ppxscal/embedding_network huggingface dataset:
Capacity bounds of deployment concepts for Wireless Mesh Networks
Authors: Sebastian Max, Erik Weiss, Guido R. Hiertz, Bernhard Walke
Venue: Performance Evaluation (2009)

Local area wireless networks are like cellular systems: Stations associate to one out of several access points (APs), which connect to a wired backbone. Due to signal attenuation and transmission power limitations, radio connectivity is available only sufficiently close to an AP. In scenarios with a dense deployment of APs the wired backbone causes unprofitably high costs. A Wireless Mesh Network (WMN) serves to extend the coverage of APs by means of Mesh Points (MPs) that forward data between a station and an AP. This concept reduces deployment costs, but reduces also network capacity, owing to multiple transmissions of the same data packet on its multi-hop route. This paper analyzes how the capacity of cost-limited WMNs can be optimized. A layered model of a WMN specifying the typical characteristics of the network is used to calculate the upper capacity bound. Based on the heuristics developed, networks of more than 150 nodes (APs, MPs and stations) can be handled. We apply the method to investigate the combination of three measures for improving the WMN capacity: (i) concurrent scheduling of transmissions, (ii) application of directional antennas and (iii) variable number of MPs per AP. The capacity bounds for different combinations of the measures mentioned is computed and compared. Combined with a simple cost model, these results are useful to provide insight into the economical feasibility of WMNs for wireless Internet access.
Multiobjective Genetic Clustering with Ensemble Among Pareto Front Solutions: Application to MRI Brain Image Segmentation
Authors: Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay
Venue: Proceedings of the 2009 Seventh International Conference on Advances in Pattern Recognition (2009)

This article describes a multiobjective genetic fuzzy clustering scheme that utilizes the search capabilities of NSGA-II, a popular multiobjective genetic algorithm and optimizes a number of fuzzy cluster validity measures. Real-coded encoding of the cluster centers is used for this purpose. The multiobjective clustering scheme produces a number of non-dominated solutions, each of which contains some information about the clustering structure. Hence it is required to obtain the final optimal clustering by combining those information. For this, clustering ensemble is used to combine the non-dominated solutions of the final Pareto front produced. The proposed method is applied on several simulated T1-weighted, T2-weighted and proton density-weighted normal MRI brain images. Superiority of the proposed method over K-means, Fuzzy C-means, Expectation Maximization and Single Objective Genetic clustering have been demonstrated.
A Modified FLC Adaptive Sampling Method
Authors: Qi Xin, Liang Hong, Liu Fang
Venue: Proceedings of the 2009 WRI International Conference on Communications and Mobile Computing - Volume 02 (2009)

According to the defects in the network traffic measurement of Fuzzy Logic Control adaptive sampling method (FLC),this paper puts forward an modified FLC adaptive sampling method. By redefining the member functions of FLC method, realize determining the parameters of member functions dynamically using a certain algorithm,the modified FLC method can realize dynamic adaptive sampling in the network traffic measurement better.
CollabEd: A Platform for Collaboratizing Existing Editors
Authors: Kenroy G. Granville, Timothy J. Hickey
Venue: Proceedings of the 2009 International Conference on Mobile, Hybrid, and On-line Learning (2009)

CollabEd is a platform for easily collaboratizing linear editing systems. We will describe our modular design, which is geared toward building CollabEd plugins for existing editors and eliminating the need for developers to provide or understand the networking and data consistency controls required for real-time, synchronous collaborative editing. In this paper we showcase our open-source CollabEd application already ported for use with a number of popular programming editors (Eclipse, NetBeans, jEdit, etc.) and a drawing program (DrawSWF). The CollabEd platform is built on top of our optimistic replication data-model (MSET) that preserves local-site editing response time without the use of operational transformation. One of the features we will highlight is the ability to save collaboration sessions for later playback with user-specific editing statistics.
Asynchronous Iterated Prisoner's Dilemma
Authors: David Newth
Venue: Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems (2009)

The prisoner's dilemma is widely accepted as a standard model for studying the emergence of mutual cooperation within populations of selfish individuals. Simulation studies of the prisoner's dilemma, where players make probabilistic choices based on previous actions, find that strategies such as win-stay-lose-shift, tit-for-tat, and firm-but-fair come to dominate the long-term behavior of the population. Often, these models assume that decisions are made in synchrony. In many biological contexts, this is an unrealistic assumption, as individuals change their behavior on different and uncorrelated timescales. Here we develop a model where both, one, or neither of the players can update their behavior at any time. This study demonstrates that as the assumption of synchrony is relaxed, less reactive and more generous strategies such as firm-but-fair dominate the long-term population dynamics.
Local Separability Assessment: A Novel Feature Selection Method for Multimedia Applications
Authors: Kun Tao, Shou-Xun Lin, Yong-Dong Zhang, Sheng Tang
Venue: Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing (2008)

