ppxscal/embedding_network huggingface dataset:
An analysis of the effects of a computer-enhanced curriculum and gender on student achievement in mathematics at a historically black college and university
Authors: Sherry S. Herron
Venue:  (2008)

The author investigated factors that could determine whether a computer-enhanced curriculum has an effect on achievement among gender in mathematics, specifically college algebra. Students from College Algebra classes at a Historically Black College and University will form the sample. The author used a two-way analysis of variance (ANOVA) to determine the significance of the independent variables (Curriculum and Gender) on the dependent variable (Common Final Exam Score). In addition, the author determined if there differences in the attitudes of male and female students as a result of a computer-enhanced curriculum. One hundred sixty students from eight College Algebra classes at a Historically Black College and University (HBCU) formed the sample. The author used a two-way analysis of variance (ANOVA) to determine the significance of the independent variables (Curriculum and Gender) on the dependent variable (Common Final Exam Score). Results taken from using a two-way ANOVA indicated a statistically significant difference for the independent variable-curriculum. Thus, a computer-enhanced curriculum was shown to have an effect on student achievement in college algebra. On the other hand, the independent variable-gender, along with the interaction of curriculum and gender, with the dependent variable, indicated no significant difference. This study also noted that the female students scored higher than their male counterparts in a traditional curriculum but lower in a computer-enhanced curriculum. However, the author recommends that educators implement some form of technology in their teaching and also suggests that further explorations of these factors be conducted for longer time periods and across other disciplines. To supplement the quantitative analysis, interviews were conducted to determine students' attitudes toward technology in their mathematics classes. The females' attitudes towards technology were amiable while the males' attitudes were aloof. Males indicated a preference of pencil and paper while the females enjoyed working with technology. In addition, males had more pre-college computer experience. However, all interviewees acknowledged the importance computers will have in classrooms in the future.
Interactive system for image based 3D modelling and rendering from single view perspective images
Authors: S. Mohan, S. Murali
Venue: International Journal of Computational Vision and Robotics (2009)

Most of the image-based modelling and rendering works rely on the input supplied by the user. It becomes necessary to optimise the user interaction while building the 3D model. We present an interactive system for image-based 3D modelling from single view uncalibrated images based on depth-cueing. The depth information is interpreted by drawing a grey line with highest intensity at the vertices closer to viewing point and proportionally decreasing towards the vertices farther. On the rendering part, the perspective distortion is rectified on each surface based on projective transformation by exploiting the presence of symmetric objects in the images to get the fronto-parallel view. The significance of symmetric objects in a scene to rectify the perspective distortion is demonstrated. The rectified surfaces are used to retrieve the actual 3D coordinates of the wireframe and also used as texture maps during rendering to get the photo realistic results.
Analysis of a fixed-complexity sphere decoding method for spatial multiplexing MIMO
Authors: M. Haridim, H. Matzner, V. Neder, D. Ezri
Venue: WSEAS TRANSACTIONS on COMMUNICATIONS (2009)

A new detection algorithm for decoding multiple-input multiple-output (MIMO) transmission is proposed and analyzed. The method is based on combining sphere decoding (SD) and zero forcing (ZF) techniques. The proposed method performs a fixed number of operations to detect the signal, independent of the noise level, and hence provides a fixed complexity near optimal performance. The algorithm is especially suited for systems with a large number of transmit antennas and allows efficient implementation in hardware. The high efficiency of this algorithm is obtained by limiting the number of overall SD iterations. Moreover, in the proposed method matrices with high condition number are more likely to undergo SD.
Unified parallel systolic multiplier over GF(2m)
Authors: Chiou-Yng Lee, Yung-Hui Chen, Che-Wun Chiou, Jim-Min Lin
Venue: Journal of Computer Science and Technology (2007)

In general, there are three popular basis representations, standard (canonical, polynomial) basis, normal basis, and dual basis, for representing elements in GF(2m). Various basis representations have their distinct advantages and have their different associated multiplication architectures. In this paper, we will present a unified systolic multiplication architecture, by employing Hankel matrix-vector multiplication, for various basis representations. For various element representation in GF(2m), we will show that various basis multiplications can be performed by Hankel matrix-vector multiplications. A comparison with existing and similar structures has shown that the proposed architectures perform well both in space and time complexities.
Plenary lecture 7: programming languages as tools for describing and modeling anticipatory systems
Authors: Eugene Kindler
Venue: Proceedings of the 10th WSEAS international conference on Automation & information (2009)

