Miracle-dz/UniFAR-FTUs huggingface dataset:
Real-time Parallel Processing System Design and Implementation for Underwater Acoustic Communication Based on Multiple Processors

ADSP-TS101 is a high performance DSP with good properties of parallel processing and high speed.According to the real-time processing requirements of underwater acoustic communication algorithms,a real-time parallel processing system with multi-channel synchronous sample,which is composed of multiple ADSP-TS101s,is designed and carried out.For the hardware design,field programmable gate array(FPGA)logical control is adopted for the design of multi-channel synchronous sample module and cluster/data flow associated pin connection mode is adopted for multiprocessing parallel processing configuration respectively.And the software is optimized by two kinds of communication ways:broadcast writing way through shared bus and point-to-point way through link ports.Through the whole system installation,connective debugging,and experiments in a lake,the results show that the real-time parallel processing system has good stability and real-time processing capability and meets the technical design requirements of real-time processing.
LA POLITIQUE DES CLUSTERS AU MAROC QUEL AVANTAGE POUR LE SECTEUR DE TEXTILE-HABILLEMENT

Au cours des deux dernieres decennies, l’interet pour les clusters s’est affirme partout dans le monde. Les entreprises, avec l’emergence de la mondialisation, s’etant trouvees confrontees a une concurrence accrue. Les clusters, par les liens qu’ils tissent en leur sein, leur recherche permanente d’innovation, leur ouverture sur l’exterieur, offrent une reponse adaptee aux entreprises. Ils repondent au mieux a l’actualite d'integration economique mondiale. Le Maroc les a rapidement places au centre de sa politique industrielle.
Expansion Strategy in the Translation of Iltifāt in Sūrat Al-Baqarah

This study examines the application of expansion strategy in translating iltifāt in Sūrat al-Baqarah. Iltifāt is one of the styles of the holy Qur’ān and it represents the switch from one mode to another including pronouns, tenses, and gender, and this study focuses on translating iltifāt in pronouns. To explore the usage of expansion strategy in translating iltifāt, the latter was examined in Sūrat al-Baqarah and its translation by Ali (2008). Creating a faithful translation via expansion or explicitation is a challenging task for the translator. Data were selected from specific iltifāts in Sūrat al-Baqarah, namely those in which expansion strategy had been used. The selected data were then classified on the basis of reasons for which expansion strategy was used and the effectiveness of expansion strategy in translating iltifāt in pronouns was described and discussed.
Reference audit information generation for intrusion-detection systems

This paper addresses the problem of generating reference audit information used in the intrusion-detection technique proposed by Forrest et al. (1996). This technique uses a model of normal behavior of the information system being monitored to detect attacks against it. We present a novel approach to collect the reference behavior information used by the intrusion-detection system to solve the problem identified by Forrest et al. (1997). The model of normal behavior is extracted from this reference information, and then tested against real user activity and attacks.
Face Recognition Based on Multi-scale Block Local Binary Pattern

We proposed a face recognition representation method,called multi-scale block Local Binary Pattern.The Local Binary Pattern(LBP) was proved to be effective for image representation,but it was too local to be robust.In MS-BLBP,the computation was done based on average values of block subregions,instead of individual pixels.The face area was first divided into small regions from which Block Local Binary Patterns(BLBP) with different weights histograms were extracted and concatenated into a single,spatially enhanced feature histogram efficiently representing the face ima-ge.The classification was performed using a nearest neighbour classifier in the computed feature space with Chi square as a dissimilarity measure.Experiments in face databases show that the proposed MS-BLBP method outperforms other LBP based face recognition algorithms.
NOMA Transceiver Design for Highway Transportation in Mobile Hotspot Networks

The mobile hotspot network (MHN), which is capable of providing a data rate of gigabits per second at high speed, is considered a potential use case of the future enhanced mobile broadband for 5G. Because a unidirectional network deployment has been considered for an MHN, non‐orthogonal multiple access (NOMA) can be employed to improve the system performance. For a practical implementation of NOMA under an MHN highway scenario where multiple pieces of MHN terminal equipment are served through the same beam simultaneously, a NOMA transceiver is proposed in this paper. For the NOMA transmitter, Gray‐coded QAM constellation mapping is extended to arbitrary modulation order q. For the NOMA receiver, successive interference cancellation (SIC) is no longer necessary, and instead, a parallel demodulation is proposed. The numerical and simulation results suggest that the proposed NOMA transceiver outperforms the conventional NOMA SIC receiver and can be flexibly used for an MHN highway scenario.
Component based Software Version Management System

