ppxscal/embedding_network huggingface dataset:
A computational model for spatial expression resolution
Authors: Andrea Corradini
Venue: Proceedings of the 9th international conference on Multimodal interfaces (2007)

This paper presents a computational model for the interpretation of linguistic spatial propositions in the restricted realm of a 2D puzzle game. Based on an experiment aimed at analyzing human judgment of spatial expressions, we establish a set of criteria that explain human preference for certain interpretations over others. For each of these criteria, we define a metric that combines the semantic and pragmatic contextual information regarding the game as well as the utterance being resolved. Each metric gives rise to a potential field that characterizes the degree of likelihood for carrying out the instruction at a specific hypothesized location. We resort to machine learning techniques to determine a model of spatial relationships from the data collected during the experiment. Sentence interpretation occurs by matching the potential field of each of its possible interpretations to the model at hand. The system's explanation capabilities lead to the correct assessment of ambiguous situated utterances for a large percentage of the collected expressions.
A New Fuzzy Entropy for Intuitionistic Fuzzy Sets
Authors: Guo-shun Huang
Venue: Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 01 (2007)

Fuzzy entropy is an important concept of intuitionistic fuzzy sets (IFSs). In this paper, the resources of the entropy of an intuitionistic fuzzy set are analyzed. It is pointed out that the fuzzy entropy of an IFS comes from uncertainty and unknown information. A new formula is proposed and some numerical examples are given to compare it with the existing methods. It is found that conditions proposed by Szmidt and Kacprzyk are just necessary properties an entropy measure should possess. 1.
Collaborative information seeking: A field study of a multidisciplinary patient care team
Authors: Madhu C. Reddy, Patricia Ruma Spence
Venue: Information Processing and Management: an International Journal (2008)

Multidisciplinary teams are an essential aspect of modern organizational work. These teams often work in information-rich environments but little is known about their collaborative information seeking (CIS) behavior. We have been studying the CIS behavior of teams in the context of medical care. We conducted an ethnographic field study of a multidisciplinary patient care team in an emergency department to identify (a) team information needs and (b) situations that trigger collaborative information seeking activities. We identified seven categories of information needs as expressed by questions asked by team members. The majority of questions focused on medical information, but there were a larger than expected percentage of questions focusing on organizational information. We also identified three triggers for CIS activities. These triggers are: (1) lack of expertise, (2) lack of immediately accessible information, and (3) complex information needs. The questions and triggers highlight the importance of face-to-face communication during CIS activities and how CIS activities could lead to interruptive workplaces. We also discuss organizational and technical implications for supporting CIS behavior of teams.
The ATM Forum: wireless ATM working group meeting in Berlin (April, 20 -- 23, 1997)
Authors: Bala Rajagopalan
Venue: ACM SIGMOBILE Mobile Computing and Communications Review (1998)

In the February meeting in Los Angeles, the WATM working group was embroiled in a rather unproductive debate on the signaling mechanisms for handover at the network edge, i.e., between the mobile terminal and the edge switch. The debate was in determining the role of radio layer signaling in accomplishing handover of ATM connections. Some participants actually suggested eliminating any ATM layer signaling related to handover at the UNI, based on rather poorly conceived notions of efficiency. These arguments essentially blocked progress in consolidating the partially developed ATM handover signaling model in the baseline specifications. Thus, little progress was made in the February meeting in advancing the Release 1.0 specifications.
Mutant Minimization for Model-Checker Based Test-Case Generation
Authors: Gordon Fraser, Franz Wotawa
Venue: Proceedings of the Testing: Academic and Industrial Conference Practice and Research Techniques - MUTATION (2007)

