ppxscal/embedding_network huggingface dataset:
Characterizations and relationships of world views
Authors: C. Michael Overstreet, Richard E. Nance
Venue: Proceedings of the 36th conference on Winter simulation (2004)

We describe a characterization the three classical world views of event scheduling, activity scanning, and process interaction and discuss transformations among them. We believe that one advantage of each is to allow more concise model descriptions by allowing a model specifier to take advantage of contextual information. Automated transformation among world views is difficult due to a modeler's use of contextual information. We illustrate this by transforming and then simplifying a model representation creating a version, similar to what a programmer or modeler might generate.
GABA-ergic Modulation of Prefrontal Spatio-temporal Activation Pattern during Emotional Processing: A Combined fMRI/MEG Study with Placebo and Lorazepam
Authors: Georg Northoff, Thomas Witzel, Andre Richter, Matthias Gessner, Florian Schlagenhauf, Jürgen Fell, Frank Baumgart, Thomas Kaulisch, Claus Tempelmann, Alexander Heinzel, Rolf Kötter, Tilman Hagner, Bela Bargel, Hermann Hinrichs, Bernhard Bogerts, Henning Scheich, Hans-Jochen Heinze
Venue: Journal of Cognitive Neuroscience (2002)

Various prefrontal cortical regions have been shown to be activated during emotional stimulation, whereas neurochemical mechanisms underlying emotional processing in the prefrontal cortex remain unclear. We therefore investigated the influence of the GABA-A potentiator lorazepam on prefrontal cortical emotional-motor spatio-temporal activation pattern in a combined functional magnetic resonance imaging/magnetoencephalography study. Lorazepam led to the reversal in orbito-frontal activation pattern, a shift of the early magnetic field dipole from the orbito-frontal to medial prefrontal cortex, and alterations in premotor/motor cortical function during negative and positive emotional stimulation. It is concluded that negative emotional processing in the orbito-frontal cortex may be modulated either directly or indirectly by GABA-A receptors. Such a modulation of orbito-frontal cortical emotional function by lorazepam has to be distinguished from its effects on cortical motor function as being independent from the kind of processing either emotional or nonemotional.
Robust blind watermarking mechanism for motion data streams
Authors: Parag Agarwal, Ketaki Adi, B. Prabhakaran
Venue: Proceedings of the 8th workshop on Multimedia and security (2006)

The commercial reuse of 3D motion capture (Mocap) data in animation and life sciences raises issues with respect to its copyright. In order to improvise content protection of Mocap data, we devise a substitutive blind watermarking technique. This technique visualizes 3D Mocap data as a series of non-intersecting cluster of triangles. Bits are encoded inside the triangles by using an extended substitutive bit encoder in spatial domain. The encoding supports watermark imperceptibility and develops robustness against affine transforms (rotation, translation, scaling), noise addition, reordering and sample loss attacks. Security of the scheme can be enhanced by adding secret embedding distances between clusters, which are based on a secret key used for watermarking purpose.
Efficient Synchronization under Global EDF Scheduling on Multiprocessors
Authors: UmaMaheswari C. Devi, Hennadiy Leontyev, James H. Anderson
Venue: Proceedings of the 18th Euromicro Conference on Real-Time Systems (2006)

We consider coordinating accesses to shared data structures in multiprocessor real-time systems scheduled under preemptive global EDF. To our knowledge, prior work on global EDF has focused only on systems of independent tasks. We take an initial step here towards a generic resource-sharing framework by considering simple shared objects, such as queues, stacks, and linked lists. In many applications, the predominate use of synchronization constructs is for sharing such simple objects. We analyze two synchronization methods for such objects, one based on queue-based spin locks and a second based on lockfree algorithms.
An arithmetic for polynomial-time computation
Authors: Helmut Schwichtenberg
Venue: Theoretical Computer Science (2006)

We define a restriction LHA of Heyting arithmetic HA with the property that all extracted programs are feasible. The restrictions consist in linearity and ramification requirements.
Maximum likelihood parameter estimation under impulsive conditions, a sub-Gaussian signal approach
Authors: Panayiotis G. Georgiou, Chris Kyriakakis
Venue: Signal Processing (2006)

In this paper we present an alternative to the Gaussian and Cauchy distributions for modeling stochastic signals. The proposed model has the same impulsiveness as the Cauchy density, but it is derived as a sub-Gaussian process, i.e., a variance mixture of Gaussian random variables.We proceed to use the derived model in the problem of signal parameter estimation through the use of multisensor data. Both the data and noise are assumed to be stochastic. The main problem of interest is the estimation of the DOA and statistics of the signal. A maximum likelihood algorithm is presented for the solution of this problem, and a pseudomaximum-likelihood separable solution approach is derived. Finally, simulations are presented to demonstrate the robustness of the proposed algorithm.
Architectural and compiler techniques for microprocessor power and performance management
Authors: Doug Clark
Venue:  (2006)

