ppxscal/embedding_network huggingface dataset:
Identification of suspicious, unknown event patterns in an event cloud
Authors: Alexander Widder, Rainer v. Ammon, Philippe Schaeffer, Christian Wolff
Venue: Proceedings of the 2007 inaugural international conference on Distributed event-based systems (2007)

This paper describes an approach to detect unknown event patterns. In this context, an event is not only something that happens, but also something that can be analysed. This task is processed by a Complex Event Processing (CEP) engine. CEP is an emerging technology for detecting known patterns of events and correlating them to complex events in real-time. In order to reach the goal of finding unknown patterns, several known detection algorithms are discussed. In our work, we focus on discriminant analysis used for recognizing unknown patterns for the use case of credit card transactions and the fraud problem connected with this kind of payment. It is necessary to develop new methods of fraud detection and prevention because of the negative impacts for vendors and customers caused by credit card fraudsters at present. At the same time we would like to make provisions for the more sophisticated fraud methods that will occur in the future.
Peer-to-Peer-Based Model-Management for Cross-Organizational Business
Authors: Philipp Walter, Dirk Werth, Peter Loos
Venue: Proceedings of the 15th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises (2006)

Business process modeling has been developed for the single enterprise or more generally, for single actor environments. Furthermore, most process model management tools presume the usage within a closed community (e.g. a single enterprise), that is characterized by a central control unit (hierarchical management structure). Within collaborative businesses, there is a lack of centralized structures. Instead, the organizations are autonomously acting and they control only a partial area of the overall collaborative business process. In contrast to the intra-organizational case, cross-organizational model management imposes several organizational and technological challenges that results from the multiple-independent- actors-environment of collaborations. In such environments, 'conventional' process management tools mainly fail. This paper proposes a concept to handle cross-enterprise-spanning business process models using peer-to-peer technology. Furthermore, we investigate mechanisms to construct such processes based on the same technological base.
Comparison of Feature Extractors in License Plate Recognition
Authors: Siti Norul Huda Sheikh Abdullah, Marzuki Khalid, Rubiyah Yusof, Khairuddin Omar
Venue: Proceedings of the First Asia International Conference on Modelling & Simulation (2007)

Vehicle license plate recognition has been intensively studied in many countries. Due to the different types of license plates being used, the requirement of an automatic license plate recognition system is different for each country. In this paper, an automatic license plate recognition system is proposed for Malaysian vehicles with standard license plates using blob labeling and clustering for segmentation, seven popular and one proposed edge detectors for feature extraction and neural networks for classification.There were eight experiments conducted using eight different edge dectectors: Kirsch, Sobel, Laplacian, Wallis, Prewitt, Frei Chen and a proposed edge detector. The result had shown kirsch edge detectors is the best technique for feature exractor while the proposed achieved better results compared to Prewitt, Frei Chen and Wallis.
An experiment that validates theory with measurements for a large-aperture microphone array
Authors: H. F. Silverman
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 05 (2001)

Poor sound pick up by remote microphones in multimedia applications, conference rooms and auditoria has traditionally hampered speech recognition and communication among spatially-separated groups. The problems are reverberation, acoustic noise, and the variability of the radiation pattern of unconstrained talkers. One potential solution that is becoming increasingly practical is to use an array of microphones and sophisticated signal processing. In this paper a brief description of a large, real-time, working system is presented and its measured beamforming performance is compared to what is predicted from a mathematical model. A combination of a synchronized test signal/system and a careful mathematical model results in the performances matching surprisingly well. From this match of theory to practice, we are able to draw some important inferences about future system improvements.
Unified formulation of closed-form estimators for blind source separation in real instantaneous linear mixtures
Authors: V. Zarzoso
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 05 (2000)

This contribution provides a unified framework for the analytic or closed-form estimators for blind separation of independent source signals in real-valued instantaneous linear mixtures, in the noiseless two-source two-sensor scenario. First, the connections among three existing 4th-order analytic formulae (CF, AML and EML) are clarified. Next, a general expression for the estimation of the relevant separation parameter from the data nth-order statistics is unveiled, of which the extended maximum likelihood (EML) estimator is a particular case at n=4, and from which a novel third-order estimator is derived at n=3. Asymptotic performance analysis results are also presented. Associated contrast-function optimization criteria are shown to extend the applicability of a known 4th-order contrast function in the two-signal case. Simulations illustrate and validate the theoretical exposition.
Infrastructure-Aware Autonomic Manager for Change Management
Authors: H. AbdelSalam, K. Maly, R. Mukkamala, M. Zubair
Venue: Proceedings of the Eighth IEEE International Workshop on Policies for Distributed Systems and Networks (2007)

