ppxscal/embedding_network huggingface dataset:
Fast PWM-Based Test for High Resolution ΣΔ ADCs
Authors: Daniela De Venuto, Leonardo Reyneri
Venue: Journal of Electronic Testing: Theory and Applications (2007)

This work describes a novel test strategy that uses digital stimuli for cheap, fast, though accurate, testing of high resolution ΣΔ ADCs. Simulations and measurements showed a discrimination threshold on specification parameters up to ¿90 dBc. The proposed method helps to reduce the cost of ADC production test, to extend test coverage and to enable built-in self-test and test-based self-calibration.
Automating the identification of variability realisation techniques from feature models
Authors: Rachel Gawley
Venue: Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering (2007)

In Software Product Line Engineering (SPLE), feature modelling is frequently used to model commonalities and variabilities within a domain. A feature model captures an abstract view of a product line and it can serve as a starting point for software design and component implementation. Handling variability exposed within the feature model is an important problem in this context, and in this paper, we describe ongoing research aimed at automating the identification of variability realisation techniques from feature models
Beyond Mining: Characterizing the Data Generation Process
Authors: Vasufha Bhatnagar, Sarabjeet Kochhar
Venue: Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications (2007)

Data in databases is the outcome of an underlying data generation process (dgp), which is a complex function of unknown number of parameters. A few of these parame- ters may be known and understood by the domain expert or the end-user. The trends hidden in the evolving databases evolve with time and are manifestations of the underlying dgp. We believe that one of the objectives of the KDD tech- nology is to discover the unknown parameters of the dgp and enable its characterization. This is a pre-requisite for developing capabilities to understand and possibly control the dgp. In this paper we draw the attention of the data mining re- search community towards the need to look beyond mining. The community is already paying serious attention to the is- sue of changes in the patterns discovered from evolving data repositories. We identify the commanalities in these works and show that they fit in a common framework where the discovered knowledge is consolidated and deviations are quantified. We extend this framework by introducing ab- straction levels facilitation characterization of the underly- ing data generation process. Keywords: Data Generation Process, Evolving Database, Change Modeling, Characterization, User Subjectivity
Estimating tail probabilities of heavy tailed distributions with asymptotically zero relative error
Authors: S. Juneja
Venue: Queueing Systems: Theory and Applications (2007)

Efficient estimation of tail probabilities involving heavy tailed random variables is amongst the most challenging problems in Monte-Carlo simulation. In the last few years, applied probabilists have achieved considerable success in developing efficient algorithms for some such simple but fundamental tail probabilities. Usually, unbiased importance sampling estimators of such tail probabilities are developed and it is proved that these estimators are asymptotically efficient or even possess the desirable bounded relative error property. In this paper, as an illustration, we consider a simple tail probability involving geometric sums of heavy tailed random variables. This is useful in estimating the probability of large delays in M/G/1 queues. In this setting we develop an unbiased estimator whose relative error decreases to zero asymptotically. The key idea is to decompose the probability of interest into a known dominant component and an unknown small component. Simulation then focuses on estimating the latter `residual' probability. Here we show that the existing conditioning methods or importance sampling methods are not effective in estimating the residual probability while an appropriate combination of the two estimates it with bounded relative error. As a further illustration of the proposed ideas, we apply them to develop an estimator for the probability of large delays in stochastic activity networks that has an asymptotically zero relative error.
On Teaching Ubiquitous Computing
Authors: Lu Yan
Venue: IEEE Distributed Systems Online (2007)

As industry demand for ubiquitous computing applications continues to increase, universities are beginning to offer related courses. A graduate-level ubicomp course at Finland's Åbo Akademi University taught both system design and research advancements to meet the students' career goals. The instructor gained experiences and learned lessons that can help other educators in the field.
Continua: An Interoperable Personal Healthcare Ecosystem
Authors: Randy Carroll, Rick Cnossen, Mark Schnell, David Simons
Venue: IEEE Pervasive Computing (2007)

In an effort to develop interoperability guidelines for the emerging personal telehealth ecosystem, the authors formed the Continua Health Alliance. The guidelines will be based on a comprehensive set of industry standards, which will serve as a blueprint for integrating a product into the ecosystem.
Feature extraction with texture spectrum and ILHS colour histogram for segmentation of images using OSP based classifiers
Authors: V. Praneeth
Venue: Proceedings of the third conference on IASTED International Conference: Advances in Computer Science and Technology (2007)

