ppxscal/embedding_network huggingface dataset:
Performance Monitoring of CRM Initiatives
Authors: Sonja Grabner-Kraeuter, Gernot Moedritscher, Martin Waiguny, Werner Mussnig
Venue: Proceedings of the 40th Annual Hawaii International Conference on System Sciences (2007)

Since the late 1990s CRM has become a buzzword especially among business practitioners and consultants. Companies have invested or are planning to invest huge amounts to implement CRM strategies, tools and infrastructure in order to attract and retain profitable customers in today's increasingly competitive markets. However, the existing academic literature and the practical applications of CRM do not provide definite guidance how to assess the profitability of CRM projects. What is also missing is a comprehensive measurement system that allows a holistic assessment of the ongoing contribution of CRM initiatives to the financial performance of the business firm. The purpose of this paper is to develop a framework for a systematic cost-benefit-assessment and for ongoing performance monitoring of CRM initiatives. Based on well-known methods and instruments for measuring business performance the authors propose an integrated approach to determine and measure the effectiveness and efficiency of CRM projects.
Reconciling Manual and Automated Testing: The AutoTest Experience
Authors: Andreas Leitner, Ilinca Ciupa, Bertrand Meyer, Mark Howard
Venue: Proceedings of the 40th Annual Hawaii International Conference on System Sciences (2007)

Software can be tested either manually or automatically. The two approaches are complementary: automated testing can perform a large number of tests in little time, whereas manual testing uses the knowledge of the testing engineer to target testing to the parts of the system that are assumed to be more error-prone. Despite this complementarity, tools for manual and automatic testing are usually different, leading to decreased productivity and reliability of the testing process. AutoTest is a testing tool that provides a "best of both worlds" strategy: it integrates developers' test cases into an automated process of systematic contract-driven testing. This allows it to combine the benefits of both approaches while keeping a simple interface, and to treat the two types of tests in a unified fashion: evaluation of results is the same, coverage measures are added up, and both types of tests can be saved in the same format.
Software libraries of intelligent transportation system based on GIS
Authors: Lai Mei
Venue: Proceedings of the Fourth IEEE International Conference on Cognitive Informatics (2005)

The intelligent vehicle monitor system based on GIS was experimentally studied. This paper describes the development of a new GIS library that is aimed at providing a rich and powerful environment for the development of GIS research. The motivation for this proposal is the current lack of either public or commercial GIS libraries that cater for the diversity of GIS data and algorithms, especially when viewed upon the latest advances in geographical information science. GIS library is open source software, allowing a collaborative environment and its use for the development of multiple GIS tools. 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
Haptic rendering of trimmed nurbs models within an active protoyping environment
Authors: Elaine Cohen
Venue:  (2006)

This dissertation presents techniques for direct haptic rendering of complex trimmed NURBS models. More specifically, the research concentrates on developing a complete collection of algorithms for haptic interaction with Computer Aided Design (CAD) models without requiring any intermediate representations or simplifications. The complex underlying structure of trimmed NURBS further compounds the difficulty of haptically rendering them. However, for many reasons, trimmed NURBS are a highly popular CAD representation. This approach allows users to interact haptically with the massive collection of real-world NURBS models. The design and implementation of a target application; APE (Active Prototyping Environment); as a test-bed system that integrates haptic rendering into the Alpha_1 modeling package is described. Among the algorithms required for such interaction are model proximity; global and local closest point tracking; surface evaluation of contact point, normal and tangent vectors; and rapid and robust transitioning across trimmed edges. Since current computer systems are not powerful enough to perform all of the necessary tasks within the alloted time using a single processing thread; distributed system techniques, including multiplatform, multiprocessing and multithreading; are also presented. In addition, an approach to verify the quality of a haptic algorithm is presented and applied to direct haptic rendering.
Effects of Translational and Gripping Force Feedback are Decoupled in a 4-Degree-of-Freedom Telemanipulator
Authors: Lawton N. Verner, Allison M. Okamura
Venue: Proceedings of the Second Joint EuroHaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (2007)

Many high-degree-of-freedom haptic devices and teleoperator systems either do not have grippers or do not provide force feedback in the gripper degree of freedom (DOF). The purpose of this work is to determine the effect of gripper force feedback in relation to Cartesian (translational) force feedback on the execution of telemanipulation tasks. We developed a system for adding an additional DOF of grip force feedback on a 3-DOF Phantom haptic device master, as well as 6-DOF force/torque sensing on each "finger of a coupled gripper on a Phantom haptic device slave. The internal (grip) and external (translational) forces were measured as users performed a soft peg-in-hole task with various DOFs of force feedback: (1) full force feedback, (2) translational force feedback only, (3) grip force feedback only, and (4) no force feedback. Results show that the level of force applied in the translational and gripping DOFs are decoupled for a 3-DOF telemanipulator with added grip force feedback. This is likely due to the decoupled dynamics of internal and external hand forces.
Customer Loyalty Based Dynamic Pricing by Using RFID-Enabled Floor Level Sales Information
Authors: Tatsuya Inaba
Venue: Proceedings of the 2007 International Symposium on Applications and the Internet Workshops (2007)

