ppxscal/embedding_network huggingface dataset:
The effect of task characteristics on conceptual conflict and information processing in online discussion
Authors: Robert L. Jorczak, William Bart
Venue: Computers in Human Behavior (2009)

A key guidance factor of computer-supported collaborative learning (CSCL) is the specification of a discussion task. Aspects of the discussion task may affect the quality of group discussion for higher-order learning. This experiment investigated the effects of two aspects of discussion task on asynchronous text discussion of an online higher-education course. Groups completed discussion assignments that varied in degree of task context and outcome specification. Content analysis was used to assess conceptual conflict and level of information processing indicated in the online discussions. Results indicate that conceptual conflict is associated with higher-order discussion, but differences in task context and product do not have large effects on the quantity or quality of online discussion.
Direct fabrication of carbon nanotubes STM tips by liquid catalyst-assisted microwave plasma-enhanced chemical vapor deposition
Authors: Fa-Kuei Tung, Masamichi Yoshimura, Kazuyuki Ueda
Venue: Journal of Nanomaterials (2009)

Direct and facile method to make carbon nanotube (CNT) tips for scanning tunneling microscopy (STM) is presented. Cobalt (Co) particles, as catalysts, are electrochemically deposited on the apex of tungsten (W) STM tip for CNT growth. It is found that the quantity of Co particles is well controlled by applied DC voltage, concentration of catalyst solution, and deposition time. Using optimum growth condition, CNTs are successfully synthesized on the tip apex by catalyst-assisted microwave-enhanced chemical vapor deposition (CA-MPECVD). A HOPG surface is clearly observed at an atomic scale using the present CNT-STM tip.
Digital Information Literacy: Explorations of History Tasks in Singapore Schools
Authors: Sunita Shankar, John G. Hedberg
Venue: Proceeding of the 2005 conference on Towards Sustainable and Scalable Educational Innovations Informed by the Learning Sciences: Sharing Good Practices of Research, Experimentation and Innovation (2005)

Pedagogy of the 21st century is focusing on visible thinking of the students. Educators today are creating learning environments and processes where students' learning is self regulated, active, collaborative and self-directed. The visibility of students' cognition is important for effective mediation and facilitation by the teacher whose role is more of a coach. With the emergence of the internet, new possibilities for learning and teaching have evolved (Tan, 2004). The internet provides access to a plethora of information which is multi faceted and multimodal. Digital Information Literacy promotes 'self-regulated', self-directed' and 'exploratory' learning. It also focuses on information problem solving strategies, the research process and the related skills that make up these information-seeking processes. The Digital curricular Literacies project (DCL) focuses on the key initiatives of the Singapore Ministry of Education (MOE) on the use of ICTs (Information and Communication Technologies) in school learning. This paper is based on the data from one section of the larger study, which looked at some of the students' online usage skills when working on history and science tasks. Secondary 1 students from 6 Singapore local schools participated in this project. 13 pairs of students worked on the digital experiment. Each computer was equipped with the screen capturing software Snapzpro that produced a real time video of the students working on the task. Audio recorders were used to capture the discussion between the pairs of students as they worked to complete the task. This paper is a case study of 7 pairs of students working on history tasks. Kuhlthau's (1993), Pitts/Stripling's (1988) and Eisenberg/Berkowitz's (1996) models of information literacy are compared. The data of this case study was analyzed qualitatively using the framework of Eisenberg/Berkowitz's Big6 model. It was found that the students were making conscious choices on selection of websites. They spent most of their time thoughtfully searching and scanning for relevant information on the topic in a broad sense. In most cases they used phrases from the task. They did not spend time to evaluate the sources they had selected for authority, the credentials of the author and the accuracy of the information. The students' artifacts produced did show evidence of multi-modality with a combination of images and text and the resulting artifacts were good examples of exploratory, self-regulatory and collaborative learning.
Software Energy Optimization of Real Time Preemptive Tasks by Minimizing Cache-Related Preemption Costs
Authors: Rakesh Kumar, Tusar Kanti Patra, Anupam Basu
Venue: Proceedings of the 4th International Symposium on High Performance Computing (2009)

An attempt has been made to optimize the software energy of real time preemptive tasks by minimizing the cache related preemption costs which are primarily incurred due to the inter-task interference in the cache. We have presented an algorithm that outputs an "optimum" task layout which reduces the overall inter-task interference in cache and thus reduces the preemption costs of each task of a given task set. We have compared the result of our estimated layout with that of the random layout generated for benchmark examples for demonstrating the performance of our algorithm.
ASOP: An Agile Service-Oriented Process
Authors: Asif Qumer, Brian Henderson-Sellers
Venue: Proceeding of the 2007 conference on New Trends in Software Methodologies, Tools and Techniques: Proceedings of the sixth SoMeT_07 (2007)

