ppxscal/embedding_network huggingface dataset:
Robust Frequency Domain Acoustic Echo Cancellation Filter Employing Normalized Residual Echo Enhancement
Authors: Suehiro Shimauchi, Yoichi Haneda, Akitoshi Kataoka
Venue: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (2008)

We propose a new robust frequency domain acoustic echo cancellation filter that employs a normalized residual echo enhancement. By interpreting the conventional robust step-size control approaches as a statistical-model-based residual echo enhancement problem, the optimal step-size introduced in the most of conventional approaches is regarded as optimal only on the assumption that both the residual echo and the outlier in the error output signal are described by Gaussian distributions. However, the Gaussian-Gaussian mixture assumption does not always hold well, especially when both the residual echo and the outlier are speech signals (known as a double-talk situation). The proposed filtering scheme is based on the Gaussian-Laplacian mixture assumption for the signals normalized by the reference input signal amplitude. By comparing the performances of the proposed and conventional approaches through the simulations, we show that the Gaussian-Laplacian mixture assumption for the normalized signals can provide a better control scheme for the acoustic echo cancellation.
Correlations among prototypical usability metrics: evidence for the construct of usability
Authors: Jeff Sauro, James R. Lewis
Venue: Proceedings of the 27th international conference on Human factors in computing systems (2009)

Correlations between prototypical usability metrics from 90 distinct usability tests were strong when measured at the task-level (r between .44 and .60). Using test-level satisfaction ratings instead of task-level ratings attenuated the correlations (r between .16 and .24). The method of aggregating data from a usability test had a significant effect on the magnitude of the resulting correlations. The results of principal components and factor analyses on the prototypical usability metrics provided evidence for an underlying construct of general usability with objective and subjective factors.
Optimization of the parameterized Uzawa preconditioners for saddle point matrices
Authors: Zeng-Qi Wang
Venue: Journal of Computational and Applied Mathematics (2009)

The parameterized Uzawa preconditioners for saddle point problems are studied in this paper. The eigenvalues of the preconditioned matrix are located in (0, 2) by choosing the suitable parameters. Furthermore, we give two strategies to optimize the rate of convergence by finding the suitable values of parameters. Numerical computations show that the parameterized Uzawa preconditioners can lead to practical and effective preconditioned GMRES methods for solving the saddle point problems.
Using instance-level constraints in agglomerative hierarchical clustering: theoretical and empirical results
Authors: Ian Davidson, S. S. Ravi
Venue: Data Mining and Knowledge Discovery (2009)

Clustering with constraints is a powerful method that allows users to specify background knowledge and the expected cluster properties. Significant work has explored the incorporation of instance-level constraints into non-hierarchical clustering but not into hierarchical clustering algorithms. In this paper we present a formal complexity analysis of the problem and show that constraints can be used to not only improve the quality of the resultant dendrogram but also the efficiency of the algorithms. This is particularly important since many agglomerative style algorithms have running times that are quadratic (or faster growing) functions of the number of instances to be clustered. We present several bounds on the improvement in the running times of algorithms obtainable using constraints.
Comparison of 3D reconstruction techniques for engineering drawings from orthographic projections
Authors: Muhammad Abuzar Fahiem, Shaiq A. Haq, Muhammad Rizwan Sabir
Venue: Proceedings of the 6th conference on Applications of electrical engineering (2007)

3D reconstruction of objects form orthographic projections of engineering drawing has been very crucial research area since decades. In this paper, we have critically reviewed the latest approaches dealing with single view and multi view. Different approaches have been discussed with respect to bottom-up and top-down reconstruction. Many other parameters such as type of drawing, shape of object, x-sectional view, user interaction, dead end holes and hidden lines have also been compared amongst these approaches.
Designing nonverbal communication for pedagogical agents: When less is more
Authors: Amy L. Baylor, Soyoung Kim
Venue: Computers in Human Behavior (2009)

This experimental study employed a 2x2x2 factorial design to investigate the effects of type of instruction (procedural module, attitudinal module), deictic gesture (presence, absence), and facial expression (presence, absence) on student perception of pedagogical agent persona, attitude toward the content, and learning. The interaction effect between type of instruction and agent nonverbal behavior (deictic gestures and facial expression) was also investigated. A total of 236 college students learned from an animated pedagogical agent that varied by two factors: deictic gestures and facial expression within one of two instructional environments: one training them to perform tasks within a software program (procedural learning outcome); the other focusing on changing their beliefs regarding intellectual property (attitudinal learning outcome). Results indicated that the main effects of agent facial expression and gesture as well as the interaction were significant for agent perception and learning. With regard to learning, for attitudinal instruction, participants learned more when the agent's facial expression was present but deictic gesture was absent; however, for procedural instruction, students learned more when the agent's gestures were present. These results are discussed in light of a preliminary pedagogical agent design principle that suggests that it is most desirable to employ the one nonverbal communicative behavior that is most appropriate to the learning outcome.
Glass Patterns and Artistic Imaging
Authors: Giuseppe Papari, Nicolai Petkov
Venue: Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology (2009)

