ppxscal/embedding_network huggingface dataset:
Prediction of MPEG Traffic Data Using a Bilinear Recurrent Neural Network with Adaptive Training
Authors: Dong-Chul Park
Venue: Proceedings of the 2009 International Conference on Computer Engineering and Technology - Volume 02 (2009)

A time-series prediction model using a Bilinear Recurrent Neural Network (BRNN) is proposed in this paper. The BRNN model used in this paper is the Multiresolution architecture with an adaptive training mode. The Multiresolution Bilinear Recurrent Neural Network (MBRNN) is based on the BLRNN that has been proven to have robust abilities in modeling and predicting time series. The proposed MBRNN-based predictor is applied to real-time MPEG video traffic data. The performance of the proposed MBRNN-based predictor is evaluated and compared with the conventional MultiLayer Perceptron Type Neural Network (MLPNN)-based predictor and BRNN-based predictor. When compared with the MLPNN-based predictor and theBRNN-based predictor, the proposed MBRNN-based predictor shows significant improvement in terms of the Normalized Mean Square Error (NMSE) criterion.
Web Page Personalization Based on Weighted Association Rules
Authors: R. Forsati, M. R. Meybodi, A. Ghari Neiat
Venue: Proceedings of the 2009 International Conference on Electronic Computer Technology (2009)

Web personalization is the process of customizing a web site to the needs of each specific user or set of users, taking advantage of the knowledge acquired through the analysis of the user’s navigational behavior. Personalized recommendation by predicting user-browsing behavior using association-mining technology has gained much attention in web personalization research area. However, the resulting association patterns did not perform well in prediction of future browsing patterns due to the low matching rate of the resulting rules and users’ browsing behavior. In this paper, we extend the traditional association rule problem by allowing a weight to be associated with each item in a transaction to reflect the interest/intensity of each item within the transaction. In turn, this provides us with an opportunity to associate a weight parameter with each item in a resulting association rule. We assign a significant weight to each page based on the time spent by user on each page and visiting frequency of each page, taking in to account the degree of interest instead of binary weighting. We present new personalized recommendation method base on the proposed weighted association-mining technique. We show, through experimentation on real data set that this approach results in more objective and representative predictions and shows a significant improvement in the recommendation effectiveness in comparison to the traditional association rule approaches.
Object-oriented texture analysis for the unsupervised segmentation of biopsy images for cancer detection
Authors: Akif Burak Tosun, Melih Kandemir, Cenk Sokmensuer, Cigdem Gunduz-Demir
Venue: Pattern Recognition (2009)

Staining methods routinely used in pathology lead to similar color distributions in the biologically different regions of histopathological images. This causes problems in image segmentation for the quantitative analysis and detection of cancer. To overcome this problem, unlike previous methods that use pixel distributions, we propose a new homogeneity measure based on the distribution of the objects that we define to represent tissue components. Using this measure, we demonstrate a new object-oriented segmentation algorithm. Working with colon biopsy images, we show that this algorithm segments the cancerous and normal regions with 94.89 percent accuracy on the average and significantly improves the segmentation accuracy compared to its pixel-based counterpart.
Bio-inspired fuzzy logic based tuning of power system stabilizer
Authors: S. P. Ghoshal, A. Chatterjee, V. Mukherjee
Venue: Expert Systems with Applications: An International Journal (2009)

In this paper, bacteria foraging optimization (BFO) - a bio-inspired technique, is utilized to tune the parameters of both single-input and dual-input power system stabilizers (PSSs). Conventional PSS (CPSS) and the three dual-input IEEE PSSs (PSS2B, PSS3B, and PSS4B) are optimally tuned to obtain the optimal transient performances. A comparative performance study of these four variants of PSSs is also made. It is revealed that the transient performance of dual-input PSS is better than single-input PSS. It is, further, explored that among dual-input PSSs, PSS3B offers superior transient performance. A comparison between the results of the BFO and that of genetic algorithm (GA) is conducted in this study. The comparison reveals that BFO is more effective than GA in finding the optimal transient performance. For on-line, off-nominal operating conditions Sugeno fuzzy logic (SFL) based approach is adopted. On real time measurements of system operating conditions, SFL adaptively and very fast yields on-line, off-nominal optimal stabilizer parameters.
A Cryptograph Index Technology Based on Wrong Hit Expectation
Authors: Feng Gao, Danfeng Zhao
Venue: Proceedings of the 2009 International Conference on Electronic Computer Technology (2009)

