ppxscal/embedding_network huggingface dataset:
Win32 API emulation on UNIX for software DSM
Authors: Sven M. Paas, Thomas Bemmerl, Karsten Scholtyssik
Venue: Proceedings of the 2nd conference on USENIX Windows NT Symposium - Volume 2 (1998)

This paper presents a new Win32 API emulation layer called nt2unix. It supports source code compatible Win32 console applications on UNIX. We focus on the emulation of specific Win32 features used for systems programming like exception handling, virtual memory management, Windows NT multithreading / synchronization and the WinSock API for networking. As a case study, we ported the all-software distributed shared memory (DSM) system SVMlib - consisting of about 15.000 lines of C++ code written natively for the Win32 API - to Sun Solaris 2.5 with absolutely no source code changes.
Signal processing for interference suppression in direct-sequence CDMA systems
Authors: U. Madhow
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02 (1996)

The major limitation on the performance and capacity of direct-sequence code division multiple access (CDMA) is the multiple-access interference due to simultaneous transmissions. The signal processing for near-far resistant multiuser detectors typically follows a bank of matched filters or correlators (sampled at the symbol rate to produce sufficient statistics for demodulation) corresponding to all simultaneous transmissions. Due to the asynchronism among the transmissions, implementation of any near-far resistant demodulator using such a front end requires an infinite memory. However, an alternative front end which consists of a chip matched filter sampled at a multiple of the chip rate, coupled with the use of a finite observation interval for the demodulation of each symbol, can be used to obtain finite memory, near-far resistant, methods for demodulation and timing acquisition for asynchronous CDMA systems. We discuss the design of interference suppression schemes based on this front end.
Embedding self-similar watermarks in the wavelet domain
Authors: S. Tsekeridou
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04 (2000)

A wavelet-based watermarking method for still images is presented. Watermarks are composed of scaled versions of circularly-symmetric pseudo-random 2D signals in order to attain a spatial self-similar structure with respect to a cartesian grid. Embedding and detection are performed in the wavelet domain thus allowing multi-level detection. The novelty of the method lies in the use of self-similar watermarks (quasi scale-invariant), expected to be robust against geometric transformations, especially scaling. The approach proves rather efficient against many kinds of distortions, such as linear and nonlinear filtering, JPEG and wavelet compression, scaling, cropping and rotation.
Time series prediction using chaotic neural networks on the CATS benchmark
Authors: Igor Beliaev, Robert Kozma
Venue: Neurocomputing (2007)

K"I"I"I is a strongly biologically inspired neural network model. It has a multi-layer architecture with excitatory and inhibitory neurons, which have massive lateral, feedforward, and delayed feedback connections between layers. K"I"I"I has been shown to be an efficient tool of classification and pattern recognition. In this work, we develop a methodology to use K"I"I"I for multi-step time series prediction. This method is applied to the IJCNN CATS benchmark data. Taking into account the results of CATS competition, we improve upon our method by tuning the K-network parameters, therefore providing a better set of parameters for prediction task.
Imbalanced Datasets Classification by Fuzzy Rule Extraction and Genetic Algorithms
Authors: Vicenc Soler, Jesus Cerquides, Josep Sabria, Jordi Roig, Marta Prim
Venue: Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops (2006)

We propose a method based on the extraction of fuzzy rules by genetic algorithms for the classification of imbalanced datasets when understandability is an issue. We propose a new method for fuzzy variable construction based on modifying the set of fuzzy variables obtained by the RecBF/DDA algorithm. Later, these variables are recombined to obtain fuzzy rules by means of a Genetic Algorithm. The method has been developed for the detection of Down's syndrome in fetus. We provide empirical results showing its accuracy for this task. Furthermore, we provide more generic experimental results over UCI datasets proving that the method can have a wider applicability.
A per-survivor Kalman-based prediction filter for space-time coded systems
Authors: Der-Fen Tsen, Shu-Ming Tseng
Venue: Proceedings of the The 8th International Conference on Communication Systems - Volume 01 (2002)

Space-time codes have been proposed as an efficient way for improving the data rates over fading channels by employing multiple transmit/receive antennas in wireless digital communications links. To realize these gains, channel state information is assumed to be available and approximated to be constant during a data transmission burst. In this paper, a per-survivor processing (PSP) which incorporates statistical channel modeling and Kalman filtering to perform maximum-likelihood sequence estimation (MLSE) is presented to jointly estimate the channels and detect the transmitted symbols in a fast fading environment. The fading channel is modeled to be a Gauss-Markov random process to characterize the time variation. A space-time pilot symbol sequence to achieve the diversity/coding gains is also designed to initialize the channel estimates. Simulation results demonstrate this optimal Kalman-based approach could achieve better tracking performance in terms of bit error probability than that of recursive least squares (RLS) tracking method over fast Rayleigh flat fading channels.
The contributions of visual flow and locomotor cues to walked distance estimation in a virtual environment
Authors: J. L. Campos, J. S. Butler, B. J. Mohler, H. H. Bülthoff
Venue: Proceedings of the 4th symposium on Applied perception in graphics and visualization (2007)

