ppxscal/embedding_network huggingface dataset:
Modeling a Realistic Workload for Performance Testing
Authors: Christof Lutteroth, Gerald Weber
Venue: Proceedings of the 2008 12th International IEEE Enterprise Distributed Object Computing Conference (2008)

Load testing of web applications can be specified by simulating realistic user behavior with stochastic form-oriented analysis models. Stochastic models have advantages over load test models that simply play back recorded session data: they are easier to specify and achieve a higher coverage of the different operational paths. There are challenges when specifying load tests such as the generation of form parameters and the recognition of pages returned by the system. We propose how these challenges can be overcome by adding additional specifications to a form-oriented model. Furthermore, we discuss several workload models and explain why some commonly used workload models are in fact unrealistic and produce misleading results. The stochastic form-oriented load testing approach can be generalized to deal with other submit-response systems such as those consisting of web services.
Systems Engineering Data Book (SEDB) -- A Product Baseline Definition and Tracking Tool
Authors: W. D. Deininger, C. M. Cottingham, L. Kanner, M. A. Verbeke
Venue: Proceedings of the 2008 19th International Conference on Systems Engineering (2008)

A program/project baseline is a reference configuration from which to identify and to control change. A complete baseline is explicit and specific and covers the program/project technical aspects, cost, schedule and risks. The set of documents that report a specific product technical baseline at Ball Aerospace & Technologies Corp. are referred to as the Systems Engineering Data Book (SEDB). The SEDB is a set of living documents, kept in electronic format and driven by segment owners, that matures as the program/project progresses towards final delivery. Due to the way various aspects of a product mature, not all sections of the SEDB are expected to be at the same level of maturity at the same time. A properly maintained SEDB forms the technical basis for program/project reviews for the various components of a product and serves as a communication tool within the team as the product matures.
Evolutionary Cellular Automata Based-Approach for Edge Detection
Authors: Sihem Slatnia, Mohamed Batouche, Kamal E. Melkemi
Venue: Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory (2007)

We use an evolutionary process to seek a specialized powerful rule of Cellular Automata (CA) among a set of best rules for extracting edges in a given black-white image. This best set of local rules determines the future state of CA in an asynchronous way. The Genetic Algorithm (GA) is applied to search the best CA rules that can realize better the edge detection.
The impact of collaborative technology in it and computer science education: harnessing the power of web 2.0
Authors: Nazli Hardy, Marcos Pinto, Hsinrong Wei
Venue: Proceedings of the 9th ACM SIGITE conference on Information technology education (2008)

The paper proposes incorporating Web 2.0 technology, for which students show a natural proclivity, in fundamental and introductory computer science and information technology course curricula to aid students to find clear links between the courses they are studying and some practical applications. We look at what makes the technology so popular and translate those factors to the classroom environment so as to take advantage of those particular attributes.
VITA - An Interactive 3-D Visualization System to Enhance Student Understanding of Mathematical Concepts in Medical Decision-Making
Authors: M. Sriram Iyengar, John R. Svirbely, Mirabela Rusu, Jack W. Smith
Venue: Proceedings of the 2008 21st IEEE International Symposium on Computer-Based Medical Systems (2008)

Diagnostic tests are characterized by multiple performance measures whose complex mutual interactions are difficult for medical and nursing students to understand. We describe VITA (Visual and Interactive Test Analysis), an interactive multi-dimensional visualization system designed to display the intricate, non-linear relationships between these measures. This version of VITA has a focus on post-test predictive values, sensitivity, specificity, prevalence, and test cut-offs. VITA can help students to understand and appreciate the complex non-linear relationships inherent in medical decision-making.
Towards a Methodology for Stabilizing the Gaze of a Quadrupedal Robot
Authors: Marek Marcinkiewicz, Mikhail Kunin, Simon Parsons, Elizabeth Sklar, Theodore Raphan
Venue: RoboCup 2006: Robot Soccer World Cup X (2006)

When a quadrupedal robot moves, the body and head pitch, yaw and roll, because of its stepping. This natural effect of body and head motion adversely effects the use of visual sensors embedded in the robot's head. Any object in the visual frame of the robot will, from the perspective of the robot, be subject to considerable unmodeled motion or slip. This problem does not affect mammals, which have vestibulo-collic and vestibulo-ocular reflexes that stabilize their gaze in space and maintain objects of interest approximately fixed on the retina. Our work is aimed towards constructing an artificial vestibular system for quadrupedal robots to maintain accurate gaze. This paper describes the first part of this work, wherein we have mounted an artificial vestibular system in a Sony aibo robot.
DGSim: Comparing Grid Resource Management Architectures through Trace-Based Simulation
Authors: Alexandru Iosup, Ozan Sonmez, Dick Epema
Venue: Proceedings of the 14th international Euro-Par conference on Parallel Processing (2008)

