ppxscal/embedding_network huggingface dataset:
Selective costing voting for bankruptcy prediction
Authors: S. Kotsiantis, D. Tzelepis, E. Koumanakos, V. Tampakas
Venue: International Journal of Knowledge-based and Intelligent Engineering Systems (2007)

The problem of imbalanced data sets occurs anytime one class represents a circumscribed concept, while the other represents the counterpart of that concept. The imbalanced data set problem can thus take two distinct forms: either the counterpart class is under-sampled relative to the concept class or it is over-sampled but particularly sparse. In bankruptcy prediction, classifiers are faced with imbalanced datasets: a lot of healthy firms and a smaller number of bankrupt firms. This paper firstly provides a systematic study on the various methodologies that have tried to handle the problem of imbalanced datasets. It presents an experimental study of these methodologies with a proposed technique and it concludes that such a framework can be a more effective solution to the bankruptcy prediction. Our method seems to allow improved identification of difficult small class (bankrupt firms) in predictive analysis, while keeping the classification ability of the other class (healthy firms) in an acceptable level.
Broadcast to Broadband: Unlicensed Access to Unused TV Channels?
Authors: Michael Calabrese
Venue: IEEE Internet Computing (2008)

Although much public attention has focused on the US digital TV transition and the resulting reallocation of analog TV channels by auction to wireless carriers the US Federal Communications Commission will decide how to reallocate an even larger swath of prime TV band spectrum this year: the unused "white space" between occupied DTV channels. This reallocation of unused spectrum from broadcasting to broadband permits unlicensed access for both fixed and mobile applications. Although this policy is strongly supported by high-tech companies and consumer advocates, it's just as strongly opposed by broadcast licensees and other incumbent users of the TV band.
Query preprocessing: improving web search through a Vietnamese word tokenization approach
Authors: Doan Nguyen
Venue: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval (2008)

In this poster paper, we propose a novel approach to improve web search relevancy by tokenizing a Vietnamese query text prior submitting it to a search engine. Evaluations demonstrate its effectiveness and practical value.
A generic qualitative characterization of independence of causal influence
Authors: M. A. J. van Gerven, P. J. F. Lucas, Th. P. van der Weide
Venue: International Journal of Approximate Reasoning (2008)

Independence of causal influence (ICI) offer a high level starting point for the design of Bayesian networks. However, these models are not as widely applied as they could, as their behavior is often not well-understood. One approach is to employ qualitative probabilistic network theory in order to derive a qualitative characterization of ICI models. In this paper we analyze the qualitative properties of ICI models with binary random variables. Qualitative properties are shown to follow from the characteristics of the Boolean function underlying the model. In addition, it is demonstrated that the theory also allows finding constraints on the model parameters given knowledge of the qualitative properties. This high-level qualitative characterization offers a new way of identifying suitable ICI models and may facilitate their exploitation in developing real-world Bayesian networks.
Research and Design for IPSec Architecture on Kernel
Authors: Jiang HanPing, Yan Jun
Venue: Proceedings of the First International Workshop on Knowledge Discovery and Data Mining (2008)

Networks are evolving to deliver a flexible mix of data, voice and video content. Application delivery mandates the need to process intelligent layer 2 to layer 7 data and content at line rate. These characteristics demand an improvement highperformance software architecture based on multi-core network processor. It implements the "low-layer processing" strategy to design an efficient and flexible kernel performance. The paper design control plane/data plane and fast path /slow path on kernel to implement IPSec. Keywords: IPSec, multi-core , architecture ,kernel
Study on the Application of SVM in Supplier Primary Election
Authors: Lili Cai, Fugeng Song, Deling Yuan
Venue: Proceedings of the First International Workshop on Knowledge Discovery and Data Mining (2008)

Supplier selection is one of the most important things in supply chain management, the process of choosing a suitable supplier will effect enterprise's production and quality directly. This article puts forward a two-stage model of supplier selection based on analysis the problem of supplier management. It plots out the process as primary election stage and well-chosen stage, and builds up seven criteria to evaluate suppliers in primary election phase. Then, this context uses support vector machine to select suppliers and pays attention to two kinds of error -treat candidate supplier as non-candidate supplier and treat non-candidate supplier as candidate supplier. At last, a numerical simulation is used to explain selection of kernel function and sample training; the result reveals that this new method is practical and realistic and could reduce selection time.
Modeling Biological Systems in Stochastic Concurrent Constraint Programming
Authors: Luca Bortolussi, Alberto Policriti
Venue: Constraints (2008)

We present an application of stochastic Concurrent Constraint Programming (sCCP) for modeling biological systems. We provide a library of sCCP processes that can be used to describe straightforwardly biological networks. In the meanwhile, we show that sCCP proves to be a general and extensible framework, allowing to describe a wide class of dynamical behaviours and kinetic laws.
A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets
Authors: Alberto Fernández, Salvador García, María José del Jesus, Francisco Herrera
Venue: Fuzzy Sets and Systems (2008)