How to improve query efficiency in cryptograph database is an essential problem in database encryption technology. As one kind of methods for improving cryptograph query efficiency in database, existing cryptograph index technologies suffer from two main problems: low query hit rate and lack of information disclosure measures. In this paper, we propose a new cryptograph index method based on the probability distribution of queries. We first define the conception of whole-wrong-hit expectation. Then a complex bucket-partition cryptograph index technology, which is used for nonequiprobable query, and a cryptograph query strategy are presented. Finally, information disclosure can be measured and eliminated using a k-anonymity based method. Experimental results demonstrate the improvement of our proposed method over the existing partition algorithms.
Rough Set Based Ensemble Prediction for Topic Specific Web Crawling
Authors: Suman Saha, C. A. Murthy, Sankar K. Pal
Venue: Proceedings of the 2009 Seventh International Conference on Advances in Pattern Recognition (2009)

The rapid growth of the world wide web had made the problem of useful resource discovery an important one in recent years. Several techniques such as focused crawling and intelligent crawling have recently been proposed for topic specific resource discovery. All these crawlers use the hypertext features behavior in order to perform topic specific resource discovery. A focused crawler uses the relevance score of the crawled page to score the unvisited URLs extracted from it. The scored URLs are then added to the frontier. Then it picks up the best URL to crawl next.Focused crawlers rely on different types of features of the crawled pages to keep the crawling scope within the desired domain and they are obtained from URL, anchor text, link structure and text contents of the parent and ancestor pages.Different focused crawling algorithms use these different set of features to predict the relevance and quality of the unvisited Web pages. In this article a combined method based on Rough Set Theory has been proposed. It combines the available predictions using decision rules and can build much larger domain-specific collections with less noise. Our experiment in this regard has provided better Harvest rate and better Target recall for focused crawling.
Semi-supervised Learning of Caricature Pattern from Manifold Regularization
Authors: Junfa Liu, Yiqiang Chen, Jinjing Xie, Xingyu Gao, Wen Gao
Venue: Proceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling (2009)

Automatic caricature synthesis is to transform the input face to an exaggerated one. It is becoming an interesting research topic, but it remains an open issue to specify the caricature's pattern for the input face. This paper proposed a novel pattern prediction method based on MR (manifold regularization), which comprises three steps. Firstly, we learn the caricature pattern by manifold dimension reduction, and select some low dimensional caricature pattern as the labels for corresponsive true faces. Secondly, manifold regularization is performed to build a semi-supervised regression between true faces and the pattern labels. In the third step of offline phase, the input face is mapped to a pattern label by the learnt regressive model, and the pattern label is further transformed to caricature parameters by a locally linear reconstruction algorithm. This approach takes advantage of manifold structure lying in both true faces and caricatures. Experiments show that, low dimensional manifold represents the caricature pattern well and the semi-supervised regressive model from manifold regularization can predict the target caricature pattern successfully.
Three-phase strategy for the OSD learning method in RBF neural networks
Authors: Gh. A. Montazer, Reza Sabzevari, Fatemeh Ghorbani
Venue: Neurocomputing (2009)

This paper presents a novel approach in learning algorithms commonly used for training radial basis function (RBF) neural networks. This approach could be used in applications that need real-time capabilities for retraining RBF neural networks. The proposed method is a Three-Phase Learning Algorithm that optimizes the functionality of the Optimum Steepest Decent (OSD) learning method. This methodology focuses to attain greater precision in initializing the center and width of RBF units. An RBF neural network with well-adjusted RBF units in the train process will result in better performance in network response. This method is proposed to reach better performance for RBF neural networks in fewer train iterations, which is the critical issue in real-time applications. Comparing results employing different learning strategies shows interesting outcomes as have come out in this paper.
Optimal and self-tuning weighted measurement fusion Wiener filter for the multisensor multichannel ARMA signals
Authors: Xiao-Jun Sun, Zi-Li Deng
Venue: Signal Processing (2009)

For the multisensor multichannel autoregressive moving average (ARMA) signals with white measurement noises, using the modern time series analysis method, based on the ARMA innovation models, white noise estimators, and measurement predictors, an optimal weighted measurement fusion Wiener filter is presented by the weighted least squares (WLS) method. It can handle the fused filtering, smoothing and prediction problems in a unified framework. When the noise variances and model parameters are unknown, based on the on-line identification of the local and fused ARMA innovation models, a self-tuning weighted measurement fusion Wiener filter is presented. By the dynamic error system analysis (DESA) method, it is rigorously proved that the self-tuning fuser converges to the optimal fuser in a realization, so that it has the asymptotic optimality. Compared with the globally optimal centralized fusion time-varying Kalman filter, the proposed optimal and self-tuning Wiener fusers have the asymptotic global optimality, whose accuracies are higher than these of the optimal and self-tuning distributed Wiener fusers and local Wiener filters, respectively. A simulation example shows their effectiveness.
Implementation of IT in Construction & Property Enterprises
Authors: J. Sommerville
Venue:  (2007)