As computing technology continues to progress very rapidly, many technical challenges emerge. One of these is the issue of power dissipation. Indeed, power delivery and dissipation are becoming primary limiters of performance and integration for microprocessors. In response, architectural and software level power-reduction techniques, which extend traditional circuit-level energy techniques, have gained more and more attention and become an active research area in the last few years. The work in this thesis focuses on one important problem in this area, namely dynamic power and performance management in high-performance processors. Dynamic adaptive techniques are appealing because they offer the ability to adjust on the fly according to the current run-time power and performance situation. This thesis investigates architectural and compiler techniques for controlling power and performance in microprocessors. The overall contributions of this work are the proposed new concepts, methods, and framework for intelligent power and performance management. Specifically, this work has had two major thrusts. First, formal control-theoretic techniques will be discussed in the context of hardware-based energy control. The environment is a multiple clock domain processor. An analytical system model is first proposed that describes relationships among performance demand, capability, and clock frequency. A controller is then designed to balance the speeds of different clock islands. Experimental results show that the proposed technique is 2--3 times more efficient in terms of energy delay product improvement, compared to a previous heuristic approach. In addition, the new technique is more robust with a guaranteed stability margin even under extreme cases. For the above design, both fixed-interval and adaptive interval control schemes have been investigated. Second, software-layer energy control opportunities are explored in a general dynamic compilation system. It is shown that a dynamic compiler driven scheme has several unique features and advantages over existing energy control schemes. Such a scheme is then designed, implemented, and deployed on real hardware (with a Pentium-M processor). Experimental results from physical power measurements show up to 70% energy saving is accomplished for SPEC benchmarks. In addition, because of its orthogonal features and advantages, the dynamic compiler driven scheme can be an effective complement to existing hardware-based energy control schemes.
Separating Storage from Retrieval Dysfunction of Temporal Memory in Parkinson's Disease
Authors: Chara Malapani, Bernard Deweer, John Gibbon
Venue: Journal of Cognitive Neuroscience (2002)

Dysfunction of the basal ganglia and the brain nuclei interconnected with them leads to disturbances of movement and cognition exemplified in Parkinson's disease (PD) and Huntington's disease, including disordered timing of movements and impaired time estimation. Previous research has shown that whereas striatal damage in animals can result in the loss of temporal control over behavior, dopaminergic deregulation in the human striatum associated with PD distorts the memory for time. Here we show a dissociation between deficits in storage (writing to) and retrieval (reading from) temporal memory processes. Both are dysfunctional in PD and sensitive to treatment with dopaminergic agents, but produce dissimilar distortions. When time intervals are stored in memory while the subjects are dopamine depleted, the process is slowed, leading to overestimation of two different time intervals. Conversely, when retrieval occurs in a dopamine-depleted state, interference or coupling occurs between two remembered time intervals, producing overestimation of the shorter and underestimation of the longer one. Whether those two separable patterns of dysfunction in storing and retrieving temporal memories rely on distinct neural networks within the basal ganglia and/or their cortical targets remains to be answered by future research.
A new algorithm for efficient low delay filter bank design
Authors: G. Schuller, M. J. T. Smith
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1995. on International Conference - Volume 02 (1995)

Historically, exact reconstruction FIR filter banks have had system delays of L-1, where L is the length of the analysis and synthesis filters. Recently it was shown that the system delay could be made less than L-1, which is attractive in applications like speech coding where excessive delays are annoying. In this paper, a formulation and new design algorithm are introduced for two-band low-delay filter banks. The formulation is related to that of two-band lattice filter banks and provides a broad range of design flexibility within a compact framework. Both exact reconstruction and specified system delay are guaranteed by the structure of the framework.
A Method to Evaluate Learner's Knowledge Structure in e-Learning
Authors: Yasuko Namatame, Maomi Ueno
Venue: Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies (2006)

With the advent of e-Learning, learners are able to repeatedly take quizzes at an opportune juncture. However, there is little research on this style of examination. In this research, a "consistency index", which was defined for a series of answers from repeated attempts of quizzes, was used to classify students into groups. The difference in the structure of the acquired knowledge for each group was clarified by Bayesian networks. As a result, a student who required additional individual counseling could be objectively detected. This method does not increase the student's workload and does not use a learner's subjective information.
A Social Transformation-Emergence of the Knowledge Society
Authors: Hiroshi Yamaguchi, Darius Mahdjoubi, Chittoor V. Ramamoorthy
Venue: Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (2006)

