ppxscal/embedding_network huggingface dataset:
Effect of Rounded Edged Dimple Arrays on the Boundary Layer Development
Authors: H. Mitsudharmadi, C. M. J. Tay, H. M. Tsai
Venue: Journal of Visualization (2009)

The effect of a turbulent boundary layer subjected to a series of rounded edged shallow dimple arrays with dimple depth ratios, d/D of 4%, 8% and 12% were experimentally studied. Measurements show the existence of a higher flow speed region at the center of each dimple. The spanwise distribution of the mean wall shear stress immediately downstream of the centers of the last row of dimples does not vary with dimple depth, and is about 45% over that without the dimple array. Turbulence measurements and surface flow visualization shows that the flow over the shallowest dimple differs from the deeper dimples. Flow separation observed with the deeper rounded edged dimples produce similar flow structures as those from sharp edged dimples reported in the literature. However flow separation is not observed when d/D = 4% but instead two other higher speed regions either side accompany the central flow. The effects of the dimples are rapidly suppressed by the flat surfaces between of the dimples, and the flow rapidly reverts back to an unmanipulated flat boundary layer flow in these areas.
Decomposition of Task-Level Concurrency on C Programs Applied to the Design of Multiprocessor SoC
Authors: Mohammad Zalfany Urfianto, Tsuyoshi Isshiki, Arif Ullah Khan, Dongju Li, Hiroaki Kunieda
Venue: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (2008)

A simple extension used to assist the decomposition of task-level concurrency within C programs is presented in this paper. The concurrency decomposition is meant to be used as the point of entry for Multiprocessor System-on-Chips (MPSoC) architectures' design-flow. Our methodology allows the (re)use of readily available reference C programs and enables easy and rapid exploration for various alternatives of task partitioning strategies; a crucial task that greatly influences the overall quality of the designed MPSoC. A test case using a JPEG encoder application has been performed and the results are presented in this paper.
An e-commerce performance assessment model: Its development and an initial test on e-commerce applications in the retail sector of China
Authors: Jinghua Huang, Ximin Jiang, Qian Tang
Venue: Information and Management (2009)

We developed a performance assessment model for e-commerce; it included indicators, indicator weights, and evaluation methods. The model has seven methods of assessing e-commerce performance and uses four criteria to compare and select the appropriate one for a particular situation. This model was tested in the retail sector of China. According to the data collected from 70 Chinese retailers, 16 indicators of e-commerce performance consisted of four constructs: marketing and sales, customer service, supply chain efficiency, and financial performance. The indicators for those constructs provide a comprehensive measurement of performance. Then weights were assigned for each indicator using a majority aggregation method. Comparison of the results from seven evaluation methods showed that discordance analysis and simple additive weighting were the best evaluation methods for the enterprises we had sampled.
GLSV: Graphics library stereo vision for OpenGL
Authors: S. Mart&#x00ed;n, J. Su&#x00e1;rez, R. Orea, R. Rubio, R. Gallego
Venue: Virtual Reality (2009)

This work proposes the development of an auxiliary library for use with OpenGL, to facilitate the creation of graphic applications incorporating stereoscopic representation. This library, christened graphics library stereo vision (GLSV), is designed to remove all calculations involving knowledge of stereo vision theory from the task performed by the programmer without the latter having to change the way he/she has been working with the OpenGL library. The GLSV is distributed under the terms of the GNU Library General Public License agreement.
Airborne laser data for stand delineation and information extraction
Authors: B. Koch, C. Straub, M. Dees, Y. Wang, H. Weinacker
Venue: International Journal of Remote Sensing (2009)