Contrary to stereotype, the construction industry has embraced IT with some vigor. Computers are used effectively across the sector and this use is increasing. A range of new issues have emerged in consequence.This practical book draws on direct industrial experience and examines the role of IT within a range of enterprises operating in the construction and property industry. Emphasis is given to the human side of IT and the effects of the implementation of IT systems on them. The functionality of the IT systems is considered, as is the design brief and the operation of the applications. Case reviews of a range of applications are discussed and issues arising from their implementation are explored. Pitfalls, benefits and experience shapers are reviewed and presented systematically so the reader can consider these in the light of their own experience.Presenting key drivers for advanced students and for professionals who may have to face these issues in the future, Implementation of IT in Construction and Property Enterprises presents clearly the value of IT implementation and the benefits of a number of IT applications.
You can play that again: exploring social redundancy to derive highlight regions in videos
Authors: Jose San Pedro, Vaiva Kalnikaite, Steve Whittaker
Venue: Proceedings of the 13th international conference on Intelligent user interfaces (2009)

Identifying highlights in multimedia content such as video and audio is currently a very difficult technical problem. We present and evaluate a novel algorithm that identifies highlights by combining content analysis with Web 2.0 data mining techniques. We exploit the fact that popular content tends to be redundantly uploaded onto community sharing sites. Our "social summarization" technique first identifies overlaps in uploaded scenes and then uses the upload frequency of each video scene to compute that scene's importance in the complete video. Our user evaluation shows the reliability of the technique: scenes automatically selected by our method are agreed by experts to be the most relevant.
A Randomized Pay-as-Bid Mechanism for Grid Resource Allocation
Authors: Jochen Stöβer
Venue: Proceedings of the 2008 10th IEEE Conference on E-Commerce Technology and the Fifth IEEE Conference on Enterprise Computing, E-Commerce and E-Services (2008)

Grid technology denotes a computing paradigm in which computing resources are shared across geographical and administrative boundaries. Market-based mechanisms are deemed promising to provide a better fit to grids' strategic and dynamic nature than classic technical schedulers. In this paper, we present a deterministic heuristic that achieves the distinct trade-off between scalability by approximation on the one hand and truthful prices for resource requests on the other hand. However, in special cases, the heuristic might generate efficiency far from optimal. At the core of this paper, we thus elaborate a randomized heuristic that might help in intercepting such worst cases. We show how this randomized heuristic can be turned to a mechanism that is truthful in expectation. However, this pricing scheme is infeasible in practice, and we thus propose the use of the simple yet promising pay-as-bid pricing rule in conjunction with a discount for high bidders in order to induce requesters to bid close to their true valuations. The evaluation of the randomized heuristic's strategic and allocative properties provides promising results.
Letters: Estimation of linear non-Gaussian acyclic models for latent factors
Authors: Shohei Shimizu, Patrik O. Hoyer, Aapo Hyvärinen
Venue: Neurocomputing (2009)

Many methods have been proposed for discovery of causal relations among observed variables. But one often wants to discover causal relations among latent factors rather than observed variables. Some methods have been proposed to estimate linear acyclic models for latent factors that are measured by observed variables. However, most of the methods use data covariance structure alone for model identification, and this leads to a number of indistinguishable models. In this paper, we show that a linear acyclic model for latent factors is identifiable when the data are non-Gaussian.
Bringing concepts to life: introducing a rapid interactive sketch modelling toolkit for industrial designers
Authors: Ian Culverhouse, Steve Gill
Venue: Proceedings of the 3rd International Conference on Tangible and Embedded Interaction (2009)

This paper presents the results of work in progress aimed at answering the challenges faced by industrial designers creating information appliance prototypes at a very early stage in the design process. A new system centred on a hardware unit called an IE5 is described in detail. The authors argue that the new method offers a potential solution that will allow prototyping in the critical 1--2 hour timeframe which would allow genuinely iterative hardware prototyping integration in the design process' early stages. The system utilises passive RFiD embedded controls that can be attached to a sketch model without the need for any wiring or soldering. It solves the problems encountered by previous RFiD based toolkits in flexibility, footprint size, and range / connection reliability. While the system is still in development, the concept has been proved by a basic prototype. The paper identifies the system's strengths and weaknesses before discussing areas for further development.
Survey findings towards awareness of mobile phones' security issues
Authors: Iosif I. Androulidakis, Dimitrios Papapetros
Venue: Proceedings of the 7th conference on Data networks, communications, computers (2008)

