ppxscal/embedding_network huggingface dataset:
The Impact of Value on Governance Decisions for IT-Based Alliances: Evidence from a Joint Venture in the Wireless Networks Industry
Authors: Adamantia G. Pateli, George M. Giaglis
Venue: Proceedings of the 40th Annual Hawaii International Conference on System Sciences (2007)

Consideration of cost and resource benefits generated from an alliance have prevailed the theoretical and empirical research about strategic alliances and value networks/ webs. As research in the area advances, strategic and financial theories, such as Game Theory and Real Options Theory, set the groundwork for investigating the anticipated strategic value for IT-based alliances. This paper presents the theoretical consideration of a research stream building on the premise that strategic value affects not only the formation of alliances but also their governance, denoting the level of commitment that partners wish to have with each other. The paper provides a theoretically-based conceptualization of the expected alliance value and discusses a set of research propositions and hypotheses on the direct and indirect impact of firms' value expectations on their preference for the alliance governance mode. Finally, using evidence from a case study, it identifies the role of value expectations in an alliance's shift from contract-based agreement to joint venture.
A knowledge architecture for IT security
Authors: Someswar Kesh, Pauline Ratnasingam
Venue: Communications of the ACM (2007)

The major benefits of knowledge management, particularly as it pertains to security measures, makes it critical that organizations have a mechanism for defining and identifying knowledge needs.
The Hierarchical Visualisation System (HVS)
Authors: Keith Andrews, Werner Putz, Alexander Nussbaumer
Venue: Proceedings of the 11th International Conference Information Visualization (2007)

Numerous techniques have been developed for visualising hierarchically structured information. This paper presents a new framework for the visualisation of hierarchies called the Hierarchical Visualisation System (HVS). HVS is a general framework implemented in Java. It provides a synchronised, multiple view environment for visualising, exploring and managing large hierarchies. HVS reads hierarchies either from the file system or from TreeML files. Eleven hierarchy browsers have so far been implemented within HVS, including: traditional tree views, the classic Walker tree layout, information pyramids, treemaps, a hyperbolic browser, sunburst, and cone trees. In addition to being a tool to explore and manage hierarchies, HVS was also designed to provide a platform for the empirical evaluation and comparison of different hierarchy browsers. The Hierarchical Visualisation Testing Environment (HVTE) is a semi-automated testing environment built on top of HVS. HVTE is being used for a series of comparative studies of hierarchy browsers.
Iconic programming for teaching the first year programming sequence
Authors: B. A. Calloni, D. J. Bagert
Venue: Proceedings of the Frontiers in Education Conference on 1995. Proceedings., 1995 vol 1. - Volume 01 (1995)

Research has been undertaken to evaluate the effectiveness of using iconic (as opposed to visual) programming environments in teaching the first two computer programming courses. The co-authors have developed a Windows-based iconic programming language named BACCII. BACCII allows the user to program with icons representing all the major programming constructs and data structures within a syntax-directed environment. The user can then generate syntactically correct code for any one of several text-based languages. This system has previously been used as a supplement to teach a Pascal-based introductory computer science (CSI) course required of both computer science and electrical engineering majors; the empirical results showed a significant increase in learning and comprehension, despite the fact that there were virtually no supplemental teaching materials for BACCII available at that time. Additional research has supplied object-oriented extensions to BACCII for use in the data structures/object-oriented programing (CS2) course. Current research concerns the development of a complete set of course material for the use of BACCII in teaching both CSI and CS2 using C++. Lecture notes, text, and lab manuals are under development. An experiment will be run using the new teaching materials at Texas Tech during the 1995-96 school year. Future research hopes to extend this program to series of pilot programs at other institutions.
Addressing diverse learning styles through the use of multimedia
Authors: S. M. Montgomery
Venue: Proceedings of the Frontiers in Education Conference on 1995. Proceedings., 1995 vol 1. - Volume 01 (1995)

The paper presents preliminary results of a study conducted to discern ways in which multimedia can be used to address the needs of a variety of student learners. The learning styles of students in an introductory material and energy class were evaluated and classified based according to B.S. Soloman's (1992) inventory of learning styles' four dimensions: processing (active/reflective), perception (sensing/intuitive), input (visual/verbal) and understanding (sequential/global). Students in the class used 3 multimedia based software programs developed in our laboratory. The paper presents examples of these and other multimedia programs to demonstrate the effectiveness of multimedia in addressing the learning styles typically neglected by traditional teaching methods. For example: active learners appreciate the use of movies and interaction; sensors benefit from additional reviews of abstract material, and appreciate the demonstrations; visual students appreciate the movies as well as the visual navigation scheme; global learners prefer placing the new material within a greater context. Future work will include the use of more refined surveys and individual follow up interviews that will provide the needed insight to develop guidelines for the effective use of multimedia.
Distributed Stream Processing Analysis in High Availability Context
Authors: Marcin Gorawski, Pawel Marks
Venue: Proceedings of the The Second International Conference on Availability, Reliability and Security (2007)

