Miracle-dz/UniFAR-FTUs huggingface dataset:
Static scheduling of multi-rate and cyclo-static DSP-applications

The high sample-rates involved in many DSP-applications, require the use of static schedulers wherever possible. The construction of static schedules however is classically limited to applications that fit in the synchronous data flow model. In this paper we present cyclo-static data flow as a model to describe applications with a cyclically changing behaviour and build a static schedule for them as well. We also propose a new scheduling method for both multi-rate and cyclo-static applications. Characteristic for this method is that the graph does not need to be transformed into a single-rate equivalent. The new scheduling technique has been implemented in GRAPE-II (Graphical RApid Prototyping Environment).
Study of Cyberspace Factors and Description Methods

In the article the constitution of cyberspace is analyzed from three layers which are physical layer, logical layer and social layer. And representation methods of each layer are given. On the basis, the description methods of Cyberspace actions are analyzed. So the meaning and nature of cyberspace could be understood deeply according analyzing.
Measuring Urban Sprawl: How Can We Deal with It?

Measuring urban sprawl is a controversial topic among scholars who investigate the urban landscape. This study attempts to measure sprawl from a landscape perspective. The measures and indices used are derived from various research disciplines, such as urban research, ecological research, and fractal geometry. The examination was based on an urban land-use survey performed in seventy-eight urban settlements in Israel over the course of fifteen years. Measures of sprawl were calculated at each settlement and were then weighted into one integrated sprawl index through factor analysis, thus enabling a description of sprawl rates and their dynamics over a time period of approximately two decades. The results reveal that urban sprawl is a multidimensional phenomenon that is best quantified by various measures.
6. GENRE: LANGUAGE, CONTEXT, AND LITERACY

In the last decade genre approaches have had a considerable impact on the ways we understand discourse and in transforming literacy education in different contexts around the world. This chapter reviews the main directions of recent literature in both these areas, showing how the concept of genre is beginning to offer applied linguists a socially informed theory of language and an authoritative pedagogy grounded in research on texts and contexts. In terms of language description, I describe recent studies which seek to elaborate our understanding of generic integrity and variation, the ways that genres are seen as similar and different in terms of their internal structures and as systems of social processes. This research focuses on the contexts, lexico-grammatical features, and rhetorical patterns of genres. In terms of pedagogy, the chapter considers how genre approaches address central issues of language education and critical literacy and the ways that genre is applied in classrooms.
A course in phonetics

Part I Introductory concepts: articulatory phonetics phonology and phonetic transcription. Part II English phonetics: the Consonants of English English vowels English words and sentences. Part III General phonetics: airstream mechanisms and phonation types place and manner of articulation acoustic phonetics vowels and vowel-like articulations syllables and suprasegmental features linguistic phonetics the international phonetic alphabet feature hierarchy performance exercises.
Attributed vector quantization: a new paradigm for image segmentation and pattern acquisition

Robust segmentation of complex images is a challenging problem. Performance with traditional use of statistical information, such as intensity, first and second derivatives, and local intensity histograms, is often degraded severely by noise. Good results with model-based segmentation approaches are generally sensitive to the precise initialization of the model within the image to be segmented. The basic idea of this paper is to integrate a set of image attributes into a single, unified framework, such that their complementary information facilitates reliable and robust decisions in image segmentation. This paper proposes a new vector clustering method, called Attributed Vector Quantization (Attributed VQ), for this purpose. The new method can be considered as a variation of the existing weighted vector quantization method, but uses a different weighting scheme from the traditional method, which is clearly motivated by the complex image segmentation problem. Furthermore, the vector quantization process intrinsically produces hierarchically organized structural information that can characterize the pattern of the object to be segmented. We demonstrate the new method with industrial images as the example. We demonstrate, preliminarily, that this approach shows promise in its application to training and recognition in industrial vision systems by requiring minimal user interaction during training, and by leveraging its basis in vector quantization to reduce sensitivity to noise and other anomalies during recognition.
Flood forecasting using support vector machines

This paper describes an application of SVM over the Bird Creek catchment and addresses some important issues in developing and applying SVM in flood forecasting. It has been found that, like artificial neural network models, SVM also suffers from over-fitting and under-fitting problems and the over-fitting is more damaging than under-fitting. This paper illustrates that an optimum selection among a large number of various input combinations and parameters is a real challenge for any modellers in using SVMs. A comparison with some benchmarking models has been made, i.e. Transfer Function, Trend and Naive models. It demonstrates that SVM is able to surpass all of them in the test data series, at the expense of a huge amount of time and effort. Unlike previous published results, this paper shows that linear and nonlinear kernel functions (i.e. RBF) can yield superior performances against each other under different circumstances in the same catchment. The study also shows an interesting result in the SVM response to different rainfall inputs, where lighter rainfalls would generate very different responses to heavier ones, which is a very useful way to reveal the behaviour of a SVM model.
Japanese wh-doublets and metalinguistic variables ∗

