ppxscal/embedding_network huggingface dataset:
New decision support tool for treatment intensity choice in childhood acute lymphoblastic leukemia
Authors: Carlos Eduardo Pedreira, Leonardo Macrini, Marcelo G. Land, Elaine S. Costa
Venue: IEEE Transactions on Information Technology in Biomedicine (2009)

Acute lymphoblastic leukemia (ALL), the most common cancer in childhood, has its treatment modulated by the risk of relapse. An appropriate estimation of this risk is the most important factor for the definition of treatment strategy. In this paper, we build up a new decision support tool to improve treatment intensity choice in childhood ALL. Our procedure was applied to a significant cohort of Brazilian children with ALL, the majority of the cases treated in the last decade in the two main University Hospitals of Rio de Janeiro. Some intrinsically difficulties of this dataset introduce an assortment of challenges, among those the need of a proper selection of features, clinical and laboratorial data. We apply a mutual information-based methodology for this purpose and a Neural Network to estimate the risk. Among the relapsed patients, 98.2% would have been identified as high-risk by the proposed methodology. The proposed procedure showed significantly better results when compared to the BFM95, a widely used classification protocol.
Regular simplex fingerprints and their optimality properties
Authors: Negar Kiyavash, Pierre Moulin, Ton Kalker
Venue: IEEE Transactions on Information Forensics and Security (2009)

This paper addresses the design of additive fingerprints that are maximally resilient against linear collusion attacks on a focused correlation detector, as defined below. Let N be the length of the host vector and M ≤ N + 1 the number of users. The focused detector performs a correlation test in order to decide whether a user of interest is among the colluders. Both the fingerprint embedder and the colluders are subject to squared-error distortion constraints. We show that simplex fingerprints maximize a geometric figure of merit for this detector. In that sense they outperform orthogonal fingerprints but the advantage vanishes as M → ∞. They are also optimal in terms of minimizing the probability of error of the focused detector when the attack is a uniform averaging of the marked copies followed by the addition of white Gaussian noise. Reliable detection is guaranteed provided that the number of colluders K ≪ √N. Moreover, we study the probability of error performance of simplex fingerprints for the focused correlation detector when the colluders use nonuniform averaging plus white Gaussian noise attacks.
From 3d geomodelling systems towards 3d geoscience information systems: Data model, query functionality, and data management
Authors: Marcus Apel
Venue: Computers Geosciences (2006)

Two-dimensional GIS are extensively used in geology to create, analyse, and interpret geological map models. However, these systems are unable to represent the Earth's subsurface in three spatial dimensions. The objective of this article is to overcome this deficiency and to provide a general framework for a 3d GIS. The presented approach is based on existing 3d geomodelling theory and software, and is characterized by an integrated data model for geological observation data and geomodels, data management supported by an XML-enabled database server, and functionality for querying observation data and 3d geomodels based on their 3d spatial and geological properties. The resulting 3d GIS framework enables geologists to manipulate, analyse and interpret 3d geomodels analogously as they work with 2d geological maps.
A distributed on-off amplify-and-forward protocol for the fading parallel relay channel
Authors: Mingjun Dai, Chi Wan Sung
Venue: IEEE Communications Letters (2009)

A single source-destination pair communicating via a layer of two parallel relay nodes under slow fading is considered. The bit error rate (BER) performance of Alamouti-Coded Amplify-and-Forward (ACAF) transmission protocol under different power control strategies is investigated. The optimal power control rule is analytically derived and two distributed approximations to this rule are proposed. The optimal rule reveals an interesting fact: The transmission of each relay is on-off in nature. Simulation results show that our proposed distributed approximations improve the BER performance significantly.
Performance analysis of linear receivers in a MIMO relaying system
Authors: Batu K. Chalise, Luc Vandendorpe
Venue: IEEE Communications Letters (2009)

We investigate the performance of linear receivers in a cooperative system which consists of a source, a decode-and-forward (DF) relay and a destination that are all multi-antenna nodes. The relay uses zero-forcing (ZF) equalization whereas the destination employs maximum ratio combining (MRC) as well as ZF techniques. Considering that perfect channel state information is available at the relay and destination, and the fading is Rayleigh, we derive a closed-form approximate expression for the outage probability of the post-receiver signal-to-noise ratio (SNR) of each data stream at the destination and analyze the diversity order. The validity of the outage probability expression is confirmed with the numerical results.
Error performances of multi shift-register convolutional self-doubly-orthogonal codes
Authors: Yu-Cheng He, David Haccoun, Christian Cardinal
Venue: IEEE Communications Letters (2009)

