ppxscal/embedding_network huggingface dataset:
Determination of Freshness of Freshwater Fish Based on BP-ANN and Bio-impedance Characteristics
Authors: Zhang Jun, Li XiaoYu, Wang Wei, Zhou Zhu
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 04 (2009)

The electrical properties of fish body will change during storage; this undoubtedly provides a new method to investigate the spoilage of fish. Based on virtual instrument technology and bio-impedance analysis method, a freshwater fish bio-impedance measurement system was built to investigate the bio-impedance characteristics of freshwater fish silver carp during storage. The result indicated that the impedance and phase decreased with post-mortem time, the accuracy of using impedance and phase angle index to determine fish freshness is 88.89% and 81.49. When taking the two parameters as the input, the TVB-N value as the output to build the ANN model to predict fish freshness, the model’s accuracy is 97.44%, which improves the accuracy of determination fish freshness and provides a new method to determine fish freshness.
A Multiprocessor Architecture with an Omega Network for the Massively Parallel Model GCA
Authors: Christian Schäck, Wolfgang Heenes, Rolf Hoffmann
Venue: Proceedings of the 9th International Workshop on Embedded Computer Systems: Architectures, Modeling, and Simulation (2009)

The GCA (Global Cellular Automata) model consists of a collection of cells which change their states synchronously depending on the states of their neighbors like in the classical CA (Cellular Automata) model. In differentiation to the CA model the neighbors are not fixed and local, they are variable and global. The GCA model is applicable to a wide range of parallel algorithms. In this paper a general purpose multiprocessor architecture for the massively parallel GCA model is presented. In contrast to a special purpose implementation of a GCA algorithm the multiprocessor system allows the implementation in a flexible way through programming. The architecture mainly consists of a set of processors (Nios II) and a network. The Nios II features a general-purpose RISC CPU architecture designed to address a wide range of applications. The network is a well-known omega network. Only read-accesses through the network are necessary in the GCA model leading to a simplified structure. A system with up to 32 processors was implemented as a prototype on an FPGA. The analysis and implementation results have shown that the performance of the system scales with the number of processors.
LCC-WSD: system description for English coarse grained all words task at SemEval 2007
Authors: Adrian Novischi, Munirathnam Srikanth, Andrew Bennett
Venue: Proceedings of the 4th International Workshop on Semantic Evaluations (2007)

This document describes the Word Sense Disambiguation system used by Language Computer Corporation at English Coarse Grained All Word Task at SemEval 2007. The system is based on two supervised machine learning algorithms: Maximum Entropy and Support Vector Machines. These algorithms were trained on a corpus created from Sem-Cor, Senseval 2 and 3 all words and lexical sample corpora and Open Mind Word Expert 1.0 corpus. We used topical, syntactic and semantic features. Some semantic features were created using WordNet glosses with semantic relations tagged manually and automatically as part of eXtended WordNet project. We also tried to create more training instances from the disambiguated WordNet glosses found in XWN project (XWN, 2003). For words for which we could not build a sense classifier, we used First Sense in WordNet as a back-off strategy in order to have coverage of 100%. The precision and recall of the overall system is 81.446% placing it in the top 5 systems.
Towards Validating Prediction Systems for Process Understandability: Measuring Process Understandability
Authors: Joachim Melcher, Detlef Seese
Venue: Proceedings of the 2008 10th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (2008)

Motivated by software metrics, several process metrics for measuring internal (structural) process attributes have been proposed. Integrated in validated prediction systems, these metrics can be used to predict values of external process attributes like, for example, process understandability.There are only a few papers dealing with finding a process understandability metric and validating prediction systems for process understandability. Looking at these publications, we identified possible problems with metric reliability and validity.In this paper, we define new metrics for process understandability inspired by existing work. Furthermore, we present some hypotheses about effects of measuring process understandability. Conducting an experiment, we got some encouraging findings supporting these hypotheses: Different aspects of process understandability can be complicated in varying degrees for a process and askingonly some few questions about a process can cause values for process understandability differing very much from the real value. These findings should be considered in future work about measuring process understandability.
Vision-Based Markerless Gaming Interface
Authors: Pietro Azzari, Luigi Stefano
Venue: Proceedings of the 15th International Conference on Image Analysis and Processing (2009)

The paper proposes a novel human machine interface for gaming applications based on computer vision. The key idea is to allow the user to interact with the game by simply moving a hand-held consumer grade camera. Detection of natural features in the incoming video stream avoids instrumenting the scene with optical markers while preserving real-time computation and accuracy. The paper presents also a prototype videogame developed as proof-of-concept of our camera-based gaming interface. Thanks to recent advances in real-time extraction and matching of natural features from images on mobile platforms, our proposal holds the potential to enable a new generation of camera-controlled videogames for hand-held mobile devices.
A Modality Replacement Framework for the Communication between Blind and Hearing Impaired People
Authors: Konstantinos Moustakas, Dimitrios Tzovaras, Laila Dybkjær, Niels Ole Bernsen
Venue: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Part III: Applications and Services (2009)