In the field of classification problems, we often encounter classes with a very different percentage of patterns between them, classes with a high pattern percentage and classes with a low pattern percentage. These problems receive the name of ''classification problems with imbalanced data-sets''. In this paper we study the behaviour of fuzzy rule based classification systems in the framework of imbalanced data-sets, focusing on the synergy with the preprocessing mechanisms of instances and the configuration of fuzzy rule based classification systems. We will analyse the necessity of applying a preprocessing step to deal with the problem of imbalanced data-sets. Regarding the components of the fuzzy rule base classification system, we are interested in the granularity of the fuzzy partitions, the use of distinct conjunction operators, the application of some approaches to compute the rule weights and the use of different fuzzy reasoning methods.
A Conceptual Framework for Application Comprehension
Authors: Venkat N. Gudivada, Jagadeesh Nandigam, Jay Bhuyan
Venue: Proceedings of the Fifth International Conference on Information Technology: New Generations (2008)

The scope and purpose of application comprehension is much broader than that of program comprehension. Application comprehension can be viewed as a spectrum spanning the gamut comprising code-level understanding at one end (low level) and understanding the architecture of interorganizational systems at the other end (high level). The nature and the depth of knowledge sought through application comprehension is directly related to the purpose at hand. In this paper, we propose a unified conceptual framework for application comprehension. The framework is influenced by Bloom's taxonomy. The proposed framework considers several aspects of application comprehension and draws upon our experience in developing large-scale, multi-tier distributed applications for brokerage and financial services. We discuss how the proposed conceptual framework can be implemented by leveraging the sophisticated tools that are available as open-source software. We conclude the paper by indicating how the proposed framework can be used to learn software engineering principles, tools, and practices in education and training contexts.
Spectral discrimination of dolerite in crushed rock road aggregate, Perth, Western Australia
Authors: M. A. Wells, T. Cullinane
Venue: International Journal of Remote Sensing (2007)

Reflectance spectroscopic analysis, covering the visible to short-wave infrared wavelength range (400 to 2500 nm), was tested on 56 light granite, dark granite and dolerite chips that typically comprise crushed rock aggregate quarried for use as road-surfacing within the Perth, Western Australia (WA) metropolitan area. The technique was evaluated as a means of identifying and quantifying the proportion of dolerite within a bulk sample of granitic road aggregate. The ratio of the absorption depth at 2350 nm to the absorption depth at 2200 nm, for log-space difference spectra (R2350 : 2200), successfully identified and discriminated with 100% accuracy all dolerite versus granitic rock chips tested. It is recommended that reflectance spectroscopy replace the current testing methodology (Colour of Aggregate Test) as the standard method of quantifying dolerite content in road surface aggregate.
Neural network solution for finite-horizon H∞ state feedback control of nonlinear systems
Authors: Tao Cheng, Frank L. Lewis, Murad Abu-Khalaf
Venue: International Journal of Systems Science (2007)

In this article, neural networks are used to approximately solve the finite-horizon optimal H∞ state feedback control problem. The method is based on solving a related Hamilton Jacobi Isaacs equation of the corresponding finite-horizon zero-sum game. The neural network approximates the corresponding game value function on a certain domain of the state-space and results in a control computed as the output of a neural network. It is shown that the neural network approximation converges uniformly to the game-value function and the resulting controller provides closed-loop stability and bounded L2 gain. The result is a nearly exact H∞ feedback controller with time-varying coefficients that is solved a priori offline. The results of this article are applied to the rotational/translational actuator benchmark nonlinear control problem.
Schedulability analysis of global EDF
Authors: Sanjoy Baruah, Theodore Baker
Venue: Real-Time Systems (2008)

The multiprocessor EDF scheduling of sporadic task systems is studied. A new sufficient schedulability test is presented and proved correct. It is shown that this test generalizes the previously-known exact uniprocessor EDF-schedulability test, and that it offers non-trivial quantitative guarantees (including a resource augmentation bound) on multiprocessors.
On the length of the Wadge hierarchy of ω-context-free languages
Authors: Olivier Finkel
Venue: Journal of Automata, Languages and Combinatorics (2005)

We prove in this paper that the length of the Wadge hierarchy of ω-context-free languages is greater than the Cantor ordinal εω, which is the ωth fixed point of the ordinal exponentiation of base ω. We show also that there exist some Σω0-complete ω-context-free languages, improving previous results on ω-context-free languages and the Borel hierarchy.
Money and inflation in a nonlinear model
Authors: Donald A. R. George, Les Oxley
Venue: Mathematics and Computers in Simulation (2008)

