ppxscal/embedding_network huggingface dataset:
Object-based and class-based composition of transitive mixins
Authors: Uwe Zdun, Mark Strembeck, Gustaf Neumann
Venue: Information and Software Technology (2007)

In object-oriented composition, classes and class inheritance are applied to realize type relationships and reusable building blocks. Unfortunately, these two goals might be contradictory in many situations, leading to classes and inheritance hierarchies that are hard to reuse. Some approaches exist to remedy this problem, such as mixins, aspects, roles, and meta-objects. However, in all these approaches, situations where the mixins, aspects, roles, or meta-objects have complex interdependencies among each other are not well solved yet. In this paper, we propose transitive mixins as an extension of the mixin concept. This approach provides a simple and reusable solution to define ''mixins of mixins''. Moreover, because mixins can be easily realized on top of aspects, roles, and meta-objects, the same solution can also be applied to those other approaches.
The effect of routing under local information using a social insect metaphor
Authors: Suiliong Liang, A. N. Zincir-Heywood, M. I. Heywood
Venue: Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02 (2002)

Although adaptive and heuristic approaches perform well under idealized conditions to the packet network routing problem, such algorithms are also dependent on global information that is not available under real-world conditions. This work benchmarks routing under local information conditions using the AntNet algorithm and makes recommendations regarding future approaches.
Integrating engineering design and engineering communication to enhance quality
Authors: M. G. Barchilon
Venue: Proceedings of the 26th Annual Frontiers in Education - Volume 01 (1996)

Engineering students require strong design and communication abilities to succeed in today's competitive workplace. To help students meet these needs, Fall 1995 faculty at Arizona State University (ASU) began teaching an innovative new core course, Intermediate Engineering Design (ECE300), which integrates engineering design and engineering communication. In ECE300, which is the only course team taught by engineering design and technical communication experts, faculty collaborate to help students develop their critical thinking abilities and improve the quality of their designs, documents, and presentations.
Simulation-Based Analysis of Dielectrophoretic Field Flow Fractionation Devices
Authors: S. Krishnamoorthy, J. J. Feng, Z. J. Chen
Venue: IEEE Design Test (2007)

Lab-on-a-chip systems have a variety of applications in biotechnology, such as biochemical analysis and high-throughput screening. Separation of micron-sized particles and cells is critical in many of these applications. Field flow fractionation (FFF) using dielectrophoresis (DEP) is fast-becoming an established methodology for sorting and manipulating particles and cells. However, design and development of FFF systems poses many challenges because DEP forces vary significantly with applied electric potential and frequency, as well as dielectric properties of the particles and cells and the medium. This article illustrates simulation-based analysis of FFF devices that employ both conventional and traveling-wave forms of DEP forces, in conjunction with laminar flows. High-fidelity simulations provide deeper insight into various competing forces, and facilitate the selection of optimal geometry and process parameters for maximum performance.
A Systemic Framework for the Field of Data Mining and Knowledge Discovery
Authors: Yi Peng, Gang Kou, Yong Shi, Zhengxin Chen
Venue: Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops (2006)

This paper proposes a systemic framework that attempts to define the domain and major areas of Data Mining and Knowledge Discovery (DMKD). Grounded theory approach, a qualitative method that inductively develops an understanding of phenomena, is adopted to build the framework. Using a large collection of DMKD literature, including DMKD journals, conference proceedings, syllabuses, and dissertations, this study develops a framework of eight main areas for the field: (1) foundations of DMKD, (2) learning methods & techniques, (3) mining complex data, (4) highperformance & distributed data mining, (5) data mining software & systems, (6) data mining process & project, (7) data mining applications, (8) data mining tasks. The last area is suggested as the central theme of the field. Keywords: Data mining and knowledge discovery, Grounded theory, Theoretic framework.
Magic canvas: interactive design of a 3-D scene prototype from freehand sketches
Authors: HyoJong Shin, Takeo Igarashi
Venue: Proceedings of Graphics Interface 2007 (2007)

Construction of a 3-D scene consisting of multiple objects can be tedious work. Existing 3-D editing tools require the user to choose an appropriate model in a database first and then carefully place it in the scene at a desired position combining various operations such as translation, rotation, and scaling. To simplify the process, we propose a system that takes simple 2D sketches of models in a scene as input for 3D scene construction. The system then automatically identifies corresponding models in a database and puts them in the appropriate location and posture so that their appearance matches the user's input sketches. The system combines a 3-D model search and a 3-D posture estimation to obtain the result. This system allows the user to construct a prototype of a 3-D scene quickly and intuitively. We conducted a user study to compare our interface with traditional menu-based UI and verified that our system was useful for constructing a 3-D scene prototype, especially for facilitating the exploration of various alternative designs. We expect our system to be useful as a prototyping tool for 3-D scene construction in various application areas such as interior design, communication, education, and entertainment.
A Utility-Based Adaptivity Model for Mobile Applications
Authors: Mourad Alia, Viktor S. Wold Eide, Nearchos Paspallis, Frank Eliassen, Svein O. Hallsteinsen, George A. Papadopoulos
Venue: Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops - Volume 02 (2007)