A literature review of new publications in the field of 3D data for forest applications shows that the application of airborne laser scanner data (ALS) is in the focus of research today due to its great potential for practical applications. While there is a lot of research carried out to derive forest management parameters based on laser metrics deduced from a single tree assessment or a statistical area based assessment, the delineation of stand or sub-stand units derived from laser metrics itself is a rather new approach. In order to describe stand characteristics statistical grid cell approaches or single tree approaches have been developed. The LIDAR based segmentation of stand or sub-stand units is rarely documented. This article provides information on enhanced processes to delineate stand or sub-stand units and to extract different forest information based on airborne laser derived parameters. For the stand delineation an automatic process was developed which provides a stand or sub-stand unit delineation which is according to the first results sufficiently uniform within stands and sufficiently different in species, age class, height class, structure and composition between stands in order to be distinguishable from adjacent areas. With a combined method the stand boundaries as they are established by the mapping units today, as well as sub-stand units which have in common physical characteristics indicating the same management disposition, were assessed. Finally a first validation of the forest stand unit delineation is provided, indicating the high potential of ALS data for separating stand units.
Feature Selection for the Stored-grain Insects Based on PSO and SVM
Authors: Hongtao Zhang, Hanping Mao
Venue: Proceedings of the 2009 Second International Workshop on Knowledge Discovery and Data Mining (2009)

The feature subset selection is a key preprocessing part in the detection of the stored-grain insects based on the image recognition technology. According to the global optimization ability of the particle swarm optimization (PSO) and the superior classification performance of the support vector machines (SVM), this study proposed a method based on PSO and SVM to improve the classification accuracy with the appropriate feature subset. The single objective fitness function was designed to evaluate the feature subset by introducing the v-fold cross-validation training model accuracy and the number of the selected features. Nine species of the stored-grain insects spoiled seriously in grain-depot, like Tenebroides mauritanicus(L.) and Rhizopertha dominica Fabricius. The feature subset selection for the stored-grain insects was implemented by the method based on PSO and SVM. The optimal feature subset consisted of seven features was selected from the 17 morphological features, such as area and perimeter. Compared with the genetic algorithm (GA), the method in this study can decrease the size of the feature subset and improve the classification accuracy. Making use of the feature subset selected by PSO and SVM, the ninety image samples of the stored-grain insects were classified by the SVM classifier that two parameters had been optimized, and the classification accuracy was over 95.5%. The experiment showed that it was practical and feasible.
Engaging students through mobile game development
Authors: Stan Kurkovsky
Venue: ACM SIGCSE Bulletin (2009)

This paper describes using mobile game development as a motivational tool to engage students early in the curriculum. Mobile devices have become an integral part of everyday lives of modern students; using these devices as a part of the coursework may help them see the immediate connections between Computer Science and real-world technology. Compared to traditional game development, programming mobile games is less complex, which enables students with limited programming experience to create playable mobile games within the scope of a single course. Experience presented in this paper may be easily duplicated, but it may be especially useful in the first college-level course for students with CS AP credits.
Software reliability: a method that works
Authors: R. H. Thayer, E. S. Hinton
Venue: Proceedings of the May 19-22, 1975, national computer conference and exposition (1975)

Software reliability is receiving increased attention from a broad spectrum of computer users as larger computer programs continue to be implemented in diverse and widespread areas. The reason is fundamental: software reliability has been poor on many large systems and poor on systems which have a high degree of human interaction.
Structured light in scattering media
Authors: Srinivasa G. Narasimhan, Shree K. Nayar, Bo Sun, Sanjeev J. Koppal
Venue: ACM SIGGRAPH ASIA 2008 courses (2008)

