one designs an ad hoc mess; without the latter one designs an elephant in best Carrara marble (white, perfect, and immobile). We try in this paper to explore the provinces of the two needs, suggesting places where we think horse sense will always be needed, and some other places where better theoretical understanding than we now have would seem both possible and helpful.
On the Lock-in Probability of Stochastic Approximation
Authors: V. S. Borkar
Venue: Combinatorics, Probability and Computing (2002)

For a stochastic approximation-type recursion with finitely many possible limit points, we find a lower bound on the probability of converging to a prescribed point in its &lsquo;domain of attraction&rsquo;. This has implications for the lock-in phenomena in the stochastic models of increasing return economics and the sample complexity of stochastic approximation algorithms in engineering.
Image Navigation: A Massively Interactive Model for Similarity Retrieval of Images
Authors: Jaeyeon Lee, Se Yoon Jeong, Kyu Seo Han, Byung Tae Chun, Younglae J. Bae
Venue: International Journal of Computer Vision (2004)

The ultimate objective of image retrieval research is to improve the user experiences in dealing with images, which happens to be closely related not only to the retrieval accuracy but also to the way he/she interacts with the retrieval tools. In particular, recognizing the subjectivity inherent in the problem leads to more emphasis on active participation of humans. This paper proposes a new user-system interaction model in the context of similarity retrieval of images.In the proposed model, the interaction is pursued to the extreme so that it tries to help users to browse huge image space with ease and efficiency rather than to find a certain images automatically on behalf of users. The system dynamically reconstructs the view reflecting user commands, while the user continuously modifies his/her commands while seeing the constantly changing view. Here the user's command is called a hint to distinguish it from a query, which is also a representation of user intention, but in a more formalized and complete form. Hints include all the intermediary steps of the user intention description process. By reflecting the intermediary steps to the view immediately, users receive feedback information to modify their description. This gradual and evolutionary process has a huge advantage over traditional approaches, especially when the user intention itself is ambiguous, which is often the case in realistic situations.This paper also describes a simple and efficient multi-dimensional feature indexing algorithm as an enabling technology to ensure immediate response. The algorithm transforms multi-dimensional features to one or more scalar values, which are used for restricting the search space. The algorithm proved to be efficient in realistic situations by being tested on the implementation of the proposed model.
An Extended Multi-Agent Negotiation Protocol
Authors: Samir Aknine, Suzanne Pinson, Melvin F. Shakun
Venue: Autonomous Agents and Multi-Agent Systems (2004)

This article presents a task allocation protocol that is efficient in time and tolerates crash failures in multi-agent systems. The protocol is an extension of the negotiation protocol defined by Smith and Davis [25, 26] for task allocation. Our extension of the Contract Net Protocol (1) enables an agent to manage several negotiation processes in parallel; (2) optimizes the length of the negotiation processes among agents; (3) reduces the contractors' decommitment situations; (4) enables the detection of failures of an agent participating in a negotiation process and prevents a negotiation process with blocked agents.
Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining
Authors: Kang Peng, Slobodan Vucetic, Bo Han, Hongbo Xie, Zoran Obradovic
Venue: Proceedings of the Third IEEE International Conference on Data Mining (2003)

Predictive data mining typically relies on labeled datawithout exploiting a much larger amount of availableunlabeled data. The goal of this paper is to show thatusing unlabeled data can be beneficial in a range ofimportant prediction problems and therefore should be anintegral part of the learning process. Given an unlabeleddataset representative of the underlying distribution and aK-class labeled sample that might be biased, ourapproach is to learn K contrast classifiers each trained todiscriminate a certain class of labeled data from theunlabeled population. We illustrate that contrastclassifiers can be useful in one-class classification, outlierdetection, density estimation, and learning from biaseddata. The advantages of the proposed approach aredemonstrated by an extensive evaluation on synthetic datafollowed by real-life bioinformatics applications for (1)ranking PubMed articles by their relevance to proteindisorder and (2) cost-effective enlargement of adisordered protein database.
The doctoral program in computing and information sciences and engineering of the university of Puerto Rico
Authors: Jaime Seguel, Domingo Rodríguez
Venue: Future Generation Computer Systems (2003)

The doctoral program in Computing and Information Sciences and Engineering (CISE) of the University of Puerto Rico is a research and education program intended to form investigators and build the academic field of computing and informatics with a comprehensive, multidisciplinary and integrative view. The program is based on the premise that the impact of computing and informatics on science and engineering goes beyond the mere empowering of data analysis and simulation capabilities. Indeed, computing and informatics offer a new approach to discovery and engineering design, which we call the informatics approach. We believe that the philosophy and methodology of data representation and processing exerts a decisive influence on what can be achieved in science and engineering, and in the scope and quality of results. The doctoral program in CISE is intended to catalyze this approach as an academic discipline. This article describes the main features, driving forces, and projections of this doctoral program.
Intermediary's information seeking, inquiring minds, and elicitation styles
Authors: Mei-Mei Wu, Ying-Hsang Liu
Venue: Journal of the American Society for Information Science and Technology (2003)