Feature selection technology can help to reduce feature redundancy and improve classification performance. Most general feature selection methods do not perform well on high-dimension large-scale data sets of multimedia applications. In this paper we propose a novel feature selection method named Local Separability Assessment. We try to measure the separation level of samples in subregions of feature space, and integrate them for evaluating the separability of features. Our method has favorable performance on large-scale continuous data sets, and requires no priori hypothesis on data distribution. The experiments on various applications have proved its excellence.
Knowledge Extraction from Diagram and Text for Media Integration
Venue: Proceedings of the 1996 International Conference on Multimedia Computing and Systems (1996)

This paper introduces a new framework for knowledge extraction from written texts and diagrams and utilization of the obtained knowledge. We usually use combination of multiple media for effective communication. To realize this mechanism as a hyper-medium, we propose a noble idea of media integration. First, the correlation between the two media is analyzed to automatically interpret the semantic structure of both media. The integrated hyper-medium obtained as the result of the correspondence and the semantic interpretation is quite useful to derive knowledge about topics being described. To demonstrate the usefulness of the integrated media, we have constructed a prototype system for flexible explanation generation. Various kinds of explanation can be generated in our system. 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
Some problems in associative processor applications to data base management
Authors: P. Bruce Berra
Venue: Proceedings of the May 6-10, 1974, national computer conference and exposition (1974)

Associative memories and processors have been discussed in the literature for the past 15 years and a small number of hardware devices have actually been built. The usefulness of these devices can only be proven through actual applications. A number of these applications have been considered and include air traffic control, computer graphics, information retrieval, numerical analysis, networks and among others, data base management.
Complex spread spectrum in uplink line of mobile link systems CDMA2000 and UMTS
Authors: Petar Petrov, Valentin Mutkov
Venue: Proceedings of the 9th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing (2008)

The organization of the dedicated physical channels and the complex spread spectrum in uplink line of mobile link systems are considered. The principle of constructing OCQPSK-modulators is analysed.
Six Conjectures in Quantum Physics and Computational Neuroscience
Authors: Wen-Ran Zhang
Venue: Proceedings of the 2009 Third International Conference on Quantum, Nano and Micro Technologies (2009)

A paradox on Hilbert's problem 6 is identified. To avoid the paradox, equilibrium-based YinYang bipolar sets and bipolar dynamic logic (BDL) are introduced. Bipolar quantum entanglement is defined. BDL leads to a bipolar axiomatization for physics. Applicability of BDL is discussed. Six conjectures in quantum physics and computational neuro&not;science are posted.
Development Support for Specifying and Monitoring Goals of Open Business Processes
Authors: William N. Robinson, Sandeep Purao
Venue: Proceedings of the 2008 International Workshop on Service-Oriented Computing Consequences for Engineering Requirements (2008)

Business processes are increasingly complex and open because they rely on services that are distributed geographically and across organizations. As a result, they are prone to several points of failure. Monitoring, therefore, remains an important concern. We describe services monitoring support that integrates monitoring into common development activities. A flexible monitoring toolkit, REQMON, is the basis of the support. SERMON extends REQMON to support commitment-based property specification, which simplifies monitoring of open services. We show how to develop and apply such specialized monitoring as part of the best practices of development.
Segmentation According to Natural Examples: Learning Static Segmentation from Motion Segmentation
Authors: Michael G. Ross, Leslie Pack Kaelbling
Venue: IEEE Transactions on Pattern Analysis and Machine Intelligence (2009)

The Segmentation According to Natural Examples (SANE) algorithm learns to segment objects in static images from video training data. SANE uses background subtraction to find the segmentation of moving objects in videos. This provides object segmentation information for each video frame. The collection of frames and segmentations forms a training set that SANE uses to learn the image and shape properties of the observed motion boundaries. When presented with new static images, the trained model infers segmentations similar to the observed motion segmentations. SANE is a general method for learning environment-specific segmentation models. Because it can automatically generate training data from video, it can adapt to a new environment and new objects with relative ease, an advantage over untrained segmentation methods or those that require human-labeled training data. By using the local shape information in the training data, it outperforms a trained local boundary detector. Its performance is competitive with a trained top-down segmentation algorithm that uses global shape. The shape information it learns from one class of objects can assist the segmentation of other classes.
Indexing by Shape of Image Databases Based on Extended Grid Files
Authors: Carlo Combi, Gian Luca Foresti, Massimo Franceschet, Angelo Montanari
Venue: Proceedings of the 1999 IEEE International Conference on Multimedia Computing and Systems - Volume 02 (1999)

