ppxscal/embedding_network huggingface dataset:
Software-aided reliability education
Authors: J. Marcos
Venue: Proceedings of the Frontiers in Education Conference, 2001. on 31st Annual - Volume 01 (2001)

Electronic reliability education is part of the curriculum in the School of Telecommunication Engineering at the University of Vigo. Good education on this topic can only be provided with practical training; therefore, our course on reliability includes fieldwork in collaboration with companies from the automotive sector. Students collect data, elaborate them, and obtain the reliability of manufactured systems. Because of time constraints in the course, the work was lacking of a more detailed study of the expected reliability. In an effort to improve the educative process, a reliability prediction tool was developed. The learning curve to use the tool is very fast, while including all the key ideas that students need to assimilate in this course. In this paper, the added value that this tool has introduced in our reliability course is presented, as well as an overview on learned lessons and future challenges on reliability education at our University.
An extension of the Cayley-Sylvester formula
Authors: L. Manivel
Venue: European Journal of Combinatorics (2007)

We extend the Cayley-Sylvester formula for symmetric powers of SL"2(C)-modules to plethysms defined by rectangle partitions. Ordinary partitions are replaced by plane partitions, and an extension of the Hermite reciprocity law follows.
Hierarchical pipelining and folding of QRD-RLS adaptive filters
Authors: L. Gao
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 06 (2000)

A novel approach for hierarchically pipelining and folding the CORDIC-based systolic triangular array of a QRD-RLS filter to a small fixed size array is presented. With the annihilation-reordering look-ahead transformation, the iteration bound of a QRD-RLS filter can be reduced proportional to the look-ahead level. This paper presents, for the first time, how to pipeline and fold such a look-ahead transformed QRD-RLS array in a hierarchical way. Compared to the previously published mapping algorithms, this approach has low complexity and can result in a physical array of any size. Therefore, it is of great significance for ASIC chip designs and high-level synthesis. Besides, it is shown how a combination of look-ahead, pipelining and folding transformations can lead to an increase in throughput, a large reduction in area or a great saving in power consumption.
Feature Selection on High Throughput SELDI-TOF Mass-Spectrometry Data for Identifying Biomarker Candidates in Ovarian and Prostate Cancer
Authors: Claudia Plant, Melanie Osl, Bernhard Tilg, Christian Baumgartner
Venue: Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops (2006)

High-throughput mass-spectrometry screening has the potential of superior results in detecting early stage cancer than traditional biomarkers. Proteomic data poses novel challenges for data mining, especially concerning the curse of dimensionality. In this paper, we present a 3-step feature selection framework combining the advantages of efficient filter and effective wrapper techniques. We demonstrate the performance of our framework on two SELDITOF- MS data sets for identifying biomarker candidates in ovarian and prostate cancer.
Experience with a domain specific language for form-based services
Authors: David Atkins, Thomas Ball, Michael Benedikt, Glenn Bruns, Kenneth Cox, Peter Mataga, Kenneth Rehor
Venue: Proceedings of the Conference on Domain-Specific Languages on Conference on Domain-Specific Languages (DSL), 1997 (1997)

A form-based service is one in which the flow of data between service and user is described by a sequence of query/response interactions, or forms. A form provides a user interface that presents service data to the user, collects information from a user and returns it to the service. Mawl is a domain-specific language for programming form-based services in a device-independent manner. We describe our experience with mawl's form abstraction, which is the means for separating application logic and user interface description, and show how this simple abstraction addresses six issues in service creation, analysis, and maintenance: compile-time guarantees, implementation flexibility, rapid prototyping, support for multiple devices, composition of services, and usage analysis.
A Multi-Agent Framework to Join DTV and Virtual Communities
Authors: Federico Bergenti, Lorenzo Lazzari, Agostino Poggi
Venue: Proceedings of the 15th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises (2006)

In this paper present a multi-agent framework for integrating the emergent technology of the interactive digital television with new types of services to support the cooperative activities of different types of virtual communities. As an example of such kind of service we present a community game, in which we have a real-time interaction between two DTV users, and an online auction, in which although the interaction is asynchronous.
Algorithms for blind equalization with multiple antennas based on frequency domain subspaces
Authors: J. Gunther
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 05 (1996)

