ppxscal/embedding_network huggingface dataset:
Modular global optimisation in chemical engineering
Authors: S. Balendra, I. D. Bogle
Venue: Journal of Global Optimization (2009)

Chemical Engineering design and analysis is dominated by the use of modular computational systems restricting the use of rigorous global optimisation techniques. Other engineering domains also exploit modularity in order to break down complex tasks to allow the use of legacy codes, to protect intellectual property, and to allow large teams to work on problems. By casting modules in a generic form such systems could be recast to incorporate interval based methods. In this paper we explore the use of five interval contraction methods to improve the performance of interval based optimization of modular process design systems: consistency methods, constraint propagation, Interval Gaussian elimination, Interval Newton and Linear Programming. It is shown that the Linear Programming contractor provides the greatest value in contracting the intervals and that constraint propagation and Interval Gaussian elimination (as implemented here) provides less of an impact. Other contractors do provide value and the LP contractor will be of less value as the problem size increases so it is necessary to include a number of contractors which can be done at small computational cost. A number of challenges are outlined which need to be addressed before there can be routine use of interval global optimization in modular systems.
Semantic Web Service Composition Framework Based on Parallel Processing
Authors: Peter Bartalos, Mária Bielikova
Venue: Proceedings of the 2009 IEEE Conference on Commerce and Enterprise Computing (2009)

The process of semantic web service composition arranges several web services into one composite service to realize complex workflows with an exploitation of semantics. This paper proposes a framework to automatic semantic web service composition. Its advantage is that a huge amount of computation is performed during preprocessing and the composition approach is designed to exploit the parallel execution of processes which is nowadays supported in multiprocessor platforms. The framework is built to suit the WS Challenge competition requirements.
A Constraint Projection and Genetic Algorithm Based Support Vector Machines Selective Ensemble
Authors: Hu Shengli
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 03 (2009)

This paper proposes a novel selective ensemble algorithm of support vector machines based on constraint projection and genetic optimization. Firstly, projective matrices are determined upon randomly selected must-link and cannot-link constraint sets, with which original training samples are transformed into different representation spaces to train a group of base classifiers. Then, genetic algorithm is utilized to learn the optimal weighting factors to combine them effectively. Experimental results on UCI datasets show that the proposed algorithm improves generalization performance of support vector machines significantly, which outperforms classical ensemble algorithms, such as Bagging, Boosting, feature Bagging and LoBag. 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
Optimization Model for Real Estate Online Marketing Efficiency Evaluation Based on Fuzzy Theory
Authors: Dongxiao Liu, Min Zhang
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 02 (2009)

Real estate development has been regarded as a kind of economic issue of high investment, high profit, and high risk. Nowadays, more and more attention has bee paid on online marketing. With the rapid development of residential real estate market, real estate electronic marketing has been widely applied, and its efficiency evaluation has been an important task in the process of project. New quantitative model of evaluating the online marketing of a real estate project has been proposed in this article. In this paper, we describes a fuzzy evaluation method for residential real estate electronic marketing based on network DEA which uses linguistic variables and respective fuzzy numbers to evaluate the factors. The electronic marketing can be divided into several connected section. A major advantage of the method is that it allows experts and engineers to express their opinions on online marketing efficiency evaluation in linguistic variables rather than crisp values. An illustration is presented to demonstrate the application of the method in efficiency evaluation. The research demonstrates that the method is of an application value in the efficiency evaluation for the process of residential real estate electronic marketing.
A Novel Over Modulation Strategy for Two-Stage Matrix Converter
Authors: Zhiyong Li, Xiangdong Kong, Xiaoying Li
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

A lot of research has been made on space vector modulation (SVM) strategy of matrix converter, but research on over modulation strategy of MC is almost blank. This paper analyzed conventional control theory of two-stage matrix converter, derived voltage transmission characteristic, then presented an over modulation method, which covered the entire over modulation range. The method was divided into two steps. The rectifier side was first separated into six intervals to get the maximum DC voltage, and then a novel over modulation strategy was invented for the inverter side, which effectively enhanced voltage transfer ratio to 1.05 with good linearity. At last, the method was extensively investigated with matlab under both output voltage and spectrum wave. Theoretical analysis and simulation results showed that the over modulation methodology proposed in this paper was feasible and liable.
Comparing the roles of textual, acoustic and spoken-language features on spontaneous-conversation summarization
Authors: Xiaodan Zhu, Gerald Penn
Venue: Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers on XX (2006)

