ppxscal/embedding_network huggingface dataset:
Point and Control: The Intuitive Method to Control Multi-device with Single Remote Control
Authors: Sung Soo Hong, Ju Il Eom
Venue: Proceedings of the 13th International Conference on Human-Computer Interaction. Part III: Ubiquitous and Intelligent Interaction (2009)

Remote controls are mainly used to control most of the CE devices in home environment these days. As the number of electronic devices increases in home, each device's corresponding remote may also be added, and user frequently controls several devices at one time. This situation makes a user feel difficulty in finding desired remote control among many of other controllers. To alleviate this inconvenience, a technique for controlling multiple electronic devices with a single remote, well-known as a universal remote control technique, has attracted attention. Generally, when a user uses the universal remote control, she must input a key code of a desired device. If a user were to control several devices interchangeably, she may hang out pushing the key code for one device after the other. This kind of maneuver can be very tiresome, and it may lead to dropping the usability drastically. This paper propose the hardware, and software structure of Point and Control (PAC), which uses the metaphor of pointing a objective target, to select the device user intend to control. By using PAC, users can easily select and control the target device among many of candidates in real time with just simple behavior.
Automated and Holistic Design of Intelligent and Distributed Integrated Sensor Systems with Self-x Properties for Applications in Vision, Robotics, Smart Environments, and Culinary Assistance Systems
Authors: Andreas König
Venue: Advances in Neuro-Information Processing: 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part II (2009)

The ongoing advance in micro technologies gives rise to increasingly versatile and capable sensors as well as unprecedented computational power and communication options in diminishing scale. The notion of smart dust summarizes ubiquitous computing and sensing application systems, which can serve for local as well as global information acquisition and decision making. For off-the-shelf-nodes, and even more for dedicated physical designs, the system design process becomes increasingly challenging and potentially intractable. Automated design methods emerging for intelligent systems are introduced as a remedy. These considerations will be extended to variations, that multiple system instances have to face in real-world applications and potential compensation by incorporation of self-x properties. These concepts are elucidated for the case of reconfigurable and evolvable sensor electronics. Finally, an application perspective of the presented approach for integrated distributed sensing in home automation, assisted living, and in particular, smart kitchen applications, denoted as culinary assistance systems will be presented.
Feature engineering and post-processing for temporal expression recognition using conditional random fields
Authors: Sisay Fissaha Adafre, Maarten de Rijke
Venue: Proceedings of the ACL Workshop on Feature Engineering for Machine Learning in Natural Language Processing (2005)

We present the results of feature engineering and post-processing experiments conducted on a temporal expression recognition task. The former explores the use of different kinds of tagging schemes and of exploiting a list of core temporal expressions during training. The latter is concerned with the use of this list for post-processing the output of a system based on conditional random fields. We find that the incorporation of knowledge sources both for training and post-processing improves recall, while the use of extended tagging schemes may help to offset the (mildly) negative impact on precision. Each of these approaches addresses a different aspect of the overall recognition performance. Taken separately, the impact on the overall performance is low, but by combining the approaches we achieve both high precision and high recall scores.
Investigation and Application of Extension Data Mining in Subdivisions of Telecommunication Enterprise Brands
Authors: Tang Zhi-hang, Yang Bao-an
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 01 (2009)

The advanced management idea of "Take the customer as the center" manifests fully in the customer segmentation. Customer segmentation may meet customer need at whole hog enable the enterprise to achieve the maximal profit. Extension data mining is an advanced effective data analysis method. Its Application to enterprise brands segmentation will help the enterprises to gain their ends on the best way. Finally, how to tap new customers and how to recommend an appropriate brand to new customers, Research result indicates that extension data mining can provide effective decide support for the Decision-making of enterprise.
A Paralleled Large-Scale Astronomical Cross-Matching Function
Authors: Qing Zhao, Jizhou Sun, Ce Yu, Chenzhou Cui, Liqiang Lv, Jian Xiao
Venue: Proceedings of the 9th International Conference on Algorithms and Architectures for Parallel Processing (2009)

Multi-wavelength data cross-match among multiple catalogs is a basic and unavoidable step to make distributed digital archives accessible and interoperable. As current catalogs often contain millions or billions objects, it is a typical data-intensive computation problem. In this paper, a high-efficient parallel approach of astronomical cross-match is introduced. We issue our partitioning and parallelization approach, after that we address some problems introduced by task partition and give the solutions correspondingly, including a sky splitting function HEALPix we selected which play a key role on both the task partitioning and the database indexing, and a quick bit-operation algorithm we advanced to resolve the block-edge problem. Our experiments prove that the function has a marked performance superiority comparing with the previous functions and is fully applicable to large-scale cross-match.
ROG --- A Paradigmatic Morphological Generator for Romanian
Authors: Elena Irimia
Venue: Human Language Technology. Challenges of the Information Society: Third Language and Technology Conference, LTC 2007, Poznan, Poland, October 5-7, 2007, Revised Selected Papers (2009)

