ppxscal/embedding_network huggingface dataset:
On the Improved Nonsingularity of the r-Circulant Matrices
Authors: Xueting Liu, Hongkui Li, Peng Wang
Venue: Proceedings of the 2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009) (2009)

Circulant matrix is important since it is an active research field of applied mathematic and computation mathematic increasingly . R-circulant matrices have applied in numerical computation, signal processing, coding theory and oil investigation in recent years, and so on. In this paper, we give some discriminations by using only the elements in the first row of the r-circulant matrix on non singularity, and give an example at last. Example indicate that the proposed discriminations are simple and accurate.
Reusable Architectural Decision Model for Model and Metadata Repositories
Authors: Christine Mayr, Uwe Zdun, Schahram Dustdar
Venue: Formal Methods for Components and Objects: 7th International Symposium, FMCO 2008, Sophia Antipolis, France, October 21-23, 2008, Revised Lectures (2009)

Models are gaining importance in software development, for instance in the MDD field, as well as in other disciplines such as biology and physics. Hence, tool support is needed to manage these models and metadata about the models. Model repositories support this trend by managing these model artifacts. While setting up model and metadata repositories, architects have to make several fundamental design decisions and balance various forces. In this paper we describe reusable knowledge in form of reusable architectural decisions for IT-architects in setting-up, planning, and developing model and metadata repositories, as well as the main decision drivers. Our decisions are documented in a reusable architectural decision model that can be instantiated for a concrete system. It also supports a lightweight approach to architecture documentation. A case study illustrates the decisions made when setting up our own data access object model repository by walking through the reusable architectural decision model.
A systems approach to supporting decisions for the product to service shift
Authors: Ella-Mae Molloy, Carys Siemieniuch, Murray Sinclair
Venue: International Journal of Computer Applications in Technology (2009)

This paper reports on work completed as part of the knowledge and information management (KIM) &ndash; through life grand challenge. The research presents a prototype tool (tool for the assessment of decision making systems (ToADS) that provides a decision support function through aiding configuration of decision making systems (DMS) within an organisation. The prototype tool has been validated and found to be of use in a series of industrial case studies. These studies are outlined, along with a summary of findings pertaining to both the tool development and wider implications for decision support. Not least among these is the fact that many decisions are not consciously made, meaning any decision support must be implicit rather than explicit if they are to be implemented and used successfully.
TAGARAB: a fast, accurate Arabic name recognizer using high-precision morphological analysis
Authors: John Maloney, Michael Niv
Venue: Proceedings of the Workshop on Computational Approaches to Semitic Languages (1998)

We describe a fast, high-performance name recognizer for Arabic texts. It combines a pattern-matching engine and supporting data with a morphological analysis component. The role of the morphological analysis in accurate name recognition is discussed. We also provide evaluations of both morphological analysis and name recognition.
Ultra-Lightweight Key Predistribution in Wireless Sensor Networks for Monitoring Linear Infrastructure
Authors: Keith M. Martin, Maura B. Paterson
Venue: Proceedings of the 3rd IFIP WG 11.2 International Workshop on Information Security Theory and Practice. Smart Devices, Pervasive Systems, and Ubiquitous Networks (2009)

One-dimensional wireless sensor networks are important for such security-critical applications as pipeline monitoring and perimeter surveillance. When considering the distribution of symmetric keys to secure the communication in such networks, the specific topology leads to security and performance requirements that are markedly distinct from those of the more widely-studied case of a planar network. We consider these requirements in detail, proposing a new measure for connectivity in one-dimensional environments. We show that, surprisingly, optimal results may be obtained through the use of extremely lightweight key predistribution schemes.
Human-Computer Interaction Techniques in Firefighting
Authors: Sebastian Denef
Venue: Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II (2009)