Mobile environments are characterized by resource fluctuations and limitations, and variations in user preferences. Therefore mobile applications need to be adaptive to retain usability, usefulness and reliability. In our approach to support adaptivity, we combine context awareness, reflection and component composition planning. The planning is done by generic middleware and supports dynamic discovery, utility-based and context-aware evaluation, and selection of the best implementation alternative of a given mobile application. In this paper we present a formal model of our approach and use this model to show the expressiveness of utility-based adaptation policies. To demonstrate the feasibility and expressiveness of our approach we include a case study based on a real adaptive application built using our model and middleware.
Text Visualization - What Colors Tell About a Text
Authors: Wibke Weber
Venue: Proceedings of the 11th International Conference Information Visualization (2007)

This article introduces an approach to text visualization by colors. I suggest a color code that displays word classes: noun (black), verb (red), adjective (green), determiner (grey), particle (brown), conjunction (blue), and interjection (yellow). The colored words provide some details about 1. text genre, 2. sentence structure, and 3. writing style. Samples with fictional narratives and scientific articles (both in German) show that fictional texts have a brighter color pattern compared to scientific texts. The color pattern might be related to the hidden sound or melody of a text. Therefore, text visualization could be useful both as a future method to analyze different text genres and as a method helping laypersons getting a better feeling for texts, identifying troublesome phrases, and perhaps improving their writing style.
A Safe Regression Test Selection Technique for Web Services
Authors: Michael Ruth, Shengru Tu
Venue: Proceedings of the Second International Conference on Internet and Web Applications and Services (2007)

Web applications and Web services have to undergo rapid modifications, and these modifications must be supported by rapid verification. While regression testing (RT) is a major component of most major testing systems, the related techniques have only just begun to be applied to Web services. One of the more important techniques, Regression test selection (RTS) aims to reduce the cost of performing RT. This paper reports a control flow graph-based approach that makes it possible to apply a safe RTS technique to Web services in an end-to-end manner. Safe RTS techniques ensure that no modification revealing tests will be left unselected. A simplified purchase order system that involves in three Web services is used to illustrate the use of our approach.
Source adaptive software 2D iDCT with SIMD
Authors: L. L. Winger
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 06 (2000)

This paper presents a fast two-dimensional inverse discrete cosine transform that adapts to compressed video source statistics to reduce execution time. iDCT algorithms for sparse blocks eliminate calculations for some zero coefficients and are implemented with quad-word parallel single-instruction-multiple-data (SIMD) multimedia instructions. It is observed that end-of-block marker value histograms vary little within single shots. An adaptive control mechanism is proposed that chooses the optimal set of iDCTs to prepare for an entire shot from its 1st frames (to reduce software overheads and penalties). This introduces no degradation of decoded video quality compared with a conventional SIMD 8/spl times/8 iDCT implemented with Intel MMX instructions. It is confirmed that execution time is reduced an additional 15% with Murata's method for 4 Mbps MPEG2 natural video. In comparison, execution time is reduced 22% with a modified version Murata's method, and by 35% with the new source adaptive method.
Inverse error diffusion using table look-up and vector quantization: a novel scheme for low bit rate
Authors: H. Dujmic
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04 (2000)

This paper considers inverse error diffusion and data compression of binary error diffused images using table look-up and vector quantization (VQ). The encoding process needs a table look-up which transforms half-toned images to a set of codewords. The decoding process requires table look-up and low pass filtering. Using the proposed scheme the reconstructed gray-scale image is stored in a compressed form, Also, the error diffused image can be compressed in the gray-scale domain. Our method integrates the processes of inverse halftoning and compression and is useful when error diffusion halftoning algorithm is applied. The proposed scheme outperforms, for low bit rate (0.25 bpp to 0.5 bpp), similar existing techniques and is of low computational complexity.
Effects of a Computer-based Nursing Documentation System on the Quality of Nursing Documentation
Authors: Cornelia Mahler, Elske Ammenwerth, Andreas Wagner, Angelika Tautz, Torsten Happek, Bettina Hoppe, Ronald Eichstädter
Venue: Journal of Medical Systems (2007)