Virtually all structured light methods assume that the scene and the sources are immersed in pure air and that light is neither scattered nor absorbed. Recently, however, structured lighting has found growing application in underwater and aerial imaging, where scattering effects cannot be ignored. In this paper, we present a comprehensive analysis of two representative methods - light stripe range scanning and photometric stereo - in the presence of scattering. For both methods, we derive physical models for the appearances of a surface immersed in a scattering medium. Based on these models, we present results on (a) the condition for object detectability in light striping and (b) the number of sources required for photometric stereo. In both cases, we demonstrate that while traditional methods fail when scattering is significant, our methods accurately recover the scene (depths, normals, albedos) as well as the properties of the medium. These results are in turn used to restore the appearances of scenes as if they were captured in clear air. Although we have focused on light striping and photometric stereo, our approach can also be extended to other methods such as grid coding, gated and active polarization imaging.
Gender classification based on feature selection using genetic algorithms
Authors: Zhiming Liu, George Bebis, Konstantinos Veropoulos
Venue: Proceedings of the 12th WSEAS international conference on Computers (2008)

In this paper we propose a new method to classify gender from face images. In face eigenspace, certain eigenfaces encode more gender information than others. We propose a framework using genetic algorithms (GA) for gender classification. First, GAs are employed to select gender-related eigenfaces from the whole eigenface space and Support Vector Machines (SVM) are used to classify the projection coefficients. Then, GAs are used to select the female eigenfaces and the male eigenfaces from the gender eigenface subset, using SVMs to classify the error between the reconstructed images and average gender images. Finally, in order to fuse the outputs of SVMs from the previous two stages and get the classification decision, the sum rule is employed. Experimental results show that the accuracy of gender classification is 95.1%.
Study into MBMS as a public warning technology
Authors: Guillermo Esteve, David Valverde, Antonio Portilla-Figueras, Sancho Salcedo-Sanz, Javier Diaz-Estebaranz
Venue: Proceedings of the 8th WSEAS international conference on Distance learning and web engineering (2008)

This report analyses the possibilities of supporting the Multimedia Broadcast Multicast Service (MBMS) as a technology to be deployed in a Public Warning System (PWS) using shared resources,. It also provides a general overview of MBMS as defined in the 3rd Generation Partnership Project (3GPP) standards. Different MBMS' modes of operation are exposed and information about how they work is provided. One of these modes is selected as the most suitable one and several enhancements to the standards are proposed.
Texture image retrieval based on non-tensor product wavelet filter banks
Authors: Zhenyu He, Xinge You, Yuan Yuan
Venue: Signal Processing (2009)

In this paper, we present a novel method, which uses non-separable wavelet filter banks, to extract the features of texture images for texture image retrieval. Compared to traditional tensor product wavelets (such as db wavelets), our new method can capture more direction and edge information of texture images, which is highly valuable to reflect the essential properties of the texture images. Experiments show that the proposed method is satisfactory and can achieve better retrieval accuracies than db wavelets.
Digital Drawing for Designers: A Visual Guide to AutoCAD
Authors: Douglas R. Seidler
Venue:  (2007)

AutoCAD has long been the industry standard for digital drawing but how do youdecide which manual to use? Neither simplistic nor exhaustive, Digital Drawing for Designersteaches by relating to what architects and interior designers understand best:the visual world. Beginning with the building blocks of drawing (lines, circles, andarcs), students progress to the graphic standards that will allow them to create drawingsand communicate their design ideas. Advanced features such as dimensions,block, and linking drawings (XREFs) are also covered. Instructions are conveyedusing the language and concepts of manual drawing that all designers know, enablingthem to translate them to the digital environment. New learners will appreciate thestep-by-step lessons, and experienced design professionals can easily access materialto refresh their knowledge. Clear, concise, and above all visual, this is the AutoCADguide written with the real world of designing in mind.Two-page guide walks you and your students through the steps to restore AutoCAD sclassic workspace. Regardless of which workspace you use in your classroom, theAutoCAD commands and concepts introduced in Digital Dawing for Designers arecompatible with AutoCAD 2009.
Compact ASIC Architectures for the 512-Bit Hash Function Whirlpool
Authors: Takeshi Sugawara, Naofumi Homma, Takafumi Aoki, Akashi Satoh
Venue: Information Security Applications: 9th International Workshop, WISA 2008, Jeju Island, Korea, September 23-25, 2008, Revised Selected Papers (2009)

