Miracle-dz/UniFAR-FTUs huggingface dataset:
Pressure-sensitive field-effect transistor sensor array fabricated from a piezoelectric polyvinylidene fluoride film

A tactile sensor was fabricated from piezoelectric polyvinylidene fluoride (PVDF) films coupled to a silicon wafer substrate containing an array of MOSFETs. The integrated circuit incorporated 25 sensor elements arranged in a 5*5 grid. Sensor configurations using varying thickness of PVDF film were fabricated, and the individual elements of each configuration were evaluated. The sensor based on the 25- mu m-thick PVDF film was judged to be the optimal sensor configuration because of its bias response time and its linear operation over the load range tested. No significant coupling between nearest-neighbor sensor elements was observed. <<ETX>>
Approaches to user modeling

The three existing approaches to user modeling-GOMS (goals, operators, methods, and selection rules), production simulation, and mental models-are examined. Each approach is described, relevant experimental research is reviewed, and each approach is summarized in terms of its advantages, limitations, and applicability to the system design process. It is suggested that these approaches are inadequate to account fully for the interplay between human information processing, user characteristics, computer systems, and the demands of the various tasks. An alternative approach to user modeling that utilizes structural covariance analysis is presented. A theoretical causal model of the human-computer interaction, which incorporates the user, system, and task characteristics, is described and discussed in terms of applying structural analysis to the theorized pattern of causation among the user, system, and task. How this approach can provide useful information for guiding the design process is discussed. <<ETX>>
A new estimator of the sea state bias using a three frequency radar altimeter

This work deals with the estimation of the sea state bias (SSB). We performed a method to compute an altimeter return waveform from a deterministic sea surface [Amarouche et al. 2000]. To simulate the SSB, the sea surface characteristics and the electromagnetic model have been modified in agreement with statistical and physical theories and observations [Amarouche et al. 2000]. The conclusions of this study allow us to propose an estimator of the SSB using three frequency bands. Our simulator is tested using the performance budgets of Poseidon-2 (C and Ku bands) and AltiKa (Ka band) radar altimeters. The SSB is estimated with a bias of the order of about one millimeter and a noise of the same order of magnitude as the height estimation noise. The importance of the significant wave height estimation in determining the SSB, led us to propose a method to improve this estimation by studying the point target impulse response approximation by a Gaussian shape in the waveform model.
A new systolic squarer and its application to compute exponentiations in GF(2/sup m/)

This paper presents a new systolic squarer and a new systolic exponentiator for GF(2/sup m/) with the standard basis representation. While computing squares in GF(2/sup m/), the proposed systolic squarer has smaller latency and less hardware requirement than a dedicated systolic multiplier. The proposed systolic exponentiator consists of [m/2] squarers, one multiplier, and [(m-1)/2] power-sum circuits (for AB/sup 2/+C). As compared to existing related exponentiators, it involves less hardware complexity and smaller latency. Both of the proposed architectures involve the features of regularity, modularity, and unidirectional data flow. As a consequence, they are well suited to VLSI implementation with fault-tolerant design.
Representação e Extração de Métricas em Bases de Características: Uma Abordagem Orientada a Objetos

This tutorial presents an object oriented approach to data reading and metrics extraction from feature basis. Structural issues about basis are discussed first, then the Object Oriented Programming (OOP) is aplied to modeling the main elements in this context. The model implementation is then discussed using C++ as programing language. To validate the proposed model, we apply on some feature basis from the University of Carolina, Irvine Machine Learning Database.
A Digital Loop Communication System

In this concise paper, we describe the concept of a local loop communication system with distributed control. Digital signals offered by the subscribers are parceled and transmitted in blocks to their destination using address-coding. Access of the terminals to the loop is gained by switching a delay network (shift register, containing the message block to be transmitted) into the loop line. This strategy guarantees that every station is able to transmit a message at any time regardless of the traffic conditions in the loop. A quantitative analysis of the loop traffic capabilities as a fnnction of the loop parameters is given. A laboratory model for line frequencies of about 10 Mb/s is presently being built. It allows data and telephone connections including such features as call back, call transfer and forwarding. Loop transmission is realized by means of a three-core symmetrical cable which carries the data sequences and the timing information separately. This allows the use of an extremely simple regenerator. Possible applications include integrated in-house communication systems and control and supervisory systems for manufacturing processes, railway stations and trains.
Semantic Network Method of Urban Landscape Design

During urban landscape design, both the rational and the perceptual processes is the important stage. According to the characteristics of urban landscape and scheming, the semantic network method is put forward as a tool to solve the more and more complex problems. Because the semantic network is suitable to the characteristics of the human mind and computer, it is possible to assist urban landscape design and scheming for the designer. In this paper, we will put forward an initial idea of semantic network method and discuss how to use this tool.
A pipelined digital differential matched filter FPGA implementation and VLSI design