This thesis investigates the design of human computer interaction techniques for ubiquitous computing solutions in firefighting.Research Area: Human-Computer Interaction Design for Safety Critical Ubiquitous Computing.
Elicitation of Sugeno Integrals: A Version Space Learning Perspective
Authors: Henri Prade, Agnes Rico, Mathieu Serrurier
Venue: Proceedings of the 18th International Symposium on Foundations of Intelligent Systems (2009)

Sugeno integrals can be viewed as multiple criteria aggregation functions which take into account a form of synergy between criteria. As such, Sugeno integrals constitute an important family of tools for modeling qualitative preferences defined on ordinal scales. The elicitation of Sugeno integrals starts from a set of data that associates a global evaluation assessment to situations described by multiple criteria values. A consistent set of data corresponds to a non-empty family of Sugeno integrals with which the data are compatible. This elicitation process presents some similarity with the revision process underlying the version space approach in concept learning, when new data are introduced. More precisely, the elicitation corresponds to a graded extension of version space learning, recently proposed in the framework of bipolar possibility theory. This paper establishes the relation between these two formal settings.
An unorthodox introduction to Memetic Algorithms
Authors: Natalio Krasnogor
Venue: ACM SIGEVOlution (2008)

Memetic Algorithms have become one of the key methodologies behind solvers that are capable of tackling very large, real-world, optimisation problems. They are being actively investigated in research institutions as well as broadly applied in industry. This article provides a very short introduction to Memetic Algorithms and it is a condensed version of a chapter with the same title that will appear in the Handbook of Natural Computing to be published by Springer [35] in which a pragmatic guide to the key design issues underpinning Memetic Algorithms (MA) engineering is overviewed.
Topic segmentation algorithms for text summarization and passage retrieval: an exhaustive evaluation
Authors: Gaël Dias, Elsa Alves, José Gabriel Pereira Lopes
Venue: Proceedings of the 22nd national conference on Artificial intelligence - Volume 2 (2007)

In order to solve problems of reliability of systems based on lexical repetition and problems of adaptability of language-dependent systems, we present a context-based topic segmentation system based on a new informative similarity measure based on word co-occurrence. In particular, our evaluation with the state-of-the-art in the domain i.e. the c99 and the TextTiling algorithms shows improved results both with and without the identification of multiword units.
Three-dimensional parametrization for parsing morphologically rich languages
Authors: Reut Tsarfaty, Khalil Sima'an
Venue: Proceedings of the 10th International Conference on Parsing Technologies (2007)

Current parameters of accurate unlexicalized parsers based on Probabilistic Context-Free Grammars (PCFGs) form a two-dimensional grid in which rewrite events are conditioned on both horizontal (head-outward) and vertical (parental) histories. In Semitic languages, where arguments may move around rather freely and phrase-structures are often shallow, there are additional morphological factors that govern the generation process. Here we propose that agreement features percolated up the parse-tree form a third dimension of parametrization that is orthogonal to the previous two. This dimension differs from mere "state-splits" as it applies to a whole set of categories rather than to individual ones and encodes linguistically motivated co-occurrences between them. This paper presents extensive experiments with extensions of unlexicalized PCFGs for parsing Modern Hebrew in which tuning the parameters in three dimensions gradually leads to improved performance. Our best result introduces a new, stronger, lower bound on the performance of treebank grammars for parsing Modern Hebrew, and is on a par with current results for parsing Modern Standard Arabic obtained by a fully lexicalized parser trained on a much larger treebank.
Negotiated Rational Commitment and Decommitment in Sensor Webs
Authors: Heather Amthauer, Edward Komp, Costas Tsatsoulis
Venue: Proceedings of the 2009 Third International Conference on Sensor Technologies and Applications (2009)