Traversed distance perception involves estimating the extent of self-motion as one travels from one position in space to another. As such, it is a multi-modal experience in which information from both visual flow and locomotor cues (i.e. proprioceptive, efference copy and vestibular cues) jointly specify the magnitude of self-motion. While recent evidence has demonstrated the extent to which each of these cues can be used independently to estimate traversed distance, relatively little is known about how they are integrated when simultaneously present. Evaluating multi-modal cue integration in the context of dynamic locomotor behaviour is important to both understanding issues related to self-motion perception, as well as perceptual-motor coupling in real and virtual environments.
Filterfresh: hot replication of java RMI server objects
Authors: Arash Baratloo, P. Emerald Chung, Yennun Huang, Sampath Rangarajan, Shalini Yajnik
Venue: Proceedings of the 4th conference on USENIX Conference on Object-Oriented Technologies and Systems - Volume 4 (1998)

This paper presents the design and implementation of a Java package called Filterfresh for building replicated fault-tolerant servers. Maintaining the correctness and integrity of replicated servers is supported by a GroupManager object instantiated with each replica to form a logical group. The Group Managers use a Group Membership algorithm to maintain a consistent group view and a Reliable Multicast mechanism to communicate with other Group Managers. We then demonstrate how Filterfresh can be integrated into the Java RMI facilities. First we use the GroupManager class to construct a fault-tolerant RMI registry called FT Registry-a group of replicated RMI registry servers. Second, we describe our implementation of the FT Unicast-a client-side mechanism that tolerates and masks server failures below the stub layer, transparent to the client. We also present initial performance results, and discuss how general purpose RMI servers can be made highly available using the Filterfresh package.
Data Prefetching and Data Forwarding in Shared Memory Multiprocessors
Authors: David K. Poulsen, Pen-Chung Yew
Venue: Proceedings of the 1994 International Conference on Parallel Processing - Volume 02 (1994)

This paper studies and compares the use of data prefetching and an alternative mechanism, data forwarding, for reducing memory latency due to interprocessor communication in cache coherent, shared memory multiprocessors. Two multiprocessor prefetching algorithms are presented and compared. A simple blocked vector prefetching algorithm, considerably less complex than existing software pipelined prefetching algorithms, is shown to be effective in reducing memory latency and increasing performance. A Forwarding Write operation is used to evaluate the effectiveness of forwarding. The use of data forwarding results in significant performance improvements over data prefetching for codes exhibiting less spatial locality. Algorithms for data prefetching and data forwarding are implemented in a parallelizing compiler. Evaluation of the proposed schemes and algorithms is accomplished via execution-driven simulation of large, optimized, parallel numerical application codes with loop-level and vector parallelism. More data, discussion, and experiment details can be found in [1].
Adaptive Steganography based on textures
Authors: Dulce R. Herrera-Moro, Raul Rodriguez-Colin, Claudia Feregrino-Uribe
Venue: Proceedings of the 17th International Conference on Electronics, Communications and Computers (2007)

In this work we present a steganographic algorithm that allows an image process to identify the regions in a cover image where it is less probable to detect a hidden message using visual attacks. The regions selected are those whose texture is not homogeneous. This is because those kind of regions are originally noisy and is too difficult to detect extra information. Since the pixels where a message is hidden depend directly on the features of the cover image the steganographic system becomes adaptive. Tests were carried out with different kind of gray scale images and the results are compared against other approaches.
FPGA implementation of adaptive temporal Kalman filter for real time video filtering
Authors: R. D. Turney
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 04 (1999)

Filtering noise in real-time image sequences is required in some applications like medical imaging. The optimum approach in this case is in the form of adaptive 3-D spatial-temporal filter, which is generally very complex and prohibitive for real-time implementation. Independent processing of the image sequences, in spatial and temporal domains can resolve some of these implementation difficulties. Some of the existing spatial filters can easily be modified for real-time implementation. Adaptive temporal filters, however, are more involved. In this paper, an adaptive temporal filter is proposed that lend itself to hardware implementation for real-time temporal processing of image sequences. The proposed algorithm is based on adaptive Kalman filtering which is relatively simple and effective in its performance. Adaptation in this case is with respect to motion in the image sequence as well as variation of noise statistics. An efficient hardware implementation of this algorithm, based on FPGA technology, is proposed.
Correlating instrumentation data to system states: a building block for automated diagnosis and control
Authors: Ira Cohen, Moises Goldszmidt, Terence Kelly, Julie Symons, Jeffrey S. Chase
Venue: Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6 (2004)

