ppxscal/embedding_network huggingface dataset:
Agents and Data Mining in Bioinformatics: Joining Data Gathering and Automatic Annotation with Classification and Distributed Clustering
Authors: Ana L. Bazzan
Venue: Agents and Data Mining Interaction: 4th International Workshop, ADMI 2009, Budapest, Hungary, May 10-15,2009, Revised Selected Papers (2009)

Multiagent systems and data mining techniques are being frequently used in genome projects, especially regarding the annotation process (annotation pipeline). This paper discusses annotation-related problems where agent-based and/or distributed data mining has been successfully employed.
Analysis of Dual-Band Helical Antenna for Diversity on Mobile Phones
Authors: A. Khaleghi, A. Azoulay, J. -C. Bolomey
Venue: Wireless Personal Communications: An International Journal (2009)

Antenna diversity on a mobile phone is considered using two dual-band, GSM900/1800, helical antennas. The received signals in mobile Rayleigh fading channel are modeled using a new field simulation technique that involves the three-dimensional (3D) radiation pattern of antennas, 3D angle of arrivals (AoAs) and Doppler frequency. Statistical tools prove the validity of the field simulator. The signals correlation coefficient and diversity gain are computed for different mobile propagation environments by considering AoAs. It is shown that the diversity gain is slightly influenced by the environment models. The experimental prototype is developed and measured. Antenna characteristics: return loss, coupling, 3-D radiation patterns and antenna efficiency are obtained by the measurements and simulations. The diversity performance of the array configuration is measured in the rich wave scattering environment of a reverberation chamber (RC). Results including: signals correlation coefficient, average power of diversity branches, apparent/effective diversity gain and antenna efficiency in RC are provided. The influence of the mobile user is measured as well. Diversity gain of the helical array in both operating frequencies is fairly good. The signals correlation with user's head increases in GSM900 and slightly decreases in GSM1800. In the former band, the diversity gain loss due to imbalance branch powers is found more important than in the later.
Three years of teaching resource sharing by primary school teachers trainees on a CSCW platform
Authors: Simon Jean
Venue: Proceedings of the 9th international conference on Computer supported collaborative learning - Volume 1 (2009)

In this paper, we propose a unit of analysis to study traces in CSCW, the higher level shared folder (hlsf), which we define. We use it here to analyze how teaching resource pooling and sharing has been operated by the teacher trainees within the IUFM de La Réunion for three years. We verify that this sharing was effective, we see how it was structured and we study its evolution during those three years.
Governing the teak furniture business: A global value chain system dynamic modelling approach
Authors: Herry Purnomo, Philippe Guizol, Dwi R. Muhtaman
Venue: Environmental Modelling Software (2009)

Javanese teak forest constitutes more than 35% of world teak forests. It provides employment and livelihood to millions of people. This paper describes the use of systems dynamics to mimic the value chain of teak from forest to final furniture market using phases of conceptual design, model specification, model evaluation and model uses. The model comprises Perhutani plantation teak, community agroforest, teak log trading, furniture manufacturing and market. From the model we observe baseline trends of teak forest and incomes to various actors participating in teak business including forest state enterprise Perhutani, local communities, brokers, manufacturers and retailers. We use the model to produce governance scenarios of fair trade and vertical integration, their impacts on actors' income and the sustainability of teak plantations.
Approximating a real number by a rational number with a limited denominator: A geometric approach
Authors: Emilie Charrier, Lilian Buzer
Venue: Discrete Applied Mathematics (2009)

We consider the problem of determining the rational number which best approximates the real number a and such that its denominator belongs to an interval [b,b^']. There is a related geometric problem consisting in finding the integer point lying in the vertical domain D of the form {(x,y)@?R^2|b@?x@?b^'} such that the straight line passing through the origin and through this point best approximates the straight line L of slope a passing through the origin. The computation of this point is interlinked with the computation of both the convex hulls of the integer points located above and below the straight line L respectively and lying in the vertical domain D. In the literature, many general convex hull algorithms exist, as the gift wrapping algorithm for example. However, we focus on two interesting approaches to compute these convex hulls which are especially appropriated in our special configuration. The first one mainly uses number theory and runs in O(log(b^')) time. The other is in line with computational geometry as the method proposed in 1999 by Balza-Gomez et al. [H. Balza-Gomez, J.-M. Moreau, D. Michelucci, Convex hull of grid points below a line or a convex curve, in: DGCI '99: Proceedings of the 8th International Conference on Discrete Geometry for Computer Imagery, Springer, Marne-la-Vallee, France, 1999, pp. 361-374] which runs in O(log(b^'-b)) time. We propose a new method for the computation of these convex hulls which combines number theory and computational geometry. Our method preserves the optimal time complexity and is the first being output sensitive. Indeed, we compute the convex hulls in time linear in their vertex number. Moreover, the resulting algorithm is very simple and so is suitable for implementation.
Natural and Implicit Interaction Systems
Authors: Maurice Chu
Venue: Computer (2009)

