ppxscal/embedding_network huggingface dataset:
Using Self-Organizing Feature Maps and Data Mining to Analyze Liability Authentications of Two-Vehicle Traffic Crashes
Authors: Pei Liu
Venue: Proceedings of the Third International Conference on Natural Computation - Volume 02 (2007)

In this study, both self-organizing feature maps and data mining models were generated for analysis of liability authentications of two-vehicle crashes, respectively, to evaluate their applicability on such an application. Factors critical to crash liability attributions were theoretically selected through Chi square test and F test. Meanwhile, factors considered important to committee members of government founded authentication committees in Taiwan were identified using fuzzy Delphi process. Factors commonly appeared in both theoretical results and practical opinions were considered truly critical in this study. Data mining models and self-organizing feature maps models were then generated with identified critical factors and associated liability attribution results of selected crash cases, for frontal, side, and rear collisions of two vehicle crashes, in an attempt to provide appropriate tools for decision support on crash liability authentications. Nine factors, viz. right-of-way, perception, speeding, lane changing, signal status, maneuver, irregularity, mutual position, and perception distance were identified critical. Data mining models can give 60 ~ 83% accurate liability authentications, yet are incapable of giving specific liability attributions corresponding to crash cases. As to SOM models, acceptable silhouette coefficient indicate that generated models can allocate cases to adequate clusters. Meanwhile, qualities of clustering were confirmed by calculated high grey relational coefficients. Although with small data size, a combination of data mining and SOM models were considered to be able to give reasonably good liability attributions predictions and references on given crash cases.
Dynamic Modeling and Experimental Validation of a 3-PRR Parallel Manipulator with Flexible Intermediate Links
Authors: Xuping Zhang, James K. Mills, William L. Cleghorn
Venue: Journal of Intelligent and Robotic Systems (2007)

This paper presents the development of structural dynamic equations of motion for a 3-PRR parallel manipulator with three flexible intermediate links, based on the assumed mode method. Lagrange's equation is used to derive the dynamic model of the manipulator system. Flexible intermediate links are modeled as Euler---Bernoulli beams with pinned---pinned boundary conditions. Dynamic equations of motion of a 3-PRR parallel manipulator with three flexible links are developed by adopting the assumed mode method. The effect of concentrated rotational inertia at both ends of intermediate links is included in this model. Numerical simulations of vibration responses, coupling forces and inertial forces are presented. The corresponding frequency spectra analysis is performed using the Fast Fourier Transform (FFT). Experimental modal tests are performed to validate the theoretical model through comparison and analysis of modal characteristics of the flexible manipulator system.
Dynamic Workflow Instrumentation for Windows Workflow Foundation
Authors: Bart J. F. De Smet, Kristof Steurbaut, Sofie Van Hoecke, Filip De Turck, Bart Dhoedt
Venue: Proceedings of the International Conference on Software Engineering Advances (2007)

As the complexity of business processes grows, the shift towards workflow-based programming becomes more attractive. The typical long-running characteristic of workflows imposes new challenges such as dynamic adaptation of running workflow instances. Recently, Windows Workflow Foundation (in short WF) was released by Microsoft as their solution for workflow-driven application development. Although WF contains features that allow dynamic workflow adaptation, the framework lacks an instrumentation framework to make such adaptations more manageable. Therefore, we built an instrumentation framework that provides more flexibility for applying workflow adaptation batches to workflow instances, both at creation time and during an instance's lifecycle. In this paper we present this workflow instrumentation framework and performance implications caused by dynamic workflow adaptation are detailed.
Foreign functions and common Lisp
Authors: Harlan Sexton
Venue: ACM SIGPLAN Lisp Pointers (1987)

The language Common Lisp is a standard dialect of Lisp which has been implemented on a wide range of machines by a variety of commercial and academic groups. One serious flaw in the Common Lisp standard, at least to many Common Lisp users on "general-purpose" hardware,1 is the lack of an defined foreign function interface, or FFI. The subject of this note is a discussion of FFI's for three different Common Lisp systems on engineering workstations and some thoughts on what foreign function interfaces ought to look like.
Integration of interdigital-gated plasma wave device for proximity communication system application
Authors: Abdul Manaf Hashim, Seiya Kasai, Tamotsu Hashizume, Hideki Hasegawa
Venue: Microelectronics Journal (2007)

