Miracle-dz/UniFAR-FTUs huggingface dataset:
Challenges of Tracking Topical Discussion Networks Online

Attempts to map online networks, representing relationships between people and sites, have covered sites including Facebook, Twitter, and blogs. However, the predominant approach of static network visualization, treating months of data as a single case rather than depicting changes over time or between topics, remains a flawed process. As different events and themes provoke varying interactions and conversations, it is proposed that case-by-case analysis would aid studies of online social networks by further examining the dynamics of links and information flows. This study uses hyperlink analysis of a population of French political blogs to compare connections between sites from January to August 2009. Themes discussed in this period were identified for subsequent analysis of topic-oriented networks. By comparing static blogrolls with topical citations within posts, this research addresses challenges and methods in mapping online networks, providing new information on temporal aspects of linking behaviors and information flows within these systems.
Performance evaluation of face recognition using feature feedback over a number of Fisherfaces

In this paper, we present a performance evaluation of face recognition using feature feedback over the number of Fisherfaces and propose a guideline to determine an appropriate number of Fisherfaces. Feature‐feedback‐based pattern recognition has been proposed to distinguish the important part from the whole dataset. The selected data by feature feedback is applied to extract features for classification and consequently enhance the performance of the classification. However, some parameters should be adjusted when using the feature feedback for pattern recognition depending on the applications. The number of Fisherfaces is one of the most important parameters that affect the recognition rates. In this paper, we propose a method to determine the number of Fisherfaces when using feature feedback for face recognition. Experimental results show that the proposed method is useful in the effective application of feature feedback for the improvement of the recognition performance. © 2013 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
Very‐high‐quality image compression based on noise modeling

We present a new image compression method for very‐high‐quality lossy compression. This method caters for image data in regimes of (a) detector imperfections, which motivates a robust approach based on the median transform; and (b) noise, which is explicitly sought and separated out, since noise is inherently noncompressible. An in‐depth assessment is carried out on real data, relative to the standard JPEG compression method. Comparable visual quality is based on 260:1 compression with the new method, and 40:1 compression with JPEG. The assessment procedure, based on the astronomical images used, is an objective approach for determining very‐high‐quality visual reconstructions. © 1998 John Wiley & Sons, Inc. Int J Imaging Syst Technol, 9, 38–45, 1998
The other C in CMC: What alternative data sources can tell us about text-based synchronous computer mediated communication and language learning

Most research on text-based synchronous computer-mediated communication (SCMC) in language learning has used output logs as the sole data source. I review interactionist and sociocultural SCMC research, focusing in particular on the question of technological determinism, and conclude that, from whichever perspective, reliance on output logs leads to an impoverished picture of the experience of SCMC users and of phenomena relevant to learning. The assumption that output logs are an adequate data source fails to give due weight to the specificities of this form of communication, in particular the constraints and affordances of the computer interface. I examine the potential contribution of other data sources, providing by way of illustration an analysis of sample eye-tracker data from a tandem SCMC session.
Genetic Algorithm Applied in the Social Network Data Analysis

The rapid development of network and information technology makes the network become the indispensable part in people's life. Network design uses email as a starting point, instead of actual letters. Then Happy Nets, BBS etc. are evolved from it, with virtual as their major feature. In the process of social networks evolution, the personal image transformed from the actual into the virtual one. All this has contributed to the birth of the social network, which then makes the contacts among people presenting the feature of network expansion and cost reduction. The popular social network nowadays is considered to be social plus network, namely, through the network, as a carrier, people are connected to form a virtual community with certain characteristics. Based on the genetic algorithm and genetic coding technology, the article is designed to make the optimal data analysis and create a optimistic cyber environment in the process of the social networks explosive development.
Planning Health Promotion Programs: An Intervention Mapping Approach

List of Figures and Tables. Preface. Acknowledgments. The Authors. PART ONE: FOUNDATIONS. 1. Overview of Intervention Mapping. 2. Core Processes: Using Evidence, Theory, and New Research. 3. Behavior-Oriented Theories Used in Health Promotion. 4. Environment-Oriented Theories. PART TWO: INTERVENTION MAPPING STEPS. 5. Intervention Mapping Step 1: Needs Assessment. 6. Intervention Mapping Step 2: Preparing Matrices of Change Objectives. 7. Intervention Mapping Step 3: Selecting Theory-Informed Intervention Methods and Practical Strategies. 8. Intervention Mapping Step 4: Producing Program Components and Materials. 9. Intervention Mapping Step 5: Planning Program Adoption, Implementation, and Sustainability. 10. Intervention Mapping Step 6: Planning for Evaluation. PART THREE: CASE STUDIES. 11. A School HIV-Prevention Program in the Netherlands (Herman Schaalma and Gerjo Kok). 12. Asthma Management for Inner-City Children (Christine Markham, Shellie Tyrrell, Ross Shegog, Maria Fernandez, and L. Kay Bartholomew). 13. Theory and Context in Project PANDA: A Program to Help Postpartum Women Stay Off Cigarettes (Patricia Dolan Mullen, Carlo C. DiClemente, and L. Kay Bartholomew). 14. Cultivando la Salud (Maria Fernandez, Alicia Gonzales, Guillermo Tortolero-Luna, Sylvia Partida, and L. Kay Bartholomew). References. Name Index. Subject Index.
‘They’ in Australian English: Non-Gender-Specific or Specifically Non-Gendered?