This paper looks at the distribution and the semantics of Japanese wh-doublets, such as “nani-nani” (what-what) and “dare-dare” (who-who). It is shown that these items can only appear in closed quotations in the sense of Recanati 2000, 2001, and that semantically, they behave like indefinites that range over referring expressions. In order to describe this semantics in a modeltheoretic way, a mechanism that allows quantification over expressions (or ‘metalinguistic quantification’) is in need. We will propose a fragment that allows predication as well as quantification over expressions, which nicely captures the metalinguistic nature of natural language.
A 98 mm2 die size 3.3-V 64-Mb flash memory with FN-NOR type four-level cell

In order to realize high-capacity and low-cost flash memory, we have developed a 64-Mb flash memory with multilevel cell operation scheme. The 64-Mb flash memory has been achieved in a 98 mm/sup 2/ die size by using four-level per cell operation scheme, NOR type cell array, and 0.4-/spl mu/m CMOS technology. Using an FN type program/erase cell allows a single 3.3 V supply voltage. In order to establish fast programming operation using Fowler-Nordheim (FN)-NOR type memory cell, we have developed a highly parallel multilevel programming technology. The drain voltage controlled multilevel programming (DCMP) scheme, the parallel multilevel verify (PMV) circuit, and the compact multilevel sense-amplifier (CMS) have been implemented to achieve 128 b parallel programming and 6.3 /spl mu/s/Byte programming speed.
Worldwide multistandard TV-sets in lieu of a world TV-standard

The author argues that the problem of compatibility between present analog TV with 525/625 lines and future digital TV with 900-1250 lines cannot be solved unless a two-channel concept is adopted in which different signal paths are used in parallel, even if only one channel at a time is in operation. The first (and main) channel would stay analog for many years using NTSC, PAL, SECAM, or D2-MAC systems with their specific field rates. The second channel, which is the augmentation channel, could then be designed according to the latest semiconductor technology. It would transmit digitally encoded information to increase the horizontal and vertical resolution of the analog main picture and to extend the picture area to the new 16.9 aspect ratio. >
Determining User Passwords From Partial Information

Memorable words have become a common technique in online banking security as a second authentication factor that is partially resistant to observation by adversaries. We formally model this technique and analyze the expected number of observations until the memorable word is known, for a range of common word lengths. We also calculate the probability of an adversary successfully passing authentication with knowledge of some but not all characters from the memorable word. © 2015 Newcastle University. Printed and published by Newcastle University, Computing Science, Claremont Tower, Claremont Road, Newcastle upon Tyne, NE1 7RU, England. Bibliographical details CLARKE, D; TOREINI, E; HAO, F; Determining User Passwords From Partial Information [By] D. Clarke, E. Toreini, F. Hao Newcastle upon Tyne: Newcastle University: Computing Science, 2015. (Newcastle University, Computing Science, Technical Report Series, No. CS-TR-1461)
An algorithm for the computation of computer network reliability in linear-time

The best known solution methods for network reliability problems are of exponential time complexity. This exponential behavior can render even moderately sized problems computationally intractable owing to the enormous amount of time required to generate a solution. To render such problems manageable, a bounding algorithm that provides upper and lower bounds for the source-to-terminal reliability of an arbitrary network has been developed. A unique feature of this bounding algorithm is that it possesses linear time complexity when the maximum indegree of all network nodes is limited. <<ETX>>
Virtual immersive review for car design

In this paper, a method to link CAD models to an immersive virtual environment is proposed. CAD models cannot be viewed directly in a real-time visualization environment. CAD models have to be adapted to be viewed in an immersive environment with high quality rendering. The proposed method allows design review in application requesting high quality complex scene visualization in immersive virtual environment. Our application is dedicated to an immersive room called the MoVE (Mobile Virtual Environment). This display offers a particular place to the user. User is inside the virtual world. This position allows us to take care of the peripheral.
The Research & Application of Component Assembly Based on Workflow Technology

In this paper, we study for the theory of component technology and the workflow technology and method of component composition of component and component library, based on the principle of workflow technology and the component composition technology, the method to study and put forward the component assembly based on workflow technology system structure. Using this method to separate business process logic and business process implementation, under the condition of without modifying the specific function component, by redefining process model to accomplish system function change or improvement of system performance, make the enterprise can according to the business process dynamically build enterprise information system, changed the enterprise's business and process to adapt to the traditional software development model.
Flexible semantics for reinterpretation phenomena