Nursing documentation is an important part of clinical documentation. However, documentation of the nursing process is frequently lacking quality. There are high expectations that computer support in nursing documentation will help improve documentation quality. This study aimed to examine whether the introduction of a computer based nursing documentation system can improve documentation quality. A prospective intervention study was conducted on 4 wards of the University Medical Center Heidelberg over a period of 18 months. Two wards in the Psychiatric University Medical Center Heidelberg were involved in the research study, as well as a dermatological and a pediatric ward. The results of the study show a significant improvement of documentation quantity and quality on three of the four wards. Positive aspects include completeness of documentation on the nursing process, formal aspects and subjective quality improvement by the nurses. Negative aspects were mainly associated with the contents of the care plans.
The Learning Assessment Journal as a tool for structured reflection in process education
Authors: S. Carroll
Venue: Proceedings of the 26th Annual Frontiers in Education - Volume 01 (1996)

Process education requires extensive data collection in and out of the classroom over a period of time. The authors have developed and tested a tool which simplifies this task for both faculty and students. The tool is known as the Learning Assessment Journal. It contains a semester's worth of forms for different roles in cooperative learning, reading logs, self-assessment forms and instruments for team reporting. Each form provides hints to assist the student in synthesizing course concepts and in reflecting about individual as well as team performance. Application of the Learning Assessment Journal is discussed within the context of two different freshman seminar courses.
An automated binary security update system for FreeBSD
Authors: Colin Percival
Venue: Proceedings of the BSD Conference 2003 on BSD Conference (2003)

With the present trend towards increased reliance upon computer systems, the provision and prompt application of security patches is becoming vital. Developers of all operating systems must generally be applauded for their success in this area; systems administrators, however, are often found lacking. Anecdotal evidence suggests that for FreeBSD much of the difficulty arises out of the need to recompile from the source code after applying security patches. Many people, after spending years using closed-source point-and-click operating systems, find the concept of recompiling software to be entirely foreign, and even veteran users of open source software are often less than prompt about applying updates. Providing these people with a binary option should significantly improve the rate at which security updates are applied. This paper describes an automated system for building and distributing binary security updates for FreeBSD, and describes the challenges encountered. I also describe some of the limitations of this system, and discuss some possibilities for future work.
A modified fuzzy C-means image segmentation algorithm for use with uneven illumination patterns
Authors: Li Ma, R. C. Staunton
Venue: Pattern Recognition (2007)

A novel fuzzy C-mean (FCM) algorithm is proposed for use when active or structured light patterns are projected onto a scene. The underlying inhomogeneous illumination intensity due to the point source nature of the projection, surface orientation and curvature has been estimated and its effect on the object segmentation minimized. Firstly, we modified the recursive FCM algorithm to include biased illumination field estimation. New clustering center and fuzzy clustering functions resulted based on the intensity and average intensity of a pixel neighborhood based object function. Finally, a dilation operator was used on the initial segmented image for further refinement. Experimental results showed the proposed method was effective for segmenting images illuminated by patterns containing underlying biased intensity fields. A higher accuracy was obtained than for traditional FCM and thresholding techniques.
Egomotion Estimation in Monocular Infra-red Image Sequence for Night Vision Applications
Authors: Sang-Hack Jung, Jayan Eledath, Stefan Johansson, Vincent Mathevon
Venue: Proceedings of the Eighth IEEE Workshop on Applications of Computer Vision (2007)

This paper presents a real-time egomotion estimation scheme that is specifically designed for measuring vehicle motion from a monocular infra-red image sequence at night time. Conventional methods of estimating camera motion such as optical-flow based method or direct-method that depends on brightness constancy do not work well in relatively low resolution infra-red imagery due to lack of textureness. In this paper, we propose a method that is based on aggregate feature tracking that is constrained by focus of expansion from instantaneous vehicle motion. Qualitative analysis of error is presented by comparing with groundtruth accelerometer data. An application of ground plane estimation combined with vanishing point estimation is also presented for robust pose estimation.
On routing optimization in wired and wireless networks
Authors: James Kurose, Don Towsley
Venue:  (2006)