Nowadays, more and more complex systems are studied and modeled. The complexity consists not only in enormous number of system components but also of enormous number of the laws that the components should respect in their structure, behavior and interactions. Among them, the behavior of the human beings occurring in the systems is more and more considered in exact studying of the systems. The individual laws of thinking of such persons use general notions and have more or less common with the external persons who think on such systems - e.g. during designing them. Nowadays, the thinking of both the sorts of humans is transformed to computing systems. That implies that the general notions should be represented at the computing systems, among which the notions of "humans who take notions in their means". A special (but very frequent) case of human thinking is anticipation - almost any person who figures in a system and can influence it in more or less important sense, decides with view on possible future consequences of his decision for himself and for the system. The main way of that human thinking is rational imagining of the stepwise running consequences. Transforming that to computing technique, one obtains simulation. So one comes to simulation of systems that contain simulating elements. Nevertheless, anticipation can cover also the anticipation of other elements (masters, pupils, collaborators, competitors, antagonists etc.) so that the "nesting" of computer models and of knowledge representations can be iterated. The programming languages that are object-oriented, process-oriented and block-oriented are suitable both for describing such systems and notions that figure in them and the descriptions can me then used as exact inputs for computer modeling and simulation. Running computer models of local transport in production processes and in container terminal will be presented.
Semantic alerting for digital libraries
Authors: George Buchanan, Annika Hinze
Venue: Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries (2009)

We previously investigated the support of alerting services across networks of heterogeneous digital libraries. We now report the first generation of semantically enhanced digital library alerting systems. Where previous alerting services have provided users with notifications of new library content using traditional metadata, we demonstrate the advantages and challenges of using semantic technologies. This uncovers key issues that are not yet fully understood in general event-based systems (including alerting systems).
Mechanisms for coordinated power management with application to cooperative distributed systems
Authors: Karsten Schwan
Venue:  (2008)

Computing systems are experiencing a significant evolution triggered by the convergence of multiple technologies including multicore processor architectures, expanding I/O capabilities (e.g., storage and wireless communication), and virtualization solutions. The integration of these technologies has been driven by the need to deliver performance and functionality for applications being developed in emerging mobile and enterprise systems. These accomplishments, though, have come at the cost of increased power and thermal signatures of computing platforms. In response to the resulting power issues, power centric policies have been deployed across all layers of the stack including platform hardware, operating systems, application middleware, and virtualization components. Effective active power management requires that these independent layers or components behave constructively to attain globally desirable benefits. Two choices are (1) to tightly integrate different policies using negotiated management decisions, and (2) to coordinate their use based on the localized policy decisions that are already part of modern computer architectures and software systems. Recognizing the realities of (2), the goal of this thesis is to identify, define, and evaluate novel system-level coordination mechanisms between diverse management components that exist across system layers. The end goal of these mechanisms, then, is to enable synergistic behaviors between management entities, across different levels of abstraction, and across different physical platforms to improve power management functionality. Contributions from this work include operating system level mechanisms that dynamically capture workload behavior thereby enabling power efficient scheduling, and system descriptor mechanisms that allow for improved workload allocation and resource management schemes. Finally, observing the strong need for coordination in managing virtualized systems due to the existence of multiple, independent system layers, a set of extensions to virtualization architectures for effectively coordinating VM management in datacenters are developed.
Turning down the noise in the blogosphere
Authors: Khalid El-Arini, Gaurav Veda, Dafna Shahaf, Carlos Guestrin
Venue: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining (2009)