A digital matched filter having a differential and pipelined structure is proposed for CDMA (Code Division Multiple Access) communication systems. A novel differential PN (Pseudo-Noise) code scheme is adopted to reduce the number of multiplication and summation (M&S). The PDDMF (Pipelined Digital Differential Matched Filter) not only saves half of the hardware and power, but also improves the speed to a single operation time of M&S. These features make the PDDMF more suitable for personal communication high speed and low power requirements than the conventional methods. The FPGA of the DDMF (Digital Differential Matched Filter) verifies the matched filter using the proposed differential PN code scheme. Moreover, a 64 taps length PDDMF with 4 bits soft decision using 5 V 0.8 /spl mu/m CMOS standard cells is designed. The active chip area is 2.6/spl times/2.6 mm/sup 2/. Simulation results demonstrate that the chip rate of the PN code in the PDDMF can achieve 45 M chips/sec.
Formal verification of Statecharts using finite-state model checkers

This paper presents a new approach to the formal verification of properties of discrete control specifications given by Statecharts. Specifications for the Statechart behavior are given by temporal logic expressions for the Statechart computation tree, that is, the tree of possible sequences of Statechart configurations. To take advantage of existing model checking technology, the Statechart is converted into a finite-state representation and the Statechart specification is converted into an equivalent specification for the finite-state system. The definitions and general procedure applies for arbitrary Statechart semantics (a specific semantics results in a particular realization of the procedure). The results are illustrated with examples using the Math-Works Stateflow Toolbox (for Statecharts) and the SMV model checking program. The procedure is realized in an extension of the MATLAB sf2smv command presented in previous papers.
Inaccurate phase-based disparities removal

Disparity estimation for 3D-structure reconstruction has become a classical topic in computer vision. Most of the recent work has been devoted to the phase-based techniques developed for their better theoretical grounding. One issue involved in the phase-based disparity estimation is the behavior of the phase which can produce some distorted results. Through the analysis of the responses we locate the inaccurate estimates and identify constraints such that they can be avoided. In this paper, we propose a constraint based on the magnitude of the responses to remove inaccurate disparity estimates and we give a technical proof to justify the constraint on the instantaneous frequency introduced before. The constraints used help to improve the accuracy of the measurements.
Collaborative Musical Experiences for Novices

We explore the context and design of collaborative musical experiences for novices. We first argue that musical expression with multi-person instruments is a form of communication between the players. We illustrate that design for musical collaboration facilitates exploration of sound space with low entry-level skill. In contrast to the western post-Renaissance focus on musical expression through virtuosity, collaborative musical experiences enable the media of sound and music to enhance the communication opportunities and intimacy between players. The main factor common to most of the interfaces discussed herein is that musical control is highly restricted, which makes it possible for novices to easily learn and participate in the collective experience. This happens at the expense of providing an upward path to virtuosity with the interface. Balancing this tradeoff is a key concern for designers. We look closely at many contemporary collaborative interface designs, with each exploring a different way to achieve successful musical experiences for novice players.
Harnessing Emerging Technologies for Education Communication

The history of pedagogy reflects many changes in methodology, curriculum and institutional structure and management but one thing that seems to transcend time is the central role of the classroom teacher. At all levels of learning from the preparatory to higher levels of education, the role of the instructor remains paramount. Even informally, in apprenticeship the trainer plays a significant role in transmission and imparting of knowledge. Educationists have made bold attempts to integrate communication technologies to enrich learning with tremendous success but they all serve to complement the role of the teacher. The education fraternity can be noted without fear of contradiction to be the greatest beneficially of the printing technology. Discoveries of other communication technologies like the motion pictures, the television, radio, computer, internet and digital technologies have all played significant roles in improving transmission of educational instructions. The new media hold promise of stealing the show from the classroom teacher more than any other communication technology so far discovered. There is need to urgently assess the impact these new media technologies have had on learning and their contribution to quality compared to older technologies and the traditional classroom teacher. However, this is not the focus of this paper. The concern of this paper is to explore the variety of new media technologies available for learning and how they can be used to enrich learning. Through literature review method this article poignantly demonstrates how the new media is being used to complement the efforts of the classroom instructor through offline and online presentations, publishing online and offline, social networking, access, connectivity ,search, analytical tools, content creation and design and providing a rich online resources. “The newly released ICT figures confirm once again that information and communication technologies continue to be the key drivers of the information society,” ITU Secretary-General Hamadoun I. Toure.
Adaptive pulse control of electronic throttle

