ppxscal/embedding_network huggingface dataset:
A Resilient In-Network Data Aggregation Scheme for Wireless Sensor Networks Based on Interleaved Authentication
Authors: Wei Li, Qiaoliang Li
Venue: Proceedings of the 2009 Second International Workshop on Knowledge Discovery and Data Mining (2009)

Wireless sensor networks (WSN) are used in many spheres, such as industry, commerce and military. WSN is composed of hundreds of thousands of sensor nodes with limited energy, computation and storage capacities. Thus the data aggregation technique becomes important because it can help to improving bandwidth usage and energy utilization. But the unprotected aggregation schemes are vulnerable because WSN often placed in untrust or even hostile environment, so the researches on secure aggregation become meaningful. Most prior works have focus on both data aggregation techniques and security techniques, but the researches on secure data aggregation were still few. In this paper, we focus on the integrality of data aggregation and present a resilient in-network data aggregation scheme for wireless sensor networks deploy in hostile environment.
Modelling the Efficiencies and Interactions of Attentional Networks
Authors: Fehmida Hussain, Sharon Wood
Venue: Attention in Cognitive Systems: 5th International Workshop on Attention in Cognitive Systems, WAPCV 2008 Fira, Santorini, Greece, May 12, 2008 Revised Selected Papers (2009)

Posner and colleagues [38,40] assert that attention comprises three distinct anatomical areas of the brain responsible for separate aspects of attention, namely alerting, orienting and executive control. Based on this view of attention, the work presented here computationally models the attentional networks task (ANT) which can be used to assess the efficiency and interactions of these disparate networks, collectively responsible for different functions related to attention mechanisms. The present research builds upon the model of ANT to show the modulation effects of one network on the other and suggests how the model can be used to simulate neglect conditions related to attention. The model is evaluated against data sets from experimental studies and the model's fit to data is assessed statistically. Building such models of attention benefits computer vision research, as they are, well informed from both cognitive psychology and neuroscience perspectives.
Stratum Recognition Method Based on Support Vector Machine
Authors: Wei-jiang Wu, Guo-he Li, Hong-qi Li
Venue: Proceedings of the 2009 International Conference on Computer Engineering and Technology - Volume 02 (2009)

In order to recognize stratums, a new support vector machine model (SVMM) is built on the basis of well-logging data and with RBF as its kernel function. Through the optimization of penalty parameter C and the introduction of a discriminant function, the classification accuracy of SVMM is greatly enhanced. Experiments show that the SVM classifier can be applied effectively to the recognition of stratums, promising a wide application prospect.
A hybrid evolutionary algorithm for attribute selection in data mining
Authors: K. C. Tan, E. J. Teoh, Q. Yu, K. C. Goh
Venue: Expert Systems with Applications: An International Journal (2009)

Real life data sets are often interspersed with noise, making the subsequent data mining process difficult. The task of the classifier could be simplified by eliminating attributes that are deemed to be redundant for classification, as the retention of only pertinent attributes would reduce the size of the dataset and subsequently allow more comprehensible analysis of the extracted patterns or rules. In this article, a new hybrid approach comprising of two conventional machine learning algorithms has been proposed to carry out attribute selection. Genetic algorithms (GAs) and support vector machines (SVMs) are integrated effectively based on a wrapper approach. Specifically, the GA component searches for the best attribute set by applying the principles of an evolutionary process. The SVM then classifies the patterns in the reduced datasets, corresponding to the attribute subsets represented by the GA chromosomes. The proposed GA-SVM hybrid is subsequently validated using datasets obtained from the UCI machine learning repository. Simulation results demonstrate that the GA-SVM hybrid produces good classification accuracy and a higher level of consistency that is comparable to other established algorithms. In addition, improvements are made to the hybrid by using a correlation measure between attributes as a fitness measure to replace the weaker members in the population with newly formed chromosomes. This injects greater diversity and increases the overall fitness of the population. Similarly, the improved mechanism is also validated on the same data sets used in the first stage. The results justify the improvements in the classification accuracy and demonstrate its potential to be a good classifier for future data mining purposes.
Grids challenged by a Web 2.0 and multicore sandwich
Authors: Geoffrey Fox, Marlon Pierce
Venue: Concurrency and Computation: Practice Experience (2009)

