ppxscal/embedding_network huggingface dataset:
Supervised classification for synthetic aperture radar image
Authors: X. Dupuis
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06 (1999)

This paper deals with the supervised classification of synthetic aperture radar (SAR) images. Our approach is based on two criteria, which explicitly take into account the intensity of the SAR image and the neighborhood classes, similarly to the Pots model, but weighted by a discontinuity map. The high level of noise involves numerous classification errors. We classify a restored image filtered with a well-adapted algorithm to clustering. Moreover, we isolate the texture of SAR images in order to help the classification. Finally, we present results on real SAR images.
Analysis of one-dimensional Helmholtz equation with PML boundary
Authors: Taeyoung Ha, Imbunm Kim
Venue: Journal of Computational and Applied Mathematics (2007)

In this paper, the linear conforming finite element method for the one-dimensional Berenger's PML boundary is investigated and well-posedness of the given equation is discussed. Furthermore, optimal error estimates and stability in the L^2 or H^1-norm are derived under the assumption that h, h^2@w^2 and h^2@w^3 are sufficiently small, where h is the mesh size and @w denotes a fixed frequency. Numerical examples are presented to validate the theoretical error bounds.
Enterprise Integration Strategy of Interoperability
Authors: Raymond Wu
Venue: Proceedings of the First Asia International Conference on Modelling & Simulation (2007)

Decision, analysis and design are key steps inbuildingthe skeleton of enterpriseintegration. We dealwith the design stage by introducingthe micro processand interconnectivity concept asthe foundation of theservice component design,this work isbased on thecommon component concept we implemented in previousresearch and on the component-based design foundation.
Beyond PBL: Preparing Graduates for Professional Practice
Authors: Jocelyn Armarego
Venue: Proceedings of the 20th Conference on Software Engineering Education & Training (2007)

An analysis of practitioner studies concludes that a gap exists between industry expectations of IT graduates and formal education, in particular in non-technical skills and knowledge. This paper reports on the final cycle of an Action Research project to examine and implement alternative learning environments for Software Engineering. A model based on reflective practice, founded on the evaluation of previous cycles applying Cognitive Apprenticeship and Problem-based Learning, was developed and implemented. This study looked at the alignment between student approaches to learning and the environment developed, in particular student disposition towards deep or surface learning. Although evaluation shows the student cohort achieved significantly higher scores in their assessment that those of previous offerings, it was notable that students who reported themselves as adopting surface approaches were less comfortable with the environment. However, they still exhibited deep learning characteristics when observed in a subsequent course. While an understanding of student learning is fundamental in developing learning environments, alignment between discipline and learning is also critical in educating competent practitioners. Results of this study show that students placed in an environment that enables them to model professional practice, and reflect on that modelling, should be much better prepared for the workplace.
Evaluation of design for reliability techniques in embedded flash memories
Authors: Benoît Godard, Jean-Michel Daga, Lionel Torres, Gilles Sassatelli
Venue: Proceedings of the conference on Design, automation and test in Europe (2007)

Non-volatile Flash memories are becoming more and more popular in Systems-on-Chip (SoC). Embedded Flash (eFlash) memories are based on the well-known floating-gate transistor concept. The reliability of such type of technology is a growing up issue for embedded systems; endurance and retention are of course the main features to analyze. To enhance memory reliability current eFlash memories designs use techniques such as Error Correction Code (ECC), Redundancy or Threshold Voltage (VT) Analysis. In this paper, a memory model to evaluate the reliability of eFlash memory arrays under distinct enhancement schemes is developed.
Lectrons or lectures - which is the best for whom?
Authors: B. Crynes
Venue: Proceedings of the 30th Annual Frontiers in Education - Volume 02 (2000)

The immediate goal of this study was to compare a section of 27 students learning by a CD-ROM-Web-self-paced method against a section of 52 students learning by the traditional lecture method. Statistical results are presented comparing achievement of learning objectives, motivation, learning styles, and student characteristics. The experimental students demonstrated strong self-paced learning attributes. Students electing the experimental section had a need for freedom in learning. There was no preference in learning styles between the two groups for the data that was statistically reliable (sensing, active and sequential styles). The experimental class was identically successful in achieving the learning objectives as the traditional class.
Multimedia based analog and digital filter design
Authors: D. Baez-Lopez
Venue: Proceedings of the 26th Annual Frontiers in Education - Volume 01 (1996)

