ppxscal/embedding_network huggingface dataset:
Distance order statistic filtering using selection probabilities
Authors: S. Siren
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 04 (1996)

Stack filters can be approximated by using PCDOS-filters (permutation conditioned distance order statistic filters). Generalized selection probabilities are introduced in order to achieve even faster implementations for PCDOS-filters via using generalized orderings by stack filter banks. Theory and an algorithm for the practical use of the introduced method are provided. Some alternatives to the PCDOS-filter are also considered.
Marmoset: a programming project assignment framework to improve the feedback cycle for students, faculty and researchers
Authors: William W. Pugh
Venue:  (2006)

We developed Marmoset, a system that improves the feedback cycle on programming assignments for students, faculty and researchers alike. Using automation, Marmoset substantially lowers the burden on faculty for grading programming assignments, allowing faculty to give students more rapid feedback on their assignments. To further improve the feedback cycle, Marmoset provides students with limited access to the results of the instructor's private test cases before the submission deadline using a novel token-based incentive system. This both encourages students to start their work early and to think critically about their work. Because students submit early, instructors can monitor all students' progress on test cases and identify where in projects students are having problems in order to update the project requirements in a timely fashion and make the best use of time in lectures, discussion sections, and office hours. To study in more detail the development process of students, Marmoset can be configured to transparently capture snapshots to a central repository every-time students save their files. These detailed development histories offer a unique, detailed perspective of each student's progress on a programming assignment, from the first line of code written and saved all the way through the final edit before the final submission. This type of data has proved extremely valuable for many uses, such as mining new bug patterns and evaluating existing bug-finding tools.
Information as a Service: Modeling and Realization
Authors: Asit Dan, Robert Johnson, Ali Arsanjani
Venue: Proceedings of the International Workshop on Systems Development in SOA Environments (2007)

Service Oriented Architecture is enabling a new approach to the design and assembly of service-based solutions and environments, which promises a more fundamental alignment of business and I/T organizations in the enterprise, greater agility of applications by the exploitation of loose coupling, and opportunities for effective reuse and governance of business and I/T activities. Current methods and tools that support SOA development activities, however, have focused primarily on supporting business process and business logic. We discuss the application of SOA principles to enable the utilization of Information as a Service (IaaS), the benefits in unifying information and process service approaches to SOA, and key research challenges in modeling and realization for IaaS in the context of SOA development.
Job completion prediction using case-based reasoning for Grid computing environments: Research Articles
Authors: Lilian Noronha Nassif, José Marcos Nogueira, Ahmed Karmouch, Mohamed Ahmed, Flávio Vinícius de Andrade
Venue: Concurrency and Computation: Practice Experience (2007)

One of the main focuses of Grid computing is solving resource-sharing problems in multi-institutional virtual organizations. In such heterogeneous and distributed environments, selecting the best resource to run a job is a complex task. The solutions currently employed still present numerous challenges and one of them is how to let users know when a job will finish. Consequently, reserve in advance remains unavailable. This article presents a new approach, which makes predictions for job execution time in Grid by applying the case-based reasoning paradigm. The work includes the development of a new case retrieval algorithm involving relevance sequence and similarity degree calculations. The prediction model is part of a multi-agent system that selects the best resource of a computational Grid to run a job. Agents representing candidate resources for job execution make predictions in a distributed and parallel manner. The technique presented here can be used in Grid environments at operation time to assist users with batch job submissions. Experimental results validate the prediction accuracy of the proposed mechanisms, and the performance of our case retrieval algorithm. Copyright &copy; 2006 John Wiley & Sons, Ltd.
Product Development and Manufacturing Center at Oakland University
Authors: P. E. Dessert
Venue: Proceedings of the 28th Annual Frontiers in Education - Volume 03 (1998)