The increasing prevalence of service-oriented architecture (SOA) has introduced another layer of abstraction (service-oriented) on top of already well-known object-oriented and component-oriented layers of abstractions. However, it has been found that the current traditional phase-based approach towards the development of SOA-based applications, contrarily, lacks agility, which mitigates against the needed ability to quickly respond to changes in business processes. Therefore, here, we suggest an agile approach to implement a flexible SOA. This paper, based on our industrial experience and case studies, presents the agile service-oriented process (ASOP) that had been constructed by using the agile software solution framework (ASSF), agile toolkit (ATK), situational method engineering (SME) and agile adoption and improvement model (AAIM) for the development of one of our industry (case study) service-oriented e-health project.
An enhanced fuzzy linear regression model with more flexible spreads
Authors: Jingli Lu, Ruili Wang
Venue: Fuzzy Sets and Systems (2009)

One of the deficiencies of previous fuzzy linear regression models is that with the increase of the magnitudes of independent variables, the spreads of estimated fuzzy dependent variables are increasing, even though the spreads of observed dependent variables actually decrease or remain unchanged. Some solutions have been proposed to solve this spreads increasing problem. However, those solutions still cannot model a decreasing trend in the spreads of the observed dependent variables as the magnitudes of the independent variables increase. In this paper we propose an enhanced fuzzy linear regression model (model FLR"F"S), in which the spreads of the estimated dependent variables are able to fit the spreads of the observed dependent variables, no matter the spreads of the observed dependent variables are increased, decreased or unchanged as the magnitudes and spreads of the independent variables change. Four numerical examples are used to demonstrate the effectiveness of model FLR"F"S.
A theory of granular parthood based on qualitative cardinality and size measures
Authors: Thomas Bittner, Maureen Donnelly
Venue: Proceeding of the 2006 conference on Formal Ontology in Information Systems: Proceedings of the Fourth International Conference (FOIS 2006) (2006)

We present a theory of granular parthood based on qualitative cardinality and size measures. Using standard mereological relations and qualitative, context-dependent relations such as roughly the same size, we define a granular parthood relation and distinguish different ways in which a collection of smaller objects may sum to a larger object. At one extreme, an object x may be a mereological sum of a large collection p where the members of p are all negligible in size with respect to x (e.g., x is a human body and p is the collection of its molecules). At the other extreme, x may be a mereological sum of a collection q none of whose members are negligible in size with respect to x (e.g., x is again a human body and p is the collection consisting of its head, neck, torso, and limbs). We cannot give precise quantitative definitions for relations such as roughly the same size or negligible in size with respect to since these are, even within a fixed context, vague relations. The primary focus in the formal theory presented in this paper is on the context-independent logical properties of these qualitative cardinality and size relations and their interaction with mereological relations. In developing our formal theory, we draw upon work on order of magnitude reasoning.
High-resolution magnetic force microscopy using carbon nanotube probes fabricated directly by microwave plasma-enhanced chemical vapor deposition
Authors: Kei Tanaka, Masamichi Yoshimura, Kazuyuki Ueda
Venue: Journal of Nanomaterials (2009)

Carbon nanotubes (CNTs) have been successfully grown on the tip apex of an atomic force microscopy (AFM) cantilever by microwave plasma-enhanced chemical vapor deposition (MPECVD). Both scanning electron microscopy (SEM) and transmission electron microscopy (TEM) observations reveal that the diameter of the CNTs is ∼ 30nm and the magnetic particles with diameter of ∼ 20 nm, which was used as catalyst for the CNT growth, exist on the top. This CNT probe has been applied to magnetic force microscopy (MFM) on the ultrahigh-density magnetic recording media with 1200 kilo flux change per inch (kfci).
Super State Analysis for UML State Diagrams
Authors: Mohammad N. Alanazi, David A. Gustafson
Venue: Proceedings of the 2009 WRI World Congress on Computer Science and Information Engineering - Volume 07 (2009)

In this paper, we present Super State Analysis (SSA) for analyzing multiple UML state and sequence diagrams to detect inconsistencies. The SSA model uses a transition set that captures relationship information that is not specifiable in UML diagrams. The SSA model uses the transition set to link transitions of multiple state diagrams together. The analysis generates three different sets automatically. These generated sets are compared to the provided sets to detect inconsistencies. Because SSA considers multiple UML state diagrams, it discovers inconsistencies that cannot be discovered when considering only a single UML state diagram.
PIDALION: a reconfigurable agent-based multimedia search engine platform
Authors: Anastasios Doulamis, Klimis Ntalianis
Venue: Proceedings of the 10th WSEAS international conference on Mathematical methods, computational techniques and intelligent systems (2008)

