ppxscal/embedding_network huggingface dataset:
Mining in a mobile environment
Authors: Sean McRoskey, James Notwell, Nitesh V. Chawla, Christian Poellabauer
Venue: Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data (2009)

Distributed PRocessing in Mobile Environments (DPRiME) is a framework for processing large data sets across an ad-hoc network. Developed to address the shortcomings of Google's MapReduce outside of a fully-connected network, DPRiME separates nodes on the network into a master and workers; the master distributes sections of the data to available one-hop workers to process in parallel. Upon returning results to its master, a worker is assigned an unfinished task. Five data mining classifiers were implemented to process the data: decision trees, k-means, k-nearest neighbor, Na&iuml;ve Bayes, and artificial neural networks. Ensembles were used so the classification tasks could be performed in parallel. This framework is well-suited for many tasks because it handles communications, node movement, node failure, packet loss, data partitioning, and result collection automatically. Therefore, DPRiME allows users with little knowledge of networking or distributed systems to harness the processing power of an entire network of single- and multi-hop nodes.
The Application of Control Technology Based on Serial Port Communication
Authors: Junjie Zhang, Wei Wei
Venue: Proceedings of the 2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009) (2009)

In this article date glove and mechanical arm are connected by RS-232 serial port line, so mechanical arm and date glove are very critical in the date transmission among computers. Under windows serial port communication can be realized in the two methods below: making use of ActiveX control and API communication function. In this passage the advantages and shortcomings of the realization of the two methods will be compared, and the method which is the most suitable for this article will be chosen, and the mechanical arm control program will be developed.
Using Lateral Coupled Snakes for Modeling the Contours of Worms
Authors: Qing Wang, Olaf Ronneberger, Ekkehard Schulze, Ralf Baumeister, Hans Burkhardt
Venue: Proceedings of the 31st DAGM Symposium on Pattern Recognition (2009)

A model called lateral coupled snakes is proposed to describe the contours of moving C. elegans worms on 2D images with high accuracy. The model comprises two curves with point correspondence between them. The line linking a corresponding pair is approximately perpendicular to the curves at the two points, which is ensured by shear restoring forces. Experimental proofs reveal that the model is a promising tool for locating and segmenting worms or objects with similar shapes.
Development of a Dehydration Sensor Integrated on Fabric
Authors: G. Marchand, A. Bourgerette, M. Antonakios, V. Rat, N. David, F. Vinet, R. Guillemaud
Venue: Proceedings of the 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks (2009)

The dehydration of emergency disaster personnel can lead to severe physiological consequences being able to go until death. The follow-up of the sodium ions concentration in the sweat allows to evaluate this dehydration state in real time by a non invasive method and to react quickly in the case of such an dehydration event. This paper deals with the development of an Ionic Selective Electrode sensor and its transfer on fabrics. The performances were evaluated in terms of sensitivity, selectivity and reproducibility firstly in model solution and then in natural sweat. A portable electronic board connected to the sensing part is described too. This board drives the electrochemical and temperature sensors for analog acquisition and converts measurement data to digital value. Signal processing is implemented on the electronic board in order to correct raw data (gain, offset) and to convert them to ion concentrations.
Real-Time Map Building for Path Planning of a Humanoid Robot
Authors: Zhang Tong, Nan-Feng Xiao
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 01 (2009)

In order that the humanoid robot can walk freely in the real world, include walking up and down stairs, climbing over small obstacle, we proposed a method for building a grid map of the robot’s surroundings. Each grid in the map is flagged with floor or obstacle and contains a value telling the height of the floor or obstacle. At first we use sensor data build and update 3D Occupancy grid and Floor grid. Then the map for navigation is built under the combination of two grids. We verified our approach on the platform of simulation and the result testified that the method is able to generate the map for path planning and collision avoidance.
Secure M2M service space in residential home
Authors: Juhani Latvakoski, Tomi Hautakoski, Teemu Väisänen, Jyri Toivonen, Arto Lappalainen, Timo Aarnipuro
Venue: Proceedings of the Fourth International ICST Conference on COMmunication System softWAre and middlewaRE (2009)

