ppxscal/embedding_network huggingface dataset:
Essential Layers, Artifacts, and Dependencies of Enterprise Architecture
Authors: Robert Winter, Ronny Fischer
Venue: Proceedings of the 10th IEEE on International Enterprise Distributed Object Computing Conference Workshops (2006)

After a period where implementation speed was more important than integration, consistency and reduction of complexity, architectural considerations have become a key issue of information management in recent years again. Enterprise architecture is widely accepted as an essential mechanism for ensuring agility and consistency, compliance and efficiency. Although standards like TOGAF and FEAF have developed, however, there is no common agreement on which architecture layers, which artifact types and which dependencies constitute the essence of enterprise architecture. This paper contributes to the identification of essential elements of enterprise architecture by (1) specifying enterprise architecture as a hierarchical, multilevel system comprising aggregation hierarchies, architecture layers and views, (2) discussing enterprise architecture frameworks with regard to essential elements, (3) proposing interfacing requirements of enterprise architecture with other architecture models and (4) matching these findings with current enterprise architecture practice in several large companies.
How Much of the Software Engineering Old Still Remains New?
Authors: Robert L. Glass
Venue: IEEE Software (2006)

Oddly enough, many software engineering issues and conflicts that were relevant 20 years ago are still relevant today.
Personal Heart Monitoring System Using Smart Phones To Detect Life Threatening Arrhythmias
Authors: Peter Leijdekkers, Valerie Gay
Venue: Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems (2006)

This paper discusses a personalized heart monitoring system using smart phones and wireless (bio) sensors. We combine ubiquitous computing with mobile health technology to monitor the wellbeing of high risk cardiac patients. The smart phone analyses in real-time the ECG data and determines whether the person needs external help. We focus on two life threatening arrhythmias: Ventricular Fibrillation (VF) and Ventricular Tachycardia (VT). The smart phone can automatically alert the ambulance and pre assigned caregivers when a VF/VT arrhythmia is detected. The system can be personalized to the needs and requirements of the patient. It can be used to give advice (e.g. exercise more) or to reassure the patient when the bio-sensors and environmental data are within predefined ranges.
Using handheld PCs and peer instruction to improve science teaching and learning in higher education
Authors: Perry Samson, Stephanie D. Teasley, Ben van der Pluijm, Peter Knoop
Venue: Proceedings of the 7th international conference on Learning sciences (2006)

Many of the core concepts in earth science systems are complex and counterintuitive, but well illustrated through imagery and/or animation. We have developed a new tool, "ImageQuiz," that uses wireless technologies to present images and provide a question requiring a point response. In the study presented here, we use Peer Instruction techniques (Mazur, 1997) in a large geosciences class and deliver ImageQuizes via wireless PocketPC computers. We will discuss development, implementation and learning outcomes.
Towards Propagation of Changes by Model Approximations
Authors: Antonio Cicchetti, Davide Di Ruscio, Romina Eramo
Venue: Proceedings of the 10th IEEE on International Enterprise Distributed Object Computing Conference Workshops (2006)

A number of model transformation approaches have been proposed both from academia and industry since automated manipulation of models plays a central role in model driven development. Ideally, a model transformation technique should also be compatible with manual changes that might be performed by designers on the generated models in order to resolve unforeseen requirements or limited expressiveness of the involved metamodels. This paper proposes an approach to model transformation based on answer set programming. Starting from target models that have been manually modified (and possibly not belong to the co-domain of the transformation being used), the approach is able to deduce a collection of models that approximate the ideal one from which it is possible to generate the previously modified target.
On using multi-agent systems in playing board games
Authors: Stefan J. Johansson
Venue: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems (2006)

Computer programs able to play different kinds of games (aka bots) is a growing area of interest for the computer game industry as the demand for better skilled computerized opponents increase. We propose a general architecture of a Multi-agent System (Mas) based bot able to play complex board games and show that this solution is able to outperform other bots in two quite different games, namely no-press Diplomacy and Risk. Based on these results, we formulate a hypothesis of the applicability of Mas based bots in the domain of board games and identify the need for future investigations in the area.
Ensemble as a Piecewise Linear Classifier
Authors: Pitoyo Hartono, Shuji Hashimoto
Venue: Proceedings of the Sixth International Conference on Hybrid Intelligent Systems (2006)

In this paper we analyze the performance of a neural network ensemble in performing piecewise linear classification by automatically decomposing a non-linear problem into several linear sub-problems. The strength and weakness of this neural network ensemble with respect to MLP and Perceptron, and the diversity in the ensemble's modules, created as the result of the competitive learning process, are the main focus of this paper.
A Study on Image Enhancement Techniques for Fingerprint Identification
Authors: Anto Melvin Paul, R. Mary Lourde
Venue: Proceedings of the IEEE International Conference on Video and Signal Based Surveillance (2006)