Physical store retailers are facing tougher situation than ever, and some of the effective strategies to tackle this situation are to achieve a high inventory turnover rate to make most use of their store space and to keep a good relationship with their loyal customers. This study proposes a mechanism to make it possible to reward loyal customers as a result of adjusting an inventory turnover rate by assuming RFID information captured on the store floor. The proposal consists of an application and algorithms used in the application. The application is implemented as a proof of concept and validity of the algorithms are shown by numerical study.
An overview of the NetWare operating system
Authors: Drew Major, Greg Minshall, Kyle Powell
Venue: Proceedings of the USENIX Winter 1994 Technical Conference on USENIX Winter 1994 Technical Conference (1994)

The NetWare operating system is designed specifically to provide service to clients over a computer network. This design has resulted in a system that differs in several respects from more general-purpose operating systems. In addition to highlighting the design decisions that have led to these differences, this paper provides an overview of the NetWare operating system, with a detailed description of its kernel and its software-based approach to fault tolerance.
Computationally efficient algorithm for time scale modification (GLS-TSM)
Authors: S. Yim
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02 (1996)

Time scale modification (TSM) of signals is an important component in many speech coding and music applications. The major challenge is to achieve the necessary time scale modification yet maintaining the pitch information present in the input signal. We developed a new, computationally efficient algorithm called global and local search time scale modification (GLS-TSM) based on the principle of overlap and add. We have proved that the GLS-TSM algorithm reproduces high audio quality music with the desired time scale while preserving the pitch periodicity of the original signal. In addition, it provides an order of magnitude improvement in processing speed when compared to the most popular method, SOLA algorithm.
A Configurable Event Correlation Architecture for Adaptive J2EE Applications
Authors: Yan Liu, Ian Gorton, Vinh Khanh Le
Venue: Proceedings of the 2007 Australian Software Engineering Conference (2007)

Distributed applications that adapt as their environment changes are developed from self-managing, self-configuring and self-optimising behaviours. This requires constant monitoring of the state of the environment, and analysing multiple sources of events. Event correlation is the process of correlating monitored events from multiple sources for further analysis. It is essential that event correlation supports reliable event management with minimal delay. This paper describes the design and implementation of an event correlation architecture for adaptive J2EE applications. The architecture supports flexible configuration of event correlation in terms of the reliability and performance. This is especially useful in situations when multiple sources of events have different level of requirements for reliability and performance. We evaluate the performance overhead of this event correlation architecture and demonstrate its practical usage in a case study of an adaptive image server application.
A parallel constraint disintegration and approximation scheme for quadratic signal recovery
Authors: P. L. Combettes
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 01 (2000)

A block-iterative parallel decomposition method is proposed to solve general quadratic signal recovery problems under convex constraints. Unlike existing schemes, the proposed method proceeds by local linearizations of blocks of constraints and it is therefore not sensitive to their analytical complexity. Implementation-related issues are discussed and an application to signal deconvolution is demonstrated.
Measuring and Profiling IP Traffic
Authors: Nuno M. Garcia, Paulo P. Monteiro, Mario M. Freire
Venue: Proceedings of the Fourth European Conference on Universal Multiservice Networks (2007)

Measurement of network traffic is a fundamental issue to manage the network itself. The highly self-similar nature of IP traffic makes its measurement and profiling a very complex task. In this paper we identify a number of dimensions over which we can measure and profile IP traffic flows. We propose a set of statistics that can be used on the identified dimensions and allow the definition of traffic profile models.
An abstract target architecture for fpga compilation
Authors: Wim Bohm
Venue:  (2006)