The motivation for this research arises from the explosion in the numbers of embedded devices in residential home environments, and their novel capabilities to connect with the Internet. As contributions, an experimental private machine-to-machine (M2M) service space environment for automation in residential home is provided. The novel solutions for the M2M architecture are provided to enable dynamic application of a secure communication overlay, smooth configuration and service discovery. The available M2M services connected with the secure overlay are smoothly visualized in a user interface of the private M2M service space. The achieved results indicate that the provided enablers for the M2M architecture, dynamic service configuration and discovery works quite well in dynamic distributed home environment. The secure network overlay offered high level security with the aid of cryptographic identifiers.
A design framework for metaheuristics
Authors: Colin G. Johnson
Venue: Artificial Intelligence Review (2008)

This paper is concerned with taking an engineering approach towards the application of metaheuristic problem solving methods, i.e., heuristics that aim to solve a wide variety of problems. How can a practitioner solve a problem using metaheuristic methods? What choices do they have, and how are these choices influenced by the problem at hand? Are there sensible universal choices which can be made, or are these choices always problem-dependent? The aim of this paper is to address questions such as these in the context of a (soft) engineering design framework for the application of metaheuristics. The aim of this framework is to make explicit the choices which a practitioner needs to make in applying these techniques, and to give some guidelines for how metaheuristics might be tuned to problems by considering different problem- and solution-types.
An Integration and Analysis Pipeline for Systems Biology in Crop Plant Metabolism
Authors: Stephan Weise, Christian Colmsee, Eva Grafahrend-Belau, Björn Junker, Christian Klukas, Matthias Lange, Uwe Scholz, Falk Schreiber
Venue: Proceedings of the 6th International Workshop on Data Integration in the Life Sciences (2009)

To advance the comprehension of complex biological processes occurring in crop plants (e.g. for improvement of growth or yield) it is of high interest to reconstruct and analyse detailed metabolic models. Therefore, we established a pipeline combining software tools for (1) storage of metabolic pathway data and reconstruction of crop plant metabolic models, (2) simulation and analysis of stoichiometric and kinetic models and (3) visualisation of data generated with these models. The applicability of the approach is demonstrated by a case study of cereal seed metabolism.
Study on Slewing Control System for the 7500T Full Revolving Floating Crane
Authors: Shilong Xue, Yijian Liu
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 01 (2009)

The full revolving floating crane is one of the most key equipment in the large floating ocean engineering ship. With the highly speed development of ocean oil, it was need rapidly. In this paper, the7500T large full revolving floating crane was regarded as the study object, and the field-bus technology T-LINK, MICREX-SX series PLC and Inverter VG7S was adopted to build slewing control system. T-LINK network for control system was introduced. The slewing control programs such as control logic, interlock logic and electric protection had been worked out, which makes it possible to monitor and control the large floating crane effectively.
A new approach for adaptive blind equalization of chaotic communication: The optimal linearization technique
Authors: J. S. H. Tsai, F. -C. Lu, R. S. Provence, L. S. Shieh, Z. Han
Venue: Computers Mathematics with Applications (2009)

Together with the optimal linearization technique, a blind-channel equalization for the extended-Kalman-filter-based chaotic communication is proposed in this paper. First, the optimal linearization technique is utilized to find the exact linear models of the chaotic system at operating states of interest. The proposed blind-channel equalization is formulated as a mixed nonlinear parameter and state estimation problem by an autoregressive (AR) model. The channel coefficients of a fading and multipath channel can be represented by an AR process. Then, an extended Kalman filter algorithm is utilized to reduce the effect of channel noise. By using the extended Kalman filter, the channel coefficients and the state of the system, which is the signal before going through the channel, can be estimated. The stability problem of the proposed blind-channel equalization is also addressed. Numerical examples and simulations are given to show the effectiveness and speed of convergence for the proposed methodology.
Strengthening Web Based Learning through Software Quality Analysis
Authors: Juan Manuel Montero, Ruben San Segundo, Ricardo Cordoba, Amparo Marin Barcena, Alexander Zlotnik
Venue: Proceedings of the 8th International Conference on Advances in Web Based Learning (2009)

