ppxscal/embedding_network huggingface dataset:
Algorithms and Results in Content-Based Visual Query of the Image Databases Resulting from Dicom Files
Authors: Liana Stanescu, Anca Ion, Dan Burdescu, Marius Brezovan
Venue: Proceedings of the Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (2006)

The article presents a series of algorithms used in the content-based visual query process on databases with color medical images extracted from DICOM files provided by medical tools used in the diagnosis area. Also, the paper presents a detailed study on several directions inside the content-based visual query process. In studying the content-based image query on color feature the transformation from RGB color space to HSV and the quantization at 166 colors was used. For computing the dissimilitude between the query and the target image three metrics were implemented: the Euclidian distance, the histograms intersection and the quadratic distance between histograms. The next study was made on content-based image query on color texture feature. In order to compute the color texture characteristics vectors two methods were implemented: the co-occurrence matrices and Gabor filters. The third studied problem was the content-based region query. For detecting color regions the color set back-projection algorithm was implemented. Statistic studies for this algorithm in keeping track of the patient evolution during the treatment of the peptic ulcers were made.
Automatic Generation of Prediction Questions during Program Visualization
Authors: Niko Myller
Venue: Electronic Notes in Theoretical Computer Science (ENTCS) (2007)

Based on previous research, it seems that the activities performed by and the engagement of the students matter more than the content of the visualization. One way to engage students to interact with a visualization is to present them with prediction questions. This has been shown to be beneficial for learning. Based on the engagement taxonomy and benefits of the question answering during the algorithm visualization, we propose to implement an automatic question generation into a program visualization tool, Jeliot 3. In this paper, we explain how the automatic question generation can be incorporated into the current design of Jeliot 3. In addition, we provide various example questions that could be automatically generated based on the data obtained during the visualization process.
Patch Review Processes in Open Source Software Development Communities: A Comparative Case Study
Authors: Jai Asundi, Rajiv Jayant
Venue: Proceedings of the 40th Annual Hawaii International Conference on System Sciences (2007)

In spite of the overwhelming success of Free/Open Source Software (F/OSS) like Apache and GNU/Linux, there is a limited understanding of the processes and methodologies that specify this form of software development. In this paper, we examine the process of patch reviews as a proxy for the extent of code-review in F/OSS projects. While existing descriptions of patch review processes are mostly narrative and based on individual experiences, we systematically analyze the email archives of five F/OSS projects to characterize this process. While doing so, we make a distinction between contributions (patches or review comments) by core members and casual contributors to grasp the role of core members in this process. Our results show that while the patch review processes are not exactly identical across various F/OSS projects, the core members across all projects play the vital role of gate-keepers to ensure a high level of review for submitted patches.
Creative learning technologies that enhance critical thinking skills in a smart E-classroom
Authors: J. F. Coppola
Venue: Proceedings of the 30th Annual Frontiers in Education - Volume 02 (2000)

Summary form only given. The paper discusses the second phase of a teaching/learning model utilizing interactive smart e-classrooms in higher education. This phase includes the administering of two tools: the California Critical Thinking Skills Test (CCTST), and a modified satisfaction survey. The pilot testing was issued during a 6-week session to students taught by the same professor and having identical course numbers. In the subsequent semester, the CCTST was administered during a 14-week semester session again, to 2 sections of the same course. In both instances, the experimental class met in a smart classroom while the control group only met in a traditional classroom with blackboards. Our goals were to increase critical thinking skills through a good facilitator, adequate planning, design, and proper support of interactive smart e-classrooms. Evaluations and informal interviews of the faculty and students utilizing the e-classrooms reflected a positive, enthusiastic outcome. However, research is still continuing to further breakdown the factors influencing critical thinking components such as analysis, evaluation, inference, deduction, and induction.
Frame erasure concealment using sinusoidal analysis-synthesis and its application to MDCT-based codecs
Authors: V. N. Parikh
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02 (2000)

This paper presents a frame erasure concealment algorithm based on sinusoidal analysis-synthesis and its application to MDCT-based codecs. When a frame is lost, sinusoidal analysis of the previously decoded and buffered signal is performed. The analysis gives a set of sinusoids, which are used to synthesize the waveform corresponding to the lost frame. When applied to an MDCT-based codec, the algorithm exploits the MDCT windowing and overlap-add synthesis mechanism to improve waveform synthesis in the lost frame. At frame erasure rates up to 10%, this algorithm significantly improves perceptual quality of the decoder output.
Vicarious Learning and (Virtual) Case-Based Teaching in Health Science Education
Authors: Richard Cox, Jianxiong Pang
Venue: Proceedings of the Twentieth IEEE International Symposium on Computer-Based Medical Systems (2007)

