ppxscal/embedding_network huggingface dataset:
Application of complex discrete wavelet transform in classification of Doppler signals using complex-valued artificial neural network
Authors: Murat Ceylan, Rahime Ceylan, Yüksel Özbay, Sadik Kara
Venue: Artificial Intelligence in Medicine (2008)

Objective: In biomedical signal classification, due to the huge amount of data, to compress the biomedical waveform data is vital. This paper presents two different structures formed using feature extraction algorithms to decrease size of feature set in training and test data. Materials and methods: The proposed structures, named as wavelet transform-complex-valued artificial neural network (WT-CVANN) and complex wavelet transform-complex-valued artificial neural network (CWT-CVANN), use real and complex discrete wavelet transform for feature extraction. The aim of using wavelet transform is to compress data and to reduce training time of network without decreasing accuracy rate. In this study, the presented structures were applied to the problem of classification in carotid arterial Doppler ultrasound signals. Carotid arterial Doppler ultrasound signals were acquired from left carotid arteries of 38 patients and 40 healthy volunteers. The patient group included 22 males and 16 females with an established diagnosis of the early phase of atherosclerosis through coronary or aortofemoropopliteal (lower extremity) angiographies (mean age, 59 years; range, 48-72 years). Healthy volunteers were young non-smokers who seem to not bear any risk of atherosclerosis, including 28 males and 12 females (mean age, 23 years; range, 19-27 years). Results and conclusion: Sensitivity, specificity and average detection rate were calculated for comparison, after training and test phases of all structures finished. These parameters have demonstrated that training times of CVANN and real-valued artificial neural network (RVANN) were reduced using feature extraction algorithms without decreasing accuracy rate in accordance to our aim.
iCAMS: A Mobile Communication Tool Using Location and Schedule Information
Authors: Yasuto Nakanishi, Kazunari Takahashi, Takayuki Tsuji, Katsuya Hakozaki
Venue: IEEE Pervasive Computing (2004)

iCAMS, a new mobile communication tool for cellular phones, uses location and schedule information. By analyzing communication logs and the results from questionnaires and user interviews, we evaluated our systemand found the following: 1) Location information is good for estimating the callee's context, and enables serendipitous meetings. 2) The sorted list of communication channels in the callee's priority list helps callers and callees find a nexus between the caller's demands and the callee's wishes. 3) We should switch location-sensing methods according to distances in both real and mental space.
Development of a Reference Platform for Generic Audio Classification
Authors: Roman Jarina, Martin Paralic, Michal Kuba, Ján Olajec, Andrej Lukác, Miroslav Dzurek
Venue: Proceedings of the 2008 Ninth International Workshop on Image Analysis for Multimedia Interactive Services (2008)

Detection of key sounds, such as applause, laugh, music, environmental noise, etc., is one of the challenges in intelligent management of multimedia information and content understanding. In this paper, we report progress in development of a reference content-based audio classification algorithm that is based on a conventional and widely accepted approach, namely signal parameterization by MFCC followed by GMM classification. Our developed labeled audio database and the conventional classification model should serve as a reference platform for an evaluation of novel, alternative or more advanced methods in audio content analysis.
Classifier Loss Under Metric Uncertainty
Authors: David B. Skalak, Alexandru Niculescu-Mizil, Rich Caruana
Venue: Proceedings of the 18th European conference on Machine Learning (2007)