The Web is changing the way people access exchange information. Specifically in the teaching learning environment, we are witnessing that the traditional model of presence based magisterial classes is shifting towards Web Based Learning. This new model draws on remote access systems, knowledge sharing, and student mobility. In this context, pedagogical strategies are also changing, and for instance, Project- Based Learning (PBL) is seen as a potential driver for growth and development in this arena. This study is focused on a PBL oriented course with a Distributed Remote ACcess (DRAC) system. The objective is to analyze how quantitative methods can be leveraged to design and evaluate automatic diagnosis and feedback tools to assist students on quality-related pedagogical issues in DRAC enabled PBL courses. Main conclusions derived from this study are correlation-based and reveal that the development of automatic quality assessment and feedback requires further research.
Confidence intervals for median survival time with recurrent event data
Authors: Juan R. Gonzalez, Edsel A. Peña, Pedro Delicado
Venue: Computational Statistics Data Analysis (2010)

Several methods of constructing confidence intervals for the median survival time of a recurrent event data are developed. One of them is based on asymptotic variances estimated using some transformations. Others are based on bootstrap techniques. Two types of recurrent event models are considered: the first one is a model where the inter-event times are independent and identically distributed, and the second one is a model where the inter-event times are associated, with the association arising from a gamma frailty model. Bootstrap and asymptotic confidence intervals are studied through simulation. These methods are applied and compared using two real data sets arising in the biomedical and public health settings, using an available R package. The first example belongs to data from a study concerning small bowel motility where an independent model may be assumed. The second example involves hospital readmissions in patients diagnosed with colorectal cancer. In this example the interoccurrence times are correlated.
A mixed inspection policy for CSP-1 and precise inspection under inspection errors and return cost
Authors: Hong-Fwu Yu, Wen-Ching Yu, Wen Ping Wu
Venue: Computers and Industrial Engineering (2009)

This paper is to deal with a mixed policy between precise inspection and CSP-1 with inspection errors (Types I and II) and return cost. First, the concept of a renewal reward process is employed to obtain the long-term net profit of the mixed inspection policy. Then, with respect to non-repairable and repairable products, we determine the following four decision variables such that the unit net profit is maximal: (1) the optimal clearance number, (2) the optimal sampling frequency, and (3) the proportions which should be taken precise inspection for the non-inspected items in the procedure of CSP-1 and the non-defectives identified by CSP-1. Overall, the analytical results indicate that depending on seven parameters (Type I error, Type II error, the selling price of an item, the unit repair cost, the unit return cost, the unit cost of precise inspection, and the process defective fraction), there are three possible optimal inspection policies for CSP-1: ''Do not inspect'', ''Do 100% inspection'', or any setting for (i,s); for both of the non-defectives identified in CSP-1 and the non-inspected items, there are three possible proportions which should be performed a precise inspection: all, none, or any proportion.
Does tagging help parsing?: a case study on finite state parsing
Authors: Atro Voutilainen
Venue: Proceedings of the International Workshop on Finite State Methods in Natural Language Processing (1998)

The usefulness of POS taggers for syntactic parsing is a question little addressed in the literature. Because taggers reduce ambiguity from the parser's input, parsing is commonly supposed to become faster, and the result less ambiguous. On the other hand, tagging errors probably reduce the parser's recognition rate, so this drawback may outweigh the possible advantages. This paper empirically investigates these issues using two different rule-based morphological disambiguators as preprocessor of a wide-coverage finite-state parser of English. With these rule-based taggers, the parser's output becomes less ambiguous without a considerable penalty to recognition rate. Parsing speed increases slightly, not decisively.
A structured vector space model for word meaning in context
Authors: Katrin Erk, Sebastian Padó
Venue: Proceedings of the Conference on Empirical Methods in Natural Language Processing (2008)