We describe a multimedia software package used to design analog and digital filters. This package needs Windows to operate and therefore, it is called WinFiltros. Several examples are included showing how it works. With WinFiltros, any student or practising engineer should be able to complete an analog or digital filter design in a few seconds, giving more attention to what can be done with a filter instead of getting lost in endless cumbersome numerical calculations.
Performance analysis of MPI collective operations
Authors: Jelena Pješivac-Grbović, Thara Angskun, George Bosilca, Graham E. Fagg, Edgar Gabriel, Jack J. Dongarra
Venue: Cluster Computing (2007)

Previous studies of application usage show that the performance of collective communications are critical for high-performance computing. Despite active research in the field, both general and feasible solution to the optimization of collective communication problem is still missing. In this paper, we analyze and attempt to improve intra-cluster collective communication in the context of the widely deployed MPI programming paradigm by extending accepted models of point-to-point communication, such as Hockney, LogP/LogGP, and PLogP, to collective operations. We compare the predictions from models against the experimentally gathered data and using these results, construct optimal decision function for broadcast collective. We quantitatively compare the quality of the model-based decision functions to the experimentally-optimal one. Additionally, in this work, we also introduce a new form of an optimized tree-based broadcast algorithm, splitted-binary. Our results show that all of the models can provide useful insights into various aspects of the different algorithms as well as their relative performance. Still, based on our findings, we believe that the complete reliance on models would not yield optimal results. In addition, our experimental results have identified the gap parameter as being the most critical for accurate modeling of both the classical point-to-point-based pipeline and our extensions to fan-out topologies.
Re-examining IT Enabled Change with a New Model of the Information Field: The Tiger Creek Case
Authors: Xiaozhong Liu, Robert Benjamin, Ping Zhang
Venue: Proceedings of the 40th Annual Hawaii International Conference on System Sciences (2007)

This paper demonstrates the application of a new model of the Information Field (I-Model) (Zhang & Benjamin 2006) to deconstructing case studies in the information field so that they can be easily analyzed, understood and compared. The Expense Tracking System at Tiger Creek case (Zuboff & Bronsema 1984) is selected owing to it beings historically important in illustrating various issues brought by informated change (Zuboff 1989), and changes in the traditional command and control process (Benjamin & Levinson 1993). Our re-examination of the case using the Imodel highlights the dynamics and complex issues resulted when access to information modifies the power relationships in organizations that seem ever present in IT implementations. It also sheds new insight on research in IT-enabled change. We conclude that the I-model can provide a framework for analyzing other cases in the information field.
Beat noise in a non-coherent optical CDMA system
Authors: T. Demeechai, A. B. Sharma
Venue: Proceedings of the The 8th International Conference on Communication Systems - Volume 02 (2002)

In optical CDMA systems, many optical waves are simultaneously incident on each receiver photodiode. Since the photodiode also acts as a square-law detector to the optical fields, beat noise can occur in the passband of the receiver. We show that considerable amount of beat noise can occur in even a non-coherent system.
Call Admission and Handover in Heterogeneous Wireless Networks
Authors: Ken Murray, Dirk Pesch
Venue: IEEE Internet Computing (2007)

Today's mobile communication networks support not just simple mobile voice and data services but also access to mobile Internet-based services with varying bandwidth and quality-of-service requirements. An increasing demand for wireless access to packet-based services has, in turn, driven the need for call admission and intersystem handover control strategies to make network roaming more seamless. The approach proposed here focuses on prioritization by implementing role-based network access and system-state awareness via network capacity.
A Comparative Analysis of Personalization Techniques for a Mobile Application
Authors: Petteri Nurmi, Marja Hassinen, Kun Chang Lee
Venue: Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops - Volume 02 (2007)

In order to adapt to the environment of the user, devices have to be able to deduce the user's goals and information needs. In mobile environments, the goals and information needs of the user potentially depend on the user's situation. Existing work on context-dependent user modeling has mainly focused on specific application domains, most notably location-based services such as tourist guides, or on technological enablers. What is currently lacking is an understanding of when and why different personalization techniques work or fail. In this paper, we compare different classification algorithms on data collected from a mobile application. Our results show that methods that are able to learn tree-structured dependencies seem good candidates for personalization due to (i) the inherent hierarchical nature of context information and (ii) the fast running time of the algorithms. We also suggest two future research issues: (1) obtaining a better understanding of the nature of dependencies in contextual data, and (2) using collaborative user modeling techniques to improve the predictive power of user models.
A transform domain approach to spatial domain image scaling
Authors: N. Merhav
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 04 (1996)

