ppxscal/embedding_network huggingface dataset:
A Novel Computerized Method Based on Support Vector Machine for Tongue Diagnosis
Authors: Zhong Gao, Laiman Po, Wu Jiang, Xin Zhao, Hao Dong
Venue: Proceedings of the 2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System (2007)

The tongue diagnosis is an important diagnostic method in Traditional Chinese Medicine (TCM). In this paper, we present a novel computerized tongue inspection method based on Support Vector Machine (SVM). First, two kinds of quantitative features, chromatic and textural measures, are extracted from tongue images by using popular image processing techniques. Then, Support Vector Machine and Bayesian network are employed to build the mapping relationships between these features and diseases, respectively. Finally, we present a comparison between SVM and BN classification. The experiment results show that we can use SVM to classify the tongue images more excellently and get a relative reliable prediction of diseases based on these features.
Implementation and Evaluation of an MPI-IO Interface for GPFS in ROMIO
Authors: Francisco Javier Blas, Florin Isailă, Jesús Carretero, Thomas Großmann
Venue: Proceedings of the 15th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface (2008)

This paper presents an implementation of the MPI-IO interface for GPFS inside ROMIO distribution. The experimental section presents a performance comparison among three collective I/O implementations: two-phase I/O, the default file system independent method of ROMIO, view-based I/O, a file system-independent method we developed in a previous work and a GPFS specific collective I/O implementation based on data-shipping. The results show that data shipping-based collective I/O performs better for writing, while view-based I/O for reading.
Improving Business Failure Predication Using Rough Sets with Non-financial Variables
Authors: Jao-Hong Cheng, Chung-Hsing Yeh, Yuh-Wen Chiu
Venue: Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I (2007)

Rough set models with financial variables have proven to be effective in predicting business failure. To enhance the predictive performance of rough set models, this paper includes a non-financial variable, auditor switching, into the modeling process, in addition to 14 financial ratios commonly used in business failure research. An empirical study on 62 failed firms and 62 one-to-one matching non-failed firms in Taiwan between 1998 and 2005 is conducted, using available data for the three years before failure. Six rough set models are constructed individually with and without the auditor switching variable, using the three-year data respectively. The empirical study shows that the non-financial variable is the most significant attribute and plays an essential role in enhancing the performance of rough set models. These findings highlight the effectiveness of rough set models for business failure prediction and particularly the importance of incorporating non-financial variables in business failure research.
Plenary lecture III: multimedia system - 3d interactive model web (3DIMW)
Authors: Rong-Jyue Fang
Venue: Proceedings of the 7th WSEAS International Conference on Applied Computer and Applied Computational Science (2008)

Based on the functions of theoretical foundations and related literature analysis, study group develop a multimedia system named: 3D Interactive Model Web (3DIMW). The original purpose of research work targeting on constructing a learning platform for three-dimensional computer animation. The feasibility was based on the evaluated functions of 3-D animation techniques and the prototype constructed. Platform derived from three-dimensional computer animation technique associated with ASP.NET and SQL Database. After the completion of platform, consequent procedures were applied to examine the usefulness of it. Graphic science and drawing course was the object comes up with first choice. Later a Turbulence Phenomena simulation and nano sized physical representation showed that it is a good tool for learning complicated image description and maneuvering sophisticated micro-devices.
A Metrics Suite for Measuring Quality Characteristics of JavaBeans Components
Authors: Hironori Washizaki, Hiroki Hiraguchi, Yoshiaki Fukazawa
Venue: Proceedings of the 9th international conference on Product-Focused Software Process Improvement (2008)

In component-based software development, it is necessary to measure the quality of components before they are built into the system in order to ensure the high quality of the entire system. However, in application development with component reuse, it is difficult to use conventional metrics because the source codes of components cannot be obtained, and these metrics require analysis of source codes. Moreover, conventional techniques do not cover the whole of quality characteristics. In this paper, we propose a suite of metrics for measuring quality of JavaBeans components based on limited information that can be obtained from the outside of components without any source codes. Our suite consists of 21 metrics, which are associated with quality characteristics based on the ISO9126 quality model. Our suite utilizes the qualitative evaluation data available on WWW to empirically identify effective metrics, and to derive a reference value (threshold) for each metric. As a result of evaluation experiments, it is found our suite can be used to effectively identify black-box components with high quality. Moreover we confirmed that our suite can form a systematic framework for component quality metrics that includes conventional metrics and newly defined metrics.
Adaptive Microarray Image Acquisition System and Microarray Image Processing Using FPGA Technology
Authors: Bogdan Belean, Monica Borda, Albert Fazakas
Venue: Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part III (2008)

