Miracle-dz/UniFAR-FTUs huggingface dataset:
Similitudes et différences textuelles dans les genres numériques : blog et site web

This article tackles various characteristics of two digital genres – the blog and the web site – in connection with the Portuguese tourist activity. In order to do so, it uses an analytical tool – the genre parameter – created within the research project in the Linguistic Centre of the University of Lisbon, at the level of text analysis and discourse organization, to be more specific. In addition to an effective study of the two digital genres, the article seeks to lay the groundwork of a study of generic analytical tools.
Vlsi Digital Signal Processing Systems Design And Implementation

VLSI Systems Design for Digital Signal Processing: Signal processing and signal processorsModern Signal ProcessingVLSI Systems Design for Digital Signal Processing: Systems designPipelined Lattice and Wave Digital Recursive FiltersProgrammable Digital Signal ProcessorsDigit-Serial ComputationDigital Design of Signal Processing SystemsFPGA-based Implementation of Signal Processing SystemsAnalog VLSI Integration of Massive Parallel Signal Processing SystemsVLSI数字信号处理系统VLSI Synthesis of DSP KernelsVLSI Design Methodologies for Digital Signal Processing ArchitecturesVLSI Systems Design for Digital Signal ProcessingVLSI Digital Signal Processing SystemsDigital Signal Processing in Communications SystemsThink DSPDigital Signal Processing with Field Programmable Gate ArraysHigh-Performance VLSI Signal Processing Innovative Architectures and Algorithms, Algorithms and ArchitecturesVLSI DIGITAL SIGNAL PROCESSING SYSTEMS: DESIGN AND IMPLEMENTATIONAdvances in VLSI, Signal Processing, Power Electronics, IoT, Communication and Embedded SystemsVLSI Systems Design for Digital Signal Processing: Signal processing and signal processorsVLSI Signal ProcessingVLSI Array ProcessorsMicroelectronics and Signal ProcessingDigital Signal Processing in VLSIDigital Signal Processing for Multimedia SystemsVLSI Signal Processing TechnologyTrends in Digital Signal ProcessingDSP Integrated CircuitsARCHITECTURES FOR DIGITAL SIGNAL PROCESSINGAdvances in VLSI, Communication, and Signal ProcessingVLSI Digital Signal ProcessorsDigital Signal ProcessingDigital Signal ProcessingVLSI DIGITAL SIGNAL PROCESSING SYSTEMS: DESIGN AND IMPLEMENTATIONCircuits, Signals, and Speech and Image ProcessingDigital Signal ProcessingDesign of Analog-digital VLSI Circuits for Telecommunications and Signal ProcessingAdvances in Communication, Signal Processing, VLSI, and Embedded SystemsDigital Signal Processing
Plant eco-physiological responses to multiple environmental and climate changes

s 1. Albert KR, Ro-Poulsen H, Mikkelsen TN (2005) Ambient UV-radiation decreases photosynthetic performance on High Arctic plants 11 biennial meeting of Arctic Biology March 2005 at University of Copenhagen, Denmark Abstract and poster th 2. Albert KR, Ro-Poulsen H, Mikkelsen TN (2006) How does prolonged drought affect plant physiological processes? Focus on the interactions with increased temperature and elevated [CO2] within the CLIMAITE
Valid and powerful group statistics for decoding accuracy: Information Prevalence Inference using the i-th order statistic (i-test)

Inference using the i-th order statistic (i-test) 2 Satoshi Hirosea,b 3 4 aCenter for Information and Neural Networks, National Institute of Information and 5 Communications Technology, 1-4 Yamadaoka, Suita, Osaka 565-0871, Japan 6 bGraduate School of Medicine & Graduate School of Frontier Biosciences, Osaka 7 University, 2-15 Yamadaoka, Suita, Osaka 565-0871, Japan 8 9 Corresponding author: 10 Satoshi Hirose 11 Center for Information and Neural Networks 12 National Institute of Information and Communications Technology 13 1-4 Yamadaoka, Suita, Osaka 565-0871, Japan 14 Tel: +81-80-9045-9529 15 Fax: +81-6-7174-8612 16 E-mail: satoshi.hirose@nict.go. jp 17 18 Declarations of interest: 19 None. 20
Modeling the impacts of pulsed riverine inflows on hydrodynamics and water quality in the Barataria Bay estuary

