ppxscal/embedding_network huggingface dataset:
Energy and Delay Improvement via Decimal Floating Point Units
Authors: Hossam A. H. Fahmy, Ramy Raafat, Amira M. Abdel-Majeed, Rodina Samy, Tarek ElDeeb, Yasmin Farouk
Venue: Proceedings of the 2009 19th IEEE Symposium on Computer Arithmetic (2009)

Interest in decimal arithmetic increased considerably in recent years. This paper presents new designs for decimal floating point (DFP) addition, multiplication, fused multiply-add, division, and square root. It stresses the importance of energy savings achieved by hardware implementations of the IEEE standard for decimal floating point. To the best of the authors knowledge, this is the first work to discuss energy savings in DFP and the first to present a hardware implementation of a fused multiply-add. Our Newton-Raphson based divider is over three times faster than the similar design previously reported.
Discriminative methods for transliteration
Authors: Dmitry Zelenko, Chinatsu Aone
Venue: Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing (2006)

We present two discriminative methods for name transliteration. The methods correspond to local and global modeling approaches in modeling structured output spaces. Both methods do not require alignment of names in different languages -- their features are computed directly from the names themselves. We perform an experimental evaluation of the methods for name transliteration from three languages (Arabic, Korean, and Russian) into English, and compare the methods experimentally to a state-of-the-art joint probabilistic modeling approach. We find that the discriminative methods outperform probabilistic modeling, with the global discriminative modeling approach achieving the best performance in all languages.
Changes in Concentration of Oxygenated Hemoglobin in the Prefrontal Cortex while Absorbed in Listening to Music
Authors: Junichiro Wakatsuki, Kazuhiro Akashi, Takashi Uozumi
Venue: Proceedings of the 2009 International Conference on Biometrics and Kansei Engineering (2009)

Two experiments were conducted to investigate the relation between changes in regional cerebral blood flow (rCBF) during listening to music and the impression of that music. As an indicator of rCBF, the oxygenated hemoglobin concentration (oxy-Hb) was adopted, as measured using near-infrared spectroscopy. In all, eight subjects participated in Experiment 1: we compared effects of music and noise played at three sound pressures. A significant decrease in rCBF was found in most subjects when listening to music at ca. 65 dB. Linear regression of evaluated items of impression against changes in rCBF was conducted, revealing that absorption had the largest coefficient of determination. In Experiment 2, two of the eight subjects compared effects of music of various kinds. Linear regression revealed the same results as Experiment 1, suggesting that some regions near the prefrontal cortex become active when a listener is absorbed in listening to music.
Pulse discrete cosine transform for saliency-based visual attention
Authors: Ying Yu, Bin Wang, Liming Zhang
Venue: Proceedings of the 2009 IEEE 8th International Conference on Development and Learning (2009)

This paper proposes a saliency-based attention model based on pulsed cosine transform that simulates the lateral surround inhibition of neurons with similar visual features. The model can be extended to Hebbian-based neural networks. The visual saliency can be represented in binary codes, which agrees with the firing pulse of neurons in human brain. In addition, motion saliency can be directly generated by these pulse codes. Due to its good performance in eye fixation prediction and low computational complexity, our model can be used in real-time system such as robot navigation, virtual human system, and intelligent auto-focus system embedded in digital camera.
Performance evaluation and error analysis for multimodal reference resolution in a conversation system
Authors: Joyce Y. Chai, Zahar Prasov, Pengyu Hong
Venue: Proceedings of HLT-NAACL 2004: Short Papers on XX (2004)

Multimodal reference resolution is a process that automatically identifies what users refer to during multimodal human-machine conversation. Given the substantial work on multimodal reference resolution; it is important to evaluate the current state of the art, understand the limitations, and identify directions for future improvement. We conducted a series of user studies to evaluate the capability of reference resolution in a multimodal conversation system. This paper analyzes the main error sources during real-time human-machine interaction and presents key strategies for designing robust multimodal reference resolution algorithms.
A new heuristic to solve the one-warehouse N-retailer problem
Authors: Beatriz Abdul-Jalbar, Anders Segerstedt, Joaquín Sicilia, Andreas Nilsson
Venue: Computers and Operations Research (2010)

We deal with a multi-echelon inventory system in which one warehouse supplies an item to multiple retailers. Customer demand arrives at each retailer at a constant rate. The retailers replenish their inventories from the warehouse that in turn orders from an outside supplier. It is assumed that shortages are not allowed and lead times are negligible. The goal is to determine replenishment policies that minimize the overall cost in the system. We develop a heuristic to compute efficient policies, which also can easily be used in a spreadsheet application. The main idea consists of finding a balance between the replenishment and the inventory holding costs at each installation. This new heuristic we compare with two other approaches proposed in the literature; the computational studies show that in most of the instances generated the new method provides lower costs.
Modeling Pilot and Driver Behavior for Human Error Simulation
Authors: Andreas Lüdtke, Lars Weber, Jan-Patrick Osterloh, Bertram Wortelen
Venue: Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009 (2009)