Many advances in grid resource management are still required to realize the grid computing vision of the integration of a world-wide computing infrastructure for scientific use. The pressure for advances is increased by the fast evolution of single, large clusters, which are the primary technological alternative to grids. However, advances in grid resource management cannot be achieved without an appropriate toolbox, of which simulation environments form an essential part. The current grid simulation environments still lack important workload and system modeling features, and research productivity features such as automated experiment setup and management. In this paper we address these issues through the design and a reference implementation of DGSim, a framework for simulating grid resource management architectures. DGSim introduces the concepts of grid evolution and of job selection policy, and extends towards realism the current body of knowledge on grid inter-operation, on grid dynamics, and on workload modeling. We also show through two real use cases how DGSim can be used to compare grid resource management architectures.
Public-Key Locally-Decodable Codes
Authors: Brett Hemenway, Rafail Ostrovsky
Venue: Proceedings of the 28th Annual conference on Cryptology: Advances in Cryptology (2008)

In this paper we introduce the notion of a Public-Key Encryption Scheme that is also a Locally-Decodable Error-Correcting Code (PKLDC). In particular, we allow any polynomial-time adversary to read the entire ciphertext, and corrupt a constant fraction of the bits of the entire ciphertext. Nevertheless, the decoding algorithm can recover any bit of the plaintext with all but negligible probability by reading only a sublinear number of bits of the (corrupted) ciphertext.We give a general construction of a PKLDC from any Semantically-Secure Public Key Encryption (SS-PKE) and any Private Information Retrieval (PIR) protocol. Since Homomorphic encryption implies PIR, we also show a reduction from any Homomorphic encryption protocol to PKLDC.Applying our construction to the best known PIR protocol (that of Gentry and Ramzan), we obtain a PKLDC, which for messages of size n and security parameter k achieves ciphertexts of size $\mathcal{O}(n)$, public key of size $\mathcal{O}(n+k)$, and locality of size $\mathcal{O}(k^2)$. This means that for messages of length n = ¿(k 2 + ¿ ), we can decode a bit of the plaintext from a corrupted ciphertext while doing computation sublinear in n.
Point/Counterpoint
Authors: Peter Sommerlad, James Noble
Venue: IEEE Software (2007)

"Point Argument: Design Patterns Are Bad for Software Design," by Peter Sommerlad. Design patterns make it too easy to introduce unnecessary complexity into system design and are much too often applied without discipline or experience. "Counterpoint Argument: "Every Good Designer Uses Patterns," by James Noble. Patterns are crucial to the art and science of software design and programming, rooted in hard-won practice and experience. This department is part of a special issue on software patterns.
Measuring Similarity between Business Process Models
Authors: Boudewijn Dongen, Remco Dijkman, Jan Mendling
Venue: Proceedings of the 20th international conference on Advanced Information Systems Engineering (2008)

Quality aspects become increasingly important when business process modeling is used in a large-scale enterprise setting. In order to facilitate a storage without redundancy and an efficient retrieval of relevant process models in model databases it is required to develop a theoretical understanding of how a degree of behavioral similarity can be defined. In this paper we address this challenge in a novel way. We use causal footprints as an abstract representation of the behavior captured by a process model, since they allow us to compare models defined in both formal modeling languages like Petri nets and informal ones like EPCs. Based on the causal footprint derived from two models we calculate their similarity based on the established vector space model from information retrieval. We validate this concept with an experiment using the SAP Reference Model and an implementation in the ProM framework.
A Novel Network Behavior Model Based on Generalized Cellular Automaton
Authors: Dianxun Shuai
Venue: Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence (2008)

Computer networks exhibit very complex behavior. To establish an effective model for network behavior is of significance for improving the network performance. This paper presents a new network behavior model based on generalized cellular automaton. The proposed model may take into consideration the different personality and autonomy of network entities, the social interactions among entities, and the influences of concurrent emergent events in networks.
A Preliminary Investigation of the Impact of Gaussian Versus t-Copula for Data Perturbation
Authors: Mario Trottini, Krish Muralidhar, Rathindra Sarathy
Venue: Proceedings of the UNESCO Chair in data privacy international conference on Privacy in Statistical Databases (2008)

In this paper, we provide a preliminary investigation of t-copulas for perturbing numerical confidential variables. A perturbation approach using Gaussian copulas has been proposed earlier. However, one of the problems with the Gaussian copulas is that it does not preserve tail dependence. In this investigation, we show that the t-copula can be used effectively to provide all the benefits that a Gaussian copula provides and, in addition, maintain tail dependence as well. We illustrate this approach using two examples. We hope to perform a comprehensive investigation of this approach in the future.
Vision Based Pose Recognition in Video Game
Authors: Dong Heon Jang, Xiang Hua Jin, Tae Yong Kim
Venue: Proceedings of the 3rd international conference on Technologies for E-Learning and Digital Entertainment (2008)