Typical IT Environments of medium to large size organizations consist of tens of networks that connect hundreds of servers to support the running of a large variety of business-relevant applications; usually from different vendors. Change Management is an important management processes that, if automated, can have a direct impact on increasing service availability in IT environments. Although such automation is considered important, the requirements of the appropriate policy engine, and policy language to express both high level and low level policies are far from clear. In this paper, we report our experiences in addressing these problems. In particular, we concentrate on availability policies --- policies through which IT managers express the required availability of systems --- and the autonomic manager that enforces them.
Mining the Most Reliable Association Rules with Composite Items
Authors: Ke Wang, James N. K. Liu, Wei-min Ma
Venue: Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops (2006)

The issue of mining association rules with composite items was proposed several years ago. Algorithms with composite items have the potential to discover rules which cannot be found out by other algorithms without composite items. However, much redundant rules which are of trivial significance or even incorrect will be also discovered by these algorithms in certain cases. In this paper, we design a Novel Frequent-Pattern tree for finding large composite items first. And then how to measure the reliability of these discovered rules with composite items in order to find out the most reliable association rules is discussed.
ERP systems adoption: An exploratory study of the organizational factors and impacts of ERP success
Authors: Chuck C. H. Law, Eric W. T. Ngai
Venue: Information and Management (2007)

We examined the relationships between the success of ERP system adoption, extent of business process improvement (BPI), and organizational performance and investigated the associations between the outcomes of these initiatives and such organizational factors as strategic intent, senior management support, and the status of the IT function within a company. A correlation analysis of 96 firms was made to test our hypothesis that the strategic intent to use ERP was closely related to the success of BPI, ERP, and organizational performance. The results also demonstrated that CEO-IT distance may have little direct bearing on the outcomes of ERP and BPI initiatives. A closer CEO-IT reporting relationship, however, was found to be associated with higher levels of senior management support for both types of enterprise projects. This empirical evidence reinforced the long-held assumption that organization-level benefits, BPI, and ERP success were closely related; and that these relationships were subject to the influence of the organizational variables.
A blind projection receiver for coded CDMA systems
Authors: Shan Mo
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 05 (1999)

This paper presents a blind adaptive CDMA receiver that requires no knowledge of the spreading codes, the delays, and the energy of the received signals associated with the interfering users. Our receiver is based on linear interference cancellation and adaptive interference signal subspace tracking. It has error control coding embedded in the detector structure and employs "branch processing" to detect the bit stream. Simulation results demonstrating that the receiver suffers negligible performance loss over systems with complete knowledge of the interfering users are presented.
Markerless monocular motion capture using image features and physical constraints
Authors: Yisheng Chen, J. Lee, R. Parent, R. Machiraju
Venue: Proceedings of the Computer Graphics International 2005 (2005)

We present a technique to extract motion parameters of a human figure from a single video stream. Our goal is to prototype motion synthesis rapidly for game design and animation applications. For example, our approach is especially useful in situations where motion capture systems are restricted in their usefulness given the various required instrumentation. Similarly, our approach can be used to synthesize motion from archival footage. By extracting the silhouette of the foreground figure and using a model-based approach, the problem is re-formulated as a local, optimized search of the pose space. The pose space consists of 6 rigid body transformation parameters plus the internal joint angles of the figure. The silhouette of the figure from the captured video is compared against the silhouette of a synthetic figure using a pixel-by-pixel, distance-based cost function to evaluate goodness-of-fit. For a single video stream, this is not without problems. Occlusion and ambiguities arising from the use of a single view often cause spurious reconstruction of the captured motion. By using temporal coherence, physical constraints, and knowledge of the anatomy, a viable pose sequence can be reconstructed for many live-action sequences.
Key frame selection by motion analysis
Authors: W. Wolf
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02 (1996)

This paper describes a new algorithm for identifying key frames in shots from video programs. We use optical flow computations to identify local minima of motion in a shot-stillness emphasizes the image for the viewer. This technique allows us to identify both gestures which are emphasized by momentary pauses and camera motion which links together several distinct images in a single shot. Results show that our algorithm can successfully select several key frames from a single complex shot which effectively summarize the shot.
A Comparison of Scheduling Approaches for Mixed-Parallel Applications on Heterogeneous Platforms
Authors: Tchimou N'Takpe, Frederic Suter, Henri Casanova
Venue: Proceedings of the Sixth International Symposium on Parallel and Distributed Computing (2007)

