ppxscal/embedding_network huggingface dataset:
Classification and interactive segmentation of EEG synchrony patterns
Authors: Alfonso Alba, José L. Marroquín, Edgar Arce-Santana, Thalía Harmony
Venue: Pattern Recognition (2010)

This paper presents a novel methodology for the exploratory analysis of power and synchronization patterns in EEG data from psychophysiological experiments. The methodology is based on the segmentation of the time-frequency plane in regions with relatively homogeneous synchronization patterns, which is performed by means of a seeded region-growing algorithm, and a Bayesian regularization procedure. We have implemented these methods in an interactive application for the study of cognitive experiments, although some of the techniques discussed in this work can also be applied to other multidimensional data sets. To demonstrate our methodology, results corresponding to a figure and word categorization EEG experiment are presented.
Time Series Analysis for Long Term Prediction of Human Movement Trajectories
Authors: Sven Hellbach, Julian P. Eggert, Edgar Körner, Horst-Michael Gross
Venue: Advances in Neuro-Information Processing: 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part II (2009)

This paper's intention is to adapt prediction algorithms well known in the field of time series analysis to problems being faced in the field of mobile robotics and Human-Robot-Interaction (HRI). The idea is to predict movement data by understanding it as time series. The prediction takes place with a black box model, which means that no further knowledge on motion dynamics is used then the past of the trajectory itself. This means, the suggested approaches are able to adapt to different situations. Several state-of-the-art algorithms such as Local Modeling, Cluster Weighted Modeling, Echo State Networks and Autoregressive Models are evaluated and compared. For experiments, real movement trajectories of a human are used. Since mobile robots highly depend on real-time application, computing time is also considered. Experiments show that Echo State Networks and Local Model show impressive results for long term motion prediction.
Construction of Supply Chain Quality Performance Measurement System Based on the Excellent Performance Criteria
Authors: Chen Yaoli
Venue: Proceedings of the 2009 IITA International Conference on Services Science, Management and Engineering (2009)

Performance measures are critical to the success of supply chain. As to the study on supply chain performance and supply chain quality performance measurement, the present researches are mainly about single corporate and less about the whole supply chain quality performance. Based on the excellent performance criteria of the United States Malcolm Baldrige Award, this paper proposes that the Performance Excellence model may become the theoretical foundation of supply chain quality performance measurement, and then establishes the supply chain quality performance measurement system.
Cycle-Free Finite Automata in Partial Iterative Semirings
Authors: Stephen L. Bloom, Zoltan Ésik, Werner Kuich
Venue: Proceedings of the 3rd International Conference on Algebraic Informatics (2009)

We consider partial Conway semirings and partial iteration semirings, both introduced by Bloom, Ésik, Kuich [2]. We develop a theory of cycle-free elements in partial iterative semirings that allows us to define cycle-free finite automata in partial iterative semirings and to prove a Kleene Theorem. We apply these results to power series over a graded monoid with discounting.
Application of Lib2.0 Technology in Specialty Reference Room/SRR Website of Institute of Higher Learning
Authors: Liu Peihua, Han Xiaoting, Niu Li
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01 (2009)

Based on some Significance about the construction of SRR website in the institute of higher learning, this article first of all introduces the Lib2.0 technology, expounding the possibility of applying Lib2.0 technology in the construction of SRR website; Secondly, the article summarizes the present situation of Lib2.0 technology being applied in SRR of the institute of higher learning; And finally, combining Lib2.0 with Web2.0, the article puts forward a couple of viewpoints concerning Lib2.0 technology to be applied in the construction of SRR website.
Proceedings of the International Workshop on Cross-Language Knowledge Induction
Venue: ACL Workshops (2006)

Knowledge of the behavior of words and text in other languages has recently been used to help solving tasks in a first language. An example of such a task is word-sense disambiguation by using translations in a second language. Another example is verb classification by studying properties of verbs in several languages.
Toward Modeling and Teaching Legal Case-Based Adaptation with Expert Examples
Authors: Kevin Ashley, Collin Lynch, Niels Pinkwart, Vincent Aleven
Venue: Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development (2009)

Studying examples of expert case-based adaptation could advance computational modeling but only if the examples can be succinctly represented and reliably interpreted. Supreme Court justices pose hypothetical cases, often adapting precedents, to evaluate if a proposed rule for deciding a problem needs to be adapted. This paper describes a diagrammatic representation of adaptive reasoning with hypothetical cases based on a process model. Since the diagrams are interpretations of argument texts, there is no one "correct" diagram, and reliability could be a challenge. An experiment assessed the reliability of expert grading of diagrams prepared by students reconstructing examples of hypothetical reasoning. Preliminary results indicate significant areas of agreement, including with respect to the ways tests are modified in response to hypotheticals, but slight agreement as to the role and import of hypotheticals. These results suggest that the diagrammatic representation will support studying and modeling the examples of case-based adaptation, but that the diagramming support needs to make certain features more explicit.
A Hybrid Feature Selection Method Using Gene Expression Data
Authors: Li-Yeh Chuang, Kuo-Chuan Wu, Cheng-Hong Yang
Venue: Proceedings of the 2009 Ninth IEEE International Conference on Bioinformatics and Bioengineering (2009)