Interdigital-gated AlGaAs/GaAs high-electron-mobility transistor (HEMT) structure was used to investigate the interaction between the drifting carrier plasma waves and electromagnetic (EM) waves. It was shown theoretically that the interaction in the range from microwave to terahertz (THz) at room temperature should produce negative conductance characteristics when the carrier drift velocity slightly exceeds the phase velocity of EM waves. S-parameter reflection measurements were carried out at room temperature for a frequency range from 1 to 20GHz and a drastic change in conductance was observed at 5 and 10GHz with the increase of drain-source voltage. Large conductance change over 1000mS/mm was obtained and it showed a peak at a certain frequency. The peak position could be controlled by changing the pitch size of the interdigital gates. These characteristics can be used for high-frequency applications such as high-speed switching devices although a feature size of our interdigital-gated HEMT device is much larger than conventional HEMT device.
Usability Evaluation Based on Web Design Perspectives
Authors: Tayana Conte, Jobson Massollar, Emilia Mendes, Guilherme H. Travassos
Venue: Proceedings of the First International Symposium on Empirical Software Engineering and Measurement (2007)

Given the growth in the number and size of Web Applications worldwide, Web quality assurance, and more specifically Web usability have become key success factors. Therefore, this work proposes a usability evaluation technique based on the combination of Web design perspectives adapted from existing literature, and heuristics. This new technique is assessed using a controlled experiment aimed at measuring the efficiency and effectiveness of our technique, in comparison to Nielsen's heuristic evaluation. Results indicated that our technique was significantly more effective than and as efficient as Nielsen's heuristic evaluation.
Estimation and prediction from gamma distribution based on record values
Authors: K. S. Sultan, G. R. AL-Dayian, H. H. Mohammad
Venue: Computational Statistics Data Analysis (2008)

In this paper, we introduce the record values arising from gamma distribution with three parameters. Next, we compute the means, variances and covariances of the lower record values. Then, we use these moments to calculate the best linear unbiased estimates (BLUEs) for the location and scale parameters of gamma distribution. By using the BLUEs, we construct confidence intervals for the location and scale parameters through Monte Carlo simulations. In addition, we discuss the point and interval prediction for the future records.
A Novel Linear-Programming Based Approach for Near-Optimal Rate Allocation in the UMTS Enhanced Uplink
Authors: Tuo Liu, Andreas Meder, Dirk Staehle
Venue: Proceedings of the Third IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (2007)

The recent evolvement of UMTS is the proposal of en- hanced uplink, or HSUPA, for high speed packet data ac- cess. In this paper, we present a linear-programming based framework for the calculation the resources assigned to each enhanced uplink user in the multi-cell environment, in order to account for the unnecessary outage problem. The interference and load models under such resource al- location schemes, both non-iterative and iterative, are built to characterize the system behavior and evaluate the sys- tem performance. The `down grants' feature of HSUPA, which is to suppress the interference from soft handover area is also included in the analysis. The system perfor- mance under various resource allocation schemes are an- alyzed and compared by Monte-Carlo simulations, which shows the proposed framework may serve as a good esti- mation to study performance for the network operators.
Engineering contextual knowledge for autonomic pervasive services
Authors: Gabriella Castelli, Marco Mamei, Franco Zambonelli
Venue: Information and Software Technology (2008)

In this paper, we identify the key software engineering challenges introduced by the need of accessing and exploiting huge amount of heterogeneous contextual information. Following, we survey the relevant proposals in the area of context-aware pervasive computing, data mining and granular computing discussing their potentials and limitations with regard to their adoption in the development of context-aware pervasive services. On these bases, we propose the W4 model for contextual data and show how it can represent a simple yet effective model to enable flexible general-purpose management of contextual knowledge by pervasive services. A summarizing discussion and the identification of current limitations and open research directions conclude the paper.
Original paper: A decision support system on matching and field performance prediction of tractor-implement system
Authors: R. K. Sahu, H. Raheman
Venue: Computers and Electronics in Agriculture (2008)

A decision support system (DSS) was developed in Visual Basic 6.0 programming language for matching tillage implements with 2WD tractors and for predicting the field performance of the tractor-implement system. The DSS provides the intuitive user interfaces by linking databases such as tractor, tire and implement specifications, draft and traction models constants, soil and operating conditions to support the decision on matching and to predict the performance of a selected tractor-implement system. The DSS was validated with the data collected from the field experiments conducted with a 31kW PTO power 2WD tractor and three tillage implements (2-30cm moldboard plow, 7-7 disks (1.6m) offset-disk harrow and 9-23cm field cultivator) under different soil and operating conditions. It was found that the DSS on an average under-predicted the draft and slip values by 10.2 and 15.6%, respectively, while it over-predicted the actual field capacity by 2.5% from the observed values. It was found that a 20kW tractor was properly loaded with 2-30cm moldboard plow but was overloaded with 9-23cm field cultivator for the normal operating conditions in medium soil. However, a 31kW tractor was found to be underloaded while working with these implements in medium soil.
A Sparse and Locally Shift Invariant Feature Extractor Applied to Document Images
Authors: M. Ranzato, Y. LeCun
Venue: Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02 (2007)