This paper describes PATSy, an established interactive case-based system that provides students with access to virtual patients. PATSy has recently been extended by the addition of vicarious learning (VL) support to users of one of its subject areas (speech and language therapy). Vicarious learning is the idea that people can and will learn through being given access to the learning experiences of others. The PATSy extension (VL-PATSy) is also described - it consists of a database of VL resources together with a rule-based delivery system. Each VL resource is a short video clip of two students (or a student and tutor) engaged in discussions about various aspects of diagnosing a patient's language disorder. PATSy and VL-PATSy represent an adaptive system for combining case-based teaching and learning with vicarious learning. The paper concludes with a description of an evaluation of VL's effectiveness that is currently underway.
An order based segmentation algorithm for low power implementation of digital filters
Authors: A. T. Erdogan
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 06 (2000)

The paper presents a new algorithm for low power implementation of digital filters. The algorithm reduces power consumption through a two phased strategy, which targets reducing the switched capacitance within the multiplier circuit. The first phase involves the segmentation of coefficients into more primitive components which could in turn be processed through a single shift and a more primitive multiplication operations. The second phase exploits the correlation among the new set of coefficients at the coefficient input of the multiplier for more reduction in switched capacitance. The paper describes the algorithm and its evaluation environment and provides results with a number of filter examples demonstrating up to 65% reduction in power compared to conventional filtering.
Q&A teaching/learning model as a new basis for developing educational software
Authors: D. N. Batanov
Venue: Proceedings of the 30th Annual Frontiers in Education - Volume 01 (2000)

The paper presents a Q&A model, which can be used as a basis for the development of educational software using component and framework based software development technology. The Q&A model is used to identify possible questions covering any subject based on Bloom's Taxonomy of learning in a cognitive domain (B.S. Bloom and D.R. Krathwohl, 1984). The proposed vertical framework is applied to an educational domain. It provides a specific pattern designed to be used with cognitive oriented subjects at a higher education level. The proposed framework is described in a document specification manner containing framework main component specifications, component interface definitions, and the pattern to link those components. An application implemented based on this framework is easily adopted, as it requires minimum changes to any learning and teaching environment: teachers can retain their styles of teaching and students can retain their styles of learning.
Automatically extracting nominal mentions of events with a bootstrapped probabilistic classifier
Authors: Cassandre Creswell, Matthew J. Beal, John Chen, Thomas L. Cornell, Lars Nilsson, Rohini K. Srihari
Venue: Proceedings of the COLING/ACL on Main conference poster sessions (2006)

Most approaches to event extraction focus on mentions anchored in verbs. However, many mentions of events surface as noun phrases. Detecting them can increase the recall of event extraction and provide the foundation for detecting relations between events. This paper describes a weakly-supervised method for detecting nominal event mentions that combines techniques from word sense disambiguation (WSD) and lexical acquisition to create a classifier that labels noun phrases as denoting events or non-events. The classifier uses boot-strapped probabilistic generative models of the contexts of events and non-events. The contexts are the lexically-anchored semantic dependency relations that the NPs appear in. Our method dramatically improves with bootstrapping, and comfortably outperforms lexical lookup methods which are based on very much larger hand-crafted resources.
A Dynamic Strategy Agent for Supply Chain Management
Authors: Mihai Stan, Bogdan Stan, Adina Magda Florea
Venue: Proceedings of the Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (2006)

The international Trading Agent Competition (TAC) provides a dynamic trading environment aimed at testing different strategies to be used in the design of autonomous agents for e-commerce and automated marketplaces. The TAC Supply Chain Management (TAC/SCM) scenario defines a complex six-player game with severely incomplete and imperfect information, and high-dimensional strategy spaces. The paper presents PhantAgent, a successful trading agent in the 2006 TAC/SCM competition. The paper discusses PhantAgent architecture, the basic ideas and strategies that were used in its design, and emphasizes that the unpredictable nature of the environment is the main challenge in building autonomous agents in real-world environments.
Estimating range, velocity, and direction with a radar array
Authors: A. Dogandzic
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 05 (1999)

We present maximum likelihood (ML) methods for active estimation of range (time delay), velocity (Doppler shift), and direction of a point target with a radar array in spatially correlated noise with unknown covariance. We consider structured and unstructured array response models and compute the Cramer-Rao bound (CRB) for the time delay, Doppler shift, and direction of arrival. We derive ambiguity functions for the above models and discuss the relationship between identifiability, ambiguity, and the Fisher information matrix.
Fighting Bugs: Remove, Retry, Replicate, and Rejuvenate
Authors: Michael Grottke, Kishor S. Trivedi
Venue: Computer (2007)