Classifiers that are deployed in the field can be used and evaluated in ways that were not anticipated when the model was trained. The final evaluation metric may not have been known at training time, additional performance criteria may have been added, the evaluation metric may have changed over time, or the real-world evaluation procedure may have been impossible to simulate. Unforeseen ways of measuring model utility can degrade performance. Our objective is to provide experimental support for modelers who face potential "cross-metric" performance deterioration. First, to identify model-selection metrics that lead to stronger cross-metric performance, we characterize the expected loss where the selection metric is held fixed and the evaluation metric is varied. Second, we show that the number of data points evaluated by a selection metric has substantial impact on the optimal evaluation. While addressing these issues, we consider the effect of calibrating the classifiers to output probabilities influences. Our experiments show that if models are well calibrated, cross-entropy is the highest-performing selection metric if little data is available for model selection. With these experiments, modelers may be in a better position to choose selection metrics that are robust where it is uncertain what evaluation metric will be applied.
On the Technological Aspects of Generative Learning Object Development
Authors: Robertas Damaševičius, Vytautas Štuikys
Venue: Proceedings of the 3rd international conference on Informatics in Secondary Schools - Evolution and Perspectives: Informatics Education - Supporting Computational Thinking (2008)

Learning Objects (LOs) are digital resources that can be used (and reused) to support the learning process. Generative Learning Objects (GLOs) are generic and reusable LOs from which the specific LO content can be generated on demand. We discuss the technological aspects required for implementing the GLOs: (1) variability modeling using feature diagrams, (2) multi-dimensional separation of the LO design concerns, (3) multiple languages for implementing a LO specification, (4) an external metalanguage for implementing parameterization, generalization and modification of a LO, and (5) heterogeneous metaprogramming techniques for generating LO instances from the generic LO specifications on demand. An example of a GLO for teaching array sorting algorithms in a programming curriculum is presented.
Combining Macro-operators with Control Knowledge
Authors: Rocío García-Durán, Fernando Fernández, Daniel Borrajo
Venue: Inductive Logic Programming: 16th International Conference, ILP 2006, Santiago de Compostela, Spain, August 24-27, 2006, Revised Selected Papers (2007)

Inductive Logic Programming (ilp) methods have proven to succesfully acquire knowledge with very different learning paradigms, such as supervised and unsupervised learning or relational reinforcement learning. However, very little has been done on applying it to General Problem Solving (gps). One of the ilp-based approaches applied to gps is hamlet. This method learns control rules (heuristics) for a non linear planner, prodigy4.0, which is integrated into the ipss system; control rules are used as an effective guide when building the planning search tree. Other learning approaches applied to planning generate macro-operators, building high-level blocks of actions, but increasing the branching factor of the search tree. In this paper, we focus on integrating the two different learning approaches (hamlet and macro-operators learning), to improve a planning process. The goal is to learn control rules that decide when to use the macro-operators. This process is successfully applied in several classical planning domains.
Skin Segmentation Using Color Distance Map and Water-Flow Property
Authors: M. Abdullah-Al-Wadud, Oksam Chae
Venue: Proceedings of the 2008 The Fourth International Conference on Information Assurance and Security (2008)

A new approach for skin region segmentation is proposed. It uses color distance map (CDM) and an algorithm based on the property of flow of water. The CDM itself is a grayscale image, which makes the algorithm very simple. However, it is still capable of providing color information based on which some skin and non-skin seed regions can be determined reliably. Then a water-flow based procedure determines skin and non-skin segments completely. The color distance map is robust against variations in imaging conditions and the water-flow procedure efficiently uses the region information to extract solid skin segments without generating much noisy segments.
Using ontologies and STEP standards for the semantic simplification of CAD models in different engineering domains
Authors: Jorge Posada, Carlos Toro, Stefan Wundrak, Andre Stork
Venue: Applied Ontology (2006)

We present in this article a compression system that uses STEP compliant standards for the compression and design review visualization of large CAD data sets. Our approach is orthogonal to the traditional techniques applied in the field, as we complement previous works by introducing semantic criteria along with algorithms for the categorization, simplification and user-oriented adaptation of the engineering components described by domain-specific standards. As an example, we have implemented two test cases in two specific domains - ISO-STEP 13013-AP227 in the case of industrial Plant Design, and CIS/2 in the case of Steel Detailing Design (Structures Design).
Mitigating the Impact of Liars by Reflecting Peer's Credibility on P2P File Reputation Systems
Authors: So Young Lee, O-Hoon Kwon, Jong Kim, Sung Je Hong
Venue: Agents and Peer-to-Peer Computing: 5th International Workshop, AP2PC 2006, Hakodate, Japan, May 9, 2006, Revised and Invited Papers (2006)