In this paper, an orthogonal subspace projection (OSP) approach, successfully used on hyperspectral images has been chosen for classification of image data prior to segmentation as it has a distinct advantage of separating undesired signatures and interferences within a pixel by decomposing a pixel into a signature space and a noise space, where the desired signature is retrieved using a matched filter. Now our main problem, prior to using an OSP approach is that an OSP requires a good knowledge of signature abundances and expressive features and characteristics of images to be collected for an OSP based classifier to function properly. Hence, it is required to efficiently extract feature vectors for training purposes from images. We have chosen to extract feature vectors based on the important image characteristics of 'texture' and 'colour'. The two procedures: (a.) Texture Spectrum and (b.) Colour Histogram from ILHS 3D-Polar coordinate space are used for extraction of feature vectors from the given image. Finally, various criteria for comparison of images based on texture spectrum have been mentioned. An advantageous application of such measures is that, they can be used for developing algorithms for efficient content based retrieval from image databases. Implementation of this approach presented has been done in 'Matlab' and the results of the texture spectrum, ILHS histogram verified with the spectrum given in [2] before proceeding to images of our own interest.
Improved bounds on partial derivatives of rational triangular Bézier surfaces
Authors: Qian-Qian Hu, Guo-Jin Wang
Venue: Computer-Aided Design (2007)

This paper applies inequality skill, degree elevation of triangular Bezier surfaces and difference operators to deduce the bounds on first and second partial derivatives of rational triangular Bezier surfaces. Further more, we prove that the new bounds are tighter and more effective than the known ones. All the results are obviously helpful for further optimization of geometric design systems.
A neural fuzzy power system stabilizer based on &alpha;-level sets
Authors: Y. W. Eng, S. Elangovan
Venue: Journal of Intelligent Fuzzy Systems: Applications in Engineering and Technology (1999)

A new type of fuzzy logic power system stabilizer is proposed in this paper. It is constructed using a five-layered neural fuzzy network architecture based on &alpha;-level fuzzy sets. The workability of this neural fuzzy power system stabilizer is first demonstrated using regularly spaced and triangular fuzzy sets. Then, it is shown that the fuzzy sets can be tuned so as to improve the damping performance of the stabilizer. To obtain the desired output for backpropagation to be applied, the network output is altered at a randomly chosen time instant. The altered output is then taken as the desired output if the stabilizer performs better than without the alteration. Simulation results show that the performance of the neural fuzzy network can be improved within 30 training cycles.
An Improved Bagging Neural Network Ensemble Algorithm and Its Application
Authors: Ruqing Chen, Jinshou Yu
Venue: Proceedings of the Third International Conference on Natural Computation - Volume 05 (2007)

For aggregation to be effective the component artificial neural networks (ANNs) must be as accurate and diverse as possible, an improved Bagging neural network ensemble algorithm is proposed to cope with this problem. The Euclidean distances between two arbitrary samples of the original training set are analyzed, the training subsets of component ANNs are distilled from this set then. The subsets elements have good properties of ergodicity and representativeness in sample space. The outputs of component ANNs are combined via weighted averaging and the optimal weights are determined by particle swarm optimization. Experimental studies on four typical regression datasets show that this approach has improved the quality of training subsets. Thus, the ensemble generalization ability is improved. Finally the improved algorithm is applied to construct an ANN-based soft sensor model for real-time measuring the ethylene yield. Application results show that this model has high measuring precision as well as good generalization ability.
Developing and analyzing intuitive modes for interactive object modeling
Authors: Alexander Kasper, Regine Becher, Peter Steinhaus, Rüdiger Dillmann
Venue: Proceedings of the 9th international conference on Multimodal interfaces (2007)

In this paper we present two approaches for intuitive interactive modelling of special object attributes by use of specific sensoric hardware. After a brief overview over the state of the art in interactive, intuitive object modeling, we motivate the modeling task by deriving the dierent object attributes that shall be modeled from an analysis of important interactions with objects. As an example domain, we chose the setting of a service robot in a kitchen. Tasks from this domain were used to derive important basic actions from which in turn the necessary object attributes were inferred. In the main section of the paper, two of the derived attributes are presented, each with an intuitive interactive modeling method. The object attributes to be modeled a restable object positions and movement restrictions for objects. Both of the intuitive interaction methods were evaluated with a group of test persons and the results are discussed. The paper ends with conclusions on the discussed results and a preview of future work in this area, in particular of potential applications.
MOUSETRAP: high-speed transition-signaling asynchronous pipelines
Authors: Montek Singh, Steven M. Nowick
Venue: IEEE Transactions on Very Large Scale Integration (VLSI) Systems (2007)