In this paper, we propose an original indexing by shape of image databases based on extended grid files. We first introduce a recently developed shape description method and tailor it to obtain suitable representation structures for image databases. Then, in order to efficiently support image retrieval, we define an indexing structure based on grid files. Since grid files were originally developed to speed up point (exact match) and range (nearest neighbors within a threshold) queries on multidimensional data with a fixed number of attributes, we extend them to cope with data provided with a varying number of attributes and to deal with a new class of queries relevant to image databases, namely, nearest neighbor queries. We give a detailed description of the proposed search algorithms and a systematic analysis of their complexity, and discuss the outcomes of some experimental tests on sample image databases.
Market-Based Batch System
Authors: Michal Koštál, Pavel Tvrdík
Venue: Proceedings of the 2009 Third International Conference on Digital Society (2009)

We live in a world where is no problem to own quite powerful workstation. However, despite of such concepts like volunteer computing, grid and cluster computing, there is still a high number of idle workstations that are wasting their computational potentials. We believe that better utilization of an idle computing power can be achieved by economical stimulations. In our recent work, we designed a platform for general purpose computing based on a concept of non-dedicated cluster. In this paper, we proposes a market-based batch system concept, where any cluster user can register his task for an execution on a task board. Any processor can than retrieve the task, execute it and write back its result for a price it chooses. This price can be negotiated by better offer from other processor in a cluster. We implemented this mechanism and made a couple of experiments, that show this concept as a quite promising to be used in a system of resource distribution for non-dedicated cluster.
Updating the attitudes toward computer usage scale using American undergraduate students
Authors: Samantha A. Morris, Nicole L. Gullekson, Brendan J. Morse, Paula M. Popovich
Venue: Computers in Human Behavior (2009)

The Attitudes Toward Computer Usage Scale (ATCUS) was first developed in 1986 by [Popovich, P. M., Hyde, K. R., Zakrajsek, T., & Blumer, C. (1987). The development of the attitudes toward computer usage scale. Educational and Psychological Measurement, 47, 261-269.] using American undergraduates and has since been with a variety of populations over the past 20 years. However, many changes in the technological landscape have occurred since its development, thus creating a need for an updated scale. During the course of a three-part study, the ATCUS v. 2.0 was developed with psychometric properties similar to that of the original ATCUS. The addition of more up-to-date items to serves to enhance the usefulness and practicality of this instrument. The ATCUS v. 2.0 was found to have both high internal consistency, alpha=.83 and test-retest reliability, r=.93.
Tabletop displays for small group study: affordances of paper and digital materials
Authors: Anne Marie Piper, James D. Hollan
Venue: Proceedings of the 27th international conference on Human factors in computing systems (2009)

In this paper we compare the affordances of presenting educational material on a tabletop display with presenting the same material using traditional paper handouts. Ten pairs of undergraduate students used digital or paper materials to prepare for exams during four one-hour study sessions over the course of a term. Students studying with the tabletop display solved problems on their own before resorting to answer keys and repeated activities more often than students studying with paper documents. We summarize study activities and discuss the benefits and drawbacks of each medium.
Chaos in the APFM nonlinear adaptive filter
Authors: Mohammad Saleh Tavazoei, Mohammad Haeri
Venue: Signal Processing (2009)

In this paper, we show that an amplitude phase frequency model (APFM) which is used as a nonlinear adaptive filter in signal processing can exhibit chaotic behavior. It is illustrated that both frequency and amplitude of the input components have effect on the filter characteristics which can lead the filter to behave chaotically for some values of these parameters. We have exploited different measures such as the Lyapunov exponents, bifurcation diagram, sensitivity to initial condition, and 0-1 test on time series to confirm our claim. Existence of the chaotic behavior in APFM does not conform to the prior conjectures about this filter.
Inapproximability of Combinatorial Public Projects
Authors: Michael Schapira, Yaron Singer
Venue: Proceedings of the 4th International Workshop on Internet and Network Economics (2008)

We study the Combinatorial Public Project Problem (CPPP) in which n agents are assigned a subset of m resources of size k so as to maximize the social welfare. Combinatorial public projects are an abstraction of many resource-assignment problems (Internet-related network design, elections, etc.). It is known that if all agents have submodular valuations then a constant approximation is achievable in polynomial time. However, submodularity is a strong assumption that does not always hold in practice. We show that (unlike similar problems such as combinatorial auctions) even slight relaxations of the submodularity assumption result in non-constant lower bounds for approximation.
The Research and Design of the Belt Grinder which Based on PLC
Authors: Huiqiang Wang, Jianjun Cui, Ying Zheng, Minying Hu
Venue: Proceedings of the 2009 International Asia Conference on Informatics in Control, Automation and Robotics (2009)