‘They’ is a candidate for a generic, non-sexist third person singular pronoun, and is used by many speakers of Australian English. An analysis of first year university essays shows that ‘they’ is used not only as a generic pronoun, but also in other cases when the gender of the referent is simply not relevant at that point. This includes cases where the speaker is very clear about the referent's gender, including instances where the gender of the referent has already been revealed.
A reservation limited sensing protocol in wireless networks

Random access algorithms are suitable for large numbers of users generating light, bursty, single packet traffic. However, when users generate packet "sequences" with high probability, reservation mechanisms may be employed to increase channel throughput. Hybrid access schemes containing both contention and reservation components have been previously introduced and analyzed. In this paper, we introduce hybrid schemes based on a limited-sensing random access algorithm and investigate their throughput under the heavy traffic assumption. Two protocols are implemented, differing by whether or not the number of packets per message is fixed or variable. Their performance is examined in a multicell setting, in the presence of feedback errors which arise from intercell interference when the cells' coverage areas partially overlap.
The impacts of cognitive learning styles on the use of online learning and collaborative writing environments

Most universities today enhance their classroom teaching and learning with online learning systems. However, a mismatch between learning styles and instructional methods can create conflicts that affect cognition, affect, and behaviour during the learning process. In this study, the authors examine the use of online learning systems. The results identify significant differences between cognitive learning styles and login (F = 32.25, p < 0.001)/download (F = 23.59, p < 0.001) patterns, browsing (F = 5.069, p < 0.05) / edits (F = 4.987, p < 0.05) patterns though no significant differences were found in forum usage.
Speech-driven graphics: a user interface

Abstract This paper discusses an ongoing research project concerned with exploring the potential of speech recognition equipment to enable hands-free drawing on the visual display unit of a Macintosh computer system. The paper concentrates on some of the more intractable problems, such as how to control the location and movement of the drawing cursor with any degree of precision, and how to communicate with the recognition software in a way which minimizes perceived ambiguities in the intentions of the user. In particular, consideration of the manner in which graphics commands are verbalized is an essential prerequisite for the successful design of an intuitive use of the system and this is an area on which much of the research effort was concentrated. It is already apparent that it will be very difficult to resolve satisfactorily certain aspects of speech-controlled drawing with the current generation of speech recognizers.
The Frazier-Jawerth transform

The Frazier-Jawerth transform (FJT), a simple yet rigorous method for the time-frequency analysis of nonstationary signals, is discussed. The FJT is related to the wavelet transform. Both the FJT and the wavelet methods improve upon the classical methods of time-frequency analysis due to Wigner and Gabor. A tutorial introduction to the FJT is given, and a brief discussion is presented of an example and some applications. <<ETX>>
Impact of MPEG standards on multimedia industry

This paper gives a brief account of the four Moving Picture Experts Group (MPEG) standards. It includes a summary description of their functionalities and usage. For MPEG-1 and MPEG-2, this paper describes how they are being used to convert old analog applications into digital ones and how new applications are being created. For MPEG-4, the major application areas are recalled. For MPEG-7, the strategic rate for the development of multimedia industry is highlighted.
Dual polarized L-band microstrip patch array for the AIRSAR/TOPSAR system

Describes the design and initial results of an advanced dual polarized 8x2 element microstrip patch array for the new NASA/JPL dual frequency C- and L-band interferometric SAR. The new dual polarized L-band antenna for the AIRSAR/TOPSAR system consists of aperture-coupled microstrip patch elements on a foam substrate, yielding a high polarization purity, low losses, a good port-to-port isolation and a large bandwidth.
Crystal structure of guaifenesin, 3-(2-methoxyphenoxy)-1,2-propanediol