Deriving the correct meaning of such colloquial expressions as "I am parked out back" requires a unique interaction of knowledge about the world with a person's natural language tools. In this volume, Markus Egg examines how natural language rules and knowledge of the world work together to produce correct understandings of expressions that cannot be fully understood through literal reading. An in-depth and exciting work on semantics and natural language, this volume will be essential reading for scholars in computational linguistics.
A built-in Hamming code ECC circuit for DRAMs

An error checking and correcting (ECC) technique that checks multiple cell data simultaneously and allows fast column access is described. The ECC circuit is optimized with respect to the increase in the chip area and the access-time penalty, and can be applied to a 16-Mbit DRAM with 20% chip area increase and less access-time penalty. The soft error rate has been estimated to be about 100 times smaller than that of the basic horizontal-vertical parity-code ECC technique. >
Reliable Decentralized Failure Diagnosis of Discrete Event Systems

In most existing works on decentralized diagnosis of discrete event systems, it is implicitly assumed that diagnosis decisions of all local diagnosers are available to detect the failure. However, it may be possible that some local diagnosis decisions are not available due to some causes. Letting n be the number of local diagnosers, the notion of (n, k)-reliable codiagnosability guarantees that any occurrence of the failure can be detected by using arbitrary more than or equal to k local diagnosis decisions within a uniformly bounded number of steps. In other words, even if at most n − k local diagnosis decisions are not available, the failure can be detected by using the remaining diagnosis decisions. In this paper, a method for verifying (n, k)-reliable codiagnosability for any k is presented. Then, the delay bound within which any occurrence of the failure can be detected by using arbitrary more than or equal to k local diagnosis decisions
TDOA Wireless Localization Comparison Influence of Network Topology

The interest to wireless positioning techniques has been increasing in recent decades due to wide spread of location-based services as well as constraints imposed by regulator on cellular operator to achieve an accepted level of cellular accuracy regardless of availability of GPS signals. Nevertheless, failure of some base stations cannot be fully avoided, yielding various cellular topologies, which, in turn would likely influence the accuracy of the positioning. This paper explores four types of cellular topologies: balanced, circular, U-shape and linear, which can be inferred from balanced topology structure. Assuming time difference of arrival technology and, up to some extent, time of arrival technology were employed, least square like methods are contrasted with maximum likelihood, Taylor, Chan and hybrid approaches in a simulation platform
Implementation of direct routing mobile IP for solving triangular routing

Mobility support on the network layer is of special importance, as the network layer holds together the huge Internet with common protocol IP. Although based on possibility different wireless or wired technologies, all nodes of the network should be able to communicate. Therefore, mobile IP(an extension of the classical IP) has been designed which enablemobility in the Internet without changing existing wired systems. However, mobile IP leaves some points unsolved. Especially, if it comes to security, efficiency of the packet flow that is called triangular routing. Especially triangular routing can cause unnecessary overhead for the network. Furthermore latency can increase dramatically. This is particularly unfortunate if two communicating hosts are separated by transatlantic links. In order to this problem, many methods like IPv6 and ROMIP are proposed. But these methods have limitation. In other words, they have not compatibility because of needing modification of original IP scheme. Especially ROMIP is very complex and the overhead of control message and processing are serious. The problem of inconsistency of Binding caches may occur too. We therefore propose and analyze the performance of the DRMIP (Direct Routing Mobile IP) which do not modify IP source needed in the sender, is compatible with IP and Mobile IP.
Optical Properties of ZnS:Co+Cr Nanocrystals Synthesized by a Low Temperature Hydrothermal Process

Water-soluble ZnS:Co+Cr nanocrystals (NCs) were synthesized by a low temperature hydrothermal process using 3-mercaptopropionic acid (MPA) as capping agent. X-ray diffraction, laser particle size analyzer, transmission electron microscope (TEM), UV-Vis spectrophotometer, fluorescence spectrophotometer, XPS were used to characterized crystalline structure, morphology, particle size and optical properties of the samples. It is found that the ZnS:Co+Cr NCs are monodisperse and show zinc blende structure with an average particle size of about 9.3 nm. The absorption edge of ZnS:Co+Cr NCs is observed at 320 nm from the UV-Vis absorption spectra, furthermore the characteristic absorption peak at 728 nm of Co is observed. The photoluminescence characteristics indicate that ZnS:Co+Cr NCs shows the maximum PL intensity value under the condition: Cr-doping concentration of 0.75at% and the hydrothermal reaction temperature of 160°C. As confirmed by X-ray photoelectron spectroscope(XPS) , the Cr dopants are partialiy oxidized into Cr.
Reduction of real power loss by using Fusion of Flower Pollination Algorithm with Particle Swarm Optimization

