ppxscal/embedding_network huggingface dataset:
Aspects in development of statistic data analysis in Romanian sanitary system
Authors: Dana Simian, Corina Simian, Oana Danciu, Lavinia Danciu
Venue: Proceedings of the 10th WSEAS international conference on Mathematics and computers in biology and chemistry (2009)

The aim of this paper is to present a model for the statistical analysis of data in sanitary system from Romania. We establish the factors involved in the evolution of diseases, for appreciating the tendency of evolution of these affections in the following years, in order to create an efficient system of monitoring and prevention. We evaluate software products for their use in analysis of data provided from the Romanian Informational Program in Sanitary System. A practical study for the case of tuberculosis is made.
Learning long-range vision for an offroad robot
Authors: Yann Lecun
Venue:  (2008)

Teaching a robot to perceive and navigate in an unstructured natural world is a difficult task. Without learning, navigation systems are short-range and extremely limited. With learning, the robot can be taught to classify terrain at longer distances, but these classifiers can be fragile as well, leading to extremely conservative planning. A robust, high-level learning-based perception system for a mobile robot needs to continually learn and adapt as it explores new environments. To do this, a strong feature representation is necessary that can encode meaningful, discriminative patterns as well as invariance to irrelevant transformations. A simple realtime classifier can then be trained on those features to predict the traversability of the current terrain. One such method for learning a feature representation is discussed in detail in this work. Dimensionality reduction by learning an invariant mapping (DrLIM) is a weakly supervised method for learning a similarity measure over a domain. Given a set of training samples and their pairwise relationships, which can be arbitrarily defined, DrLIM can be used to learn a function that is invariant to complex transformations of the inputs such as shape distortion and rotation. The main contribution of this work is a self-supervised learning process for long-range vision that is able to accurately classify complex terrain, permitting improved strategic planning. As a mobile robot moves through offroad environments, it learns traversability from a stereo obstacle detector. The learning architecture is composed of a static feature extractor, trained offline for a general yet discriminative feature representation, and an adaptive online classifier. This architecture reduces the effect of concept drift by allowing the online classifier to quickly adapt to very few training samples without overtraining. After experiments with several different learned feature extractors, we conclude that unsupervised or weakly supervised learning methods are necessary for training general feature representations for natural scenes. The process was developed and tested on the LAGR mobile robot as part of a fully autonomous vision-based navigation system.
Concepts in fuzzy logics
Authors: Sylvia Encheva
Venue: Proceedings of the 10th WSEAS international conference on Automation & information (2009)

In this paper we present a method for early identification of students who would have serious difficulties in studying a particular subject due to lack of preliminary knowledge. Methods from formal concept analysis are applied for finding relationships between results from a test on students' preliminary knowledge and the outcome of learning new knowledge within the same subject. Fuzzy logic rules are further incorporated into the process of establishing level of difficulties a student would have while learning new concepts and skills within a particular topic in that subject.
Tangible user interface laboratory: Teaching tangible interaction design in practice
Authors: Orit Shaer, Michael s. Horn, Robert j. k. Jacob
Venue: Artificial Intelligence for Engineering Design, Analysis and Manufacturing (2009)

Tangible interaction is an emerging field of human–computer interaction that links the digital and the physical worlds by embedding computation in physical artifacts and environments. This paper shares our experience teaching tangible interaction over the past 4 years in an interdisciplinary, project-based laboratory course at Tufts University. Although the course is offered through the Computer Science Department, it reflects the multidisciplinary nature of the field, merging product engineering practices with a design studio approach. With a diverse mix of students, this approach has fostered creativity and hands-on learning. Throughout the course students have created innovative interfaces that not only capture fundamental concepts of tangible interaction but also contribute novel techniques for supporting collaborative design. We discuss examples of student-created interfaces and illustrate the relationship between the methods employed in the course and the artifacts created. We also share our recommendations for implementing such a course in institutions with constraints similar to ours including a limited budget and minimal laboratory space.
Interactive anonymization of sensitive data
Authors: Xiaokui Xiao, Guozhang Wang, Johannes Gehrke
Venue: Proceedings of the 35th SIGMOD international conference on Management of data (2009)

There has been much recent work on algorithms for limiting disclosure in data publishing, however they have not been put to use in any toolkit for practicioners. We will demonstrate CAT, the Cornell Anonymization Toolkit, designed for interactive anonymization. CAT has an interface that is easy to use; it guides users through the process of preparing a dataset for publication while limiting disclosure through the identification of records that have high risk under various attacker models.
A high-order integral algorithm for highly singular PDE solutions in Lipschitz domains
Authors: Oscar P. Bruno, Jeffrey S. Ovall, Catalin Turc
Venue: Computing (2009)