In recent years, the blogosphere has experienced a substantial increase in the number of posts published daily, forcing users to cope with information overload. The task of guiding users through this flood of information has thus become critical. To address this issue, we present a principled approach for picking a set of posts that best covers the important stories in the blogosphere. We define a simple and elegant notion of coverage and formalize it as a submodular optimization problem, for which we can efficiently compute a near-optimal solution. In addition, since people have varied interests, the ideal coverage algorithm should incorporate user preferences in order to tailor the selected posts to individual tastes. We define the problem of learning a personalized coverage function by providing an appropriate user-interaction model and formalizing an online learning framework for this task. We then provide a no-regret algorithm which can quickly learn a user's preferences from limited feedback. We evaluate our coverage and personalization algorithms extensively over real blog data. Results from a user study show that our simple coverage algorithm does as well as most popular blog aggregation sites, including Google Blog Search, Yahoo! Buzz, and Digg. Furthermore, we demonstrate empirically that our algorithm can successfully adapt to user preferences. We believe that our technique, especially with personalization, can dramatically reduce information overload.
Managing eZ Publish Web Content Management Projects: Strategies, best practices, and techniques for implementing eZ publish open-source CMS projects to delight your clients
Authors: Martin Bauer
Venue:  (2007)

This book takes you through the process of successfully managing an eZ publish web content management project in an efficient and effective manner, giving you strategies, best practices, and techniques for implementing eZ publish projects to delight your clients. eZ Publish is an enterprise open-source CMS (content management system) and development framework with functionality for web publishing, intranets, e-commerce, extranets, and web portals.He shows you how to produce quality results in a repeatable manner with the minimum of effort, and end up with eZ publish solutions that will delight your clients. The book presents strategies, best practices, and techniques for all steps of your eZ publish project, starting from client requirements, through planning, information architecture and content modeling, design considerations, and right up to deployment, client training, maintenance, support, and upgrades. Tips and expert advice for the whole eZ publish web CMS project lifecycleLearn about the requirements and success factors of an eZ projectImplement eZ publish projects successfully, efficiently, and effectively This book is for people responsible for the implementation and management of eZ publish projects, and is ideal for people building sites for "medium to large clients". If you're a project manager running an eZ publish web content management project and you want to learn how to run your projects more efficiently, or you want a better understanding of all the elements involved in eZ publish web content management projects this book is for you. This is not an implementation guide or a book to learn eZ publish from - you will not be able to build a site by following this book. It is for people who have experienced eZ publish projects, or are considering them. The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
IP Networking over Next-Generation Satellite Systems: International Workshop, Budapest, July 2007, 1st edition
Authors: Linghang Fan, Haitham Cruickshank, Zhili Sun
Venue:  (2007)

With the boom of Internet, IP-based applications, such as WWW and multimedia, bave been an essential part of our life, and there is an ever-increasing demand for accessing high-speed Internet services anywhere and anytime. This trend unavoidably has huge impacts on the design of the next-generation satellite systems. On the other hand, with its broadcasting nature and unique coverage, satellite systems also can play an important role in the next-generation Internet. For example, satellite systems can be a good driver for the deployment of IPv6 in the Internet, and can provide a fast way to reach end-users because they do not rely on construction of a high-speed terrestrial networks. The workshop proceedings will focus on the IP networking of next-generation satellite systems. Topics include IPv6 over satellites, new architectures of next-generation satellite systems, satellite and terrestrial network integration, network monitoring and measurement, and perfmance enhancement.
Enabling End-to-End Data-Driven Sensor-Based Scientific and Engineering Applications
Authors: Nanyan Jiang, Manish Parashar
Venue: Proceedings of the 9th International Conference on Computational Science (2009)

Technical advances are leading to a pervasive computational infrastructure that integrates computational processes with embedded sensors and actuators, and giving rise to a new paradigm for monitoring, understanding, and managing natural and engineered systems --- one that is information/data-driven. However, developing and deploying these applications remains a challenge, primarily due to the lack of programming and runtime support. This paper addresses these challenges and presents a programming system for end-to-end sensor/actuator-based scientific and engineering applications. Specifically, the programming system provides semantically meaningful abstractions and runtime mechanisms for integrating sensor systems with computational models for scientific processes, and for in-network data processing such as aggregation, adaptive interpolation and assimilations. The overall architecture of the programming system and the design of its key components, as well as its prototype implementation are described. An end-to-end dynamic data-driven oil reservoir application that combines reservoir simulation models with sensors/actuators in an instrumented oilfield is used as a case study to demonstrate the operation of the programming system, as well as to experimentally demonstrate its effectiveness and performance.
A Model-Based Approach for Human Body Reconstruction from 3D Scanned Data
Authors: Thibault Luginbühl, Philippe Guerlain, André Gagalowicz
Venue: Proceedings of the 4th International Conference on Computer Vision/Computer Graphics CollaborationTechniques (2009)

