ppxscal/embedding_network huggingface dataset:
Hemoglobin-binding protein HgbA in the outer membrane of Actinobacillus pleuropneumoniae: homology modelling reveals regions of potential interactions with hemoglobin and heme
Authors: Peter D. Pawelek, James W. Coulton
Venue: Journal of Molecular Graphics (2004)

Analyses of the primary sequence of hemoglobin-binding protein HgbA from Actinobacillus pleuropneumoniae by comparative modelling and by a Hidden Markov Model identified its topological similarities to bacterial outer membrane receptors BtuB, FepA, FhuA, and FecA of Escherichia coli. The HgbA model has a globular N-terminal cork domain contained within a 22-stranded β barrel domain, its folds being similar to the structures of outer membrane receptors that have been solved by X-ray crystallography. The barrel domain of the HgbA model superimposes onto the barrel domains of the four outer membrane receptors with rmsd values less than 1.0 Å. This feature is consistent with a phylogenetic tree which indicated clustering of polypeptide sequences for three barrel domains. Furthermore, the HgbA model shares the highest structural similarity to BtuB, with the modelled HgbA barrel having approximately the same elliptical cross-section and height as that of BtuB. Extracellular loop regions of HgbA are predicted to be more extended than those of the E. coli outer membrane receptors, potentially facilitating a protein-protein interface with hemoglobin. Fold recognition modelling of the HgbA loop regions showed that 10 out of 11 predicted loops are highly homologous to known structures of protein loops that contribute to heme/iron or protein-protein interactions. Strikingly, HgbA loop 2 has structural homology to a loop in bovine endothelial nitric acid oxidase that is proximal to a heine-binding site; and HgbA loop 7 contains a histidine residue conserved in a motif that is involved in heme/hemoglobin interactions. These findings implicate HgbA loops 2 and 7 in recognition and binding of hemoglobin or the heme ligand.
Detecting Profile Injection Attacks in Collaborative Recommender Systems
Authors: Robin Burke, Bamshad Mobasher, Chad Williams, Runa Bhaumik
Venue: Proceedings of the The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (2006)

Collaborative recommender systems are known to be highly vulnerable to profile injection attacks, attacks that involve the insertion of biased profiles into the ratings database for the purpose of altering the system's recommendation behavior. In prior work, we and others have identified a number of models for such attacks and shown their effectiveness. This paper describes a classification approach to the problem of detecting and responding to profile injection attacks. This technique significantly reduces the effectiveness of the most powerful attack models previously studied.
Stream option manager
Authors: William P. Niedringhaus, Michael J. White, Patrick L. Jones
Venue: Proceedings of the 36th conference on Winter simulation (2004)

Stream Option Manager (SOM) is a set of mathematical tools developed at The MITRE Corporation's Center for Advanced Aviation System Development (CAASD). While still under development, it holds the potential to provide modelers an automated capability for separation, sequencing, spacing and proper exit strategy of aircraft in en route airspace. SOM addresses all of these services in a single, integrated linear programming solution. SOM computes modified flight paths meeting all constraints while minimally deviating from preferred trajectories. A prototype implementation of SOM is being evaluated in several applications. These include (a) an automated generator of sector complexity metrics e.g., by measuring the number and magnitude of separation actions needed to resolve a given traffic situation, (b) a means of performing system-wide analyses of revised conflict resolution requirements, e.g., revised separation standards, and (c) an automated controller-surrogate for simulation studies. The SOM metrics will be described, and example applications will be presented.
How am I? Guidelines for Animated Interface Agents Evaluation
Authors: Marcia Cristina Moraes, Milene Selbach Silveira
Venue: Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology (2006)

The area of animated interface agents is related to the development of applications that aim to improve human-computer interaction process using software agents represented by characters or human figures. Although several projects are being developed in this area, there isn't a method to describe criteria that ought to be considered to evaluate animated interface agents. This paper proposes basic guidelines for animated agents evaluation based on concepts provided by Artificial Intelligence (AI) and Human-Computer Interaction (HCI). We believe that the proposed guidelines could help both AI (to project and to develop agents that can enhance human-agent usability) and HCI researchers (to evaluate animated interface agents).
Interactive video coding and transmission over wired-to-wireless IP networks using an edge proxy
Authors: Yong Pei, J. W. Modestino
Venue: Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1 (2003)