The main introduction is the PLC and the touching screen which to control a new type of belt grinder, narrates its working principle, simultaneously introduces its design of the hardware and the software. This new type of belt grinding, which uses PLC as the control system core, and use the frequency converter to achieve the speed of the belt stepless adjustable and automatic control. This new type machine which can replace the belt On-line, and change the operating parameters on-line. It is improve the the automation level of the belt grinding,and enhance the adaptability to the different materials.
Expert system for thermal diagnosis for main equipment in a fossil power plant
Authors: Alfredo Espinosa, Venecia Zambrano, Agustín Quintero
Venue: Proceedings of the 8th conference on Applied informatics and communications (2008)

This paper shows the integration process of a case based reasoning expert system into a real-time information system for supervision and diagnosis of the operative conditions for the main equipment in a fossil power plant (thermal power station). The stages of analysis, development, integration and tests are described. Settles down the architecture used to integrate an expert system that based on behavior indicators (calculated in real-time), is able to identify low performance situations in the main processes equipment in a fossil power plant, as well as to emit a diagnosis of the current state for the equipment and the recommendations for maintenance.
Do We Practise What We Preach in Formulating Our Design and Development Methods?
Authors: Paula Kotzé, Karen Renaud
Venue: Engineering Interactive Systems: EIS 2007 Joint Working Conferences, EHCI 2007, DSV-IS 2007, HCSE 2007, Salamanca, Spain, March 22-24, 2007. Selected Papers (2008)

It is important, for our credibility as user interface designers and educators, that we practice what we preach. Many system designers and programmers remain sceptical about the need for user-centred design. To win them over, we need to be absolutely clear about what they need to do. We, as a community, propose many different methods to support naïve designers so that they will design and implement user-centred systems. One of the most popular methods is HCI design patterns --- captured and formulated by experts for the sole purpose of transferring knowledge to novices. In this paper we investigate the usability of these patterns, using both theoretical and experimental analysis, and conclude that they are not usable. Hence, unfortunately, we have to conclude that we don't practice what we preach. We conclude the paper by making some suggestions about how we can address this situation.
FAIR: fuzzy-based aggregation providing in-network resilience for real-time wireless sensor networks
Authors: Emiliano De Cristofaro, Jens-Matthias Bohli, Dirk Westhoff
Venue: Proceedings of the second ACM conference on Wireless network security (2009)

This work introduces FAIR, a novel framework for <u>F</u>uzzy-based Aggregation providing In-network Resilience for Wireless Sensor Networks (WSN). FAIR addresses the possibility of malicious aggregator nodes manipulating data. It provides data-integrity based on a trust level of the WSN response and it tolerates link or node failures. Compared to available solutions, it offers a general aggregation model and makes the trust level visible to the querier. We classify the proposed approach as complementary to protocols ensuring resilience against sensor leaf nodes providing faulty data. Thanks to our flexible resilient framework and due to the use of Fuzzy Inference Schemes, we achieve promising results within a short design cycle.
Guest Editors&rsquo; Introduction to Security in Reconfigurable Systems Design
Authors: Patrick R. Schaumont, Alex K. Jones, Steve Trimberger
Venue: ACM Transactions on Reconfigurable Technology and Systems (TRETS) (2009)

This special issue on Security in Reconfigurable Systems Design reports on recent research results in the design and implementation of trustworthy reconfigurable systems. Five articles cover topics including power-efficient implementation of public-key cryptography, side-channel analysis of electromagnetic radiation, side-channel resistant design, design of robust unclonable functions on an FPGA, and Trojan detection in an FPGA bitstream.
Outsourcing as a strategy for IT harmonization: a public sector case study proposing an approach in independent stakeholder scenarios
Authors: Christian Sterba, Thomas Grechenig, Martin Pazderka
Venue: Proceedings of the 2nd International Conference on Theory and Practice of Electronic Governance (2008)

The paper deals with the decision process for IT outsourcing as a governance strategy for IT harmonization. IT harmonization is the standardization of IT solutions and IT functionality within former autonomously acting organizational units with independently grown IT departments. A case study shows the migration and implementation of a lead e-government application in the Austrian federal administration, where records management and workflows were previously operating independently in government agencies. Harmonization has been accomplished via a directed outsourcing decision which also supported the process of harmonizing IT governance. Sourcing design has proven to be crucial in that case, as several stakeholders presented different principle objectives. The approach of the outsourcing decision within the case study is analyzed by examining the decision process and interviewing major participants of the project.