The crystal structure of the common expectorant guaifenesin, 3-(2-methoxyphenoxy)-1, 2-propanediol (C10H14O4) was solved by applying Monte Carlo simulated annealing techniques to synchrotron powder data, and refined using the Rietveld method. Initial structure solutions yielded an unreasonable conformation, and an unacceptable refinement. Quantum chemical geometry optimizations were used to identify the correct conformation. Guaifenesin crystallizes in the orthorhombic space group P212121 (#19), with a=7.657 05(7), b=25.670 20(24), c=4.979 66(4) Å, V=978.79(2) Å3, and Z=4. Both hydroxyl groups act as hydrogen bond donors and acceptors, resulting in the formation of a two-dimensional network of strong hydrogen bonds in the ac plane. The solid state conformation is ∼4 kcal/mol higher in energy than the minimum-energy conformation of an isolated molecule, but the formation of the hydrogen bonds results in an energy gain of ∼100 kcal/mol. Knowledge of the crystal structure permits quantitative phase analysis of guaifenesin-containing pharmaceuticals (such as Duratuss GP 120-1200) by the Rietveld method.
In the Eye of the Beholder

Summary As with beauty and other concepts, librarians have been viewed in many subjective ways. On the other hand, some attempts have also been made to obtain more objective views of librarians. This paper provides a summary of these views, or images, that extend back to the early 18th century. It presents the many traits that comprise these images, the sources or origins of the images, the various groups that hold the images, and ends with a reason why current images are indefinite and “blurry. ”
Network Simulation Cradle

Network simulators commonly use abstractions of network protocol implementations. Results from simulations using these abstractions are not as convincing as they would be if real world network code were used. This report describes the creation of the Network Simulation Cradle that is used to allow a real network stack to work with a network simulator. The process of moving the FreeBSD 5 network stack from kernel specific code into a user space simulation library is discussed, as is the integration within the network simulator NS-2. Also a preliminary analysis of differences between simulations using NS-2’s and FreeBSD’s TCP/IP implementation is presented along with preliminary testing of the performance of a cradle incorporating real world code.
Sensor fusion by principal and independent component decomposition using neural networks

The paper describes a view to use both principal component analysis (PCA) and independent component analysis (ICA) within the context of sensor fusion. A nonlinear version of PCA would be appropriate for representing signals/data which span a submanifold structure in its coordinate space. The nonlinear PCA is a candidate for data reduction/compression where multisensors are measurement the same type of signal, e.g., image or sound. In contrast the ICA is a candidate for fusing different types of signals, e.g., image, sound, acceleration, etc., to generate independent components. The PCA approach can be used to transfer compressed data then reconstruct the information bearing signal for use. While the ICA may be used to infer the condition/state of the environment, e.g., office building, airport, etc. Thus the two approaches can be integrated to form a complementary sensory fusion system.
IEICE Proceeding Series Approximated Probabilistic Inference on a Dynamic Bayesian Network Using a Multistate Neural Network

— Dynamic Bayesian networks (DBNs) are ﬂexible tools for modeling complex relationship among time-evolving random variables. An application of DBNs to computational neuroscience is to represent the internal model, which the brain uses to simulate the environment, as a DBN. The exact inference on the DBN deﬁnes the optimal behavior for both sensory and motor signal processing. However, since the exact inference requires huge computational resources, approximation methods are the key to utilize the DBN representation. Here, I propose a new heuristic algorithm for probabilistic inference on the DBN using a multistate neural network. Each random variable of the DBN is replaced by a multistate neuron, and the directional links of the DBN are translated into the nonlinear interactions among the multistate neurons. To approximate backward dependencies among variables in the DBN, the network supports a bottom-up error-reporting mechanism against top-down predictions. The proposed method is tested on a simple partially observable Markov decision process task, and exhibits better performance than ancestral sampling method.
Evaluating Strategies Used To Incorporate Technology Into Preservice Education

Abstract The following paper is based on a review of 68 refereed journal articles that focused on introducing technology to preservice teachers. Ten key strategies emerged from this review, including delivering a single technology course; offering mini-workshops; integrating technology in all courses; modeling how to use technology; using multimedia; collaboration among preservice teachers, mentor teachers and faculty; practicing technology in the field; focusing on education faculty; focusing on mentor teachers; and improving access to software, hardware, and/or support. These strategies were evaluated based on their effect on computer attitude, ability, and use. The following patterns emerged: First, most studies looked at programs that incorporated only one to three strategies. Second, when four or more strategies were used, the effect on preservice teacher’s use of computers appeared to be more pervasive. Third, most research examined attitudes, ability, or use, but rarely all three. Fourth, and perhaps most important, the vast majority of studies had severe limitations in method: poor data collection instruments, vague sample and program descriptions, small samples, an absence of statistical analysis, or weak anecdotal descriptions of success. It is concluded that more rigorous and comprehensive research is needed to fully understand and evaluate the effect of key technology strategies in preservice teacher education.
Exploring Uses of IText in Campus-Community Partnerships

