Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards an Ontology-based Knowledge Management: An Ontology Mediation Framework to Reconcile Inter-organizational Knowledge

XI ACKNOWLEDGEMENT XIII CHAPTER 1: BACKGROUND AND INTRODUCTION 1 1.1 RESEARCH PROBLEMS 2 1.2 RESEARCH AIMS 5 1.3 RESEARCH OBJECTIVES 5 1.4 RESEARCH METHOD AND APPROACH 5 1.5 RESEARCH CONTRIBUTION 6 1.6 THESIS ORGANIZATION 7 CHAPTER 2: LITERATURE REVIEW 9 2.1 KNOWLEDGE MANAGEMENT 9 2.2 ONTOLOGY 16 2.2.1 Background of Ontology 18 2.2.2 Web Ontology Languages 23 2.2.3 Ontology Mismatches and Mediation 26 2.3 CONCLUSION 42 CHAPTER 3: A SURVEY OF ONTOLOGY MATCHING TECHNIQUES 45 3.1 A REVIEW OF ONTOLOGY MATCHING TECHNIQUES 49 3.1.1 Shvaiko and Euzenat’s Classification of Ontology Matching Techniques 49 3.1.2 Literature Survey on Ontology Mediation Approaches 52 3.2 A DESIGN AND INPUT-SPECIFIC CLASSIFICATION OF ONTOLOGY MATCHING TECHNIQUES 65 3.3 CONCLUSION 73 CHAPTER 4: METHODOLOGY OF INTEGRATION-ORIENTED ONTOLOGY DEVELOPMENT 75 4.1 ANALYSIS OF ONTOLOGY DEVELOPMENT METHODOLOGY 76
Introducing Multiple Microphone Arrays for Enhancing Smart Home Voice Control (応用音響)

We have previously developed a voice control system for a home network system (HNS), using a microphone array technology. Although the microphone array achieved a convenient hands-free controller, a single array had limitations on coverage of sound collection and speech recognition rate. In this paper, we try to overcome the limitations by increasing the number of the microphone arrays. Specifically, we construct a microphone array network using four separate arrays, and enhance algorithms of sound source localization (SSL) and sound source separation (SSS) on the network. We also conduct an experimental evaluation, where precision of SSL and speech recognition rate are evaluated in a real HNS test-bed. As a result, it is shown that the usage of multiple arrays significantly improves the coverage and speech recognition ratio, compared with the previous system.
The Optimal Packet Duration of ALOHA and CSMA in Ad Hoc Wireless Networks

In this thesis the optimal transmission rate in ad hoc wireless networks is analyzed. The performance metric used in the analysis is probability of outage. In our system model, users/packets arrive randomly in space and time according to a Poisson point process, and are thereby transmitted to their intended destinations using either ALOHA or CSMA as the MAC protocol. Our model is based on an SINR requirement, i.e., the received SINR must be above some predetermined threshold value, for the whole duration of a packet, in order for the transmission to be considered successful. If this is not the case an outage has occurred. In order to analyze how the transmission rate affects the probability of outage, we assume packets of K bits, and let the packet duration, T, vary. The nodes in the network then transmit packets with a requested transmission rate of Rreq=K/T bits per second. We incorporate transmission rate into already existing lower bounds on the probability of outage of ALOHA and CSMA, and use these expressions to find the optimal packet duration that minimizes the probability of outage. For the ALOHA protocol, we derive an analytic expression for the optimal spectral efficiency of the network as a function of path loss, which is used to find the optimal packet duration Topt . For the CSMA protocol, the optimal packet duration is observed through simulations. We find that in order to minimize the probability of outage in our network, we should choose our system parameters such that our requested transmission rate divided by system bandwidth is equal to the optimal spectral efficiency of our network.
Cisco IOS in a Nutshell