Combatting vastly different types of software bugs requires different strategies.
Structural Monitoring using Wireless Sensors and Controller Area Network
Authors: Gregory Jaman, Sajid Hussain
Venue: Proceedings of the Fifth Annual Conference on Communication Networks and Services Research (2007)

This paper investigates implementation and design issues for a heterogeneous network for structural monitoring. The proposed application uses wireless sensors and the controller area network (CAN) to provide energy efficient monitoring. The contributions include: implementation of the PIC18f4680 platform in TinyOS, creating a message protocol over CAN, and developing a sensor board.
Porting UNIX to windows NT
Authors: David G. Korn
Venue: Proceedings of the annual conference on USENIX Annual Technical Conference (1997)

The Software Engineering Research department at Murray Hill writes and distributes several widely used development tools and reusable libraries that are portable across virtually all UNIX platforms.[1] To enhance reuse of these tools and libraries, we want to make them available on systems running Windows NT[2] and/or Windows 95[3]. We did not want to support multiple versions of these libraries, and we wanted to minimize the amount of conditionally compiled code. This paper describes an effort of trying to build a UNIX interface layer on top of the Windows NT and Windows 95 operating system. The goal was to build an open environment rich enough to be both a good development environment and a suitable execution environment. This meant that the overhead needed to be small enough so that there was no incentive to program to the native operating system directly. The openness meant that the complete facilities of the native operating system were accessible through this environment. The result of this effort is a set of libraries, headers, and utilities that we collectively refer to as UWIN. UWIN contains nearly all the X/Open Release 4[4] headers, interfaces and commands. We discuss alternative porting strategies, commercial products, design goals, problems that had to be overcome, and the current status. Some performance measurements of the current system are presented here.
Ultra-automation and ultra-autonomy for software engineering management of ultra-large-scale systems
Authors: Philip M. Johnson
Venue: Proceedings of the 29th International Conference on Software Engineering Workshops (2007)

"Ultra-Large-Scale Systems: The Software Challenge of the Future" [10] identifies "Engineering Management at Large Scales" as an important focus of research. Engineering management for software typically involves measurement and monitoring of products and processes in order to maintain acceptable levels of important project characteristics including cost, quality, usability, performance, reliability, and so forth. Our research on software engineering measurement over the past ten years has exhibited a trend towards increasing automation and autonomy in the collection and analysis of process and product measures. In this position paper, we extrapolate from our work so far to consider what new forms of automation and autonomy might be required for software engineering management of ULS systems.
Some Recent Attempts to Simulate the Heider Balance Problem
Authors: Krzysztof Kulakowski
Venue: Computing in Science and Engineering (2007)

This article traces how research into the Heider balance has moved forward in the past 10 years, from a sociological problem about group divisions to a computational one.
Influencing Factors in Achieving Active Ageing
Authors: Richi Nayak, Laurie Buys, Jan Lovie-Kitchin
Venue: Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops (2006)

The Triple A project at QUT performed a national wide postal survey of older australian on a wide range of "work', "learning', "social', "spiritual', "emotional', "health and home', "life events' and "demographics' variables. With the use of predictive modelling techniques, this paper examines the impact of these interrelated variables on older people. The predictive modeling results successfully highlight interesting trends in the data and describe the significance of different factors in achieving active ageing.
Solving the XOR and parity N problems using a single universal binary neuron
Authors: Igor Aizenberg
Venue: Soft Computing - A Fusion of Foundations, Methodologies and Applications (2007)

A universal binary neuron (UBN) operates with complex-valued weights and a complex-valued activation function, which is the function of the argument of the weighted sum. The activation function of the UBN separates a whole complex plane onto equal sectors, where the activation function is equal to either 1 or &#x2212;1 depending on the sector parity (even or odd, respectively). Thus, the UBN output is determined by the argument of the weighted sum. This makes it possible the implementation of the nonlinearly separable (non-threshold) Boolean functions on a single neuron. Hence, the functionality of UBN is incompatibly higher than the functionality of the traditional perceptron. In this paper, we will consider a new modified learning algorithm for the UBN. We will show that classical nonlinearly separable problems XOR and Parity n can be easily solved using a single UBN, without any network. Finally, it will be considered how some other important nonlinearly separable problems may be solved using a single UBN.
Matched-field localization with many uncertain environmental parameters: experimental data results
Authors: B. F. Harrison
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02 (1996)

