Search

While reading documents, people commonly make annotations: they underline or highlight text and write comments in the margin. Making annotations during reading activities has been shown to be an efficient method for aiding understanding and interpretation. In this paper we present a comparison of paper-based and online annotations in the workplace. Online annotations were collected in a laboratory study, making use of the Web-based annotation tool SpreadCrumbs. A field study was out to gather paper-based annotations. The results validate the benefits of Web annotations. A comparison of the online annotations with paper-based annotations provides several insights in user needs for enhanced online annotation tools, from which design guidelines can be drawn. [ABSTRACT FROM AUTHOR]

The history of test is looked at for IC Test to put in context the papers that are being highlighted at DATE. This paper focuses on the path that led to the adoption of structural test. ATE related historical aspects are not mentioned. [ABSTRACT FROM AUTHOR]

The fluorescence spectra of historical and model paper samples, previously irradiated with the laser beam at wavelengths of 1,064, 532, 355, and 266 nm, are recorded under excitation at 266 nm, and the nonirradiated samples are used for reference. The spectral profiles obtained for the laser-treated model papers made of cotton and/or linen only reveal differences compared to the reference ones. After irradiation at 532 and 1,064 nm, a decrease of the band intensities of the entire spectral profile is observed. In contrary, the UV irradiation at 355nm of the same samples results in the increase of bands centered at 341 and 370nm compared to the visible region only. Prolonged treatment at 266nm results in the marked increase of band intensities in the visible region and corresponds to the independently observed yellowing. [ABSTRACT FROM AUTHOR]

The main constituents of textiles, paper and parchment are proteins and polysaccharides. These organic matters are particularly sensitive to damage such as spotting, dimensional deformations, depolymerisation, and offer a surface particularly suitable towards the deposition of various materials. In the case of the paper and parchment cleaning, traditional techniques are well known, as well as the risk to make halos and shades when using the mechanical action of a scalpel or solvent mixtures to thin the spots. For textile artefacts the need to remove dust, spots, and mud residues is a duty though this action is quite difficult with traditional methods because the dense weft and warp structure does not allow a complete cleaning, without a minor damage of the artwork. The authors set up a research program to verify the possibility and the results of an Er:YAG laser equipment, emitting at 2,940 nm, following the results achieved previously in OPD on the treatment of organic materials (LACONA IV proceedings). [ABSTRACT FROM AUTHOR]

When performing quality inspection of recycled paper one phenomenon of concern is the appearance of macroscopic undulations on the paper sheet surface that may emerge shortly or some time after its production. In this paper we explore the detection and measurement of this defect by means of computer vision and statistical pattern recognition techniques that may allow early detection at the production site. We propose features computed from Gabor Filter Banks (GFB) and Discrete Wavelet Transforms (DWT) for the characterization of paper sheet surface bumpiness in recycled paper images. The lack of a precise definition of the defect and the great variability of the sheet deformation shapes and scales, both within each image and between images, introduce additional difficulties to the problem. We obtain, with both proposed modeling approaches (GFB and DWT), classification accuracies are comparable to the agreement between human observers. The best performance is obtained using DWT features. [ABSTRACT FROM AUTHOR]

Both Content analysis and link analysis have its advantages in measuring relationships among documents. In this paper, we propose a new method to combine these two methods to compute the similarity of research papers so that we can do clustering of these papers more accurately. In order to improve the efficiency of similarity calculation, we develop a strategy to deal with the relationship graph separately without affecting the accuracy. We also design an approach to assign different weights to different links to the papers, which can enhance the accuracy of similarity calculation. The experimental results conducted on ACM Data Set show that our new algorithm, S-SimRank, outperforms other algorithms. [ABSTRACT FROM AUTHOR]

This is a summary of the papers presented at the Active Conceptual Modeling of Learning (ACM-L) Workshop, November 8, 2006, Tucson, Arizona, USA, and several invited papers. [ABSTRACT FROM AUTHOR]

This chapter describes the development and structure of the NAPAP model and compares it to other forest sector models. The NAPAP model was based on PELPS and adapted to describe paper and paperboard product demand, pulpwood and recovered paper supply, and production capacity and technology, with spatially dynamic market equilibria. We describe how the model predicts paper and paperboard product demands and trade flows over time, concurrently with regional capacity changes and corresponding shifts in process technology based on Tobin's q theory of capital investment. We describe how the model was tested and calibrated and then provide examples of applications. [ABSTRACT FROM AUTHOR]