Mutation of model-checker specifications is used to generate test-cases automatically. In general, model-checker based techniques are efficient when using small, abstract models, but are limited in their applicability by the performance of the model-checker. Issues that contribute to potentially bad performance are equivalent mutants which result in no test-cases, and the fact that many different mutants lead to identical or subsumed test-cases. Another drawback of such approaches is that the size of resulting test-suites can be rather large, which might require test-suite reduction as an additional post-processing step. In this paper, we describe how the number of mutants can be minimized with special properties, which help to detect equivalent mutants more quickly and to avoid the creation of redundant test-cases. Consequently, the size of created test-suites is reduced.
Optimizing weights in combining classifiers in natural language learning
Authors: Seong-Bae Park, Heegeun Yoon
Venue: Proceedings of the third conference on IASTED International Conference: Advances in Computer Science and Technology (2007)

Many machine learning algorithms have their own idiosyncrasy in their generalization, even though they have been successful in various tasks. Therefore, in many real-world tasks, a committee of several diverse classifiers outperforms any single committee member. However, it is yet an open problem how to combine them in order to achieve high performance. This paper proposes a novel method based on genetic algorithms for combining multiple classifiers. The experimental results on natural language learning show that the proposed method is plausible for combining classifiers. The combination of naïve Bayes classifier, decision trees, and memory-based learning achieves on average 90.14% of accuracy for compound noun decomposition of Korean, while the base classifiers give 73.17%, 82.28%, and 86.26% of accuracy respectively.
An Enterprise Architecture Alignment Measure for Telecom Service Development
Authors: Jacques Simonin, Yves Le Traon, Jean-Marc Jezequel
Venue: Proceedings of the 11th IEEE International Enterprise Distributed Object Computing Conference (2007)

The increasing complexity of modern Information Services (IS) makes necessary to carry on review activities. For many companies, these reviews take place within the framework of the Enterprise Architecture, which aims at sharing components among applications within the IS. These reviews can for instance help the architects in detecting alignment problems between an analysis model and a design model constrained by the enterprise data model. We propose an automatic approach, relying on Model Driven Engineering (MDE), to measure such an alignment. We propose a set of measures which are formally defined using a classical axiomatization approach. We describe how these measures can be implemented with MDE techniques. We finally illustrate their use for the France-Telecom IS of telecom services. Keywords: telecom service development, Enterprise Architecture, Model Driven Architecture/Engineering, alignment measure.
A New Peripheral for Three-Dimensional Computer Input
Authors: P. Noakes, R. Aish
Venue: IEEE Micro (1984)

This device consists of intelligent building blocks which may be assembled by hand and then automatically queried by computer. In this way, a structural database can be quickly and easily created.
Interval-Valued Agent Belief Model Based on New Fuzzy Set Theory
Authors: Yunguo Lin, Xiaoyun Chen, ShanLi Hu
Venue: Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 04 (2007)

In Agent cognitive, Belief is an important part of BDI model. An obvious candidate for representing belief is fuzzy sets. Unfortunately, this presentation is still not perfect at present. For example, the logic system about fuzzy belief model is not complete. In this paper, Interval- valued Agent belief model is constituted by combining the syntax of Lukasiewicz system with the semantics of new fuzzy theory. In this logic system, many important properties can be proved, such as soundness and completeness. At last, the effectiveness and reasonableness about this model are showed through some examples.
Risks to the public
Authors: Peter G. Neumann
Venue: ACM SIGSOFT Software Engineering Notes (2007)

Edited by Peter G. Neumann (Risks Forum Moderator and Chairman of the ACM Committee on Computers and Public Policy), plus personal contributions by others, as indicated. Opinions expressed are individual rather than organizational, and all of the usual disclaimers apply. We address problems relating to software, hardware, people, and other circumstances relevant to computer systems. To economize on space, we include pointers to items in the online Risks Forum: (R i j) denotes RISKS vol i number j. Cited RISKS items generally identify contributors and sources, together with URLs. Official RISKS archives are available at www.risks.org (which redirects to Newcastle and gets you nice html formatting and a search engine courtesy of Lindsay Marshall; http://catless.ncl.ac.uk/Risks/i.j.html gets you (R i j)) and at ftp://www.sri.com/risks.
UWB Channel Measurements for Measures for Hand-Portable and Wearable Devices
Authors: Cristina Taron, Lara Traver, Paula Marto, Narcos Cardon, Juan A. Diaz, Mata Cabedo
Venue: Proceedings of the Third IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (2007)