This paper studies the use of statistical induction techniques as a basis for automated performance diagnosis and performance management. The goal of the work is to develop and evaluate tools for offline and online analysis of system metrics gathered from instrumentation in Internet server platforms. We use a promising class of probabilistic models (Tree-Augmented Bayesian Networks or TANs) to identify combinations of system-level metrics and threshold values that correlate with high-level performance states--compliance with Service Level Objectives (SLOs) for average-case response time--in a three-tier Web service under a variety of conditions. Experimental results from a testbed show that TAN models involving small subsets of metrics capture patterns of performance behavior in a way that is accurate and yields insights into the causes of observed performance effects. TANs are extremely efficient to represent and evaluate, and they have interpretability properties that make them excellent candidates for automated diagnosis and control. We explore the use of TAN models for offline forensic diagnosis, and in a limited online setting for performance forecasting with stable workloads.
3D Motion Recognition based on Ensemble Learning
Authors: HongLi Zhu, PengYing Du, Jian Xiang
Venue: Proceedings of the Eight International Workshop on Image Analysis for Multimedia Interactive Services (2007)

In this paper, a novel method is presented for 3D motion recognition based on Motion Capture Database. We use 3D features and their keyspaces of each human joint to represent human motion. After features extraction, Ensemble HMM learners are used to train data. Then each action class is learned with one HMM and bagging algorithm is used to ensemble all learners. Since ensemble learning can effectively enhance supervised learners, ensembles of weak HMM learners are built. It is obvious thatthe proposed methods are effective by experimental results.
VIDIHIP - A Web Service based Integration Platform for Power Plant Control Systems
Authors: Mark Strembeck, Otto U. Plhal
Venue: Proceedings of the IEEE International Conference on Service-Oriented Computing and Applications (2007)

European energy supply companies typically run a conglomerate of different, geographically distributed power plants. Unfortunately, the corresponding power plant control systems are based on proprietary technology and an integration of these control systems is a very complex task. We thus conducted a project to build an integration platform for power plant control systems that is based on open standards and technologies. In this paper, we describe the Vienna District Heating Integration Platform (VIDIHIP). VIDIHIP is based on Web Service technology and allows for the integration of arbitrary (heterogenous) power plant control systems. It provides a consistent interface to access different decentralized control systems and each standard Web browser can be used as a control front-end for VIDIHIP.
A Logical Framework for Monitoring and Evolving Software Components
Authors: Howard Barringer, David Rydeheard, Dov Gabbay
Venue: Proceedings of the First Joint IEEE/IFIP Symposium on Theoretical Aspects of Software Engineering (2007)

We present a revision-based logical framework for modelling hierarchical assemblies of evolvable component systems. An evolvable component is a tight coupling of a pair of components, consisting of a supervisor and a supervisee, with the supervisor able to both monitor and evolve its supervisee. An evolvable component pair is itself a component so may have its own supervisor, or may be encapsulated as part of a larger component. Components are modelled as logical theories containing actions which describe state revisions. Supervisor components are modelled as theories which are logically at a meta-level to their supervisee. Revision actions at the meta-level describe theory changes in the supervisee at the object-level. These correspond to various evolutionary changes in the component. We present this framework and show how it enables us to describe the architecture and logical structure of evolvable systems.
Faculty Motivators and De-motivators for Teaching Online: Results of Focus Group Interviews at One University
Authors: Starr Roxanne Hiltz, Eunhee Kim, Peter Shea
Venue: Proceedings of the 40th Annual Hawaii International Conference on System Sciences (2007)

What are the most significant factors that motivate and inhibit faculty with regard to teaching in online environments? And what are the specific kinds of experiences that underlie and explain the importance of these factors? Exploring these questions through structured focus group discussions is the primary goal of this study. The second goal is to provide insight regarding how to engage and retain a larger number of faculty in online teaching. This paper describes the methods and results of a pilot study conducted using focus group interviews of faculty experienced in teaching using "Asynchronous Learning Networks" (ALN) at one university. Leading motivators are the flexibility allowed by being able to teach "anytime/anywhere;" better/more personal interaction and community building supported by the medium; the technical and creativity challenges offered by this mode of teaching; being able to reach more (and more diverse) students; and better course management. Major sources of dissatisfaction are more work, medium limitations, lack of adequate support and policies for teaching online, and the fact that the medium is not a good fit for some students.
A Low Power Frequency Multiplication Technique for ZigBee Transciever
Authors: Jagdish Nayayan Pandey, Sudhir S. Kudva, Bharadwaj Amrutur
Venue: Proceedings of the 20th International Conference on VLSI Design held jointly with 6th International Conference: Embedded Systems (2007)