The theory of Glass patterns naturally combines three essential aspects of painterly artworks: perception, randomness, and geometric structure. Therefore, it seems a suitable framework for the development of mathematical models of the visual properties that distinguish paintings from photographic images. With this contribution, we introduce a simple mathematical operator which transfers the microstructure of a Glass pattern to an input image, and we show that its output is perceptually similar to a painting. An efficient implementation is presented. Unlike most of the existing techniques for unsupervised painterly rendering, the proposed approach does not introduce 'magic numbers' and has a nice and compact mathematical description, which makes it suitable for further theoretical analysis. Experimental results on a broad range of input images validate the effectiveness of the proposed method in terms of lack of undesired artifacts, which are present with other existing methods, and easy interpretability of the input parameters.
Predicting tie strength with social media
Authors: Eric Gilbert, Karrie Karahalios
Venue: Proceedings of the 27th international conference on Human factors in computing systems (2009)

Social media treats all users the same: trusted friend or total stranger, with little or nothing in between. In reality, relationships fall everywhere along this spectrum, a topic social science has investigated for decades under the theme of tie strength. Our work bridges this gap between theory and practice. In this paper, we present a predictive model that maps social media data to tie strength. The model builds on a dataset of over 2,000 social media ties and performs quite well, distinguishing between strong and weak ties with over 85% accuracy. We complement these quantitative findings with interviews that unpack the relationships we could not predict. The paper concludes by illustrating how modeling tie strength can improve social media design elements, including privacy controls, message routing, friend introductions and information prioritization.
CRBAC: Imposing multi-grained constraints on the RBAC model in the multi-application environment
Authors: Deqing Zou, Ligang He, Hai Jin, Xueguang Chen
Venue: Journal of Network and Computer Applications (2009)

Interactions between resources as well as services are one of the fundamental characteristics in the distributed multi-application environments. In such environments, attribute-based access control (ABAC) mechanisms are gaining in popularity while the role-based access control (RBAC) mechanism is widely accepted as a general mechanism for authorization management. This paper proposes a new access control model, CRBAC, which aims to combine the advantages of RBAC and ABAC, and integrates all kinds of constraints into the RBAC model. Unlike other work in this area, which only incorporates one or a few particular attribute constraints into RBAC, this paper analyses and abstracts the generic properties of the attribute constraints imposed on authorization systems. Based on these analyses and generalization, two constraints templates are presented, called authorization mapping constraint template and behaviour constraint template. The former template is able to automate the user-role and role-permission mapping, while the latter is used to restrict the behaviours of the authorization entities. The attribute constraints are classified into these two templates. Moreover, the state mechanism is introduced to build up the constraints among the statuses of the entities, and reflect the outcomes of the authorization control as well. Based on the presented templates and the state mechanism, the execution model is developed. A use case is proposed to show the authorization process of our proposed model. The extensive analyses are conducted to show its multi-grained constraints by comparing with other models.
A prototype system for interactive data analysis
Authors: Gerald Levitt, David H. Stewart, Beatrice Yormark
Venue: Proceedings of the May 6-10, 1974, national computer conference and exposition (1974)

The analysis of small and simple data collections is commonly accomplished through the application of "canned" statistical analysis programs. For larger more complex data collections, however, such programs often do not satisfy a researcher's needs. In these cases, the additional use of specially developed computer programs may be necessary. These programs frequently require modification and reformatting of data to meet their input requirements. These additional complexities are compounded when a researcher attempts to investigate alternative hypotheses or pursue hunches requiring further transformations or restructuring of the original data collection. Often, this process involves the services of a professional programmer making repeated program modifications and computer runs.
A Novel Automatic Parameters Optimization Approach Based on Differential Evolution for Support Vector Regression
Authors: Jiewei Li, Zhihua Cai
Venue: Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence (2008)