Fuelled by the rapid expansion of broadband connectivity and increasing interest in online multimedia-rich applications, the growth of digital multimedia content has skyrocketed. Among others, this growth is compounding the need for more effective methods for searching multimedia information. The automated web search engines that are currently used rely only on text descriptions and as a result provide matches of poor quality in case of multimedia content. The services of a multimedia search engine are therefore a possibility that the internet users still lack. The scope of this paper is thus to present an implementation approach for a personalised web-based multimedia search engine in the Java programming language. This approach combines the characteristics of the current search engines as well as new innovative features which guarantee at the same time the system's quick response and better search results. In this paper, the reader can find an analytical presentation of all the components required to form a multimedia search engine, as well as indications on how to implement key algorithms and functions.
Generic and real-time structure from motion using local bundle adjustment
Authors: E. Mouragnon, M. Lhuillier, M. Dhome, F. Dekeyser, P. Sayd
Venue: Image and Vision Computing (2009)

This paper describes a method for estimating the motion of a calibrated camera and the three-dimensional geometry of the filmed environment. The only data used is video input. Interest points are tracked and matched between frames at video rate. Robust estimates of the camera motion are computed in real-time, key frames are selected to enable 3D reconstruction of the features. We introduce a local bundle adjustment allowing 3D points and camera poses to be refined simultaneously through the sequence. This significantly reduces computational complexity when compared with global bundle adjustment. This method is applied initially to a perspective camera model, then extended to a generic camera model to describe most existing kinds of cameras. Experiments performed using real-world data provide evaluations of the speed and robustness of the method. Results are compared to the ground truth measured with a differential GPS. The generalized method is also evaluated experimentally, using three types of calibrated cameras: stereo rig, perspective and catadioptric.
Enhanced human identification system using dental biometrics
Authors: Swarnalatha Purushotham, Margret Anouncia
Venue: Proceedings of the 10th WSEAS international conference on Neural networks (2009)

This paper presents a Dental Based Security System (DBSS), proves to be an equivalent alternative to the Thumb Impression Based Security System (TIBSS) for identifying the persons. The Enhanced Human Identification System using Dental Biometrics (EHISDB) enable content-based retrieval of antemortem (AM) images from the database by comparing the similarity of teeth to postmortem (PM) images. During storage, the system classifies the dental image to upper periapical and lower periapical views using horizontal and vertical edges. It then segments the teeth and the bones in the periapical view images, using statistical and geometrical calculations, given as an input to the neural networks stored in the database for comparison with postmortem images. Experiments on a small database show that our method is effective for dental image classification and teeth segmentation, provides good results for feature extraction, and acts as a good tool for human identification.
A probabilistic relaxation labeling framework for reducing the noise effect in geometric biclustering of gene expression data
Authors: Hongya Zhao, Kwok Leung Chan, Lee-Ming Cheng, Hong Yan
Venue: Pattern Recognition (2009)

Biclustering is an important method in DNA microarray analysis which can be applied when only a subset of genes is co-expressed in a subset of conditions. Unlike standard clustering analyses, biclustering methodology can perform simultaneous classification on two dimensions of genes and conditions in a microarray data matrix. However, the performance of biclustering algorithms is affected by the inherent noise in data, types of biclusters and computational complexity. In this paper, we present a geometric biclustering method based on the Hough transform and the relaxation labeling technique. Unlike many existing biclustering algorithms, we first consider the biclustering patterns through geometric interpretation. Such a perspective makes it possible to unify the formulation of different types of biclusters as hyperplanes in spatial space and facilitates the use of a generic plane finding algorithm for bicluster detection. In our algorithm, the Hough transform is employed for hyperplane detection in sub-spaces to reduce the computational complexity. Then sub-biclusters are combined into larger ones under the probabilistic relaxation labeling framework. Our simulation studies demonstrate the robustness of the algorithm against noise and outliers. In addition, our method is able to extract biologically meaningful biclusters from real microarray gene expression data.
An automatic method for synthetically preprocessing multi-source NOAA-AVHRR series and FY-1D 1A.5 data
Authors: Shan-You Zhu, Gui-Xin Zhang, Qiu Yin, Ding-Bo Kuang
Venue: International Journal of Remote Sensing (2009)

