ppxscal/embedding_network huggingface dataset:
Bridging Architectural Boundaries Design and Implementation of a Semantic BPM and SOA Governance Tool
Authors: Christoph F. Strnadl
Venue: Proceedings of the 5th international conference on Service-Oriented Computing (2007)

In order to increase IT and business agility or to improve IT systems and business processes integration many organizations are currently implementing business process management systems (BPMS) or adopting a service-oriented architecture (SOA) paradigm. However, in doing so, IT complexity will admittedly increase and IT managers then are in need of effective governance techniques covering both strategic initiatives, BPM and SOA. This contribution re-examines the problem domain in the novel Enhanced Process-Driven Architecture (ePDA) model in order to systematically derive the requirements for combined BPM and SOA governance. We then formulate a semantic meta model capable of capturing necessary artifacts and describe its technical implementation in Software AG's and Fujitsu's joint CentraSite governance re gis try/repository. As "lessons learned" from several projects we systematically derive governance benefits using the Analytic Hierarchy Process (AHP) and highlight measures on software deployment issues.
On Using Peer-to-Peer Communication in Cellular Wireless Data Networks
Authors: Hung-Yun Hsieh, Raghupathy Sivakumar
Venue: IEEE Transactions on Mobile Computing (2004)

A recent class of approaches for enhancing the performance of cellular wireless data networks has focused on improving the underlying network model. It has been shown that using the peer-to-peer network model, a mode of communication typically seen in ad hoc wireless networks, can result in performance improvements such as increased data rate, reduced transmission power, better load balancing, and enhanced network coverage. However, the true impact of adopting the peer-to-peer network model in such an environment is yet to be fully understood. In this paper, we investigate the performance benefits and drawbacks of using the peer-to-peer network model for Internet access in cellular wireless data networks. We find that, although the peer-to-peer network model has significantly better spatial reuse characteristics, the improved spatial reuse does not translate into better throughput performance. Instead, we observe that using the peer-to-peer network model as-is might actually degrade the throughput performance of the network. We identify and discuss the reasons behind these observations. Using the insights gained through the performance evaluations, we then propose two categories of approaches to improve the performance of the peer-to-peer network model: approaches that leverage assistance from the base station and approaches that leverage the relaying capability of multihomed hosts. Through simulation results, we show that using the peer-to-peer network model in cellular wireless data networks is a promising approach when the network model is complemented with appropriate mechanisms.
A factuality profiler for eventualities in text
Authors: James Pustejovsky
Venue:  (2008)

Event factuality is the level of information expressing the factual status of eventualities mentioned in text. That is, it conveys whether eventualities are characterized as corresponding to facts, to possibilities, or to situations that do not hold in the world. As such, it touches on two categories more standardly assumed in the literature: modality and evidentiality. They both have been widely discussed in linguistics and philosophy, but it is not until recently that have started to receive some attention within the area of NLP. Factuality is a necessary component for reasoning about eventualities in discourse. Inferences derived from events that have not happened, or that are possible, are different from those derived from events judged as factual. It is also essential for any task involving temporal ordering. The creation of event timelines needs to be aware of the different status of eventualities presented as uncertain or counterfactual. My dissertation aims at designing and developing a factuality profiler, namely a tool devoted to the identification of the factuality degree associated to eventualities mentioned in discourse. Event factuality cannot be conceived independently from language users, who are understood here as the sources of factuality information. Their inclusion in the model is fundamental. Two sources can assign different factuality values to the same event. Because of that, the factuality profiler must be capable of representing different and possibly contradictory information about the factuality nature of any event. De Facto, the tool I am presenting here, is grounded on the linguistic strategies we speakers employ to signal degrees of factuality in discourse. These involve information at different levels: lexical, syntactic, and rhetoric. De Facto implements an algorithm based on the grammatical structuring of factuality in languages like English, and is informed with a set of linguistic resources compiled from a data-driven approach. For evaluating De Facto, I created FactBank, a corpus annotated with factuality information. The interannotation agreement score for the task of assigning factuality values to events is kcohen = 0.81. Running De Facto against the gold standard results in F1=0.74 (macro-averaging), F1=0.85 (micro-averaging) and, in terms of interannotation agreement, kcohen =0.72.
Model-Driven Metadata for OLAP Cubes from the Conceptual Modelling of Data Warehouses
Authors: Jesús Pardillo, Jose-Norberto Mazón, Juan Trujillo
Venue: Proceedings of the 10th international conference on Data Warehousing and Knowledge Discovery (2008)