An asynchronous pipeline style is introduced for high-speed applications, called MOUSETRAP. The pipeline uses standard transparent latches and static logic in its datapath, and small latch controllers consisting of only a single gate per pipeline stage. This simple structure is combined with an efficient and highly-concurrent event-driven protocol between adjacent stages. Post-layout SPICE simulations of a ten-stage pipeline with a 4-bit wide datapath indicate throughputs of 2.1-2.4 GHz in a 0.18-µm TSMC CMOS process. Similar results were obtained when the datapath width was extended to 16 bits. This performance is competitive even with that of wave pipelines [40], [19] without the accompanying problems of complex timing and much design effort. Additionally, the new pipeline gracefully and robustly adapts to variable speed environments. The pipeline stages are extended to fork and join structures, to handle more complex system architectures.
High tech, high touch: The effect of employee skills and customer heterogeneity on customer satisfaction with enterprise system support services
Authors: Narayan Ramasubbu, Sunil Mithas, M. S. Krishnan
Venue: Decision Support Systems (2008)

Although firms have invested significant resources in implementing enterprise software systems (ESS) to modernize and integrate their business process infrastructure, customer satisfaction with ESS has remained an understudied phenomenon. In this exploratory research study, we investigate customer satisfaction for support services of ESS and focus on employee skills and customer heterogeneity. We analyze archival customer satisfaction data from 170 real-world customer service encounters of a leading ESS vendor. Our analysis indicates that the technical and behavioral skills of customer support representatives play a major role in influencing overall customer satisfaction with ESS support services. We find that the effect of technical skills on customer satisfaction is moderated by behavioral skills. We also find that the technical skills of the support personnel are valued more by repeat customers than by new customers. We discuss the implications of these findings for managing customer heterogeneity in ESS support services and for the allocation and training of ESS support personnel.
Existence of Three Solutions for a Fourth-order Two-point Boundary Value Problem
Authors: Jinsheng Liu, Jietao Zou
Venue: Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 01 (2007)

In this paper, we deal with a fourth-order two-point boundary value problem. The existence of an open interval of parameter so that the problem has at least three solutions is established. The approach involved is based on the variational method and critical point theory.
A Messaging Network to Realize an SOA-Based System
Authors: Takafumi Hayashi, Hideyuki Fukuhara, Ryutaroh Fuijta, Toshiaki Miyazaki, Senro Saito
Venue: Proceedings of the 7th IEEE International Conference on Computer and Information Technology (2007)

This present paper introduces an approach to construct an SOA-based system using a messaging network. The pro- posed solution uses a messaging networking, which is a type of overlay networking. The proposed approach can re- duce the complexity and the maintenance cost of the system, which both makes an information system vulnerable. There- fore, the proposed approach can contribute to the construc- tion of a secure information system. The requirements of a messaging network for an SOA-based system are presented.
A Two Layered Approach for Querying Integrated XML Sources
Authors: Felipe Victolla Silveira, Carlos A. Heuser
Venue: Proceedings of the 11th International Database Engineering and Applications Symposium (2007)

The problem of data integration (query decomposition, data fragmentation) has been widely studied in literature, but the inherent hierarchical nature of XML data presents problems that are specific to this data model. Each many-to-many conceptual relationship must be mapped to a specific hierarchical structure in XML. Different XML sources may implement the same many-to-many conceptual relationship in different ways. In our approach the problem of integration of XML data sources is decomposed in two problems: (1) that of fragmentation of a global graph-like model (e.g., an ER model) into several local graph-like models conceptually representing data sources and (2) that of mapping the local graph-like model into an XML tree-like schema. This paper presents a set of fragmentation operators specifically designed for our approach, as well as a query decomposition mechanism that allows a query stated at the conceptual level to be decomposed into an XQuery statement at the XML level. As the query language at the conceptual level, we adopt CXPath (conceptual XPath) a query language we have defined in previous work.
A Rule Extraction Method Based on Meta-information
Authors: Jian Su, Wenyong Weng
Venue: Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 03 (2007)

Rule extraction is an important research area of rough set theory. Many rule extraction methods, such as LEM2, are proposed. However, almost all these methods are on the assumption that they are dealing with a centralized dataset. A costly work of data integration is inevitable for these methods in case of distributed data environment. Meanwhile, meta-information is a compact description of information system or its sub-systems, and the cost of meta-information integration is much less than data integration. Moreover, since the volume of meta-information is much lower than the corresponding original dataset, the cost of operations on the meta-information is comparatively less. In order to take advantage of the meta-information mechanism, a minimal rule set extraction method is proposed in this paper on the basis of meta-information and the complexity of this method is much less than LEM2.
Approaching the ERP Project Cost Estimation Problem: an Experiment
Authors: M. Daneva
Venue: Proceedings of the First International Symposium on Empirical Software Engineering and Measurement (2007)

This poster reports on a solution to ERP project cost estimation and on results from its first experimental application.
An Equational Axiomatization for the Disjoint System of Post Algebras
Authors: G. Epstein
Venue: IEEE Transactions on Computers (1973)