This paper considers the problem of recovering an unknown signal transmitted over an unknown (but stationary) multipath channel, and received by a narrowband array with unknown calibration. Unlike previously proposed multichannel blind equalization techniques, the methods described herein employ a model based on physical channel parameters rather than unstructured multiple output FIR filters. The algorithms exploit the structure of the signal and noise subspaces of the array output data when transformed to the frequency domain. Two approaches are presented. The first is an ESPRIT-like solution that provides a closed-form, but suboptimal, blind signal estimate. The second is based on maximum likelihood and, though requiring a search, is easily initialized with the ESPRIT solution. A mathematical development of the two algorithms is given, and their advantages and disadvantages relative to other currently available techniques are discussed.
Practical data-centric storage
Authors: Cheng Tien Ee, Sylvia Ratnasamy, Scott Shenker
Venue: Proceedings of the 3rd conference on Networked Systems Design & Implementation - Volume 3 (2006)

Most data retrieval mechanisms in wireless sensor networks adopt a data-centric approach, in which data is identified directly by name rather than through the location of the node on which it is stored. Initial data-centric methods, such as directed diffusion and TinyDB/TAG, focused on the conveyance of data. One of the advantages of these algorithms is that they do not require point-to-point routing, which has proved to be difficult and costly to implement in wireless sensor networks, and instead require only the simpler and more robust tree-construction primitives. Some recent data retrieval proposals have extended the data-centric paradigm to storage. Data-centric storage uses in-network placement of data to increase the efficiency of data retrieval in certain circumstances. Unfortunately, all such proposals have been based on point-to-point routing, and therefore have faced a significant deployment barrier. In this paper we hope to make data-centric storage more practical by removing the need for point-to-point routing. To that end, we propose pathDCS, an approach to data-centric storage that requires only standard tree construction algorithms, a primitive already available in many real-world deployments. We describe the design and implementation of pathDCS and evaluate its performance through both high-level and packet-level simulations, as well as through experiments on a sensor testbed.
Design of bossed silicon membranes for high sensitivity microphone applications
Authors: P. Martins, S. Beclin, S. Brida, S. Metivet, O. Stojanovic, C. Malhaire
Venue: Microsystem Technologies (2007)

This paper deals with the design optimization of new high sensitivity microphones in silicon on insulator (SOI) technology for gas sensing applications. A novel geometry of bossed silicon membranes used as mechanical transducer has been studied by finite element modelling. Device fabrication is achieved from SOI substrates through deep backside anisotropic etching and shallow front side reactive ion etching to define a bossed sensing membrane with two reinforced areas. Thus, the influence of thin film stresses on the device performance is largely decreased. Polysilicon gauges are located on the reinforced areas to get a better linearity in pressure.
A unified alert fusion model for intelligent analysis of sensor data in an intrusion detection environment
Authors: Rayford B. Vaughn
Venue:  (2006)

The need for higher-level reasoning capabilities beyond low-level sensor abilities has prompted researchers to use different types of sensor fusion techniques for better situational awareness in the intrusion detection environment. These techniques primarily vary in terms of their mission objectives. Some prioritize alerts for alert reduction, some cluster alerts to identify common attack patterns, and some correlate alerts to identify multi-staged attacks. Each of these tasks has its own merits. Unlike previous efforts in this area, this dissertation combines the primary tasks of sensor alert fusion, i.e., alert prioritization, alert clustering and alert correlation into a single framework such that individual results are used to quantify a confidence score as an overall assessment for global diagnosis of a system's security health. Such a framework is especially useful in a multi-sensor environment where the sensors can collaborate with or complement each other to provide increased reliability, making it essential that the outputs of the sensors are fused in an effective manner in order to provide an improved understanding of the security status of the protected resources in the distributed environment. This dissertation uses a possibilistic approach in intelligent fusion of sensor alerts with Fuzzy Cognitive Modeling in order to accommodate the impreciseness and vagueness in knowledge-based reasoning. We show that our unified architecture for sensor fusion provides better insight into the security health of systems. A new multilevel alert clustering method is developed to accommodate inexact matching in alert features and is shown to provide relevance to more alerts than traditional exact clustering. Alert correlation with a new abstract incident modeling technique is shown to deal with scalability and uncertainty issues present in traditional alert correlation. New concepts of dynamic fusion are presented for overall situation assessment, which (a) in case of misuse sensors, combines results of alert clustering and alert correlation, and (b) in case of anomaly sensors, corroborates evidence from primary and secondary sensors for deriving the final conclusion on the systems' security health.
Physiological parameters and learning
Authors: R. W. Brown
Venue: Proceedings of the 30th Annual Frontiers in Education - Volume 02 (2000)