On-body UWB signal propagation is analyzed for prop- agation channels surrounding the body in an usual office environment for an application requiring the transmission of signals recorded from the head to a device such as a mo- bile phone or a PDA carried by the subject or also from the transmitter on the head to other devices located along the body. For the study, measurements of the frequency response by means of a VNA (Vector Network Analyzer) are performed at 2001 discrete frequency points in the 3 to 6 GHz range. Channel estimation parameters, such as mean excess delay, delay spread and path loss are obtained. Results show that for the transmitter located on top of the head best average performance is achieved facilitating the receiver design. Energy can also be captured from multi- path reflections in the office environment providing better performance when using adaptive receivers.
Integrating Naïve Bayes and FOIL
Authors: Niels Landwehr, Kristian Kersting, Luc De Raedt
Venue: The Journal of Machine Learning Research (2007)

A novel relational learning approach that tightly integrates the naïve Bayes learning scheme with the inductive logic programming rule-learner FOIL is presented. In contrast to previous combinations that have employed naïve Bayes only for post-processing the rule sets, the presented approach employs the naïve Bayes criterion to guide its search directly. The proposed technique is implemented in the <small>NFOIL and <small>TFOIL systems, which employ standard naïve Bayes and tree augmented naïve Bayes models respectively. We show that these integrated approaches to probabilistic model and rule learning outp erform post-processing approaches. They also yield significantly more accurate models than si mple rule learning and are competitive with more sophisticated ILP systems.
Special types of intuitionistic fuzzy left h-ideals of hemirings
Authors: Wieslaw A. Dudek
Venue: Soft Computing - A Fusion of Foundations, Methodologies and Applications (2007)

Characteristic, normal and completely normal intuitionistic fuzzy left h-ideals of hemirings are described.
Recording computer video output for educational purposes
Authors: Rodney O. Rogers, Daryl Labello
Venue: Proceedings of the sixth conference on IASTED International Conference Web-Based Education - Volume 2 (2007)

With increasing frequency, educators desire to capture video output displayed by a computer to use in creating multimedia teaching materials. Simple in concept, the process in execution can be time-consuming and fraught with difficulties, especially when image detail is of great importance. We report on efforts to make Internet viewable teaching materials for university flight students based on screen output generated by the well-known Microsoft Flight Simulator program. After several approaches produced failure or marginally satisfactory results, we finally were able to record and edit screen output that clearly depicts instrument panel details as well as out-the-cockpit terrain visuals. Video capture and editing software is currently a little challenging to use, but it seems likely that future software refinements will parallel the rapid development, for example, of word processing programs from the clumsy software of the middle 1980s to the sophisticated, inexpensive, and easy-to-use current day programs.
Detecting age of page content
Authors: Adam Jatowt, Yukiko Kawai, Katsumi Tanaka
Venue: Proceedings of the 9th annual ACM international workshop on Web information and data management (2007)

Web pages often contain objects created at different times. The information about the age of such objects may provide useful context for understanding page content and may serve many potential uses. In this paper, we describe a novel concept for detecting approximate creation dates of content elements in Web pages. Our approach is based on dynamically reconstructing page histories using data extracted from external sources - Web archives and efficiently searching inside them to detect insertion dates of content elements. We discuss various issues involving the proposed approach and demonstrate the example of an application that enhances browsing the Web by inserting annotations with temporal metadata into page content on user request.
Integrating Intelligent Tutoring Systems and Health Information Systems
Authors: Carolina Gonzalez, Juan C. Burguillo, Martin Llamas
Venue: Proceedings of the 18th International Conference on Database and Expert Systems Applications (2007)