A nonlinear model of inflation and growth, with a fixed rate of money growth, is developed and its global dynamics analysed. These are compared with the local, linearised dynamics of the model. It is shown that the global dynamics of the model plausibly predict hyperinflationary bubbles, which are not present in the linearised version. Numerical simulations of the model are presented.
Analyticity of weighted central paths and error bounds for semidefinite programming
Authors: Chek Beng Chua
Venue: Mathematical Programming: Series A and B (2008)

The purpose of this paper is two-fold. Firstly, we show that every Cholesky-based weighted central path for semidefinite programming is analytic under strict complementarity. This result is applied to homogeneous cone programming to show that the central paths defined by the known class of optimal self-concordant barriers are analytic in the presence of strictly complementary solutions. Secondly, we consider a sequence of primal&#x2013;dual solutions that lies within a prescribed neighborhood of the central path of a pair of primal&#x2013;dual semidefinite programming problems, and converges to the respective optimal faces. Under the additional assumption of strict complementarity, we derive two necessary and sufficient conditions for the sequence of primal&#x2013;dual solutions to converge linearly with their duality gaps.
Task Dependency of User Perceived Utility in Autonomic VoIP Systems
Authors: Edward Stehle, Maxim Shevertalov, Paul deGrandis, Spiros Mancoridis, Moshe Kam
Venue: Proceedings of the Fourth International Conference on Autonomic and Autonomous Systems (2008)

The transmission of voice-over-Internet protocol (VoIP) network traffic is used in an increasing variety of applications and settings. Many of these applications involve communications where VoIP systems are deployed under unpredictable conditions with poor network support. These conditions make it difficult for users to configure and optimize VoIP systems and this creates a need for self configuring and self optimizing systems. To build an autonomic system for VoIP communications, it is valuable to be able to measure the user perceived utility of a system. In this paper we identify factors important to the estimation of user perceived utility in task dependent VoIP communications.
Comprehending Boolean queries
Authors: Jiwen Huo, Wm Cowan
Venue: Proceedings of the 5th symposium on Applied perception in graphics and visualization (2008)

Data selection is an integral part of information visualization. It almost universally incorporates Boolean logic in some way, despite the known difficulties of Boolean concepts for users. As a result many different visual interfaces have been proposed for specifying or displaying Boolean queries. In general they are tested experimentally, and though the results are usually promising, they normally show only that one interface is better or worse than another, but not why this is so. This paper describes a new experimental methodology for evaluating query interfaces, which uses stimulus onset asynchrony to separate different aspects of query comprehension. We used it to evaluate a new visual query interface based on Karnaugh maps and discovered that there are two qualitatively different approaches to comprehension, deductive and inductive. The Karnaugh map representation scales extremely well with query complexity, and the experiments show that its good scaling properties occur because it strongly facilitates inductive comprehension.
Lockr: social access control for web 2.0
Authors: Amin Tootoonchian, Kiran Kumar Gollu, Stefan Saroiu, Yashar Ganjali, Alec Wolman
Venue: Proceedings of the first workshop on Online social networks (2008)

Sharing personal content online is surprisingly hard despite the recent emergence of a huge number of content sharing systems and sites. These systems suffer from several drawbacks: they each have a different way of providing access control which cannot be used with other systems; moving to a new system is a lengthy process and requires registration and invitation of all one's friends to the new system; and the rules for access control are complicated and become more so as our networks of online friends grow. In this paper, we present Lockr - an access control scheme based on social relationships that makes sharing personal content easy. Lockr separates social networking information from the content sharing mechanisms, thereby eliminating the need for users to maintain many site-specific copies of their social networks. We describe Lockr's design, security properties, and limitations. We also present how we integrated Lockr with two popular systems for sharing content online - BitTorrent and Flickr.
Convergence of SSOR multisplitting method for an H-matrix
Authors: Jae Heon Yun
Venue: Journal of Computational and Applied Mathematics (2008)

In this paper, we study the convergence of both the multisplitting method and the relaxed multisplitting method associated with SSOR multisplitting for solving a linear system whose coefficient matrix is an H-matrix. We also introduce an application of the SSOR multisplitting method.
First step in a PC cluster development with openMosix
Authors: Javier Bilbao, Gorka Garate
Venue: Proceedings of the 4th WSEAS International Conference on Applied Informatics and Communications (2004)

It is possible to make high calculation capacity machines by the interconnection of equipments with high speed networks. This kind of systems is called distributed systems and nowadays they are the most used technology in order to resolve problems that require high calculation capacity. Thus, computer clusters are being developed. Clustering allows multiple computers to work together to solve common computing problems. In this paper, one of the different types of clusters is presented, openMosix. The work also evaluates the cluster by two case studies, where the execution time of the solved problems is improved.
Successes and failures to embed socioeconomic dimensions in integrated natural resource management modeling: Lessons from Thailand
Authors: B. Ekasingh, R. A. Letcher
Venue: Mathematics and Computers in Simulation (2008)