We describe here the process of implementing a morphological generator for Romanian, together with references to the resources and previous work that made this achievement possible. The generator receives a lemma and a morpho-lexical description of the intended word-form and it is supposed to generate that very word-form. It uses a paradigmatic description of Romanian morphology and a large dictionary of lemmas associated with their inflectional paradigms. The work is motivated by an ongoing example-based machine translation system and by its utility in extending the lexical resources created in our group. The generation process distinguishes two major situations, depending on the lemma being recorded or not into the generator's dictionary. In the first case, the generated inflected form is guaranteed to be a real word of Romanian language while in the second case the inflected form might be a potential but not extant word of Romanian.
A New Architecture Model of Mobile Database Based on Agent
Authors: Jing Li, Jianhua Wang
Venue: Proceedings of the 2009 First International Workshop on Database Technology and Applications (2009)

In mobile database systems, new features such as mobility, disconnection, heterogeneity, self-command and distribution make traditional transaction processing schemes such as query processing technology, transaction management technology and data distribution technology no longer suited. To solve this problem, a new mobile database model based on agent was proposed. And transaction processing process based on this model was set forth. The model can shield the heterogeneous among all members, and made them transparent so as to bring great conveniences to the entering of heterogeneous members. The introduction of mobile agent contributes to decomposition of long-lived transaction, as to complete query optimization of mobile database.
Batch Binary Edwards
Authors: Daniel J. Bernstein
Venue: Proceedings of the 29th Annual International Cryptology Conference on Advances in Cryptology (2009)

This paper sets new software speed records for high-security Diffie-Hellman computations, specifically 251-bit elliptic-curve variable-base-point scalar multiplication. In one second of computation on a $200 Core 2 Quad Q6600 CPU, this paper's software performs 30000 251-bit scalar multiplications on the binary Edwards curve d(x + x 2 + y + y 2) = (x + x 2)(y + y 2) over the field ${\bf F}_2[t]/(t^{251}+t^7+t^4+t^2+1)$ where d = t 57 + t 54 + t 44 + 1. The paper's field-arithmetic techniques can be applied in much more generality but have a particularly efficient interaction with the completeness of addition formulas for binary Edwards curves.
Gem #52: scripting capabilities in GNAT (Part 1)
Authors: Emmanuel Briot
Venue: ACM SIGAda Ada Letters (2009)

Ada Gem #52 -- Programming languages are, at least in the mind of most programmers, divided into two categories: scripting languages and others. The dividing line is not always obvious, and generally has to do with the size of the application, whether the language is interpreted or compiled, and whether doing operations such as manipulating external processes is easy. It's safe to say, though, that Ada is almost never classified as a scripting language. This Gem demonstrates a few of the packages that are part of the GNAT distribution and that provide helpful scripting features to accomplish tasks that would often be thought to be in the domain of languages specialized for scripting. Portability is of course a major advantage of choosing Ada!
eParticipation: The Research Gaps
Authors: Ann Macintosh, Stephen Coleman, Agnes Schneeberger
Venue: Proceedings of the 1st International Conference on Electronic Participation (2009)

eParticipation is a challenging research domain comprising a large number of academic disciplines and existing in a complex social and political environment. In this paper we identify eParticipation research needs and barriers and in so doing indicate future research direction. We do this by first setting the context for eParticipation research. We then consider the current situation and analyse the challenges facing future research. The future research direction was identified through conducting workshops and analysing published papers. The results are six main research challenges: breadth of research field; research design; technology design; institutional resistance; equity, and theory. These six challenges are described in detail along with the research direction to address them.
A Parameter Intelligent Recognition Method and Numerical Simulation of Large Underground Caverns
Authors: Quan Jiang, Xiating Feng, Tianbing Xiang, Xiangbing Wan
Venue: Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 01 (2009)

To gain the equivalent mechanical parameter of rock in underground engineering and to improve the precision of numerical simulation of excavation, a new multi-information intelligent recognition method of rock mechanical parameter is put forward. By coupling artificial neural network and genetic algorithm as a whole algorithm and by building an associated fitness function to absorb multi-information, a combinatorial intelligent optimization method is available for parameter recognition. The method realizes the global optimization efficiently and improves the uniqueness of searched parameter as far as possible. After recognizing the equivalent mechanical parameters of rock in Jinping II underground caverns by above method, the performance of surround rock in construction is calculated by 3D numerical simulation with the characters of 1168 thousand elements and 234 gridpoints. The practical application indicates that the intelligent method is reliable to analyze and predict the safety of underground engineering.
A fundamental scalability criterion for data aggregation in VANETs
Authors: Björn Scheuermann, Christian Lochert, Jedrzej Rybicki, Martin Mauve
Venue: Proceedings of the 15th annual international conference on Mobile computing and networking (2009)