In this paper we review two well-known citation methods to find relatedness between scientific papers: co-citation and bibliographic coupling. We propose a practical method to estimate the co-citation relatedness using the Google search engine. We call this method Web co-citation. We conducted experiments on a collection of scientific papers to compare the performances of different methods. The experimental results show that our approach, despite its simplicity, is efficient in discovering the relatedness between scientific papers. [ABSTRACT FROM AUTHOR]

This paper is concerned with a multi-resolution tool for screening paper formation variations in various frequency regions on production line. A paper web is illuminated by two red diode lasers and the reflected light recorded as two time series of high resolution measurements constitute the input signal to the papermaking process monitoring system. The time series are divided into blocks and each block is analyzed separately. The task is treated as kernel based novelty detection applied to a multi-resolution time series representation obtained from the band-pass filtering of the Fourier power spectrum of the series. The frequency content of each frequency region is characterized by a feature vector, which is transformed using the canonical correlation analysis and then categorized into the inlier or outlier class by the novelty detector. The ratio of outlying data points, significantly exceeding the predetermined value, indicates abnormalities in the paper formation. The tools developed are used for online paper formation monitoring in a paper mill. [ABSTRACT FROM AUTHOR]

MIMO systems are of interest to meet the expected demand for higher data rates and lower delays in future wireless systems. In addition, multi-carrier systems are of interest to combat frequency-selective fading experienced over the larger bandwidth these future broadband systems will use. The introduction of these spatial and frequency resources adds extra dimensions and complexity for any scheduling algorithm in a multiuser system. In this paper, we investigate scheduling through utility functions implemented via genetic algorithms in order to reduce complexity. This paper extends our prior work for a single-carrier MIMO system using dirty paper coding to the multi-carrier case. Here, the users that are scheduled, the order they are encoded in, and the subcarrier frequencies they are assigned to will all affect the performance of the scheduling algorithm. We demonstrate that the genetic algorithm is still able to achieve a similar near-optimal performance relative to an exhaustive search with the same relative reduction in complexity. Additionally, with the use of OFDM, an increase in capacity is seen relative to the single-carrier case. [ABSTRACT FROM AUTHOR]

This paper presents a novel application of a semantic annotation system, named Cerno, to analyze research publications in electronic format. Specifically, we address the problem of providing automatic support for authors who need to deal with large volumes of research documents. To this end, we have developed Biblio, a user-friendly tool based on Cerno. The tool directs the user's attention to the most important elements of the papers and provides assistance by generating automatically a list of references and an annotated bibliography given a collection of published research articles. The tool performance has been evaluated on a set of papers and preliminary evaluation results are promising. The backend of Biblio uses a standard relational database to store the results. [ABSTRACT FROM AUTHOR]

Some of the most interesting developments within computer system design in recent years have emerged from an exploration of the ways everyday objects and artefacts can be augmented with computational resources. Often under the rubric of "ubiquitous computing", research programmes in Europe, North America and Japan have directed substantial funding towards these initiatives, and leading industrial and academic research laboratories have developed a diverse range of ubiquitous computing "solutions". These developments mark an important shift in system design, a shift that is having a corresponding impact on social science research. Surprisingly though, given the growing commitment to the ubiquitous and the tangible, there is a mundane, even humble artefact that pervades our ordinary lives that has received less attention than one might imagine. This artefact is paper. [ABSTRACT FROM AUTHOR]

The aim of this paper is to explore new metaphors for interaction design on tabletop system. Tabletop systems are shared horizontal surface for co-located collaboration, which leads to original problems when designing interactions. We propose two metaphors based on the paper: the peeling metaphor, and the slot metaphor, and then suggest a way of using them to design new interactions for solving some of the problems of tabletop systems: documents organization, documents transmission and documents duplication. [ABSTRACT FROM AUTHOR]

This paper addresses a Korean-English machine translation system for scientific papers. The MT system is supported by CL (Controlled Language)-guided source language rewriting. After analyzing the translation errors of the system, we defined Korean rewriting rules to avoid the linguistic obstacles that may affect the translation accuracy. To support this, a Korean CL-checker was implemented. We showed that this CL-guided MT system can improve the translation accuracy by about 13% by adopting CL rewriting rules. However, this improvement is still not enough for various purposes, because most of the users of the MT system may want to submit the translated texts to a conference or an academic journal. As the MT output contains erroneous expressions, a language model module was added to the pattern-based MT engine. The system automatically detects expressions with low frequency and asks the authors to examine the translation. By adopting CL rewriting rules and language model module to the existing MT engine, almost "professional" translations can be obtained. [ABSTRACT FROM AUTHOR]