We describe an unsupervised learning algorithm for ex- tracting sparse and locally shift-invariant features. We also devise a principled procedure for learning hierarchies of in- variant features. Each feature detector is composed of a set of trainable convolutional filters followed by a max-pooling layer over non-overlapping windows, and a point-wise sig- moid non-linearity. A second stage of more invariant fea- tures is fed with patches provided by the first stage feature extractor, and is trained in the same way. The method is used to pre-train the first four layers of a deep convolutional network which achieves state-of-the-art performance on the MNIST dataset of handwritten digits. The final testing error rate is equal to 0.42%. Preliminary experiments on com- pression of bitonal document images show very promising results in terms of compression ratio and reconstruction er- ror.
EVA (extended video application): developing tablet PC software for multi-disciplinary mobile e-learning
Authors: E. Joseph Derrick, Maung Htay, Carmel Vaccare
Venue: Proceedings of the sixth conference on IASTED International Conference Web-Based Education - Volume 2 (2007)

The use of video within clinical courses at Radford University (RU) is currently limited by labor-intensive, tape-based equipment for organizing and accessing specific scenes and events. Our faculty has successfully applied Tablet PCs and Microsoft OneNote® in courses to capture and analyze instructional sessions, but these existing systems have limited capabilities. For example, OneNote currently only supports synchronous live feeds of web cameras with moderate video fidelity. However, prerecorded asynchronous sessions fed from DVD players or saved digital movie files of sessions at remote locations are all primary sources of observation data. The overall goal of this project is to design, implement, and evaluate a Tablet PC-based software application called EVA (Extended Video Application) to overcome these limitations and substantially improve the effectiveness of specific clinical learning experiences in education, counseling, and social work courses. This paper gives the background, motivation, and an overview of the project, reports on project status, describes the software development environment, and discusses the technical difficulties and issues surrounding the design and implementation components. The paper also covers future work (which includes a rigorous evaluation component), expected outcomes, and conclusions.
Partition of Boolean Functions ror Realization with Multithreshold Threshold Logic Elements
Authors: S. Ghosh
Venue: IEEE Transactions on Computers (1973)

In this paper, the concept of "primary partition" of Boolean functions has been introduced. A systematic method of obtaining the multithreshold realization of Boolean functions based on this new concept is presented. The problem essentially reduces to a table lookup procedure; the computational labor in finding the minimum-threshold minimum fan-in solution is substantially reduced.
Financial Time Series Data Forecasting by Wavelet and TSK Fuzzy Rule Based System
Authors: Pei-Chann Chang, Chin-Yuan Fan, Shih-Hsin Chen
Venue: Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 03 (2007)

In this study, a novel approach by integrating the wavelet and Takagi-Sugeno-Kang (TSK) fuzzy rule based systems (FRBS) for financial time series data prediction is developed. The wavelet method is applied to eliminate the noises caused by random fluctuations. The data output from the wavelet is then input to the TSK fuzzy rule system for prediction of the future value of a time series data. Through the intensive experimental tests, the model has successfully forecasted the price variation for stocks with accuracy close to 97.6% in TSE index.
Behavioral adaptation of component compositions based on process algebra encodings
Authors: Radu Mateescu, Pascal Poizat, Gwen Salaün
Venue: Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering (2007)

Software adaptation has been proposed as a solution to mismatch between components through the generation of software pieces called adaptors. We propose a new behavioral adaptation approach for the generation of adaptor protocols. Compared to related work, it is fully automated and addresses the adaptor computation complexity thanks to process algebra encodings and on-the-fly techniques.
An independent audit framework for software dependent voting systems
Authors: Sujata Garera, Aviel D. Rubin
Venue: Proceedings of the 14th ACM conference on Computer and communications security (2007)

The electronic voting machines known as Direct Recording Electronic (DRE), that are used in many states in the US have been shown to contain security vulnerabilities [16, 9, 3]. One of the problems is that the elections held on these machines cannot be independently audited. In this paper we address this issue by designing a new all-electronic independent audit framework for DRE voting systems. Our framework leverages system virtualization concepts and image recognition techniques to maintain an audit of the vote totals. The architecture we present is a step towards meeting the software independence requirements as defined by Rivest et al. [21, 2]. We have implemented a prototype using the Diebold Accuvote TS DRE voting software and the XEN hypervisor and demonstrate that our system can achieve a robust election audit with negligible overhead.
Design and Evaluation of Large Scale Loosely Coupled Cluster-based Distributed Systems
Authors: Kenji Sakamoto, Makoto Yoshida
Venue: Proceedings of the 2007 IFIP International Conference on Network and Parallel Computing Workshops (2007)