Perhaps more than any other field, a successful engineering education mandates that engineering students be capable of application of knowledge in a business environment. The ability to apply engineering knowledge in a "real-world" engineering environment is difficult to teach in a traditional classroom setting. In recognition of this dynamic, Oakland University in conjunction with Deloitte Consulting has established the Product Development and Manufacturing (PDM) Center at Oakland University. This paper describes the ways that the PDM Center is being used to support an engineering curriculum that provides a student with both engineering theory and application knowledge. The paper highlights the "virtual company" that the PDM Center employs in all training and educational offerings. Finally the paper describes a unique partnership arrangement the PDM Center has with a number of automotive enterprises which facilitate the development of a superior engineering educational experience. 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
Deploying Mobile And Intelligent Agents In Interconnected E-Marketplaces
Authors: Ryszard Kowalczyk, Peter Braun, Ingo Mueller, Wilhelm Rossak, Bogdan Franczyk, Andreas Speck
Venue: Journal of Integrated Design Process Science (2003)

The business trends to trade more complex goods and services in inter-connected e-marketplaces and to use mobile communication channels drive the requirements for the next generation of e-marketplaces including more advanced trading, mobile access and user support capabilities. This paper presents an attempt to address the above requirements by proposing an intelligent mobile agent-based e-marketplace solution called InterMarket that integrates mobile agents and intelligent decision-making agents in e-marketplaces. InterMarket aims at enabling mobile access and automated trading in inter-connected e-marketplaces with an add-on component to an existing commercial e-marketplace platform. The paper presents a general concept and solution of InterMarket, and discusses the proposed approach in the context of related research in mobile e-commerce agents and intelligent agent-mediated e-commerce.
Adaptive QoS for Mobile Web Services through Cross-Layer Communication
Authors: Min Tian, Andreas Gramm, Hartmut Ritter, Jochen H. Schiller, Thiemo Voigt
Venue: Computer (2007)

Web services providers can use the WS-QoS framework to achieve QoS differentiation byintegrating various aspects of distinct communication layers. An architecture based on theframework supports resource-constrained mobile devices, which will generate a largepercentage of Web service requests in the future.
Gulliver-A Framework for Building Smart Speech-Based Applications
Authors: Werner Kurschl, Stefan Mitsch, Rene Prokop, Johannes Schonbock
Venue: Proceedings of the 40th Annual Hawaii International Conference on System Sciences (2007)

Speech recognition has matured over the past years to the point that companies can seriously consider its use. However, from a developer's perspective we observe that speech input is rarely used in mobile application development, not even if it allowed users to work with their devices more flexibly. This stems partly from the fact that programming speech-enabled applications is tedious, because there is insufficient framework and tool support. This paper describes a component-based framework that uniformly supports development of multimodal applications on heterogeneous devices, ranging from laptop PCs to mobile phones. It especially focuses on distributed components (each performing a single step in speech recognition) to enable speech recognition on any type of device. Moreover, it describes how to develop and integrate different user interfaces for one application (voice-only, graphical-only, and multimodal) in a model-driven development approach, to minimize development and maintenance costs.
On the Theory of Matchgate Computations
Authors: Jin-Yi Cai, Vinay Choudhary, Pinyan Lu
Venue: Proceedings of the Twenty-Second Annual IEEE Conference on Computational Complexity (2007)

Valiant has proposed a new theory of algorithmic computation based on perfect matchings and Pfaffians. We study the properties of matchgates--the basic building blocks in this new theory. We give a set of algebraic identities which completely characterizes these objects for arbitrary numbers of inputs and outputs. These identities are derived from Grassmann-Plücker identities. The 4 by 4 matchgate character matrices are of particular interest. These were used in Valiant's classical simulation of a fragment of quantum computations. For these 4 by 4 matchgates, we use Jacobi's theorem on compound matrices to prove that the invertible matchgate matrices form a multiplicative group. Our results can also be expressed in the theory of Holographic Algorithms in terms of realizable standard signatures. These results are useful in establishing limitations on the ultimate capabilities of Valiant's theory of matchgate computations and Holographic Algorithms.
A new view of shape
Authors: V. Chandran
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06 (1999)

A new theory that qualitatively and quantitatively describes shape is presented. Signals are treated as ordered sets and shape as a property of the order. Measures of shape are derived starting from simple two element sets. It is shown that the degree of asymmetry of relative contrast at various scales is a sufficient descriptor of shape. The shape of a signal is a composite of the shape of all possible ordered subsets. A distinction is drawn between statistical and shape measures within a unified theoretical framework which may make it possible compare diverse pattern recognition approaches in terms robustness and discrimination power.
Instrumental variables (IV) and prediction error (PE) like second order recursive algorithms
Authors: H. Broman
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 03 (1996)