A class of orthogonal convolutional codes using a multi shift-register encoder and featuring self-doubly-orthogonal properties is analyzed under iterative decoding. The lower bounds of error performances of these codes can be approached within typically three to five iterations at moderate signal-to-noise ratios using either iterative threshold (TH) decoding or belief propagation (BP) decoding. Compared with iterative BP decoding, it is shown that iterative threshold decoding for these codes yields a much lower complexity at the same decoding latency.
MATLAB functions to analyze directional (azimuthal) data-II: Correlation
Authors: Thomas A. Jones
Venue: Computers Geosciences (2006)

Data that represent azimuthal directions cannot be analyzed in the same manner as ordinary linear variables that measure, for example, size or quality. This is especially true for correlations between variables. Although many statistical techniques have been developed for dealing with directional data, software is scarce for the unique calculations. This paper describes a MATLAB script, located on the IAMG server, that calculates measures of association (correlations) between two circular variables, or between a circular and a linear variable. The calculations include tests of significance of the associations. These tests use large-sample approximations or resampling methods.
Automatic creation of a reference corpus for political opinion mining in user-generated content
Authors: Luís Sarmento, Paula Carvalho, Mário J. Silva, Eugénio de Oliveira
Venue: Proceeding of the 1st international CIKM workshop on Topic-sentiment analysis for mass opinion (2009)

We propose and evaluate a method for automatically creating a reference corpus for training text classification procedures for mining political opinions in user-generated content. The process starts by compiling a collection of highly opinionated comments posted by users on an on-line newspaper. Then, we define and use a set of manually-crafted high-precision rules supported by a large sentiment-lexicon in order to identify sentences in each comment expressing opinions about political entities. Finally, the opinions found are propagated to the remainder sentences of the comment mentioning the same entities, thus increasing the number and variety of opinion-bearing sentences. Results show that most of the rules can identify negative opinions with very high precision, and these can be safely propagated to the remainder sentences in the comment in almost 100% of the cases. Due to problems arising from irony, the precision of identification drops for positive opinions, but several rules still reach high precision. Propagation of positive opinions is correct in about 77% of the cases, and most errors at this stage result from irony and polarity inversion throughout the comment.
Design and Implementation of Energy-Efficient and Secure Framework for Wireless Sensor Networks
Authors: Eui-Jik Kim, Jeongsik In, Taeshik Shon, Yongsuk Park, Bong Wan Jun
Venue: Proceedings of the 2009 International Conference on Network-Based Information Systems (2009)

Many applications in wireless sensor network (WSNs) require energy efficiency. In addition, recently increasing applications sometimes include very sensitive information such as personal related information, and individual health data. However, existing works have not satisfied these requirements of WSN applications. In this paper, we propose an energy-efficient and secure framework for WSNs, which is CSMA and TDMA hybrid approach and provides the multi-channel TDMA based active/sleep scheduling with it. It also includes the security related functionalities to employ a flexible security suite to packets dynamically. We describe the design and implementation of this framework and show the effectiveness of our system by experiments.
Design and implementation of IPMS web portal
Authors: Reece Martin, Hao Shi
Venue: Proceedings of the 10th IASTED International Conference on Computers and Advanced Technology in Education (2007)

IPMS (Industry Project Management System) is a convenient "All-In-One" web portal. It is primarily developed to automate and streamline management of the final-year Industry Projects at the School of Computer Science and Mathematics. It aims to provide an efficient collaborative and communication software tool for all those involved in the Industry Projects programme, such as students, supervisors, project sponsors and the project coordinator. In this paper, the entire software development cycle of IPMS is presented. First the user requirements and system architecture are described. Then design and implementation of IPMS web portal using MySQL and PHP is described in more detail. Finally, it is concluded from the conducted usability test that over 80% of the students favoured the adoption of the new IPMS system.
Asymmetric power allocation to improve convergence rate of iterative receivers with soft cancellation
Authors: Chunsung Jung, Jinho Choi, Jeongseok Ha
Venue: IEEE Communications Letters (2009)

The major drawback of iterative receivers is more power consumption and longer latency due to iterations even though iterative receivers can enjoy a good compromise between complexity and performance. Motivated by these issues, we study a simple power allocation strategy in the transmitter side to alleviate the burden in an iterative receiver with interference cancellation by improving convergence rate. We analyze asymmetric power allocation with the extrinsic information transfer (EXIT) chart technique and show that the convergence rate (as well as performance) can be improved.
Proceeding of the third international workshop on Data and text mining in bioinformatics
Venue: Conference on Information and Knowledge Management (2009)