The present paper proposes an adaptive hardware implementation for a microarray image acquisition system, which is mandatory for implementing hardware algorithms for processing microarray images. Processing techniques for microarray image are also described, together with a hardware implementation of a spot border detection algorithm. The hardware implementation takes advantage of parallel computation capabilities offered by FPGA technology. Results which prove time and cost efficiency are presented for both hardware implementations.
An Energy-Efficient TDMA Protocol for Clustered Wireless Sensor Networks
Authors: Maotao Xie, Xiaoli Wang
Venue: Proceedings of the 2008 ISECS International Colloquium on Computing, Communication, Control, and Management - Volume 02 (2008)

Wireless sensor networks have been widely used in many important areas. Medium access control (MAC) protocols have a significant effect on the function and performance of sensor networks. Though the TDMA-based MAC protocols are inherently collision free and can rule out idle listening since nodes know when to transmit, it is difficult to change the frame size and time slot assignment due to network topology or traffic load changes. In this paper, we present an energy-efficient TDMA protocol for clustered wireless sensor networks (EC-TDMA), which is an intra-cluster communication MAC protocol. EC-TDMA dynamically changes the length of TDMA frame according to the number of sensor nodes and the sensor node traffic load within a cluster, reduces the idle listening and improves channel utility, thus prolongs networks lifetime. The simulation results show that this protocl performs better than existing protocols in the average energy consumption, packet delivery ratio and average latency.
Educational game Europe 2045
Authors: Vít Šisler, Cyril Brom, Petr Jakubíček
Venue: Proceedings of the 3rd international conference on Digital Interactive Media in Entertainment and Arts (2008)

This paper describes Europe 2045, a serious game for high school social science courses, aimed at familiarising students with political, economic, and social issues in contemporary Europe.
Effect of pressure on efficiency of UV curing of CVD-derived low-k material at different wavelengths
Authors: L. Prager, P. Marsik, L. Wennrich, M. R. Baklanov, S. Naumov, L. Pistol, D. Schneider, J. W. Gerlach, P. Verdonck, M. R. Buchmeiser
Venue: Microelectronic Engineering (2008)

Low-k dielectrics prepared by CVD in the form of 200nm thick layers on Si wafers were thermally treated at 410^oC and irradiated using UV lamps emitting photons of different wavelengths around 172nm, 185nm, and 222nm. The treatment was performed in high vacuum and under a nitrogen atmosphere at various pressures ranging from 0.1mbar up to 700mbar. Subsequently, the samples were investigated using FTIR transmission spectroscopy, contact angle measurement, X-ray photoelectron spectrometry (XPS), time-of-flight secondary ion mass spectrometry (TOF-SIMS), X-ray reflectometry (XRR), surface acoustic wave spectrometry (SAW), and purged UV spectroscopic ellipsometry (PUVSE). It was found that for all UV wavelengths applied for curing the depth profiles of the chemical composition were homogeneous. For all properties evaluated, irradiation at wavelengths below 200nm resulted in more pronounced changes than at longer wavelengths. Generally, a decrease in residual porogen content, conversion of the Si-O-Si bonds from cage to network/suboxide, degradation of Si-CH"3 bonds, formation of H-SiO bonds, increase in surface energy, changes of element concentrations and of density, increase in Young's modulus, and changes in dielectric constant were observed. These findings were confirmed by quantum-chemical calculations. With increasing nitrogen pressure the effects were more considerable. An attempt was undertaken to explain the effect of nitrogen pressure in course of the role of nitrogen molecules as collision partners.
Character Animation Tool "Biped Hand Selector
Authors: Hikmat Abdoollayev, Eunmi Choi, Dugki Min
Venue: Proceedings of the 2008 International Conference on Convergence and Hybrid Information Technology (2008)

Character Animation toolkits are very essential tools for animators in computer graphics world. These tools can make the work of animators extremely easy. Each tool can be applied to different body parts of character or the whole character. The tool that is described in this paper helps animators for creating character hand's animation. Hands of character in animation play one of essential roles for showing human emotion and expressions. This tool applies to the Biped sub-component of 3ds Max computer graphics software. In creating the tool we will use 3ds Max's scripting language. For creating tool's Graphical User Interface we will use Macromedia Flash.
A Supervised Classifier Based on Artificial Immune System
Authors: Lingxi Peng, Yinqiao Peng, Xiaojie Liu, Caiming Liu, Jinquan Zeng, Feixian Sun, Zhengtian Lu
Venue: Proceedings of the 7th international conference on Computational Science, Part II (2007)