We discuss the application of Web 2.0 to support scientific research (e-Science) and related &lsquo;e-more or less anything&rsquo; applications. Web 2.0 offers interesting technical approaches (protocols, message formats, and programming tools) to build core e-infrastructure (cyberinfrastructure) as well as many interesting services (Facebook, YouTube, Amazon S3-EC2, and Google maps) that can add value to e-infrastructure projects. We discuss why some of the original Grid goals of linking the world's computer systems may not be so relevant today and that interoperability is needed at the data and not always at the infrastructure level. Web 2.0 may also support Parallel Programming 2.0&mdash;a better parallel computing software environment motivated by the need to run commodity applications on multicore chips. A &lsquo;Grid on the chip&rsquo; will be a common use of future chips with tens or hundreds of cores. Copyright &copy; 2008 John Wiley & Sons, Ltd.
Estimating the number of frequent itemsets in a large database
Authors: Ruoming Jin, Scott McCallen, Yuri Breitbart, Dave Fuhry, Dong Wang
Venue: Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology (2009)

Estimating the number of frequent itemsets for minimal support &alpha; in a large dataset is of great interest from both theoretical and practical perspectives. However, finding not only the number of frequent itemsets, but even the number of maximal frequent itemsets, is #P-complete. In this study, we provide a theoretical investigation on the sampling estimator. We discover and prove several fundamental but also rather surprising properties of the sampling estimator. We also propose a novel algorithm to estimate the number of frequent itemsets without using sampling. Our detailed experimental results have shown the accuracy and efficiency of our proposed approach.
Integrated Modulo Scheduling for Clustered VLIW Architectures
Authors: Mattias V. Eriksson, Christoph W. Kessler
Venue: Proceedings of the 4th International Conference on High Performance Embedded Architectures and Compilers (2008)

We solve the problem of integrating modulo scheduling with instruction selection (including cluster assignment), instruction scheduling and register allocation, with optimal spill code generation and scheduling. Our method is based on integer linear programming. We prove that our algorithm delivers optimal results in finite time for a certain class of architectures. We believe that these results are interesting both from a theoretical point of view and as a reference point when devising heuristic methods.
The iRAM: an innovative approach to microprocessor memory solutions
Authors: John J. Fallin
Venue: Proceedings of the May 16-19, 1983, national computer conference (1983)

When designing the local read/write memory for a microprocessor system, several specific needs should be addressed. These needs include flexibility, ease of use, and low cost. The iRAM, a new product, effectively addresses all of these needs. The iRAM is a complete memory system that combines a high-density 8K X 8 DRAM array with complete memory and refresh control on a single chip. The iRAM combines the advantages of both the DRAM and SRAM, making it the ideal choice for microprocessor memory. The iRAM's concept and features will be discussed as well as its use in local memory systems for both 8-bit and 16-bit microprocessors. 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
Electronics System Design Techniques for Safety Critical Applications, 1 edition
Authors: Luca Sterpone
Venue:  (2008)

The main purpose of the present manuscript addresses the development of techniques for the evaluation and the hardening of designs implemented on SRAM-based Field Programmable Gate Arrays against the radiation induced effects such as Single Event Upsets (SEUs) or Soft-Errors (SEs). The perspective of the analysis and the design flows proposed in this manuscript are aimed at defining a novel and complete design methodology solving the industrial designers needs for implementing electronic systems using SRAM-based FPGAs in critical environments, like the space or avionic ones. The main contribution of the proposed manuscript consists in a new reliability-oriented place and route algorithm that, coupled with Triple Modular Redundancy (TMR), is able to effectively mitigate the effects of radiation in SRAM-based FPGA devices. The manuscript offers also the analysis of several fields where the usage of reconfigurable logic devices introduces several advantages such as the reconfigurable computing for multimedia applications and biomedical applications.
Computer help at home: methods and motivations for informal technical support
Authors: Erika Shehan Poole, Marshini Chetty, Tom Morgan, Rebecca E. Grinter, W. Keith Edwards
Venue: Proceedings of the 27th international conference on Human factors in computing systems (2009)

Prior research suggests that people may ask their family and friends for computer help. But what influences whether and how a "helper" will provide help? To answer this question, we conducted a qualitative investigation of people who participated in computer support activities with family and friends in the past year. We describe how factors including maintenance of one's personal identity as a computer expert and accountability to one's social network determine who receives help and the quality of help provided. We also discuss the complex, fractured relationship between the numerous stakeholders involved in the upkeep of home computing infrastructures. Based on our findings, we provide implications for the design of systems to support informal help-giving in residential settings.
Coverage-guided test generation for continuous and hybrid systems
Authors: Thao Dang, Tarik Nahhal
Venue: Formal Methods in System Design (2009)

In this paper, we describe a formal framework for conformance testing of continuous and hybrid systems, using the international standard `Formal Methods in Conformance Testing' FMCT. We propose a novel test coverage measure for these systems, which is defined using the star discrepancy notion. This coverage measure is used to quantify the validation `completeness'. It is also used to guide input stimulus generation by identifying the portions of the system behaviors that are not adequately examined. We then propose a test generation method, which is based on a robotic motion planning algorithm and is guided by the coverage measure. This method was implemented in a prototype tool that can handle high dimensional systems (up to 100 dimensions).
Algorithms for Sensor Networks: What Is It Good for?
Authors: Roger Wattenhofer
Venue: Algorithmic Aspects of Wireless Sensor Networks: Fourth International Workshop, ALGOSENSORS 2008, Reykjavik, Iceland, July 2008. Revised Selected Papers (2008)