Preface 1. Getting Started IOS User Modes Command-Line Completion Get to Know the Question Mark Command-Line Editing Keys Pausing Output show Commands 2. IOS Images and Configuration Files IOS Image Filenames The New Cisco IOS Packaging Model Loading Image Files Through the Network Using the IOS Filesystem for Images The Router's Configuration Loading Configuration Files 3. Basic Router Configuration Setting the Router Name Setting the System Prompt Configuration Comments The Enable Password Mapping Hostnames to IP Addresses Setting the Router's Time Enabling SNMP Cisco Discovery Protocol System Banners 4. Line Commands The line Command The Console Port Virtual Terminals (VTYs) Asynchronous Ports (TTYs) The Auxiliary (AUX) Port show line Reverse Telnet Common Configuration Items 5. Interface Commands Naming and Numbering Interfaces Basic Interface Configuration Commands The Loopback Interface The Null Interface Ethernet, Fast Ethernet, and Gigabit Ethernet Interfaces Token Ring Interfaces ISDN Interfaces Serial Interfaces Asynchronous Interfaces Interface show Commands 6. Networking Technologies Frame Relay ATM DSL Cable VoIP 7. Access Lists How Packets Match a List Entry Types of Access Lists Specific Topics 8. IP Routing Topics Autonomous System (AS) Numbers Interior and Exterior Gateway Protocols Distance-Vector and Link-State Routing Protocols Static Routes Split Horizon Passive Interfaces Fast Switching and Process Switching 9. Interior Routing Protocols RIP IGRP EIGRP OSPF IS-IS 10. Border Gateway Protocol Introduction to BGP A Simple BGP Configuration Route Filtering An Advanced BGP Configuration Neighbor Authentication Peer Groups Route Reflectors BGP Confederacies BGP TTL Security11. Quality of Service Marking Older Queuing Methods Modern IOS QoS Tools Congestion Avoidance Traffic Policing Traffic Shaping AutoQoS QoS Device Manager 12. Dial-on-Demand Routing Configuring a Simple DDR Connection Sample Legacy DDR Configurations Dialer Interfaces (Dialer Profiles) Multilink PPP Snapshot DDR 13. Specialized Networking Topics Bridging Hot Standby Routing Protocol (HSRP) Network Address Translation (NAT) Tunnels Encrypted Tunnels Multicast Routing Multiprotocol Label Switching (MPLS) 14. Switches and VLANs Switch Terminology IOS on Switches Basic Switch Configuration Trunking Switch Monitor Port for IDS or Sniffers Troubleshooting Switches 15. Router Security Securing Enable Mode Access Routine Security Measures Restricting Access to Your Router 16. Troubleshooting and Logging ping trace Debugging Logging 17. Quick Reference Appendix Index
Stochastic optimal control and sensori-motor integration

The paper discusses the problem of modelling intelligent behaviour using stochastic optimal control theory. The stochastic control solution requires state feed-back which requires vast computational resources both in terms of memory and computation. We argue that an efficient approach to this problem requires an integration of sensory and motor computation. We propose the path integral control framework as a natural theory for sensori-motor integration using a Bayesian framework.
Deep Feature Learning for Tibetan Speech Recognition using Sparse Auto-encoder

HMM models based on MFCC features are widely used by researchers in Tibetan speech recognition. Although the shallow models of HMM are effective, they cannot reflect the speech perceptual mechanism in human being’s brain. In this paper, we propose to apply sparse auto-encoder to learn deep features based on MFCC features for speech data. The deep features not only simulate sparse touches signal of the auditory nerve, and are significant to improve speech recognition accuracy with HMM models. Experimental results show that the deep features learned by sparse auto-encoder perform better on Tibetan speech recognition than MFCC features and the deep features learned by MLP. Keywords-deep feature learning; sparse auto-encoder; tibetan speech recognition; MFCC features
Analysis of OFDM-based intensity modulation techniques for optical wireless communications

