ppxscal/embedding_network huggingface dataset:
Motif Discovery as a Multiple-Instance Problem
Authors: Ya Zhang, Yixin Chen, Xiang Ji
Venue: Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (2006)

Motif discovery from biosequences, a challenging task both experimentally and computationally, has been a topic of immense study in recent years. In this paper, we formulate the motif discovery problem as a multiple-instance problem and employ a multiple-instance learning method, the MILES method, to identify motif from biological sequences. Each sequence is mapped into a feature space defined by instances in training sequences with a novel instance-bag similarity measure. We employ 1-norm SVM to select important features and construct classifiers simultaneously. These high-ranked features correspond to discovered motifs. We apply this method to discover transcriptional factor binding sites in promoters, a typical motif finding problem in biology, and show that the method is at least comparable to existing methods.
Modulation of the Auditory Cortex during Speech: An MEG Study
Authors: John F. Houde, Srikantan S. Nagarajan, Kensuke Sekihara, Michael M. Merzenich
Venue: Journal of Cognitive Neuroscience (2002)

Several behavioral and brain imaging studies have demonstrated a significant interaction between speech perception and speech production. In this study, auditory cortical responses to speech were examined during self-production and feedback alteration. Magnetic field recordings were obtained from both hemispheres in subjects who spoke while hearing controlled acoustic versions of their speech feedback via earphones. These responses were compared to recordings made while subjects listened to a tape playback of their production. The amplitude of tape playback was adjusted to match the amplitude of self-produced speech. Recordings of evoked responses to both self-produced and tape-recorded speech were obtained free of movement-related artifacts. Responses to self-produced speech were weaker than were responses to tape-recorded speech. Responses to tones were also weaker during speech production, when compared with responses to tones recorded in the presence of speech from tape playback. However, responses evoked by gated noise stimuli did not differ for recordings made during self-produced speech versus recordings made during tape-recorded speech playback. These data suggest that during speech production, the auditory cortex (1) attenuates its sensitivity and (2) modulates its activity as a function of the expected acoustic feedback.
Trust and Electronic Commerce - A Test of an E-Bookstore
Authors: Jeff C. Fan
Venue: Proceedings of the IEEE International Conference on e-Business Engineering (2006)

This study focuses on the electronic business-to-consumer (B2C) market application in electronic bookstore (e-bookstore). It tests a proposed theoretical revision of DeLone and McLean's model of information system (IS) success that explains how personnel beliefs contribute to a user's utilization of electronic commerce (EC). The proposed revised model is tested using the structural equation model (SEM) and a survey of 325 members of e-bookstore in Taiwan was carried out. The theoretical model proposed in this study elucidates the concept of trust perception as incorporated into the DeLone and McLean model, and plays a critical mediating role to influence the intention toward EC applications. The implications of these findings for both researchers and practitioners are discussed.
A novel algorithm SF for mining attack scenarios model
Authors: Wang Li, Li Zhi-tang, Lei Jie, Li Yao
Venue: Proceedings of the IEEE International Conference on e-Business Engineering (2006)

Large volume of security data can overwhelm security managers and keep them from performing effective analysis and initiating timely response. Therefore, it is important to develop an advanced alert correlation system to reduce alert redundancy, intelligently correlate security alerts and detect attack strategies. In our system, we introduced Statistical Filtering method in attack plan recognition. We apply statistical-based techniques to filter out separated and scattered attack behavior and mining frequent attack sequence patterns from the remainder. We use correlativity between two elements in frequent attack sequences to correlate the attack behavior and identify potential attack intentions based on it. We evaluate our approaches using DARPA 2000 data sets. The experiment shows that our approach can effectively discover attack scenarios in reality, provide a quantitative analysis of attack scenarios.
Applying Data Mining to Pseudo-Relevance Feedback for High Performance Text Retrieval
Authors: Xiangji Huang, Yan Rui Huang, Miao Wen, Aijun An, Yang Liu, Josiah Poon
Venue: Proceedings of the Sixth International Conference on Data Mining (2006)