The unit of traditional software version control is a file.Version control of large unit is required while developing large software systems that contain a great number of files.Furthermore,it is needed to support component based software development,which is the trend of software industry.In this paper,it is proposed that the basic version control unit should be a component,and that the concurrency control unit should be different from version control unit,thus it can improve the capability of concurrency control while using a large version control unit.
An Experiment on Autoregressive and Threshold 
Autoregressive Models with Non-Gaussian Error with 
Application to Realized Volatility

This article explores the fitting of Autoregressive (AR) and Threshold AR (TAR) models witha non-Gaussian error structure. This is motivated by the problem of finding a possible probabilisticmodel for the realized volatility. A Gamma random error is proposed to cater for the non-negativity ofthe realized volatility. With many good properties, such as consistency even for non-Gaussian errors,the maximum likelihood estimate is applied. Furthermore, a non-gradient numerical Nelder–Meadmethod for optimization and a penalty method, introduced for the non-negative constraint imposedby the Gamma distribution, are used. In the simulation experiments, the proposed fitting methodfound the true model with a rather insignificant bias and mean square error (MSE), given the true ARor TAR model. The AR and TAR models with Gamma random error are then tested on empiricalrealized volatility data of 30 stocks, where one third of the cases are fitted quite well, suggestingthat the model may have potential as a supplement for current Gaussian random error models withproper adaptation.
Hash Functions Based on Block Ciphers

In this paper, a hash function with lower rate but higher efficiency is proposed and it can be built on insecure compression functions. The security of this scheme is proved under black-box model and some compression function based on block ciphers are given to build this scheme. It is also shown that key schedule is a more important factor affecting the efficiency of a block-cipher-based hash function than rate. The new scheme only needs 2 keys and the key schedule of it can be pre-computed. It means the new scheme need not re-schedule the keys at every step during the iterations and its efficiency is improved.
Continuous Sign Recognition of Brazilian Sign Language in a Healthcare Setting

Communication is the basis of human society. The majority of people communicate using spoken language in oral or written form. However, sign language is the primary mode of communication for deaf people. In general, understanding spoken information is a major challenge for the deaf and hard of hearing. Access to basic information and essential services is challenging for these individuals. For example, without translation support, carrying out simple tasks in a healthcare center such as asking for guidance or consulting with a doctor, can be hopelessly difficult. Computer-based sign language recognition technologies offer an alternative to mitigate the communication barrier faced by the deaf and hard of hearing. Despite much effort, research in this field is still in its infancy and automatic recognition of continuous signing remains a major challenge. This paper presents an ongoing research project designed to recognize continuous signing of Brazilian Sign Language (Libras) in healthcare settings. Health emergency situations and dialogues inspire the vocabulary of the signs and sentences we are using to contribute to the field.
Reusable Mathematical Models

Mathematically proving programs is hard and time-consuming. Although there exist a number of formal approaches to software engineering, they do not leverage the most beneficial concept in software engineering: Reuse of software elements, not only in terms of functionality, but also as mathematically proven units. In this book we develop a framework of reusable mathematical models for EIFFEL contracts, enabling rigorous reusable specifications using the Design by Contract(TM) method. We introduce the Intermediate Functional Language (IFL), based on the EIFFEL language and specifically designed to support high-level mathematical structures. To give a proof of concept, we complete specifications for parts of the ISE EiffelBase library. The principal contribution of this book is the Mathematical Model Library (MML) that enables powerful and expressive model contracts in IFL. We present tools that help extracting proof obligations from specifications. This book addresses advanced software engineers and researchers interested in automatic proofs of programs and components, as well as software developers focusing on processes of specifying complex software systems.
Cross-Layer Framework for Power Conservation in Wireless Ad Hoc Networks: A Case Study

Most of the wireless ad hoc networks have battery-powered nodes, so the life of the network depends on the power of the nodes. Power conservation is one of the main issues of wireless ad hoc networks. Power conservation can be achieved in two different ways: power control algorithms and power management algorithms. Transmission power control is one example of a cross-layer design problem. The purpose of this chapter is to discuss transmission power control problems and one possible solution by using cross layer framework through a case study. This chapter describes two cross-layer power control protocols developed at two different layers and also presents the effect of applying the combination of these protocols through a simulation study using Glomosim. DOI: 10.4018/978-1-4666-0960-0.ch010
Network Design with Facility Location Approximation and Exact Techniques