We present a new algorithm, based on integral equation formulations, for the solution of constant-coefficient elliptic partial differential equations (PDE) in closed two-dimensional domains with non-smooth boundaries; we focus on cases in which the integral-equation solutions as well as physically meaningful quantities (such as, stresses, electric/magnetic fields, etc.) tend to infinity at singular boundary points (corners). While, for simplicity, we restrict our discussion to integral equations associated with the Neumann problem for the Laplace equation, the proposed methodology applies to integral equations arising from other types of PDEs, including the Helmholtz, Maxwell, and linear elasticity equations. Our numerical results demonstrate excellent convergence as discretizations are refined, even around singular points at which solutions tend to infinity. We demonstrate the efficacy of this algorithm through applications to solution of Neumann problems for the Laplace operator over a variety of domains&#x2014;including domains containing extremely sharp concave and convex corners, with angles as small as &#x03c0;/100 and as large as 199&#x03c0;/100.
Argumentation Using Temporal Knowledge
Authors: Nicholas Mann, Anthony Hunter
Venue: Proceeding of the 2008 conference on Computational Models of Argument: Proceedings of COMMA 2008 (2008)

Proposals for logic-based argumentation have the potential to be adapted for handling diverse kinds of knowledge. In this paper, a calculus for representing temporal knowledge is proposed, and defined in terms of propositional logic. This calculus is then considered with respect to argumentation, where an argument is pair <Φ,α> such that Φ a minimally consistent subset of a database entailing α. Two alternative definitions of an argument are considered and contrasted.
Determining appropriate parameters to elicit linear and circular apparent motion using vibrotactile cues
Authors: Masataka Niwa, Robert W. Lindeman, Yuichi Itoh, Fumio Kishino
Venue: Proceedings of the World Haptics 2009 - Third Joint EuroHaptics conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (2009)

This paper reports on two experiments we conducted to look at how to design effective linear and circular apparent-motion displays. Using a two-tactor array on the upper arm, the first study found that a time interval of greater than 400ms before repeating the directional sequence is required for subjects to achieve 95 % proficiency of direction identification over a range of Duration of Stimulus (DOS) and Stimulus Onset Asynchrony (SOA) values. The second study looked at the number of tactors necessary in a circular tactor array on the upper arm for people to correctly identify the direction of the rotation. We found that subjects could achieve a proficiency approaching 100 % across a large range of DOS and SOA values with four tactors, using a circuit-completion time of 400ms or longer. These findings can be used by interface designers to realize information displays that either stand on their own, or work in combination with visual and/or audio displays.
Reconstruction of nonlinear dynamics of a cracked rotor by time delay and embedding technique
Authors: Alfayo A. Alugongo, Sithebe Thembelani
Venue: Proceedings of the 10th WSEAS international conference on Mathematical methods, computational techniques and intelligent systems (2008)

In this paper, a non-linear model for a cracked rotor is developed based on constitutive equations and local flexibility due to a transverse switching (breathing) crack on a rotor shaft. The crack is characterized by a switching function and change in shaft stiffness, whose variation and value define the closing-opening (breathing) condition of the crack during rotation of the shaft. The model accounts for the rotor shaft weakening parallel and perpendicular to the direction of the crack opening. The system equation bears discontinuity, and its numerical solution exhibits bifurcation and chaos. The model is used to investigate the dynamics of the vibrating rotor system, and the crack force reconstructed by Time delay and Embedding Technique. The crack force manifests the action of the crack on the rotor. The simulated non-linear characteristics could be adopted in condition monitoring of rotors. It is observed that the largest computed Lyapunov exponent of the simulated time series is a good and sufficient indicator of the system's chaotic state. Various scenarios of the system at sub-critical and super-critical speeds have been simulated and discussed.
Micromanipulation system using scanning electron microscope
Authors: Y. Nakazato, T. Yuasa, G. Sekine, H. Miyazawa, M. Jin, S. Takeuchi, Y. Ariga, M. Murakawa
Venue: Microsystem Technologies (2009)

In this study, we aimed to develop a micromechanism in which constituent parts of &#x03bc;m order are used and to establish the handling technology required to achieve this. On the basis of the results of previous studies, we fabricated end effectors driven by a small piece of shape memory alloy (SMA) and succeeded in grasping microobjects on the order of 10&#x2013;40&#x00a0;&#x03bc;m. However, when the size of an object is 10&#x00a0;&#x03bc;m or smaller, because this size is equivalent to the resolution of optical microscopes, it is necessary to improve and change the design of observation technology to manipulate much smaller objects. In this study, an SEM was used as the observation system and the manipulation system was modified to be compatible with this observation system. A manipulation system for grasping much smaller objects was designed and developed.
A critical overview on the recent advances in channel allocation strategies for voice and multimedia services in wireless communication systems and the applicability of computational intelligence techniques
Authors: P. M. Papazoglou, D. A. Karras, R. C. Papademetriou
Venue: Proceedings of the 10th WSEAS international conference on Mathematical methods, computational techniques and intelligent systems (2008)