The development of a data warehouse is based on the definition of a conceptual multidimensional model. This model is used to obtain the required database metadata for implementing the data- warehouse repository. Surprisingly, current approaches for multidimensional modelling overlook the necessity of generating additional data-cube metadata to allow end-user tools to query the data warehouse. To overcome this situation, we propose an approach based on "model-driven engineering" techniques in order to automatically derive both kinds of metadata in a systematic and integrated way. Specifically, in this paper, we describe how to obtain the data-cube metadata for "on-line analytical processing" (OLAP) tools. As a proof of concept, our approach has been implemented in the Eclipse development platform, thus showing its feasibility.
A Light Number-Generation Scheme for Feasible and Secure Credit-Card-Payment Solutions
Authors: Francesco Buccafurri, Gianluca Lax
Venue: Proceedings of the 9th international conference on E-Commerce and Web Technologies (2008)

Disposable-number credit card is a recent approach to contrasting the severe problem of credit card fraud, nowadays constantly growing, especially in credit-card-based e-commerce payments. Whenever the solutions cannot rely on a secure extra communication channel between cardholder and issuer, the only possibility is to generate new numbers on the basis of some common scheme, starting from secret shared initial information. However, in order to make the approach feasible, the computational load both on issuer and customer side should be minimized, also to reduce the cost of user-side devices, keeping yet an adequate security level. In this paper we present a disposable-number credit card scheme meeting the above goals, going a step ahead w.r.t. the state of the art.
When Hybrid Learning Meets Blended Teaching: Online Computer-Mediated Communication (CMC) Discourse and Classroom Face-to-Face (FTF) Discourse Analysis
Authors: Zhichang Xu
Venue: Proceedings of the 1st international conference on Hybrid Learning and Education (2008)

This paper reports on a research project about the emerging hybrid or blended learning and teaching environments. These new environments result from the introduction of new technologies (e.g. `Blackboard' learning and teaching systems) into the educational setting. The new technologies, rendered as innovative tools in the education sector, have helped integrate the classroom and online learning environments into a variety of "productive spaces" referred to by researchers as "the third space" [1]. This research project has explored the major issues arising in this "third space" in a higher education institute in Hong Kong. These issues include 1) the relationship between the traditional knowledge transmission and the current technology-enhanced knowledge generation in education; 2) the changing relationship between the teachers and the students in the new learning and teaching environments; 3) the discourse nature of interactions through differing modes, e.g. face-to-face (FTF), and interactive electronic media. In addition, this project has also addressed, through a case study of two courses offered in the blended mode, the issues concerning the context and content of the two courses, and the opinions of the participants of these two courses towards the new learning and teaching mode.
A Fast and Accurate Progressive Algorithm for Training Transductive SVMs
Authors: Lei Wang, Huading Jia, Shixin Sun
Venue: Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III (2007)

This paper develops a fast and accurate algorithm for training transductive SVMs classifiers, which utilizes the classification information of unlabeled data in a progressive way. For improving the generalization accuracy further, we employ three important criteria to enhance the algorithm, i.e. confidence evaluation, suppression of labeled data, stopping with stabilization. Experimental results on several real world datasets confirm the effectiveness of these criteria and show that the new algorithm can reach to comparable accuracy as several state-of-the-art approaches for training transductive SVMs in much less training time.
An HMM Based System for Acoustic Event Detection
Authors: Christian Zieger
Venue: Multimodal Technologies for Perception of Humans: International Evaluation Workshops CLEAR 2007 and RT 2007, Baltimore, MD, USA, May 8-11, 2007, Revised Selected Papers (2008)

This paper deals with the CLEAR 2007 evaluation on the detection of acoustic events which happen during seminars. The proposed system first converts an audio sequence in a stream of MFCC features, then a detecting/classifying block identifies an acoustic event with time stamps and assign to it a label among all possible event labels. Identification and classification are based on Hidden Markov Models (HMM). The results, measured in terms of two metrics (accuracy and error rate) are obtained applying the implemented system on the interactive seminars collected under the CHIL project. Final not very good results highlight the task complexity. 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
Fuzzy Logic Control-Based Load Balancing Agent for Distributed RFID Systems
Authors: Sung Ho Jang, Jong Sik Lee
Venue: Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues (2008)