Large scale loosely coupled PCs can organize clusters and form the grid computing on sharing each processing power; power of PCs and code migration characterize the performance of distributed systems. This paper describes the performance evaluation of large scale loosely coupled distributed systems. The prototype of the middleware which migrates objects for computing is implemented, and the trade-off of the migration against computing was observed. Based on these experiments, several simulations for large scale loosely coupled PC clusters were performed, and the properties of the PC clusters for object migration are derived. These results will well be applied to design the grid computing systems to continuously maintain the proper performance.
Array Processors: A Selected Bibliography
Authors: T. Louie
Venue: Computer (1981)

This bibliography includes most of the trade journal articles, conference papers, and technical reports on array processors published in the English language since 1975. Generally, editorials are omitted, as are patents and specific device or system manuals. Also not included are unpublished papers and internal reports from industry, university, and government organizations where most array processors are installed.
Queueing Analysis of a Reordering Issue
Authors: G. Harrus
Venue: IEEE Transactions on Software Engineering (1982)

In this paper an M/G/8queue is considered that receives a stream of numbered tasks. Results are derived concerning the probabilistic properties of the reordering done by the queue.
Preventing Location-Based Identity Inference in Anonymous Spatial Queries
Authors: Panos Kalnis, Gabriel Ghinita, Kyriakos Mouratidis, Dimitris Papadias
Venue: IEEE Transactions on Knowledge and Data Engineering (2007)

The increasing trend of embedding positioning capabilities (e.g., GPS) in mobile devices facilitates the widespread use of Location Based Services. For such applications to succeed, privacy and confidentiality are essential. Existing privacy-enhancing techniques rely on encryption to safeguard communication channels, and on pseudonyms to protect user identities. Nevertheless, the query contents may disclose the physical location of the user. In this paper, we present a framework for preventing Location-based identity inference of users who issue spatial queries to Location Based Services. We propose transformations based on the well-established K-anonymity concept to compute exact answers for range and nearest neighbor search, without revealing the query source. Our methods optimize the entire process of anonymizing the requests and processing the transformed spatial queries. Extensive experimental studies suggest that the proposed techniques are applicable to real-life scenarios with numerous mobile users.
A Proposed Course in Data Processing Economics
Authors: M. Phister
Venue: Computer (1976)

Universities are often criticized for being too academic-too far removed from society's real problems. One reason for this remoteness is the academic preoccupation with analysis, despite the fact that the solution to many practical problems requires synthesis or invention. Another reason-and this is the one to be discussed here-is that faculties in science and engineering by and large are interested in the science of technology, and devote little or no time to teaching the economics of technology. That is, they teach fundamental principles, and explain how those principles are embodied in particular technologies; but they do little or nothing to explain the extent to which those technologies are produced, distributed, and consumed by and for society.1 For example, a physics department may teach both thermodynamics and nuclear engineering gineering; but it is unlikely to have a course which quantitatively describes trends in the sources and uses of energy and power and in the cost of power generation and distribution. Similarly, in computer science we have courses in numerical calculus, programming languages, and switching theory; but there is no plan to teach the student where computers are used, what functions they perform, or what it costs to write a program, operate a computer center, or manufacture a processor. 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
Color Mathematical Morphology Based on Partial Ordering of Spectra
Authors: Marcos Cordeiro d'Ornellas, Jose Antonio Trindade Borges da Costa
Venue: Proceedings of the XX Brazilian Symposium on Computer Graphics and Image Processing (2007)

Mathematical morphology is based on the principle of ordering. There is no natural way to order colors (being triplets of scalars). A lot of different ordering relations have been proposed in the literature, most on an ad-hoc basis. In this paper, we propose an ordering relation for colors that is based on the natural (i.e. physically plausible) ordering of spectra. Therefore, we ensure that the ordering is independent of the chosen color parameterization. We discuss that part of colorimetric theory that enables us to reconstruct the spectrum given the three color parameters. Furthermore, we present the very basics of the algebraic framework of mathematical morphology. This allows us to embed the presented ordering of colors within the morphological framework such that we can fully exploit the possibilities to define morphological image operators working on color images.
Valiant load-balanced robust routing algorithm for multi-granularity connection requests in traffic-grooming WDM mesh networks
Authors: Xiaoning Zhang, Lemin Li, Sheng Wang, Fei Yang
Venue: Computer Communications (2007)

The paper considers the problem of establishing robust routes for multi-granularity connection requests in traffic-grooming WDM mesh networks and proposes a novel Valiant load-balanced robust routing scheme for the hose uncertain model. Our objective is to minimize the total network cost when construct the stable virtual topology that assure robust routing for all possible multi-granularity connection requests under the hose model. Since the optimization problem is shown to be NP-complete, two heuristic algorithms are proposed and evaluated. Finally we compare the traffic throughput of the virtual topology by Valiant load-balanced robust routing scheme with that of the traditional traffic-grooming algorithm under the same total network cost by computer simulation.