Channel allocation is one of the fundamental issues in wireless communications due to the fact that it determines how the available bandwidth will be managed. The limited channel availability and the increasing demands for advanced services such as real time video give to channel allocation strategies a special role. Plethora of channel allocation strategies have been proposed in the literature for supporting voice services as well as multimedia services. In large scale networks, where the traffic conditions can not be predicted, intelligent techniques have been applied such as genetic algorithms. This paper, presents a critical overview on the recent advances in the most important channel allocation strategies found in the literature with regards to voice and multimedia services. Moreover, a discussion for the existing channel allocation strategies and the applicability of intelligent techniques, based on the computational intelligence framework, is also presented.
On Reducing Relationships to Property Ascriptions
Authors: Jørgen Fischer Nilsson
Venue: Proceeding of the 2009 conference on Information Modelling and Knowledge Bases XX (2009)

This paper discusses whether relationships can preferably be reduced to properties in conceptual modelling and formal ontology engineering. The discussion takes as point of departure the subject-predicate form of logic supporting a monadistic view.
Phylogenies without Branch Bounds: Contracting the Short, Pruning the Deep
Authors: Constantinos Daskalakis, Elchanan Mossel, Sebastien Roch
Venue: Proceedings of the 13th Annual International Conference on Research in Computational Molecular Biology (2009)

We introduce a new phylogenetic reconstruction algorithm which, unlike most previous rigorous inference techniques, does not rely on assumptions regarding the branch lengths or the depth of the tree. The algorithm returns a forest which is guaranteed to contain all edges that are: 1) sufficiently long and 2) sufficiently close to the leaves. How much of the true tree is recovered depends on the sequence length provided. The algorithm is distance-based and runs in polynomial time.
An Open-ended Framework for Learning Object Metadata Interchange
Authors: Yuejun Zhang, Kinshuk, Taiyu Lin
Venue: Proceeding of the 2005 conference on Towards Sustainable and Scalable Educational Innovations Informed by the Learning Sciences: Sharing Good Practices of Research, Experimentation and Innovation (2005)

This paper presents a framework for the interchange of learning object (LO) metadata schemas and describes the prototype developed under this framework. The framework is open-ended and highly scalable because of the adoption of the proposed LOM-intermediated mapping scheme and dynamic-database approach. The prototype currently transforms metadata in XML format between IMS, EdNA, Dublin Core and LOM, but can be easily extended to incorporate other schemas due to the open-ended characteristics.
Test Points Selection for Analog Fault Dictionary Techniques
Authors: Chenglin Yang, Shulin Tian, Bing Long
Venue: Journal of Electronic Testing: Theory and Applications (2009)

The test points selection problem for analog fault dictionary is researched extensively in many literatures. Various test points selection strategies and criteria for Integer-Coded fault wise table are described and compared in this paper. Firstly, the construction method of Integer-Coded fault wise table for analog fault dictionary is described. Secondly, theory and algorithms associated with these strategies and criteria are reviewed. Thirdly, the time complexity and solution accuracy of existing algorithms are analyzed and compared. Then, a more accurate test points selection strategy is proposed based on the existing strategies. Finally, statistical experiments are carried out and the accuracy and efficiency of different strategies and criteria are compared in a set of comparative tables and figures. Theoretical analysis and statistical experimental results given in this paper can provide an instruction for coding an efficient and accurate test points selection algorithm easily.
Modeling, simulation and control of wind turbine
Authors: Monica Leba, Emil Pop, Camelia Tabacaru-Barbu, Maria Pop
Venue: Proceedings of the 4th WSEAS/IASME international conference on Dynamical systems and control (2008)

In this paper the wind turbine system consisting of wind model, turbine, AC generator and controller is considered. The main objective of this paper is to determine the wind turbine mathematical model, validate it through simulation, and design an appropriate controller in order to offer a general point of view regarding the home use of this type of clean energy production. Each part of the wind turbine is analyzed, modeled and simulated. At the end of the paper these elements are connected together and the whole system is modeled and simulated. The simulation results confirm the correctness of the developed mathematical models and can be used for a better design of such systems.
Engagement tracing: using response times to model student disengagement
Authors: Joseph E. Beck
Venue: Proceeding of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology (2005)