In order to reduce human errors in the interaction with in safety critical assistance systems it is crucial to consequently include the characteristics of the human operator already in the early phases of the design process. In this paper we present a cognitive architecture for simulating man-machine interaction in the aeronautics and automotive domain. Though both domains have their own characteristics we think that it is possible to apply the same core architecture to support pilot as well driver centered design of assistance systems. This text shows how phenomena relevant in the automobile or aviation environment can be integrated in the same cognitive architecture.
The Study of Film and TV Cultural Creative Industry Based on Digital Technology
Authors: Liu Jingchen, Xiang Zhongping
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 01 (2009)

Film and TV cultural creative industry is an important part of cultural creative industry, the development of film and TV industry has large pushing effect on cultural creative industry, the paper mainly studies digital technology provides a strong technical support on film and TV cultural creative industry,and points out in the digital age, film and TV industry should apply of digital technology correctly.
Research on Evaluation of Parallelization on an Embedded Multicore Platform
Authors: Tao Liu, Zhenzhou Ji, Qing Wang, Dali Xiao, Shuyan Zhang
Venue: Proceedings of the 8th International Symposium on Advanced Parallel Processing Technologies (2009)

In order to solve the problem of serious performance bottleneck in traditional embedded platform, the parallelization of evaluation algorithms based on an embedded multicore platform is implemented. By analyzing the process of the parallel algorithms on the embedded chip multicore platform, and effectively using the limited memory and cache resource, the evaluation algorithms are implemented in an embedded multicore processor FPGA full function simulation platform. After comparing the parallelization effects of the two multithread models, a conclusion can be made that the shared memory model of parallel multithread fits the embedded multicore platform well. The parallel model generates substantial overall performance increase. An average relative speedup of 3.28 is achieved and meets the low memory resource in embedded architecture. And with the increase in core number the parallelization based on OpenMP model has shown good scalability.
Transforming MPI source code based on communication patterns
Authors: Robert Preissl, Martin Schulz, Dieter Kranzlmüller, Bronis R. de Supinski, Daniel J. Quinlan
Venue: Future Generation Computer Systems (2010)

A high-level understanding of communication behavior can facilitate performance optimization of HPC applications. In particular, MPI communication patterns can serve as the basis of code transformations that substitute more efficient operations for those originally used by the application developer. We present a novel algorithm for identifying MPI communication patterns and a mechanism to perform source code transformations based on the observed patterns. Our transformation mechanism, implemented within the ROSE compiler framework, modifies the abstract syntax tree based on static analysis that confirms the generalizability of the patterns that we detect. Our results demonstrate the efficiency of our approach. Our pattern detection algorithm, which we evaluate with realistic applications using traces from up to 128 processors as well as with simple benchmarks, has low overhead as input or job size grows. Our transformation mechanism quickly optimizes MPI source code by replacing MPI code fragments for collective operations through highly optimized native MPI functions and by increasing the overlapping of communication and computation.
The Systematic Analysis and Simulation of Atmospheric Environment Based on GIS
Authors: Zheng Ji-dong, Shao Long-yi
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

Geographic information system (GIS) can deal with large quantity of data efficiently. Based on GIS, this paper researches the ambient air pollution and establishes dynamic databases of the atmospheric environment in Jiaozuo city. Through analyzing a plenty of spatial data systematically, this article establishes dynamic simulation models and the spatial analysis models on ambient air quality. The study also achieves to give visual predication and simulation of air quality.
Bearing Faults Diagnosis Based on Teager Energy Operator Demodulation Technique
Authors: Hui Li, Lihui Fu, Yuping Zhang
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

A new demodulation approach to fault diagnosis of bearing based on Teager energy operator (TEO) technique is presented. Firstly, TEO can tracks the modulation energy of the vibration signal and estimates the instantaneous amplitude. Secondly, the envelope spectrum is applied to the instantaneous amplitude. Therefore, the character of the bearing faults can be recognized according to the envelope spectrum. The experimental results show that envelope spectrum based on Teager energy operator technique can effectively diagnose the faults of the bearing.
ARTISTE: Agent Organization Management System for Multi-Agent Systems
Authors: Atsushi Terauchi, Osamu Akashi, Mitsuru Maruyama, Kensuke Fukuda, Toshiharu Sugawara, Toshio Hirotsu, Satoshi Kurihara
Venue: Multi-Agent Systems for Society: 8th Pacific Rim International Workshop on Multi-Agents, PRIMA 2005, Kuala Lumpur, Malaysia, September 26-28, 2005, Revised Selected Papers (2009)