In this paper, we investigate the use of data mining, in particular the text classification and co-training techniques, to identify more relevant passages based on a small set of labeled passages obtained from the blind feedback of a retrieval system. The data mining results are used to expand query terms and to re-estimate some of the parameters used in a probabilistic weighting function. We evaluate the data mining based feedback method on the TREC HARD data set. The results show that data mining can be successfully applied to improve the text retrieval performance. We report our experimental findings in detail.
A Novel VLSI Architecture for Image Compression
Authors: P. John Paul, P. N. Girija
Venue: Proceedings of the Eighth IEEE International Symposium on Multimedia (2006)

In Analog signal processing of multimedia applications, audio need not be compressed but video must be compressed in order to conserve the bandwidth. For this purpose Fast Cosine Transform (FCT) is preferred, which is developed using Fast Fourier Transform (FFT). But it has several limitations of Delays, Area and Power. In this paper the similarities among Fast Fourier Transform (FFT), Fast Cosine Transform (FCT) and Fast Hartley Transform (FHT) have been studied. The Converged Very Large Scale Integration (VLSI) architecture for these Hybrid Transforms for video compression are designed, simulated and synthesized. Implementing FCT, FFT, and FST from Fast Hartley Transform is developed and Hybrid Transforms architecture is proposed. Further more, delays and area overheads have been calculated. For all these transforms the layouts have been drawn using Magma Tools with 0.13ìm technology. Compression ratio for image with each transform and Hybrid transform is also implemented
Inter- and Intra-hemispheric Processing of Visual Event-related Potentials in the Absence of the Corpus Callosum
Authors: Sophie Bayard, Nadia Gosselin, Manon Robert, Maryse Lassonde
Venue: Journal of Cognitive Neuroscience (2004)

Interhemispheric differences of the N100 latency in visual evoked potentials have been used to estimate interhemispheric transfer time (e.g., Saron & Davidson, 1989). Recent work has also suggested that the P300 component could reflect the efficacy of interhemispheric transmission (Polich & Hoffman, 1998). The purpose of the present study was to study the differential role of the corpus callosum (CC) and anterior commissure (AC) in the interhemispheric propagation of these two electrophysiological components. Thus, the amplitude and latency distribution of the N100 and P300 components were analyzed using high-density electrical mapping in a subject with agenesis of CC but preservation of AC, a subject with agenesis of both CC and AC, and 10 neurologically intact control subjects. The task consisted of a modified visual oddball paradigm comprising one frequent and two rare stimuli, one presented on the same and the other on the opposite side of the frequent stimulus. Interhemispheric differences in latency were found for the N100 component in controls. However, in the acallosal subjects, this component was not identifiable in the indirectly stimulated hemisphere. In controls, no interhemispheric differences were observed in the distribution of the P300 latency and amplitude to rare and frequent stimuli. The distribution of the P300 amplitude in the acallosal subject with an AC was identical to that of the controls, whereas in the acallosal subject lacking the AC, the amplitude was greater in the hemisphere receiving the frequent stimuli, regardless of the visual hemifield in which the rare stimuli were presented. In both acallosal subjects, hemispheric differences in the P300 latency were observed, the latencies being shorter in the hemisphere directly stimulated for all categories of stimuli. These results suggest that the interhemispheric transfer of both the N100 and P300 components relies on the integrity of cortical commissures. Possible P300 generator sources are discussed.
Automatic Visualization of Abstract System Specifications
Authors: Axel Schneider, Stephan Walter, Jan Langer, Ulrich Heinkel
Venue: Proceedings of the Sixth International Conference on Quality Software (2006)