This paper is concerned with the summarization of spontaneous conversations. Compared with broadcast news, which has received intensive study, spontaneous conversations have been less addressed in the literature. Previous work has focused on textual features extracted from transcripts. This paper explores and compares the effectiveness of both textual features and speech-related features. The experiments show that these features incrementally improve summarization performance. We also find that speech disfluencies, which have been removed as noise in previous work, help identify important utterances, while the structural feature is less effective than it is in broadcast news.
A Novel Application of Variable Fuzzy Set on Alarming of Coalmine Gas
Authors: Zhao Jinhui, Li Mingliang, Qian Xu, Jia Lijuan
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02 (2009)

A novel alarming assessment model of coalmine gas is presented in this paper. Based on the information fusion technique of multi-sensor, we introduce the thought of variable fuzzy set to assess complicated and risk coalmine gas. Through information fusion we can get more effective and reliable data about coalmine gas. The method for variable fuzzy set theory can reasonable identify the relative membership degree between the sample indexes and standard interval of each level index, and reasonably determine the evaluation of each sample by varying the model and its parameters. The numerical examples show that the proposed method is feasible and effective, and the evaluation results are reasonable.
Question answering based on semantic roles
Authors: Michael Kaisser, Bonnie Webber
Venue: Proceedings of the Workshop on Deep Linguistic Processing (2007)

This paper discusses how lexical resources based on semantic roles (i.e. FrameNet, PropBank, VerbNet) can be used for Question Answering, especially Web Question Answering. Two algorithms have been implemented to this end, with quite different characteristics. We discuss both approaches when applied to each of the resources and a combination of these and give an evaluation. We argue that employing semantic roles can indeed be highly beneficial for a QA system.
A Power-Scalable Switch-Based Multi-processor FFT
Authors: Bassam Jamil Mohd, Earl E. Swartzlander Jr.
Venue: Proceedings of the 2009 20th IEEE International Conference on Application-specific Systems, Architectures and Processors (2009)

This paper examines the architecture, algorithm and implementation of a switch-based multi-processor realization of the fast Fourier transform (FFT). The architecture employs M processing elements (PEs), and provides a speedup of M compared with systems that use a single PE. An algorithm is provided to detect and resolve memory conflicts. A CMOS implementation of a four-PE processor is presented. The design is reconfigurable to compute various FFT sizes. The design power consumption is scalable based on the number of active PEs. The timing, area and power results are discussed.
Comparison between the Actual Microwave Terrestrial Links Performance and Different Models
Authors: Diaa Sayed, Hesham Badwy, Hadya El Hennawy
Venue: Proceedings of the 2009 Third International Conference on Sensor Technologies and Applications (2009)

The mobile operators often use point-to-point microwave connections for feeder links in their access networks. Wave propagation at the applied frequencies is highly influenced by participation, especially by environment conditions. Choosing appropriate prediction model we can estimate the performance of microwave links. In this paper, after getting a short description of the availability performance parameters, a comparison between the different models based on unavailability measurements is presented.At the end of this paper, we detect the most suitable prediction model that can be used in design the microwave links.
Semi-automatic entity set refinement
Authors: Vishnu Vyas, Patrick Pantel
Venue: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics (2009)

State of the art set expansion algorithms produce varying quality expansions for different entity types. Even for the highest quality expansions, errors still occur and manual refinements are necessary for most practical uses. In this paper, we propose algorithms to aide this refinement process, greatly reducing the amount of manual labor required. The methods rely on the fact that most expansion errors are systematic, often stemming from the fact that some seed elements are ambiguous. Using our methods, empirical evidence shows that average R-precision over random entity sets improves by 26% to 51% when given from 5 to 10 manually tagged errors. Both proposed refinement models have linear time complexity in set size allowing for practical online use in set expansion systems.
A theory of ultimately periodic languages and automata with an application to time granularity
Authors: Davide Bresolin, Angelo Montanari, Gabriele Puppis
Venue: Acta Informatica (2009)