In this paper, we address the problem of enabling robust interactive video coding and transmission over heterogeneous wired-to-wireless IP networks. We propose the use of an FEC coding scheme employing Reed-Solomon (RS) codes and rate-compatible punctured convolutional (RCPC) codes to protect the video data from packet loss and bit errors, respectively. Furthermore, we apply an end-to-end architecture using an edge proxy in a mobile support station to implement differential error protection for the corresponding channel impairments expected on the two networks. Results indicate that with an appropriate joint source-channel coding approach and the use of an edge proxy, FEC-based error-control techniques together with passive error-recovery techniques can significantly improve the effective video throughput and lead to acceptable video delivery quality over time-varying heterogeneous wired-to-wireless IP networks.
Context-Aware Gateway for Ubiquitous SIP-Based Services in Smart Homes
Authors: Bo-Chao Cheng, Huan Chen, Ryh-Yuh Tseng
Venue: Proceedings of the 2006 International Conference on Hybrid Information Technology - Volume 02 (2006)

The smart home concept brings innovation and convenience to our every day's life style at home. Without context awareness, smart home applications cannot offer services that can adapt to users' dynamic situations; they also fail to give preferential treatment for users' various preferences. Such design paradigm forces human to live in the world of machines rather than a human oriented world. The use of SIP-protocol allows Smart Home devices and services to be connected compatibly and effectively. In this paper, we propose an adaptive SIP Context-Aware Gateway (SCAG) for the ubiquitous SIP-based services. With the SCAG solution, the home owner is able to use preferred devices for communication and to post his/her context information to home appliances or to people and civil society communities on an "as needed basis.
Adaptive blind equalization using weighted cumulant slices
Authors: J. Vidal, J. A. R. Fonollosa
Venue: Proceedings of the Acoustics, Speech, and Signal Processing,1994. on IEEE International Conference - Volume 04 (1994)

Many linear methods have been proposed in the literature to blindly estimate the ARMA parameters of a time series using HOS. Nevertheless, they are mainly off-line and not much has been done in the adaptive case. The method proposed in this contribution is the adaptive version of the w-slice method. The recursion is based on the inversion lemma when attempting the solution of an undetermined matrix equation. The system impulse response can be recovered regardless of the ARMA or MA character of the system. The number of operations depends on the square of the system order and it is considerably reduced with respect to previous approaches. Application to channel deconvolution is shown.
Neural-network approach for optical tomography
Authors: Jiajun Wang, Jing Meng, Xianwu Huang, Dagan Feng
Venue: Signal Processing (2006)

The problem of optical tomography reconstruction is an ill-posed problem and the errors in the measurement data will be amplified in the reconstructed results. In order to fix the problem of ill-posedness, some a priori information should be incorporated in the process of reconstruction. In this paper, a Gibbs distribution with binary line process is introduced as the a prior image model, which can result in a global smoothness with sharp edges. Under this model the reconstruction can be realized in the Bayesian framework by maximizing the a posteriori probability. In order to solve the above mixed binary and continuous optimization problem, a coupled gradient neural network is proposed, in which the optimization can be realized following the evolution of the neural network by a proper definition of the energy function of it. To define the dynamics of the network, an algorithm based on the gradient tree is proposed for the gradient computation of the energy function with respect to optical parameters. Experimental results show that the proposed algorithm can be realized effectively with the proposed neural network and the quality of the reconstructed results can be significantly improved by the introduction of the prior mixed continuous and binary image model.
Constrained Shape Control of Bicubic B-Spline Surfaces by Knots
Authors: Miklos Hoffmann, Imre Juhasz
Venue: Proceedings of the conference on Geometric Modeling and Imaging: New Trends (2006)

Constrained modification of B-spline surfaces is essential in geometric design. Modification tools by purely knot alteration are presented in this paper: moving an isoparametric line to a specified location and dragging a point of the surface to a predefined point. Both methods yield smoother change than the well-known control point repositioning, while in the first case symmetric bodies can be deformed in a constrained way by automatically preserving their symmetry. Since the modified surface remains in the original convex hull, these techniques can be useful tools in the fine tuning phase, when users do not want to change the overall shape of the body.
An improved algorithm for CIOQ switches
Authors: Yossi Azar, Yossi Richter
Venue: ACM Transactions on Algorithms (TALG) (2006)

The problem of maximizing the weighted throughput in various switching settings has been intensively studied recently through competitive analysis. To date, the most general model that has been investigated is the standard CIOQ (Combined Input and Output Queued) switch architecture with internal fabric speedup S &ge; 1. CIOQ switches, that comprise the backbone of packet routing networks, are N &times; N switches controlled by a switching policy that incorporates two components: Admission control and scheduling. An admission control strategy is essential to determine the packets stored in the FIFO queues in input and output ports, while the scheduling policy conducts the transfer of packets through the internal fabric, from input ports to output ports. The online problem of maximizing the total weighted throughput of CIOQ switches was recently investigated by Kesselman and Ros&eacute;n [2003]. They presented two different online algorithms for the general problem that achieve non-constant competitive ratios (linear in either the speedup or the number of distinct values, or logarithmic in the value range). We introduce the first constant-competitive algorithm for the general case of the problem, with arbitrary speedup and packet values. Specifically, our algorithm is 8-competitive, and is also simple and easy to implement.
Empathic Multiple Tutoring Agents for Multiple Learner Interface
Authors: Hua Wang, Jie Yang, Mark Chignell, Mitsuru Ishizuka
Venue: Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology (2006)