We present a vision based HCI system which exploits background subtraction comparing local orientation histograms. As a new virtual input device for game control, we focus on extracting coarse pose of the foreground object and its application to video game. The captured image is divided into the cells where the local orientation histogram with Gaussian kernel is computed and compared with the corresponding one using Bhattacharyya distance measure. The orientation histogram-based method is partially robust against illumination change and small moving objects in background. We also propose a vision-based interfacing system to existing game engines and appropriate modules that includes recognition process using neural network. The real-time 3D video games are implemented as a test-bed with the proposed system to prove the presented vision based system is highly applicable to let users control virtual environment without any hard-wired input devices.
Integration of complex archeology digital libraries: An ETANA-DL experience
Authors: Rao Shen, Naga Srinivas Vemuri, Weiguo Fan, Edward A. Fox
Venue: Information Systems (2008)

In this paper, we formalize the digital library (DL) integration problem and propose an overall approach based on the 5S (streams, structures, spaces, scenarios, and societies) framework. We then apply that framework to integrate domain-specific (archeological) DLs, illustrating our solutions for key problems in DL integration. An integrated Archeological DL, ETANA-DL, is used as a case study to justify and evaluate our DL integration approach. More specifically, we develop a minimal metamodel for archeological DLs within the 5S theory. We implement the 5SSuite tool set to cover the process of union DL generation, including requirements gathering, conceptual modeling, rapid prototyping, and code generation. 5SSuite consists of 5SGraph, 5SGen, and SchemaMapper, each of which plays an important role in DL integration. We also propose an approach to integrated DLs based on the 5S formalism, which provides a systematic method to design and implement DL exploring services.
The thematic and citation landscape of Data and Knowledge Engineering (1985-2007)
Authors: Chaomei Chen, Il-Yeol Song, Xiaojun Yuan, Jian Zhang
Venue: Data Knowledge Engineering (2008)

The thematic and citation structures of Data and Knowledge Engineering (DKE) (1985-2007) are identified based on text analysis and citation analysis of the bibliographic records of full papers published in the journal. Temporal patterns are identified by detecting abrupt increases of frequencies of noun phrases extracted from titles and abstracts of DKE papers over time. Conceptual structures of the subject domain are identified by clustering analysis. Concept maps and network visualizations are presented to illustrate salient patterns and emerging thematic trends. A variety of statistics are reported to highlight key contributors and DKE papers that have made profound impacts.
Modelling spectroscopic properties of large molecular systems. The combined Density Functional Theory/Molecular Mechanics approach
Authors: Kestutis Aidas, Kurt V. Mikkelsen, Jacob Kongsted
Venue: Journal of Computational Methods in Sciences and Engineering (2007)

In this presentation we review some theoretical aspects of the combined Density Functional Theory/Molecular Mechanics (DFT/MM) approach designed to describe large molecular systems in an effective and efficient manner. We will introduce the concept of (polarizable) DFT/MM response theory thereby enabling calculation of a variety of molecular properties. Here we will focus on spectroscopic properties described by linear response with respect to the applied magnetic or electric field. Of special interest will be UV and NMR properties since these are ideal probes for extracting important information concerning the nature of the intermolecular interactions between a solute and the solvent. The methods developed will be applied to acetone and pyridine in aqueous solution. In all cases we find, upon comparison to experimental data, the DFT/MM scheme to be accurate and at the same time cost-effective.
Gaussian Rule Based Fuzzy (GRBF) Membership Edge Detection on Hand Phantom Radiograph Images
Authors: Noor Elaiza Abdul Khalid, Mazani Manaf, Mohd Ezane Aziz, Noorhayati Mohamed Noor, Norsyuhaiza Zainol
Venue: Proceedings of the 2008 Fifth International Conference on Computer Graphics, Imaging and Visualisation (2008)

This paper introduces the Gaussian shaped membership function to refine the Rule Based Fuzzy (RBF) image detection. It is expected that the proposed algorithm Gaussian Rule Based Fuzzy (GRBF) method can further refined the detection of periosteal and endosteal edges of hand phantom radiographs. The experimental data consists of four sets of hand phantom radiograph. Only metacarpal 2, 3 and 4 are considered. All of these data are processed with both GRBF and RBF. Mean and median filters are used as preprocessing tools. The results are compared both subjectively and statistically. The periosteal (strong edges) are well detected by both RBF and GRBF. However GRBF performs better than RBF in detecting the endosteal edges (weak edges).
Domain models for laboratory integration
Authors: Anca Daniela Ionita
Venue: Proceedings of the 7th WSEAS International Conference on Software Engineering, Parallel and Distributed Systems (2008)