This thesis studies routing optimization problems arising in wired (Internet) and wireless network systems. Given network capacities and traffic demands, routing optimization is used to find a set of paths to forward packets from source to destination so as to optimize a well-defined performance function (such as packet delay, or link utilization). We first investigate an Internet routing optimization problem. In the Internet, the traffic demands change over time and are difficult to measure. We investigate the problem of finding a "robust" set of routes that results in good average case performance over changing or uncertain traffic demands, while avoiding poor worst case performance for such traffic demands. We then investigate the joint sensing and routing optimization problem in resource-constrained (such as energy-constrained) wireless sensor networks. In contrast to the Internet where the link capacity is relatively fixed, wireless networks arguably have more flexibility in adjusting their network capacity by changing their resource allocation strategies. Our goal is to determine the energy allocation between data sensing (gathering data) and data communication (transmitting this sensed data), and the data routes to maximize the aggregate amount of information received at the data sinks. Due to the need to respond to local unpredictable environmental changes (e.g., in the amount of energy needed to realize a given link capacity as a result of environmental changes), and the lack of centralized control of wireless sensor networks, we are especially interested in a distributed solution to this problem.
Unit selection in a concatenative speech synthesis system using a large speech database
Authors: A. J. Hunt, A. W. Black
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 01 (1996)

One approach to the generation of natural-sounding synthesized speech waveforms is to select and concatenate units from a large speech database. Units (in the current work, phonemes) are selected to produce a natural realisation of a target phoneme sequence predicted from text which is annotated with prosodic and phonetic context information. We propose that the units in a synthesis database can be considered as a state transition network in which the state occupancy cost is the distance between a database unit and a target, and the transition cost is an estimate of the quality of concatenation of two consecutive units. This framework has many similarities to HMM-based speech recognition. A pruned Viterbi search is used to select the best units for synthesis from the database. This approach to waveform synthesis permits training from natural speech: two methods for training from speech are presented which provide weights which produce more natural speech than can be obtained by hand-tuning.
Déjà Vu: a user study using images for authentication
Authors: Rachna Dhamija, Adrian Perrig
Venue: Proceedings of the 9th conference on USENIX Security Symposium - Volume 9 (2000)

Current secure systems suffer because they neglect the importance of human factors in security. We address a fundamental weakness of knowledge-based authentication schemes, which is the human limitation to remember secure passwords. Our approach to improve the security of these systems relies on recognition-based, rather than recall-based authentication. We examine the requirements of a recognition-based authentication system and propose Déjà Vu, which authenticates a user through her ability to recognize previously seen images. Déjà Vu is more reliable and easier to use than traditional recall-based schemes, which require the user to precisely recall passwords or PINs. Furthermore, it has the advantage that it prevents users from choosing weak passwords and makes it difficult to write down or share passwords with others. We develop a prototype of Déjà Vu and conduct a user study that compares it to traditional password and PIN authentication. Our user study shows that 90% of all participants succeeded in the authentication tests using Déjà Vu while only about 70% succeeded using passwords and PINS. Our findings indicate that Déjà Vu has potential applications, especially where text input is hard (e.g., PDAs or ATMs), or in situations where passwords are infrequently used (e.g., web site passwords).
A secure architecture for the pseudonymization of medical data
Authors: Bernhard Riedl, Thomas Neubauer, Gernot Goluch, Oswald Boehm, Gert Reinauer, Alexander Krumboeck
Venue: Proceedings of the The Second International Conference on Availability, Reliability and Security (2007)

As aging and very expensive programs put more pressure on health and social care systems, an increase in the need for electronic healthcare records can be observed, because they promise massive savings and better clinical quality. However, patients and commissioners for data protection have legitimate concerns about the privacy and confidentiality of the stored data. Although the concept of pseudonymization allows an association with a patient only under specified and controlled circumstances, existing approaches have major vulnerabilities. This paper provides a new architecture for the pseudonymization of medical data that combines primary and secondary use in one system and thus provides a solution to vulnerabilities of existing approaches.
Hierarchical Linked Views
Authors: Robert F. Erbacher, Deborah A. Frincke
Venue: Proceedings of the Fifth International Conference on Coordinated and Multiple Views in Exploratory Visualization (2007)

Coordinated views have proven critical to the development of effective visualization environments. This results from the fact that a single view or representation of the data cannot show all of the intricacies of a given data set. Additionally, users will often need to correlate more data parameters than can effectively be integrated into a single visual display. Typically, development of multiple-linked views results in an adhoc configuration of views and associated interactions. The hierarchical model we are proposing is geared towards more effective organization of such environments and the views they encompass. At the same time, this model can effectively integrate much of the prior work on interactive and visual frameworks. Additionally, we expand the concept of views to incorporate perceptual views. This is related to the fact that visual displays can have information encoded at various levels of focus. Thus, a global view of the display provides overall trends of the data while focusing in on individual elements provides detailed specifics.