Precise control of electronic throttle is critical to driveability, fuel economy and emission performance of present day passenger vehicles. Due to cost, material and packaging constraints, the throttle open-loop dynamics may be fairly complex, exhibiting substantial nonlinearities among which friction plays a prominent role. In this paper, a dynamic model for an electronic throttle is developed, based on a dynamic LuGre model to represent friction effects. An adaptive pulse controller is applied to achieve accurate throttle positioning.
Beam spacing for angle diversity

In mobile communications, the multiple path propagation causes Rayleigh-like fading which limits the capacity of the channel. Antenna diversity is an established technique to mitigate the multipath. Design guidelines are rather limited, for example, the condition for space diversity in a uniform scenario is often quoted to be a half wavelength for omnidirectional antennas, although in practice a much closer spacing is possible, and desirable. By considering directional beams which are angularly spaced in an uncorrelated, directional scenario, the relations for the correlation coefficient between the fading signals received by the beams are derived. This allows the condition for angle diversity to be established. For medium to high directivity (>/spl sim/6 dB), truncated (by the circular support) real Gaussian beams offer simple and accurate results, and for low directivity, real cosine beams are convenient. The real beams give pessimistic results in the sense that realistic, complex beams require a smaller angular spacing. Under the assumptions of the scenario being uncorrelated, simple relationships are established for angle diversity. These results have applications in the design of multiple beam antennas for mobile communications, optical beams for indoor communications, acoustic beamforming, and beams for the, classical multipath of scintillating atmospheres.
Efficient differential quasi-orthogonal space-time block code system

In this paper, we present an efficient differential quasi-orthogonal space-time block code (ED-QOSTBC) system. In particular, it is shown that our proposed system performs symbol-wise complex symbol decoding with the maximum likelihood (ML) receiver. From the performance evaluations, it is demonstrated that the ED-QOSTBC system has the same performance compared to conventional D-QOSTBC transmission in terms of biterror-rate (BER), and it reduces decoding complexity proportional to the cardinality of the constellation set.
A Novel GPU-Based Deformation Pipeline

We present a new deformation pipeline that is independent of the integration solver used and allows fast rendering of deformable soft bodies on the GPU. The proposed method exploits the transform feedback mechanism of the modern GPU to bypass the CPU read-back, thus, reusing the modified positions and/or velocities of the deformable object in a single pass in real time. The whole process is being carried out on the GPU. Prior approaches have resorted to CPU read-back along with the GPGPU mechanism. In contrast, our approach does not require these steps thus saving the GPU bandwidth for other tasks. We describe our algorithm along with implementation details on the modern GPU and finally conclude with a look at the experimental results. We show how easy it is to integrate any existing integration solver into the proposed pipeline by implementing explicit Euler integration in the vertex shader on the GPU.
2D and 3D frequency-domain elastic wave modeling in complex media with a parallel iterative solver

ABSTRACTFull-waveform inversion and reverse time migration rely on an efficient forward-modeling approach. Current 3D large-scale frequency-domain implementations of these techniques mostly extract the desired frequency component from the time-domain wavefields through discrete Fourier transform. However, instead of conducting the time-marching steps for each seismic source, in which the time step is limited by the stability condition, performing the wave modeling directly in the frequency domain using an iterative linear solver may reduce the entire computational complexity. For 2D and 3D frequency-domain elastic wave modeling, a parallel iterative solver based on a conjugate gradient acceleration of the symmetric Kaczmarz row-projection method, named the conjugate-gradient-accelerated component-averaged row projections (CARP-CG) method, shows interesting convergence properties. The parallelization is realized through row-block division and component averaging operations. Convergence is achieved systemat.
Neural computing for software reliability

: We present the results of a feasibility study for the application of neural computing to the traditional problem of how to generate cost-effective, reliable implementations of complex problems—i.e. the central problem of software engineering. We treat neural computing as an innovative technology for conventional software engineering. We explore the reliability of neural networks (multilayer perceptrons trained with the backpropagation algorithm) as alternative versions in a multiversion software system. The basic idea is that versions trained differently will not exhibit common faults as independently developed, conventional versions (programmed in, for example, Modula-2) have been shown to do. The common design faults that run through independently developed versions appear to be the result of ‘difficult’ inputs which all programmers tend to misconstrue similarly. Network implementations, which are not directly designed in the conventional manner, should permit easy introduction of ‘diversity’ to combat this weakness. The initial results give credence to this possibility and have shown the way to generate substantial forced diversity within the neural computing paradigm.
Quality improvement of low-bit-rate noisy speech using the subspace method