Mixed-parallel applications can take advantage of large-scale computing platforms but scheduling them efficiently on such platforms is challenging. In this paper we compare the two main proposed approaches for solving this scheduling problem on a heterogeneous set of homogeneous clusters. We first modify previously proposed algorithms for both approaches and show that our modifications lead to significant improvements. We then perform a comparison of the modified algorithms in simulation over a wide range of application and platform conditions. We find that although both approaches have advantages, one of them is most likely the most appropriate for the majority of users.
A Self-Adaptive Extensible Embedded Processor
Authors: Lars Bauer, Muhammad Shafique, Dirk Teufel, Jorg Henkel
Venue: Proceedings of the First International Conference on Self-Adaptive and Self-Organizing Systems (2007)

Extensible embedded processors allow the designer to adapt the instruction set to a certain application profile. It is ei-ther done during design time or at run time. In the latter case it is fixed when which part of the instruction set is used. The processor is then configured according to a pre-defined schedule. Our approach goes a step further: our ex-tensible processor is self-adaptive. That means, during run time the processor analyzes the usage of Special Instruc-tions and self-adapts when and how these are used and con-figured. We show that this kind of self-adaptation leads to a high efficiency (e.g. performance per chip area, etc.) and is superior to state-of-the-art extensible processors. In this paper we present the main techniques of our novel self-adaptive approach. We evaluate by means of an H.264 Video Encoder.
An integrated model exploring sellers' strategies in eBay auctions
Authors: Jaeki Song, Jeff Baker
Venue: Electronic Commerce Research (2007)

This paper presents the results of a field study conducted to elucidate critical factors that determine sellers' net revenue in Internet auctions. Using two datasets of Internet auctions, one dataset for auctions of a DVD (N=378) and one for auctions of an MP3 player (N=412), we conduct multiple regression analysis to determine the impact of 10 seller-controlled variables on sellers' net revenue. We find at least partial support for all of our 13 hypotheses.
A new framework for identifying differentially expressed genes
Authors: Jie Li, Xianglong Tang, Wei Zhao, Jianhua Huang
Venue: Pattern Recognition (2007)

Microarrays have been widely used to classify cancer samples and discover the biological types, for example tumor versus normal phenotypes in cancer research. One of the challenging scientific tasks in the post-genomic epoch is how to identify a subset of differentially expressed genes from thousands of genes in microarray data which will enable us to understand the underlying molecular mechanisms of diseases, accurately diagnosing diseases and identifying novel therapeutic targets. In this paper, we propose a new framework for identifying differentially expressed genes. In the proposed framework, genes are ranked according to their residuals. The performance of the framework is assessed through applying it to several public microarray data. Experimental results show that the proposed method gives more robust and accurate rank than other statistical test methods, such as t-test, Wilcoxon rank sum test and KS-test. Another novelty of the method is that we design an algorithm for selecting a small subset of genes that show significant variation in expression (''outlier'' genes). The number of genes in the small subset can be controlled via an alterable window of confidence level. In addition, the results of the proposed method can be visualized. By observing the residual plot, we can easily find genes that show significant variation in two groups of samples and learn the degrees of differential expression of genes. Through a comparison study, we found several ''outlier'' genes which had been verified in previous biological experiments while they were either not identified by other methods or had lower ranks in standard statistical tests.
Changing missions [engineering education programmes]
Authors: D. A. Niemeier
Venue: Proceedings of the Frontiers in Education Conference,1997. on 27th Annual Conference. Teaching and Learning in an Era of Change. - Volume 01 (1997)

Summary form only given. Today, the United States faces unprecedented environmental and technological challenges. New and significant advances will require universities to produce first rate scientists and engineers for universities, industry, research laboratories, consulting firms and government. The contemporary scientist/engineer must not only be well-versed in their own discipline but also be able to work comfortably at the interfaces. Moreover, the demographics of California and the US nation clearly show that in order to meet these challenges, we must include and advance greater numbers of underrepresented minorities and women to positions of leadership in science and engineering. The University of California, Davis, College of Engineering and College of letters and Science, Division of Mathematical and Physical Sciences, recently proposed to the Alfred P. Sloan Foundation that a new coordinated model program be developed to facilitate and motivate access to the faculty, students, facilities and experiences that provide the framework for a science or engineering career. The purpose of this talk is to present the model proposed to Sloan and to discuss the expected development of the model program components over the next three years. In addition, the talk discusses issues associated with the changing academic and political climate in California and the process used to develop the model program.
Soft Finger Model with Adaptive Contact Geometry for Grasping and Manipulation Tasks
Authors: Matei Ciocarlie, Claire Lackner, Peter Allen
Venue: Proceedings of the Second Joint EuroHaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (2007)