The work presented in this paper uses a modified Jadex Contract Net Protocol to create coalitions of sensors that are joined into a Sensor Web. We describe how we adapt the protocol to use argumentation-based negotiation allowing the sensors to rationally commit to tasks and decommit from previously scheduled tasks to join an alternate Sensor Web. We also describe how we will test our negotiation-based Sensor Web system using sensor data collected from the South East Alaska Monitoring Network for Science, Telecommunication,Education, and Research database.
Semi-supervised Discriminant Analysis Based on Dependence Estimation
Authors: Xiaoming Liu, J. Tang, Jun Liu, Zhilin Feng, Zhaohui Wang
Venue: Proceedings of the 5th International Conference on Advanced Data Mining and Applications (2009)

Dimension reduction is very important for applications in data mining and machine learning. Dependence maximization based supervised feature extraction (SDMFE) is an effective dimension reduction method proposed recently. A shortcoming of SDMFE is that it can only use labeled data, and does not work well when labeled data are limited. However, in many applications, it is a common case. In this paper, we propose a novel feature extraction method, called Semi-Supervised Dependence Maximization Feature Extraction (SSDMFE), which can utilize simultaneously both labeled and unlabeled data to perform feature extraction. The labeled data are used to maximize the dependence and the unlabeled data are used as regulations with respect to the intrinsic geometric structure of the data. Experiments on several datasets are presented and the results demonstrate that SSDMFE achieves much higher classification accuracy than SDMFE when the amount of labeled data are limited.
Modeling and Simulation on Left-Turn Waiting Area at Isolated Signalized Intersection
Authors: Liping Gao, Baohua Mao, Mingjun Liu, Shaokuan Chen, Xiaojie Zhang
Venue: Proceedings of the 2009 International Conference on Measuring Technology and Mechatronics Automation - Volume 02 (2009)

Left-turn waiting area can improve the capacity and operational efficiency of the isolated signalized intersection. Based on the former researches and survey data, in this paper, we model the left-turn waiting area by dint of stop lines A, B and its length lAB, and parameters of left-turn signal, t1 ,t2 ,t3, t3. According to the flow chart and taking advantage of simulation software VISSIM, we emulate 2 scenarios about setting left-turn waiting area or not and just evaluate the left-turn flow at each approach. The results indicate that, comparing to the no waiting area scenario, the travel time of I.H-H with 3 signal phases is reduced by 5.64%, and average queue lengths of its 2 approaches are cut by 14.55% and 15.11%. The delay of I.W-W with 4 signal phases is declines by 5.64%, while the volume is increased by 7.01%. However, the results also show that the stop rates added 0.73 and 0.64 respectively.
Robust Foreground Segmentation Using Subspace Based Background Model
Authors: JiXiang Zhang, Yuan Tian, YiPing Yang, ChengFei Zhu
Venue: Proceedings of the 2009 Asia-Pacific Conference on Information Processing - Volume 02 (2009)

Robust foreground segmentation is an essential step in many computer vision applications such as visual surveillance and behavior analysis. This paper proposes a subspace based background modeling and foreground segmentation algorithm, which improves the incremental background subspace learning in a robust manner. It can efficiently reduce the influence of the foreground pixels which are undesired in background updating procedure, at the same time, adapts well to background variations. Furthermore, a novel subspace initialization method based on L1-minimization is proposed to efficiently construct the subspace background model using global information, without the requirement of empty scene. Experimental results demonstrate the robustness and effectiveness of the algorithm.
Interception of EM Leakage Arising from the CRT of Computer
Authors: Hongxin Zhang, Yinghua Lu, Hongxin Zhang
Venue: Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security - Volume 02 (2009)

This research investigates the Experiment to intercept and retrieve the electromagnetic (EM) leakage of video information arising from the cathode ray tube (CRT) of a computer. After the EM leakage signal is intercepted by an antenna, it is filtered, amplified and phase locked in the receiver. Then, the EM leakage signal is sampled via an A/D card and the digital data are sent to a software program. Further, the method to retrieve the available information from EM leakage is presented using techniques such as synchronization method, average filter, matched filter and wavelet transform etc. At last, the recovered Chinese characters from EM leakage are given as an image format
Field dependence-independence and instructional-design effects on learners' performance with a computer-modeling tool
Authors: Charoula Angeli, Nicos Valanides, Paul Kirschner
Venue: Computers in Human Behavior (2009)