Optical wireless communication (OWC) is a promising alternative to radio frequency (RF) communication with a significantly larger and unregulated spectrum. Impairments in the physical layer, such as the non-linear transfer characteristic of the transmitter, the dispersive optical wireless channel and the additive white Gaussian noise (AWGN) at the receiver, reduce the capacity of the OWC system. Single-carrier multi-level pulse position modulation (M-PPM) and multilevel pulse amplitude modulation (M-PAM) suffer from inter-symbol interference (ISI) in the dispersive channel which reduces their capacity even after channel equalization. Multi-carrier modulation such as optical orthogonal frequency division multiplexing (O-OFDM) with multilevel quadrature amplitude modulation (M-QAM) is known to maximize the channel capacity through bit and power loading. There are two general signal structures: bipolar Gaussian signal with a direct current (DC) bias, i.e. DC-biased O-OFDM (DCO-OFDM), or unipolar half- Gaussian signal, employing only the odd subcarriers, i.e. asymmetrically clipped O-OFDM (ACO-OFDM). In this thesis, the signal distortion from the transmitter nonlinearity is minimized through pre-distortion, optimum signal scaling and DC-biasing. The optical front-ends impose minimum, average and maximum optical power constraints, as well as an average electrical power constraint, on the information-carrying signals. In this thesis, the optical signals are conditioned within these constraints through optimum signal scaling and DC-biasing. The presented analysis of the optical-to-electrical (O/E) conversion enables the derivation of the electrical signal-to-noise ratio (SNR) at the receiver, including or excluding the additional DC bias power, which is translated into bit-error rate (BER) performance. In addition, a generalized piecewise polynomial model for the non-linear transfer characteristic of the transmitter is proposed. The non-linear distortion in O-OFDM is translated by means of the Bussgang theorem and the central limit theorem (CLT) into attenuation of the data-carrying subcarriers at the receiver plus zero-mean complex-valued Gaussian noise. The attenuation factor and the variance of the non-linear distortion noise are derived in closed form, and they are accounted towards the received electrical SNR. Through pre-distortion with the inverse of the proposed piecewise polynomial function, the linear dynamic range of the transmitter is maximized, reducing the non-linear distortion to double-sided signal clipping. Finally, the OWC schemes are compared in terms of spectral efficiency and electrical SNR requirement as the signal bandwidth exceeds the coherence bandwidth of the optical wireless channel for a practical 10 dB linear dynamic range. Through optimum signal scaling and DCbiasing, DCO-OFDM is found to achieve the highest spectral efficiency for a target SNR, neglecting the additional DC bias power. When the DC bias power is counted towards the signal power, DCO-OFDM outperforms PAM with linear equalization,…
Qualidade interna e microbiológica da casca de ovos de poedeiras comerciais revestidos com própolis e armazenados por diferentes períodos.

The objective of this study was to evaluate the interference of the washing process and coating with propolis solution 15% on internal quality and microbial count of shell eggs of laying hens subjected to different storage periods. For the experiment, 1020 eggs from laying the Bovans-White lineage were collected in 30 weeks of age, nine hundred eggs were used for internal quality, the eggs were distributed in a completely randomized design in a factorial scheme 6x5 (egg processing – washless, + 70% washless alcohol spray, + propolis washless solution spray 15%, wash with a mild liquid soap solution; washed + 70% alcohol solution spraying, washed + propolis solution spray 15% x period of storage0; 7; 14; 21; 28 days), with five repetitions and 120 eggs intended for microbiological analyzes in a completely randomized experimental design 6x2 processing of eggs washless; + 70% washless spray alcohol; + propolis washless solution spray 15%; Wash with mild liquid soap solution; washed + 70% alcohol solution for spraying; washed + propolis solution 15% x spray Storageperiod 0 to 28 days) with ten eggs per treatment. The results of the internal egg quality showed efficiency (P <0.05) between the different processes and storage periods only for specific gravity, pH of yolk and albumen. The internal quality of the eggs showed interaction (P <0.05) between different processes and storage periods only for specific gravity, pH of the yolk and albumen. Independent of the processing applied, the eggs had increased loss weight and reduction of % yolk and yolk index, Haugh unit and % albumen over storage. As for the coating used, regardless of the storage period, the eggs do not sanitized, but received spray with propolis showed less weight loss when compared to nonsanitized and those only washed and sprayed with alcohol. The counting of mesophilic aerobic microorganisms was lower initially when subjected to spray with alcohol, but this reduction was not maintained throughout the storage period. Growth of fungi, yeasts and bacteria was higher at the end of storage. After 28 days, the eggs were washed and subjected to peeling treatment surface (alcohol or propolis) reduced 100% Staphylococcus aureus count. The sputtering method with propolis solution 15% was not effective in maintaining the internal and microbial quality of shell eggs laying.
Modélisation des phases précoces de la maladie d’Alzheimer par transfert de gènes