It is shown that the class of Post algebras of finite order n is equationally definable where the only unary operators are the disoint operators Ci, i = 0, 1,..., n -1.
Synthesizing client load models for performance engineering via web crawling
Authors: Yuhong Cai, John Grundy, John Hosking
Venue: Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering (2007)

Accurate web application performance testing relies on the use of loading tests based on a realistic client behaviour load model. Unfortunately developing such load models and associated test plans and scripts is tedious and error-prone with most existing web performance testing tools providing limited client load modelling capabilities. We describe a new approach and toolset that we have developed, MaramaMTE+, which improves the ability to model realistic web client load behaviour, automatically generates complex web application testing plans and scripts, and integrates load behaviour modelling with a generic performance engineering tool. MaramaMTE+ uses a stochastic form chart as its client loading model. A 3rd party web crawler application extracts structural information from a target web site, aggregating the collected data into a crawler database that is then used for form chart model generation. The performance engineer then augments this synthesized form chart with client loading probabilities. Realistic web loading tests for a 3rd party web load testing tool are then automatically generated from this resultant stochastic form chart client load model. We describe the development of our MaramaMTE+ environment, example usage of the tool, and compare and contrast the results obtained from our generated performance load tests against hand-built 3rd party tool load tests
vCRM: virtual customer relationship management
Authors: Lakshmi Goel, Elham Mousavidin
Venue: ACM SIGMIS Database (2007)

Virtual worlds provide companies opportunities for valuable co-creation and co-production with their customers. In order to harness this potential, companies need to design effective entry strategies for virtual customer relationship management or vCRM. Understanding how self-expression and collaboration work in virtual worlds can help design better customer-facing strategies. In this paper, we provide a roadmap for companies that want to leverage virtual worlds for vCRM.
Investigation of three-dimensional pattern collapse owing to surface tension using an imperfection finite element model
Authors: Sang-Hu Park, Kwang Ho Kim, Tae Woo Lim, Dong-Yol Yang, Kwang-Sup Lee
Venue: Microelectronic Engineering (2008)

Precise fabrication of three-dimensional (3D) microstructures having nano-details has become realized using two-photon induced photopolymerization (TPP) since several years ago; and now, this technology is recognized as a promising process for the creation of 3D neo-conceptive nano- and microscale devices. However, there are still important issues to be settled for the practical use of TPP. One of them is the 3D pattern collapse due to the surface tension of rinse materials in a development process, which impedes the progress of 3D precise microfabrication via TPP. To solve this issue effectively, finite element analyses of 3D pattern collapse using an imperfection model were conducted. Overall of this work, we showed the mechanism of 3D pattern collapse and the way how to reduce pattern deformation effectively during a developing process using experimental and analytical approaches.
Improving risk management practices for IT projects
Authors: Tak Wah Kwan, Hareton K. N. Leung
Venue: Proceedings of the third conference on IASTED International Conference: Advances in Computer Science and Technology (2007)

Although a number of risk management processes and guidelines have been developed, many IT projects still fail due to inadequate management of project risks. In fact, risk management is an emerging practice to be applied in managing IT projects, and very few studies have been conducted to transfer it into industrial practices. In this paper, some weaknesses are identified in the available tools and techniques that affect the effective use of risk management practices. Two new practices and an implementation model are proposed to address these weaknesses.
On the problem of placing names on a map
Authors: Herbert Freeman
Venue: Journal of Visual Languages and Computing (2007)

Probably the most difficult task of producing a map is that of placing the text for the point, line and area features that one expects to see depicted on a geographic map. This paper describes the problem, its subtleties, and challenges, and outlines a computerized approach to solving it. With the newly developed methods, it is now possible to produce fully labeled maps and charts with a quality that approaches that achievable only by an expert cartographer and to do so in tiny fraction of the time required when done manually.
Boolean Integral Calculus for Digital Systems
Authors: J. H. Tucker
Venue: IEEE Transactions on Computers (1985)

The concept of Boolean integration is introduced and developed. When the changes in a desired function are specified in terms of changes in its arguments, then ways of "integrating" (i.e., realizing) the function, if it exists, are presented. Boolean integral calculus has applications in design of logic circuits.
The promise, and limitations, of gossip protocols
Authors: Ken Birman
Venue: ACM SIGOPS Operating Systems Review (2007)

Recent years have seen a surge of interest in gossip protocols, with proposals to apply them for purposes ranging from autonomic self-management, repair of inconsistencies, reliable multicast and distributed search. Yet the field of distributed computing is littered with technologies that had initial promise, but were ultimately rejected by the industry. Researchers who measure their work through its impact need to ask some tough, basic questions. What are the uses to which gossip is particularly well-matched, and what are its limitations? What alternatives are there to gossip-based solutions, and when would we be better-off using a non-gossip protocol? When, in effect, is gossip the technology of choice?