Complexity of hardware/software systems is continuously increasing. Formal specification is a methodology to ensure better quality of system specifications and to allow automated verification with tools like model checkers. Many formal specification approaches are known -- ranging from programming languages to graphical specification tools. Each approach has its specific benefits. Usually, for abstract system and software specifications either table based or graphical notations are used. This paper presents a concept that leverages the advantages of both approaches by combining them in a single front-end. Both the table based and the graphical representation may be used for editing the specification. An automatic synchronization mechanism ensures that both representations are kept consistent. The implementation of the concept uses the table based formal language ADeVA and the Graphviz graph layout programs.
Clustering Fetal Heart Rate Tracings by Compression
Authors: C. Costa Santos, J. Bernardes, P. M. B. Vitanyi, L. Antunes
Venue: Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems (2006)

Fetal heart rate (FHR) monitoring is widely used regarding the detection of fetuses in danger of death or damage. Thirty one FHR tracings acquired in the antepartum period were clustered by compression in order to identify abnormal ones. A recently introduced approach based on algorithmic information theory was used. The new method can mine patterns in completely different areas, without domain-specific parameters to set, and does not require specific background knowledge. At the highest level the FHR tracings were clustered according to an unanticipated feature, namely the technology used in signal acquisition. At the lower levels all tracings with abnormal or suspicious patterns were clustered together, independently of the technology used.
Introduction to modeling and simulation
Authors: John S. Carson,  II
Venue: Proceedings of the 37th conference on Winter simulation (2005)

Simulation is a powerful tool for the evaluation and analysis of new system designs, modifications to existing systems and proposed changes to control systems and operating rules. Conducting a valid simulation is both an art and a science. This paper provides an introduction to discrete-event simulation and the main concepts - system state, events, processes - underlying simulation. It discusses the major world views used by simulation software. It includes a brief discussion of a number of other important issues: the advantages and disadvantages of using a simulation model, the skills required to develop a simulation model, the key steps in conducting a simulation study, as well as some project management guidelines and pitfalls to avoid.
Developing a Learning Notification Express Delivery Service for Students Based on Petri-Net
Authors: Tzu-Husan Wu, Rita Kuo, Maiga Chang, Jia-Sheng Heh
Venue: Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies (2006)

This paper designs a learning notification express delivery service for providing students information about their learning status, their next learning activities, and even reminder notes. The learning notification express delivery service uses Petri-net for modeling learning activities. In order to make students knowing what status they are and what activities they need to do during the learning process, a learning planner is also developed to make teachers feel more comfortable in planning their teaching schedule.
Learning Nonlinear Image Manifolds by Global Alignment of Local Linear Models
Authors: Jakob Verbeek
Venue: IEEE Transactions on Pattern Analysis and Machine Intelligence (2006)

Appearance-based methods, based on statistical models of the pixel values in an image (region) rather than geometrical object models, are increasingly popular in computer vision. In many applications, the number of degrees of freedom (DOF) in the image generating process is much lower than the number of pixels in the image. If there is a smooth function that maps the DOF to the pixel values, then the images are confined to a low-dimensional manifold embedded in the image space. We propose a method based on probabilistic mixtures of factor analyzers to 1) model the density of images sampled from such manifolds and 2) recover global parameterizations of the manifold. A globally nonlinear probabilistic two-way mapping between coordinates on the manifold and images is obtained by combining several, locally valid, linear mappings. We propose a parameter estimation scheme that improves upon an existing scheme and experimentally compare the presented approach to self-organizing maps, generative topographic mapping, and mixtures of factor analyzers. In addition, we show that the approach also applies to finding mappings between different embeddings of the same manifold.
Identify Discontinuous Parameter of Parabolic System via Point-Tree Structured Genetic Programming
Authors: Weiwu Wang, Yuanxiang Li, Shengwu Xiong, Bojin Zheng
Venue: Proceedings of the Second International Conference on Semantics, Knowledge, and Grid (2006)