We address the task of computing vector space representations for the meaning of word occurrences, which can vary widely according to context. This task is a crucial step towards a robust, vector-based compositional account of sentence meaning. We argue that existing models for this task do not take syntactic structure sufficiently into account. We present a novel structured vector space model that addresses these issues by incorporating the selectional preferences for words' argument positions. This makes it possible to integrate syntax into the computation of word meaning in context. In addition, the model performs at and above the state of the art for modeling the contextual adequacy of paraphrases.
Virtual and Augmented Reality Tools for Teleoperation: Improving Distant Immersion and Perception
Authors: Nicolas Mollet, Ryad Chellali, Luca Brayda
Venue: Transactions on Edutainment II (2009)

This paper reports on the development of a collaborative system enabling to tele-operate groups of robots. The general aim is to allow a group of tele-operators to share the control of robots. This system enables the joint team of operators and robots to achieve complex tasks such as inspecting an area or exploring unknown parts of an unknown environment.Thanks to virtual and augmented reality techniques, a Virtual and Augmented Collaborative Environment (VACE) is built. This last supports a N*M*K scheme: N 1;N tele-operators control M 1;M robots at K 1;K abstraction levels. Indeed, our VACE allows to N people to control any robot at different abstraction's levels (from individual actuator's control K = 1 to final status specification K = 3). On the other hand, the VACE enables to build synthetic representations of the robots and their world. Robots may appear to tele-operators as individuals or reduced to a single virtual entity.We present in this paper an overview of this system and an application, namely a museum visit. We show how visitors can control robots and improve their immersion using a head-tracking system combined with a VR helmet to control the active vision systems on the remote mobile robots. We also introduce the ability to control the remote robots configuration, at a group level. We finally show how Augmented and Virtual Reality add-ons are included to ease the execution of remote tasks.
Proceedings of the Eighth Meeting of the ACL Special Interest Group on Computational Phonology and Morphology
Venue: ACL Workshops (2006)

We are pleased to present the Proceedings of the Eighth Meeting of the ACL Special Interest Group on Computational Phonology (SIGPHON) to be held on June 8 in New York City. This is the first time that the SIGPHON workshop has been collocated with the HLT-NAACL conference. Previous meetings were held in conjunction with ACL and COLING in Las Cruces (1994), Santa Cruz (1996), Madrid (1997), Quebec (1998), Luxembourg (2000), Philadelphia (2002), and Barcelona (2004). One of the missions of SIGPHON is to encourage interaction between work in computational linguistics and work in theoretical phonology, in the hope that both fields will profit from the interaction. In addition, SIGPHON continues to promote work in computational morphology, seeking to fill in for the absence of an analogous SIGMORPH group. Our recent meetings have been successful in both regards, and we anticipate this will continue in 2006. Many mainstream phonologists are employing computational tools and models that are of considerable interest to computational linguists more generally, and our intention is that this workshop should be a forum to bring this work to the attention of a wider range of computational linguists.
Future Personal Health Records as a Foundation for Computational Health
Authors: Robert Steele, Amanda Lo
Venue: Proceedings of the International Conference on Computational Science and Its Applications: Part II (2009)

Personal Health Records (PHRs) and other emerging health information technologies create the potential for the capture and storage of a much greater quantity and quality of health data in the future. PHRs in particular provide a likely more privacy supporting form of electronic health data storage. This paper discusses how new health information technologies can support richer future health record data and how these records can provide a foundation for current and future applications of computational science approaches, supporting what might be called Computational Health.
A Bayesian analysis of dual autoradiographic images
Authors: Timothy D. Johnson, Morand Piert
Venue: Computational Statistics Data Analysis (2009)