In order to investigate some key issues related to mobile phones' security from a user's perspective, this paper explores and presents the results of a survey conducted in the University of Ioannina, Greece according to which 454 participants were asked about quite many key factors concerning various aspects about a possible interception of their mobile phone. The resultants are very interesting and can be considered as a potential guide by various mobile operators for their future technological investments.
Improved PD Controller for AUV Bsed on MPSO
Authors: Chong Lv, Yong-Jie Pang, Lei Zhang
Venue: Proceedings of the 2009 International Asia Conference on Informatics in Control, Automation and Robotics (2009)

Traditional motion controller for AUV is aiming at single degree of freedom(DOF) to decouple so it ignores the coupling effects of each DOF and it performs bad in some complex navigation states. In order to compensate the coupling effects, a novel PD controller is designed. This controller is constructed on the hydrodynamic model of AUV in six-DOFs and simplified according to the practical needs. It uses one motion control equation to realize the control in four-DOFs. Because the number of the control parameters is so large, it is hard to adjust them manually, so a modified Particle Swarm Optimization(MPSO) algorithm is used to optimize the parameters of control equation to improve efficiency and reduce the bad effect caused by subjective factors. Finally based on the simulation platform of a certain AUV, simulation experiments are conducted for the proposed controller and the results show that the presented controller is feasible in application to AUV.
Towards the automated verification of semi-structured documents
Authors: Franz Weitl, Mirjana Jakšić, Burkhard Freitag
Venue: Data Knowledge Engineering (2009)

The semantic consistency of context-dependent documents is an important problem in the fields of document databases and web information systems. While techniques for adapting documents to different context of use are well investigated, the consistency maintenance of context-dependent documents remains a challenge. Existing methods are specialized on specific document formats or domains, or are cumbersome and costly to apply. In this paper, we present a new approach focusing on user support by a pattern-based specification methodology. We combine temporal logic, ontologies, and a pattern-based specification approach for reaching high expressiveness, flexible applicability, and yet a high degree of usability.
SmartVisor: towards an efficient and compatible virtualization platform for embedded system
Authors: Disheng Su, Wenzhi Chen, Wei Huang, Haitao Shan, Yunhong Jiang
Venue: Proceedings of the Second Workshop on Isolation and Integration in Embedded Systems (2009)

Embedded systems are making rapid changes and becoming increasingly sophisticated. To make full use of all the hardware resources on the system, multi OS environments and virtualization are both feasible ways but either needs lots of porting efforts or suffers performance degradation without hardware support for virtualization. We propose a virtualization platform for embedded system named the SmartVisor to provide a PC-compatible layer for guest OS, and it gains native-like performance while keeping zero-modification to guest OS by leveraging KVM and Intel's Atom embedded processor. SmartVisor realizes device pass-through by identity mapping of the guest memory and implements a Direct-Shadow mechanism to get rid of majority part of VMExit overhead. Measurement result shows the benefits of SmartVisor and deeper study of host-swapping reveals the potential advantages of SmartVisor on embedded systems.
Crosswalking: Processing MARC in XML Environments with MARC4J
Authors: Bas Peters
Venue:  (2007)

This concise book is for library programmers who want to learn to use MARC4J to process bibliographic data. MARC4J is an open source software library for working with MARC, MARCXML and related bibliographic standards in Java. The library is designed to bridge the gap between MARC and XML. Crosswalking provides useful information for both developers learning about MARC4J for the first time and developers returning for reference and more advanced material. The chapters provide many reusable examples, while appendixes provide a reference to the API and the command-line utilities.
Purple SOX extraction management system
Authors: Philip Bohannon, Srujana Merugu, Cong Yu, Vipul Agarwal, Pedro DeRose, Arun Iyer, Ankur Jain, Vinay Kakade, Mridul Muralidharan, Raghu Ramakrishnan, Warren Shen
Venue: ACM SIGMOD Record (2009)

We describe the Purple SOX (PSOX) EMS, a prototype Extraction Management System currently being built at Yahoo!. The goal of the PSOX EMS is to manage a large number of sophisticated extraction pipelines across different application domains, at the web scale and with minimum human involvement. Three key value propositions are described: extensibility, the ability to swap in and out extraction operators; explainability, the ability to track the provenance of extraction results; and social feedback support, the facility for gathering and reconciling multiple, potentially conflicting sources.
Dynamic RAM architectures for graphics applications
Authors: Douglas L. Finke
Venue: Proceedings of the May 16-19, 1983, national computer conference (1983)

This paper explores the requirements for future graphics memories and analyzes the requirements for two of the biggest problems in graphics terminal design, raster display bandwidth and random-bit update performance. To solve these problems a new access mode for dynamic RAMs called Ripplemode&trade; will be proposed. This mode directly solves the raster display bandwidth problem by providing high-speed access to a serial bit stream. Under certain circumstances this mode also improves the performance of random-bit updates.