Liars that submit wrong feedbacks can subvert the reputation systems by inducing false detection of untrustworthy downloads. In this paper, we propose a reputation management scheme which mitigates the impact of liars and reduces the untrustworthy downloads on the P2P file reputation system. Our scheme uses global file reputations and local peer credibilities to build the trust of downloaded files. Simulation results show that the proposed scheme effectively reduces the untrustworthy downloads with low false detection rate even when the high rate of untrustworthy files and liars exist.
Torsional Pile Subjected to Transient Loading in Viscoelastic Poroelastic Medium
Authors: Yuanqiang Cai, Gang Chen, Feiyu Liu
Venue: Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007 (2007)

Considering viscoelastic saturated soil, The transient dynamic response of an elastic pile is studied. The pile-soil system is divided into thin layers, the control equations of the soil are solved respectively by using Laplace transform. Considering the mixed boundary-value conditions at the interface of pile and soil, expression is derived to describe the relationship between the inner force and the displacement of the pile segment. Then the expressions of all pile segments are integrated to form the stiffness matrix of pile. Considering the transient torsional loading at the pile head, the pile displacement in time domain is calculated by numerical method, with the result showing the influence of various pile parameters.
Feedback using dummy bits
Authors: Natasa Zivic, Sergiu Tcaciuc
Venue: Proceedings of the WSEAS International Conference on Applied Computing Conference (2008)

Feedback is used for improvement of Soft Input Decryption. Soft Input Decryption enables integration of decryption into the decoding process for correction of cryptographic check values. This paper develops an idea of improvement of feedback by usage of dummy bits. Usage of feedback relies on existence of two information: the corrected (or known) information is used as a feedback for correction of another information. In this paper intentionally added dummy bits are used as known information for a feedback to information which has to be corrected. The results of computer simulations without and with puncturing have been presented and discussed.
Normalized Cross-Correlation Based Fingerprint Matching
Authors: Deepak Kumar Karna, Suneeta Agarwal, Shankar Nikam
Venue: Proceedings of the 2008 Fifth International Conference on Computer Graphics, Imaging and Visualisation (2008)

To perform fingerprint matching based on the number of corresponding minutia pairings, has been in use for quite sometime. But this technique is not very efficient for recognizing the low quality fingerprints. To overcome this problem, some researchers suggest the correlation technique which provides better result. Use of correlation-based methods is increasing day-by-day in the field of biometrics as it provides better results. In this paper, we propose normalized cross-correlation technique for fingerprint matching to minimize error rate as well as reduce the computational effort than the minutiae matching method. The EER (Equal Error Rate) obtained from result till now with minutiae matching method is 3%, while that obtained for the method proposed in this paper is approx 2% for all types of fingerprints in combined form.
Parallel Query Processing in Databases on Multicore Architectures
Authors: Ralph Acker, Christian Roth, Rudolf Bayer
Venue: Proceedings of the 8th international conference on Algorithms and Architectures for Parallel Processing (2008)

In this paper we present a novel and complete approach on how to encapsulate parallelism for relational database query execution that strives for maximum resource utilization for both CPU and disk activities. Its simple and robust design is capable of modeling intra- and inter-operator parallelism for one or more parallel queries in a most natural way. In addition, encapsulation guarantees that the bulk of relational operators can remain unmodified, as long as their implementation is thread-safe. We will show, that with this approach, the problem of scheduling parallel tasks is generalized, so that it can be safely entrusted to the underlying operating system (OS) without suffering any performance penalties. On the contrary, relocation of all scheduling decisions from the DBMS to the OS guarantees a centralized and therefore near-optimal resource allocation (depending on the OS's abilities) for the complete system that is hosting the database server as one of its tasks. Moreover, with this proposal, query parallelization is fully transparent on the SQL interface of the database system. Configuration of the system for effective parallel query execution can be adjusted by the DB administrator by setting two descriptive tuning parameters. A prototype implementation has been integrated into the Transbase® relational DBMS engine.
Analysis on Construction of a Sub-sea Tunnel
Authors: Wantao Ding, Shucai Li, Weishen Zhu
Venue: Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007 (2007)