We present a Bayesian bivariate image model and apply it to a study that was designed to investigate the relationship between hypoxia and angiogenesis in an animal tumor model. Two radiolabeled tracers (one measuring angiogenesis, the other measuring hypoxia) were simultaneously injected into the animals, the tumors were removed and autoradiographic images of the tracer concentrations were obtained. We model correlation between tracers with a mixture of bivariate normal distributions and the spatial correlation inherent in the images by means of the Potts model. Although the Potts model is typically used for image segmentation, we use it solely as a device to account for spatial correlation. The number of classes in the model is assumed unknown and is estimated via reversible jump MCMC, marginalizing over the number of classes for posterior inference. We present the model and estimation method using set theory notation which will assist us in introducing a novel reallocation scheme used in the reversible jump proposals. We also estimate the spatial regularization parameter in the Potts model prior. Via simulation studies, we show that it is necessary to account for both the spatial correlation and the correlation between the two tracers.
Indoor Domain Model for Dialogue Systems
Authors: Porfírio Filipe, Nuno Mamede
Venue: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Part III: Applications and Services (2009)

The design of spoken language applications that allow people to talk with machines/computers, in the same way that they talk with each other, is materialized as a Spoken Dialogue System (SDS). This paper presents a knowledge modeling approach to allow spontaneous configuration of SDS. Our approach focus on the representation and management of the domain knowledge that is aggregated at runtime and aims to update the dialogue management strategy. To do so, one developed an autonomous Environment Interaction Manager (EIM). When working on the indoor environment, the domain knowledge reflects the plan of the building and the SDS controllable resources. The building is modeled as a dynamic aggregation "part-whole" of controllable resources. Each resource owns and shares a semantic interface that makes available its task set manipulated by the SDS. These ideas have been applied with success in our lab, modeling the semantic interface aggregation under the semantic web vision.
An On-Line Parallel Algorithm for Node Ranking of Trees
Authors: Chia-Wei Lee, Justie Su-Tzu Juan, Tai-Lung Wu
Venue: Proceedings of the 9th International Conference on Algorithms and Architectures for Parallel Processing (2009)

A node ranking of a graph G = (V, E) is a proper node coloring C: V ¿¿ such that any path in G with end nodes x, y fulfilling C(x) = C(y) contains an internal node z with C(z) > C(x). In the on-line version of the node ranking problem, the nodes v 1, v 2,..., v n are coming one by one in an arbitrary order; and only the edges of the induced subgraph G[{v 1, v 2,..., v i }] are known when the color for the node v i be chosen. And the assigned color can not be changed later. In this paper, we present a parallel algorithm to find an on-line node ranking for general tree. Our parallel algorithm needs O(nlog2 n ) time with using O(n 3 / log2 n) processors on CREW PRAM model.
Parsimonious Identification of Physiological Indices for Monitoring Cognitive Fatigue
Authors: Lance J. Myers, J. Hunter Downs
Venue: Proceedings of the 5th International Conference on Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience: Held as Part of HCI International 2009 (2009)

The objective of this study was to identify a parsimonious set of physiological measures that could be used to best predict cognitive fatigue levels. A 37 hour sleep deprivation study was conducted to induce reduced levels of alertness and cognitive impairment as measured by a psychomotor vigilance test. Non-invasive, wearable and ambulatory sensors were used to acquire cardio-respiratory and motion data during the sleep deprivation. Subsequently 23 potential predictors were derived from the raw sensor data. The least absolute shrinkage and selection operator, along with a cross validation strategy was used to create a sparse model and identify a minimum predictor subset that provided the best prediction accuracy. Final predictor selection was found to vary with task and context. Depending on context selected predictors indicated elevated levels of sympathetic nervous system activity, increased restlessness during engaging tasks and increased cardio-respiratory synchronization with increasing cognitive fatigue.