Absolutely nothing!? The merit of theory and algorithms in the context of wireless sensor and ad hoc networks is often questioned. Admittedly, coming up with theory success stories that will be accepted by practitioners is not easy. In my talk I will discuss the current score of the Theory vs. Practice game, after playing seven years for the Theory team. Probably due to a "seven year itch", I recently also started playing for the Practice team.
Identifying false alarm for network intrusion detection system using data mining and decision tree
Authors: Nor Badrul Anuar, Hasimi Sallehudin
Venue: Proceedings of the 7th conference on Data networks, communications, computers (2008)

Although an intelligent intrusion and detection strategies are used to detect any false alarms within network critical segments of network infrastructures, reducing false positives are still being a major challenges. Up to this moment, these strategies focus on either detection or response features, but often lack of having both features together. Without considering those features together, intrusion detection systems are probably cannot highly detect on low false alarm rates. To offset abovementioned constraints, this paper proposes a strategy to focus on detection involving statistical analysis of both attack and normal traffics based on the training data of KDD Cup 99. This strategy is also included a hybrid statistical approach which using Data Mining and Decision Tree Classification. As a result, the statistical analysis can be manipulated to reduce misclassification of false positives and distinguish between attacks and false positives for the data of KDD Cup 99. Therefore, this strategy can be used to evaluate and enhance the capability of the IDS to detect and at the same time to respond to the threats and benign traffic in critical segments of network, application and database infrastructures.
A nonlinear observer of estimating rotor flux in induction motor
Authors: Chouya Ahmed
Venue: Proceedings of the 7th conference on Circuits, systems, electronics, control and signal processing (2008)

In this paper, a new algorithm for the estimation of the rotor flux of induction motor is presented. The proposed method is based on the combination of nonlinear observer. The observation is done in two stapes: a stape of prediction, which consists to evaluate the variables of state starting from the equations of the model and a stape of correction. Where the taking into account the form of the gains theoretically changes the class of the observer and its behaviour. Although the observer is not designed to reduce the errors in transient state, this last characteristic is also improved. The simulation of the observer as well as the induction motor was accomplished by means of the software MATLAB/SIMULINK; this last allows to simulate the dynamic systems in a simple way and in graphic environment.
Computer algorithms for analyzing patient data
Authors: Jonathan Clive, Lee B. Lusted, Casimir Kulikowski, T. Allan Pryor, Bruce McCormick
Venue: Proceedings of the May 6-10, 1974, national computer conference and exposition (1974)

This topic deals with the computer-assisted evaluation of the questions of which several alternative diagnostic states might apply to a particular patient. We are also concerned here with the choice of therapy once a disease presence has been established. The computer-assistance scenario of this type must take into account both the types of diseases for which it is being instituted and possibly large amounts of patient data.
Multilevel turbo coded-continuous phase frequency shift keying (MLTC-CPFSK)
Authors: Niyazi Odabasioglu, Osman N. Ucan
Venue: Computers and Electrical Engineering (2009)

In this paper, we introduce a Turbo coded modulation scheme, called multilevel turbo coded-continuous phase frequency shift keying (MLTC-CPFSK). The underlying basis of multilevel coding is to partition a signal set into several levels and to encode separately each level through the respective layer of the encoder. In MLTC-CPFSK, to provide phase continuity of the signals, turbo encoder and continuous phase encoder (CPE) are serially concatenated at the last level, while all other levels consist of only a turbo encoder. Therefore, the proposed system contains multiple turbo encoder/decoder blocks in its architecture. The parallel input data sequences are encoded by our multilevel scheme and mapped to CPFSK signals. Then, for the purpose of performance analysis, these modulated signals are passed through AWGN and fading channels. At the receiver side, the input sequence of the first level is estimated by the first turbo decoder block. Subsequently, the other input sequences of other levels are computed using the estimated input bit streams of the respective previous levels. Simulation results are drawn for 4-ary CPFSK two level and 8-ary CPFSK three level turbo codes over AWGN, Rician, and Rayleigh channels for three iterations while frame sizes are chosen as 100 and 1024. It is concluded that satisfactory performance is achieved in MLTC-CPFSK systems for all SNR values in various fading environments.
Representations of a fixed-point subalgebra of a class of lattice vertex operator algebras by an automorphism of order three
Authors: Kenichiro Tanabe, Hiromichi Yamada
Venue: European Journal of Combinatorics (2009)