The importance of integrating information about patients in Intelligent Tutoring Systems (ITS) is the opportunity given to the students to direct their own learning. We propose an integration-architecture for sharing patient's clinical data among tutoring and Health Information Systems (HISs). HL7 is used as a standard messaging protocol for collecting the clinical patient data distributed over Health Information Systems.
Concurrent Secrets
Authors: E. Badouel, M. Bednarczyk, A. Borzyszkowski, B. Caillaud, P. Darondeau
Venue: Discrete Event Dynamic Systems (2007)

Given a finite state system with partial observers and for each observer, a regular set of trajectories which we call a secret, we consider the question whether the observers can ever find out that a trajectory of the system belongs to some secret. We search for a regular control on the system, enforcing the specified secrets on the observers, even though they have full knowledge of this control. We show that an optimal control always exists although it is generally not regular. We state sufficient conditions for computing a finite and optimal control of the system enforcing the concurrent secret as desired.
Non-Archimedean Fuzzy Reasoning
Authors: Andrew Schumann
Venue: Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 01 (2007)

The informal sense of Archimedes' axiom is that any- thing can be measured by a ruler. The negation of this axiom allows to consider non-wellfounded phenomena (e.g. self- applicative programs, graph circularity, etc.). In this paper we propose non-Archimedean fuzziness for the first time, i.e. fuzziness that runs over the non-Archimedean number systems. We show that this fuzziness is multihierarchical (namely, it is regarded as -order vagueness) and it is con- structed in the framework of the t-norm based approach as -order extension BL of the basic fuzzy logic BL. We consider two cases of the non-Archimedean fuzziness: one with validity in the interval [0, 1] of hypernumbers and one with validity in the ring of p-adic integers. This fuzziness has a lot of practical applications, e.g. it can be used in higher-order fuzzy clustering.
Working the contract
Authors: Dave Martin, Rob Procter, John Mariani, Mark Rouncefield
Venue: Proceedings of the 19th Australasian conference on Computer-Human Interaction: Entertaining User Interfaces (2007)

This paper presents data and analysis from a long term ethnographic study of the design and development of an electronic patient records system in a UK hospital Trust. The project is a public private partnership (PPP) between the Trust and a US based software house (OurComp) contracted to supply, configure and support their customizable-off-the-shelf (COTS) healthcare information system in cooperation with an in-hospital project team. Given this contractual relationship for system delivery and support (increasingly common, and 'standard' in UK healthcare) we focus on the ways in which issues to do with the 'contract' enter into and impinge on everyday design and deployment work as part of the process of delivering dependable systems.
Discovering interesting usage patterns in text collections: integrating text mining with visualization
Authors: Anthony Don, Elena Zheleva, Machon Gregory, Sureyya Tarkan, Loretta Auvil, Tanya Clement, Ben Shneiderman, Catherine Plaisant
Venue: Proceedings of the sixteenth ACM conference on Conference on information and knowledge management (2007)

This paper addresses the problem of making text mining results more comprehensible to humanities scholars, journalists, intelligence analysts, and other researchers, in order to support the analysis of text collections. Our system, FeatureLens1, visualizes a text collection at several levels of granularity and enables users to explore interesting text patterns. The current implementation focuses on frequent itemsets of n-grams, as they capture the repetition of exact or similar expressions in the collection. Users can find meaningful co-occurrences of text patterns by visualizing them within and across documents in the collection. This also permits users to identify the temporal evolution of usage such as increasing, decreasing or sudden appearance of text patterns. The interface could be used to explore other text features as well. Initial studies suggest that FeatureLens helped a literary scholar and 8 users generate new hypotheses and interesting insights using 2 text collections.
Computer Network Architectures
Authors: S. Wecker
Venue: Computer (1979)

This tutorial analyzes developments in computer network architectures from a top-down design viewpoint starting with user interface requirements, then developing a structure to realize that interface. The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
A Hardware/Software Co-design vs. Hardware Implementation of the Modular Exponentiation Using the Sliding-Window Method with Constant-Length Partitioning
Authors: Nadia Nedjah, Luiza de Macedo Mourelle
Venue: Proceedings of the 10th Euromicro Conference on Digital System Design Architectures, Methods and Tools (2007)