The aim of this paper is to propose a new method in fingerprint enhancement with application of wavelet transform which is more efficient than existing methods. At present the methods that are in use are the ones involving the use of Gabor filtering and Fourier filtering. But the accuracy of these techniques is far from satisfactory. A new technique is being proposed that incorporates wavelet transform and Gabor filtering. The performance of this technique is being discussed in the paper.
2005 Special issue: Hippocampal theta rhythms from a computational perspective: Code generation, mood regulation and navigation
Authors: Péter írdi, Zsófia Huhn, Tamás Kiss
Venue: Neural Networks (2005)

In this paper three computer models are summarized discussing different functions of the cortico-hippocampal system. Mood regulation, rhythm and code generation and navigation are integrated into a coherent conceptual framework around the concepts of structural hierarchy and circular causality. First, a model of spatio-temporal code generation is reviewed in which the hippocampal population theta rhythm plays an important role. Next, generation and pharmcological modulation of this rhythm is examined using a computer model of multiple cell populations forming a feed-back loop within the hippocampus and between the septum and the hippocampus. Last, an abstract, but biologically motivated model of navigation is described which achieves a near optimal mode of navigation by composing hierarchical levels of the cortico-hippocampal system. The connections among the different hierarchical structures of the cortico-hippocampal organization and their functional roles are discussed.
Periodic solutions of a nonautonomous predator-prey system with stage structure and time delays
Authors: Rui Xu, Zhiqiang Wang
Venue: Journal of Computational and Applied Mathematics (2006)

A nonautonomous Lotka-Volterra type predator-prey model with stage structure and time delays is investigated. It is assumed in the model that the individuals in each species may belong to one of two classes: the immatures and the matures, the age to maturity is presented by a time delay, and that the immature predators do not feed on prey and do not have the ability to reproduce. By some comparison arguments we first discuss the permanence of the model. By using the continuation theorem of coincidence degree theory, sufficient conditions are derived for the existence of positive periodic solutions to the model. By means of a suitable Lyapunov functional, sufficient conditions are obtained for the uniqueness and global stability of the positive periodic solutions to the model.
Study on Scheduling Strategy for Global Computing Application
Authors: Guangzhong Sun, Bin Fan, Guoliang Chen, Yinghua Zhou
Venue: Proceedings of the Seventh International Conference on Parallel and Distributed Computing, Applications and Technologies (2006)

In the applications of global computing like SETI@home, the scheduling problem of computation components is an important issue to improve the performance. In this paper, we propose a theoretical model of global computing application concerning the scheduling of computation components. Based on the model, we evaluate the performance of different scheduling mechanisms to choose a proper scheduling strategy for the application according to the corresponding network environment and computing resources. Finally we make the comparisons among different scheduling strategies and suggestions to improve the performance of the application.
Accurate simulation and evaluation of code reordering
Authors: J. Kalamatianos
Venue: Proceedings of the 2000 IEEE International Symposium on Performance Analysis of Systems and Software (2000)

The need for bridging the ever growing gap between memory and processor performance has motivated research for exploiting the memory hierarchy effectively. An important software solution called code reordering produces a new program layout to better utilize the available memory hierarchy. Many algorithms have been proposed. They differ based on: 1) the code granularity assumed by the reordering algorithm, and 2) the models used to guide code placement. In this paper we present a framework that provides accurate simulation and evaluation of code reordering algorithms on an out-of-order superscalar processor. Our approach allows both profile-guided and compile-time approaches to be simulated. Using a single simulation pass, different graph models are constructed and utilized during code placement. Various combinations of basic block/procedure reordering algorithms can be employed. We discuss the necessary modifications made to a detailed simulator of a processor in order to accurately simulate the optimized code layout.
Shape Classification Using the Inner-Distance
Authors: Haibin Ling, David W. Jacobs
Venue: IEEE Transactions on Pattern Analysis and Machine Intelligence (2007)

Part structure and articulation are of fundamental importance in computer and human vision. We propose using the inner-distance to build shape descriptors that are robust to articulation and capture part structure. The inner-distance is defined as the length of the shortest path between landmark points within the shape silhouette. We show that it is articulation insensitive and more effective at capturing part structures than the Euclidean distance. This suggests that the inner-distance can be used as a replacement for the Euclidean distance to build more accurate descriptors for complex shapes, especially for those with articulated parts. In addition, texture information along the shortest path can be used to further improve shape classification. With this idea, we propose three approaches to using the inner-distance. The first method combines the inner-distance and multidimensional scaling (MDS) to build articulation invariant signatures for articulated shapes. The second method uses the inner-distance to build a new shape descriptor based on shape contexts. The third one extends the second one by considering the texture information along shortest paths. The proposed approaches have been tested on a variety of shape databases, including an articulated shape data set, MPEG7 CE-Shape-1, Kimia silhouettes, the ETH-80 data set, two leaf data sets, and a human motion silhouette data set. In all the experiments, our methods demonstrate effective performance compared with other algorithms.
Development of real-time character recognition system for the steel-iron plant
Authors: Sang-gug Park, Jong-hak Lee
Venue: Proceedings of the 2006 International Conference on Hybrid Information Technology - Volume 01 (2006)