In this thesis, we consider a family of problems that combine network design and facility location. Such problems arise in many practical applications in different fields such as telecommunications, transportation networks, logistic, and energy supply networks. In facility location problems, we want to decide which facilities to open and how to assign clients to the open facilities so as to minimize the sum of the facility opening costs and client connection costs. These problems typically do not involve decisions concerning the routing of the clients’ demands to the open facilities; once we decided on the set of open facilities, each client is served by the closest open facility. In network design problems, on the other hand, we generally want to design and dimension a minimumcost routing network providing sufficient capacities to route all clients’ demands to their destinations. These problems involve deciding on the routing of each client’s demand. But, in contrast to facility location problems, demands’ destinations are predetermined. In many modern day applications, however, all these decisions are interdependent and affect each other. Hence, they should be taken simultaneously. A naive strategy that first decides which facilities to open, and then builds routing networks connecting clients to the open facilities, may lead to very poor solutions. This has motivated several new combined network design facility location problems which are studied in this thesis. We develop new algorithmic techniques and solution approaches for these problems, building on the known techniques for facility location and network design. In a first line of work, we study problems that integrate buy-at-bulk network design into the classical facility location problem. More precisely, we consider generalizations of the facility location problem where multiple clients may share capacitated trees to connect to the open facilities instead of requiring direct links. The task is to open facilities (sinks) and route all clients’s demands to the open facilities via a capacitated access network that is constructed by installing access cables of different costs and capacities. On the theoretical side, we present the first LP-based approximation algorithm for this problem and prove an upper bound of O(K) on the Integrality gap of the underlying LP. We also undertake the first computational study for this problem. To this end, we provide compact and exponential-sized formulations for the problem and develop a branch-cut-and-price algorithm allowing us to solve very large real-world instances of the problem. In many real-world applications, particularly in telecommunications, there is the additional requirement to connect the open facilities via high bandwidth core cables. In
PUBLIC DEBT MANAGEMENT AND TAX EVASION

Abstract This paper deals with the optimal management of the public debt-to-GDP ratio. We specifically focus on a contrasting tax evasion-based strategy for controlling the debt-to-GDP ratio. Two devices can be employed by the policymaker: by the one side, the tax rate is to be applied to the tax payers; by the other side, the monitoring activity is to be performed in order to detect the evaded taxes. To pursue our scopes, a stochastic control problem is developed and solved. Some numerical experiments validate the theoretical proposal and lead to an intuitive discussion of the obtained findings.
Information Sharing and Communications with Mobile Cloud Technology: Applications and Challenges

The use of mobile devices (e.g., smartphones, tablet computers, and PDAs) has steadily increased in recent years. At the same time the cloud-based applications have greatly enhanced the computing capabilities to these mobile devices. Therefore, the emergence of mobile-cloud technology is promising for offloading computations to the cloud. In this chapter we explore the state-of-the-art research in mobile-cloud technology and discuss the integration of the mobile devices and cloud-based applications. We begin by describing the mobile-cloud architecture and its functional components. Next, we explore the applications (e.g., education, healthcare, disaster management, etc.) and related challenges (e.g., bandwidth utilization, latency, connectivity, etc.) with the mobile-cloud technology. Finally, we outline the issues associated to these applications that need to be improved upon for delivering a more scalable and resource-enhanced mobile-cloud technology to the users.
Governments Should Play Games

Background. Gamification is concerned with the utilization of motivational affordances that create value-adding experience in the design of services. It has many applications in different fields and has been shown to be a good design methodology to influence motivation and behavioral change. Civic engagement and its online platforms could benefit from gamification, as these areas suffer from low engagement levels, thus defeating the purpose for which they are created. Purpose. There is a lack of understanding of how civic engagement platforms should be gamified to sustain active engagement and assist in community building, while also fulfilling their operational objectives. This article aims to provide a theoretical framework and guidelines for the gamification of civic engagement platforms. Contribution. A theoretical framework for the gamification of civic engagement platforms is presented, drawing upon self-determination theory and democratic deliberation theory. Through this work, we also identify future research directions and highlight the need for research on related subjects.
Can Community Resettlement be Considered a Resilient Move? Insights from a Slow-Onset Disaster in the Colombian Andes

Abstract The degree to which communities can best withstand various forms of external stress, as well as what constitutes community resilience has been a matter of debate in discussions of development, resilience building, adaptation and transformation. Drawing on insights from a field expedition to the indigenous reserve of Aponte in the Colombian Andes, this paper engages with the concept of transformational- and community resilience and problematizes the concept focusing particularly on its tendency to assume that disasters are one-off, sudden events that allow for sustainable recovery in their aftermath. Aponte faces complete ruination by a slow-onset geological hazard which has prompted discussions of relocation among other solutions – raising questions of whether and how resilience can be understood in the context of perpetually worsening conditions of environmental change.
Disposition of Merida city, Venezuela businesses to participate in alternative stock market