The current RFID system is based on a distributed computing system to process a great volume of tag data. Therefore, RFID M/W should provide load balancing for consistent and high system performance. Load balancing is a technique to solve workload imbalance among edge M/Ws and improve scalability of RFID systems. In this paper, we propose a fuzzy logic control-based load balancing agent for distributed RFID systems. The agent predicts data volume of an edge M/W and evaluates workload of the edge M/W by fuzzy logic control. And, the agent acquires workload information of an edge M/W group to which the edge M/W belongs. Also, the agent adjusts over and under-loaded workload according to a dynamic RFID load balancing algorithm. Experimental results demonstrates that the fuzzy logic control-based load balancing agent provides 95% and 6.5% reductions in overload time and processor usage and 13.7% and 12.2% improvements in throughput and turn around time as compared the mobile agent-based load balancing system.
An Evolutionary Approach for Vector Quantization Codebook Optimization
Authors: Carlos R. Azevedo, Esdras L. Bispo,  Jr., Tiago A. Ferreira, Francisco Madeiro, Marcelo S. Alencar
Venue: Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks (2008)

This paper proposes a hybrid evolutionary algorithm based on an accelerated version of K-means integrated with a modified genetic algorithm (GA) for vector quantization (VQ) codebook optimization. From simulation results involving image compression based on VQ, it is observed that the proposed method leads to better codebooks when compared with the conventional one (GA + standard K-means), in the sense that the former leads to higher peak signal-to-noise ratio (PSNR) results for the reconstructed images. Additionally, it is observed that the proposed method requires fewer GA generations (up to 40%) to achieve the best PSNR results produced by the conventional method.
From Exploration to Planning
Authors: Cornelius Weber, Jochen Triesch
Venue: Proceedings of the 18th international conference on Artificial Neural Networks, Part I (2008)

Learning and behaviour of mobile robots faces limitations. In reinforcement learning, for example, an agent learns a strategy to get to only one specific target point within a state space. However, we can grasp a visually localized object at any point in space or navigate to any position in a room. We present a neural network model in which an agent learns a model of the state space that allows him to get to an arbitrarily chosen goal via a short route. By randomly exploring the state space, the agent learns associations between two adjoining states and the action that links them. Given arbitrary starting and goal positions, route-finding is done in two steps. First, an activation gradient spreads around the goal position along the associative connections. Second, the agent uses state-action associations to determine the actions leading to ascend the gradient toward the goal. All mechanisms are biologically justifiable.
Burning Issues in Tomography Analysis
Authors: Kyungmin Ham, Heath A. Barnett, Leslie G. Butler
Venue: Computing in Science and Engineering (2008)

Polystyrene and other polymers can become safer when blended with flame retardants such as Saytex BT-93. In this installment, the authors discuss how to assess such blending's effectiveness using 3D multispectral imaging methods, such as synchrotron X-ray tomography.
The debate on Internet governance: From Geneva to Tunis and beyond
Authors: Markus Kummer
Venue: Information Polity (2007)

This article attempts to trace the history of the debate on Internet governance and tries to identify the main dimensions and subtexts of this debate. It does so from an insider perspective as the author was associated in the first phase of the WSIS as a governmental representative, was subsequently involved in the WGIG process, an observer at the second phase of the WSIS, watching proceedings from the sidelines, and an organiser of the first Internet Governance Forum in Athens, Greece in November 2006. The paper identifies and traces the themes and issues that have occupied participants in the processes surrounding Internet governance during three years from 2005.
Performance Assessment of IHS Fusion for Remote Sensing Images Based on Multiple Attribute Decision Making
Authors: Huapeng Zhang, Peijun Du, Zuoxia Yin
Venue: Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 4 - Volume 04 (2008)

Base on the traditional IHS (Intensity-Hue-Saturation) fusion and weighted IHS fusion algorithm, the adaptive weighted IHS information fusion based on local mean is discussed in this paper. Because the advantages and disadvantages of fusion algorithm have direct influences on the effect of remote sensing information fusion, the multiple attribute decision making method is proposed for assessing fusion algorithm. Finally, the effects of the different fusion IHS algorithm for remote sensing images are assessed using the decision making method for comparing the fusion effect. It proves that the proposed multi-attribute decision-making approach performs quite well for assessing the fusion algorithms.
Computations of Ground State and Excitation Energies of Poly(3-methoxy-thiophene) and Poly(thienylene vinylene) from First Principles
Authors: A. V. Gavrilenko, S. M. Black, A. C. Sykes, C. E. Bonner, V. I. Gavrilenko
Venue: Proceedings of the 8th international conference on Computational Science, Part II (2008)