In this paper, we develop a theory of regular &#x03c9;-languages that consist of ultimately periodic words only and we provide it with an automaton-based characterization. The resulting class of automata, called ultimately periodic automata (UPA), is a subclass of the class of B&#x00fc;chi automata and inherits some properties of automata over finite words (NFA). Taking advantage of the similarities among UPA, B&#x00fc;chi automata, and NFA, we devise efficient solutions to a number of basic problems for UPA, such as the inclusion, the equivalence, and the size optimization problems. The original motivation for developing a theory of ultimately periodic languages and automata was to represent and to reason about sets of time granularities in knowledge-based and database systems. In the last part of the paper, we show that UPA actually allow one to represent (possibly infinite) sets of granularities, instead of single ones, in a compact and suitable to algorithmic manipulation way. In particular, we describe an application of UPA to a concrete time granularity scenario taken from clinical medicine.
Optical Flow from Motion Blurred Color Images
Authors: Yasmina Schoueri, Milena Scaccia, Ioannis Rekleitis
Venue: Proceedings of the 2009 Canadian Conference on Computer and Robot Vision (2009)

This paper presents an algorithm for the estimation of optical flow from a single, motion-blurred, color image. The proposed algorithm is based on earlier work that estimated the optical flow using the information from a single grey scale image. By treating the three color channels separately we improved the robustness of our approach. Since first introduced, different groups have used similar techniques of the original algorithm to estimate motion in a variety of applications. Experimental results from natural as well as artificially motion-blurred images are presented.
In-vehicle technology functional requirements for older drivers
Authors: Andry Rakotonirainy, Dale Steinhardt
Venue: Proceedings of the 1st International Conference on Automotive User Interfaces and Interactive Vehicular Applications (2009)

Older drivers represent the fastest growing segment of the road user population. Cognitive and physiological capabilities diminishes with ages. The design of future in-vehicle interfaces have to take into account older drivers' needs and capabilities. Older drivers have different capabilities which impact on their driving patterns and subsequently on road crash patterns. New in-vehicle technology could improve safety, comfort and maintain elderly people's mobility for longer. Existing research has focused on the ergonomic and Human Machine Interface (HMI) aspects of in-vehicle technology to assist the elderly. However there is a lack of comprehensive research on identifying the most relevant technology and associated functionalities that could improve older drivers' road safety. To identify future research priorities for older drivers, this paper presents: (i) a review of age related functional impairments, (ii) a brief description of some key characteristics of older driver crashes and (iii) a conceptualisation of the most relevant technology interventions based on traffic psychology theory and crash data.
Emotional Bandwidth: Information Theory Analysis of Affective Response Ratings Using a Continuous Slider
Authors: Danielle Lottridge, Mark Chignell
Venue: Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part I (2009)

Emotions are an important part of the user experience in human machine interaction. More standardized methods of emotion measurement are required to assist in evaluating and comparing these experiences. This research introduces the concept of Emotional Bandwidth, a psychometric property of self-reported emotion measured through a continuous, quantitative slider. Emotional Bandwidth is illustrated in a videoconference watching case study. The Shannon-Weaver measure of informational entropy was used to quantify the rating usage bandwidth, which relates to the number of levels of emotional rating effectively utilized by participants. Significant differences in rating usage strategy were found, with four groups being identified; across the four experimental blocks, entropy either increased, decreased, remained constant or irregular. Emotional Bandwidth, the information-theoretic analysis of affect ratings collected with a continuous slider, may be used to characterize changes in participants' emotional self-rating during experiments and evaluations.
Propositional fragments for knowledge compilation and quantified boolean formulae
Authors: Sylvie Coste-Marquis, Daniel Le Berre, Florian Letombe, Pierre Marquis
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 1 (2005)

Several propositional fragments have been considered so far as target languages for knowledge compilation and used for improving computational tasks from major AI areas (like inference, diagnosis and planning); among them are the (quite influential) ordered binary decision diagrams, prime implicates, prime implicants, "formulae" in decomposable negation normal form. On the other hand, the validity problem QBF for Quantified Boolean Formulae (QBF) has been acknowledged for the past few years as an important issue for AI, and many solvers have been designed for this purpose. In this paper, the complexity of restrictions of QBF obtained by imposing the matrix of the input QBF to belong to such propositional fragments is identified. Both tractability and intractability results (PSPACE-completeness) are obtained.
Asymmetric Feature Selection for BGP Abnormal Events Detection
Authors: Yuhai Liu, Lintao Ma, Ning Yang, Ying He
Venue: Proceedings of the 5th International Conference on Advanced Data Mining and Applications (2009)