In this paper, correlation-based feature selection (CFS) and the Taguchi-genetic algorithm (TGA) method were combined in a hybrid method, and the K-nearest neighbor (KNN) method with leave-one-out cross-validation (LOOCV) served as a classifier for eleven classification profiles. With the help of this classifier classification accuracy were calculated. Experimental results show that this method effectively simplifies features selection by reducing the total number of features needed. The proposed method obtained the highest classification accuracy in five out of the six gene expression data set test problems when compared to other classification methods from the literature.
Learning n-best correction models from implicit user feedback in a multi-modal local search application
Authors: Dan Bohus, Xiao Li, Patrick Nguyen, Geoffrey Zweig
Venue: Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue (2008)

We describe a novel n-best correction model that can leverage implicit user feedback (in the form of clicks) to improve performance in a multi-modal speech-search application. The proposed model works in two stages. First, the n-best list generated by the speech recognizer is expanded with additional candidates, based on confusability information captured via user click statistics. In the second stage, this expanded list is rescored and pruned to produce a more accurate and compact n-best list. Results indicate that the proposed n-best correction model leads to significant improvements over the existing baseline, as well as other traditional n-best rescoring approaches.
Nitrogen Removal Mechanism of Fresh Leachate Treatment Using Sequencing Aged Refuse Bioreactors
Authors: Yingjie Sun, Xiaojie Sun, Huixia Wang, Youcai Zhao
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

In this study, the aged refuse excavated from a 10-year old closed landfill compartment at Shanghai Laogang Refuse Landfill was used as the substrate in a sequencing aged refuse bioreactor process for treatment of fresh landfill leachate which sampled from the balance tank in the same landfill. Typically, screened aged refuse with a diameter less than 8 mm was used as bio-filtration material in the two round shaped bioreactor with an inner diameter of 40 cm and a height of 130 cm. Influent fresh leachate with initial CODCr, TN and NH3-N concentrations of 11000～15000, 1340～1770 and 11200～1650 mg/L, respectively, was introduced into the system. The corresponding concentrations in the effluent were reduced to below 300, about 250, and below 15mg/L, respectively. The sequencing aged refuse process is effective in the fresh leachate treatment, the removal efficiency of COD and TN removal is about 90% and 80% respectively, and the ammonia nitrogen transformation efficiency is about 99.5%. The treatment mechanism of nitrogen removal was studied. In the process, the nitrogen removal is mainly due to the simultaneous nitrification and denitrification in both bioreactors. Recirculated nitrate nitrogen denitrification exists in bioreactor 1, but is not the main nitrogen removal pathway, which is different from the nitrogen removal mechanism in aged leachate treatment.
A Modified Differential Evolution Multi-objective Optimization Method
Authors: L. B. Zhang, X. L. Xu, C. T. Sun, C. G. Zhou
Venue: Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 01 (2009)

Differential Evolution (DE) is population based, direct search, global optimization new algorithm. DE is simple and efficient, so solving Multi-objective Optimization Problems (MOP) using DE has become a new hot research topic. It was found in the research process that there are deteriorations in the process of solving MOP based on DE. Due to deterioration occurs, thus the convergence can no longer be guaranteed for the algorithm, and the efficiency is reduced for solving. This paper proposed resolve methods correspond to these two deteriorations. Numerical experiments show the effectiveness of the proposed algorithm.
Real-time PMSM Temperature Rising in Electric Vehicles with MRAS
Authors: Wang Zhi-fu, Teng Qi-zhi, Zhang Cheng-ning, Nan Jin-rui
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 03 (2009)

A new method to calculate the permanent magnet synchronous motor (PMSM) temperature rising in electric vehicle (EV) was proposed based on the stator resistance identification. The measure theory of the motor temperature rising with the stator resistance was discussed at firstly. A PMSM dynamic math model was built which was the research object. Then the resistance identification system model was built on the model reference adaptive system (MRAS) theory. The simulation diagram of the mutual MRAS model was constructed and the resistance identification performance was studied in different motor states.Simulation results indicate that the stator resistance identification model with the MRAS was effective.At the same time, the identification of motor temperature rising was possible with the identification of the stator resistance identification.
The information-processing difficulty of incremental parsing
Authors: John Hale
Venue: Proceedings of the Workshop on Incremental Parsing: Bringing Engineering and Cognition Together (2004)