The distribution of dynamic information from many sources to many destinations is a key challenge for VANET applications such as cooperative traffic information management or decentralized parking guidance systems. In order for these systems to remain scalable it has been proposed to aggregate the information within the network as it travels from the sources to the destinations. However, so far it has remained unclear by what amount the aggregation scheme needs to reduce the original data in order to be considered scalable. In this paper we prove formally that any suitable aggregation scheme must reduce the bandwidth at which information about an area at distance d is provided to the cars asymptotically faster than 1/d2. Furthermore, we constructively show that this bound is tight: for any arbitrary ε>0, there exists a scalable aggregation scheme that reduces information asymptotically like 1/d(2+ε).
Improving the design and impact of interactive, dynamic visualizations for science learning
Authors: Marcia C. Linn, Chris Quintana, Hsin-Yi Chang, Ji Shen, Jennifer L. Chiu, Douglas Clark, Muhsin Menekse, Cynthia D'Angelo, Sharon Schleigh, Stephanie Touchman, Kevin W. McElhaney, Keisha Varma, Aaron Price, Hee-Sun Lee
Venue: Proceedings of the 8th international conference on International conference for the learning sciences - Volume 3 (2008)

This interactive poster session features seven research groups exploring how interactive, dynamic visualizations impact student learning. Six empirical studies report on promising designs for visualizations. These studies use logs of student interactions and embedded assessments to document the quality and trajectory of learning and to capture the cognitive and social processes mediated by the visualization. The review synthesizes previous and current empirical work. It offers design guidelines, principles, patterns, and examples to inform those designing interactive, dynamic visualization and aligned learning support. These posters show why dynamic visualizations are both difficult to design and valuable for science instruction.
Fuzzy-PID Control for the Regulation of Blood Glucose in Diabetes
Authors: Chengwei Li, Ruiqiang Hu
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 02 (2009)

The method of insulin injection is studied by many researchers. The optimal injection method can make the blood glucose concentration of diabetic patient steadily and reduce the various complications. In this paper, we propose two control algorithms, a fuzzy-PID control and a classical PID control method for the insulin injection. The computer simulations are done using a mathematical model of the dynamics of blood glucose regulation in the blood system developed by Bergman et al. The simulation is performed to manifest the theoretical analysis. The development reported in this paper is expected to simplify the insulin delivery, thereby enhancing the quality of life of the patient.
Analysis of Heart Rate Variability with an In-Ear Micro-Optic Sensor in View of Motion Artifacts
Authors: T. Wartzek, S. Vogel, T. Hennig, O. Brodersen, M. Hulsbusch, M. Herzog, S. Leonhardt
Venue: Proceedings of the 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks (2009)

The variability of the heart rate has emerged to a popular marker for the overall condition of the circulatory system. In this paper, a novel approach for determining the heart rate by pulseoxymetric measurements inside the ear (IN-MONIT) is presented. Pulse signals from the auditory canal are mainly influenced by jaw motions. This influence can complicate the precise determination of the pulse rate and may yield lacks in the derivated tachograms. Therefore, the correlation properties of heart beat intervals and the influence of possible lacks in the tachograms on the outcome of the analysis are studied. It is shown that the usage of advanced methods of statistical time series analysis (e.g. Lomb-periodograms) is suitable in order to analyse signals without further complex filter designs. Together with this mathematical approach, the IN-MONIT system offers the opportunity to perform a 24/7 monitoring without disturbing the normal life of the monitored subject.
Research on Distributed Data Mining in E-commerce Environment Based on Web Services and Mobile Agent
Authors: Jinbiao Hou
Venue: Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 01 (2009)

Modern e-commerce is vigorously developing. It makes the resources and services on Internet more richly colorful. Every day these rich resources and services can produce many new mass data which contain a large number of important information. These data are often heterogeneous, uncertain and unstructured. Their complexity has far exceeded the analysis and understanding ability which the humanity has at present. In order to resolve the problem, related technologies of distributed data mining in e-commerce environment are studied. Web services technology and agent technology are introduced in the e-commerce data mining. The distributed data mining structure in e-commerce environment based on Web services and mobile agent is put forward.
Ultrametric Watersheds
Authors: Laurent Najman
Venue: Proceedings of the 9th International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing (2009)

We study hierachical segmentation in the framework of edge-weighted graphs. We define ultrametric watersheds as topological watersheds null on the minima. We prove that there exists a bijection between the set of ultrametric watersheds and the set of hierarchical edge-segmentations.
The Characterization of Orthogonal Matrix-valued Multivariable Wavelet Packets Associated with an Integer-valued Dilation Matrix
Authors: Deyou Yuan
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 02 (2009)