Time on task is an important predictor for how much students learn. However, students must be focused on their learning for the time invested to be productive. Unfortunately, students do not always try their hardest to solve problems presented by computer tutors. This paper explores student disengagement and proposes an approach, engagement tracing, for detecting whether a student is engaged in answering questions. This model is based on item response theory, and uses as input the difficulty of the question, how long the student took to respond, and whether the response was correct. From these data, the model determines the probability a student was actively engaged in trying to answer the question. The model has a reliability of 0.95, and its estimate of student engagement correlates at 0.25 with student gains on external tests. We demonstrate that simultaneously modeling student proficiency in the domain enables us to better model student engagement. Our model is sensitive enough to detect variations in student engagement within a single tutoring session. The novel aspect of this work is that it requires only data normally collected by a computer tutor, and the affective model is statistically validated against student performance on an external measure.
Individual agent's wealth in minority games
Authors: Yingni She, Ho-Fung Leung
Venue: International Journal of Autonomous and Adaptive Communications Systems (2009)

In the traditional minority game, each agent chooses the highest-score predictor at every time step from its initial predictors which are allocated randomly. In this paper, we study a version of the minority game in which one individual privileged agent is allowed to join the game with different memory size from the other agents and free to choose any predictor, while each of the other agents owns small number of predictors. We investigate the privileged agent's wealth in different dynamic environments. Simulations show that the privileged agent using the proposed intelligent strategy can outperform the other agents in the same model and other models proposed in previous work in terms of individual wealth. We also discuss the impacts of the parameters on the privileged agent's wealth, such as the number of predictors the privileged agent owns and its memory size. Moreover, we discuss the impact of the number of predictors the other agents possess and their memory sizes on the privileged agent's wealth.
How Reed-Solomon codes can improve steganographic schemes
Authors: Caroline Fontaine, Fabien Galand
Venue: EURASIP Journal on Information Security (2009)

The use of syndrome coding in steganographic schemes tends to reduce distortion during embedding. The more complete model comes from the wet papers (J. Fridrich et al., 2005) and allow to lock positions which cannot be modified. Recently, binary BCH codes have been investigated and seem to be good candidates in this context (D. Schönfeld and A. Winkler, 2006). Here, we show that Reed-Solomon codes are twice better with respect to the number of locked positions; in fact, they are optimal. First, a simple and efficient scheme based on Lagrange interpolation is provided to achieve the optimal number of locked positions. We also consider a new andmore general problem, mixing wet papers (locked positions) and simple syndrome coding (low number of changes) in order to face not only passive but also active wardens. Using list decoding techniques, we propose an efficient algorithm that enables an adaptive tradeoff between the number of locked positions and the number of changes.
Time-Dependent Density Functional Theory Study of Structure-Property Relationships in Diarylethene Photochromic Compounds
Authors: Pansy D. Patel, Artëm E. Masunov
Venue: Proceedings of the 9th International Conference on Computational Science (2009)

Photochromic compounds exhibit reversible transition between closed and open isomeric forms upon irradiation accompanied by change in their color. The two isomeric forms differ not only in absorption spectra, but also in various physical and chemical properties and find applications as optical switching and data storage materials. In this contribution we apply Density Functional Theory (DFT) and Time-Dependent DFT (TD-DFT) to predict the equilibrium geometry and absorption spectra of a benchmark set of diarylethene based photochromic compounds in open and closed forms (before and after photocyclization). Comparison of the calculated Bond Length Alternation parameters with those available from the X-ray data indicates M05-2x functional to be the best method for geometry optimization when basis set includes polarization functions. We found M05 functional accurately predicts the maximum absorption wavelength when solvent is taken into account. We recommend combined theory level TD-M05/6-31G*/PCM//M05-2x/6-31G*/PCM for prediction of geometrical and spectral parameters of diarylethene derivatives.
True random number generation based on environmental noise measurements for military applications
Authors: N. G. Bardis, A. P. Markovskyi, N. Doukas, N. V. Karadimas
Venue: Proceedings of the 8th WSEAS international conference on Signal processing, robotics and automation (2009)

True random number generators can significantly contribute to the development of high security cryptographic schemes, such as those required for use in military applications. This article presents some the results of an innovative method for the generation of truly random number sequences, based on environmental noise measurements. The statistical properties of different noise types have been studied. Based on this study, an efficient random number generator has been developed that uses signals from the built in microphone that is ubiquitous most current personal computers and other personal information processing systems. Statistical measures have been determined that measure the randomness qualities of the output sequence. These measures have been studied for different input noise properties. The merit of the proposed generator in terms of the rate at which random numbers are produced has also been assessed.