When an incremental parser gets the next word, its expectations about upcoming grammatical structures can change. When a word greatly constrains these grammatical expectations, uncertainty is reduced. This elimination of possibilities constitutes information processing work. Formalizing this notion of information processing work yields a complexity metric that predicts human repetition accuracy scores across a systematic class of linguistic phenomena, the Accessibility Hierarchy of relativizable grammatical relations.
BCM Mechanism Based on Infinite-horizon Growth Model in E-commerce
Authors: Gang Chen
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 01 (2009)

Applying Romer model to Business Continuity Management (BCM) of E-commerce will greatly improve the reliability and security of E-commerce. There are three levels in Mechanism of Business Continuity Management Mechanism Based on infinite-hotizon growth model such as Hardware, the resource Database and. The appliance of the Mechanism in an online-book store is proven it’s efficiency.
Frequency and Time Domain Crosstalk Signal Analysis for Integrated High-Density Circuits
Authors: Yinchao Chen, Shuhui Yang, Liguo Sun, Kunquan Sun
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 03 (2009)

Crosstalk is one of the greatest concerns in the design of integrated high-density circuits, especially in high frequency range, due to that it seriously leads to a wireless communication system deviating from its designed performance. In this paper, we analyze the frequency and time domain crosstalk effects between two traces as a function of their spacing and orientation. It is found that two vertical traces result in a smallest crosstalk and that the crosstalk signals are insensitive to the spacing increment between two parallel traces in the range investigated.
Mutual Information Analysis: How, When and Why?
Authors: Nicolas Veyrat-Charvillon, François-Xavier Standaert
Venue: Proceedings of the 11th International Workshop on Cryptographic Hardware and Embedded Systems (2009)

The Mutual Information Analysis (MIA) is a generic side-channel distinguisher that has been introduced at CHES 2008. This paper brings three contributions with respect to its applicability to practice. First, we emphasize that the MIA principle can be seen as a toolbox in which different (more or less effective) statistical methods can be plugged in. Doing this, we introduce interesting alternatives to the original proposal. Second, we discuss the contexts in which the MIA can lead to successful key recoveries with lower data complexity than classical attacks such as, e.g. using Pearson's correlation coefficient. We show that such contexts exist in practically meaningful situations and analyze them statistically. Finally, we study the connections and differences between the MIA and a framework for the analysis of side-channel key recovery published at Eurocrypt 2009. We show that the MIA can be used to compare two leaking devices only if the discrete models used by an adversary to mount an attack perfectly correspond to the physical leakages.
Point/Counterpoint
Authors: Janice Singer, Mark Vigder, Judith Segal, Steven Clarke
Venue: IEEE Software (2009)

How much software engineering training do end-user programmers need? Janice Singer and Mark Vigder (National Research Council Canada) debate this issue with Judith Segal (Open University) and Steven Clarke (Microsoft).
Conflicts in Human Operator --- Unmanned Vehicles Interactions
Authors: Frédéric Dehais, Stephane Mercier, Catherine Tessier
Venue: Proceedings of the 8th International Conference on Engineering Psychology and Cognitive Ergonomics: Held as Part of HCI International 2009 (2009)

In the context of the supervision of one or several unmanned vehicles by a human operator, the definition and the dynamics of the shared authority among these agents is a major challenge. Indeed, lessons learned from modern aviation reveals that authority sharing issues between aircrews and on-board processes are remarkable precursors of air accidents (twenty accidents in the last twenty years). The analysis of these events highlights that the authority of the on-board processes is designed a priori and fails to adapt in case of conflict with the aircrew's actions. Moreover the poor design of the HMIs (e.g. : there is no dialogue between artificial and human agents) and the complexity of the interactions may lead the aircrews to lose situation awareness and to enter a perseveration syndrome. We present the basic concepts of an approach aiming at dynamically adjusting the autonomy of an agent in a mission relatively to its operator, based on formal detection of conflict. An experimental set-up is under construction to assess our hypotheses.
Modeling Complex Relationships
Authors: Mengchi Liu, Jie Hu
Venue: Proceedings of the 20th International Conference on Database and Expert Systems Applications (2009)

Real world objects have various natural and complex relationships with each other and via these relationships, objects play various roles that form their context and then have the corresponding context-dependent properties. Existing data models such as object-oriented models and role models cannot naturally and directly represent such complex relationships and context-dependent properties. In this paper, we present a method to provide such natural and direct support.
Spatial-Temporal Characteristics of Urban Morphology in Xinjiang, China
Authors: Liu Yaxuan, Zhang Xiaolei, Lei Jun, Zhu Lei
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02 (2009)