The notion of matrix-valued multiresolution analysis of space of matrix-valued higher-dimensional functions is introduced. An approach for constructing orthogonal matrix-valued higher-dimensional wavelet packets is presented and their properties are discussed by means of time-frequency analysis method, matrix theory and functionalanalysis method. Three orthogonality formulas concerning these wavelet packets are obtained. Finally, one new orthonormal bases of L^2(R^d,C^{r\times r}) are obtained by constructing a series of subspaces of orthogonal matrix-valued wavelet packets.
Orwell's Nightmare for Agents? Programming Multi-agent Organisations
Authors: Nick A. Tinnemeier, Mehdi Dastani, John-Jules Ch. Meyer
Venue: Programming Multi-Agent Systems: 6th International Workshop, ProMAS 2008, Estoril, Portugal, May 13, 2008. Revised Invited and Selected Papers (2009)

This paper presents a programming language that is designed to implement multi-agent organisations. These organisations are developed as separate entities regulating the behaviour of individual agents that interact with the organisation. The focus is on the normative aspect of organisations that are specified in terms of norms being enforced by monitoring, regimenting and sanctioning mechanisms.
Automatic short answer marking
Authors: Stephen G. Pulman, Jana Z. Sukkarieh
Venue: Proceedings of the second workshop on Building Educational Applications Using NLP (2005)

Our aim is to investigate computational linguistics (CL) techniques in marking short free text responses automatically. Successful automatic marking of free text answers would seem to presuppose an advanced level of performance in automated natural language understanding. However, recent advances in CL techniques have opened up the possibility of being able to automate the marking of free text responses typed into a computer without having to create systems that fully understand the answers. This paper describes some of the techniques we have tried so far vis-&agrave;-vis this problem with results, discussion and description of the main issues encountered.1
A High-Level Haptic Interface for Enhanced Interaction within VirtoolsTM
Authors: Matthieu Poyade, Arcadio Reyes-Lecuona, Simo-Pekka Leino, Sauli Kiviranta, Raquel Viciana-Abad, Salla Lind
Venue: Proceedings of the 3rd International Conference on Virtual and Mixed Reality: Held as Part of HCI International 2009 (2009)

Haptics is the outstanding technology to provide tri-dimensional interaction within Virtual Environments (VE). Nevertheless, many software solutions are not fully prepared to support Haptics. This paper presents a user-friendly implementation of Sensable Phantom haptic interfaces onto the interactive VE authoring platform, Virtools 4.0. Haptics implementation was realized using the Haptic Library (HLAPI) from OpenHaptics toolkit 2.0 which provides highly satisfactory custom forces effects. The integration of Phantom interaction at end-user development fulfils logical VE interactive authoring under Virtools. Haptics implementation was qualitatively assessed in a manual maintenance case, a welding task, as a part of the national Finnish project, VIRVO. Manipulation enhancements provided by the integration of Phantom interaction in Virtools suggest many further improvements for more complicated industrial pilot experiments as a part of the European Commission funded project ManuVAR.
Unbiased assessment of learning algorithms
Authors: Tobias Scheffer, Ralf Herbrich
Venue: Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2 (1997)

In order to rank the performance of machine learning algorithms, many researchers conduct experiments on benchmark data sets. Since most learning algorithms have domain-specific parameters, it is a popular custom to adapt these parameters to obtain a minimal error rate on the test set. The same rate is then used to rank the algorithm, which causes an optimistic bias. We quantify this bias, showing, in particular, that an algorithm with more parameters will probably be ranked higher than an equally good algorithm with fewer parameters. We demonstrate this result, showing the number of parameters and trials required in order to pretend to outperform C4.5 or FOIL, respectively, for various benchmark problems. We then describe out how unbiased ranking experiments should be conducted.
Cueing the virtual storyteller: analysis of cue phrase usage in fairy tales
Authors: Manon Penning, Mariët Theune
Venue: Proceedings of the Eleventh European Workshop on Natural Language Generation (2007)

An existing taxonomy of Dutch cue phrases, designed for use in story generation, was validated by analysing cue phrase usage in a corpus of classical fairy tales. The analysis led to some adaptations of the original taxonomy.
Development of an ad hoc measurement station for the human surface electromyography in rest position
Authors: Edoardo Fiorucci, Giovanni Bucci, Annalisa Monaco, Ruggero Cattaneo
Venue: Proceedings of the 2009 IEEE International Workshop on Medical Measurements and Applications (2009)

The study of activities of superficial muscles in rest positions is today an interesting research field for many clinical applications. Evaluation of human surface muscle activity and stress, such as face muscles, is important for the functional study, diagnosis, prosthetic and orthodontic therapy.