Not so long ago data warehouses were used to process data sets loaded periodically during ETL process (Extraction, Transformation and Loading). We could distinguish two kinds of ETL processes: full and incremental. Now we often have to process real-time data and analyse them almost on-the-fly, so the analyses are always up to date. There are many possible applications for real-time data warehouses. In most cases two features are important: delivering data to the warehouse as quick as possible, and not losing any tuple in case of failures. In this paper we propose an architecture for gathering and processing data from geographically distributed data sources. We present theoretical analysis, mathematical model of a data source, some rules of system modules configuration and results of experiments. At the end of the paper our future plans are described briefly.
A 2D-Motion Platform: The Cybercarpet
Authors: Martin C. Schwaiger, Thomas Thummel, Heinz Ulbrich
Venue: Proceedings of the Second Joint EuroHaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (2007)

This paper presents the cybercarpet, an advanced model of a 2D locomotion interface with high velocities and high accuracy. The cybercarpet consists of an array of balls which are actuated by a belt mounted on a turntable. The goal is to keep the walker in the center of the platform while he performs arbitrary motions in the virtual environment. The current approach is based on mechanical principles and components which could also be used for a big scale platform. Moreover the findings presented in this work are judged with respect to upscalability.
Blind separation of temporomandibular joint sound signals
Authors: Y. Guo
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 02 (1999)

In order to develop a cheap, efficient and reliable diagnostic tool for the detection of temporomandibular joint disorders (TMD), sounds from the temporomandibular joint (TMJ) are recorded using a pair of microphone inserted in the auditory canals. However, the TMJ sounds originating from one side of the head can also be picked up by a microphone at the other side. Blind source separation (BSS) is thus proposed as a method to recover the original sound. The authors propose to use non-casual filters for the separation of TMJ signals. The algorithm is based on information theory and is an extension of early work by Torkkola (see IEEE workshop on Neural Networks for Signal Processing, Kyoto, Japan, 1996). The separation was successful and the output can now be used for subsequent analysis of TMJ sounds.
Policy-based pervasive systems management using specification-enhanced rules
Authors: Roy Campbell
Venue:  (2006)

Policy-based management is an approach in which organization guidelines can be expressed as policies that are enforced by a management system. These rules specify the corrective actions that should be executed in different situations and are designed using the Event-Condition-Action (ECA) rule framework. The events and conditions express the situation in which the corrective action should be executed. A management policy evolves over time by addition and removal of rules, policy composition, rule modifications and due to various system dynamisms. These changes may result in conflicts and cycles among rules. Multiple rules can become simultaneously eligible for enforcement in a situation and the order of enforcement may determine the final system state. Rule enforcement may fail necessitating an exception model for policies. Rules may contain long-running actions, which may cause conflicts with rules that are enforced at a later situation. The dynamism of pervasive systems with frequently changing configurations further complicates policy design. In order to address these issues, complex static and dynamic reasoning techniques have to be supported by management systems. The ECA rule framework is poorly suited for designing management policies for pervasive systems since it does not contain any information about the rule action. A rule action is initiated on the specified situation and there is no information about the effect of the action on the system or whether the action completed execution successfully. This information is vital for policy analysis and for providing various guarantees. The above problems lead to non-determinism, which makes the management process unpredictable. In this thesis, we propose a rule framework called Event-Condition-Precondition-Action-Postcondition (ECPAP) that contains axiomatic specifications of rule actions, for designing management policies. These specifications formally state the effect of an action using Hoare logic as pre- and post-conditions. This framework facilitates advanced conflict and cycle analysis, determines enforcement order when multiple rules are simultaneously triggered, supports policy exception handling and provides reasoning support for rules with long-running actions. We show how the ECPAP framework enables deterministic policy-based management.
Stupid file systems are better
Authors: Lex Stein
Venue: Proceedings of the 10th conference on Hot Topics in Operating Systems - Volume 10 (2005)