This paper discusses the necessity, successes, and failures of attempts to embed socioeconomic aspects into integrated natural resource modeling. It examines experiences in Thailand over the past 20-30 years to illustrate advances and difficulties experienced in these attempts. The paper explores different approaches which are used to incorporate socioeconomic dynamic processes and impacts into integrated assessments. Lessons learnt from Thai experiences starting from systems approaches and modeling agricultural and watershed management are reviewed. It is found that greater success has been experienced with the inclusion of agricultural and natural resource economists, who have experience dealing with quantitative methods and ''hard'' systems dynamics. The need for the ''soft'' side of assessment is recognized but is not easily realized. Failures to include other social science disciplines in integrated assessment have been caused by factors such as administrative boundaries, inadequate linkages between social theories and differences in agendas. Some modeling approaches, such as agent-based systems or multi-agent systems are well tuned to socioeconomic variables but their use by policy makers is still in experiment. Balancing ''hard'' and ''soft'' systems approaches will improve the relevance and validity of the models to solve agricultural and natural resource problems but this is still an art which requires patience and perseverance on the part of both the biophysical and social scientists involved.
Teaching software development with ATDD and easyaccept
Authors: Jacques Philippe Sauvé, Osório Lopes Abath Neto
Venue: Proceedings of the 39th SIGCSE technical symposium on Computer science education (2008)

In this paper, we report our experience in teaching software development to Computer Science undergraduate students using acceptance test-driven development (ATDD) and the acceptance testing tool EasyAccept. A typical software design course in a Computer Science curriculum has been modified to include project assignments with executable analysis, which gives students more focus on meeting requirements, boosts confidence in the code being written and results in increased software correctness. We evaluate the benefits of the approach and give suggestions on how to cope with its limitations.
Active control of electro-rheological fluid embedded pneumatic vibration isolator
Authors: Ming-Chang Shih, Teng-Yen Wang
Venue: Integrated Computer-Aided Engineering (2008)

Vibration isolation is crucial to better product quality in precision machinery, and can be achieved through either passive or active vibration control systems. Although passive pneumatic vibration isolators have excellent isolation characteristics at high frequencies, the external vibrations may be amplified at resonance frequencies. The requirement of lower transmissibility over the entire frequency ranges leads to the development of active pneumatic isolators. In this study, an active pneumatic vibration isolator embedded with an electro-rheological-fluid damper is designed. A fuzzy controller and a pneumatic servo control system are used to regulate the air flow into or out of the top chamber of the isolator, thus decreasing the transmissibility at high frequencies. The controller also forwards the control signals to control the strength of the electric field applied to the ER damper, thus controlling the damping force needed to reduce the amplified vibrations at natural frequencies. The results show that the proposed active pneumatic vibration isolator embedded with an electro-rheological-fluid damper can effectively enhance the vibration isolation performance over the entire frequency range.
Aspect-oriented modeling approach to define routing in enterprise service bus architectures
Authors: Vina Ermagan, Ingolf H. Krüger, Massimiliano Menarini
Venue: Proceedings of the 2008 international workshop on Models in software engineering (2008)

System-of-systems integration is a fundamental challenge to Software Engineering. Enterprise Service Bus (ESB) technologies help overcoming this challenge by addressing loose coupling of services while provisioning for crosscutting concerns. ESBs use aspect-oriented techniques and flexible message routing and filtering to support decoupling of the business logic from crosscutting concerns such as encryption and failure management. These characteristics have led to an increasing adoption of ESBs in the enterprise business domain. However, currently there is no systematic development approach for Service-Oriented Architectures (SOAs) ranging from requirements analysis to architecture design to ESB deployment. A core challenge is the precise specification of the routing capabilities of the ESB. A viable solution should maintain the decoupling of crosscutting concerns from the business logic while being able to reason about the integrated interaction pattern. In this paper we leverage the Rich Service architectural blueprint in combination with Aspect-Oriented Modeling techniques to address this problem.
Ncore: architecture and implementation of a flexible, collaborative digital library
Authors: Dean B. Krafft, Aaron Birkland, Ellen J. Cramer
Venue: Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries (2008)

NCore is an open source architecture and software platform for creating flexible, collaborative digital libraries. NCore was developed by the National Science Digital Library (NSDL) project, and it serves as the central technical infrastructure for NSDL. NCore consists of a central Fedora-based digital repository, a specific data model, an API, and a set of backend services and frontend tools that create a new model for collaborative, contributory digital libraries. This paper describes NCore, presents and analyzes its architecture, tools and services; and reports on the experience of NSDL in building and operating a major digital library on it over the past year and the experience of the Digital Library for Earth Systems Education in porting their existing digital library and tools to the NCore platform.