This is a summary of our recent work. We study a fixed-point subalgebra of a certain class of lattice vertex operator algebras by an automorphism of order 3, which is a lift of a fixed-point-free isometry of the underlying lattice. The classification of the irreducible modules, together with the rationality and the C"2-cofiniteness of the subalgebra are established. Our result contains the case of the vertex operator algebra associated with the Leech lattice.
Designing usable online stores: A landscape preference perspective
Authors: Younghwa Lee, Kenneth A. Kozar
Venue: Information and Management (2009)

Developing an explanatory theoretical model of website usability is pivotal for understanding usable website design. Such a model would explain and help predict the effects of website usability on online purchases, but few studies have been devoted to such model development. As an exploratory effort, we adopted and extended Kaplan's landscape preference model by including factors of legibility, coherence, variety, and mystery, and examined their effect on cognitive and affective appraisals and their impact on purchase intention. A field survey with 495 online customers using two different categories of websites was conducted to validate the research model. A multi-group analysis with gender and age was performed to cross-validate it. Our findings demonstrated that the proposed model explained a large amount of the variance of purchase intention, invariant across different subgroups. Key implications for theory and practice are discussed.
A predictive estimator of finite population mean using nonparametric regression
Authors: M. Rueda, I. R. Sánchez-Borrego
Venue: Computational Statistics (2009)

The paper considers the problem of estimating the population mean using auxiliary information. We propose a new model-based estimator of the population mean, based on local polynomial regression. This estimator exhibits several attractive properties under the model-based approach. The estimator is compared to a number of methods which have been proposed in the literature via a simulation study based on several populations.
Mixed integer programming formulations for single machine scheduling problems
Authors: Ahmet B. Keha, Ketan Khowala, John W. Fowler
Venue: Computers and Industrial Engineering (2009)

In this paper, the computational performance of four different mixed integer programming (MIP) formulations for various single machine scheduling problems is studied. Based on the computational results, we discuss which MIP formulation might work best for these problems. The results also reveal that for certain problems a less frequently used MIP formulation is computationally more efficient in practice than commonly used MIP formulations. We further present two sets of inequalities that can be used to improve the formulation with assignment and positional date variables.
The research queueing package: past, present, and future
Authors: Charles H. Sauer, Edward A. Macnair, James F. Kurose
Venue: Proceedings of the June 7-10, 1982, national computer conference (1982)

Queueing networks are important as performance models of systems where performance is principally affected by contention for resources. Such systems include computer systems, communication networks, office systems and manufacturing lines. In order to effectively use queueing networks as performance models, appropriate software is necessary for definition of the networks to be solved, for solution of the networks (by numerical, approximate and/or simulation methods) and for examination of the performance measures obtained. One of the most widely known and influential pieces of queueing network software is the Research Queueing Package (RESQ). This paper discusses the evolution of RESQ and plans for further RESQ development.
Developing a profile of the user of electronic content
Authors: Jordan Stoyanov, Georgi Todorov
Venue: Proceedings of the 9th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing (2008)

This paper discusses certain aspects of developing a profile of the user of electronic content. The term "user profile", as being used in this paper, refers to the knowledge acquired by a team administrating a web site with regard to the common characteristics and behaviour of the "typical" web site user.
A curvilinear collision avoidance scheme for interactive 3D gaming environments
Authors: Ziad Sakr, Chanan Sudama
Venue: Proceedings of the 2008 International Conference on Advances in Computer Entertainment Technology (2008)

With the growing number of participants in Interactive 3D Gaming Environments in recent years, there has been research demand for making the user's presence and participation in these environments appear more natural and real. Avatar locomotion is an important contributor to improving the realism of interactive games. One of the interests of many researchers is investigating the locomotion characteristics of avatars in an interactive game, with a primary focus on avatar collision detection and avoidance. This paper presents a novel Curvilinear Avatar with Avatar Collision Detection Scheme (CAACD) that provides a collision-free environment for avatars going in a linear as well as curvilinear motion with changing velocity.
Global Signal Elimination and Local Signals Enhancement from EM Radiation Waves Using Independent Component Analysis
Authors: Motoaki Mouri, Arao Funase, Andrzej Cichocki, Ichi Takumi, Hiroshi Yasukawa, Masayasu Hata
Venue: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (2008)

Anomalous environmental electromagnetic (EM) radiation waves have been reported as the portents of earthquakes. Our study's goal is predicting earthquakes using EM radiation waves by detecting some anomalies. We have been measuring the Extremely Low Frequency (ELF) range EM radiation waves all over Japan. However, the recorded data contain signals unrelated to earthquakes. These signals, as noise, confound earthquake prediction efforts. In this paper, we propose an efficient method of global signal elimination and enhancement local signals using Independent Component Analysis (ICA). We evaluated the effectiveness of this method.