This paper presents a multimodal framework for the communication between blind and hearing impaired people. The algorithms that are developed are based on the concept of modality replacement, which is the use of information originating from various modalities to compensate for the missing input modality of the system or the users. Spatial information is conveyd in the blind user's terminal through the haptic modality utilizing an efficient haptic rendering scheme, while verbal information is presented in the hearing impaired user's terminal through sign language synthesis. All technologies are integrated in a virtual treasure hunting game, where a blind and a hearing impaired user have to collaborate so as to navigate in the virtual environment and solve the riddle of the game. Usability evaluation of this framework has shown significant impact of the proposed system for the disabled users.
Referring in multimodal systems: the importance of user expertise and system features
Authors: Daniela Petrelli, Antonella De Angeli, Walter Gerbino, Giulia Cassano
Venue: Referring Phenomena in a Multimedia Context and their Computational Treatment (1997)

This paper empirically investigates how humans use reference in space when interacting with a multimodal system able to understand written natural language and pointing with the mouse. We verified that user expertise plays an important role in the use of multimodal systems: experienced users performed 84% multimodal inputs while inexpert only 30%. Moreover experienced are able to efficiently use multimodality shortening the written input and transferring part of the reference meaning on the pointing. Results showed also the importance of the system layout: when very short labels (one character) are available users strongly adopt a redundant reference strategy, i.e. they referred to the object in a linguistic way and use pointing too. Starting from these facts some guidelines for future multimodal systems are suggested.
Real-time classification of electromyographic signals for robotic control
Authors: Beau Crawford, Kai Miller, Pradeep Shenoy, Rajesh Rao
Venue: Proceedings of the 20th national conference on Artificial intelligence - Volume 2 (2005)

Advances in bioengineering have led to increasingly sophisticated prosthetic devices for amputees and paralyzed individuals. Control of such devices necessitates real-time classification of biosignals, e.g., electromyographic (EMG) signals recorded from intact muscles. In this paper, we show that a 4-degrees-of-freedom robotic arm can be controlled in real-time using non-invasive surface EMG signals recorded from the forearm. The innovative features of our system include a physiologically-informed selection of forearm muscles for recording EMG signals, intelligent choice of hand gestures for easy classification, and fast, simple feature extraction from EMG signals. Our selection of gestures is meant to intuitively map to appropriate degrees of freedom in the robotic arm. These design decisions allow us to build fast accurate classifiers online, and control a 4-DOF robotic arm in real-time. In a study involving 3 subjects, we achieved accuracies of 92-98% on an 8-class classification problem using linear SVMs. These classifiers can be learned on-line in under 10 minutes, including data collection and training. Our study also analyzes the issues and tradeoffs involved in designing schemes for robotic control using EMG. Finally, we present details of online experiments where subjects successfully solved tasks of varying complexity using EMG to control the robotic arm.
Paraphrasing of Japanese light-verb constructions based on lexical conceptual structure
Authors: Atsushi Fujita, Kentaro Furihata, Kentaro Inui, Yuji Matsumoto, Koichi Takeuchi
Venue: Proceedings of the Workshop on Multiword Expressions: Integrating Processing (2004)

Some particular classes of lexical paraphrases such as verb alteration and compound noun decomposition can be handled by a handful of general rules and lexical semantic knowledge. In this paper, we attempt to capture the regularity underlying these classes of paraphrases, focusing on the paraphrasing of Japanese light-verb constructions (LVCs). We propose a paraphrasing model for LVCs that is based on transforming the Lexical Conceptual Structures (LCSs) of verbal elements. We also propose a refinement of an existing LCS dictionary. Experimental results show that our LCS-based paraphrasing model characterizes some of the semantic features of those verbs required for generating paraphrases, such as the direction of an action and the relationship between arguments and surface cases.
Query Processing Techniques for Compliance with Data Confidence Policies
Authors: Chenyun Dai, Dan Lin, Murat Kantarcioglu, Elisa Bertino, Ebru Celikel, Bhavani Thuraisingham
Venue: Proceedings of the 6th VLDB Workshop on Secure Data Management (2009)