An organizational information management system for multi-agent systems (MASs) on the Internet, called ARTISTE, is proposed. For an MAS to solve problems effectively, it is important to organize agents appropriately. Organizing agents adaptively on the Internet, however, is not easy, because the status of the Internet changes dynamically in a short time and no one can have a complete view of the whole network. The aims of ARTISTE are to form an agent organization in accordance with the current Internet and its problem-solving context and to provide organizational information for target MASs. ARTISTE operates as an independent system with respect to any MAS. To organize agents, ARTISTE collects information about agents' abilities and statuses, network information such as topologies, and a problem-dependent requirement from a target MAS. ARTISTE is designed as an MAS, and it can collect the information about the network and the target MAS from multiple observation points. Furthermore, ARTISTE agents exchange their own local information in order to create a more global view of the network and the distribution of the agents. A prototype implementation of ARTISTE achieved sufficient performance to support deployment in the actual Internet environment.
Integrating Data Mining and Agent Based Modeling and Simulation
Authors: Omar Baqueiro, Yanbo J. Wang, Peter Mcburney, Frans Coenen
Venue: Proceedings of the 9th Industrial Conference on Advances in Data Mining. Applications and Theoretical Aspects (2009)

In this paper, we introduce an integration study which combines Data Mining (DM) and Agent Based Modeling and Simulation (ABMS). This study, as a new paradigm for DM/ABMS, is concerned with two approaches: (i) applying DM techniques in ABMS investigation, and inversely (ii) utilizing ABMS results in DM research. Detailed description of each approach is presented in this paper. A conclusion and the future work of this (integration) study are given at the end.
Automatic voice onset time estimation from reassignment spectra
Authors: Veronique Stouten, Hugo Van hamme
Venue: Speech Communication (2009)

We describe an algorithm to automatically estimate the voice onset time (VOT) of plosives. The VOT is the time delay between the burst onset and the start of periodicity when it is followed by a voiced sound. Since the VOT is affected by factors like place of articulation and voicing it can be used for inference of these factors. The algorithm uses the reassignment spectrum of the speech signal, a high resolution time-frequency representation which simplifies the detection of the acoustic events in a plosive. The performance of our algorithm is evaluated on a subset of the TIMIT database by comparison with manual VOT measurements. On average, the difference is smaller than 10ms for 76.1% and smaller than 20ms for 91.4% of the plosive segments. We also provide analysis statistics of the VOT of /b/, /d/, /g/, /p/, /t/ and /k/ and experimentally verify some sources of variability. Finally, to illustrate possible applications, we integrate the automatic VOT estimates as an additional feature in an HMM-based speech recognition system and show a small but statistically significant improvement in phone recognition rate.
Reconstruction of Derivatives by a Truncated Chebyshev Spectral Method
Authors: Zhenyu Zhao, Junfeng Liu, Jiejing Qi
Venue: Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 01 (2009)

A numerical differentiation problem for a given function with noisy data is discussed in this paper. A truncated Chebyshev spectral method has been introduced to deal with the ill-posedness of the problem. The numerical results shows that the method is very effective.
Efficient change control of XML documents
Authors: Sebastian Rönnau, Geraint Philipp, Uwe M. Borghoff
Venue: Proceedings of the 9th ACM symposium on Document engineering (2009)

XML-based documents play a major role in modern information architectures and their corresponding workflows. In this context, the ability to identify and represent differences between two versions of a document is essential. Several approaches to finding the differences between XML documents have already been proposed. Typically, they are based on tree-to-tree correction, or sequence alignment. Most of these algorithms, however, are too slow and do not support the subsequent merging of changes. In this paper, we present a differencing algorithm tailored to ordered XML documents, called DocTreeDiff. It relies on our context-oriented XML versioning model which allows for document merging, presented in earlier work. An empiric evaluation demonstrates the efficiency of our approach as well as the high quality of the generated deltas.
Enforcement of Security Properties for Dynamic MAC Policies
Authors: J. Briffaut, J.-F. Lalande, C. Toinard, M. Blanc
Venue: Proceedings of the 2009 Third International Conference on Emerging Security Information, Systems and Technologies (2009)