The current research explores how intermediaries seek information from patrons, in particular by analyzing intermediaries' elicitation utterances through three dimensions--linguistic forms, utterance purposes, and communicative functions--to determine whether indeed any dimension appeared consistently, to be called "elicitation styles." Five intermediaries from four academic libraries (three national university libraries, one private university library) and one research institute library participated in the study. Thirty patrons with 30 genuine search requests were recruited; thus, 30 patron/intermediary information retrieval interactions making a total of 30 encounters were collected. Video/audio data were taped. Dialogues between patron and intermediary were transcribed. Statistical analysis revealed three types of elicitation styles among the five intermediaries, labeled, (1) situationally oriented, (2) functionally oriented, and (3) stereotyped. This study seeks an explanation for different elicitation styles. Qualitative analysis was applied to investigate "inquiring minds." An inquiring mind is termed to represent a mentality or tendency that one elicits certain threads of questions influenced by professional beliefs, individual characteristics, tasks, goals, and interactional contexts in conversation. The results of qualitative analysis specified three modes of inquiring minds of the intermediaries, namely: (1) information problem detection, (2) query formulation process, and (3) database instructions.
Compound Poisson Approximation for Dissociated Random Variables via Stein's Method
Authors: Peter Eichelsbacher, Małgorzata Roos
Venue: Combinatorics, Probability and Computing (1999)

In the present paper we consider compound Poisson approximation by Stein's method for dissociated random variables. We present some applications to problems in system reliability. In particular, our examples have the structure of an incomplete U-statistics. We mainly apply techniques from Barbour and Utev, who gave new bounds for the solutions of the Stein equation in compound Poisson approximation in two recent papers.
Gendered bodies, gendered knowledges: information technology in everyday farming
Authors: Lia Bryant
Venue: Social Science Computer Review (2003)

This article explores the body and its relation to occupational/professional knowledge to understand the gendering of work practices associated with use of personal computers (PCs) in Australian family farms. The central aim of the article is to expose the gendered interactions, understandings, and communications inherent in everyday work practices and consider how these shape relations of technology and gender. In-depth semistructured personal interviews held separately with farming women and men are used to explore relations between use of information technologies, gendered work practice, and sense of self as workers. The data demonstrate that the performative aspects of masculinity result in the appropriation of knowledge by men that genders PC use and reproduces gender hierarchies in farming.
A robust header compression technique for wireless Ad hoc networks
Authors: Ranjani Sridharan, Ramalingam Sridhar, Sumita Mishra
Venue: ACM SIGMOBILE Mobile Computing and Communications Review (2003)

Due to the limited bandwidth of the wireless links in ad hoc networks, compressing the packet headers is an attractive method for efficient usage of the frequency spectrum and for performance enhancement. The objective of this work is to demonstrate the use of a novel end-to-end header compression technique for multi-hop wireless ad hoc networks. Our preliminary analysis shows a significant performance improvement when the proposed Routing-Assisted Header Compression (RAHC) technique is implemented in conjunction with conventional on-demand routing techniques for ad hoc networks.
An exploratory cognitive DSS for strategic decision making
Authors: Jim Q. Chen, Sang M. Lee
Venue: Decision Support Systems (2003)

Research on decision support systems (DSS)/executive information systems (EIS) has been primarily concerned with the behavioral aspect of managerial work and has largely ignored the cognitive aspect of decision support. Rather than focusing on the manager's information need on "critical success factors" and the need for supporting specific decision making, this research emphasizes the need to support the decision maker's general thinking processes to reduce cognitive biases in decision making. This paper reports the design, development, and exploratory assessment of a prototype cognitive decision support system (CDSS).
A computer-animated tutor for spoken and written language learning
Authors: Dominic W. Massaro
Venue: Proceedings of the 5th international conference on Multimodal interfaces (2003)

Baldi, a computer-animated talking head is introduced. The quality of his visible speech has been repeatedly modified and evaluated to accurately simulate naturally talking humans. Baldi's visible speech can be appropriately aligned with either synthesized or natural auditory speech. Baldi has had great success in teaching vocabulary and grammar to children with language challenges and training speech distinctions to children with hearing loss and to adults learning a new language. We demonstrate these learning programs and also demonstrate several other potential application areas for Baldi®.