Laboratory equipment and software have a large degree of non-homogeneity and laboratory workflows are often based on manual, error-prone activities. The current trend is to realize integrated laboratories, supporting tool interoperation and data integration. A solution for hiding the non-homogeneity of tools and data is to raise the integration problem at a higher level of abstraction. The paper studies the domains that generally pertain to a laboratory performing measurements and tests, such as to obtain integration by composing their domain models. A data integration domain is presented here, whose design is based on the interpretation of specific, user-defined, laboratory models.
Continuous time Hammerstein systems identification by distributions
Authors: Constantin Marin, Virginia Finca, Radu Zglimbea
Venue: Proceedings of the 10th WSEAS International Conference on Automatic Control, Modelling & Simulation (2008)

The paper presents a procedure for identification continuous-time Hammerstein systems. To improve the representation of the nonlinear functions, the set of basis functions is iteratively refined. It is possible to identify the dominant nonlinearities, applying a singular value decomposition to the input matrix. In our approach, the linear dynamic subsystem is described by a transfer function of a given order and the distribution based identification method is applied.
Extracting Pointing Object with Demonstrative Speech Phrase for Remote Transcription in Lecture
Authors: Yoshinori Takeuchi, Ken Saito, Ayaka Ito, Noboru Ohnishi, Shigeyoshi Iizuka, Shinya Nakajima
Venue: Proceedings of the 11th international conference on Computers Helping People with Special Needs (2008)

In this research, we propose a system to extract the object which is pointed by the instructor with a demonstrative speech phrase. The system extracts audio features from a speech signals of the instructor and calculates the likelihood of the demonstrative speech phrase. The system also extracts video features from the video camera and calculates the likelihood of the pointing gesture. Then, the system combines the likelihood of audio and video features to decide whether the instructor points the object with demonstrative speech phrase. We conducted an experiment using a real lecture, which has shown the effectiveness of the proposed method.
Classification of Image Data Using Gradient-Based Fuzzy C-Means with Mercer Kernel
Authors: Dong-Chul Park
Venue: Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence (2008)

A novel approach for the classification of image signals for image retrieval using Gradient-Based Fuzzy C-Means with Mercer Kernel (GBFCM-MK) is proposed and presented in this paper. The proposed classifier is a FCM-based algorithm which utilizes the Mercer Kernel to exploit the statistical nature of the image data to improve the classification accuracy. Experiments and results on various data sets demonstrate that the proposed classification algorithm outperforms 21.7% - 24% in accuracy in comparison with conventional algorithms such as the traditional Fuzzy C-Means (FCM), Gradient-based Fuzzy C-Means (GBFCM), and GBFCM with Divergence Measure (GBFCM(DM). 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
Presentation: "50 in 50"
Authors: Guy Steele, Richard P. Gabriel
Venue: Proceedings of the third ACM SIGPLAN conference on History of programming languages (2007)

Languages-what's to learn from them? Relics of the past; we know how to design them / to use them. Types / messages / invocation / loops / numbers / methods / big ol' libraries / lots of = signs. Heh, but what is programming, and what role do programming languages play in that process? We have learned a lot over the last five decades: organizing principles, established conventions, theory, fashions, and fads. "Those who cannot remember the past are condemned to repeat it." In this talk we survey what we think are the most important lessons of the past that future programmers, and future programming language designers, ought not forget. We illustrate each lesson by discussing specific programming languages of the past, and endeavor to shine what light we can on the future.
A Numerical Trip to Social Psychology: Long-Living States of Cognitive Dissonance
Authors: P. Gawroński, K. Kułakowski
Venue: Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007 (2007)

The Heider theory of cognitive dissonance in social groups, formulated recently in terms of differential equations, is generalized here for the case of asymmetric interpersonal ties. The space of initial states is penetrated by starting the time evolution several times with random initial conditions. Numerical results show the fat-tailed distribution of the time when the dissonance is removed. For small groups (N=3) we found some characteristic patterns of the long-living states. There, mutual relations of one of the pairs differ in sign.PACS numbers: 89.65.-s, 02.50.-r.
A Robust Adaptive Beamformer for Multi-path Signal Reception
Authors: Lei Yu, Wei Liu, Richard Langley
Venue: Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 5 - Volume 05 (2008)

A robust adaptive beamformer with new constraints on the array response is proposed to avoid signal cancellation in the environment where multi-path signals exist. The robustness is achieved by forcing the magnitude response of the desired signal and its multi-path signals exceeding unity in the presumed clusters while minimizing the output power. In this way, the desired signal is conbined with its multi-path signals rather than cancelled by them as in the conventional beamformer. Computer simulations verify the effectiveness of the proposed method.