In this paper, we apply point-tree structured genetic programming (PTGP) to identify a discontinuous parameter of parabolic system. The discontinuous parameter can be decomposed into several subcomponents. Each subcomponent can be represented as a simple function. We call these simple functions as sub-functions. We use the PTGP individual to represent the discontinuous parameter, and evolve these individuals to learn it. During the evolution, the subfunctions and their domains co-evolve and co-adapt automatically. The numerical experiments show PTGP can identify the discontinuous parameter successfully. Compare to the stand genetic programming approach, the performance is improved signigicantly.
Buffer Management for Lossless Service in Network Processors
Authors: Deng Pan, Yuanyuan Yang
Venue: Proceedings of the 14th IEEE Symposium on High-Performance Interconnects (2006)

Fair scheduling and buffer management are two typical approaches to providing differentiated service. Fair scheduling algorithms usually need to keep a separate queue and maintain associated state variables for each incoming flow, which make them difficult to operate and scale in high speed networks. On the contrary, buffer management and FIFO scheduling need only a constant amount of state information and processing, and can be efficiently implemented. In this paper, we consider using buffer management to provide lossless service for guaranteed performance flows in network processors. We investigate the buffer size requirement and buffer allocation strategies by starting with the single output network processor and then extending the analytical results to the general multiple output network processor. A universally applicable buffer allocation method for assuring lossless service is obtained, and the correctness of the theoretical results is verified through simulations.
Ge-channel p-MOSFETs with ZrO2 gate dielectrics
Authors: S. K. Mandal, S. Chakraborty, C. K. Maiti
Venue: Microelectronic Engineering (2005)

Germanium MOS capacitors with a thin high-k (ZrO"2) dielectric (EOT 2.2nm) were fabricated on epitaxial strained-Ge grown on relaxed-SiGe substrates. Strained-Ge material parameters were extracted from the current-voltage (I-V) and capacitance-voltage (C-V) characteristics of MOS capacitors and were used in the simulation of strained-Ge channel p-MOSFETs with high-k gate dielectric. The simulated devices exhibited a sub-100mV/decade subthreshold voltage swing and a low gate leakage.
A jabber-based multi-agent system platform
Authors: Miguel Escrivá Gregori, Javier Palanca Cámara, Gustavo Aranda Bada
Venue: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems (2006)

This paper presents a new multi-agent system platform that takes advantage of XMPP. Among the new message transport protocols that have been recently developed, Jabber (XMPP) is a protocol that is based on Instant Messaging networks that use real-time messaging between applications. This platform is fully FIPA compliant and provides a simple interface to create agents using this new communication concept.
Implantation of gasoline stream simulation model in PETROBRAS refinery: problems, possibilities and results
Authors: Guilherme Aquino Barbosa, Marcelo Oliveira Souza, Ana Chan, Guilherme Julio Barbosa, Eliahu Rosenbaum, Claudio Duarte Limoeiro, Mario Jorge Lima, Claudio Rodrigo Beal
Venue: Proceedings of the 37th conference on Winter simulation (2005)

The use of simulation models within PETROBRAS is becoming an important tool for supporting strategic decision. Company's refineries have great potential for financial gains that may be achieved through product stock reduction, certification time improvement, and other measures. This article deals specifically with the application of a simulation model for assessing a PETROBRAS refinery storage facility to evaluate modernization investments, load increase, and feasibility of new undertakings, taking into account parameters such as service level, tanks occupation, and logistics costs, among others, and considering different scenarios. Along this study, consequential gains were achieved, such as: process improvement, standardization of procedures, and eradication of bottlenecks.
Invariant Analysis for the Task Refinement of Workflow Nets
Authors: Jidong Ge, Hao Hu, Jian Lu
Venue: Proceedings of the International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (2006)