It is our great pleasure to welcome you to the 3rd ACM International Workshop on Data and Text Mining in Bioinformatics (DTMBIO'09), in conjunction with the 18th ACM International Conference on Information and Knowledge Management (CIKM'09). This year's workshop continues its tradition of bringing together researchers who work in the field of data mining, text mining, and computational biology and providing a forum to present and discuss frontier research topics at the interface of the related fields. The mission of the DTMBIO is to promote a tightened connection between literature search and data analysis for bioinformatics solutions. In particular, this year we focus on the following two themes: (1) Data and text mining solutions for Bioinformatics that identify relevant background knowledge in textual documents, such as scientific publications, or in database annotations. And (2) Ambitious knowledge discovery solutions that process heterogeneous biomedical data collected from electronic bulletin boards, scientific publications, and any type of experiments. The call for papers attracted 18 submissions from Asia, Europe, and the United States. The program committee accepted eight papers as full papers. These papers cover a variety of topics, including environmental genomic information analysis, knowledge emergence model, drug-drug interaction extraction in literature, breast cancer diagnosis based on metabolome profiles, page ranking in biomedical literature search, sequence alignment, cancer genes discovery, word sense disambiguation. More over, the program committee accepted six poster papers. This year we have initiated a new technology track for researchers to present the most recent industry application of data and text mining in bioinformatics research. We accepted two papers in the technology track. We hope that these proceedings will serve as a valuable reference for latest progresses on applying data mining and text mining techniques in bioinformatics research.
Modelling and analysis of priority queueing systems with multi-class self-similar network traffic: a novel and efficient queue-decomposition approach
Authors: Xiaolong Jin, Geyong Min
Venue: IEEE Transactions on Communications (2009)

Traffic self-similarity has been discovered to be a ubiquitous phenomenon in communication networks and multimedia systems. Due to its fractal-like nature, performance modelling of self-similar traffic poses greater challenges and exhibits more complexity than that of traditional nonbursty traffic. As a result, most existing studies on analytical modelling of priority queueing systems with self-similar inputs have been restricted to a simplified scenario where only two traffic flows are taken into account. This study contributes to performance modelling of priority queueing systems by proposing a novel queue-decomposition approach, which offers several potential advantages and unique innovations. Specifically, we extend the well-known Empty Buffer Approximation (EBA) method to model priority queueing systems with multiple traffic flows and decompose the original priority queueing system into a group of single-server single-queue systems, which can make the challenging performance modelling problem tractable. We further develop an analytical model to investigate the queue length distributions of individual traffic flows. The validity and accuracy of the model demonstrated through extensive simulation experiments make it a practical and cost-effective evaluation tool for quantitatively evaluating the performance behavior of priority queueing systems with multi-class self-similar traffic under various working conditions.
An Optimal Algorithm for Scheduling Tasks within Deadline and Budget Constraints
Authors: Hu Song, Shoubao Yang, Bin Wu, Xiaoqian Liu, Liangmin Guo
Venue: Proceedings of the 2009 Fifth International Joint Conference on INC, IMS and IDC (2009)

In the market-oriented grid environment, clients make use of grid computing resources to execute many independent tasks. According to the urgency of tasks and deficiency of client’ budget, not all the tasks could be completed as demanded. To maximize the number of completed tasks, a linear programming model based scheduling algorithm (LMBS) is proposed in this paper. Comparing with other algorithms, experiment results show that performance of LMBS is much better obviously.
Robust design of a cellular-line production system with unreliable facilities
Authors: M. Kuroda, T. Tomita
Venue: Computers and Industrial Engineering (2005)

A cellular-line production system consists of multiple flow shops which are individual sets composed of functionally different facilities. The cellular-line production system is carefully designed and controlled so as to group facilities that perform similar operations and balance the workload among facilities considering the planned product mix and its variations. Thus, a drastic reduction in production lead time is possible as long as all of the facilities composing cellular-lines in the system are reliable. The present paper deals with a design problem of the cellular-line production system which includes unreliable facilities. We assume that the times to failure and times to repair are exponentially distributed and that the latter is not lengthy, that is, that the times to repair are at most several times the cycle time, which is the input interval for the cellular-lines. A methodology for designing the system in a machine-failure environment is presented and the results of numerical experiments and simulation are shown to verify the usefulness of the proposed methodology. Finally, the practical significance of quantitative analysis and evaluation in the stochastic design problem is discussed.
Detecting anomalies in network traffic using the method of remaining elements
Authors: P. Velarde-Alvarado, C. Vargas-Rosales, D. Torres-Roman, A. Martinez-Herrera
Venue: IEEE Communications Letters (2009)