A responsive mirror system lets shoppers visually compare multiple clothing items side by side without changing their behavior.
Exploratory fMRI Analysis without Spatial Normalization
Authors: Danial Lashkari, Polina Golland
Venue: Proceedings of the 21st International Conference on Information Processing in Medical Imaging (2009)

We present an exploratory method for simultaneous parcellation of multisubject fMRI data into functionally coherent areas. The method is based on a solely functional representation of the fMRI data and a hierarchical probabilistic model that accounts for both inter-subject and intra-subject forms of variability in fMRI response. We employ a Variational Bayes approximation to fit the model to the data. The resulting algorithm finds a functional parcellation of the individual brains along with a set of population-level clusters, establishing correspondence between these two levels. The model eliminates the need for spatial normalization while still enabling us to fuse data from several subjects. We demonstrate the application of our method on a visual fMRI study.
Modeling a MultiAgent Mobile Robotics Test Bed Using a Biologically Inspired Artificial Immune System
Authors: Tejbanta Singh Chingtham, Shivashankar B. Nair
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)

The biological immune system is a complex, adaptive, pattern-recognition system that defends the body from foreign pathogens. The system uses learning, memory, and associative retrieval to solve recognition issues and classification of tasks. In particular, it learns to recognize relevant problems, remember those encountered in the past, and uses combinations to construct problem detectors efficiently. This paper explores an application of an adaptive learning mechanism for robots based on the natural immune system, using two algorithms, viz., the behavior arbitration mechanism and the clonal selection algorithm to demonstrate the innate and adaptive immune response respectively. The work highlights the innate and adaptive characteristics of the immune system, wherein a robot learns to detect vulnerable areas of a track and adapts to the required speed over such portions. A detailed study of the artificial immune metaphor is carried out and mapped onto the robot world. The robotics test bed comprised of two Lego robots deployed simultaneously on two predefined near concentric tracks with the outer robot capable of helping the inner one when it misaligns. The inner robot raises an SOS signal on misalignment. The outer robot aids the inner robot to regain it alignment exhibiting the innate immunity. The adaptive system within the inner robot learns to tackle the problem in future using Clonal Selection mechanism.
Accounting for affective responses in video games
Authors: Dave Jones
Venue: Proceedings of the 27th ACM international conference on Design of communication (2009)

Recent scholarship in games suggests that communications design can offer a more critical approach to understanding and developing meaningful player experiences. In this paper, I analyze such experiences by examining the usability of The Arcade Wire: Airport Security in relation to its rhetorical aims as a game. Synthesizing two models for games analysis, I can develop a new model to more fully account for affective responses in player experience. Furthermore, the model itself can be reconfigured to examine different gamespaces that configure different relationships among their structural and phenomenlogical elements.
A Tabling Implementation Based on Variables with Multiple Bindings
Authors: Pablo Chico De Guzmán, Manuel Carro, Manuel Hermenegildo
Venue: Proceedings of the 25th International Conference on Logic Programming (2009)

Suspension-based tabling systems have to save and restore computation states belonging to OR branches. Stack freezing combined with (forward) trailing is among the better-known implementation approaches for this purpose. Resuming a goal using this technique reinstalls the bindings for all the variables in the environment where the goal was suspended. In this paper we explore an alternative approach where variables can keep track of several bindings, associated with suspensions. Resuming a goal boils down to determining which suspension has to be resumed, in order to select, when dereferencing, the bindings which were active at the moment of suspending. We present the ideas behind this approach, highlight several advantages over other suspension-based implementations, and perform an experimental evaluation. We also recall the similarity between OR-parallelism and suspension-based implementations of tabling, and discuss similarities with the Version Vectors Method, among others.
Predictive mesoscale network model of cell fate decisions during c. elegans embryogenesis
Authors: David A. Winkler, Frank R. Burden, Julianne D. Halley
Venue: Artificial Life (2009)

The differentiation pathway of the nematode worm model organism C. elegans has been studied as a surrogate for future work on the human embryonic stem cell genetic networks. We extend earlier work on recursive networks by the introduction of a regularizer and more robust convergence algorithms, and by training the model to recapitulate experimental gene expression patterns rather than random expression patterns. We also assess the ability of the model to predict the expression profile on the next cell(s) in the lineage. The weight matrix from the model may be interpreted as a set of rules that guides the differentiation of the cells via a set of regulatory factors: internal genes or external entities. The activity of the regulatory factors shows patterns across the differentiation pathway that reflect the left-or right-hand split. Using these patterns, it may be possible to identify the actual factors responsible for the differentiation and to interpret the associated weights. The model was able to predict expression profiles of cells not used in training the model with a relatively low error rate.
Reusable, generic program analyses and transformations
Authors: Jeremiah James Willcock, Andrew Lumsdaine, Daniel J. Quinlan
Venue: Proceedings of the eighth international conference on Generative programming and component engineering (2009)