Ground state and excitation energies of poly(3-methoxy-thio-phene) (PMT) and poly(thienylene vinylene) (PTV) conjugated polymers are studied by first principles density functional theory (DFT). Two basic approaches of computational chemistry and physics are compared: time dependent DFT (TDDFT) of clusters and ab initio pseudopotentials within a standard DFT (PP-DFT) of infinite polymer chains. We demonstrate that series of excitation energies of PMT calculated by TDDFT with increased unit numbers converge well to the real experimentally measured energy gaps. Combination of TDDFT cluster method with PP-DFT approach for infinite chain provides single-gap quasiparticle correction value needed for optical calculations. Infinite chain model is used to calculate optical absorption of PTV.
Security Challenges in Adaptive e-Health Processes
Authors: Michael Predeschly, Peter Dadam, Hilmar Acker
Venue: Proceedings of the 27th international conference on Computer Safety, Reliability, and Security (2008)

E-health scenarios demand system-based support of process-oriented information systems. As most of the processes in this domain have to be flexibly adapted to meet exceptional or unforeseen situations, flexible process-oriented information systems (POIS) are needed which support ad-hoc deviations at the process instance level. However, e-health scenarios are also very sensitive with regard to privacy issues. Therefore, an adequate access rights management is essential as well. The paper addresses challenges which occur when flexible POIS and adequate rights management have to be put together.
A Robust Moving Object Detection Approach
Authors: Fu Yuan Hu, Yan Ning Zhang, Hau San Wong, Quan Pan
Venue: Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 4 - Volume 04 (2008)

Chang detection is one of the most important research issues in the field of video processing. This paper presents an adaptive method of objects and shadows detection in video streams based on the HSI color space. Bi-models of background is set up via the minimum, the maximum and the largest interframe absolute difference of per static pixel, which are adaptively updated by synthesizing pixel level, object level and frame level method. In addition, motion region are built by three-level region chain structure to deal with the errors' detection results. Finally, we remove cast shadows using the generic properties of luminance, chrominance and gradient density in HSI color space. Experimental results and their evaluation verify the effectiveness and the robustness of the proposed approach.
Approximating Continuous Systems by Timed Automata
Authors: Oded Maler, Grégory Batt
Venue: Proceedings of the 1st international workshop on Formal Methods in Systems Biology (2008)

In this work we develop a new technique for over-approximating (in the sense of timed trace inclusion) continuous dynamical systems by timed automata. This technique refines commonly-used discrete abstractions which are often too coarse to be useful. The essence of our technique is the partition of the state space into cubes and the allocation of a clock for each dimension. This allows us to get much better approximations of the behavior. We specialize this technique to multi-affine systems, a class of nonlinear systems of primary importance for the analysis of biochemical systems and demonstrate its applicability on an example taken from synthetic biology.
Precise location tracking system based on time difference of arrival over LR-WPAN
Authors: Hyuntae Cho, Yeonsu Jung, Hoon Choi, Hyunsung Jang, Sanghyun Son, Yunju Baek
Venue: Proceedings of the first ACM international workshop on Mobile entity localization and tracking in GPS-less environments (2008)

As the era of ubiquitous computing approaches, there is a growing need for a reliable, efficient positioning and tracking system. Localization involves continuous determination and tracking of the location of assets and personnel. Localization using time difference of arrival (TDOA) involves determining the location of a tag by calculating the time difference of arrival of the signal received from the tag. In order to calculate the time difference of the signal, TDOA-based methods require precision time synchronization of within a few nanoseconds. This paper presents a location tracking system(LTS), which consists of readers, tags, and an engine, based on TDOA in IEEE 802.15.4. In addition, we propose a precise time measurement method and a precision time synchronization protocol which provides a common clock with an accuracy of within a few nanoseconds. The proposed precision time synchronization protocol results in accurate locating services. The performance shows that readers achieve precision time synchronization of within 5 nanoseconds from a reference clock, and the location tracking system has a location error of within 2 meters.
A Prototype of Multimedia Metadata Management System for Supporting the Integration of Heterogeneous Sources
Authors: Tie Hua Zhou, Byeong Mun Heo, Ling Wang, Yang Koo Lee, Duck Jin Chai, Keun Ho Ryu
Venue: Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues (2008)

With the advances in information technology, the amount of multimedia metadata captured, produced, and stored is increasing rapidly. As a consequence, multimedia content is widely used for many applications in today's world, and hence, a need for organizing multimedia metadata and accessing it from repositories with vast amount of information has been a driving stimulus both commercially and academically. MPEG-7 is expected to provide standardized description schemes for concise and unambiguous content description of data/documents of complex multimedia types. Meanwhile, other metadata or description schemes, such as Dublin Core, XML, TV-Anytime etc., are becoming popular in different application domains. In this paper, we present a new prototype Multimedia Metadata Management System. Our system is good at sharing the integration of multimedia metadata from heterogeneous sources. This system enables the collection, analysis and integration of multimedia metadata semantic description from some different kinds of services. (UCC, IPTV, VOD and Digital TV et al.)