Compact hardware architectures are proposed for the ISO/IEC 10118-3 standard hash function Whirlpool. In order to reduce the circuit area, the 512-bit function block ρ[k] for the main datapath is divided into smaller sub-blocks with 256-, 128-, or 64-bit buses, and the sub-blocks are used iteratively. Six architectures are designed by combining the three different datapath widths and two data scheduling techniques: interleave and pipeline. The six architectures in conjunction with three different types of S-box were synthesized using a 90-nm CMOS standard cell library, with two optimization options: size and speed. A total of 18 implementations were obtained, and their performances were compared with conventional designs using the same standard cell library. The highest hardware efficiency (defined by throughput per gate) of 372.3 Kbps/gate was achieved by the proposed pipeline architecture with the 256-bit datapath optimized for speed. The interleaved architecture with the 64-bit datapath optimized for size showed the smallest size of 13.6 Kgates, which requires only 46% of the resources of the conventional compact architecture.
Metamorphosis: facsimile communications, electronic mail and office productivity
Authors: John E. Cochran
Venue: Proceedings of the May 19-22, 1980, national computer conference (1980)

Information is a fundamental resource that can be leveraged to meet the demands of the imperative for productivity improvements in our offices.
An OWL-based semantic business process monitoring framework
Authors: Dongwoo Kang, Sunjae Lee, Kwangsoo Kim, Jae Yeol Lee
Venue: Expert Systems with Applications: An International Journal (2009)

Process monitoring phase is one of the service-oriented business process (SOBP) lifecycle phases. Traditional process monitoring approaches have been only achieved at the syntactic level of the process monitoring contexts, which causes the communication problems such as ambiguous understandings and divergent interpretations. To solve the problems, the process monitoring should be achieved at the semantic level as well as at the syntax level of the process monitoring context. In order to support semantic monitoring operations, an ontology-based monitoring framework for the SOBP execution is suggested in this paper. The suggested framework combines a BPEL4WS process model with the semantic monitoring context which is expressed with OWL.
The timing of online lecture slide availability and its effect on attendance, participation, and exam performance
Authors: Kimberley A. Babb, Craig Ross
Venue: Computers Education (2009)

The use of PowerPoint slides has become an almost ubiquitous practice in university classrooms, however little research has examined whether the timing of lecture slide availability to students (either before or after lecture) affects classroom behaviour or exam performance. Using a 2 (slide availability condition)x2 (course type) between-subjects design, the present study examined lecture slide availability differences in attendance, participation, and exam performance in two courses - Research Methods and Cognitive Development - taught in both the Fall and Winter semesters. For each type of course, lecture slides were made available on the course website before lecture in one semester and after lecture in the other semester. Course material was held constant across semesters. Results showed that mean attendance was higher when slides were available before lecture, but only for the type of course that did not include attendance points as part of students' final grades. For students who participated in class, participation was more frequent when slides were available before lecture. No significant difference in exam performance was found between lecture slide availability conditions, however. These findings suggest that making lecture slides available to students before lecture may lead to better overall attendance and participation, but exam performance is determined by more than just whether or not students have lecture slides available for their note-taking.
Fast and Efficient MRF-Based Detection Algorithm of Missing Data in Degraded Image Sequences
Authors: Sang-Churl Nam, Masahide Abe, Masayuki Kawamata
Venue: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (2008)

This paper proposes a fast, efficient detection algorithm of missing data (also referred to as blotches) based on Markov Random Field (MRF) models with less computational load and a lower false alarm rate than the existing MRF-based blotch detection algorithms. The proposed algorithm can reduce the computational load by applying fast block-matching motion estimation based on the diamond searching pattern and restricting the attention of the blotch detection process to only the candidate bloch areas. The problem of confusion of the blotches is frequently seen in the vicinity of a moving object due to poorly estimated motion vectors. To solve this problem, we incorporate a weighting function with respect to the pixels, which are accurately detected by our moving edge detector and inputed into the formulation. To solve the blotch detection problem formulated as a maximum a posteriori (MAP) problem, an iterated conditional modes (ICM) algorithm is used. The experimental results show that our proposed method results in fewer blotch detection errors than the conventional blotch detectors, and enables lower computational cost and the more efficient detecting performance when compared with existing MRF-based detectors.
Event strictness for components with complex bindings
Authors: Fabricio Fernandes, Robin Passama, Jean-Claude Royer
Venue: Proceedings of the 2nd India software engineering conference (2009)