This paper describes about the development of real-time recognition system for the characters, which was marked at the slab and billet material in the steel-iron plant. Normally, the billets or slabs are mixed at yard so that their identifications are hardly tractable. The characters of these material image can be marked by use three kinds of methods such as auto marking machine, template-marking plate and hand written method. For the recognition of each character, we use KLT, PSV, and CCD & PSVM algorithm for the printed font, template-marked font and hand written font respectively. The font style of slab materials is printer letter. The font style of bloom or billet materials is mixed type with printed font, template-marked font and hand written font. For the application of recognition algorithm, we have developed vision system and installed at the slab and billet processing line of the steel-iron plant. Through the test, we have confirmed that our system has good performance and high recognition rate, 97.6% for slab and 98.6% for billet.
Optimal control of shunt active power filters in multibus industrial power systems for harmonic voltage mitigation
Authors: Josef Tlustý, Pavel Santarius, Viktor Valouch, Jiří Škramlík
Venue: Mathematics and Computers in Simulation (2006)

The bus voltage and branch current detection control strategies of the active power filters used in industrial multibus power systems for harmonic voltage mitigation are analyzed and compared in the paper. The effectiveness of both the methods with real control gains is assessed in terms of the harmonic bus voltage mitigation and of the demanded current spectrum injected by the active power filters.
Providing for change through Adaptive Object Models and Autonomous Computing techniques
Authors: John Butler, Stephen Barrett
Venue: Proceedings of the International Conference on Autonomic and Autonomous Systems (2006)

This paper explores how autonomic behaviour might be supported by software that is constructed using Adaptive Object Modelling (AOM). AOMs provide a meta-layer architecture through which controlled (i.e. domain meaningful and correct) transformations of base-level computation can be achieved. Our work is derived from a model driven approach to systems construction, in which architectural modelling artefacts of a development process are used directly to construct a system AOM. Modification of modelling is explicitly mapped to AOM adjustment, and thus to system modification. We propose an extension to this approach to capture dynamic and autonomic concerns. We explore how resulting systems models might readily accommodate unforeseen changes in the environment and react appropriately without the need for programmer intervention.
Feedback and adaptation within a complex systems approach to designing for scalable and sustainable professional development
Authors: Susan A. Yoon, Eric Klopfer
Venue: Proceedings of the 7th international conference on Learning sciences (2006)

This paper reports on the efficacy of a professional development framework premised on four complex systems design principles of which two are detailed here--feedback and adaptation. The framework is applied to the design and delivery of the first two years of a three-year study aimed at improving teacher and student understanding of computational modeling tools. We demonstrate that structuring a professional development program around these principles facilitates the development of important strategies such as the identification of salient system variables, effectively distributing expertise, and constructing curricular adaptations. We discuss two meta-level themes that may account for the success of the principles: attending to structure vs. agency and setting short-term vs. long-term goals. Each illustrates the tension existing between competing variables that need to be considered to effectively program for professional development around educational technology with the goal of sustaining and scaling innovations in real world complex educational systems.
The BOLD Hemodynamic Response in Healthy Aging
Authors: Howard J. Aizenstein, Kristi A. Clark, Meryl A. Butters, Jennifer Cochran, V. Andrew Stenger, Carolyn C. Meltzer, Charles F. Reynolds, Cameron S. Carter
Venue: Journal of Cognitive Neuroscience (2004)