Based on numerical simulation, the construction analysis of a sub-sea tunnel is rewarded. Under the condition that the lateral pressure coefficient is equal to 0.5, two common construction methods that are processes of whole section excavation, schemes of benching excavation are analyzed. The result of that method of benching excavation will slightly disturb the surrounding rock compared the displacements of key-points and the distributions of plastic area on the surface of wall rock. Finally, the conclusion is reached that the reasonable bench pace between benching excavation is around 10 meters is proposed by analyzing tunnel stability under different bench lengths. The conclusion can direct the construction of the tunnel better.
An adaptive agent model for self-organizing MAS
Authors: Candelaria Sansores, Juan Pavón
Venue: Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3 (2008)

Self-organizing multi-agent systems (MAS) use different mechanisms to mimic the adaptation exhibited by complex systems situated in unpredictable and dynamic environments. These mechanisms allow a collection of agents to spontaneously adapt their behavior towards an optimal organization. This paper presents a self-organization approach that exploits several self-organizing principles through an agent adaptive architecture and a reinforcement mechanism. This mechanism was designed and implemented using the INGENIAS methodology.
Cluster Stability Assessment Based on Theoretic Information Measures
Authors: Damaris Pascual, Filiberto Pla, J. Salvador Sánchez
Venue: Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications (2008)

Cluster validation to determine the right number of clusters is an important issue in clustering processes. In this work, a strategy to address the problem of cluster validation based on cluster stability properties is introduced. The stability index proposed is based on information measures taking into account the variation on some of these measures due to the variability in clustering solutions produced by different sample sets of the same problem. The experiments carried out on synthetic and real database show the effectiveness of the cluster stability index when the clustering algorithm is based on a data structure model adequate to the problem.
Analysis of Nested CRC with Additional Net Data in Communication
Authors: Tina Mattes, Frank Schiller, Annemarie Mörwald, Thomas Honold
Venue: Proceedings of the 27th international conference on Computer Safety, Reliability, and Security (2008)

Cyclic Redundancy Check (CRC) is an established coding method to ensure a low probability of undetected errors in data transmission. CRC is widely used in industrial field bus systems where communication is often executed through different layers. Some layers have their own CRC and add their own specific data to the net data that is meant to be sent. Up to now, this nesting is not yet included in the safety proof of systems. Hence, additional effort is made to achieve a required degree of safety which was probably on hand but could not be proven. The paper presents an approach to involve the nesting in the calculation of the residual error probability based on methods of coding theory. This approach helps to reduce the number of worst case assumptions in the overall safety proof and finally to reduce the necessary online efforts like the number of parity bits.
Lei Feng lives on in cyberspace
Authors: Kay Hearn, Ann Willis
Venue: Proceedings of the 3rd international conference on Digital Interactive Media in Entertainment and Arts (2008)