L’evaluation de biomarqueurs et de therapies innovantes pour la maladie d’Alzheimer (MA) souffre de la mauvaise comprehension des phases initiales de la maladie mais egalement du manque de modeles animaux pertinents et proches de la physiopathologie humaine. La majorite des modeles rongeurs disponibles reproduisent en seulement quelques mois les lesions classiques de la MA telles que les plaques amyloides et les degenerescences neurofibrillaires (DNF), alors que leur apparition prend des annees chez l’Homme. L’objectif de mon travail de doctorat a ete de developper une nouvelle strategie de modelisation des phases precoces de la MA sans surexpression majeure de transgene. Pour cela, nous avons utilise le co-transfert des genes humains APPSL et PS1M146L a l’aide de vecteurs viraux dans l’hippocampe de souris et de rats de 8 semaines. Nous avons caracterise ces modeles et montre une production de peptides, comme le betaCTF ou l’abeta? 42 issus du clivage de l’APP, similaire a ce que l’on observe dans l’hippocampe de patients atteints de la MA. Nous avons egalement montre une hyperphosphorylation de Tau et une defaillance synaptique caracterisee par une diminution des niveaux de PSD-95 et GLT-1 ainsi que par une augmentation du courant tonique glutamatergique. Ces modifications ont enfin ete associees a des defauts comportementaux. Mes resultats suggerent que de nombreux evenements apparaissent bien avant la formation des plaques amyloides ou des DNFs et conduisent a une perturbation de la synapse et a l’apparition precoce de defauts comportementaux. Nous disposons donc d’outils relevants quant a la comprehension des premiers stades de la MA qui permettront a la fois de tester de nouveaux composes medicaments sur ces modeles a large fenetre therapeutique, et de decouvrir de nouveaux biomarqueurs precoces dans le plasma et le liquide cerebro-spinal.
Intentional Experiences: Teaching|Learning Mathematics with Young Children.

A recent emphasis on mathematics learning in the preschool years has sparked a flurry of research in children’s thinking; yet, the same attention has not been paid to teaching mathematics in preschools. This paper examines the reciprocal relationship of teaching|learning mathematics with young children and attempts to move discussions beyond teacher as facilitator or director and learner as explorer or incompetent/incomplete receiver. Through an analysis and discussion of excerpts from two adult/child interactions (one of whom is the researcher), I attend to intentional experiences of teaching and learning through an enactive lens. What is revealed is the shared responsibility for intentional (teaching) acts to disclose intentional (mathematical) objects such that the experiences expand possibilities for acting in a mathematical space. Paper presented at the Special Interest Group, Critical Perspectives in Early Childhood Education: New Perspectives on Early Childhood Education: Part 2. Annual Meeting of the American Educational Research Association, Denver, CO, May 1st, 2010.
Information Credibility Assessment and Meta Data Modeling in Integrating Heterogeneous Data Sources

Abstract : This effort identified several key issues and proposes a framework to solve the problem of credibility and validity assessment of information from various data sources for information fusion. This report outlines some of the important steps in a framework for an information validity assessment. The report also describes some algorithms for conflict resolution. The effort also proposes a prototype of a decision-support system to support the estimation of the composite data values from heterogeneous databases with different validity assessment values. As part of this effort this prototype has been implemented using Java and Oracle DBMS version 8i for helping people to make decisions under conflicting data situations and for information validity assessment based on the proposed meta-data conceptual modeling methodology. Finally, several issues closely related to information credibility assessment such as meta data modeling and reverse-engineering of existing database schemas into conceptual models are examined.
fr2sql : Interrogation de bases de données en français

Les bases de données sont de plus en plus courantes et prennent de plus en plus d’ampleur au sein des applications et sites Web actuels. Elles sont souvent amenées à être utilisées par des personnes n’ayant pas une grande compétence en la matière et ne connaissant pas rigoureusement leur structure. C’est pour cette raison que des traducteurs du langage naturel aux requêtes SQL sont développés. Malheureusement, la plupart de ces traducteurs se cantonnent à une seule base du fait de la spécificité de l’architecture de celle-ci. Dans cet article, nous proposons une méthode visant à pouvoir interroger n’importe quelle base de données à partir de questions en français. Nous évaluons notre application sur deux bases à la structure différente et nous montrons également qu’elle supporte plus d’opérations que la plupart des autres traducteurs.
Avis scientifique sur l'état du stock de perchaudes au lac Saint-Pierre, les indicateurs biologiques utilisés pour effectuer son suivi et la pertinence de protéger la période de fraye de façon partielle ou totale