The optimizations in modern compilers are constructed for a predetermined set of primitive types. As a result, programmers are unable to exploit optimizations for user-defined types where these optimizations would be correct and beneficial. Moreover, because the set of optimizations is also fixed, programmers are unable to incorporate new optimizations into the compiler. To address these limitations, we apply the reuse methodologies from generic programming to compiler analyses and optimizations. To enable compilers to apply optimizations to classes of types rather than particular types, we define optimizations in terms of generic interface descriptions (similar to C++ concepts or Haskell type classes). By extending these interface descriptions to include associated program analysis and transformation fragments, we enable compilers to incorporate user-defined transformations and analyses. Since these transformations are explicitly associated with interface descriptions, they can be applied in generic fashion by the compiler. We demonstrate that classical compiler optimizations, when generalized using this framework, can apply to a broad range of types, both built-in and user-defined. Finally, we present an initial implementation, the principles of which are generalizable to other compilers.
Generalized neuron: Feedforward and recurrent architectures
Authors: Raghavendra V. Kulkarni, Ganesh K. Venayagamoorthy
Venue: Neural Networks (2009)

Feedforward neural networks such as multilayer perceptrons (MLP) and recurrent neural networks are widely used for pattern classification, nonlinear function approximation, density estimation and time series prediction. A large number of neurons are usually required to perform these tasks accurately, which makes the MLPs less attractive for computational implementations on resource constrained hardware platforms. This paper highlights the benefits of feedforward and recurrent forms of a compact neural architecture called generalized neuron (GN). This paper demonstrates that GN and recurrent GN (RGN) can perform good classification, nonlinear function approximation, density estimation and chaotic time series prediction. Due to two aggregation functions and two activation functions, GN exhibits resilience to the nonlinearities of complex problems. Particle swarm optimization (PSO) is proposed as the training algorithm for GN and RGN. Due to a small number of trainable parameters, GN and RGN require less memory and computational resources. Thus, these structures are attractive choices for fast implementations on resource constrained hardware platforms.
The Application of Improved Decision Tree Algorithm in Data Mining of Employment Rate: Evidence from China
Authors: Yuxiang Shao, Qing Chen, Weiming Yin
Venue: Proceedings of the 2009 First International Workshop on Database Technology and Applications (2009)

In allusion to the limitations of ID3 algorithm which is the core algorithm of building decision tree, this paper presented the improved project which added attribute measure and introduced information gain ratio. The project trained the example set in the data mining of the students' employment rate and created the employment data mining model. The model was tested with the data of the students in school. The test proved that the improved decision tree algorithm has high reference value to the reallocation of the teaching resources.
Financial Analysis for Developing CDM Project in the Coke Plant
Authors: Ma Xiuqin, Huang Chao, Wu Guoning
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 03 (2009)

In the coke plant, the traditional coke wet quenching method is to be used to cool down the red hot coke and waste heat is released to the atmosphere in China. There are a lot of smog, particles, cyanide, sulphide and etc. mixtures within the waste heat. It is need to take measure to deal with and to minimum harmful to human health. Coke wet quenching method is not only course heavy air pollution but also energy waste. In this paper, a new advanced technology--coke dry quenching (CDQ) technology is being introduced. CDQ is a process by which the red hot coke is cooled down with low temperature inert gas in a closed cooling unit. Using CDQ new technology, the harmful emissions (including SOx, NOx and floating particles) can be significantly reduced and local environment can be improved. At Feb. 16th 2005, > had finally become effective on the international focus. In the >, there is a Clean Development Mechanism (CDM) which helps developing countries to participate the international emission reduction market and gains biggest profit from CDM system. In this paper, the theoretical base has been put into practice that Chinese coke plants can take part in CDM. Using CDM approved methodology, calculation has been done for potential carbon emission reductions (CERs) of CDQ. It can break a route for Chinese enterprises to get foreign support from CERs, and to overcome the big upfront investment barriers of CDQ and improve the local recycle sustainable development.
An Event-Driven Simulator for Queueing Systems Supporting Performance Control
Authors: Qilu Sun, Guanzhong Dai, Dejun Mu, Wenping Pan
Venue: Proceedings of the 2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009) (2009)