Matched-field source localization methods can be sensitive to environmental parameter mismatch. In this paper, a source localization method which is robust to environmental parameter uncertainty is presented. This method allows for a family of propagation models based on the uncertainty intervals of the environmental-parameters. It is a computationally efficient approximation to a full maximum-likelihood search which can be followed by a local exact maximum-likelihood search. The effectiveness of this method is demonstrated using experimental data from the Mediterranean Sea.
Pervasive E-health Services Using the DVB-RCS Communication Technology
Authors: Demosthenes Vouyioukas, Ilias Maglogiannis, Vasilios Pasias
Venue: Journal of Medical Systems (2007)

Two-way satellite broadband communication technologies, such as the Digital Video Broadcasting with Return Channel via Satellite (DVB-RCS) technology, endeavour to offer attractive wide-area broadband connectivity for telemedicine applications, taking into consideration the available data rates, Quality of Service (QoS) provision, survivability, flexibility and operational costs, even in remote areas and isolated regions where the terrestrial technologies suffer. This paper describes a wide-area tele-medicine platform, specially suited for homecare services, based on the DVB-RCS and Wi-Fi communication technologies. The presented platform combines medical data acquisition and transfer, patient remote monitoring and teleconference services. Possible operational scenarios concerning this platform and experimental results regarding tele-monitoring, videoconference and medical data transfer are also provided and discussed in the paper.
Creative multidisciplinary design workshop
Authors: C. Kilpatrick, B. D. Dent, C. Bartlett
Venue: Proceedings of the Frontiers in Education Conference, on 1995. Proceedings., 1995 - Volume 02 (1995)

Summary form only given. We have designed and conducted a pilot multidisciplinary design workshop for a team of graduate students. We are a multidisciplinary group of educators from computer science, geography and education. A primary motivation for our workshop was the reality that increasingly design and problem solving in engineering are complex, multidisciplinary tasks. Our shared interest is to better facilitate and educate multidisciplinary teams of students in group design and group design process. We conducted a pilot workshop in January, 1995, for a multidisciplinary group of six students, five graduates and one senior level undergraduate. Three were from geography (each with graduate training in cartography, geographic information systems (GIS) and/or map animation). Three were from computer science (each having taken one or more graduate courses in human computer interaction, graphics and/or visualization). The students were given the task of designing an interactive, software animation showing some aspect of the growth of the Internet.
The reacTable*: A Collaborative Musical Instrument
Authors: Martin Kaltenbrunner, Sergi Jorda, Gunter Geiger, Marcos Alonso
Venue: Proceedings of the 15th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises (2006)

The reacTable* is a novel multi-user electro-acoustic musical instrument with a tabletop tangible user interface. In this paper we will focus on the various collaborative aspects of this new instrument as well as on some of the related technical details such as the networking infrastructure. The instrument can be played both in local and remote collaborative scenarios and was designed from the very beginning to serve as a musical instrument for several simultaneous players.
Building a Dependable Messaging Infrastructure for Electronic Government
Authors: Elsa Estevez, Tomasz Janowski
Venue: Proceedings of the The Second International Conference on Availability, Reliability and Security (2007)

The paper presents the development of a dependable messaging infrastructure for Electronic Government. Based on a few simple concepts like messages, members and channels, the infrastructure was developed to facilitate the exchange of messages by government agencies in a dependable and automated way. The dependability requirement was addressed on various levels: design, development and application. Considering design, the infrastructure comprises a small core offering plain messaging services, a repository of extensions to provide additional services, and a development framework to rigorously specify, implement and verify messaging extensions. Considering development, the infrastructure was build through rigorous use of modeling and analysis in various development stages. Considering applications, government agencies can use the infrastructure to exchange messages through carefully managed logical communication channels and the prudent use of necessary extensions, including extensions to implement required security measures. The paper presents the development and explains why the outcome satisfies the dependability requirement.
Modeling individual multifactor estimation using GMDH elements and genetic algorithms
Authors: A. O. Ovezgel'Dyev, K. E. Petrov
Venue: Cybernetics and Systems Analysis (2007)

A method is proposed for comparative structural-parametric identification of a model of individual multifactor estimation. An experimental solution to this problem is obtained using evolutionary methods.
Visual Surveillance for Aircraft Activity Monitoring
Authors: D. Thirde, M. Borg, J. Ferryman, V. Valentin
Venue: Proceedings of the 14th International Conference on Computer Communications and Networks (2005)

This paper presents a visual surveillance system for the automatic scene interpretation of airport aprons. The system comprises two modules Scene Tracking and Scene Understanding. The Scene Tracking module, comprising a bottom-up methodology, and the Scene Understanding module, comprising a video event representation and recognition scheme, have been demonstated to be a valid approach for apron monitoring.