Data integrity and quality is a very critical issue in many data-intensive decision-making applications. In such applications, decision makers need to be provided with high quality data on which they can rely on with high confidence. A key issue is that obtaining high quality data may be very expensive. We thus need flexible solutions to the problem of data integrity and quality. This paper proposes one such solution based on four key elements. The first element is the association of a confidence value with each data item in the database. The second element is the computation of the confidence values of query results by using lineage propagation. The third element is the notion of confidence policies. Such a policy restricts access to the query results by specifying the minimum confidence level that is required for use in a certain task by a certain subject. The fourth element is an approach to dynamically increment the data confidence level to return query results that satisfy the stated confidence policies. In particular, we propose several algorithms for incrementing the data confidence level while minimizing the additional cost. Our experimental results have demonstrated the efficiency and effectiveness of our approach.
Evolvement, Comparison and Enlightenment of Monetary Crisis Theories
Authors: Cuifeng Huo
Venue: Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 03 (2009)

Since the financial crisis caused by the subprime lending crisis spreads throughout the world, all countries and international organizations are actively researching the countermeasures with the wish to weaken the destroy of the crisis and prevent the crisis in future, so analyzing the feature of the occurrence of previous monetary crisis, their influence and governments’ countermeasures are no doubt of great importance for reference.
Extending the Strada Framework to Design an AI for ORTS
Authors: Laurent Navarro, Vincent Corruble
Venue: Proceedings of the 8th International Conference on Entertainment Computing (2009)

Strategy games constitute a significant challenge for game AI, as they involve a large number of states, agents and actions. This makes indeed the decision and learning algorithms difficult to design and implement. Many commercial strategy games use scripts in order to simulate intelligence, combined with knowledge which is in principle not accessible to human players, such as the position of the enemy base or the offensive power of its army. Nevertheless, recent research on adaptive techniques has shown promising results. The goal of this paper is to present the extension such a research methodology, named Strada, so that it is made applicable to the real-time strategy platform ORTS. The adaptations necessary to make Strada applicable to ORTS are detailed and involve the use of dynamic tactical points and specific training scenario for the learning AI. Two sets of experiments are conducted to evaluate the performances of the new method.
Evaluation of User Reputation on YouTube
Authors: Yo-Sub Han, Laehyun Kim, Jeong-Won Cha
Venue: Proceedings of the 3d International Conference on Online Communities and Social Computing: Held as Part of HCI International 2009 (2009)

In the Web 2.0 era, people not only read web contents but upload, view, share and evaluate all contents on the web. This leads us to introduce a new type of social network that is based on user activity and content metadata. Moreover, we can determine the quality of related contents using this new social network. Based on this observation, we introduce a user evaluation algorithm for user-generated video sharing website such as YouTube.
Anomaly Detection Based on Multi-Attribute Decision
Authors: QingPeng Zeng, ShuiXiu Wu
Venue: Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 02 (2009)

Detection of intrusion attacks is an important issue in network security, this paper introduces a new anomaly detection scheme based on multi-attribute decisional framework. the system calls are used to characterize the process’s behavior, The data classification is performed by k-Nearest Neighbors(kNN) method and Support Vector Machines(SVM) model . the experiments with KDD Cup 1999 data demonstrate that our proposed method achieves 97.26% in hit rate with the false alarm rate 6.03% and outperforms the RIPPER method, and the time complexity is linear with the size of dataset and the number of attributes. since there is no need to build a profile for each program and check every sequence during the new program execution, the amount of calculation involved is largely reduced.
Study on Automatic Temperature Measuring for Laser Rapid Prototyping
Authors: Feng Zeng
Venue: Proceedings of the 2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009) (2009)

To overcome the disadvantages of conventional temperature measuring method, a novel automatic temperature measuring method for laser rapid prototyping based on thermal imager is presented in this paper. Temperature fields for coated-sand SLS process were measured by thermal imager under the control of computer, and the full contour maps of temperature fields can be used for computer analysis and optimizing of laser rapid prototyping. The optimum processing parameters of coated-sand SLS were obtained by analysis of the measurement results. 3-D CAD model of bevel gear was design and the bevel gear sample was manufactured by laser rapid prototyping. The relative error between sample and CAD model is smaller than 1%.
Bivariate orthogonal polynomials in the Lyskova class
Authors: María Álvarez de Morales, Lidia Fernández, Teresa E. Pérez, Miguel A. Piñar
Venue: Journal of Computational and Applied Mathematics (2009)

Classical orthogonal polynomials in two variables can be characterized as the polynomial solutions of a matrix second-order partial differential equation involving matrix polynomial coefficients. In this work, we study classical orthogonal polynomials in two variables whose partial derivatives satisfy again a second-order partial differential equation of the same type.
Differential Feature Analysis for Palmprint Authentication
Authors: Xiangqian Wu, Kuanquan Wang, Yong Xu, David Zhang
Venue: Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns (2009)