Additive noise presents a particularly difficult problem for linear predictive-based speech coding (LPC) systems operating at sampling rates up to 4.8 kb/s. The performance. of cascade signal-subspace-based speech enhancement algorithm/code excited linear predictive (CELP) coding system is studied and compared with the conventional cascade spectral-subtraction-based speech enhancement algorithm/CELP system. Both systems have been tested under the same conditions, i.e. the same type of noise (white noise) and the same signal-to-noise-ratios. An LPC-based objective test is used for the evaluation of both systems. Based on this test, it is shown that the signal-subspace-based speech enhancement algorithm outperforms the spectral-subtraction-based speech enhancement algorithm such that it could be recommended as a preprocessor for any LPC speech coding system.
Multicriteria Evaluation with Mixed Qualitative and Quantitative Data

In this paper attention will be focussed on the development of a new multicriteria evaluation approach for mixed ‘quantitative-qualitative’ data. First a brief overview is given of the ‘state of the art’ of multicriteria evaluation in urban and regional planning. In addition, a mixed data evaluation approach will be discussed, which includes three techniques which are all based on different interpretations of basic assumptions. Next it will be shown that there are some practical ways to deal with the weighting problem in evaluation. Finally, an illustration of the mixed data approach is provided by means of an empirical application to a housing allocation problem.
Reliable Image-Text Fusion CAPTCHA to Improve User-Friendliness and Efficiency

In Web registration pages and online polling applications, CAPTCHA(Completely Automated Public Turing Test To Tell Computers and Human Apart) is used for distinguishing human users from automated programs. Text-based CAPTCHAs have been widely used in many popular Web sites in which distorted text is used. However, because the advanced optical character recognition techniques can recognize the distorted texts, the reliability becomes low. Image-based CAPTCHAs have been proposed to improve the reliability of the text-based CAPTCHAs. However, these systems also are known as having some drawbacks. First, some image-based CAPTCHA systems with small number of image files in their image dictionary is not so reliable since attacker can recognize images by repeated executions of machine learning programs. Second, users may feel uncomfortable since they have to try CAPTCHA tests repeatedly when they fail to input a correct keyword. Third, some image-base CAPTCHAs require high communication cost since they should send several image files for one CAPTCHA. To solve these problems of image-based CAPTCHA, this paper proposes a new CAPTCHA based on both image and text. In this system, an image and keywords are integrated into one CAPTCHA image to give user a hint for the answer keyword. The proposed CAPTCHA can help users to input easily the answer keyword with the hint in the fused image. Also, the proposed system can reduce the communication costs since it uses only a fused image file for one CAPTCHA. To improve the reliability of the image-text fusion CAPTCHA, we also propose a dynamic building method of large image dictionary from gathering huge amount of images from theinternet with filtering phase for preserving the correctness of CAPTCHA images. In this paper, we proved that the proposed image-text fusion CAPTCHA provides users more convenience and high reliability than the image-based CAPTCHA through experiments.
Adaptive processing array systems

Adaptive array systems have undergone enormous growth and progress in the past two decades. Because this multidiscipline technology area is both complex and mathematics intensive, it often appears alien (and perhaps impractical) to the nonspecialist. To help bridge those gaps, this tutorial paper has been and limited to just three principal topic areas: sidelobe cancellers, fully adaptive arrays, and superresolution techniques. In each case, background material is included for perspective and clarity, and carefully selected references are provided. Recent developments are discussed briefly where appropriate. >
The Pseudo-relevance Feedback Model Based on Quantum Probability Theory

Relevance Model (RM) is one of typical and generally stable methods for the query expansion in information retrieval (IR). This paper presents a novel information retrieval model based on the quantum probability theory, and makes a preliminary exploration on the application of quantum model in pseudo-relevance feedback. In the document weight allocation framework, we propose two re-ranking approaches based on linear weight allocation and quantum interference weight allocation, respectively. The experimental results on standard TREC datasets show that the proposed model is effective and potential in information retrieval tasks. Keywordsinformation retrieval; pseudo relevance feedback; quantum probability theory; document weight allocation
Scanning Large-Scale Articulated Deformation

Scanning the deformation behavior of real objects is a useful technique to acquire physically realistic behavior. It has been shown previously how to acquire physically realistic object behavior for small deformation and how to render the behavior at interactive rates. This paper introduces a novel method to extend previous work to handle large scale deformation. We model large scale deformation as articulation in combination with local linear deformation. The articulation may either reflect a underlying physical structure or may be purely a modeling technique. In this paper, we show examples of both applications. Our acquisition method is applicable to deformable modeling but it also has implications for motion capture.