Polar orbiting meteorological satellites have been used successfully in many fields in which applications, such as dynamic monitoring, need multi-temporal remote sensing data imaged in the same region but at different times and with different sensors. The basis of these quantitative applications is automatic and synthetic preprocessing of different satellite data. In order to ensure the direct comparability of multi-source satellite National Oceanic & Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) series and FY-1D 1A.5 data, based on its imaging mechanisms, the paper discusses radiant and geometric preprocessing methods used for visual and near-infrared and thermal infrared channels. This is performed by analysing the technical parameters of the satellites and the sensors, theoretical numerical simulation and image data comparison. For synthetic radiance preprocessing, radiance calibration, spectral calibration for different sensors and calibration of the Sun elevation angles or the satellite zenith angles at the imaging time are included. Based on normalization of spatial resolution in scan-line directions, rough geometric correction and precise registration are sequentially processed for geometric preprocessing with a higher precision. Combining the detailed steps introduced in the paper, automatic preprocessing of polar orbiting meteorological satellites can be realized.
A Classifier Ensemble Approach to Intrusion Detection for Network-Initiated Attacks
Authors: Stefanos Koutsoutos, Ioannis T. Christou, Sofoklis Efremidis
Venue: Proceeding of the 2007 conference on Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies (2007)

We present a classifier ensemble system using a combination of Neural Networks and rule-based systems as base classifiers that is capable of detecting network-initiated intrusion attacks on web servers. The system can recognize novel attacks (i.e., attacks it has never seen before) and categorize them as such. The performance of the Neural Network in detecting attacks from network data alone is very good with success rates of more than 78% in recognizing new attacks but suffers from high false alarms rates. An ensemble combining the original ANN with a second component that monitors the server's system calls for detecting unusual activity results in high prediction accuracy with very small false alarm rates. We experiment with a variety of ensemble classifiers and decision making schemes for final classification. We report on the results we got from our approach and future directions for this research
Nonlinear optimization methods for uncalibrated robot visual servoing
Authors: Mirjana Bonkovic
Venue: Proceedings of the 10th WSEAS international conference on Automation & information (2009)

This paper considers the uncalibrated, model free, robot visual servoing as a nonlinear optimization problem in which stochasticity is present due to a noise and there is no analytical form of the objective function. Such (robot) systems are suitable for unknown and unstructure envinronments due to minimal requirements related to calibration and robot kinematic's parameters. The numerical quasy-Newton methods offer a theoretical background for problem solving. However, additional attention has to be paid which assured stability and the robustness of the proposed method. In this paper we present the simulation results of various, well-known iterative numerical solution efficacy performing the dynamic target visual servoing. The results show that the generalized form of solutions perform better than the simple form adopted for a specific type of a goal functions.
Passive set-position modulation approach for haptics with slow, variable, and asynchronous update
Authors: Dongjun Lee, Ke Huang
Venue: Proceedings of the World Haptics 2009 - Third Joint EuroHaptics conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (2009)

We consider the following problem in haptics: information update from the virtual world is slow w.r.t. the local servo-loop rate of the haptic device, and the information transmission/update between the haptic device and the virtual world is of variable rate and/or asynchronous. For this, we propose a novel control framework, that, by relying on our recently proposed passive set-position modulation (PSPM) and discrete-time passive non-iterative integrators, enables us to enforce two-port hybrid (i.e. continuous-discrete) passivity for such slow and variable/asynchronous haptics as well as to separate the virtual world simulation design from the device's servo-loop tuning. Relevant experimental results are also presented.
Which Soft Constraints do you Prefer?
Authors: Matthias Hölzl, Max Meier, Martin Wirsing
Venue: Electronic Notes in Theoretical Computer Science (ENTCS) (2009)

Soft constraints are gaining popularity in diverse areas such as orchestration of Web services or optimization of scheduling decisions. However, current approaches to soft constraints preclude them from modelling certain decision problems with multiple preference criteria. We propose a new approach to soft constraints which allows a natural expression of these problems, describe an implementation in the rewriting logic system Maude, and prove its correctness.
User Interface Migration of Microsoft Windows Applications
Authors: John Gerdes,  Jr
Venue: Journal of Software Maintenance and Evolution: Research and Practice (2009)

When migrating a legacy application to a new platform, it is often necessary to recreate the application due to the unavailability of the source code. While there is extensive research addressing the migration of the program logic and modeling of user interface (UI) dynamics, there is limited research dealing with the recreation of the physical graphical user interface. This work investigates to what extent low-level application programming interface calls and graphical comparison techniques can detect and identify objects in the executable version of the legacy application, and then recreate that UI in a new application. Results are reported from an empirical test of 20 applications from multiple software vendors. Findings indicate that the ability to identify objects is dependent on the development platform originally used to create the legacy application. Copyright &copy; 2009 John Wiley & Sons, Ltd.