xv CHAPTER 1: BARATARIA ESTUARY MODELING – BACKGROUND, RATIONALE AND OBJECTIVES . 1 BACKGROUND AND RATIONALE . 1 STUDY SITE . 7 THE ROLE OF MODELING . 8 REFERENCES . 14 CHAPTER 2: MODELING ESTUARINE-SHELF EXCHANGES IN A DELTAIC ESTUARY: IMPLICATIONS FOR COASTAL CARBON BUDGETS AND HYPOXIA . 2
Design of a 6-bit 500MS/s CMOS A/D Converter with Comparator-based Input Voltage Range Detection Circuit

입력 전압 범위 감지 회로를 이용해서 저전력 6비트 플래시 500Ms/s ADC를 설계하였다. 입력 전압 범위 감지 회로는 변환기내 모든 비교기들 중에서 25%만 동작시키고, 나머지 75%는 동작시키지 않는 방법을 채택하므로 저전력 동작을 가능하게 설계 및 제작하였다. 설계된 회로는 0.13um CMOS 공정기술을 이용해서 제작하였고, 1.2V 전원전압에서 68.8mW 전력소모, 4.9 유효 비트수, 4.75pJ/step의 평가지수가 측정되었다.
Comparative study of NoSQL databases for big data storage

Big data is a collection of large scale of structured, semi-structured and unstructured data. It is generated due to Social networks, Business organizations, interaction and views of social connected users. It is used for important decision making in business and research organizations. Storage which is efficient to process this large scale of data to extract important information in less response time is the need of current competitive time. Relational databases which have ruled the storage technology for such a long time seems not suitable for mixed types of data. Data can not be represented just in the form of rows and columns in tables. NoSQL (Not only SQL) is complementary to SQL technology which can provide various formats for storage that can be easily compatible with high velocity, large volume and different variety of data. NoSQL databases are categorized in four techniques-Column oriented, Key Value based, Graph based and Document oriented databases. There are approximately 120 real solutions existing for these categories; most commonly used solutions are elaborated in Introduction section. Several research works have been carried out to analyze these NoSQL technology solutions. These studies have not mentioned the situations in which a particular data storage technique is to be chosen. In this study and analysis, we have tried our best to provide answer on technology selection based on specific requirement to the reader. In previous research, comparisons among NoSQL data storage techniques have been described by using real examples like MongoDB, Neo4J etc. Our observation is that if users have adequate knowledge of NoSQL categories and their comparison, then it is easy for them to choose best suitable category and then real solutions can be selected from this category
Does Customer Trust Mediate the Impact of e-Service Quality Dimensions? Lessons during COVID-19 Pandemic

e-groceries is probably is an effective way to contain the current epidemic to avoid personal contacts and maintain the social distance within the face of the COVID-19 Pandemic.The purpose of this study is to gain insight on the impact of e-service quality dimensions and customer satisfaction of e-groceries with the role of customer trust as a mediating variable during the COVID-19 pandemic. Research adopted the quantitative approach where the empirical data gathered from 300 e-grocery shoppers in Western province,Sri Lanka, selected by adopting multi-stage sampling method. Data collected through a field survey conducted during the first wave of COVID-19 pandemic in year 2020. As analysis methods, Regression analysis adopted whereas the Barron and Kenny mediator analysis model and the Sobel test adopted for mediation impact. According to the findings, e-service quality dimensions strongly impact on the customer satisfaction of e-groceries during the Pandemic. Further, customer trust, partially mediates the e-service quality and customer satisfaction of e-groceries. The research indicates that e-grocery service providers have to distinct on revamp of customer trust parameters and e-service quality dimensions that mentioned throughout to enhance the customer satisfaction, customer trust and attract more customers for e-grocery shopping.
Predicting the long-term performance of low-cost phosphorus-sorbing materials using small-scale adsorption column experiments