Artificial immune recognition system (AIRS) has been convincingly proved a highly effective classifier, which has been successfully applied to pattern recognition and etc. However, there are two shortcomings that limit its further applications, one is the huge size of evolved memory cells pool, and the other is low classification accuracy. In order to overcome these limitations, a supervised artificial immune classifier, UCAIS, is presented. The implementation of UCAIS includes: the first is to create a pool of memory cells. Then, B-cell population is evolved and the memory cells pool is updated until the stopping criterion is met. Finally, classification is accomplished by majority vote of the k nearest memory cells. Compared with AIRS, UCAIS not only reduces the huge size of evolved memory cells pool, but also improves the classification accuracy on the four famous datasets, the Iris dataset, the Ionosphere dataset, the Diabetes dataset, and the Sonar dataset.
Reducing the Discovery Overheads in a DHT Based P2P Network by Using Virtual Resources
Authors: Uram H. Yoon, Keon-Il Jeong, Kyung-Lang Park, Jiyon Han, Jaemin Ahn, Jeonghwa Song, Shin-Dug Kim
Venue: Proceedings of the 2008 19th International Conference on Systems Engineering (2008)

Message delivery mechanism based on distributed hash table (DHT) can cause performance improvement over conventional P2P (Peer-to-Peer) system by increased delivery efficiency. However, the DHT, which is based on hash function, shows a few but important shortcomings: discovery of any resource without the same key value is not possible, and also repetitive discovery steps are required to discover resources with similar names. Therefore, in this research, we propose a simple but effective method which allows us to overcome those limitations of DHT method and to achieve performance enhancement. A virtual resource is not an actual resource, but a resource that acts like a wrapper to the original resources; it represents many similar resources and makes them discovered by a single discovery query. By using a virtual resource, users can obtain a significant improvement not only on performance but also on usability. Also experiment results show that using virtual resources can bring around 30% decrease in overall bandwidth usage and around 70% decrease in discovery time depending on given environment.
Invariants Discretization for Individuality Representation in Handwritten Authorship
Authors: Azah Kamilah Muda, Siti Mariyam Shamsuddin, Maslina Darus
Venue: Proceedings of the 2nd international workshop on Computational Forensics (2008)

Writer identification is one of the areas in pattern recognition that have created a center of attention by many researchers to work in. Its focal point is in forensics and biometric application as such the writing style can be used as biometric features for authenticating a writer. Handwriting style is a personal to individual and it is implicitly represented by unique features that are hidden in individual's handwriting. These unique features can be used to identify the handwritten authorship accordingly. Many researches have been done to develop algorithms for extracting good features that can reflect the authorship with good performance. However, this paper investigates the individuality representation of individual features through discretization technique. Discretization is a procedure to explore the partition of attributes into intervals and to unify the values for each interval. It illustrates the pattern of data systematically which improved the identification accuracy. An experiment has been conducted using IAM database with 3520 training data and 880 testing data (70% training data and 30% testing data) and 2639 training data and 1760 testing data (60% training data and 40% testing data). The results reveal that with invariants discretization, the accuracy of handwritten identification is improved significantly with the classification accuracy of 99.90% compared to undiscretized data.
Value Iteration
Authors: Krishnendu Chatterjee, Thomas A. Henzinger
Venue: 25 Years of Model Checking: History, Achievements, Perspectives (2008)

We survey value iteration algorithms on graphs. Such algorithms can be used for determining the existence of certain paths (model checking), the existence of certain strategies (game solving), and the probabilities of certain events (performance analysis). We classify the algorithms according to the value domain (boolean, probabilistic, or quantitative); according to the graph structure (nondeterministic, probabilistic, or multi-player); according to the desired property of paths (Borel level 1, 2, or 3); and according to the alternation depth and convergence rate of fixpoint computations.
DIGMAP: A Digital Library Reusing Metadata of Old Maps and Enriching It with Geographic Information
Authors: Gilberto Pedrosa, João Luzio, Hugo Manguinhas, Bruno Martins, José Borbinha
Venue: Proceedings of the 12th European conference on Research and Advanced Technology for Digital Libraries (2008)

The DIGMAP service reuses metadata from European national libraries and other relevant third party metadata sources. The gathered metadata is enhanced locally with geographical indexing, leveraging on geographic gazetteers and authority files. When available, the images of the maps are also processed to extract potentially relevant features. This made it possible to develop a rich integrated environment for searching and browsing services based mainly in enriched metadata.
Intuitionistic Fuzzy Modules and Their Structures
Authors: Chuanyu Xu
Venue: Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence (2008)

Intuitutionnistic fuzzy sets ( FS) are without any operations. Intuitutionnistic fuzzy groups ( FG) are with a kind of operations based on intuitutionnistic fuzzy relations. Their algebraic structures are simpler. In order to solve the problem, this paper forwards intuitutionnistic fuzzy modules ( FMs). They are FSs with two kinds of operations based on F relations. This paper further studies the external structure of FMs--the commutative diagram of homomorphism, and two internal structures of FMs: 1.the free FMs on the FRs are the F project modules and the direct sums of FMs. This paper reveals more algebraic structures of FSs. 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
A Usability Study on the Use of Multi-Context Visualization
Authors: Mao Lin Huang, Jie Liang, Quang Vinh Nguyen
Venue: Proceedings of the 2008 Fifth International Conference on Computer Graphics, Imaging and Visualisation (2008)