File systems were originally designed for hosts with only one disk. Over the past 20 years, a number of increasingly complicated changes have optimized the performance of file systems on a single disk. Over the same time, storage systems have advanced on their own, separated from file systems by the narrow block interface. Storage systems have increasingly employed parallelism and virtualization. Parallelism seeks to increase throughput and strengthen fault-tolerance. Virtualization employs additional levels of data addressing indirection to improve system flexibility and lower administration costs. Do the optimizations of file systems make sense for current storage systems? In this paper, I show that the performance of a current advanced local file system is sensitive to the virtualization parameters of its storage system. Sometimes random block layout outperforms smart file system layout. In addition, random block layout stabilizes performance across several virtualization parameters. This approach has the advantage of immunizing file systems to changes in their underlying storage systems.
Coordinating mobile agents in interaction spaces
Authors: Frédéric Peschanski, Alexis Darrasse, Nataliya Guts, Jérémy Bobbio
Venue: Science of Computer Programming (2007)

We present a kernel coordination language for mobile agent systems that considers as first-class citizens both the agents and the channels they use to interact with each other. Channels implement distributed, asynchronous communications with FIFO ordering and multicast routing. Features related to mobility include agent migration as well as remote cloning. Most importantly, a virtual form of channel mobility inspired by the @p-calculus is also supported. This expressive feature allows mobile agents to adapt dynamically to their changing environment. The language semantics, presented formally, is based on a geometrical model named the Interaction Spaces. This provides an intuitive interpretation of the agent features and capabilities in terms of combined spatial projections and transformations. Through spatial composition, we show that standard labeled transition systems and bisimulation-based semantics may be defined above the geometry, enabling reasoning and formal verification. Finally, we describe prototype implementations of the proposed model and language.
Correlation of Graph-Theoretical Indices
Authors: Stephan G. Wagner
Venue: SIAM Journal on Discrete Mathematics (2007)

The correlation of graph characteristics, such as the number of independent vertex or edge subsets, the number of connected subsets, or the sum of distances, which also play a role in combinatorial chemistry, is studied by a generating function approach and asymptotic analysis. It is shown how an asymptotic formula for the correlation coefficient can be obtained when simply generated families of trees are investigated. For rooted ordered trees, the calculations are done explicitly. Further feasible correlation measures are discussed.
Agent-Based Computing for Enterprise Collaboration--Agent-Oriented Workflows and Services
Authors: Giacomo Cabri
Venue: Proceedings of the 15th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises (2006)

The fourth "Agent-based Computing for Enterprise Collaboration" workshop at WETICE aimed at bringing together researcher in the field of collaboration supported by software agents. This paper briefly discusses the content of the papers as presented by the participating authors. Moreover, there is a summary of the main issues of the concluding discussions.
Performance Analysis of the Interrogation-based Failure Detector
Authors: Naohiro Hayashibara, Makoto Takizawa
Venue: Proceedings of the 27th International Conference on Distributed Computing Systems Workshops (2007)

In this paper, we analyze the performance of the implementation of thefailure detector with interrogation-style interaction though many failure detector implementations have been evaluating based on heartbeat interaction. Intuitively, interrogation-based failure detector seems to be imprecise due to the difficulty on the estimation of two-ways transmission delay rather than heartbeat-based implementation, however it has lots of implementation advantages, for example, this style of failure detectors can simply use ICMP standard for their interaction and it is easy to monitor lots of network resources including nodes, routers and switches. We have done the experiment in a LAN and evaluated the behavior of the interrogation-based implementation for showing availability of this type of failure detectors from a practical point of view.
Patterns and dynamics of ocean circulation variability on the west florida shelf
Authors: Robert H. Weisberg
Venue:  (2006)