The evolution and dominance of service functions in addition to their distinguishing features has been the subject of study for years. Service functions aim to satisfy and facilitate the needs of their customers. In doing so, service providers design the service functions so that the customers feel comfortable and convenient when using them. The evolution of technology and automation has enabled functions like knowledge-intensive man-machine interactions to be flexible and user friendly. In this paper, we discuss a wide range of interconnected topics, emphasizing the multifaceted nature of service functions. These areas include the evolution of service functions and their associated systems and products, as wall as the consequent creation of implicit requirements, the technology transfer process, and the error proneness due to intense and prolonged interaction. We argue that by proper 'humanization and personalization' the servicebased interactive systems can be made easy for the customer to use and enjoy personalized services. We introduce an anonymous opinion survey mechanism for encouraging new service industry. We conclude that the existence of a strong interaction between knowledge and technology growths is shown by 'The Kozmetsky Effect' model and consider the methodology to accelerate the convergence of knowledge-technology transfer phases at the Kozmetsky Effect model.
FEISI: Towards Enterprise Information Semantic Integration
Authors: Xiong Wen Pang, De Yu Qi, Yong Jun Li
Venue: Proceedings of the 2006 IEEE Asia-Pacific Conference on Services Computing (2006)

Nowadays, Enterprise Information Semantic Integration (EISI) constitutes a real and growing need for most large enterprises, The main problem of EISI is the heterogeneity problem, especially the semantic integration. Current solutions mainly focus on structural and syntactical integration, and the solutions for semantic integration are still immature. In this paper, we introduce a novel FuseGrid-based EISI architecture named FEISI which can achieve dynamic, adaptive and semantic integration of enterprise information resources by organizing, sharing and fusing the information of enterprise. The key issues of FEISI are ontology building and query rewriting, we analyses the organization of ontology and describes a multi-level tree-based ontology structure for the former, for the latter, we show the key algorithm of FEISI. The aim of our approach is to correctly capture, structure and also to manage the semantics within large, dynamic and multidisciplinary enterprises especially enterprise groups.
Personalized Digital Item Adaptation in Service-Oriented Environments
Authors: Benjamin Kohncke, Wolf-Tilo Balke
Venue: Proceedings of the First International Workshop on Semantic Media Adaptation and Personalization (2006)

The delivery of multimedia content often needs the adaptation of the content in order to satisfy user con-straints. With the Digital Item Adaptation part, the MPEG-21 standard already defines a useful frame-work to handle this task. However, when the function-ality of adaptation is split over several services the central instantiation of a suitable service chain needs to tackle a complex multi-objective optimization prob-lem. In this problem between content choice and possi-ble adaptations the current preference model in the MPEG-7/21 standard still lacks expressiveness. In the course of this paper we demonstrate this shortcoming and how the integration of more powerful models can ease the instantiation problem. As a running example we use a typical media streaming application with Web services as basic modules. We will let a central coor-dinator instantiate a service composition by integrat-ing all needed Web services to adapt the multimedia content in the best possible fashion.
New sampling theorems for MRA subspaces
Authors: I. Djokovic, P. P. Vaidyanathan
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1995. on International Conference - Volume 02 (1995)

The existing sampling theory for MRA subspaces is generalized to several more cases. We consider derivative sampling, multiband sampling and sampling of wide sense stationary (WSS) random processes. We also show that the synthesizing functions form a Riesz basis for the corresponding MRA subspace The case of wavelet subspaces is also considered.
Modeling overloaded VoIP systems
Authors: Martin J Fischer, Denise M. Masi
Venue: Proceedings of the 37th conference on Winter simulation (2005)

Since 9/11 many telecommunications systems have seen the need to deal with overloading during high traffic conditions. As the use of VoIP increases an important question that needs to be answered is: "Can the voice packets be delivered in a timely fashion when the there has been a significant increase in traffic?" In this paper we considered the problem of modeling VoIP systems in an overloaded condition. We look at the problem from a simulation and analytic point of view. We present analytic models for the packet latency and jitter and loss probability for the three prevelant disciplines being used for VoIP today: First Come First Served, Priority Queue and Weighted Fair Queueing Systems. In addition, we investigate how simulation languages like GPSS/H compare with respect to runtime with simulation models developed using Visual Basic for Applications and if their runtimes are acceptable for practical use.
M/M/1 Queueing systems with inventory
Authors: Maike Schwarz, Cornelia Sauer, Hans Daduna, Rafal Kulik, Ryszard Szekli
Venue: Queueing Systems: Theory and Applications (2006)

We derive stationary distributions of joint queue length and inventory processes in explicit product form for various M/M/1-systems with inventory under continuous review and different inventory management policies, and with lost sales. Demand is Poisson, service times and lead times are exponentially distributed. These distributions are used to calculate performance measures of the respective systems. In case of infinite waiting room the key result is that the limiting distributions of the queue length processes are the same as in the classical M/M/1/¿-system.
Adaptive teaching strategies to improve student learning in problem-based learning environments
Authors: Rebecca Denning, Philip J. Smith
Venue: Proceedings of the 1996 international conference on Learning sciences (1996)