Modular exponentiation is a basic operation in cryptosystems. Generally, the performance of this operation has a tremendous impact on the efficiency of the whole application. The efficiency of the modular exponentiation, in turn, depends mainly on that of modular multiplications as the former is somehow a repetition of the latter. One of the methods that computes the modular power is the sliding-window method, which preprocesses the exponent into zero and non-zero partitions. Zero partitions allow for a reduction of the number of modular multiplications required in the exponentiation process. In this paper, we devise a novel system-on-chip (SoC) implementation for computing modular exponentiation using the sliding-window method. We also propose a hardware-only implementation for that operation. The partitioning strategy used in both approaches allows constant-length non-zero partitions, which increases the average number of zero partitions and so decreases that of nonzero partitions. The partitioning strategy allows variable-length zero partitions. The hardware/software co-design implements the modular multiplication on hardware and the rest of the system in software. We provide a useful comparison of the SoC-based implementation against hardware-only implementation. Both of the proposed implementations can be used in any industrial embedded system that needs to secure the handled information.
Software Quality: Past, Present, and Future
Authors: Suraj C. Kothari
Venue: Proceedings of the Seventh International Conference on Quality Software (2007)

Computing power that once required a large room and a host of careful attendants is now embedded in wristwatches, cell phones and pacemakers.
Gene selection for multiclass prediction by weighted fisher criterion
Authors: Jianhua Xuan, Yue Wang, Yibin Dong, Yuanjian Feng, Bin Wang, Javed Khan, Maria Bakay, Zuyi Wang, Lauren Pachman, Sara Winokur, Yi-Wen Chen, Robert Clarke, Eric Hoffman
Venue: EURASIP Journal on Bioinformatics and Systems Biology (2007)

Gene expression profiling has been widely used to study molecular signatures of many diseases and to develop molecular diagnostics for disease prediction. Gene selection, as an important step for improved diagnostics, screens tens of thousands of genes and identifies a small subset that discriminates between disease types. A two-step gene selection method is proposed to identify informative gene subsets for accurate classification of multiclass phenotypes. In the first step, individually discriminatory genes (IDGs) are identified by using one-dimensional weighted Fisher criterion (wFC). In the second step, jointly discriminatory genes (JDGs) are selected by sequential search methods, based on their joint class separability measured by multidimensional weighted Fisher criterion (wFC). The performance of the selected gene subsets for multiclass prediction is evaluated by artificial neural networks (ANNs) and/or support vector machines (SVMs). By applying the proposed IDG/JDG approach to two microarray studies, that is, small round blue cell tumors (SRBCTs) and muscular dystrophies (MDs), we successfully identified a much smaller yet efficient set of JDGs for diagnosing SRBCTs and MDs with high prediction accuracies (96.9% for SRBCTs and 92.3% for MDs, resp.). These experimental results demonstrated that the two-step gene selection method is able to identify a subset of highly discriminative genes for improved multiclass prediction.
SOA Monitoring for Enterprise Computing Systems
Authors: Paul Hershey, Donald Runyon
Venue: Proceedings of the 11th IEEE International Enterprise Distributed Object Computing Conference (2007)

As enterprise computing transforms to accommodate network centric (net-centric) systems and services, comprehensive monitoring capabilities for Service Oriented Architecture (SOA)-based applications are critical in order to unite business requirements with emerging technologies. These capabilities enable network operators and service providers to observe and proactively respond to events that occur during deployment and operation of enterprise computing systems. This paper presents a novel approach for SOA monitoring applied to these systems. Metrics for SOA monitoring are presented along with an SOA monitoring framework and reference monitoring architecture. Examples are provided to demonstrate the usefulness of this architecture for enterprise computing systems.