The study investigated the extent to which two types of instructional materials and learner field dependence-independence affected learners' cognitive load, time spent on task, and problem-solving performance in a complex system with a computer-modeling tool. One hundred and one primary student teachers were initially categorized into field dependent, field mixed, and field-independent learners based on their performance on the Hidden Figures Test, and were then randomly assigned to two experimental conditions. One group received a static diagram and a textual description in a split format, and the second group received the same static diagram and textual description in an integrated format. MANOVA revealed that the split-format materials contributed to higher cognitive load, higher time spent on task, and lower problem-solving performance than the integrated-format materials. There was also an interaction effect, only in terms of students' problem-solving performance, between field dependence-independence and instructional materials, indicating that the facilitating effect of the integrated-format materials was restricted to the field-independent learners. Conclusions are drawn in terms of how the well-documented split-attention effect manifests itself irrespective of students' field dependence-independence. Implications of the effects of reduced extraneous cognitive load on students' problem-solving performance are also discussed.
Exploring Cross-Device Web Use on PCs and Mobile Devices
Authors: Shaun K. Kane, Amy K. Karlson, Brian R. Meyers, Paul Johns, Andy Jacobs, Greg Smith
Venue: Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part I (2009)

In this paper, we explore whether sharing a user's web browsing activity across their computing devices can make it easier to find and access web sites on a mobile device. We first surveyed 175 smartphone users about their web use across multiple devices. We found that users shared web information between devices, but generally used cumbersome manual methods to do so. In a second study, we tracked the web sites visited by 14 participants on their PC and mobile phone, and used experience-sampling surveys to determine whether sharing sites across devices would be useful. We found that participants visited many of the same sites on both their mobile device and PC, and that participants were interested in viewing additional sites from their PC on their mobile device. Our results suggest that automatically sharing web activity information between devices has potential to improve the usability of the mobile web.
News Video Clip Retrieval Based on Topic Caption Text and Audio Information
Authors: Zhao Yaqin, Zheng Jiaqiang, Zhou Hongping
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 04 (2009)

This paper presents a novel scheme for news video structure indexing and news story clip retrieving. Instead of using low-level features, the method is built upon the combination of topic content and visual features. First of all, a new method of topic caption text detection is proposed in which the topic caption frame is detected by features extraction from frame differences, the topic caption lasting time and times of caption transition in the same shot, and the dynamic split-merge strategy is used to segment individual character. Afterwards, one news video is segmented into a series of news story clips on the basis of topic caption text and silence clip. Finally, a reasonable model is built to retrieve news story clips by both visual similar degree and topic content relativity between two news clips with strong semantic meaning. The experimental results showed that the proposed method could effectively detect and recognize topic caption text and index news story clips.
An adaptive resource reservation for vehicular mobile networks
Authors: I. Ben Hamida, L. Boukhatem
Venue: International Journal of Network Management (2009)

This paper presents the time-based bandwidth reservation (TBR) algorithm, suitable for handoff management in cellular systems. TBR is based on real-time measurements of mobile stations (position, velocity and acceleration). The scheme consists in sending reservation requests to the neighboring cells based on an extrapolation of the user's motion. The originality of our approach lies in dynamically adjusting the amount of time for which bandwidth has to be allocated and reserved in a cell. In addition, we propose an optimal channel requests arrangement (CRA) algorithm in order to improve the performance of TBR in terms of resource utilization. Finally, we propose VTBR, an adapted and extended version of TBR for better support of vehicular network specificities where service degradation or forced call termination may occur owing to frequent handoffs. Detailed simulation results for TBR and VTBR schemes and a comparison with the guard channel scheme are presented. The results show that TBR and VTBR can efficiently improve the flow dropping probability.
Twin logic gates: improved logic reliability by redundancy concerning gate oxide breakdown
Authors: Hagen Saemrow, Claas Cornelius, Frank Sill, Andreas Tockhorn, Dirk Timmermann
Venue: Proceedings of the 22nd Annual Symposium on Integrated Circuits and System Design: Chip on the Dunes (2009)