Straightforward techniques for spatial domain scaling of compressed video via decompression and re-compression are computationally expensive. We describe an alternative approach wherein the compressed stream is processed in the compressed, DCT domain without explicit decompression and spatial domain scaling, so that the output compressed stream corresponds to a down-sampled image and it conforms the standard syntax of 8/spl times/8 blocks. We propose computation schemes for scaling factors of 2, 3 and 4 that are applicable to any DCT-based compression method. Worst-case estimates of computation savings very between 37% and 50% depending on the scaling factor. For typically sparse DCT blocks, the reduction in computations can be as much as 80%. A byproduct of the proposed approach is improvement in arithmetic precision.
Towards Model Transformation Generation By-Example
Authors: Manuel Wimmer, Michael Strommer, Horst Kargl, Gerhard Kramler
Venue: Proceedings of the 40th Annual Hawaii International Conference on System Sciences (2007)

With the advent of Model-Driven Engineering (MDE) several model transformation approaches and languages have been developed in the previous 5 years. Most of these existing approaches are metamodel-based with metamodels representing both an abstract syntax of the corresponding modeling language and also a data structure for storing models. However, this implementation specific focus makes it difficult for modelers to develop model transformations, because metamodels do not necessarily define all language concepts explicitly which are available for notation purposes. Therefore, we propose a by-example approach for defining inter-model mappings representing semantic correspondences between concrete domain models, which is more user-friendly, then directly specifying model transformation rules or mappings based on the abstract syntax. The intermodel mappings between domain models can be used to generate model transformation rules, by-example, taking into account the already defined mapping between abstract and concrete syntax elements. With this approach the user's knowledge about the notation of the modeling language is sufficient for the definition of model transformations regarding semantic correspondences. Hence, no detailed knowledge about the metamodel and the model transformation language is required.
A partially decodable code for scalable compression of super high definition images
Authors: M. Hasegawa
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06 (1999)

Multimedia communication systems using super high definition (SHD) images are widely desired in various communities such as medical imagery, digital museum and libraries and so on. There are, however, many problems in SHD image communication systems, because of high pixel accuracy and high resolution. We considered indispensable functions to be realized in SHD image application systems. These are summarized to three items, i.e. reversibility, scalability and progressibility. This paper proposes a partially decodable coding method for realizing the scalability function. That is to say, when a whole image cannot be displayed on the monitor, a reduced image is displayed at first to select a region of interest. Then image data of the selected region is extracted from the code stream. For this purpose, a kind of partially decodable code should be introduced. We propose a new partially decodable coding method based on Golomb-Rice code.
Motion Planning of Encountered-type Haptic Device for Multiple Fingertips Based on Minimum Distance Point Information
Authors: Ken SHIGETA, Yuji SATO, Yasuyoshi YOKOKOHJI
Venue: Proceedings of the Second Joint EuroHaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (2007)

A motion planning algorithm is proposed for an encountered-type haptic device that can simulate grasping tasks by multiple fingertips. The algorithm determines the location of each surface patch of the device from the weighted mean of the all minimum distance point information on the virtual objects from each fingertip of the user. By carefully designing the weights, the proposed algorithm can work for not only convex objects but also concave ones. The proposed pathplanning algorithm is also designed to avoid any collision with the user in transition phases between subsequent contacts by introducing a prohibited area around the user's hand. The effectiveness of the proposed algorithm is confirmed by simulations.
Statistical models and analysis techniques for learning in relational data
Authors: David Jensen
Venue:  (2006)

Many data sets routinely captured by organizations are relational in nature---from marketing and sales transactions, to scientific observations and medical records. Relational data record characteristics of heterogeneous objects and persistent relationships among those objects (e.g., citation graphs, the World Wide Web, genomic structures). These data offer unique opportunities to improve model accuracy, and thereby decision-making, if machine learning techniques can effectively exploit the relational information. This work focuses on how to learn accurate statistical models of complex, relational data sets and develops two novel probabilistic models to represent, learn, and reason about statistical dependencies in these data. Relational dependency networks are the first relational model capable of learning general autocorrelation dependencies, an important class of statistical dependencies that are ubiquitous in relational data. Latent group models are the first relational model to generalize about the properties of underlying group structures to improve inference accuracy and efficiency. Not only do these two models offer performance gains over current relational models, but they also offer efficiency gains which will make relational modeling feasible for large, relational datasets where current methods are computationally intensive, if not intractable. We also formulate of a novel analysis framework to analyze relational model performance and ascribe errors to model learning and inference procedures. Within this framework, we explore the effects of data characteristics and representation choices on inference accuracy and investigate the mechanisms behind model performance. In particular, we show that the inference process in relational models can be a significant source of error and that relative model performance varies significantly across different types of relational data.
Design of signal-adapted FIR paraunitary filter banks
Authors: P. Moulin
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 03 (1996)