Anthropogenic phosphorus (P) and nitrogen (N) inputs to aquatic environments have rapidly increased in magnitude since the middle of the twentieth century, and nutrient pollution has become the primary threat to global surface water quality. Because P is most often the nutrient limiting primary production in freshwater ecosystems, the control of P losses from anthropogenic sources is of paramount importance to the prevention of cultural eutrophication, i.e. the nutrient enrichment of water bodies as a result of human activities. Left unchecked, eutrophication causes optimal conditions for sudden, dramatic increases in populations of algae and many species of noxious aquatic weeds. The long-term effects of this are marked reductions of aquatic biodiversity, disruption of natural biogeochemical balances, and an accelerated ageing of water bodies resulting in their premature succession from clear water, to swamp/marsh, and finally to dry land. More obvious short-term effects are increased incidences of harmful algal blooms and associated fish kills resulting from low dissolved oxygen levels, i.e. hypoxic conditions, caused by the microbial decay of organic matter originating from the overgrowth of plants and algae. Sources of P losses can be broadly divided into two main categories: point sources and nonpoint sources. The former represents easily identifiable, discreet sources of P such as outlets from municipal wastewater treatment plants, while the latter represents diffuse sources of P which are spatially and temporally heterogeneous. Advances in wastewater treatment technologies, coupled with increasingly strict legislative controls in recent decades, have lessened the threat posed by point source P losses, and nonpoint source P losses have become the dominant contributor to nutrient pollution in many regions, including Ireland, where nonpoint sources account for approximately 57% of P inputs to surface waters. Mitigation of nonpoint P losses is currently achieved through the implementation of source reduction strategies, such as matching fertilizer additions with crop deficiencies, and source interception strategies, such as trapping and retaining P-laden particles in runoff with the use of buffer zones. These best management practices (BMPs) can often fail to produce desired results, and sometimes their implementation is not practicable as a result of unfavourable onsite conditions. An example of such a case is the loss of dissolved P from clearfelling on blanket peat forestry plantations. These P losses are unamenable to mitigation with standard BMPs such as the use of buffer zones, and source control is not feasible either, as these P losses primarily originate from harvesting residues utilised to form brash mats. These mats
Multi-Objective Optimization for Software Development Projects

The development of software projects requires the co-ordination of the efforts of a team of professionals with varying skills. The major problem in software development is to assign the right personnel to the right job at the right time and at the right cost. In this study, we propose a skill-to-time model in which the task processing time varies in accordance with the level of skill possessed by the personnel assigned to the task. We cast the problem as a multi-objective optimization problem and simultaneously optimize the development cost and the development time using the Multi-Objective Particle Swarm Optimization algorithm. The optimization result is a well-defined and well-spread Pareto front representing the trade-off between development time and development cost.
Confirmation of a change in the global shear velocity pattern at around 1000 km depth

S. Durand,1,2 E. Debayle,1 Y. Ricard,1 C. Zaroli3 and S. Lambotte3 1Laboratoire de Géologie de Lyon—Terre, Planètes, Environnement, CNRS, UMR 5276, École Normale Supérieure de Lyon, Université de Lyon, Université Claude Bernard Lyon 1, 2 rue Raphaël Dubois, Bâtiment Géode F-69622 Villeurbanne Cedex, France. E-mail: durand@uni-muenster.de 2Institut für Geophysik, Corrensstr. 24, D-48149 Münster, Deutschland 3Institut de Physique du Globe de Strasbourg, UMR 7516, Université de Strasbourg, EOST/CNRS, Strasbourg, France
Automated Generation of Models for Demand Side Flexibility Using Machine Learning: An Overview