An appropriate parameters selection can significantly affect the accuracy of support vector regression (SVR) model. In this paper, a new evolutionary approach based on Differential Evolution (DE-SVR) is developed to train the SVR model. The approach evolves automatically the optimal model parameters by the differential mutation operations. Experimental results on several real-world datasets demonstrate that, comparing with the GA-based SVR and the Grid search methods, the DE-SVR can search the optimal parameters much more rapidly with less training time to build the SVR model, and has the comparable prediction accuracy as Grid search, even better than GA-based SVR. Therefore, the new evolutionary DE-SVM approach is an efficient method for automatic parameter determination of SVR problem.
Will 22nm be our catch 22!: design and cad challenges
Authors: Ruchir Puri
Venue: Proceedings of the 2009 international symposium on Physical design (2009)

With the impact of cost crunch in every industry including semi-conductor industry across the world, complexities of 22nm CMOS may appear to be way out in the distance future. However, more than the technology complexity, the new era of financial restraint will impose unprecedented productivity requirements on future design flows. This presents a significant opportunity as well as a complex challenge for the EDA industry. In addition, with semiconductor industry's march towards 32nm CMOS technology and introduction of new technologies such as 3D ICs in sight for 22nm nodes, it is crucial for the IC design and CAD community to understand the challenges posed by these potential technology changes. This talk will cover these challenges and outline the opportunities including those in physical design domain. The advanced device and interconnect structures and materials including 3D technology that could be introduced at 22nm node have significant impact on the direction of the CAD industry. We will also discuss the design methodology and CAD implications of these technology changes.
Affine systems of equations and counting infinitary logic
Authors: Albert Atserias, Andrei Bulatov, Anuj Dawar
Venue: Theoretical Computer Science (2009)

We study the definability of constraint satisfaction problems (CSPs) in various fixed-point and infinitary logics. We show that testing the solvability of systems of equations over a finite Abelian group, a tractable CSP that was previously known not to be definable in Datalog, is not definable in the infinitary logic with finitely many variables and counting. This implies that it is not definable in least fixed-point logic or its extension with counting. We relate definability of CSPs to their classification obtained from tame congruence theory of the varieties generated by the algebra of polymorphisms of the template structure. In particular, we show that if this variety admits either the unary or affine type, the corresponding CSP is not definable in the infinitary logic with counting.
Non-Functional Property Driven Service Governance: Performance Implications
Authors: Yan Liu, Liming Zhu, Len Bass, Ian Gorton, Mark Staples
Venue: Service-Oriented Computing - ICSOC 2007 Workshops: ICSOC 2007, International Workshops, Vienna, Austria, September 17, 2007, Revised Selected Papers (2009)

Service governance is a set of businesses processes, policies and technical solutions that support enterprises in their implementation and management of their SOA. The decisions of service governance, especially concerning service boundaries at the enterprise level, influence the deployment topology of business services across or within business organizations. Deployment topologies are realized by integration technologies such as Enterprise Service Bus (ESB). Service governance and technical solutions interact in a subtle way including through communication patterns and protocols between services and ESBs, as well as the deployment and configuration of ESB. These factors have a strong influence on the Non-Functional Properties (NFP) of a SOA solution. A systematic approach is essential to understand alternative technical solutions for a specific service governance decision. This paper proposes a modeling approach to evaluate the performance-related NFP impacts when mapping service governance to technical solutions using an ESB. This approach is illustrated by the quantitative performance analysis of a real world example, service governance from an Australian lending organization.
Unequal Error Protection for SPIHT-Coded Image Transmission Based on MIMO Adaptive Channel Assignment Policy
Authors: Yong Liu, Ai-dong Men, Zi-yi Quan, Bo Yang
Venue: Proceedings of the 2009 International Conference on Advanced Computer Control (2009)

In this paper, a joint source-channel coding (JSCC) scheme for unequal error protection (UEP) based SPIHT-Coded Image transmission over wireless channels is proposed. SPIHT-Coded Image information is divided into different substreams according to their different importance. Each substream is transmitted differentially over MIMO system based on MIMO Adaptive Channel Assignment Policy (ACAP) to achieve unequal error protection. ACAP is able to assign different important substreams to corresponding subchannels with different qualities of MIMO in terms of estimated subchannel state information based on a training preamble. Simulation results show that the scheme with ACAP can achieve UEP for image transmission. The quality of reconstructed image improves obviously compared to the scheme without ACAP.
Overview of the NASA/JPL Lasercom program
Authors: James R. Lesh
Venue: Space Communications (1998)

The NASA-funded optical communications program being conducted at JPL is described. The spacecraft transceiver terminal developments, a test infrastructure for assessing the performance of future space terminals, an atmospheric visibility monitoring program, some recent systems-level demonstrations, and a communications technology roadmap for planetary missions over the next 25 years are presented.
Designing Support Systems for Applications Outsourcing
Authors: Igor Hawryszkiewycz
Venue: Proceedings of the 2008 10th IEEE Conference on E-Commerce Technology and the Fifth IEEE Conference on Enterprise Computing, E-Commerce and E-Services (2008)