Several previous studies have compared the blood oxygen level-dependent (BOLD) hemodynamic response (HDR) in healthy elderly subjects to the HDR in young subjects. Some studies have found a relative decreased amplitude in the elderly in the visual cortex, whereas other studies have found the elderly HDR amplitude in the visual cortex to be nearly identical to that in young subjects. A possible explanation for the different findings is that the peak voxel HDR is similar between the groups, but that the HDR in the group-averaged region-of-interest (ROI) is ''washed out'' by the inclusion of less significant voxels (due to a smaller extent of activation in the elderly) or by the inclusion of negative-peaking voxels. We tested this hypothesis using event-related functional magnetic resonance imaging (fMRI ). While undergoing fMRI, subjects performed a simple visual and motor task, pressing with their index fingers in response to visual presentation of the word tap. Data from 18 subjects, 8 young and 10 elderly, were analyzed. For each subject, a visual and a motor ROI was selected by choosing the most significant positive voxels within the anatomically defined ROI. This individual subject approach excluded both low-significance and negative-peaking voxels. Similar peaks were found for the elderly and the young subjects in both motor and visual regions and a more sustained BOLD response was found for the elderly in both regions. Additionally, as predicted, a greater percentage of voxels with a negative HDR was found for the elderly in the visual region; this finding was also replicated in our reanalysis of an independent fMRI and aging study from the fMRI Data Center. Functional neuroimaging observations of negative HDRs in visual areas have been interpreted as the effect of unconstrained processing during rest. Our results suggest that the elderly may have more unconstrained visual processing during the rest condition in the scanner. The observation that the group differences in the BOLD response are sensitive to voxel selection (e.g., inclusion of low-significance and/or negative voxels) underscores the importance of ROI selection criteria in the interpretation of fMRI studies using elderly populations.
Effects of collaboration mode and group composition in computer-mediated instruction
Authors: James D. Klein
Venue:  (2006)

The purpose of this study was to investigate the effects of collaboration mode and group composition during a collaborative computer-based program. One-hundred twenty undergraduate preservice teachers enrolled in one of six sections of a computer literacy course were blocked by general computer ability and assigned to one of three group composition treatments. These groups consisted of homogeneous lower-ability, homogeneous higher-ability, or heterogeneous mixed-ability pairs. Each of the six intact sections of the computer literacy course was assigned to either a face-to-face or a virtual, online collaboration treatment condition. The study examined the effects of collaboration mode and group composition on individual posttest performance, group project performance, time, collaborative interaction behavior, and attitudes towards the instruction. Results for performance indicated that students in the face-to-face collaborative condition performed significantly better on the individual posttest than those in the virtual online condition. In contrast, dyads that collaborated virtually performed significantly better on the group project than those who collaborated face-to-face. In addition to the findings for collaboration mode, higher-ability and mixed-ability dyads performed significantly better on the posttest and group project than lower-ability dyads. Findings for time indicated that lower-ability dyads spent significantly more time on instruction screens than both the mixed-ability dyads and the higher-ability dyads. Furthermore, students in mixed-ability dyads spent significantly more time waiting for their partner to complete the instruction screens than lower-ability dyads. Results for interaction behavior revealed that virtual dyads exhibited significantly more questioning behaviors and significantly more off-task interactions than face-to-face dyads. However findings for attitudes indicated that students in the virtual condition were significantly less positive than students in the face-to-face condition toward the delivery system, the topic, and collaborative work. The results of this study have implications for the design and delivery of collaborative instruction in computer-mediated environments. The findings suggest that both virtual and face-to-face collaboration can be effective in achieving learning goals. However, consideration should be given to the collaborative structure of the lesson and the type of task in the design of computer-mediated collaborative environments.
Relationship-based Social Awareness Disclosure
Authors: Misook Heo
Venue: Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies (2006)

In online learning environments where learners do not have many opportunities to access social information, students' social awareness of their peers is generally low and their ability to project themselves socially in the learning community is also minimal. With social awareness information, learners can portray themselves as feeling, intentional, thinking, and social human beings. This paper reports online learners' perceptions of useful social information in online learning environments, and their level of willingness to share itemized social awareness information with various relationship-based audiences.
Detailed Exploration of Face-related Processing in Congenital Prosopagnosia: 2. Functional Neuroimaging Findings
Authors: Galia Avidan, Uri Hasson, Rafael Malach, Marlene Behrmann
Venue: Journal of Cognitive Neuroscience (2005)

Specific regions of the human occipito-temporal cortex are consistently activated in functional imaging studies of face processing. To understand the contribution of these regions to face processing, we examined the pattern of fMRI activation in four congenital prosopagnosic (CP) individuals who are markedly impaired at face processing despite normal vision and intelligence, and with no evidence of brain damage. These individuals evinced a normal pattern of fMRI activation in the fusiform gyrus (FFA) and in other ventral occipito-temporal areas, in response to faces, buildings, and other objects, shown both as line drawings in detection and discrimination tasks and under more naturalistic testing conditions when no task was required. CP individuals also showed normal adaptation levels in a block-design adaptation experiment and, like control subjects, exhibited evidence of global face representation in the FFA. The absence of a BOLD&ndash;behavioral correlation (profound behavioral deficit, normal face-related activation in the ventral occipito-temporal cortex) challenges existing accounts of face representation, and suggests that activation in these cortical regions per se is not sufficient to ensure intact face processing.