Whilst much attention is paid to the quality and the avenues of presentation of educational material, there seems to be little consideration given to human physiological processes of information ingestion and assimilation when planning the educational experience. Human visual and aural information input is highly compressed in a lossy process. Subjective perceptions relating to past experiences are stored rather than actual data. Data assimilation rate is stunningly low in terms of learning, making many classroom endeavours futile. Information is stored according to its nature, in localised areas of the brain, and involves the consumption and eventual localised exhaustion of reagents such as calcium, sugar and oxygen. Periodic relief is required for replenishment. Presenting the information in different ways through different channels augments retention and understanding. Repetition is essential to firmly establish neural links or memory. In this paper, a brief review of such factors and how they might be considered in designing learning experiences is presented.
Evaluating digital libraries with webmetrics
Authors: Michael Khoo, Robert A. Donahue
Venue: Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries (2007)

We report preliminary lessons from a year of webmetrics research with two digital libraries. Despite the apparent 'plug-and-play-and-report' nature of webmetrics tools, much work was required to extract useful data from the tools used.
Effect of JPEG compression on image watermark detection
Authors: Minghui Xia
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03 (2001)

Compression on a watermarked image can significantly affect the detection of the embedded watermark. To show that a particular watermarking scheme is robust against compression, simulation is often relied upon. In this paper, we investigate this problem analytically. We first characterize the noise introduced by JPEG compression. We then propose a maximum a posteriori (MAP) detector, analyze its performance, and demonstrate that it has superior performance over the correlation detector.
Broad-band power amplifier with an improved doubly tapered periodic bandgap PBG structure for harmonic tuning
Authors: Man-Long Her, Yi-Chyun Chiou, Yu-Zhen Wang, Yu-Lin Wang, Pou-Tou Sun
Venue: Proceedings of the The 8th International Conference on Communication Systems - Volume 01 (2002)

We have designed and implemented three class A GaAs field-effect transistor (FET) power amplifiers. Two of these three cases have a 50 /spl Omega/ microstrip line utilizing an improved doubly tapered and a singly tapered periodic bandgap (PBG) structure for harmonic tuning respectively, while the other has only a 50 /spl Omega/ straight line. The doubly tapered PBG structure has more significantly improvement in output power and power added efficiency (PAE) than a singly tapered case and also has the ability to terminate the second and third harmonics. Measurement shows the improvement of output power and PAE with 0.5 dB and 4 % respectively by using a doubly PBG structure compared with a singly tapered one, and with 0.8 dB and 7 % improvement without utilizing a PBG structure.
Blind maximum SINR receiver for the DS-CDMA downlink
Authors: D. T. M. Slock
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 05 (2000)

We address the problem of downlink interference rejection in a DS-CDMA system. Periodic orthogonal Walsh-Hadamard sequences spread different users' symbols followed by scrambling by a symbol aperiodic base-station specific overlay sequence. The point-to-point propagation channel from the cell-site to a certain mobile station is the same for all downlink signals (desired user as well as the intracell interference). Orthogonality of the underlying Walsh-Hadamard sequences is destroyed by multipath propagation, resulting in multiuser interference if a coherent combiner (the RAKE receiver) is employed. In this paper, we propose a blind linear equalization algorithm which equalizes for the common downlink channel, thus rendering the user signals orthogonal again. A simple code matched filter subsequently suffices to cancel the multiple access interference (MAI) from intracell users. It is shown that the receiver maximizes the signal-to-interference plus noise ratio (SINR) at its output.
Information geometry of maximum partial likelihood estimation for channel equalization
Authors: Jianhua Xuan
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 06 (1996)

Information geometry of partial likelihood is constructed and is used to derive the em-algorithm for learning parameters of a conditional distribution model through information-theoretic projections. To construct the coordinates of the information geometry, an expectation maximization (EM) framework is described for the distribution learning problem using the Gaussian mixture probability model. It is shown that the information-geometric em-algorithm is equivalent to EM to establish its convergence. The algorithm is applied to channel equalization by distribution learning and its rapid convergence characteristics are demonstrated through simulation studies.
Communication Models in Networks-on-Chip
Authors: Everton Carara, Aline Mello, Fernando Moraes
Venue: Proceedings of the 18th IEEE/IFIP International Workshop on Rapid System Prototyping (2007)

Networks-on-chip, or NoCs, are one communication architecture candidate to be used in present and futures SoCs, due to its scalability, reusability and performance. The focus of this paper is the analysis of IP communication models in NoCs. Employing standard external interfaces, as OCP, is recommended to enable the use of NoCs by different IP core providers. The second point related to reusability is the IP cores communication model. Two basic communication models are considered in this work: NUMA and NORMA. The goal of this work is to evaluate the pros and cons of each communication model, in terms of network interface complexity, area and performance.
Efficient computation of the worst-delay corner
Authors: Luis Guerra e Silva, L. Miguel Silveira, Joel R. Phillips
Venue: Proceedings of the conference on Design, automation and test in Europe (2007)