Flexibility in consumption and production provided by distributed energy resources (DERs) is a key to the integration of renewable energy sources into the energy system. However, even for identical DERs, the flexibility can vary widely, based on local constraints and circumstances. Therefore, handcraftingmodelscanbelabor-intensiveandautomatingthegenerationofmodelscouldhelpincreasingthevolumeofcontrollableflexibilityinsmart grids.Dependingontheunderlyingmechanismforcontrollingdemandsideflexibility,therearevariouswayshowanautomationcanbeachieved. In this paper, we discuss fundamental concepts relevant to the automated generationofmodelsfordemandsideflexibility,giveanoverviewofdifferent approaches,andpointoutfundamentaldifferences.Themainfocusliesonmodelgenerationbymeansofmachinelearningtechniques. CCS
Utilizing VR for Manufacturing Learning and Training Utilizing VR for Manufacturing Learning and Training

This paper looks into the world of virtual reality as seen from the manufacturing point of view, specifically inside manufacturing education. Virtual reality is growing within many industries including manufacturing and is a key piece in Industry 4.0. Every year, the capabilities of virtual reality grow as the resolution of screens progresses to the point where it can simulate near-perfect depictions of reality as processing power continues to grow. This opens a massive amount of potential into things like training. Especially in the current environment where learning virtually has become the norm, being able to have hands-on experience can help education by a large margin. In this project a virtual reality environment was created in which those unable to or are simply interested can experience and learn how to utilize CNC machines. Working, visually appealing models of the laboratory machines were being constructed with machining models that can be implemented within them. Step-by-step instructions were created for the use of these models.
Towards a Unified Framework for Scientific Computing

Most finite element, or finite volume software is built around a fixed mesh data structure. Therefore, each software package can only be used efficiently for a relatively narrow class of applications. For example, implementations supporting unstructured meshes allow the approximation of complex geometries but are in general much slower and require more memory than implementations using structured meshes. In this paper we show how a generic mesh interface can be defined such that one algorithm, e. g. a discretization scheme, works on different mesh implementations. For a cell centered finite volume scheme we show that the same algorithm runs thirty times faster on a structured mesh implementation than on an unstructured mesh and is only four times slower than a non-generic version for a structured mesh. The generic mesh interface is realized within the Distributed Unified Numerics Environment DUNE.
Tools for System Identification and Control using Neural Networks in Process Engineering

for identification and control of nonlinear processes in process engineering. The lack of software tools for the design of controllers based on neural network models is particularly pronounced in this field. SIMULINK is properly a widely used graphical code development environment which allows system-level developers to perform rapid prototyping and testing. Such graphical based programming environment involves block-based code development and offers a more intuitive approach to modeling and control task in a great variety of engineering disciplines. In this paper a SIMULINK based Neural Tool has been developed for analysis and design of multivariable neural based control systems. This tool has been applied to the control of a high purity distillation column including non linear hydrodynamic effects. The proposed control scheme offers an optimal response for both theoretical and practical challenges posed in process control task, in particular when both, the quality improvement of distillation products and the operation efficiency in economical terms are considered.
Software Tools for System Identification and Control using Neural Networks in Process Engineering

— Neural networks offer an alternative approach both for identification and control of nonlinear processes in process engineering. The lack of software tools for the design of controllers based on neural network models is particularly pronounced in this field. SIMULINK is properly a widely used graphical code development environment which allows system-level developers to perform rapid prototyping and testing. Such graphical based programming environment involves block-based code development and offers a more intuitive approach to modeling and control task in a great variety of engineering disciplines. In this paper a SIMULINK based Neural Tool has been developed for analysis and design of multivariable neural based control systems. This tool has been applied to the control of a high purity distillation column including non linear hydrodynamic effects. The proposed control scheme offers an optimal response for both theoretical and practical challenges posed in process control task, in particular when both, the quality improvement of distillation products and the operation efficiency in economical terms are considered .
A Large-Scale Model of the Functioning Brain