Modern field programmable gate arrays (FPGAs) can outperform general purpose processors on a wide variety of tasks. They are particularly well suited for regular computations in which fine-grained parallelism can be exploited. Despite their tremendous potential for speedup, most high-performance application programmers do not use FPGAs because there is currently no widely accepted programming paradigm. Typical FPGA application design is done at a very low level and requires detailed knowledge of the target FPGA resources and hardware design practices in general. The primary goal of this dissertation is to provide a flexible, high-performance framework for programming FPGAs, without requiring the user to be concerned with hardware design details. The Aggregated Hierarchical Abstract Hardware Architecture (AHAHA) presented here is the target architecture used in the SA-C* compiler; however, its concepts can easily be adapted to other compilers which use dataflow graphs as internal structures. It allows developers of high-level language compilers to concentrate on language features, program optimizations, and exploiting parallelism, without being concerned with the specifics of hardware design. By using the AHAHA framework as an intermediate form when targeting FPGAs, more advanced compilers can be developed to unleash the computational potential of FPGAs. The AHAHA embodies several novel ideas which contribute to its success, however, the principal contribution is its handshaking model which is based on "sections". Using the SA-C compiler as an example, the research presented in this dissertation will answer questions regarding the ramifications of using an abstraction of the FPGA hardware. The AHAHA imposes a well-defined structure on the otherwise unconstrained hardware. This formal structure simplifies compiler development, and its impact upon clock frequency and area are negligible. The benefits of using an abstraction of the FPGA far outweigh the penalties. The AHAHA framework imposes no significant restrictions on the types of programs which may be implemented oil the FPGA and maximizes efficiency via effective use of the hardware resources.
Reflective assessment: portfolios in engineering courses
Authors: D. Cress, B. J. McCullough-Cress
Venue: Proceedings of the Frontiers in Education Conference, on 1995. Proceedings., 1995 - Volume 02 (1995)

Quality problems in engineering education are caused by the wide range of student backgrounds and abilities, the need for integrating interpersonal and technical skills, the lack of feedback mechanisms for the assessment of quality, and the overall lack of relevance between the students' needs and the coursework. S.R. Covey's (1989) seven habits and P.M. Senge's (1990) five disciplines provide a framework for converting the classroom into a learning organization-an organization capable of addressing such quality issues. Portfolio assessment, a tool seldom used in engineering courses but particularly effective, is the key organizing element. By student portfolios, we mean a systematic and purposeful collection of student goals for learning, works in progress, peer and instructor feedback, and reflections on the work and processes. We show that the portfolio with reflective assessment supports each habit and discipline, promotes continuous improvement for both students and instructors, and clarifies the relationship between course learning and life long career development. Several examples of portfolio assessment are examined. These illustrate using portfolios with reflective assessment as a framework to link students' learning goals with team and individual projects. The portfolios focus both instructors' and students' attention on the quality of learning processes.
A Methodology to Evaluate Agent Oriented Software Engineering Techniques
Authors: Chia-En Lin, Krishna M. Kavi, Frederick T. Sheldon, Kris M. Daley, Robert K. Abercrombie
Venue: Proceedings of the 40th Annual Hawaii International Conference on System Sciences (2007)

Systems using Software Agents (or Multi-Agent Systems, MAS) are becoming more popular within the development mainstream because, as the name suggests, an Agent aims to handle tasks autonomously with intelligence. To benefit from autonomous control and reduced running costs, system functions are performed automatically. Agent-oriented considerations are being steadily accepted into the various software design paradigms. Agents may work alone, but most commonly, they cooperate toward achieving some application goal(s). MAS's are components in systems that are viewed as many individuals living in a society working together. Currently however, there is no universal agreement on how to build a comprehensive Agent-oriented system. Development of MAS's is a non-trivial task especially without the necessary support provided by software engineering (SE) environments. From a SE perspective, solving a problem should encompass the steps from problem realization, requirements analysis, architecture design and implementation. These steps should be implemented within a life-cycle process including testing, verification, and reengineering to proving the built system is sound. Agent-oriented SE techniques must be evaluated and compared to gain a better understanding of how Agent systems should be engineered and evolved. In this paper, we explore the various applications of Agent-based systems categorized into different application domains. We describe what properties are necessary to form an Agent society with the express purpose of achieving system-wide goals in MAS. A baseline is developed herein to help us focus on the core of Agent concepts throughout the comparative study and to investigate both the Object-Oriented and Agent-oriented techniques that are available for constructing Agentbased systems. In each respect, we address the conceptual background associated with these methodologies and how available tools can be applied within specific domains.
Region Based Segmentation and Classification of Multispectral Chromosome Images
Authors: Petros S. Karvelis, Dimitrios I. Fotiadis, Alexandros Tzallas, Ioannis Georgiou
Venue: Proceedings of the Twentieth IEEE International Symposium on Computer-Based Medical Systems (2007)