A low-power frequency multiplication technique, developed for ZigBee (IEEE 802.15.4) like applications is presented. We have provided an estimate for the power consumption for a given output voltage swing using our technique. The advantages and disadvantages which determine the application areas of the technique are discussed. The issues related to design, layout and process variation are also addressed. Finally, a design is presented for operation in 2.405 2.485-GHz band of ZigBee receiver. SpectreRF simulations show 30% improvement in efficiency for our circuit with regard to conversion of DC bias current to output amplitude, against a LC-VCO. To establish the low-power credentials, we have compared our circuit with an existing technique; our circuit performs better with just 1/3 of total current from supply, and uses one inductor as against three in the latter case. A test chip was implemented in UMC 0.13-ìm RF process with spiral on-chip inductors and MIM (Metal-Insulator-Metal) capacitor option.
Canonical form based boolean matching and symmetry detection in logic synthesis and verification
Authors: Massoud Pedram
Venue:  (2006)

Boolean matching algorithms have many applications in logic synthesis especially in technology mapping and combinational logic verification. Canonical form based Boolean matching has been studied by many researchers. However, none of the previous work has produced in an algorithm with reasonable space and time complexities for general Boolean matching problem. In contrast, this dissertation provides an efficient and compact canonical form for representing the set of all Boolean functions that are equivalent under permutation of input variables and complementation of input or output variables (i.e., NPN-equivalent Boolean functions). In particular, important properties of the proposed canonical form are investigated, and subsequently utilized to devise an effective algorithm for computing the proposed canonical form. The low average computational complexity of this algorithm allows it to be applied to large complex Boolean functions with no limitation on the number of input variables as opposed to previous approaches, which are not capable of handling functions with more than seven inputs. Key contributions of this thesis include the introduction of the complete set of generalized signatures of a Boolean function, development of efficient methods of recognizing variable symmetries, and presentation of a proficient algorithm for computing the canonical form of the class of NPN-equivalent Boolean functions based on the generalized signatures and variable symmetries.
Minitrack on IT and Project Management
Authors: Sue Newell, Jacky Swan, Joseph Weiss
Venue: Proceedings of the 40th Annual Hawaii International Conference on System Sciences (2007)

Project-based working forms a major component of information technology (IT) activity in most companies, especially in relation to the design and implementation of new IT systems. Yet evidence suggests that many IT projects do not meet cost, schedule and functionality targets. This has significant negative implications for individual companies and for national economies. For example, Johnson [1}estimated that $81 billion was spent in the USA on IT projects that were abandoned before they were completed. Moreover, IT tools and techniques are seen to be central to the management of projects of all types across the diverse range of industrial sectors.
Probabilistic localization of mobile ad hoc networks
Authors: Gergely V. Zaruba, Sajal K. Das
Venue:  (2006)

The mobile ad hoc network localization problem deals with estimating the physical location of the nodes that do not have a direct way (e.g., GPS) to determine their own locations. Being an enabling technology that is considered essential to the success of the future implementation of ad hoc networks in the real world, localization is a fundamental problem that needs to be solved with the best possible accuracy and efficiency. For this research, we study the localization problem in its various incarnations such as localization through static beacons, mobile beacons, dynamically deployed beacons and link longevity estimation based on relative locations. We will show the fundamental difficulty of the localization problem using computational complexity theories. We will also propose a probabilistic framework that serves as an approximation framework for this difficult problem. We will demonstrate the effectiveness of this framework via analysis and simulation.
Using the WWW to support Project-Team formation
Authors: J. Hong, L. Leifer
Venue: Proceedings of the Frontiers in Education Conference on 1995. Proceedings., 1995 vol 1. - Volume 01 (1995)

A team-based mechanical engineering design course at Stanford University has been expanded to include a new set of students attending remotely from industry. Because this class is centered on collaborative team experiences, it requires a degree of interactivity beyond what can be provided by periodic lecture transmissions. The World-Wide Web has been adopted as an artificial backbone in service of social exchange, and its use in facilitating project-team formation is examined. Once the technological hurdle is overcome, socio-cultural differences between the university environment and workplace emerge as main barriers to successful peer-interaction.
A non-stationary RLS algorithm for adaptive tracking of Markov time varying channel
Authors: M. Turki-Hadaj Alouane
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 03 (1999)

We propose a new adaptive algorithm designed to track system presented by a filter that has Markovian time evolution. As the non-stationary LMS (NSLMS) algorithm, the non-stationary RLS (NSRLS) algorithm performs better than the LMS and is able to identify the unknown order and parameters of the Markov model. However in the case of the NSRLS algorithm, the convergence speed of the Markovian parameter is very high compared to that of the NSLMS algorithm. Moreover, the NSRLS algorithm has a better tracking capacity than the NSLMS, especially when the filter poles that characterize time variations of the channel are close to the unit circle.