Border Gateway Protocol (BGP), which is the defacto standard inter-domain routing protocol in the Internet today, has severe problems, such as worm viruses, denial of service (DoS) attacks, etc. To ensure the stability and security of the inter-domain routing system in the autonomy system, it is critical to accurately and quickly detect abnormal BGP events. In this paper, a novel feature selection algorithm based on the asymmetric entropy named FSAMI is proposed to evaluate the characteristics of describing the BGP abnormal events, which is independent on the machine learning methods. Meanwhile the under-sampling, neural network (NN) and feature selection are introduced to predict BGP abnormal activities to treat the imbalance problem. Numerical experimental results on RIPE archive data set show that the FSAMI method improves the g_means values of abnormal events detection and helps to improve the prediction ability.
Effect of Interaction Characteristics of Virtual Environments on Spatial Representation
Authors: Zuo Wuheng, Xu Baihua, Feng Zhilin, Yuan He, Zhao Duanyang
Venue: Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 02 (2009)

The effect of interaction characteristics such as display size and active/passive navigation on spatial representation was investigated when participants repeatedly navigated complex three-dimensional virtual maze. The study was divided into two main phases: learning and test. Participants navigated respectively under active or passive navigation style and two display sizes condition during learning phase. Spatial representation was examined by testing estimation of directions in the environment. Participants judged more accurately in active navigation and large projection display condition than in passive navigation and desktop monitor condition. Findings further show that the effects of active or passive navigation style and display size on spatial representation are dependent.
Comparing user simulation models for dialog strategy learning
Authors: Hua Ai, Joel R. Tetreault, Diane J. Litman
Venue: Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers on XX (2007)

This paper explores what kind of user simulation model is suitable for developing a training corpus for using Markov Decision Processes (MDPs) to automatically learn dialog strategies. Our results suggest that with sparse training data, a model that aims to randomly explore more dialog state spaces with certain constraints actually performs at the same or better than a more complex model that simulates realistic user behaviors in a statistical way.
Visualization of large-scale weighted clustered graph: a genetic approach
Authors: Jiayu Zhou, Youfang Lin, Xi Wang
Venue: Proceedings of the 23rd national conference on Artificial intelligence - Volume 3 (2008)

In this paper, a bottom-up hierarchical genetic algorithm is proposed to visualize clustered data into a planar graph. To achieve global optimization by accelerating local optimization process, we introduce subgraph rotating and scaling processes into the genetic algorithm. Compared with existing methods, the proposed approach is more feasible and promising, with more accurate graph layout and more satisfiable computationally efficient performance, as demonstrated by the experimental results.
Thumbs-Up: a game for playing to rank search results
Authors: Ali Dasdan, Chris Drome, Santanu Kolay, Micah Alpern, Alice Han, Tom Chi, Jamie Hoover, Ivan Davtchev, Sharad Verma
Venue: Proceedings of the ACM SIGKDD Workshop on Human Computation (2009)

Human computation is an effective way to channel human effort spent playing games to solving computational problems that are easy for humans but difficult for computers to automate. We propose Thumbs-Up, a new game for human computation with the purpose of playing to rank search result. Our experience from users shows that Thumbs-Up is not only fun to play, but produces more relevant rankings than both a major search engine and optimal rank aggregation using the well-known Kemeny rule.
Facial Shape Variation of U.S. Respirator Users
Authors: Ziqing Zhuang, Dennis Slice, Stacey Benson, Douglas Landsittel, Dennis Viscusi
Venue: Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009 (2009)

The National Institute for Occupational Safety and Health (NIOSH) conducted a head-and-face anthropometric survey of diverse, civilian respirator users. Of the 3,997 subjects measured using traditional anthropometric techniques, surface scans and 26 three-dimensional (3-D) landmark locations were collected for 953 subjects. The objective of this study was to analyze the size and shape variation of the survey participants using 3-D Generalized Procrustes Analysis (GPA) in order to quantify those facial features that may be relevant to respirator fit using Principal Component Analysis (PCA). The first four principal components (PC) account for 49% of the total sample variation. The first PC indicates that overall size is an important component of facial variability. The second PC accounts for long and narrow or short and wide faces. Longer narrow orbits versus shorter wider orbits can be described by PC3, and PC4 represents variation in the degree of ortho/prognathism with positively scoring individuals having longer, wider, and more projecting lower jaws than negatively scoring individuals. Further study will investigate the correlation between respirator fit and these PCs.