Multiplex Fluorescent In Situ Hybridization (M-FISH) is a newly chromosome imaging technique where each chromosome class appears to have a distinct color. This technique although it makes the analysis of chromosome images easier, still exhibits misclassification errors that can be misinterpreted as chromosome abnormalities. A new method for the multichannel image segmentation and region classification is proposed. The segmentation of M-FISH images is based on a multichannel watershed segmentation method in order to define regions of same spectral characteristics. The region Bayes classification method which focuses on region classification is used. The classifier was trained and tested on nonoverlapping chromosome images and an overall accuracy 89% is achieved. The superiority of the proposed method over methods that use pixel-by-pixel classification is demonstrated.
Dancing with words
Authors: Raisa Rashid, Quoc Vy, Richard G. Hunt, Deborah I. Fels
Venue: Proceedings of the 6th ACM SIGCHI conference on Creativity cognition (2007)

Music, sound effects and speech prosody are missing from conventional closed captions. Despite advancements, closed captioning has yet to surpass the threshold of 1970s technology. In this study, animated text was used to convey missing sound information to hearing impaired users. Twenty-five hard of hearing and hearing participants watched two television clips containing three different styles of captions: conventional, enhanced and extreme. Participants preferred enhanced, animated text captions as their access to emotive information was improved.
Application of heuristic optimization to groundwater management
Authors: Alan J. Rabideau
Venue:  (2006)

Subsurface flow and contaminant transport models are often used in solving groundwater management problems. Automated optimization involving such models is becoming commonplace, and researchers are increasingly encountering problems for which standard gradient-based search algorithms are inadequate. Such cases have motivated an interest in the use of more robust, but computationally expensive, heuristic algorithms. The research reported in this dissertation advances the state-of-practice of heuristic optimization in groundwater management by applying a variety of heuristic methods to three groundwater management problems: (1) optimization of pump-and-treat containment systems, (2) optimization of multi-layered sorptive barrier systems, and (3) calibration of reactive transport models involving nitrate contamination. These studies were facilitated by the development of a new open source software package for model-independent multi-algorithm optimization, which includes special tools for calibration and model ranking and selection. Overall, the optimization studies make several important research contributions by (1) suggesting methods and guidelines for the effective selection and use of heuristic algorithms, (2) investigating techniques for reducing the computational demand associated with heuristic algorithms, (3) providing general insight into the behavior of the selected problems, (4) utilizing modeling techniques, remediation constraints, and/or parameter representations not previously applied to the selected problems, and (5) introducing a novel optimization software package to the research community.
Optimal array signal processing in the presence of coherent wavefronts
Authors: P. Stoica
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 05 (1996)

The problem of estimating the parameters of several wavefronts from the measurements of multiple sensors is often referred to as array signal processing. The maximum likelihood (ML) estimator in array signal processing for the case of non-coherent signals has been studied extensively. The focus here is on the ML estimator for the case of stochastic coherent signals which arises due to, for example, specular multipath propagation. We show the very surprising fact that the ML estimates of the signal parameters obtained by ignoring the information that the sources are coherent, coincide in large samples with the ML estimates obtained by exploiting the coherent source information. Thus, the ML signal parameter estimator derived for the non-coherent case (or its large-sample realizations such as MODE os WSF) asymptotically achieves the lowest possible estimation error variance (corresponding to the coherent Cramer-Rao bound).
Adaptive iterative reweighted least squares design of L/sub p/ FIR filters
Authors: R. A. Vargas
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 03 (1999)

This paper presents an efficient adaptive algorithm for designing FIR digital filters that are efficient according to an L/sub p/ error criteria. The algorithm is an extension of Burrus' (1992) iterative reweighted least squares (IRLS) method for approximating L/sub p/ filters. Such algorithm will converge for most significant cases in a few iterations. In some cases however, the transition bandwidth is such that the number of iterations increases significantly. The proposed algorithm controls such problem and drastically reduces the number of iterations required.
Applying a Tradeoff Model (TOM) to TACT
Authors: Raihan Al-Ekram, Ric Holt, Chris Hobbs
Venue: Proceedings of the The Second International Conference on Availability, Reliability and Security (2007)

In a software system, it is inevitable that components will occasionally fail to produce acceptable results and become unavailable to serve its clients. Replication is the technique often used to increase the availability of a system. But replication introduces the issue of inconsistency among the replicas. TACT is a middleware toolkit for building services that can make a controlled and systematic tradeoff between the availability and the data consistency in the system. This paper presents a tradeoff model TOM that gives various properties and constraints that apply to a tradeoff situation. Using this model we show that the tradeoff in TACT is essentially 4 dimensional rather than just 2. The capacity and demand of the system adds additional dimensions to the basic availability and consistency tradeoff. We also show how TOM can be used to fulfill the QoS goals of the system with dynamically changing load and failure characteristics.