Patterns of variability and the dynamics of the ocean circulation on the West Florida Shelf (WFS) are investigated using multi-year, shelf-wide oceanographic observations from moored Acoustic Doppler Current Profiler (ADCP) arrays, hydrographic cruises, High-Frequency (HF) radars, satellites, and coastal tide gauges. Novel neural network techniques, Self-Organizing Map (SOM) and Growing Hierarchical Self-Organizing Maps (GHSOM), are introduced as feature extraction methods in physical oceanography. The SOM is demystified and demonstrated to be a useful feature extraction method in a series of performance evaluations using artificial data sets comprising known patterns. It is then applied to velocity time series from moored ADCP arrays and to a joint HF-radar and ADCP data set, respectively, to extract patterns of ocean current variability, and it is shown to be a useful technique for extracting dynamically consistent ocean current patterns. The extracted characteristic patterns of upwelling/downwelling variability are coherent with the local winds on the synoptic weather time scale, and coherent with both the local winds and the complementary Sea Surface Temperature (SST) patterns on the seasonal time scale. The currents are predominantly southeastward during fall-winter and northwestward during summer. The GHSOM is used to describe the SST seasonal variation. As feature extraction methods, both the SOM and the GHSOM have advantages over the conventional Empirical Orthogonal Function method. The circulation dynamics are examined, first through depth-averaged momentum balances at selected locations and then via sea surface height (SSH) estimates across the inner shelf. Dominant dynamics of the shelf circulation are diagnosed and a method is discussed for estimating along-shelf currents from coastal sea level and wind data. Nontidal coastal sea level fluctuations are related to both the offshore SSH and the dynamical responses of the inner shelf to wind and buoyancy forcing. The across-shelf distribution of the SSH is estimated from the velocity, hydrography, wind, and coastal sea level data. Subtracting the variability that may be accounted for by inner shelf dynamical responses yields a residual at the 50 m isobath that compares well with satellite altimetry data. This suggests the possibility of calibrating satellite SSH data on the continental shelf.
Kolmogorov&ndash;Smirnov-type testing for the partial homogeneity of Markov processes&mdash;with application to credit risk: Research Articles
Authors: Rafael Weißbach, Holger Dette
Venue: Applied Stochastic Models in Business and Industry (2007)

In banking, the default behaviour of the counterpart is not only of interest for the pricing of transactions under credit risk but also for the assessment of a portfolio credit risk. We develop a test against the hypothesis that default intensities are chronologically constant within a group of similar counterparts, e.g. a rating class. The Kolmogorov&ndash;Smirnov-type test builds up on the asymptotic normality of counting processes in event history analysis. The right censoring accommodates for Markov processes with more than one no-absorbing state. A simulation study and two examples of rating systems demonstrate that partial homogeneity can be assumed, however occasionally, certain migrations must be modelled and estimated inhomogeneously. Copyright &copy; 2007 John Wiley & Sons, Ltd.
A framework for inverse tone mapping
Authors: Francesco Banterle, Patrick Ledda, Kurt Debattista, Alan Chalmers, Marina Bloj
Venue: The Visual Computer: International Journal of Computer Graphics (2007)

In recent years many tone mapping operators (TMOs) have been presented in order to display high dynamic range images (HDRI) on typical display devices. TMOs compress the luminance range while trying to maintain contrast. The inverse of tone mapping, inverse tone mapping, expands a low dynamic range image (LDRI) into an HDRI. HDRIs contain a broader range of physical values that can be perceived by the human visual system. We propose a new framework that approximates a solution to this problem. Our framework uses importance sampling of light sources to find the areas considered to be of high luminance and subsequently applies density estimation to generate an expand map in order to extend the range in the high luminance areas using an inverse tone mapping operator. The majority of today&#x2019;s media is stored in the low dynamic range. Inverse tone mapping operators (iTMOs) could thus potentially revive all of this content for use in high dynamic range display and image based lighting (IBL). Moreover, we show another application that benefits quick capture of HDRIs for use in IBL.
Network Functionality for Supporting Adaptive Applications over Varying Radio Conditions
Authors: C. Desiniotis, K. Kypris, C. Antoniou
Venue: Wireless Personal Communications: An International Journal (2007)

The purpose of this paper is to analyze the concept of the Bandwidth Mediation Module (BMM). The BMM is a proposed network functionality which records the status of the mobile network (in terms of congestion, noise levels, etc.) and provides input to the requesting Application Server. This network status information is processed in order for the available network resources to be identified and presented in a uniform way. The outcome is further utilized by the provided services which are then adapted accordingly so as to be efficiently delivered over the varying network traffic conditions. The term "Adaptive Applications" means that the applications adjust their functionalities according to the available network resources. The BMM communicates network status information to the Application Server in order to constantly enhance the end user service perception and relieve the network from high congestion.
Acoustic emission classification using signal subspace projections
Authors: V. Emamian
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 05 (2001)

In using acoustic emissions (AE) for mechanical diagnostics, one major problem is the differentiation of events due to crack growth in a component from noise of various origins. This work presents two algorithms for automatic clustering and separation of AE events based on multiple features extracted from experimental data. The first algorithm consists of two steps. In the first step, the noise is separated from the events of interest and subsequently removed using a combination of covariance analysis, principal component analysis (PCA), and differential time delay estimates. The second step processes the remaining data using a self-organizing map (SOM), which outputs the noise and AE signals into separate neurons. The algorithm is verified with two sets of data, and a correct classification ratio of over 95% is achieved. The second algorithm characterizes the AE signal subspace based on the principal eigenvectors of the covariance matrix of an ensemble of the AE signals. The latter algorithm has a correct classification ratio over 90%.