In this tutorial paper we summarise the key features of the multi-threaded Qu-Prolog language for implementing multi-threaded communicating agent applications. Internal threads of an agent communicate using the shared dynamic database used as a generalisation of Linda tuple store. Threads in different agents, perhaps on different hosts, communicate using either a thread-to-thread store and forward communication system, or by a publish and subscribe mechanism in which messages are routed to their destinations based on content test subscriptions. We illustrate the features using an auction house application. This is fully distributed with multiple auctioneers and bidders which participate in simultaneous auctions. The application makes essential use of the three forms of inter-thread communication of Qu-Prolog. The agent bidding behaviour is specified graphically as a finite state automaton and its implementation is essentially the execution of its state transition function. The paper assumes familiarity with Prolog and the basic concepts of multi-agent systems. [ABSTRACT FROM AUTHOR]

This paper is a tutorial describing the main features of the KGP (Knowledge-Goals-Plan) model of agency and giving user guidance on how the model can be used to develop applications. The KGP model is based on computational logic. It consists of an abstract component, a computational component and an implementation. This paper concentrates on the abstract component, which consists of formal specifications of a number of different modules, including the knowledge bases, capabilities, transitions and control. For each of these we summarise what is provided by the model, and through the platform implementing the model, and what is left to the users to specify according to the requirements of the applications for which they wish to use the KGP model to design agents. [ABSTRACT FROM AUTHOR]

Dirty paper coding are relevant for wireless networks, multiuser channels, and digital watermarking. We show that the problem of dirty paper is essentially equivalent to some classes of constrained memories, and we explore the binary so-called nested codes, which are used for efficient coding and error-correction on such channels and memories. Keywords: dirty paper, constrained memory, nested codes, covering codes. [ABSTRACT FROM AUTHOR]

Many design activities depend on communicative activities around collaboratively produced prototypes. A common communication practice in producing text documents is to add annotation in the form of comments. Previous research indicates that electronic paper-prototyping can be used to rapidly create simple prototypes of interactive systems, such as websites. Little is known, however, about how to provide and maintain variety of communication channels around such electronic paper-prototypes to enable end-users and other stakeholders to contribute to design dialogues. This paper presents Gabbeh, an electronic paper-prototyping tool, and reports on an evaluation using the tool in a simulated design exercise. [ABSTRACT FROM AUTHOR]

This article describes certain uses of Binomial Probability Paper. This graph paper was designed to facilitate the employment of R.A. Fisher's inverse sine transformation for proportions. The transformation itself is designed to adjust binomially distributed data so that the variance will not depend on the true value of the proportion p, but only on the sample size n. In addition, binomial data so transformed more closely approximate normality than the raw data. The usefulness of plotting binomial data in rectangular coordinates, using a square-root scale for the number observed in each category, was first pointed out by Fisher and Mather [10]. The graph paper under discussion is specially ruled to make this mode of plotting both simple and rapid. A graduated quadrant makes the angular transformation (p = cos2φ or p = sin2 φ) easily available at the same time. Most tests of counted data can be made quickly, easily and with what is usually adequate accuracy with this paper. Some 22 examples are given. [ABSTRACT FROM AUTHOR]

This article aims at presenting a methodological approach for classifying educational conference papers by employing a Bayesian Network (BN). A total of 400 conference papers were collected and categorized into 4 major topics (Intelligent Tutoring System, Cognition, e-Learning, and Teacher Education). In this study, we have implemented a 80-20 split of collected papers. 80% of the papers were meant for keywords extraction and BN parameter learning whereas the other 20% were aimed for predictive accuracy performance. A feature selection algorithm was applied to automatically extract keywords for each topic. The extracted keywords were then used for constructing BN. The prior probabilities were subsequently learned using the Expectation Maximization (EM) algorithm. The network has gone through a series of validation by human experts and experimental evaluation to analyze its predictive accuracy. The result has demonstrated that the proposed BN has outperformed Naïve Bayesian Classifier, and BN learned from the training data. [ABSTRACT FROM AUTHOR]

This paper investigates an aggressive back off strategy as part of the congestion management algorithms developed for Direct Broadcast Satellites with Return Channel Systems (DBS-RCS). The satellite architecture considered in this work is based on an asymmetric architecture with the high capacity forward link provided by the DBS and low speed return channel is provided by a constellation of Low Earth Orbiting (LEO) satellites. The network carries both Moving Pictures Expert Group (MPEG) coded video traffic and other data traf-fic having available bit rates (ABR) which is based on Reliable DBS Multicast Protocol (RDMP). Due to overwhelming complexity of real DBS-RCS systems, unless unduly simplifications are made, an exact analysis of this system be-comes impossible. Therefore, we rely on the testbed results for investigation of the proposed aggressive back off strategy. In this paper, we first present a brief background on adaptive resource allocation and management (ARAM) system developed in our earlier work [1]. Then, we provide the proof of concept ex-periments for the newly introduced aggressive back off strategy. We show that the distributed control provided by the watermarks provides performance com-parable to the baseline ARAM model. We also show that an aggressive back off strategy should be used for increased QoS. [ABSTRACT FROM AUTHOR]