Taken growth speed, growth intensity, fractal dimension and compactness index as urban spatial characteristic indices, 18 cities’ urban area is investigated in 10 years in a quantitative perspective, and their changes are also analyzed. It is clear that these indices can not only scientifically and explicitly assess the urban morphology and their changes, but also uncover effects of history, environment, economy and urban planning on urban morphology.
Analyzing Metadata Performance in Distributed File Systems
Authors: Christoph Biardzki, Thomas Ludwig
Venue: Proceedings of the 10th International Conference on Parallel Computing Technologies (2009)

The performance of metadata processing in large distributed file systems currently presents larger challenges than scaling of data throughput. The paper presents a novel, distributed benchmark called DMetabench for measuring the performance of metadata operations (e.g. file creation). DMetabench runs in environments with potentially thousands of nodes and allows an assessment of the scalability of metadata operations. Additionally, precise run-time performance data is preserved which allows for a better understanding of performance artifacts. Validation results from production file systems at the Leibniz Supercomputing Centre (LRZ) are provided and discussed. Possible applications of knowledge about metadata performance scaling include the choice of an optimal parallelization strategy for metadata-itensive workload in a specific runtime environment.
Risk Evaluation Process Model of Information Security
Authors: Jing Liu
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

The risk assessment applied in information technology is the information security risk evaluation. A modeling method of security system that is suitable to description results and restriction of information and to modeling form and control of distributed system is put forward based on the analysis of the concept of security system risk evaluation in the field of information security. A model of information security evaluation process has been built based on Petri net. The process is divided into several objects, such as assets identification, threats identification, vulnerability identification and existing security control measures identification etc. and make a detailed description to each object on Petri net theory.
An Analysis of Saccadic Eye Movements and Facial Images for Assessing Vigilance Levels During Simulated Driving
Authors: Akinori Ueno, Shoyo Tei, Tomohide Nonomura, Yuichi Inoue
Venue: Proceedings of the 8th International Conference on Engineering Psychology and Cognitive Ergonomics: Held as Part of HCI International 2009 (2009)

The authors analyzed facial video recordings and saccadic eye movements during 1-hour simulated driving in 10 subjects. Mean cross-correlation coefficient between the visually determined facial sleepiness and the proposed index of saccade (i.e. PV/D) for 9 subjects was -0.56 and the maximum coefficient of inverse cross-correlation was 0.83. Mean cross-correlation coefficient for 6 repetitive measurements for another subject was -0.72, and the maximum was 0.84. Variation in PV/D preceded that in facial sleepiness in 13 of 15 measurements and syncronized with it in other 2 measurements. From these results, we confirmed a fair potential of the PV/D to detect decline in vigilance levels earlier than facial sleepiness. We also revealed that narrow fluctuations throughout the measurement could lead to low inverse cross-correlation below 0.60 between the two indices. Therefore experimenter should pay attention to designing the experimental procedure to ensure broad fuctuations of the subject's vigilance levels in the measurement.
Anytime optimal coalition structure generation
Authors: Talal Rahwan, Sarvapali D. Ramchurn, Viet D. Dang, Andrea Giovannucci, Nicholas R. Jennings
Venue: Proceedings of the 22nd national conference on Artificial intelligence - Volume 2 (2007)

A key problem when forming effective coalitions of autonomous agents is determining the best groupings, or the optimal coalition structure, to select to achieve some goal. To this end, we present a novel, anytime algorithm for this task that is significantly faster than current solutions. Specifically, we empirically show that we are able to find solutions that are optimal in 0.082% of the time taken by the state of the art dynamic programming algorithm (for 27 agents), using much less memory (O(2n) instead of O(3n) for n agents). Moreover, our algorithm is the first to be able to find solutions for more than 17 agents in reasonable time (less than 90 minutes for 27 agents, as opposed to around 2 months for the best previous solution).
The Examinational Technology of Invasion Analysis Based on Network Security
Authors: Zhou Jing, Fang Yuan
Venue: Proceedings of the 2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009) (2009)

This article introduced the present situation of network information security and the present domestic network face existence main threat, as well as the prevente security threat main safety work classification and detailed explanation; Based on this elaboration this article main analysis each kind of invasion examinational technology characteristic and function superiority; In view of the current world network application scope expanding and popularization, network users increase in the number of technological capability and users of the network security question also get attention. Especially in the network attack, have many network researchers actively looking for research and solve the network intrusion detection technology of vulnerability; Finally the basis discusses the invasion examinational technology which analyzes to the showing off correspondence evaluating indicator as well as the present network invades the limitation which the examinational technology exists, and the summarizes manifests the network security invasion examination engineering research the necessity.