Human body scanners can quickly provide clouds of more than 200 000 points representing the human body's surface. Many new applications can be derived from the ability to build a 3D model of a real person, especially in the textile industry allowing virtual try-on approachs. However, getting a regular model, suitable for these applications from scanned data is not a straightforward task. In this paper, we propose a model-based approach to model a specific person. We use a generic model whitch is segmented and points are organized in slices. We adapt the sizes of each body limb and then fit each slice on the data, limb by limber.
Parametrized BRDF for atmospheric and topographic correction and albedo estimation in Jiangxi rugged terrain, China
Authors: Jianguang Wen, Qinhuo Liu, Qiang Liu, Qing Xiao, Xiaowen Li
Venue: International Journal of Remote Sensing (2009)

A method is presented for bi-directional reflectance distribution function (BRDF) parametrization for topographic correction and surface reflectance estimation from Landsat Thematic Mapper (TM) over rugged terrain. Following this reflectance, albedo is calculated accurately. BRDF is parametrized using a land-cover map and Landsat TM to build a BRDF factor to remove the variation of relative solar incident angle and relative sensor viewing angle per pixel. Based on the BRDF factor and radiative transfer model, solar direct radiance correction, sky diffuse radiance and adjacent terrain reflected radiance correction were introduced into the atmospheric-topographic correction method. Solar direct radiance, sky diffuse radiance and adjacent terrain reflected radiance, as well as atmospheric transmittance and path radiance, are analysed in detail and calculated per pixel using a look-up table (LUT) with a digital elevation model (DEM). The method is applied to Landsat TM imagery that covers a rugged area in Jiangxi province, China. Results show that atmospheric and topographic correction based on BRDF gives better surface reflectance compared with sole atmospheric correction and two other useful atmospheric-topographic correction methods. Finally, surface albedo is calculated based on this topography-corrected reflectance and shows a reasonable accuracy in albedo estimation.
Vispedia: on-demand data integration for interactive visualization and exploration
Authors: Bryan Chan, Justin Talbot, Leslie Wu, Nathan Sakunkoo, Mike Cammarano, Pat Hanrahan
Venue: Proceedings of the 35th SIGMOD international conference on Management of data (2009)

Wikipedia is an example of the large, collaborative, semi-structured data sets emerging on the Web. Typically, before these data sets can be used, they must transformed into structured tables via data integration. We present Vispedia, a Web-based visualization system which incorporates data integration into an iterative, interactive data exploration and analysis process. This reduces the upfront cost of using heterogeneous data sets like Wikipedia. Vispedia is driven by a keyword-query-based integration interface implemented using a fast graph search. The search occurs interactively over DBpedia's semantic graph of Wikipedia, without depending on the existence of a structured ontology. This combination of data integration and visualization enables a broad class of non-expert users to more effectively use the semi-structured data available on the Web.
Computer skills of first-year students at a South African university
Authors: Jane Nash
Venue: Proceedings of the 2009 Annual Conference of the Southern African Computer Lecturers' Association (2009)

With increasing use of information and communication technologies in education, students entering university need a basic level of computer proficiency to be able to access course material and complete assignments. At the University of Cape Town (UCT), all new first-year students are required to write an online computer skills test, so that those who lack the necessary skills can be identified and provided with basic training. This paper analyses the results of the computer skills assessments written by 4169 first-year students during orientation 2009. We conclude that there is a definite need to provide computer training for new university students, and that African students are most at risk of being disadvantaged by their lack of prior skills.
Improving performance in integrated DSS with object oriented modeling
Authors: Adela Bâra, Vlad Diaconita, Ion Lungu, Manole Velicanu
Venue: WSEAS Transactions on Computers (2009)

The development cycle of a decision support system involves many resources, time and high cost and above all, the database schema used in the system is built only for some specific tasks. So, a relational database schema or a data warehouse prototype cannot be easily mapped and reused in multiple DSS projects. In this paper we propose an object-oriented (OO) approach and an OO database schema to accomplish the DSS implementation which require a multidimensional modeling at the conceptual level using fundamental concepts of OO (class, attribute, method, object, polymorphism, inheritance, hierarchy) to represent all multidimensional properties of a data warehouse, at both the structural and dynamic levels.