Researchers from the same lab often spend a considerable amount of time searching for published articles relevant to their current project. Despite having similar interests, they conduct independent, time consuming searches. While they may share the results afterwards, they are unable to leverage previous search results during the search process. We propose a research paper recommender system that avoids such time consuming searches by augmenting existing search engines with recommendations based on previous searches performed by others in the lab. Most existing recommender systems were developed for commercial domains with millions of users. The research paper domain has relatively few users compared to the large number of online research papers. The two major challenges with this type of data are the large number of dimensions and the sparseness of the data. The novel contribution of the paper is a scalable subspace clustering algorithm (SCuBASCuBA: Subspace Clustering Based Analysis.) that tackles these problems. Both synthetic and benchmark datasets are used to evaluate the clustering algorithm and to demonstrate that it performs better than the traditional collaborative filtering approaches when recommending research papers. [ABSTRACT FROM AUTHOR]

Office workers tend to produce paper piles of documents to read or to process sometime later. The information contained in these piles is often lost if it is not transferred to electronic format and connected to knowledge structures. Information that is not part of the knowledge worker's electronic information space is frequently overlooked because it is not proactively provided during actual processes or tasks he is involved in. This paper presents a novel prototype for an intelligent office appliance, which results from an integration of three state-of-the-art office applications/appliances: a workflow system, a document classification system, and a multi-functional peripheral. The resulting system allows for leveraging an office worker's papers to her personal knowledge space in order to realize a pro-active and context-sensitive information support within knowledge-intensive tasks and processes. [ABSTRACT FROM AUTHOR]

To facilitate the transition from paper-based patient record (PPR) to computer-based patient record (CPR), engineers should try to improve the usability of CPR system. From the point of view of a physician, we reviewed PPRs written by 8 Japanese physicians. We revealed the characteristics of PPR to find out about the barrier to transition from PPR to CPR. Our findings may be helpful to the engineers who are aiming to develop a CPR system. [ABSTRACT FROM AUTHOR]

In this paper we describe the design of a hybrid search that combines simple metadata search with a traditional keyword search over unstructured context data. This paradigm provides the inquirer additional options to narrow the search with some semantic aspects through the XML metadata query. We demonstrate a paper search for a case study of the hybrid search, and describe a data integration hub to integrate those data dispersed on the Net. [ABSTRACT FROM AUTHOR]

Wet paper codes were proposed as a tool for constructing steganographic schemes with an arbitrary selection channel that is not shared between the sender and the recipient. In this paper, we describe new approaches to wet paper codes that enjoy low computational complexity and improved embedding efficiency (number of message bits per embedding change). Some applications of wet paper codes to steganography and data embedding in binary images are discussed. [ABSTRACT FROM AUTHOR]

This chapter is focused on the problem caused by the effluent discharges from paper and pulp mills. At present, three aspects should be considered in paper and pulp wastewater management: (1) the toxicity and high BOD5 of whitewaters and effluents; (2) the lack of knowledge on specific compounds responsible for the toxicity of the liquid and solid residue (sludge) and (3) the difficulty of treating whitewaters, which are characterized by the presence of suspended solids, colour odour, a high organic content, and an overall high toxicity. This chapter attempts to give an overview of organic compounds that contribute to the toxicity of paper mill waters and effluents, their levels, toxicological characterization and the methodologies used for their analysis. Families of compounds that are included are natural compounds such as resin and fatty acids, lignins, lignans and carbohydrates, and additives used during paper making such as surfactants, biocides and slimicides. In addition, part of the chapter is devoted to describing the wastewater treatment strategies used to decrease the toxicity and BOD5 of the effluents, which are used to indirectly phase out toxic organic pollutants from paper and pulp whitewaters (Table 1). [ABSTRACT FROM AUTHOR]

Multiple business factors have emerged to accelerate the necessity of event-driven functionality and make it part of the main-stream computing, instead of a niche technology. Consequently, there is now focus on using high-level software constructs to build these applications. This paper presents a vision for such high-level features and architecture. This paper explains why "event-driven applications" becomes an emerging area, explains the basic terminology of EDA, explains the relationship to business rules, and sets some directions for the future of this discipline. [ABSTRACT FROM AUTHOR]