Graph visualization has been widely used in realworld applications, as it provides better presentation of overall data structure. However, there are navigation problems existing in deep and large relational datasets. To address these challenges, a new technique called multi-context visualization, which provides users with rich contextual information, has been proposed as the solution to the navigation in large scale datasets. This paper evaluates the multi-context visualization by conducting an experiment-based user study. To answer whether the more contextual information positively assist in making more accurate and easier decisions, it aims to evaluate the effectiveness and efficiency of the multicontext visualization, by measuring the user performance. Specifically, this usability test was designed to test if the use of multiple context views can improve navigation problems for deep and large relational data sets.
Duality and Equational Theory of Regular Languages
Authors: Mai Gehrke, Serge Grigorieff, Jean-Éric Pin
Venue: Proceedings of the 35th international colloquium on Automata, Languages and Programming, Part II (2008)

This paper presents a new result in the equational theory of regular languages, which emerged from lively discussions between the authors about Stone and Priestley duality. Let us call lattice of languages a class of regular languages closed under finite intersection and finite union. The main results of this paper (Theorems 5.2 and 6.1) can be summarized in a nutshell as follows:A set of regular languages is a lattice of languages if and only if it can be defined by a set of profinite equations.The product on profinite words is the dual of the residuation operations on regular languages.In their more general form, our equations are of the form u ¿v, where u and v are profinite words. The first result not only subsumes Eilenberg-Reiterman's theory of varieties and their subsequent extensions, but it shows for instance that any class of regular languages defined by a fragment of logic closed under conjunctions and disjunctions (first order, monadic second order, temporal, etc.) admits an equational description. In particular, the celebrated McNaughton-Schützenberger characterisation of first order definable languages by the aperiodicity condition x ¿ = x ¿ + 1, far from being an isolated statement, now appears as an elegant instance of a very general result.
Helping Teachers Handle the Flood of Data in Online Student Discussions
Authors: Oliver Scheuer, Bruce M. Mclaren
Venue: Proceedings of the 9th international conference on Intelligent Tutoring Systems (2008)

E-discussion tools provide students with the opportunity not only to learn about the topic under discussion but to acquire argumentation and collaboration skills and to engage in analytic thinking. However, too often, e-discussions are not fruitful and moderation is needed. We describe our approach, which employs intelligent data analysis techniques, to support teachers as they moderate multiple simultaneous discussions. We have generated six machine-learned classifiers for detecting potentially important discussion characteristics, such as a "reasoned claim" and an "argument-counterargument" sequence. All of our classifiers have achieved satisfactory Kappa values and are integrated in an online classification system. We hypothesize how a teacher might use this information by means of two authentic e-discussion examples. Finally, we discuss ways to bootstrap from these fine-grained classifications to the analysis of more complex patterns of interaction.
A Novel Method Providing Multimedia Contents According to Preference Clones in Mobile Environment
Authors: Sanggil Kang, Sungjoon Park
Venue: Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007 (2007)

We introduce a novel method of automatic providing multimedia content in mobile environment. With using our method, the problem of the limitation of resource of mobile devices can be solved. In this paper, we introduce a novel method of recommendation of personalized contents according to preference clones using a collaborative filtering technique in mobile environment. We divide the user group to two sub-groups by analyzing the match of preferences of members in the sub-groups. The division process recursively applies to each sub-group and place the sub-groups in a binary decision tree (BDT). From the binary decision tree, we identify the preference clones of each target user by matching the target user's consumption behavior to that of each sub-group in the BDT with a sequential manner. We also implemented our system based on Java Micro Edition platform.
A Framework for Proving Correctness of Adjoint Message-Passing Programs
Authors: Uwe Naumann, Laurent Hascoët, Chris Hill, Paul Hovland, Jan Riehme, Jean Utke
Venue: Proceedings of the 15th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface (2008)

We propose a technique for proving correctness of adjoint message passing programs that relies on data dependences in partitioned global address space. As an example we discuss asynchronous unbuffered send/receive using MPI.
The HM-Nucleus: Distributed Kernel Design for the Homogeneous Multiprocessor
Authors: Kin Li, Nikitas Dimopoulos, J. william Atwood
Venue: IEEE Micro (1987)

This modular, hierarchical operating system will capitalize on hardware features deemed important for image and digital signal processing: a fast LAN and shared memory.