This paper presents a method for building analytical contact models for soft fingers. Friction constraints are derived based on general expressions for non-planar contacts of elastic bodies, taking into account the local geometry and structure of the objects in contact. These constraints are then formulated as a linear complementarity problem, the solution of which provides the normal and frictional forces applied at each contact, as well as the relative velocity of the bodies involved. This approach captures frictional effects such as coupling between tangential force and frictional torque. We illustrate this method by analyzing manipulation tasks performed by an anthropomorphic robotic hand equipped with soft fingerpads.
Sharing innovation: the NSF Foundation Coalition
Authors: K. Frair
Venue: Proceedings of the 28th Annual Frontiers in Education - Volume 03 (1998)

Summary form only given. The Foundation Coalition was funded in 1993 as the Fifth coalition in the National Science Foundation's Engineering Education Coalitions Program and is currently in the sixth year of a ten-year project. At the end of the first five-year funding period, the Coalition underwent some restructuring. A primary objective for the next five years is the sharing of Foundation Coalition-developed innovations with the rest of the engineering education community. In order to better reach the engineering education community at large, we will establish a Foundation Coalition "virtual repository". The repository will provide a database of specific information regarding Foundation Coalition activities. Users can use this repository to quickly and easily identify one or more contact people who are available to provide assistance, advice, and expertise on questions that they might have regarding a Foundation Coalition innovation or activity. We will track the use of the repository to see what questions people are asking in order to continuously improve our sharing mechanisms. In addition, we will focus on directed dissemination/sharing through an expanding network of Affiliate campuses, a concept new to the Foundation Coalition. Partner and Affiliate campuses will equally share the responsibility associated with the transfer of Foundation Coalition concepts and ideas. Affiliate campuses are interested in the directions the Foundation Coalition has established, but have not committed to a broad spectrum of curriculum restructuring activities and their institutionalization.
Free-Form Geometric Modeling by Integrating Parametric and Implicit PDEs
Authors: Haixia Du Hong Qin
Venue: IEEE Transactions on Visualization and Computer Graphics (2007)

Parametric PDE techniques, which use partial differential equations (PDEs) defined over a 2D or 3D parametric domain to model graphical objects and processes, can unify geometric attributes and functional constraints of the models. PDEs can also model implicit shapes defined by level sets of scalar intensity fields. In this paper, we present an approach that integrates parametric and implicit trivariate PDEs to define geometric solid models containing both geometric information and intensity distribution subject to flexible boundary conditions. The integrated formulation of second-order or fourth-order elliptic PDEs permits designers to manipulate PDE objects of complex geometry and/or arbitrary topology through direct sculpting and free-form modeling. We developed a PDE-based geometric modeling system for shape design and manipulation of PDE objects. The integration of implicit PDEs with parametric geometry offers more general and arbitrary shape blending and free-form modeling for objects with intensity attributes than pure geometric models.
Continuous LODs and Adaptive Frame-Rate Control for Spherical Light Fields
Authors: Alejandro Domingo, Miguel Escriva, Francisco Abad, Javier Lluch, Emilio Camahort, Roberto Vivo
Venue: Proceedings of the Geometric Modelling and Imaging (2007)

Light fields are an image-based representation that represents objects using sets of digital images. Light fields are usually comprised of 4D radiance data that can be used for 3D rendering or 4D display on autostereoscopic and certain types of volumetric displays. We present a modeling and rendering system for spherical isotropic light fields. These are made of images captured with cameras placed on a sphere's surface looking inwards. The system implements a multiresolution representation for both the spatial and the directional domains of the light field. This representation supports continuous levels of detail and adaptive frame rate control.
Distance education and its impact on computer engineering laboratories
Authors: A. Striegel
Venue: Proceedings of the Frontiers in Education Conference, 2001. 31st Annual - Volume 02 (2001)

As technology has evolved with the rapid growth of the Internet, it is only natural that the standard computer engineering curriculum must also adapt and change as well. As a result of this new technology and proliferation of Internet access to the general public, there have been strong pushes to disseminate knowledge using these new technologies. However, delivering the hands-on laboratories normally associated with computer engineering is a nontrivial task. This paper investigates the difficulties and potential solutions for providing high quality laboratories through distance education. The paper also investigates a case study in adapting a computer engineering laboratory for distance education.