Walk into any Internet caf&eacute; across the People's Republic of China (PRC) and most likely you will find that they predominantly consist of young people playing online games. Globally, China is the fourth largest online games market, and the third largest in Asia behind South Korea and Japan, while Taiwan is the fourth largest in the region. The United States of America has the biggest online games market in the world [1]. China's state media cited a survey in September 2007 that found the vast majority of school children stayed home during school holidays playing online games and surfing the Internet [2]. The 21st Statistical Survey Report on the Internet stated that there were 210 million Internet users and of this 59.3% play online games, and the average monthly expenditure for online games is 84 Yuan [3, 4]. An industry survey in 2007 revealed that the number of online gamers was 40.1 million [5]. The industry in China was estimated to be worth 1.04 billion USD at the end of 2006 and is expected to have huge growth potential in the next three years [6]. Massively Multiplayer Online Game (MMOG) and Massively Multiplayer Online Role-Playing Games (MMORPGs) are the most common. These games enable thousands of people to play at the same time. The government has sought to manage this online industry and content and use the same strategies used to manage other areas of government media production. This is done via the government's promotion of the technology, direct investment, regulation and the shaping of content through the code used to construct Chinese games. There is also a heavy emphasis on maintaining Chinese nationalism via Chinese game content that transfers to the online Internet gaming sphere. This maintenance is also evident via the sentiments produced by the gamers themselves. This paper explores the ways in which the government has sought to manage this sector of the Internet in their bid to create a virtual Chinese world and the tensions that have arisen in their management of this in relation to global informational flows. In doing so it also addresses the mythic, nationalistic narratives that are created and negotiated within the virtual space of the Chinese online gaming sector.
Detecting Periodically Expression in Unevenly Spaced Microarray Time Series
Authors: Jun Xian, Jinping Wang, Dao-Qing Dai
Venue: Proceedings of the 7th international conference on Computational Science, Part I: ICCS 2007 (2007)

Spectral estimation has important applications to microarray time series analysis. For unevenly sampled data, a common spectral estimation technique is to use the Lomb-Scargle algorithm. In this paper, we introduce a new reconstruction algorithm and singular spectrum analysis (SSA) method to deal with unevenly sampled microarray time series. The new reconstruction method is based on signal reconstruction technique in aliased shift-invariant signal spaces and a direct implemental algorithm is developed based on the B-spline basis. We experiments on simulated noisy signals and gene expression profiles show different effects for our designed three methods. The three methods are based on our presented reconstruction algorithm, SSA, classical FFT periodogram method and Lomb-Scargle periodogram method.
A Virtual Laboratory Platform Based on Integration of Java and Matlab
Authors: Yu Sheng, Weiping Wang, Jianxin Wang, Jianer Chen
Venue: Proceedings of the 7th international conference on Advances in Web Based Learning (2008)

Recently, it is a hot research to construct virtual laboratory (VL) in the modern remote education. This paper proposes a platform of VL based on the integration of Java and Matlab, which is called VL-JM. The VL-JM platform uses JMatLink to realize the seamless joint between Java and Matlab. Matlab is used for computing in the server, which improves the VL-JM platform simulation capability. In the VL-JM, simple and precise device components have been developed with the combination of JavaBeans components and Matlab. Furthermore, we develop the client with Java applet to make it be independent of operating system. This paper also introduces the design and implementation of VL-JM platform based on the integration of Java and Matlab in details. This paper discusses the realization of Java Matlab Proxy Server (JMPS) in detail, which is used for communicating between Beans components and Matlab. Taking digital communication virtual lab as an example, the communication process and the realization mechanism of the whole platform have been introduced and the validity of the VL-JM platform has been illustrated.
L-DSMS --- A Local Data Stream Management System
Authors: Christian Hänsel, Hans Jürgen Ohlbach, Edgar Stoffel
Venue: Proceedings of the 2nd European conference on Software Architecture (2008)

L-DSMS is a Local Data Stream Management System. It is a Java Program which can read an XML-file with a description of a network of processing nodes for streaming data. L-DSMS automatically combines all the processing nodes into a single Java program which then processes the data. L-DSMS has a number of predefined nodes, together with an interface for implementing new processing nodes. The generated network can be remotely monitored and reconfigured by a client, Visu-L-DSMS. An example application of L-DSMS is the transformation of RDS-TMC traffic messages into KML, which, in turn, can be visualised by Google Earth.