The paper describes ways to support outsourcing arrangements using collaborative technologies. It identifies outsourcing falling into the general class of socio-technical systems. It then suggests any supporting systems must emphasize both the social arrangements as well as any functionality needed to carry out the outsourcing goal. At the same time they should provide the dynamic capability to change the arrangements if needed. The paper defines a method for identifying such networks and using them to define role based interfaces to support people in outsourcing arrangements. The paper illustrates with an example of process outsourcing. It then concludes by identifying generic services that can improve the dynamic capabilities of outsourcing.
Particle Swarm Optimization with Dynamic Dimension Crossover for High Dimensional Problems
Authors: Chengyu Hu, Xuesong Yan, Chuanfeng Li
Venue: Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence (2008)

Previous work presented some modified approaches based particle swarm optimization (PSO) to solve complex optimization problems. Preliminary results demonstrated that PSO with crossover (CPSO) constituted a promising approach to solve some optimization problems. However how to optimize high dimensional problem with crossover became challenging. In this paper, a modified PSO with dimension crossover is proposed. First we analyze the cause of hardly optimizing the high dimensional problem, and then design one dynamic dimension crossover PSO (DDC-PSO) to cope with high dimensional problems. Theoretical analysis is also presented to show why the modified algorithm can be effective. Finally DDC-PSO is tested on five benchmark optimization problems and the results show a superior performance compared to the standard PSO and CPSO.
Parallel algorithm of MCQoS routing based on improved PSRS and binary search
Authors: Linfeng Yang, Jinbao Jian, Taoshen Li, Zhenrong Zhang
Venue: Proceedings of the 2008 International Conference on Advanced Infocomm Technology (2008)

The multifold QoS requirements of multimedia applications make QoS provisioning extremely challenging, largely due to the NP-hard Multi-Constrained QoS (MCQoS) computation problem. A Nonlinear 0-1 program formulation of QoS routing problem with delay, loss possibility and cost constraints has been given. Other additive and multiple parameters all can be treated following this formulation by adding corresponding constraints. A parallel MCQoS routing algorithm based on improved Parallel Sorting by Regular Sampling (PSRS) and binary search has been proposed to solve the formulation of this MCQoS model. Numerical tests show that this novel parallel algorithm has the speedup near to number of processors.
Simulation of sequential data: An enhanced reinforcement learning approach
Authors: Marlies Vanhulsel, Davy Janssens, Geert Wets, Koen Vanhoof
Venue: Expert Systems with Applications: An International Journal (2009)

The present study aims at contributing to the current state-of-the art of activity-based travel demand modelling by presenting a framework to simulate sequential data. To this end, the suitability of a reinforcement learning approach to reproduce sequential data is explored. Additionally, as traditional reinforcement learning techniques are not capable of learning efficiently in large state and action spaces with respect to memory and computational time requirements on the one hand, and of generalizing based on infrequent visits of all state-action pairs on the other hand, the reinforcement learning technique as used in most applications, is enhanced by means of regression tree function approximation. Three reinforcement learning algorithms are implemented to validate their applicability: the traditional Q-learning and Q-learning with bucket-brigade updating are tested against the improved reinforcement learning approach with a CART function approximator. These methods are applied on data of 26 diary days. The results are promising and show that the proposed techniques offer great opportunity of simulating sequential data. Moreover, the reinforcement learning approach improved by introducing a regression tree function approximator learns a more optimal solution much faster than the two traditional Q-learning approaches.
Clinical evaluations and collaborative design: developing new technologies for mental healthcare interventions
Authors: David Coyle, Gavin Doherty
Venue: Proceedings of the 27th international conference on Human factors in computing systems (2009)

Ethical requirements, severe constraints on access to end users and the necessity of real-world clinical evaluations represent significant challenges to designers of new technologies in mental healthcare (MHC) settings. This paper describes the collaborative approaches, incorporating HCI methods with input for MHC professionals and MHC theory, which were applied in the development of Personal Investigator (PI), a 3D computer game developed to support adolescent mental health interventions. Different stages in the evaluation of PI are discussed and the lessons learned through a multi-site clinical evaluation are presented. This evaluation has provided strong initial evidence that games such as PI offer the potential to improve adolescent engagement in talk-based interventions. It has also provided an insight into factors which should be considered in future designs in the MHC domain, e.g. the need to incorporate high levels of adaptability in future systems. Based on the difficulties encountered and lessons learned critical aims for future research are outlined.