According to the basic principle of birth-and-death process, an event-driven simulator (EDS) for queueing systems is designed in this paper. The main difference between EDS and existing numerical simulation tools is that, EDS supports third-party modules and provides a way for performance control at run-time. Modules in EDS are used for handling system events and sampling actions of feedback controllers are defined as special system events for performance control. EDS is capable of analysing data from real trace and simulating specified processes. Experimental results indicate that, EDS is efficient and can be used to simulate or analyse complex queueing systems.
Researches into the Biorthogonality Property of Vector-Valued Poly-scale Wavelet Packets in Higher Dimensions
Authors: Deyou Yuan, Yong Liu
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

We define a class of vector-valued wavelet packets for vector-valued multivariate function space, which are generalizations of univariate wavelet packets. A new approach for constructing a class of biorthogonal vector-valued multivariate wavelet packets is developed and their biorthogonality properties are characterized by means of matrix theory, time-frequency analysis method, and operator theory. Three biorthogonality formulas regarding these wavelet packets are derived. Moreover, it is shown how to gain new Riesz bases of space L^2(R^s,C^{v}) from these wavelet packets.
Safety Evaluation Method of Roadway Intersection
Authors: Li Yuan, Jian Lu
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 03 (2009)

Death and injuries as a result of road accidents is a recognized global problem and authorities are aware of the consequences this global phenomenon might lead to. Roadway safety is one of the most important issues in transportation. Intersections are the locations with higher traffic crashes as compared with other roadway locations. This paper introduces an approach to evaluate roadway intersection safety performance. This method is fully based on the existing conditions of the intersection, including geometrics, sight distance, pavement surface conditions, traffic control devices, traffic signal timing and phasing, etc. The non-accident based approach is based on field survey to the conditions mentioned before. The approach will also result in a safety index to indicate the safety performance degree of the intersection. Corresponding countermeasures are ranked and recommended based on the cost-benefit analysis. This method is a practical, affordable, beneficial, and simple tool in aiding administrator to improve intersection safety and implement appropriate improvement.
Design of an RFID-based Healthcare Management System using an Information System Design Theory
Authors: E. W. Ngai, J. K. Poon, F. F. Suk, C. C. Ng
Venue: Information Systems Frontiers (2009)

This design science research study describes the design and development of a Radio Frequency Identification (RFID)-based Healthcare Management System (RHMS) for the healthcare industry. We examined the use of RFID technology as the key enabler for building the RHMS to deliver higher business values and provide effective support in transforming and optimizing healthcare practices in the industry. In this study, a prototype RHMS was built and implemented in a quasi-real world setting. The results validate the practical viability of the proposed system architecture. We show that the Information System Design Theory used to develop the RHMS could form the basis for further research. We hope the proposed system architecture and the developed prototype system from this study will help support and further the efforts of both academics and practitioners in RFID research.
UbiSOA Dashboard: Integrating the Physical and Digital Domains through Mashups
Authors: Edgardo Avilés-López, J. Antonio García-Macías
Venue: Proceedings of the Symposium on Human Interface 2009 on ConferenceUniversal Access in Human-Computer Interaction. Part I: Held as Part of HCI International 2009 (2009)

The current Web 2.0 stage of the Internet provided the basis for web-based communities and services aimed at collaboration and information sharing. Furthermore, Internet is now an application platform in which Web applications can be integrated to provide augmented services that could bring the basis for ubiquitous computing scenarios. Recently, the concept of mashups has been used to refer to applications built upon the integration and combination of public Web API's and data sources. Ubiquitous computing mashups go further by combining the functionality of both software and hardware components in an attempt to exploit computation and services provided by everyday objects. Typically, developing a mashup requires highly specialized knowledge in many topics (such as using different programming interfaces and languages). This problem is greatly magnified in developing mashups of both physical and digital services due to the various integration and communication issues. We exemplify these concepts through the use of UbiSOA Editor, a system that allows the creation of ubiquitous computing mashups through simple activities such as dragging and dropping graphical representations of the involved services in a desired scenario. Then we talk about the planning and execution of a sample scenario as a showcase of what can be easily accomplished.
The Research of the Micro-transmitter Feed-Forward Power Amplifier Based on the ADS
Authors: Niu Jinchuan
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 03 (2009)

The feed-forward power amplifier is a current, a high linearity and high-power amplifier in communication systems. By analyzing the principle of the feed-forward power amplifier, the feedforward amplifiers was designed based on ADS. The results show that reasonable setting parameters can improve the feed-forward amplifier linearity; the amplifier efficiency will be improved when the main amplifier work on 1dB compression point; the distortion characteristics is improve more (47dBm output improvements over 60dB) when output power is closed to 47dBm.