Component Based Software Engineering has been investigated to improve software modularity. Various component models exist, but improvements are still needed to provide architecture validation. In this paper, we present a hierarchical component model using explicit protocols defined with the Symbolic Transition System (STS) formalism. This model is based on an N-party rendezvous and provides three new kinds of bindings. We formalise our model and define two orthogonal properties: behavioural compatibility and event strictness. We also present preliminary results about the check of these properties.
Performance enhancement for IEEE 802.11e networks by adaptive adjustment of the HCCA/EDCA ratio
Authors: Wei Kuang Lai, Chin-Shiuh Shieh, Chih-Shiuan Jiang
Venue: Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication (2009)

To reduce the average delay and to improve the overall system throughput in IEEE 802.11e environment, a novel scheme for the adaptive adjustment of the ratio of HCCA and EDCA periods is developed and presented in this article. The fundamental idea is to choose favorable transfer modes for traffics with different characteristics. The ratio of HCCA and EDCA periods can be dynamically adjusted by changing the CAPLimit value, which specifies the maximal permissible duration for HCCA. A two-phase algorithm is designed to adaptively adjust the CAPLimit value based on measured system dynamics. In Phase 1, coarse-grain adjustment was made to the CAPLimit value according to the measured ratio of CBR-prone traffics and VBR-prone traffics. In Phase 2, the CAPLimit value is subject to fine-tuning based on observed system throughput. Simulation results reveal that the proposed scheme can effectively reduce the average delay and, in the same time, is capable of maintaining or even improving the total throughput.
Multi-core demands multi-interfaces
Authors: Yale N. Patt
Venue: Proceedings of the 14th ACM SIGPLAN symposium on Principles and practice of parallel programming (2009)

The challenge for the microarchitect has always been (with very few notable domain-specific exceptions) how to translate the continually increasing processing power provided by Moore's Law into increased performance, or more recently into similar performance at lower cost in energy. The mechanisms in the past (almost entirely) kept the interface intact and used the increase in transistor count to improve the performance of the microarchitecture of the uniprocessor. When that became too hard, we went to larger and larger on-chip caches. Both are consistent with the notion that "abstractions are good." At some point, we got overwhelmed with too many transistors; predictably, multi-core was born. As the transistor count continues to skyrocket, we are faced with two questions: what should be on the chip, and how should the software interface to it. If we expect to continue to take advantage of what process technology is providing, I think we need to do several things, starting with rethinking the notion of abstraction and providing multiple interfaces for the programmer.
A partition-based heuristic for translational box covering
Authors: Ben England, Karen Daniels
Venue: Proceedings of the 12th WSEAS international conference on Computers (2008)

Geometric covering problems are found in application domains such as sensor coverage and repairing of materials. This paper considers covering problems in which a target shape to be covered is specified and a set of covering shapes is supplied. The goal is to find translational positions of the covering shapes that allow them to collectively cover the target. All the shapes are orthotopes (convex boxes). The approach provides the best known results for translational, two-dimensional orthotope covering and the first results in three and four dimensions. Experiments suggest why the strategy succeeds in certain regions of the problem domain in spite of the NP-hardness of translational orthotope covering. This leads to a novel, dimension-independent measure that significantly improves the speed of the method. Orthotopes can form enclosures for nonconvex shapes, so progress for orthotope covering is beneficial in a more general context.