Alternative Stock Markets are a modality of stock markets, where shares of SME are traded on. These markets are an alternative for SME, as they can finance their growth (issue of shares) and also investors, who have an additional investment alternative. The research aimed to study the intention of Merida city, Venezuela businesses to participate in a potential Alternative Stock Market (ASM, private or public management) and determine which factors are significant in that participation. The results show that 85 % of Merida companies are willing to participate in a private ASM and 70 % of them in a public ASM.
Decentralized Search and the Clustering Paradox in Large Scale Information Networks

Amid the rapid growth of information today is the increasing challenge for people to navigate its magnitude. Dynamics and heterogeneity of large information spaces such as the Web raise important questions about information retrieval in these environments. Collection of all information in advance and centralization of IR operations are extremely difficult, if not impossible, because systems are dynamic and information is distributed. The chapter discusses some of the key issues facing classic information retrieval models and presents a decentralized, organic view of information systems pertaining to search in large scale networks. It focuses on the impact of network structure on search performance and discusses a phenomenon we refer to as the Clustering Paradox, in which the topology of interconnected systems imposes a scalability limit.
PENGARUH KINERJA KEUANGAN TERHADAP NILAI PERUSAHAAN DENGAN PENERAPAN GOOD CORPORATE GOVERNANCE PADA PERUSAHAAN YANG TERDAFTAR DI BURSA EFEK INDONESIA

This research aims to investigate the influence of firm performance and good corporate governance on firm value and investigate the interaction firm performance with good corporate governance. This study take 334 sample financial reporting of listed firm on Bursa Efek Indonesia in year 2012. The results showed that the index corporate governance (ICG), firm performance of ROA and ROE have not significant effect to of firm value PBV. But give significant positive effect if index corporate governance interacted with firm performance on firm value PBV.
Should Bitcoin be used to help devastated economies? Evidence from Greece

The worldwide heightened economic uncertainty in countries like Venezuela, India, Britain, and Italy has strengthened more demand for Bitcoin. The deadlock between Greece and creditors doesn't seem to be going away and Greeks are very tired of the most punishing austerity measures connected to repayments of the loans. Greek people, who become increasingly mistrustful of their government, found solace in the Bitcoin as a refuge asset. The novelty of this paper lies in its methodological approach, which can pinpoint the dynamic effects of uncertainty surrounding the debt crisis on the interest in Bitcoin as an alternative to conventional and state-sanctioned banking system. Our findings confirm the great resilience of Bitcoin during periods of turmoil, highlighting its potential safe haven ability against uncertainty.
Rapanui A Descriptive Grammar

Thank you for reading rapanui a descriptive grammar. As you may know, people have search hundreds times for their chosen readings like this rapanui a descriptive grammar, but end up in harmful downloads. Rather than enjoying a good book with a cup of coffee in the afternoon, instead they are facing with some malicious virus inside their computer. rapanui a descriptive grammar is available in our book collection an online access to it is set as public so you can get it instantly. Our book servers hosts in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the rapanui a descriptive grammar is universally compatible with any devices to read.
Secure image data transmission and hiding technique: a survey

is the need of today's era. In every field like data management, data communication, e-commerce etc. The security task is being complicated as there are variety of data to secure as different level of data security is needed based on the data type. In this paper we have discussed and analyse the image data security. Image cryptography, data hiding, image entropy and image XOR. Based on these parameters we have analysed the previous research work and discussed the advantages and gaps.
EmoRemSys: Sistema de recomendación de recursos educativos basado en detección de emociones

espanolActualmente existen diversos repositorios de recursos educativos los cuales brindan apoyo a los estudiantes en el proceso de ensenanza-aprendizaje. No obstante uno de los problemas que se les presentan a los estudiantes al hacer busquedas especificas de recursos en diferentes repositorios es que se encuentran con un gran numero de resultados y en ocasiones pierden demasiado tiempo para seleccionar un recurso o no encuentran lo que necesitan. En este trabajo se presenta EmoRemSys un sistema de recomendacion de recursos educativos basado en tecnicas de computacion afectiva que permite localizar recursos educativos con base en un analisis sentimental del estudiante haciendolo adaptable a las necesidades del usuario. Se describe a detalle el proceso de recomendacion basado en filtrado colaborativo y el proceso de obtencion del sentimiento. Los resultados muestran un alto porcentaje de precision en las recomendaciones hechas por EmoRemSys. EnglishNowadays, there are several repositories of educational resources which provide support to students in the teaching-learning process. However one of the problems that are presented to students to make specific searches for resources in different repositories is found with a large number of results and sometimes lose too much time to select a resource or can not find what they need. This paper presents EmoRemSys an educational recommender system based on affective computing techniques for locating educational resources by using emotions detection. The recommendation and emotion detection processes are described in detail. Results show a high percentage of precision about recommendations provided by EmoRemSys.