Cet avis scientifique a ete commande par la Societe de la faune et des parcs du Quebec (FAPAQ) et le Ministere de l’Agriculture, des Pecheries et de l’Alimentation du Quebec (MAPAQ) en janvier 2002. Le contexte et le cadre de cet avis sont decrits a la section 1. Tout en donnant une trajectoire au texte, j’ai structure chacune des parties de facon a ce que le lecteur puisse passer d’une section a l’autre sans avoir a lire l’ensemble du texte. La premiere section (Introduction) presente l’historique de ce que j’appellerais « le dossier perchaude du lac Saint-Pierre » ainsi que le contexte et le cadre du mandat que m’ont confie la FAPAQ et le MAPAQ. La deuxieme section fait une revue des principaux indicateurs qui ont ete utilises jusqu’a present pour evaluer l’etat du stock de perchaudes du lac Saint-Pierre alors que la troisieme section, presente un diagnostic de l’etat actuel de ce stock. Dans la quatrieme section, je propose un protocole de suivi qui permettrait d’etablir l’etat du stock de perchaudes et l’efficacite des plans de gestion de peche dans le futur. Dans la cinquieme section, je presente une discussion de la pertinence de recourir a une protection totale ou partielle de la periode de fraye de la perchaude, comme moyen d’ameliorer l’etat du stock. Dans la sixieme section, je presente « les inconnues » qui risquent d’affecter l’equilibre de la population de perchaudes dans les annees a venir et enfin, dans la septieme section, le sommaire de mes conclusions et recommandations.
Evaluación del cumplimiento del protocolo de utilización de cloruro potásico

Objective: To analyze the degree of compliance with the “Guidelines for the safe use of potassium chloride” implemented in our hospital, using periodic audits, during the period 2013-2016. Methods: Descriptive study of the audits carried out at 6 months post-implementation (beginning of 2013) and then every year (2014-2016). The evaluation indicators were developed following the recommendations included in the Guidelines and referred to storage, prescription, preparation and administration of potassium solutions. The patient care units evaluated are: critical care authorized units (storage and independent double checks during preparation of solutions and before its administration) and all patient care units (prescription and correct labeling for its correct administration). Results: There were audited 55 patient care units, which showed a compliance of 100% for the prescription and correct labeling indicators. Of those units, 12 (critical and emergency units) are authorized to have concentrated potassium chloride ampoules 1M. These 12 units did not have a correct compliance with the other two indicators, because one unit did not show a correct storage (in 2014) and the double check required was not verified by 3 units in 2013, one in 2014 and 2015. Conclusion: The audits showed the correct follow-up with the Guidelines for most of the evaluated criteria, however demonstrated the need to carry out periodic strategies of intensification and remembrance to guarantee the correct compliance of all the established recommendations.
A Robust Method for Detecting DB-Outliers from High Dimensional Datasets

Outlier detection is a popular technique that can be utilized in many modern applications like finan- cial analysis and fraud detection. As data description becomes complex, operated datasets' dimensionalities keep monotone increasing. However, current researches find that it is extremely difficult to pick out outliers directly from high dimensional datasets owing to the curse of dimensionality. Moreover, general methods need some decisive parameters to be decided in advance. Such parameters usually have close connection with data distribution. There- fore, users always have no idea about proper parameters without identifying datasets beforehand. To address these problems, we introduce a method to discover exceptional objects that match users' intentions in high dimensional datasets. Compared with determining proper parameters, users are more easily to provide some outlier examples including their intensions. We make good use of outlier examples, examine behaviors of projections of these exam- ples and find an optimal subspace. The concept of DB- (Distance-Based) Outliers is employed to detect outliers in the optimal subspace. Our proposed method is robust to tolerate noises or inconsistencies interfusing in outlier examples. Experiments operate on both synthetic and real datasets. The results show that our proposed approach is effective and efficient at detecting outliers corresponding with users 'intensions in high dimensional datasets.