clicking here. colleagues, clients, or customers by , you can order high-quality copies for your If you wish to distribute this article to others here. following the guidelines can be obtained by Permission to republish or repurpose articles or portions of articles ): July 2, 2013 www.sciencemag. org (this information is current as of The following resources related to this article are available online at http://www.sciencemag. org/content/338/6113/1420.2. full.html A correction has been published for this article at: http://www.sciencemag. org/content/338/6111/1202.full.html version of this article at: including high-resolution figures, can be found in the online Updated information and services, http://www.sciencemag. org/content/suppl/2012/11/28/338.6111. 1202.DC1. html can be found at: Supporting Online Material http://www.sciencemag. org/content/338/6111/1202.full.html#related found at: can be related to this article A list of selected additional articles on the Science Web sites http://www.sciencemag. org/content/338/6111/1202.full.html#ref-list-1 , 18 of which can be accessed free: cites 58 articles This article http://www.sciencemag. org/content/338/6111/1202.full.html#related-urls 2 articles hosted by HighWire Press; see: cited by This article has been http://www.sciencemag. org/cgi/collection/comp_math Computers, Mathematics subject collections: This article appears in the following
Mining Emerging Patterns for recognizing activities of multiple users in pervasive computing

Understanding and recognizing human activities from sensor readings is an important task in pervasive computing. In this paper, we investigate the fundamental problem of recognizing activities for multiple users from sensor readings in a home environment, and propose a novel pattern mining approach to recognize both single-user and multi-user activities in a unified solution. We exploit Emerging Pattern - a type of knowledge pattern that describes significant changes between classes of data - for constructing our activity models, and propose an Emerging Pattern based Multi-user Activity Recognizer (epMAR) to recognize both single-user and multi-user activities.
The Implementation of the Cilk-5 Multithreaded Language

The fth release of the multithreaded language Cilk uses a provably good \work-stealing" scheduling algorithm similar to the rst system, but the language has been completely redesigned and the runtime system completely reengineered. The eeciency of the new implementation was aided by a clear strategy that arose from a theoretical analysis of the scheduling algorithm: concentrate on minimizing overheads that contribute to the work, even at the expense of overheads that contribute to the critical path. Although it may seem counterintuitive to move overheads onto the critical path, this \work-rst" principle has led to a portable Cilk-5 implementation in which the typical cost of spawning a parallel thread is only between 2 and 6 times the cost of a C function call on a variety of contemporary machines. Many Cilk programs run on one processor with virtually no degradation compared to equivalent C programs. This paper describes how the work-rst principle was exploited in the design of Cilk-5's compiler and its runtime system. In particular, we present Cilk-5's novel \two-clone" compilation strategy and its Dijkstra-like mutual-exclusion protocol for implementing the ready deque in the work-stealing scheduler. 1 Introduction Cilk is a multithreaded language for parallel programming that generalizes the semantics of C by introducing linguistic constructs for parallel control. The original Cilk-1 release 3, 4, 18] featured a provably eecient, randomized, \work-stealing" scheduler 3, 5], but the language was clumsy, because parallelism was exposed \by hand" using explicit continuation passing. The Cilk language implemented by
Unifying Performance Analysis of Linear MIMO Receivers in Correlated Rayleigh Fading Environments

integral representation of the Gaussian Q function, it is then shown that the SER can be expressed in terms of a single integral. The novel approach is exact, non-asymptotic in the number of antenna elements, and unifies and complements existing partial solutions, thereby comprising the practically important case of multiuser smart antenna applications with optimum combining algorithm at the base station. Moreover, we present concise asymptotical expressions for the high SNR regime that allow for a simple assessment of the influence of fading correlation on the SER performance. Monte-Carlo simulations confirm the validity and accuracy of the analysis. The authors expect that the mathematical tools presented in this paper can be applied for solving a variety of other problems in communication theory.
Challenges in digital forensics

Abstract Various terms have been used to describe the intersection between computing technology and violations of the law-including computer crime, electronic crime, and cybercrime. While there remains little agreement on terminology, most experts agree that the use of electronic devices to commit crime has increased dramatically and is now commonplace. It is the role of the digital investigator to bring cybercriminals to justice. Cybercrime however differs from traditional crime and presents a variety of unique challenges including the variety of electronic devices available, amount of data produced by these devices, the absence of standard practices and guidelines for analyzing that data, the lack qualified personnel to perform investigations and the lack of resources to provide on-going training. This paper examines these challenges
E-Voting in an Ubicomp World Trust , Privacy , and Social Implications

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