Palmprint authentication is becoming one of the most important biometric techniques because of its high accuracy and ease to use. The features on palm, including the palm lines, ridges and textures, etc., are resulted from the gray scale variance of the palmprint images. This paper characterizes these variance using different order differential operations. To avoid the effect of the illumination variance, only the signs of the pixel values of the differential images are used to encode palmprint to form palmprint differential code (PDC). In matching stage, normalized Hamming distance is employed to measure the similarity between different PDCs. The experimental results demonstrate that the proposed approach outperforms the existing palmprint authentication algorithms in terms of the accuracy, speed and storage requirement and the differential operations may be considered as one of the standard methods for palmprint feature extraction. 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
Nautical PSI - Virtual Nautical Officers as Test Drivers in Ship Bridge Design
Authors: Ulrike Brüggemann, Stefan Strohschneider
Venue: Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009 (2009)

Ship bridges are control centers that operate and manage the ship as a complex socio-technical system. At the University of Jena we have established a project that aims to understand and to explain the nautical officers' behavior. This work is embedded within a broader project network that seeks to develop a ship bridge that is more standardized, more integrated and better adapted to human performance. Our way to achieve these goals involves anthropologic fieldwork and the construction of a computer simulation called Nautical PSI that models the nautical officers' psychological processes on the theoretical foundation of the PSI theory. This virtual nautical officer can be used as test driver for virtual bridges during to the design process.
An Approach for Creating and Blending Synthetic Facial Expressions of Emotion
Authors: Meeri Mäkäräinen, Tapio Takala
Venue: Proceedings of the 9th International Conference on Intelligent Virtual Agents (2009)

We introduce a physically-based facial animation system for natural-looking emotional expressions. Our system enables creation of simple facial expressions using Facial Action Coding System (FACS) and complex facial expressions by blending existing expressions. We propose a method for blending facial actions, based on a parameterization that combines elements of FACS and MPEG-4 standard. We explore the complex expression space by examining the blends of basic emotions produced with our model.
Research on Internet Intelligent Tutoring System Based on MAS and CBR
Authors: Zhang Rongmei, Liu Lingling
Venue: Proceedings of the 2009 International Forum on Information Technology and Applications - Volume 03 (2009)

In this paper, based on Constructivist Teaching Theory and the principle of Agent technology, the architecture of Distributed Internet Intelligent Tutoring System based on MAS (Multi-Agent System) and CBR (Case-based Reasoning) is designed. The key technologies are studied, which are the knowledge model based on recalling network, the student's cognitive ability evaluation model, the individual instruction strategy model, etc. These have certain guiding significance for the development of Internet Intelligent Tutoring system.
Relating state-based and process-based concurrency through linear logic (full-version)
Authors: Iliano Cervesato, Andre Scedrov
Venue: Information and Computation (2009)

This paper has the purpose of reviewing some of the established relationships between logic and concurrency, and of exploring new ones. Concurrent and distributed systems are notoriously hard to get right. Therefore, following an approach that has proved highly beneficial for sequential programs, much effort has been invested in tracing the foundations of concurrency in logic. The starting points of such investigations have been various idealized languages of concurrent and distributed programming, in particular the well established state-transformation model inspired by Petri nets and multiset rewriting, and the prolific process-based models such as the @p-calculus and other process algebras. In nearly all cases, the target of these investigations has been linear logic, a formal language that supports a view of formulas as consumable resources. In the first part of this paper, we review some of these interpretations of concurrent languages into linear logic and observe that, possibly modulo duality, they invariably target a small semantic fragment of linear logic that we call LV^o^b^s. In the second part of the paper, we propose a new approach to understanding concurrent and distributed programming as a manifestation of logic, which yields a language that merges those two main paradigms of concurrency. Specifically, we present a new semantics for multiset rewriting founded on an alternative view of linear logic and specifically LV^o^b^s. The resulting interpretation is extended with a majority of linear connectives into the language of @w-multisets. This interpretation drops the distinction between multiset elements and rewrite rules, and considerably enriches the expressive power of standard multiset rewriting with embedded rules, choice, replication, and more. Derivations are now primarily viewed as open objects, and are closed only to examine intermediate rewriting states. The resulting language can also be interpreted as a process algebra. For example, a simple translation maps process constructors of the asynchronous @p-calculus to rewrite operators. The language of @w-multisets forms the basis for the security protocol specification language MSR 3. With relations to both multiset rewriting and process algebra, it supports specifications that are process-based, state-based, or of a mixed nature, with the potential of combining verification techniques from both worlds. Additionally, its logical underpinning makes it an ideal common ground for systematically comparing protocol specification languages.