In this paper, a new Fusion of Flower Pollination Algorithm with Particle Swarm Optimization (FFPAPSO) is proposed to solve optimal reactive power dispatch problem. Flower pollination algorithm is a new-fangled nature-inspired algorithm, based on the characteristics of flowering plants. The standard Particle Swarm Optimization (PSO) algorithm is a novel evolutionary algorithm in which every particle learns its own previous best solution and the group’s previous best to optimize problems. Fusion of flower pollination algorithm with particle swarm algorithm (FFPAPSO) is done to solve the reactive power problem. The proposed FFPAPSO has been tested on standard IEEE 30, IEEE 57 bus test systems and simulation results show clearly the better performance of the proposed algorithm in reducing the real power loss.
Rational drug design applied to myeloperoxidase inhibition.

AbstractRational drug design is a general approach using protein-structure technique in which the discovery of a ligand can be driven either by chance, screening, or rational theory. Myeloperoxidase (MPO) was rapidly identified as a therapeutical target because of its involvement in chronic inflammatory syndromes. In this context, the research of MPO inhibitors was intensified and development of new chemical entities was rationally driven by the research of ligands that enter into the MPO catalytic pocket. Actually, as soon as crystallography data of MPO have become available and its structure was virtually designed, the rational drug design has been applied to this peroxidase. Pharmaceutical industries and academic laboratories apply rational drug design on MPO by either optimizing known inhibitors or searching new molecules by high-throughput virtual screening. By these ways, they were able to find efficient MPO inhibitors and understand their interactions with the enzyme. During this quest of MPO inhib.
Constrained filter optimization for subsurface landmine detection

Previous large-scale blind tests of anti-tank landmine detection utilizing the NIITEK ground penetrating radar indicated the potential for very high anti-tank landmine detection probabilities at very low false alarm rates for algorithms based on adaptive background cancellation schemes. Recent data collections under more heterogeneous multi-layered road-scenarios seem to indicate that although adaptive solutions to background cancellation are effective, the adaptive solutions to background cancellation under different road conditions can differ significantly, and misapplication of these adaptive solutions can reduce landmine detection performance in terms of PD/FAR. In this work we present a framework for the constrained optimization of background-estimation filters that specifically seeks to optimize PD/FAR performance as measured by the area under the ROC curve between two FARs. We also consider the application of genetic algorithms to the problem of filter optimization for landmine detection. Results indicate robust results for both static and adaptive background cancellation schemes, and possible real-world advantages and disadvantages of static and adaptive approaches are discussed.
Running with technology: the pedagogic impact of the large-scale introduction of interactive whiteboards in one secondary school

Abstract This article reports on the impact on teaching of the introduction of interactive whiteboard technology into one secondary comprehensive school. It uses research evidence from a whole-staff questionnaire and in-depth structured interviews with one third of the staff. It outlines the views of both staff and students and describes the use, learning and teaching implications, problems and potential of the technology. Findings are related to two typologies – that of use as an aid to efficiency, extension or transformation in teaching, and that of teacher attitudes as missioners, tentatives or Luddites. It concludes that problems with use and limited impact on learning and teaching are more likely to occur where teachers fail to appreciate that interactivity requires a new approach to pedagogy. Training and personal development involving coaching and mutually reflective activity is of the greatest help to staff
The Impact of Information Technology on Organizational Flexibility

This paper argues that information technology can have a significant impacton organizational flexibility. Information technology (IT) contributes to flexibilityby 1) changing the nature of organization boundaries and the time at which worktakes place and 2) altering the nature and pace of work. IT also has importantsecond and third order impacts on organizations and industries. The paper presentsexamples to illustrate the impact of information technology on two industries andthree companies. The paper concludes that management should consider the use ofinformation technology to increase flexibility and should predict the higher orderimpact of their actions on the organization and their industry.
A Network Coding Based Rate Adaptive Protocol for Wireless Mesh Network

In this paper, TRANC-a transmission rate adaption network coding protocol for wireless mesh network is proposed. We investigate the interaction between network coding and transmission rate adaption in wireless mesh network. Traditional network coding schemes either assume a fixed transmission rate and do not consider the impact of using diverse rates on the performance of the network, which limits the performance of the wireless networks. each node makes the routing decision based on the link quality, making full use of the transmission capacity of idle nodes in the network, which effectively reduces the communication costs between nodes, as well as the probability of packet duplication. Simulations show that TRANC can effectively improve network throughput with a lower end to end delay.