This paper describes a multiple user e-learning interface with multiple tutoring character agents. The character agents use eye movement information to facilitate empathy-relevant reasoning and behavior. Eye Information is used to monitor user's attention and interests, to personalize the agent behaviors, and for exchanging information of different learners. The system reacts to multiple users' eye information in real-time and the empathic character agents owned by each learner exchange learner's information to help to form the online learning community. Based on these measures, the interface infers the focus of attention of the learner and responds accordingly with affective and instructional behaviors. The paper will also report on some preliminary usability test results concerning how users respond to the empathic functions and interact with other learners using the character agents.
Time-frequency representations with multiform, tiltable Chebyshev kernels
Authors: A. H. Costa, G. F. Boudreaux-Bartels
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1995. on International Conference - Volume 02 (1995)

We formulate and provide design equations for novel time-frequency representations (TFRs) with multiform, tiltable (MT) Chebyshev kernels whose passband support regions are capable of attaining a wide diversity of iso-contour shapes in the ambiguity function (AF) plane, e.g., parallel strips, crosses, tilted and untilted ellipses, diamonds, hyperbolas, rectangles, etc. Simple constraints on the parameters of the new kernels can be used to guarantee many desirable properties of TFRs.
A strategy for improving performance of Q-learning with prediction information
Authors: Choonghyeon Lee, Kyungeun Cho, Kyhyun Um
Venue: Proceedings of the 2006 International Conference on Hybrid Information Technology - Volume 02 (2006)

Nowadays, learning of agents gets more and more useful in game environments. It takes a long learning time, however, to produce satisfactory results in games. Thus, we need a good method of shortening the learning time. In this paper, we present a strategy for improving learning performance in Q-learning with predictive information. This refers to the chosen action at each status in the Q-learning algorithm. It stores the referred value in the P-table of the prediction module, and then searches some high-frequency values in the table. The values are used to renew the second-compensation value from the Q-table. Our experiments show that our approach yields an efficiency improvement of 9% on the average after the middle point of the learning experiments, and that the more actions are executed in a status space, the higher the performance would be.
A new solution method for fuzzy chance constrained programming problem
Authors: S. Nanda, G. Panda, J. K. Dash
Venue: Fuzzy Optimization and Decision Making (2006)

This paper deals with an optimization model, where both fuzziness and randomness occur under one roof. The concept of fuzzy random variable (FRV), mean and variance of FRV is used in the model. In particular, the methodology is developed in the presence of FRV in the constraint. The methodology is verified through numerical examples.
Dynamic performance of surge arrester under very fast transient overvoltages
Authors: P. Valsalal, S. Usa, K. Udayakumar
Venue: International Journal of Modelling and Simulation (2006)

This paper studies the performance of Metal Oxide Surge Arrester (MOSA) for Gas Insulated Substation (GIS) applications. Few models proposed in the literature are used to describe the dynamic characteristic of the arrester and compared with experimental data to verify their accuracy. As percentage error is lesser in the case of a simplified IEEE model, for further analysis this model is chosen. MOSA of high-voltage rating have high stray capacitance, which cannot be neglected. The stray capacitance and zinc oxide block capacitance of the MOSA are calculated using Finite Element Method (FEM). In this study a 198kV arrester is considered. By incorporating the effect of stray capacitance, we propose a new model. This model is analyzed for surges of different front times ranging from microseconds to nanoseconds. It is found that there is a delay to attain the initial peak value of residual voltage of the arrester due to the stray capacitance effect. The delay in the initial response time of the arrester may be one of the reasons for the failure of the arrester response in GIS when subjected to Very Fast Transient Overvoltage (VFTO). The use of guard rings allows delay due to the effect of stray capacitance to be minimized.
Security and Privacy Challenges in Open and Dynamic Environments
Authors: Lalana Kagal, Tim Finin, Anupam Joshi, Sol Greenspan
Venue: Computer (2006)

Achieving secure open and dynamic environments requires shared vocabularies, behavioral norms, and trust models.
Using Model-Driven Engineering to generate QoS Monitors from a formal specification
Authors: Sebastien Saudrais, Olivier Barais, Laurence Duchien
Venue: Proceedings of the 10th IEEE on International Enterprise Distributed Object Computing Conference Workshops (2006)