The purpose of this study is to investigate the use of adaptive teaching strategies and resource allocation to enhance training in cooperative learning settings. The Biology Sleuth is a multi-media learning environment developed as a testbed to vary the distribution of critical resources and the use of teaching strategies, and to study their effects on group dynamics and individual learning. Students work in a cooperative environment, aided by various resources including a knowledge-base, each other, the software, and the teacher. This study examines the effects of two teaching and resource allocation strategies in this environment and suggests these strategies can have a large impact on both group dynamics and individual learning.
Simulating Radiological Accidents through Software Agents
Authors: Tadeu Augusto de Almeida Silva, Oscar Luiz Monteiro de Farias, Neide dos Santos
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)

Radiological accidents can result in significant radiation exposures of workers and of the public. These accidents usually occur as a consequence of human activities in military, industry, medicine, agriculture and research, involving the use of radiation and radioactive substances that cause radiation exposure in addition to the natural exposure. The effects of radiological disasters must be promptly investigated and the assessment of doses estimated, in order to provide adequate medical treatment to the persons affected, study their impact in society, as well learning lessons for the future and prevent further accidents. In this paper we introduce the use of software multi-agents systems immersed in a geographical representation of the world, as a viable and economic option to simulate radiological accidents and assess doses. Build an environment, where the researcher can simulate a non-natural radioactive dispersion, in a delimited area, can furnish parameters for analyzing, studying and managing these dynamic systems.
An Intelligent Detection and Response Strategy to False Positives and Network Attacks: Operation of Network Quarantine Channels and Feedback Methods to IDS
Authors: Emmanuel Hooper
Venue: Proceedings of the Second International Workshop on Security, Privacy and Trust in Pervasive and Ubiquitous Computing (2006)

Network-based Intrusion Detection Systems (IDSs) are designed to monitor potential attacks in network infrastructures. IDSs trigger alerts of potential attacks in network security. These alerts are examined by security analysts to see if they are benign or attacks. However these alerts consist of high volumes of false positives, which are triggered by suspicious but normal, benign connections. These high volumes of false positives makes manual analysis of the alerts difficult and inefficient in real-time detection and response. In this paper we discuss briefly the significance of false positives and their impact on intrusion detection and response. Then we propose a novel approach for an efficient intelligent detection and response through the reduction of false positives. The intelligent strategy consists of technique with multiple zones for isolation and interaction with the hosts from which the packets were sent in real-time. We propose multiple feedback methods to the IDS monitor and database to indicate the status of the alerts. These innovative approaches, using NQC and feedback mechanisms enhance the capability of the IDS to detect threats and benign attacks. This is accomplished by applying adaptive rules to the alert filters and policies of the IDS network sensors.
Complex dynamics of double-loop tracking system
Authors: V. P. Ponomarenko
Venue: Proceedings of the 2003 International Conference on Physics and Control - Volume 2 (2003)

This paper deals with the problem of nonlinear dynamics of a system of coupled phase-locked loop and delay-lock loop interacting through crossed feedback. Stability of regime of synchronization and the behaviour of the system at the boundaries of stability region are studied. Possible scenarios of the evolution of nonsynchronous regimes as a function of system parameters are found. Strong dependence of nonsynchronous regimes on control circuits parameters is found. Index Terms-Double-loop tracking system, chaos, nonlinear dynamics, stability, synchronization. The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
A Novel Scalable Algorithm for Supervised Subspace Learning
Authors: Jun Yan, Ning Liu, Benyu Zhang, Qiang Yang, Shuicheng Yan, Zheng Chen
Venue: Proceedings of the Sixth International Conference on Data Mining (2006)

Subspace learning approaches aim to discover important statistical distribution on lower dimensions for high dimensional data. Methods such as Principal Component Analysis (PCA) do not make use of the class information, and Linear Discriminant Analysis (LDA) could not be performed efficiently in a scalable way. In this paper, we propose a novel highly scalable supervised subspace learning algorithm called as Supervised Kampong Measure (SKM). It assigns data points as close as possible to their corresponding class mean, simultaneously assigns data points to be as far as possible from the other class means in the transformed lower dimensional subspace. Theoretical derivation shows that our algorithm is not limited by the number of classes or the singularity problem faced by LDA. Furthermore, our algorithm can be executed in an incremental manner in which learning is done in an online fashion as data streams are received. Experimental results on several datasets, including a very large text data set RCV1, show the outstanding performance of our proposed algorithm on classification problems as compared to PCA, LDA and a popular feature selection approach, Information Gain (IG).
A dual functional to the univariate B-spline
Authors: Zhao Guohui, Liu Xiuping, Su Zhixun
Venue: Journal of Computational and Applied Mathematics (2006)

In this paper, dual functionals with local supports to the univariate B-splines are constructed by symmetrization, which are a linear combination of function values.