Attacks, such as port scans, DDoS and worms, threaten the functionality and reliability of IP networks. Early and accurate detection is crucial to mitigate their impact. We use the Method of Remaining Elements (MRE) to detect anomalies based on the characterization of traffic features through a proportional uncertainty measure. MRE has the functionality and performance to detect abnormal behavior and serve as the foundation for next generation network intrusion detection systems.
Locals Search Algorithms for Efficient Router Nodes Placement in Wireless Mesh Networks
Authors: Fatos Xhafa, Christian Sanchez, Leonard Barolli
Venue: Proceedings of the 2009 International Conference on Network-Based Information Systems (2009)

Wireless Mesh Networks (WMNs) are an important networking infrastructure for providing cost-efficient broadband wireless connectivity to a group of users. WMNs are increasingly being used in urban areas, metropolitan and municipal area networks for deployment of medical, transport, surveillance systems, etc. The good performance and operability of WMNs largely depends on placement of mesh routers nodes in the geographical area to achieve network connectivity and stability. Therefore, optimal placement of router nodes in WMNs is a main issue in deployment of WMNs. In this work we propose and evaluate local search methods for placement of mesh routers in WMNs with a two fold objective: maximizing the size of the giant component in the network and user coverage. Given a grid area where to distribute a given number of mesh router nodes, which can have different radio coverage, and a number of fixed clients a priori distributed in the given area, local search methods explore different local movements and incrementally improve the quality of the router nodes placement in terms of network connectivity and user coverage. We have experimentally evaluated the considered local search methods through a benchmark of generated instances varying from small to large size. In the instances, different distributions of mesh clients (Uniform, Normal, Exponential and Weibull) are considered aiming to evaluate the quality of achieved solutions for different client distributions. Although local search methods can be stuck in local optima, the experimental evaluation showed their good performance; local search methods could thus be applied as a first choice for optimizing network connectivity and user coverage in WMNs. The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
An Improved Identity-Based Encryption Scheme Without Bilinear Map
Authors: Minghui Zheng, Huihua Zhou, Guohua Cui
Venue: Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 01 (2009)

According to the MOV reduction theory, the Identity-Based Encryption (IBE) scheme basing on the bilinear map will lose the high efficiency of elliptic curve. So it is meaningful to build the provably secure Identity-based encryption scheme, but which is without the bilinear map. In this paper, based on this existing result and our new research, an improved IBE scheme will be proposed. But it is different from previous scheme that the new scheme is without symmetric encryption, and at the same time having strong provable security. At last, we will analyze the performance of this new scheme.
Short note: A note on the dipole coordinates
Authors: Akira Kageyama, Tooru Sugiyama, Kunihiko Watanabe, Tetsuya Sato
Venue: Computers Geosciences (2006)

A couple of orthogonal coordinates for dipole geometry are proposed for numerical simulations of plasma geophysics in the Earth's dipole magnetic field. These coordinates have proper metric profiles along field lines in contrast to the standard dipole coordinate system that is commonly used in analytical studies for dipole geometry.
Factors influencing learning through play in ICT settings
Authors: Steve Kennewell, Alex Morgan
Venue: Computers Education (2006)

Using a mixed method approach of questionnaires, observations and field notes, the authors have studied a number of settings during the past two years which have focussed on the development of ICT capability through play. Some of these have involved children identified as disaffected or disadvantaged, whilst others have involved initial teacher education students. In this paper, we consider some of the results obtained from the most recent of these settings, relate these to those obtained from the other settings, and explore further a number of inter-related issues which have arisen from the analysis. We particularly focus on the effect of learners' self-esteem and self-efficacy; the influence of gender-related characteristics; the role of interaction between learners during activity; and the value of reflection. Our research found a consistently positive relationship between learners' self-belief with ICT and subsequent attainment through play activity, whereas their access to technology at home seems to have little effect on their subsequent learning. Furthermore, it was a specific ICT self-efficacy, rather than a more general self-esteem, which appeared to influence the development of ICT capability. The average attainment of boys and girls was very similar, but there were significant differences in the distributions in that the majority of the very high and very low achievers in terms of competences achieved were boys. Male student teachers attained significantly higher competence levels even after taking account of higher initial skill levels. The degree of interaction between learners varied between groups, and although this was not measured directly, there was some evidence of greater attainment by those who shared ideas together. Our results suggest that play activity can be very successful in developing aspects of ICT capability, and that play may be valuable as a mode of learning with adults and older children as well as the young children with which it is usually associated. However, there are important factors to be considered in order to provide the conditions needed for success, and it will be important that we do not disadvantage further those who are least confident with technology and the already disaffected males.