The second order recursive algorithm for identification of autoregressive exogenous (ARX) systems given by Broman and Andersson (see SYSID'94, 10th IFAC Symposium on System Identification, vol.3, p.447-52, 1994) is extended to an instrumental variables (IV) like second order recursive algorithm and a prediction error (PE) like second order recursive algorithm for identification of processes disturbed by colored noise. The proposed algorithms are demonstrated to have superior tracking capabilities of time varying processes than do the corresponding first order algorithms. The proposed algorithms have the same computational complexity as their first order counterparts, but some extra computer memory is required.
Efficacy of Interferon Treatment for Chronic Hepatitis C Predicted by Feature Subset Selection and Support Vector Machine
Authors: Jun Yang, Anto Satriyo Nugroho, Kazunobu Yamauchi, Kentaro Yoshioka, Jiang Zheng, Kai Wang, Ken Kato, Susumu Kuroyanagi, Akira Iwata
Venue: Journal of Medical Systems (2007)

Chronic hepatitis C is a disease that is difficult to treat. At present, interferon might be the only drug, which can cure this kind of disease, but its efficacy is limited and patients face the risk of side effects and high expense, so doctors considering interferon must make a serious choice. The purpose of this study is to establish a simple model and use the clinical data to predict the interferon efficacy. This model is a combination of Feature Subset Selection and the Classifier using a Support Vector Machine (SVM). The study indicates that when five features have been selected, the identification by the SVM is as follows: the identification rate for the effective group is 85%, and the ineffective group 83%. Analysis of selected features show that HCV-RNA level, hepatobiopsy, HCV genotype, ALP and CHE are the most significant features. The results thus serve for the doctors' reference when they make decisions regarding interferon treatment.
An empirical investigation of competency factors affecting e-business success in European SMEs
Authors: Tom R. Eikebrokk, Dag H. Olsen
Venue: Information and Management (2007)

In the last decade there was growing interest in strategic management literature about factors that influence a company's ability to use IT. There is general consensus that knowledge and competency are necessary in developing an IT capability, but there is very little understanding of what the necessary competencies are, and how they influence IS usage in different contexts. The small and medium-sized enterprise context is particularly interesting for two reasons: it constitutes a major part of the economy and it has been relatively unsuccessful in exploiting e-business. We explored the relationship between e-business competency and its success in European SMEs. A literature review was used to determine factors representing e-business competency, and develop hypotheses, which were tested using data collected from 339 SMEs in Europe. Our results provide evidence on the importance of certain e-business competencies on e-business success, and have implications for both research and practice in the field of SMEs.
On the sign-imbalance of skew partition shapes
Authors: Jonas Sjöstrand
Venue: European Journal of Combinatorics (2007)

Let the sign of a skew standard Young tableau be the sign of the permutation you get by reading it row by row from left to right, like a book. We examine how the sign property is transferred by the skew Robinson-Schensted correspondence invented by Sagan and Stanley. The result is a remarkably simple generalization of the ordinary non-skew formula. The sum of the signs of all standard tableaux on a given skew shape is the sign-imbalance of that shape. We generalize previous results on the sign-imbalance of ordinary partition shapes to skew ones.
Two-dimensional subthreshold analysis of sub-micron GaN MESFET
Authors: Sneha Kabra, Harsupreet Kaur, Subhasis Haldar, Mridula Gupta, R. S. Gupta
Venue: Microelectronics Journal (2007)

An analytical two-dimensional (2D) model to accurately predict the channel potential and electric field distribution in sub-micron GaN MESFET operating in the sub-threshold regime based on (2D) analytical solution of Poisson's equation using superposition principle is presented. The results so obtained for channel potential, electric field, threshold voltage, etc are compared with simulated data using ATLAS 2D device simulator. The model is then extended to predict the current voltage characteristics and the effects of drain induced barrier lowering (DIBL) on the performance. Furthermore, the sub-threshold output characteristics of the device are also interpreted qualitatively.
Resource prediction for media stream decoding
Authors: Juan Hamers, Lieven Eeckhout
Venue: Proceedings of the conference on Design, automation and test in Europe (2007)