Many colleges and universities have begun to create structures that foster sustainable partnerships with neighboring communities. As part of such efforts, these institutions often use IText—written texts mediated by information technologies such as the World Wide Web, e-mail, databases, and online bulletin board systems. Using content analysis and interviews, the author explores the ways that IText is used in campus-community partnerships. The author concludes that at this early point in partnership efforts, the best uses for IText are to build trust and share information, even though such uses raise questions about the egalitarian potential of partnership efforts.
A XSS Defensive Scheme Based on Behavior Certification

The Scripting languages (mostly JavaScript) applications in the network are heavily used to improve the user experience now. The trends make XSS (Cross-site Scripting Attacks) the most serious security problems in the current Internet. A XSS defensive scheme based on behavior certification is proposed in the paper. The website behavior model is generated based on the website logic and the user behavior. The browsing behavior certification is implemented based on the expected behavior of the resulting model, so as to offer security for the client even in the case that web server has suffered XSS attacks.
Proactive information service through user participation in context-aware application

User participation is an essential aspect of Web 2.0. Web 2.0 creates a context-aware interactive environment that supports the participation of users to enhance information service. Tagging is a key participation method by which users can enrich information in Web 2.0. The authors present a proactive information service through user participation in context-aware application. The proposed method uses participation information acquired in user's contexts. Using user participation from contexts, the method provides useful information in a timely manner. The information service considers contexts as the tag and provides information that may be useful without requiring any action on the part of the user.
Object Tracking Based Calibration of Poses of Distributed Laser Range Finders for Intelligent Space

: This paper presents an automated calibration method for laser range ﬁnders distributed in the environment. The laser range ﬁnder has recently been considered to be one of the most useful sensors for applications for Intelligent Space (iSpace) which is a space with many distributed sensors and actuators since it can realize both object tracking and map building. In this research, the object tracking function is used for pose estimation of the sensors. In the proposed method, each sensor ﬁrst obtains positions of moving objects in the environment in its local coordinate system. If these sensors have overlapping observation regions, position of the same object is acquired as a corresponding point. The relative position and orientation of two laser range ﬁnders are then estimated from the set of corresponding points. Finally, poses of the laser range ﬁnders with regard to an arbitrary coordinate system are calculated based on the relative pose estimations. The proposed method does not require global positions of objects and information on the objects. In addition, multiple objects can be utilized in order to calibrate laser range ﬁnders distributed in a wide area e ﬃ ciently.
An Efficient FPGA Hardware Implementation of the Threefish Tweakable Block Cipher

Abstract Computer security has a significant importance in today's world. Encryption and decryption of sensitive and important data are required for everyday tasks including electronic, data communications, and internet transactions. A large number of encryption and decryption algorithms have been developed in literature to fulfil the job. Many of these algorithms have been standardized. This paper examines the ThreeFish tweakable block cipher and provides an efficient field programmable gate array hardware implementation of the ThreeFish-256, ThreeFish-512, and ThreeFish-1024 encryption and decryption algorithms. Experimental results are provided and comparisons with the state of the art implementations are made. Experimental results illustrate the efficiency of the proposed implementation.
Mine detection experiments using hyperspectral sensors

Hyperspectral imaging is an important technology for the detection of surface and buried land mines from an airborne platform. For this reason, hyperspectral was included with SAR sensors in the two deployments that were executed by the CECOM RDEC Night Vision and Electronic Systems Directorate (NVESD) in Fall 2002 and in Spring 2003. The purpose of these deployments was to bring together a wide variety of airborne sensors for the detection of mines, with well ground-truthed targets. The hyperspectral sensors included the Airborne Hyperspectral Imager (AHI), a University of Hawaii LWIR HSI sensor and the Compact Airborne Spectral Sensor (COMPASS), an NVESD VNIR/SWIR sensor. Both a high frequency SAR and a ground penetrating radar were also flown. These experiments were carried out at sites where an extensive array of buried and surface mines were deployed. At the first location, on the east coast, the mines were deployed against several different backgrounds ranging from bare dirt to long grass. At the second location in the desert southwest, the mines were placed on backgrounds ranging from loose sand to mixed sand and vegetation. The COMPASS and AHI sensors were both placed on the Twin Otter aircraft, and data was collected with the airplane as low as 700 ft and as high as 4000 ft. In this paper, the data collected on surface mines will be reviewed, and specific examples from each background type presented. Spectral detection algorithms will be applied to the data and the results of the algorithm processing will be presented.
Semantic consumption of photos on mobile devices

In this paper, we propose a new promising photo album application format, which enables augmented use of digital home photos over a wide range of mobile devices and semantic photo consumption as minimizing user's manual tasks. The photo album application format packages photo collection and associated metadata based on MPEG-4 file format. The schema of the album metadata is designed in two levels: collection- and item-level descriptions. The collection-level description is metadata related to group of photos, each of which has item-level description that contains its detailed information. To demonstrate the use of the proposed album format on mobile devices, a photo album system was also developed, which could realize semantic photo consumption in sense of situation, category, and person.