This paper focuses on the enforcement of security properties fitting with dynamic Mandatory Access Control policies. It adds complementary results to previous works of the authors in order to better address dynamic policies. Previous works of the authors provide several advances for enforcing the security of MAC system.An administration language for formalizing a large set of security properties is available to system administrators. That language uses several flow operators and ease the formalization of the required security properties. A solution is also available for computing the possible violations of any security property that can be formalized using our language. That solution computes several flow graphs in order to find all the allowed activities that can violate the requested properties. That paper addresses remaining problems related to the enforcement of the same kind of properties but with dynamic MAC policies. Enforcement is more much complex if we consider dynamic policies since the states of those policies are theoretically infinite. A new approach is proposed for dynamic MAC policies. The major idea is to use a meta-policy language for controlling the allowed evolutions of those dynamic policies. According to those meta-policy constraints, the computation problem becomes easier. The proposed solution adds meta-nodes within the considered flow graphs. A general algorithm is given for computing the required meta-nodes and the associated arcs. The proposed meta-graphs provide an overestimation of the possible flows between the different meta-nodes. The computation of the possible violations within the allowed dynamic policies is thus allowed.Several concrete security properties are considered using regular expressions for identifying the requested meta-contexts. The resulting violations, within the allowed meta-graphs, are computed and real violations are presented.
Broadcasting Clouds Masks and Snow Areas Detected in MedioGrid to Mobile Devices
Authors: Ciprian Bortos, Mihaela Ordean, Gheorghe Cosmin Silaghi
Venue: Proceedings of the 2008 10th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (2008)

Satellite image processing and meteorological informationextraction become of great importance in the spatialanalysis. MedioGrid project develops such algorithms andtools and delivers information in real-time with the support of grid computing. This paper presents an extension to MedioGrid in order to facilitate localized information dissemination on mobile devices.
Joint morphological-lexical language modeling for machine translation
Authors: Ruhi Sarikaya, Yonggang Deng
Venue: Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers on XX (2007)

We present a joint morphological-lexical language model (JMLLM) for use in statistical machine translation (SMT) of language pairs where one or both of the languages are morphologically rich. The proposed JMLLM takes advantage of the rich morphology to reduce the Out-Of-Vocabulary (OOV) rate, while keeping the predictive power of the whole words. It also allows incorporation of additional available semantic, syntactic and linguistic information about the morphemes and words into the language model. Preliminary experiments with an English to Dialectal-Arabic SMT system demonstrate improved translation performance over trigram based baseline language model.
Agreement and disputes in dialogue
Authors: Alex Lascarides, Nicholas Asher
Venue: Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue (2008)

In this paper we define agreement in terms of shared public commitments, and implicit agreement is conditioned on the semantics of the relational speech acts (e.g., Narration, Explanation) that each agent performs. We provide a consistent interpretation of disputes, and updating a logical form with the current utterance always involves extending it and not revising it, even if the current utterance denies earlier content.
A Spatial Decision Support System for Citrus Management A Case Study of the Three Gorges Area of China
Authors: Wei Wu, Hongbin Liu, Henglin Dai, Wei Li, Pengshou Sun
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 01 (2009)

Geographic information system technology has been applied to manage and analyze the citrus production information in the Three Gorges area of China. Massive information related to citrus production management including spatial and non-spatial data are collected from different sources. Taking account of the demands of different end users, the data sets are organized at three scales, i.e. municipality, county and orchard levels. Three geodatabases are created to store and integrate digital data sets in heterogeneous formats. Finally, a user-friendly interface spatial decision support system is developed based on the object-oriented Visual Basic 6.0 and ArcGIS Engine. The architecture of data organization and management developed in this project can be readily transplanted to other locations.
LabVIEW Based Simulation System for the Output Characteristics of PV Cells and the Influence of Internal Resistance on It
Authors: Gang Yang, Ming Chen
Venue: Proceedings of the 2009 WASE International Conference on Information Engineering - Volume 01 (2009)

By using LabVIEW as software, a model of solar cells based on its output characteristic is built. The output characteristics of silicon solar cells and the maximum power point tracking system are simulated under different solar radiations. The influence of the internal resistance to the maximum power point and the fill factor of silicon solar cells are also simulated. The simulation results verify the nonlinear output characteristic of silicon solar cell and the system is proved to be very effective in determining the most appropriate load to stabilize the maximum power point of the cell. It is also proved by the results that the internal resistance is a key factor to the maximum power point and the fill factor of solar cells.
Impact of Force Feedback on Computer Aided Ergonomic Analyses
Authors: H. Onan Demirel, Vincent G. Duffy
Venue: Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009 (2009)

The objective of this study is to test the correlation between a Physical Task and a Digital Task through integrated sensory feedback mechanism in Virtual Build Methodology. The research question posed regards whether the pressure feedback mechanism in Virtual Build Methodology proposes high fidelity for push-pull tasks. There are many research studies that have been done on DHM, MOCAP, VR and Haptic interfaces individually, but integrating those with a tactile feedback mechanism is still challenging. While being increasingly used, the Virtual Build Methodology has not been studied regarding its human integration through a multi-sensory feedback system. It may seem intuitive, but disregarded many times, that the tactile feedback mechanism is essential for product design and development practices. This study aims to fill this gap by introducing a pressure based sensory feedback system to provide a higher fidelity in virtual product design practices.