Because of the aggressive scaling of integrated circuits and the given limits of atomic scales, circuit designers have to become more and more aware of the arising reliability and yield concerns. So far, only very little research efforts have been put into low-level approaches for lifetime reliability, whereas lots of efforts have focused on soft-errors and system-level solutions. In this paper, we introduce and compare three diverse design approaches which apply redundancy on different abstraction levels to enhance the reliability of a Wallace multiplier as regards gate oxide breakdown. The results of the test design were further improved by adding transistors and gates with different gate oxide thicknesses. The achieved results show that lifetime reliability increases up to 200 % at constant delay by adding redundant gates, subsequently called Twin Logic Gates. However, this comes at the price of overhead for area as well as power consumption. Furthermore, it needs to be noted that the presented strategies can additionally improve defect yield.
Towards a measure of biometric feature information
Authors: Andy Adler, Richard Youmaran, Sergey Loyka
Venue: Pattern Analysis Applications (2009)

This paper develops an approach to measure the information content of a biometric feature representation. We define biometric information as the decrease in uncertainty about the identity of a person due to a set of biometric measurements. We then show that the biometric feature information for a person may be calculated by the relative entropy $${D(p\|q)}$$between the population feature distribution q and the person&#x2019;s feature distribution p. The biometric information for a system is the mean $${D(p\|q)}$$for all persons in the population. In order to practically measure $${D(p\|q)}$$with limited data samples, we introduce an algorithm which regularizes a Gaussian model of the feature covariances. An example of this method is shown for PCA and Fisher linear discriminant (FLD) based face recognition, with biometric feature information calculated to be 45.0&#x00a0;bits (PCA), 37.0 bits (FLD) and 55.6 bits (fusion of PCA and FLD features). Finally, we discuss general applications of this measure.
Development of Fuse Testing System Based on Virtual Instrument Technology
Authors: Chen Xin, Lu Jian, He Wei, Li Yunfei
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 01 (2009)

As the development of the computer technology and interface technology, the virtual instrument system with platform of Industrial Personal Computer and PC has become the main platform of test and measure system. Fuse has many strong points in small volume, less weight, low cost as well as the distinct advantage of precision control, which is widely used in communications equipment, the ATM devices of finance and businesses, precision instruments and meters and other products. The traditional testing system is unable to meet the testing needs. This paper introduces the development of fuse testing system based on virtual instrument technology, which adjusts the parameters to realize specifications for different products use the same test-station, remote control, batch test, real-time record of the test data and result is satisfactory
Improved pronunciation features for construct-driven assessment of non-native spontaneous speech
Authors: Lei Chen, Klaus Zechner, Xiaoming Xi
Venue: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics (2009)

This paper describes research on automatic assessment of the pronunciation quality of spontaneous non-native adult speech. Since the speaking content is not known prior to the assessment, a two-stage method is developed to first recognize the speaking content based on non-native speech acoustic properties and then forced-align the recognition results with a reference acoustic model reflecting native and near-native speech properties. Features related to Hidden Markov Model likelihoods and vowel durations are extracted. Words with low recognition confidence can be excluded in the extraction of likelihood-related features to minimize erroneous alignments due to speech recognition errors. Our experiments on the TOEFL&reg; Practice Online test, an English language assessment, suggest that the recognition/forced-alignment method can provide useful pronunciation features. Our new pronunciation features are more meaningful than an utterance-based normalized acoustic model score used in previous research from a construct point of view.