The design of a M-band FIR paraunitary filter bank adapted to input signal statistics is considered. The adaptation criterion is energy compaction. A simple, efficient technique for computing globally optimal filter banks of arbitrary, finite degree is presented.
Detecting format string vulnerabilities with type qaualifiers
Authors: Umesh Shankar, Kunal Talwar, Jeffrey S. Foster, David Wagner
Venue: Proceedings of the 10th conference on USENIX Security Symposium - Volume 10 (2001)

We present a new system for automatically detecting format string security vulnerabilities in C programs using a constraint-based type-inference engine. We describe new techniques for presenting the results of such an analysis to the user in a form that makes bugs easier to find and to fix. The system has been implemented and tested on several real-world software packages. Our tests show that the system is very effective, detecting several bugs previously unknown to the authors and exhibiting a low rate of false positives in almost all cases. Many of our techniques are applicable to additional classes of security vulnerabilities, as well as other type- and constraint-based systems.
Wigner-type a-b and time-frequency analysis based on conjugate operators
Authors: F. Hlawatsch
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 03 (1996)

We extend the Wigner distribution (WD) to conjugate unitary operators A/sub /spl alpha// and B/sub /spl beta//. The resulting "AB-WD" is defined both as an a-b representation and as a time-frequency representation. Important properties and relations of the WD are generalized to the AB-WD.
Making commodity PCs fit for signal processing
Authors: Michael Ismert
Venue: Proceedings of the annual conference on USENIX Annual Technical Conference (1998)

Commodity PCs are on the verge of being capable of performing a variety of signal processing tasks that previously required special purpose hardware. Advances in the speed and width of their processors and internal buses allow these machines to manipulate data at rates that would allow their users to interact with a diverse range of sampled media, such as the raw RF spectrum and ultrasound. However, today's PCs lack an I/O system capable of delivering the appropriate bandwidth to these signal processing applications. These applications demand high continuous throughput I/O that smooths the inter-sample jitter introduced by interrupts, I/O bus latency, scheduling latency, etc. This paper presents a system that provides this functionality. Our system is composed of two tightly integrated parts: a PCI device that provides high raw I/O bus throughput and operating system enhancements to manage the device and provide low overhead transfers across the boundary between kernel and user space. The performance is excellent, providing up to 512 Mbits/sec of continuous throughput for an application. A description of both parts of the system is given, along with performance measurements, and a brief description of an application.
A Near-Real-Time Behaviour Control Framework
Authors: Bastian Preindl, Alexander Schatten
Venue: Proceedings of the The Second International Conference on Availability, Reliability and Security (2007)

The NuBric behaviour control framework (BCF) is a near-real-time framework written entirely in Java based on the paradigms of both role based access control (RBAC) and policy based access control (PBAC) which has been designed to be open and extensible by third-party-modules. Its purpose is to protect resources of any kind by sessionspecific access restriction and behaviour control. In short a user or process has to preliminarily connect to the framework and the framework decides whether the user or process is permitted to access the protected resource or not. If the permission is granted the user or process is able to directly access the resource but will be controlled and regulated during the access, so NuBric acts as behaviour control between user or process (session) and resource. NuBric by design does not protect access to objects in memory nor is it deployable within another application framework. It constitutes a standalone near-realtime framework to restrict access to external, frameworkindependent resources by controlling and triggering external, framework-independent facilities.
Linux emulation for SCO
Authors: Ronald Joe Record, Michael Hopkirk, Steve Ginzburg
Venue: Proceedings of the annual conference on USENIX Annual Technical Conference (1998)

This paper describes some of the rationale and implementation decisions for lxrun, an Intel Linux emulator, plus how to get, build, configure and run it; what some of the current and future development issues and enhancements are and the current status of the project. There is not much difference between the execution environment required by Linux binaries and binaries for other Intel UNIX platforms, the main one being the way in which system calls are handled. For example, in Linux an "int $0×80" instruction is used, which jumps to the system-call-handling portion of the Linux kernel. On SCO systems, "int $0×80" is an unused vector and therefore causes a general protection trap resulting in a SIGSEGV signal. Lxrun intercepts these signals and calls the SCO equivalent of the system call that the Linux program attempted. It also remaps some ioctls, flags, return values and error codes. Using lxrun, a Linux binary can be run on a non-Linux platform with little performance penalty. Lxrun can also take advantage of the lower overhead in some Linux libraries, occasionally resulting in improved performance over native binaries. No kernel modifications are necessary.