In the domain of soft real-time application design, the gap between component-specification models and the implementations often implies that the implementations cannot fully take advantage of the specification models. To limit this gap, this paper proposes an approach to generate a QoS monitor from the timed behavior specification. To support this approach, we rely on two different component models: one focused on formal description and the other on practical implementation. Those models are interconnected by model transformation, using a Model-Driven Engineering style.
Performance Increase of Industrial Robot Plants through Agent-Based Technologies
Authors: Ulrich Berger, Guergana Vladimirova, Ralf Kretzschmann
Venue: Proceedings of the International Symposium on Collaborative Technologies and Systems (2006)

Nowadays enterprises are suspended on a high competition pressure. To resist on it there have been established high requirements concerning the production process. Some of these requirements as for example reliability, stability and productivity are given in order to achieve an optimization within an industrial process. To reach such an optimization within a production processes, high expectations in the agent based technologies have been supposed. On the one hand the application areas of agent-based technologies become more and more expanded. On the other hand is the tendency to form the man-machine interface more user friendly. This could be reached with the aid of intelligent tolls that allow an intuitive and simply designed interaction not only between human and machine but also between the machines and the machine and its control system. Such an intelligent toll could be represented by the variety of open possibilities in the area of the agent technology.
An integrated estimation and modeling environment for the design of the orbital space plane
Authors: Dayana Cope, Mansooreh Mollaghasemi, Assem Kaylani, Martin J. Steele, Alex J. Ruiz-Torres, Marcella L. Cowen
Venue: Proceedings of the 36th conference on Winter simulation (2004)

The development of simulation models can be time consuming and highly dependant on system data being widely available. When using simulation modeling to analyze future systems, system data may not be available for the system under study and simulation results are often needed within a short time frame to support early system design efforts. This paper presents a parametric estimation/generic simulation integrated environment developed to facilitate the rapid development of valid simulation models for the Orbital Space Vehicle ground processing operations.
Meaningful labeling of integrated query interfaces
Authors: Eduard C. Dragut, Clement Yu, Weiyi Meng
Venue: Proceedings of the 32nd international conference on Very large data bases (2006)

The contents of Web databases are accessed through queries formulated on complex user interfaces. In many domains of interest (e.g. Auto) users are interested in obtaining information from alternative sources. Thus, they have to access many individual Web databases via query interfaces. We aim to construct automatically a well-designed query interface that integrates a set of interfaces in the same domain. This will permit users to access information uniformly from multiple sources. Earlier research in this area includes matching attributes across multiple query interfaces in the same domain and grouping related attributes. In this paper, we investigate the naming of the attributes in the integrated query interface. We provide a set of properties which are required in order to have consistent labels for the attributes within an integrated interface so that users have no difficulty in understanding it. Based on these properties, we design algorithms to systematically label the attributes. Experimental results on seven domains validate our theoretical study. In the process of naming attributes, a set of logical inference rules among the textual labels is discovered. These inferences are also likely to be applicable to other integration problems sensitive to naming: e.g., HTML forms, HTML tables or concept hierarchies in the semantic Web.
Design and Implementation of a Parallel Heterogeneous Algorithm for Hyperspectral Image Analysis Using HeteroMPI
Authors: David Valencia, Alexey Lastovetsky, Antonio Plaza
Venue: Proceedings of the Proceedings of The Fifth International Symposium on Parallel and Distributed Computing (2006)

The development of efficient techniques for transforming the massive volume of remotely sensed hyperspectral data collected on a daily basis into scientific understanding is critical for space-based Earth science and planetary exploration. Although most available parallel processing strategies for hyperspectral image analysis assume homogeneity in the computing platform, heterogeneous networks of computers represent a promising cost-effective solution expected to play a major role in many on-going and planned remote sensing missions. To address the need for cost-effective parallel hyperspectral imaging algorithms, this paper develops an innovative heterogeneous parallel algorithm for spatial/spectral morphological analysis of hyperspectral image data. The algorithm has been developed using Heterogeneous MPI (HeteroMPI), an extension of MPI for programming high-performance computations on heterogeneous networks of computers. Experimental results are presented and discussed in the context of a realistic application, based on hyperspectral data collected by NASA's Jet Propulsion Laboratory.
Patterns for essential use case bodies
Authors: Robert Biddle, James Noble, Ewan Tempero
Venue: Proceedings of the 2002 conference on Pattern languages of programs - Volume 13 (2003)

Essential use cases are an effective way to analyse the usability requirements for a system under development. Essential use cases are quite stylised -- writing good essential use cases is somewhat of a secret art. This paper contains patterns that describe how to write the bodies of essential use cases. Readers of this paper will be able to write good essential use cases quickly, making it easier to specify usable systems.