Resource prediction refers to predicting required compute power and energy resources for consuming a service on a device. Resource prediction is extremely useful in a client-server setup where the client requests a media service from the server or content provider. The content provider (in cooperation with the client) can then determine what service quality to deliver given the client's available resources. This paper proposes a practical approach to predicting resources for decoding media streams. The idea is to group frames with similar decode complexity from various media streams in the content provider's database into so called scenarios. Client profiling using scenario representatives characterizes the client's computational power. This enables the content provider for predicting decode time, decode energy and quality of service for a media stream of interest once deployed on the client.
A Hardware-Based Software Protection Systems - Analysis of Security Dongles with Time Meters
Authors: Ireneusz J. Jozwiak, Krzysztof Marczak
Venue: Proceedings of the 2nd International Conference on Dependability of Computer Systems (2007)

Software piracy is the illegal duplication or the installation of copyrighted software on more computers than authorized under terms of the software license agreement. Globally, businesses and consumers will spend $300 billion on PC software over the next four years, according to International Data Corporation (IDC) estimates. Given the current market growth by country and current country-level piracy rates, during the same four-year period, we can expect almost $200 billion worth of PC software to be pirated [1]. Protecting application against not authorized copying using program solutions is impossible. If there is a possibility to start program, there is also a possibility to crackit. Cracking means that application can be used without being registered or to the application there is a mechanism added which enables to obviate implemented there protections. The device protection of software (dongles) has existed on the market for many years and it has functioned as devices protecting the software against not authorized copying and usage. The dongle significantly increases the level of security in a non-linear way, because a hardware key is an external device that is controlled and protected by the security solution provider and not the end-user. This gives the software security vendor freedom to develop specific hardware only for the purposes of enhancing security. This is not available in a software-based protection solution as it is dependent on the PC controlled by the end-user. The dissertation presents tools and techniques used to break devices' protection of software with time meters. The dongles with time meters contains an internal real-time clock, indicating the exact time and date. The dissertation provides information about the applied methods and techniques of breaking the hypothetical construction of device's protection with time meter. The research is the introduction to designing the hardware protection of programmes resistant to well-known methods of breaking through safety of electronic devices' keys.
Dispersion phase vector quantization for enhancement of waveform interpolative coder
Authors: O. Gottesmann
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 01 (1999)

This paper presents an efficient analysis-by-synthesis vector quantizer for the dispersion phase of the excitation signal which was used to enhance a waveform-interpolative coder. The scheme can be used to enhance other harmonic coders, such as the sinusoidal-transform coder and the multiband-excitation coder. The scheme incorporates perceptual weighting, and does not require any phase unwarping. The proposed quantizer achieves a segmental signal-to-noise ratio of up to 14 dB for as low as 6-bit quantization. Subjective testing shows improvement in synthesized speech quality using the quantized phase over a male speaker extracted phase. The improvement was larger for female speakers. 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
Pattern languages for handling C++ resources in an exception-safe way
Authors: Harald M. Mueller
Venue: Proceedings of the 2nd conference on USENIX Conference on Object-Oriented Technologies (COOTS) - Volume 2 (1996)

Using exception handling in C++ can lead to severe problems with dynamic objects and other resources-- dangling pointers, memory leaks etc. By using a small set of patterns (collected into a pattern language "Exception-safe C++ objects"), these problems can be avoided. However, it turns out that these pattern make use of "resource management", which poses a lot of questions in itself. For the solution of these problems, a second, somewhat larger set of patterns (collected into a pattern language "Responsibility management under exception handling") is provided.
Interactive Simulation in Web Pages: A System for Rapid Development
Authors: J. Mailen Kootsey
Venue: Proceedings of the First Asia International Conference on Modelling & Simulation (2007)

This paper describes a software system for rapid, coding-free development of interactive simulations in Web pages. The core of the system is a library of reusable objects based on the NumberLinX (NLX) architecture: GUI objects for user-controlled inputs, output displays, and controls, along with calculation objects and a manager linking all the objects. The development system included an NLX library, an application program for entering the model description, and integration of the NLX objects into a commercial Web design program for page construction.