Timing analysis and verification is a critical stage in digital integrated circuit design. As feature sizes decrease to nanometer scale, the impact of process parameter variations in circuit performance becomes extremely relevant. Even though several statistical timing analysis techniques have recently been proposed, as a form of incorporating variability effects in traditional static timing analysis, corner analysis still is the current timing signoff methodology for any industrial design. Since it is impossible to analyze a design for all the process corners, due to the exponential size of the corner space, the design is usually analyzed for a set of carefully chosen corners, that are expected to cover all the worst-case scenarios. However, there is no established systematic methodology for picking the right worst-case corners, and this task usually relies on the experience of design and process engineers, many times leading to over design. This paper proposes an efficient automated methodology for computing the worst-delay process corners of a digital integrated circuit, given a linear parametric characterization of the gate and interconnect delays.
Technology for non-technical students: adventures on the other side of campus
Authors: J. A. Pearce
Venue: Proceedings of the 30th Annual Frontiers in Education - Volume 01 (2000)

The average engineering major knows more about the humanities than the average humanities major knows about science and engineering. As engineering educators we too seldom interact with students from nontechnical majors. This gives us a narrow perspective and exacerbates the problem. I have designed and offered a course centered on the development of technology and its affect on society and public policy. We study the effects of steam power and electrification and draw parallels with recent technological developments. The course has been presented twice and is open to students from engineering, science, business, arts and humanities majors. Substantial thought must be given to class topics and exercises appropriate for this diverse group of students.
Mapping internet sensors with probe response attacks
Authors: John Bethencourt, Jason Franklin, Mary Vernon
Venue: Proceedings of the 14th conference on USENIX Security Symposium - Volume 14 (2005)

Internet sensor networks, including honeypots and log analysis centers such as the SANS Internet Storm Center, are used as a tool to detect malicious Internet traffic. For maximum effectiveness, such networks publish public reports without disclosing sensor locations, so that the Internet community can take steps to counteract the malicious traffic. Maintaining sensor anonymity is critical because if the set of sensors is known, a malicious attacker could avoid the sensors entirely or could overwhelm the sensors with errant data. Motivated by the growing use of Internet sensors as a tool to monitor Internet traffic, we show that networks that publicly report statistics are vulnerable to intelligent probing to determine the location of sensors. In particular, we develop a new "probe response" attack technique with a number of optimizations for locating the sensors in currently deployed Internet sensor networks and illustrate the technique for a specific case study that shows how the attack would locate the sensors of the SANS Internet Storm Center using the published data from those sensors. Simulation results show that the attack can determine the identity of the sensors in this and other sensor networks in less than a week, even under a limited adversarial model. We detail critical vulnerabilities in several current anonymization schemes and demonstrate that we can quickly and efficiently discover the sensors even in the presence of sophisticated anonymity preserving methods such as prefix-preserving permutations or Bloom filters. Finally, we consider the characteristics of an Internet sensor which make it vulnerable to probe response attacks and discuss potential countermeasures.
Curved Voronoi Diagrams Consisting of Influence Areas with Differentiable Boundaries
Authors: Yusuke Matsumoto, Keiko Imai, Hisashi Suzuki
Venue: Proceedings of the 4th International Symposium on Voronoi Diagrams in Science and Engineering (2007)

In this paper, we incorporate the concept of differentiability into Voronoi diagrams. We consider the influence area diagrams consisting of areas with differentiable boundaries. The diagram is called a curved Voronoi diagram. Any level of differentiability can be used in the definition of the curved Voronoi diagram depending on its applications. One of the applications is path planning for car-like robots in an area with obstacles. Car-like robots can easily drive along a path consisting of clothoid curve segments, circular arcs, and line segments. Therefore, we discuss a method for constructing a clothoid curve, circle, and line (CCL) diagram.
System identification with denoising
Authors: A. Bultan
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 01 (2000)

When the signal-to-noise ratio (SNR) is low, classical system identification methods can not produce accurate results. The results can be improved by using denoising methods with time-frequency decompositions. The chirp signal is used as a training sequence to make the time-frequency domain denoising possible. Chirplet decomposition is proposed for separation of signal and noise components. The results are compared with the Gabor transform denoising. The chirplet denoising method proposed here is less sensitive to SNR changes than the Gabor denoising proposed before. Also, the accuracy of the estimates in chirplet case is superior to the Gabor transform method.