Composition is an important approach to model larger and more complex workflow system. Task refinement is one kind of workflow composition approaches. Soundness is the important property as correctness criterion for workflow process model. In some times, the state space methods based on the reachability graph of Petri net is an available analysis technique. When the composite system becomes larger, the state space of the composite workflow net system becomes too large to analyze it. To avoid the state space explosion problem, invariant analysis can be a complement analysis technique. Based on the invariant analysis, we propose a sufficient condition for 1- soundness of task refinement of workflow nets.
Gradual Cube: Customize Profile on Mobile OLAP
Authors: Jun Li, Haofeng Zhou, Wei Wang
Venue: Proceedings of the Sixth International Conference on Data Mining (2006)

OLAP is supported by more and more environment as a powerful analysis tool. With the rapid development of mobile and wireless technologies, users wish to enjoy the OLAP service on these devices. However, there are many issues on mobile OLAP against the traditional ones, e.g. the transmission bottleneck, unstable network connection, etc. Moreover, the mobile device owners have raised increasing requirements to customize the service such as transmitting the data on demand or ASAP to support their activities. All these challenges provide new chances for OLAP. In this paper, a new mechanism Gradual Cube is proposed to face such challenges. It can reduce the transmission data size, provide customized transmission strategy and enable users to conduct off-line browsing. We assume the users' precision requirement follows some distribution so that three methods, namely random, optimal and heuristic, are developed to customize the transmission plan. The experiments show that such methods are both effective and efficient.
Norm-oriented programming of electronic institutions
Authors: A. García-Camino, J.-A. Rodríguez-Aguilar, C. Sierra, W. Vasconcelos
Venue: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems (2006)

Norms constitute a powerful coordination mechanism among heterogeneous agents. We propose means to specify and explicitly manage the normative positions of agents (permissions, prohibitions and obligations), with which distinct deontic notions and their relationships can be captured. Our rule-based formalism includes constraints for more expressiveness and precision and allows the norm-oriented programming of electronic institutions: normative aspects are given a precise computational interpretation. Our formalism has been conceived as a machine language to which other higher-level normative languages can be mapped, allowing their execution.
Locality Aware Networked Join Evaluation
Authors: Yanif Ahmad, Ugur Cetintemel, John Jannotti, Alexander Zgolinski
Venue: Proceedings of the 21st International Conference on Data Engineering Workshops (2005)

We pose the question: how do we efficiently evaluate a join operator, distributed over a heterogeneous network? Our objective here is to optimize the delay of output tuples. We discuss key challenges involved in the distribution, namely how to partition the join operator, how to place the resulting partitions on the network, and how to route inputs values from sources to our operators. Our model revolves on one simple concept - exploiting locality. We consider data locality in the distributions of input data values, and network locality in the distribution of network distances between sites. We sketch strategies to partition the input data space, and instantiate a structured topology, consisting of operator replicas to whom to route tuples for processing. Finally, we briefly discuss implementation issues that require addressing to enable the networked join proposed here.
Using an Interpolation Algorithm for VCR like Functions in Multimedia Communications
Authors: Hsien-Ming Tsai, Tzu-Chiang Chiang, Yueh-Min Huang
Venue: Proceedings of the 26th IEEE International ConferenceWorkshops on Distributed Computing Systems (2006)

The main problem of true Video-On-Demand System is the scalability for the concurrent access clients is restricted to the bandwidth of the system. In order to solve the insufficient of bandwidth and improve video quality, many researches proposed a variety of methods to provide all kinds of approaches to reduce admission time and more complete VCR functions in a near Video-On-Demand system. To achieve the goals, more buffer space is required in clients to save more data streams to perform VCR functions. Hence it will cost more and overhead for the systems. In this paper, we proposed a segment broadcast scheme which dividing the film into a lot of chunks, and utilizing multi-channel to broadcast the data streams simultaneously. Each client can receive the data stream from multi-channel to offer complete VCR functions in multimedia communications. The result of the simulation and compare with some scheme which had proposed shows our scheme under the circumstances that bandwidth can distribute to more channels, can also reduce the admission latency time effectively. The segments broadcasting scheme and receiving interpolation algorithm in this paper can really not sacrifice VCR functions and play smoothly under the least resources requirement.