The Lost Cosmonaut is an interactive narrative based on digitally enhanced paper. This technology uses an electronic pen to mediate between paper and computer. Thus any actions of the pen on the paper can be captured and manipulated by a computer as well as we can map digitally controlled events onto paper. The story in this narrative environment reveals itself partially through written text and images on the paper surface just as any other printed story. However, additional information in form of digitally controlled outputs such as sound, light and projections can be accessed through interaction with pen and paper. Furthermore the audience is not only supposed to read and otherwise perceive information, we also want them to actively produce content for this environment by writing onto the paper. By doing so they also add content to the database containing the digital output at the same time. Hence we produce a complex multimedia environment that works on three levels: On paper, in a digitally controlled visual and acoustic environment and in the combination of both worlds. Last but not least this environment is an open system, which grows as a collaborative effort over time as each user adds his own entries to paper and database. We argue that using paper as an integrated part of a digital environment is a best-of-both-world approach that opens up new possibilities for producing and perceiving narrative. [ABSTRACT FROM AUTHOR]

Production of lactic acid from paper sludge has been performed by simultaneous saccharification and fermentation (SSF). The SSF process design was based on experimental data obtained from cellulose hydrolysis and fermentation. The SSF process was employed to avoid an excessively dense solution when the sludge content of the feed was higher than 15%; this is one of several benefits of SSF. The enzyme system used for hydrolysis of paper sludge for production of glucose was optimized. CMCase and α-glucosidase with activities of 2.5 and 10 U mL-1, respectively, were found to be optimum for hydrolyzing 5% sludge. In batch SSF 16 g L-1 lactic acid was produced from 5% paper sludge with an yield of 80%. Paper sludge which served as a feed seemed to have a buffering effect during SSF, probably because of the inorganic ash component in the sludge. The final product concentration by SSF was observed to be limited by the cellulose content of the system, which can probably be resolved by intermittent feeding of the paper sludge. SSF of paper sludge fed in batch mode, with intermittent feeding, produced lactic acid at 162 g L-1, with a yield of 74% and a productivity of 1.4 g L-1 h-1. The lactic acid production performance of the modified bioreactor improved after removal of indigestible solid materials from the upper compartment, which enabled the feed of paper sludge to be increased. A mathematical model is described which predicts glucose and subsequent lactic acid production on the basis of the rate expressions of each step of the SSF process. Saccharification kinetics were determined by experiments on enzymatic cellulose hydrolysis, by use of a Michaelis-Menten equation; growth kinetics of L. rhamnosus were determined by use of a Monod expression which incorporated lactic acid inhibition. The kinetic model is expected to predict the performance of the SSF process. For further use of the lactic acid, i.e. polylactic acid, it must be recovered and purified. Results from application of the simulated moving-bed (SMB) process for separation of lactic acid and acetic acid are given, as are several methods of lactic acid purification. [ABSTRACT FROM AUTHOR]

We examine the properties and use of paper in everyday settings and discuss the motivation for retaining paper as an information medium. In particular, we consider the use of paper maps and guidebooks by tourists during city visits as an example of a mobile and collaborative environment. We then go on to present recent developments in technologies for digital paper and how they can be used to seamlessly integrate digital and printed information. [ABSTRACT FROM AUTHOR]

The usability of research papers on the Web would be enhanced by a system that explicitly modelled the rhetorical relations between claims in related papers. We describe ClaiMaker, a system for modelling readers΄ interpretations of the core content of papers. ClaiMaker provides tools to build a Semantic Web representation of the claims in research papers using an ontology of relations. We demonstrate how the system can be used to make inter-document queries. [ABSTRACT FROM AUTHOR]

Mobile phone camera-based document video scanning is an interesting research problem which has entered into a new era with the emergence of widely used, processing capable and motion sensors equipped smartphones. We present our ongoing research on mobile phone camera-based document image mosaic reconstruction method for video scanning of paper documents. In this work, we have optimized the classic keypoint feature descriptor-based image registration method, by employing the accelerometer and gyroscope sensor data. Experimental results are evaluated using optical character recognition (OCR) on the reconstructed mosaic from mobile phone camera-based video scanning of paper documents. [ABSTRACT FROM AUTHOR]

We have been asked to provide general comments on our colleague's paper entitled, ‘How to win a WTO dispute based on non- WTO Law'. [ABSTRACT FROM AUTHOR]